1
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Ziccheddu B, Giannotta C, D'Agostino M, Bertuglia G, Saraci E, Oliva S, Genuardi E, Papadimitriou M, Diamond B, Corradini P, Coffey D, Landgren O, Bolli N, Bruno B, Boccadoro M, Massaia M, Maura F, Larocca A. Genomic and immune determinants of resistance to daratumumab-based therapy in relapsed refractory multiple myeloma. Blood Cancer J 2024; 14:117. [PMID: 39030183 DOI: 10.1038/s41408-024-01096-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 07/01/2024] [Accepted: 07/08/2024] [Indexed: 07/21/2024] Open
Abstract
Targeted immunotherapy combinations, including the anti-CD38 monoclonal antibody (MoAb) daratumumab, have shown promising results in patients with relapsed/refractory multiple myeloma (RRMM), leading to a considerable increase in progression-free survival. However, a large fraction of patients inevitably relapse. To understand this, we investigated 32 relapsed MM patients treated with daratumumab, lenalidomide, and dexamethasone (Dara-Rd; NCT03848676). We conducted an integrated analysis using whole-genome sequencing (WGS) and flow cytometry in patients with RRMM. WGS before and after treatment pinpointed genomic drivers associated with early progression, including RPL5 loss, APOBEC mutagenesis, and gain of function structural variants involving MYC and chromothripsis. Flow cytometry on 202 blood samples, collected every 3 months until progression for 31 patients, revealed distinct immune changes significantly impacting clinical outcomes. Progressing patients exhibited significant depletion of CD38-positive NK cells, persistence of T-cell exhaustion, and reduced depletion of regulatory T cells over time. These findings underscore the influence of immune composition and daratumumab-induced immune changes in promoting MM resistance. Integrating genomics and flow cytometry unveiled associations between adverse genomic features and immune patterns. Overall, this study sheds light on the intricate interplay between genomic complexity and the immune microenvironment driving resistance to Dara-Rd in patients with RRMM.
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Affiliation(s)
- Bachisio Ziccheddu
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Claudia Giannotta
- Laboratory of Blood Tumor Immunology, Molecular Biotechnology Center "Guido Tarone", Department of Molecular Biotechnology and Health Sciences, Università di Torino, Torino, Italy
| | - Mattia D'Agostino
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| | - Giuseppe Bertuglia
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| | - Elona Saraci
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| | - Stefania Oliva
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| | - Elisa Genuardi
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| | - Marios Papadimitriou
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Benjamin Diamond
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Paolo Corradini
- Division of Hematology and Bone Marrow Transplant, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - David Coffey
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Ola Landgren
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Niccolò Bolli
- Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Oncology and Onco-Hematology, University of Milan, Milan, Italy
| | - Benedetto Bruno
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
| | | | - Massimo Massaia
- Laboratory of Blood Tumor Immunology, Molecular Biotechnology Center "Guido Tarone", Department of Molecular Biotechnology and Health Sciences, Università di Torino, Torino, Italy
- SC Ematologia, AO S. Croce e Carle, Cuneo, Italy
| | - Francesco Maura
- Myeloma Division, University of Miami, Sylvester Comprehensive Cancer Center, Miami, FL, USA.
| | - Alessandra Larocca
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, University of Torino, Torino, Italy
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2
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Bertrums EJM, de Kanter JK, Derks LLM, Verheul M, Trabut L, van Roosmalen MJ, Hasle H, Antoniou E, Reinhardt D, Dworzak MN, Mühlegger N, van den Heuvel-Eibrink MM, Zwaan CM, Goemans BF, van Boxtel R. Selective pressures of platinum compounds shape the evolution of therapy-related myeloid neoplasms. Nat Commun 2024; 15:6025. [PMID: 39019934 PMCID: PMC11255340 DOI: 10.1038/s41467-024-50384-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 07/08/2024] [Indexed: 07/19/2024] Open
Abstract
Therapy-related myeloid neoplasms (t-MN) arise as a complication of chemo- and/or radiotherapy. Although t-MN can occur both in adult and childhood cancer survivors, the mechanisms driving therapy-related leukemogenesis likely vary across different ages. Chemotherapy is thought to induce driver mutations in children, whereas in adults pre-existing mutant clones are selected by the exposure. However, selective pressures induced by chemotherapy early in life are less well studied. Here, we use single-cell whole genome sequencing and phylogenetic inference to show that the founding cell of t-MN in children starts expanding after cessation of platinum exposure. In patients with Li-Fraumeni syndrome, characterized by a germline TP53 mutation, we find that the t-MN already expands during treatment, suggesting that platinum-induced growth inhibition is TP53-dependent. Our results demonstrate that germline aberrations can interact with treatment exposures in inducing t-MN, which is important for the development of more targeted, patient-specific treatment regimens and follow-up.
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Affiliation(s)
- Eline J M Bertrums
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
- Department of Pediatric Oncology/Hematology, Erasmus Medical Center - Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Jurrian K de Kanter
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Lucca L M Derks
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Mark Verheul
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Laurianne Trabut
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Markus J van Roosmalen
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Henrik Hasle
- Department of Pediatrics, Aarhus University Hospital, Aarhus, Denmark
| | - Evangelia Antoniou
- Clinic of Pediatrics III, University Hospital of Essen, Essen, Germany
- AML-BFM Study Group, Essen, Germany
| | - Dirk Reinhardt
- Clinic of Pediatrics III, University Hospital of Essen, Essen, Germany
- AML-BFM Study Group, Essen, Germany
| | - Michael N Dworzak
- St. Anna Children's Cancer Research Institute, Vienna, Austria
- St. Anna Children's Hospital, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - Nora Mühlegger
- St. Anna Children's Cancer Research Institute, Vienna, Austria
| | | | - C Michel Zwaan
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
- Department of Pediatric Oncology/Hematology, Erasmus Medical Center - Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Bianca F Goemans
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands
| | - Ruben van Boxtel
- Princess Máxima Centrum for pediatric oncology, Utrecht, the Netherlands.
- Oncode Institute, Utrecht, the Netherlands.
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3
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Huang RJ, Huang YS, An N, Hu JJ, Wu CY, Chen YX, Chen JY, Zhao Q, Xu RH, Yuan SQ, Wang F. Pan-cancer analysis of heterogeneity of tumor mutational burden and genomic mutation under treatment pressure. ESMO Open 2024; 9:103494. [PMID: 38981309 DOI: 10.1016/j.esmoop.2024.103494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/16/2024] [Accepted: 05/07/2024] [Indexed: 07/11/2024] Open
Abstract
BACKGROUND High tumor mutational burden (TMB) is one of the widely researched predictive biomarkers of immune checkpoint inhibitors and has been shown to be closely related with response to immunotherapy in multiple cancer types. However, for patients who have failed conventional therapy and are about to undergo immunotherapy, there is no consensus recommendation on the timing of tumor sampling for TMB analysis, and the effects of different therapies on TMB have not been clarified. This retrospective observational study aimed to investigate the heterogeneity of TMB and genomic mutation under the treatment pressure. PATIENTS AND METHODS We retrospectively collected the available genomic and therapeutic information from 8051 samples across 15 tumor types (>50 samples/tumor) found in 30 published studies and investigated the distribution and heterogeneity of TMB under treatment across diverse cohorts. RESULTS This integrated analysis has shown anticancer treatments increased TMB. Significant effects of treatment on TMB were more frequently observed in tumor types with lower treatment-naïve TMB, including breast, prostate, and pediatric cancers. For different cancer therapies, chemotherapy was prone to be correlated with an increased TMB in most cancer types. Meanwhile, the fraction of the TMB-high category of breast, prostate, and bladder cancers and glioma increased significantly after chemotherapy. Several actionable genes including ERS1 and NF1 in breast cancer, as well as some prognostic markers including TERT in bladder cancer and IDH1 in glioma, were significantly changed in post-chemotherapy tumors compared to treatment-naïve tumors. CONCLUSION Our study reveals the heterogeneity of TMB under treatment across diverse cancer types and provides evidences that chemotherapy was associated with increases in TMB as well as the fraction of TMB-high category, suggesting that resampling tumor tissues for calculating post-chemotherapy TMB could be a better option for predicting the response to immunotherapy, especially for tumors with initially low TMB.
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Affiliation(s)
- R J Huang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou
| | - Y S Huang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou
| | - N An
- Department of Gastric Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou
| | - J J Hu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou
| | - C Y Wu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou
| | - Y X Chen
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou
| | - J Y Chen
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou
| | - Q Zhao
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou; Bioinformatic Platform, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou
| | - R H Xu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China.
| | - S Q Yuan
- Department of Gastric Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou.
| | - F Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China.
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4
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O’Reilly M, Krstic A, Iglesias-Martinez LF, Ryan ÉJ, Moran B, Winter D, Sheahan K, McDermott R, Kolch W. Genomic and Transcriptomic Analysis of a Patient with Early-Onset Colorectal Cancer and Therapy-Induced Focal Nodular Hyperplasia: A Case Report. J Pers Med 2024; 14:639. [PMID: 38929861 PMCID: PMC11204579 DOI: 10.3390/jpm14060639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 06/04/2024] [Accepted: 06/13/2024] [Indexed: 06/28/2024] Open
Abstract
Early-onset colorectal cancer (EOCRC), defined as colorectal cancer in individuals under 50 years of age, has shown an alarming increase in incidence worldwide. We report a case of a twenty-four-year-old female with a strong family history of colorectal cancer (CRC) but without an identified underlying genetic predisposition syndrome. Two years after primary surgery and adjuvant chemotherapy, the patient developed new liver lesions. Extensive diagnostic imaging was conducted to investigate suspected liver metastases, ultimately leading to a diagnosis of focal nodular hyperplasia. The young age of the patient has prompted comprehensive genomic and transcriptomic profiling in order to identify potential oncogenic drivers and inform further clinical management of the patient. Besides a number of oncogenic mutations identified in the patient's tumour sample, including KRAS G12D, TP53 R248W and TTN L28470V, we have also identified a homozygous deletion of 24.5 MB on chromosome 8. A multivariate Cox regression analysis of this patient's mutation profile conferred a favourable prognosis when compared with the TCGA COADREAD database. Notably, the identified deletion on chromosome 8 includes the WRN gene, which could contribute to the patient's overall positive response to chemotherapy. The complex clinical presentation, including the need for emergency surgery, early age at diagnosis, strong family history, and unexpected findings on surveillance imaging, necessitated a multidisciplinary approach involving medical, radiation, and surgical oncologists, along with psychological support and reproductive medicine specialists. Molecular profiling of the tumour strongly indicates that patients with complex mutational profile and rare genomic rearrangements require a prolonged surveillance and personalised informed interventions.
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Affiliation(s)
- Mary O’Reilly
- Systems Biology Ireland, School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland; (A.K.); (L.F.I.-M.); (W.K.)
- St. Vincent’s University Hospital, University College Dublin, D04 V1W8 Dublin, Ireland; (É.J.R.); (B.M.); (D.W.); (K.S.); (R.M.)
| | - Aleksandar Krstic
- Systems Biology Ireland, School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland; (A.K.); (L.F.I.-M.); (W.K.)
| | - Luis F. Iglesias-Martinez
- Systems Biology Ireland, School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland; (A.K.); (L.F.I.-M.); (W.K.)
| | - Éanna J. Ryan
- St. Vincent’s University Hospital, University College Dublin, D04 V1W8 Dublin, Ireland; (É.J.R.); (B.M.); (D.W.); (K.S.); (R.M.)
| | - Bruce Moran
- St. Vincent’s University Hospital, University College Dublin, D04 V1W8 Dublin, Ireland; (É.J.R.); (B.M.); (D.W.); (K.S.); (R.M.)
| | - Des Winter
- St. Vincent’s University Hospital, University College Dublin, D04 V1W8 Dublin, Ireland; (É.J.R.); (B.M.); (D.W.); (K.S.); (R.M.)
| | - Kieran Sheahan
- St. Vincent’s University Hospital, University College Dublin, D04 V1W8 Dublin, Ireland; (É.J.R.); (B.M.); (D.W.); (K.S.); (R.M.)
| | - Ray McDermott
- St. Vincent’s University Hospital, University College Dublin, D04 V1W8 Dublin, Ireland; (É.J.R.); (B.M.); (D.W.); (K.S.); (R.M.)
| | - Walter Kolch
- Systems Biology Ireland, School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland; (A.K.); (L.F.I.-M.); (W.K.)
- Conway Institute, University College Dublin, D04 V1W8 Dublin, Ireland
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5
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Sánchez-Guixé M, Muiños F, Pinheiro-Santin M, González-Huici V, Rodriguez-Hernandez CJ, Avgustinova A, Lavarino C, González-Pérez A, Mora J, López-Bigas N. Origins of Second Malignancies in Children and Mutational Footprint of Chemotherapy in Normal Tissues. Cancer Discov 2024; 14:953-964. [PMID: 38501975 PMCID: PMC11145171 DOI: 10.1158/2159-8290.cd-23-1186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 12/20/2023] [Accepted: 02/15/2024] [Indexed: 03/20/2024]
Abstract
Pediatric cancers are rare diseases, and children without known germline predisposing conditions who develop a second malignancy during developmental ages are extremely rare. We present four such clinical cases and, through whole-genome and error-correcting ultra-deep duplex sequencing of tumor and normal samples, we explored the origin of the second malignancy in four children, uncovering different routes of development. The exposure to cytotoxic therapies was linked to the emergence of a secondary acute myeloid leukemia. A common somatic mutation acquired early during embryonic development was the driver of two solid malignancies in another child. In two cases, the two tumors developed from completely independent clones diverging during embryogenesis. Importantly, we demonstrate that platinum-based therapies contributed at least one order of magnitude more mutations per day of exposure than aging to normal tissues in these children. SIGNIFICANCE Using whole-genome and error-correcting ultra-deep duplex sequencing, we uncover different origins for second neoplasms in four children. We also uncover the presence of platinum-related mutations across 10 normal tissues of exposed individuals, highlighting the impact that the use of cytotoxic therapies may have on cancer survivors. See related commentary by Pacyna and Nangalia, p. 900. This article is featured in Selected Articles from This Issue, p. 897.
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Affiliation(s)
- Mònica Sánchez-Guixé
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Ferran Muiños
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Morena Pinheiro-Santin
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Víctor González-Huici
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | | | - Alexandra Avgustinova
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Cinzia Lavarino
- Pediatric Cancer Center Barcelona (PCCB), Hospital Sant Joan de Déu, Barcelona, Spain
| | - Abel González-Pérez
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Jaume Mora
- Pediatric Cancer Center Barcelona (PCCB), Hospital Sant Joan de Déu, Barcelona, Spain
| | - Núria López-Bigas
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
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6
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Pacyna CN, Nangalia J. When Lightning Strikes Twice: Routes to Second Malignancies in Young Patients. Cancer Discov 2024; 14:900-902. [PMID: 38826099 DOI: 10.1158/2159-8290.cd-24-0325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
SUMMARY Given the rarity of cancer in childhood, it should be even more uncommon for pediatric cancer survivors to develop a second, independent malignancy, yet they incur a greatly elevated risk after initial remission. In this issue of Cancer Discovery, Sánchez-Guixé and colleagues unpick the origins of second tumours in four children, and the potential role platinum-based chemotherapy may play in subsequent tumorigenesis. See related article by Sánchez-Guixé et al., p. 953 (8).
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Affiliation(s)
| | - Jyoti Nangalia
- Wellcome Sanger Institute, Hinxton, United Kingdom
- Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Cambridge, United Kingdom
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7
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Graham JH, Schlachetzki JCM, Yang X, Breuss MW. Genomic Mosaicism of the Brain: Origin, Impact, and Utility. Neurosci Bull 2024; 40:759-776. [PMID: 37898991 PMCID: PMC11178748 DOI: 10.1007/s12264-023-01124-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/16/2023] [Indexed: 10/31/2023] Open
Abstract
Genomic mosaicism describes the phenomenon where some but not all cells within a tissue harbor unique genetic mutations. Traditionally, research focused on the impact of genomic mosaicism on clinical phenotype-motivated by its involvement in cancers and overgrowth syndromes. More recently, we increasingly shifted towards the plethora of neutral mosaic variants that can act as recorders of cellular lineage and environmental exposures. Here, we summarize the current state of the field of genomic mosaicism research with a special emphasis on our current understanding of this phenomenon in brain development and homeostasis. Although the field of genomic mosaicism has a rich history, technological advances in the last decade have changed our approaches and greatly improved our knowledge. We will provide current definitions and an overview of contemporary detection approaches for genomic mosaicism. Finally, we will discuss the impact and utility of genomic mosaicism.
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Affiliation(s)
- Jared H Graham
- Department of Pediatrics, Section of Clinical Genetics and Metabolism, University of Colorado School of Medicine, Aurora, 80045-2581, CO, USA
| | - Johannes C M Schlachetzki
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, 92093-0021, San Diego, CA, USA
| | - Xiaoxu Yang
- Department of Neurosciences, University of California San Diego, La Jolla, 92093-0021, San Diego, CA, USA
- Rady Children's Institute for Genomic Medicine, San Diego, 92123, CA, USA
| | - Martin W Breuss
- Department of Pediatrics, Section of Clinical Genetics and Metabolism, University of Colorado School of Medicine, Aurora, 80045-2581, CO, USA.
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8
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Duan M, Leng S, Mao P. Cisplatin in the era of PARP inhibitors and immunotherapy. Pharmacol Ther 2024; 258:108642. [PMID: 38614254 DOI: 10.1016/j.pharmthera.2024.108642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/21/2024] [Accepted: 03/29/2024] [Indexed: 04/15/2024]
Abstract
Platinum compounds such as cisplatin, carboplatin and oxaliplatin are widely used in chemotherapy. Cisplatin induces cytotoxic DNA damage that blocks DNA replication and gene transcription, leading to arrest of cell proliferation. Although platinum therapy alone is effective against many tumors, cancer cells can adapt to the treatment and gain resistance. The mechanisms for cisplatin resistance are complex, including low DNA damage formation, high DNA repair capacity, changes in apoptosis signaling pathways, rewired cell metabolisms, and others. Drug resistance compromises the clinical efficacy and calls for new strategies by combining cisplatin with other therapies. Exciting progress in cancer treatment, particularly development of poly (ADP-ribose) polymerase (PARP) inhibitors and immune checkpoint inhibitors, opened a new chapter to combine cisplatin with these new cancer therapies. In this Review, we discuss how platinum synergizes with PARP inhibitors and immunotherapy to bring new hope to cancer patients.
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Affiliation(s)
- Mingrui Duan
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM 87131, USA; University of New Mexico Comprehensive Cancer Center, Albuquerque, NM 87131, USA
| | - Shuguang Leng
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM 87131, USA; University of New Mexico Comprehensive Cancer Center, Albuquerque, NM 87131, USA.
| | - Peng Mao
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM 87131, USA; University of New Mexico Comprehensive Cancer Center, Albuquerque, NM 87131, USA.
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9
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Zhu Z, Dong S, Qin S, Gu K, Zhou Y. ANOS1 accelerates the progression of esophageal cancer identified by multi-omic approaches. Am J Cancer Res 2024; 14:2343-2370. [PMID: 38859828 PMCID: PMC11162658 DOI: 10.62347/spcp3536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 04/27/2024] [Indexed: 06/12/2024] Open
Abstract
To assess the role of ANOS1 in esophageal cancer (ESCA) progression, multi-omic analysis and experimental validation were employed. It was revealed that ANOS1 expression is significantly enhanced in ESCA patients and cell lines. The expression level of ANOS1 in ESCA patients can distinguish the malignancy from normal tissue with an area under curve (AUC) >0.75. Moreover, increased expression of ANOS1 is associated with advanced T stage and worse disease-free survival of ESCA patients. Therefore, a clinically applicable nomogram with ANOS1 was established with strong predictive power. Furthermore, high expression of ANOS1 in ESCA is correlated with (i) the enrichment of epithelial-mesenchymal transition by gene set enrichment analysis, (ii) the involvement in hypoxia, angiogenesis, WNT signaling pathway, and TGFβ signaling pathway by gene set variation analysis, (iii) the presence of the small insertion and deletion mutational signature ID9, associated with chromothripsis, in the single-nucleotide polymorphism analysis, (iv) the amplification of 11q13.3 in the copy number variants analysis, (v) the enrichment of cancer-associated fibroblasts and mesenchymal stromal cells in the tumor microenvironment. All the results from multi-omic analysis indicate that ANOS1 plays a pivotal role in accelerating the progression of ESCA. Results from in vivo and in vitro experiments show that the knockdown of ANOS1 hampers the proliferation of ESCA cells, further validating the oncogenic role of ANOS1 in ESCA. Additionally, potential chemotherapeutics with sensitivity were identified in the high-ANOS1 group. In conclusion, ANOS1 accelerates the progression of ESCA.
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Affiliation(s)
- Zuoquan Zhu
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan UniversityWuxi 214000, Jiangsu, China
| | - Shikun Dong
- Department of Otorhinolaryngology, Zhongda Hospital, Southeast UniversityNanjing 210009, Jiangsu, China
| | - Shaolei Qin
- Jiangnan UniversityWuxi 214000, Jiangsu, China
| | - Ke Gu
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan UniversityWuxi 214000, Jiangsu, China
| | - Yanjun Zhou
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan UniversityWuxi 214000, Jiangsu, China
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10
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Ma Z, Zeng P, Zhai T, Zhao Y, Liang H. In Situ Mitochondrial Biomineralization for Drug-Free Cancer Therapy. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2310218. [PMID: 38315577 DOI: 10.1002/adma.202310218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 01/13/2024] [Indexed: 02/07/2024]
Abstract
The common clinical chemotherapy often brings serious side effects to patients, mainly due to the off-target and leakage of toxic drugs. However, this is fatal for some specific clinical tumors, such as brain tumors and neuroma. This study performs a drug-free approach by encapsulating black phosphorus (BP) and calcium peroxide (CaO2) in liposomes with surface-modified triphenylphosphonium (BCLT) to develop mitochondria targeting calcification for cancer therapy without damaging normal cells. BCLT preferentially accumulates inside tumor mitochondria and then is activated by near-infrared (NIR) laser irradiation to produce abundant PO4 3- and Ca2+ to accelerate in situ mitochondrial mineralization, leading to mitochondrial dysfunction and cancer cell death. More importantly, both PO4 3- and Ca2+ are essential components of metabolism in the body, and random gradient diffusion or premature leakage does not cause damage to adjacent normal cells. This achievement promises to be an alternative to conventional chemotherapy in clinical practice for many specific tumor types.
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Affiliation(s)
- Zhaoyu Ma
- Department of Urology, Union Hospital, Tongji Medical College, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore
| | - Pei Zeng
- Department of Urology, Union Hospital, Tongji Medical College, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
| | - Tianyou Zhai
- Department of Urology, Union Hospital, Tongji Medical College, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
| | - Yanli Zhao
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore
| | - Huageng Liang
- Department of Urology, Union Hospital, Tongji Medical College, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
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11
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Jiani W, Qin T, Jie M. Tumor neoantigens and tumor immunotherapies. Aging Med (Milton) 2024; 7:224-230. [PMID: 38725698 PMCID: PMC11077340 DOI: 10.1002/agm2.12295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/01/2024] [Accepted: 03/28/2024] [Indexed: 05/12/2024] Open
Abstract
As a high-risk group of patients with cancer, the elderly exhibit limited efficacy with traditional treatments. Immunotherapy emerges as a promising adjunctive therapeutic approach that holds potential in addressing the needs of geriatric patients with cancer. Neoantigens, a unique class of tumor-specific antigens generated by non-synonymous mutations, are garnering increasing attention as targets for immunotherapy in clinical applications. Newly developed technologies, such as second-generation gene sequencing and mass spectrometry, have provided powerful technical support for the identification and prediction of neoantigens. At present, neoantigen-based immunotherapy has been extensively applied in clinical trials and has demonstrated both safety and efficacy, marking the beginning of a new era for cancer immunotherapy. This article reviews the conception, classification, inducers, and screening process of tumor neoantigens, as well as the application prospects and combination therapy strategies of neoantigen-based cancer immunotherapy.
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Affiliation(s)
- Wang Jiani
- Department of Biotherapy Center, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
| | - Tan Qin
- Department of Biotherapy Center, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
| | - Ma Jie
- Department of Biotherapy Center, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingChina
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12
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Struys I, Velázquez C, Devriendt K, Godderis L, Segers H, Thienpont B, van Boxtel R, Van Calsteren K, Voet T, Wolters V, Lenaerts L, Amant F. Evaluating offspring Genomic and Epigenomic alterations after prenatal exposure to Cancer treatment In Pregnancy (GE-CIP): a multicentric observational study. BMJ Open 2024; 14:e081833. [PMID: 38548357 PMCID: PMC10982724 DOI: 10.1136/bmjopen-2023-081833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 03/05/2024] [Indexed: 04/02/2024] Open
Abstract
INTRODUCTION Around 1 in 1000-2000 pregnancies are affected by a cancer diagnosis. Previous studies have shown that chemotherapy during pregnancy has reassuring cognitive and cardiac neonatal outcomes, and hence has been proposed as standard of care. However, although these children perform within normal ranges for their age, subtle differences have been identified. Given that chemotherapeutic compounds can cross the placenta, the possibility that prenatal chemotherapy exposure mutates the offspring's genome and/or epigenome, with potential deleterious effects later in life, urges to be investigated. METHODS AND ANALYSES This multicentric observational study aims to collect cord blood, meconium and neonatal buccal cells at birth, as well as peripheral blood, buccal cells and urine from infants when 6, 18 and/or 36 months of age. Using bulk and single-cell approaches, we will compare samples from chemotherapy-treated pregnant patients with cancer, pregnant patients with cancer not treated with chemotherapy and healthy pregnant women. Potential chemotherapy-related newborn genomic and/or epigenomic alterations, such as single nucleotide variants, copy number variants and DNA-methylation alterations, will be identified in mononuclear and epithelial cells, isolated from blood, buccal swabs and urine. DNA from maternal peripheral blood and paternal buccal cells will be used to determine de novo somatic mutations in the neonatal blood and epithelial cells. Additionally, the accumulated exposure of the fetus, and biological effective dose of alkylating agents, will be assessed in meconium and cord blood via mass spectrometry approaches. ETHICS AND DISSEMINATION The Ethics Committee Research of UZ/KU Leuven (EC Research) and the Medical Ethical Review Committee of University Medical Center Amsterdam have approved the study. Results of this study will be disseminated via presentations at (inter)national conferences, through peer-reviewed, open-access publications, via social media platforms aimed to inform patients and healthcare workers, and through the website of the International Network on Cancer, Infertility and Pregnancy (www.cancerinpregnancy.org).
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Affiliation(s)
- Ilana Struys
- Department of Oncology, KU Leuven, Leuven, Flanders, Belgium
| | | | - Koenraad Devriendt
- Department of Human Genetics, University Hospital Leuven, Leuven, Belgium
| | - Lode Godderis
- Department of Public Health and Primary Care, KU Leuven, Leuven, Flanders, Belgium
- External Service for Prevention and Protection at Work, Heverlee, Belgium
| | - Heidi Segers
- Department of Paediatric Oncology, University Hospital Leuven, Leuven, Belgium
| | | | - Ruben van Boxtel
- Princess Maxima Center for Pediatric Oncology, Utrecht, Netherlands
| | - Kristel Van Calsteren
- Department of Obstetrics and Gynecology, University Hospital Leuven, Leuven, Belgium
| | - Thierry Voet
- Department of Human Genetics, KU Leuven, Leuven, Flanders, Belgium
- Institute for Single Cell Omics (LISCO), KU Leuven, Leuven, Flanders, Belgium
| | - Vera Wolters
- Gynecologic Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | - Frederic Amant
- Department of Oncology, KU Leuven, Leuven, Flanders, Belgium
- Department of Obstetrics and Gynecology, University Hospital Leuven, Leuven, Belgium
- Gynecologic Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
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13
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George J, Maas L, Abedpour N, Cartolano M, Kaiser L, Fischer RN, Scheel AH, Weber JP, Hellmich M, Bosco G, Volz C, Mueller C, Dahmen I, John F, Alves CP, Werr L, Panse JP, Kirschner M, Engel-Riedel W, Jürgens J, Stoelben E, Brockmann M, Grau S, Sebastian M, Stratmann JA, Kern J, Hummel HD, Hegedüs B, Schuler M, Plönes T, Aigner C, Elter T, Toepelt K, Ko YD, Kurz S, Grohé C, Serke M, Höpker K, Hagmeyer L, Doerr F, Hekmath K, Strapatsas J, Kambartel KO, Chakupurakal G, Busch A, Bauernfeind FG, Griesinger F, Luers A, Dirks W, Wiewrodt R, Luecke A, Rodermann E, Diel A, Hagen V, Severin K, Ullrich RT, Reinhardt HC, Quaas A, Bogus M, Courts C, Nürnberg P, Becker K, Achter V, Büttner R, Wolf J, Peifer M, Thomas RK. Evolutionary trajectories of small cell lung cancer under therapy. Nature 2024; 627:880-889. [PMID: 38480884 PMCID: PMC10972747 DOI: 10.1038/s41586-024-07177-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 02/07/2024] [Indexed: 03/18/2024]
Abstract
The evolutionary processes that underlie the marked sensitivity of small cell lung cancer (SCLC) to chemotherapy and rapid relapse are unknown1-3. Here we determined tumour phylogenies at diagnosis and throughout chemotherapy and immunotherapy by multiregion sequencing of 160 tumours from 65 patients. Treatment-naive SCLC exhibited clonal homogeneity at distinct tumour sites, whereas first-line platinum-based chemotherapy led to a burst in genomic intratumour heterogeneity and spatial clonal diversity. We observed branched evolution and a shift to ancestral clones underlying tumour relapse. Effective radio- or immunotherapy induced a re-expansion of founder clones with acquired genomic damage from first-line chemotherapy. Whereas TP53 and RB1 alterations were exclusively part of the common ancestor, MYC family amplifications were frequently not constituents of the founder clone. At relapse, emerging subclonal mutations affected key genes associated with SCLC biology, and tumours harbouring clonal CREBBP/EP300 alterations underwent genome duplications. Gene-damaging TP53 alterations and co-alterations of TP53 missense mutations with TP73, CREBBP/EP300 or FMN2 were significantly associated with shorter disease relapse following chemotherapy. In summary, we uncover key processes of the genomic evolution of SCLC under therapy, identify the common ancestor as the source of clonal diversity at relapse and show central genomic patterns associated with sensitivity and resistance to chemotherapy.
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Affiliation(s)
- Julie George
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
- Department of Otorhinolaryngology, Head and Neck Surgery, Faculty of Medicine and University Hospital Cologne, University Hospital of Cologne, Cologne, Germany.
| | - Lukas Maas
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Nima Abedpour
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
- Cancer Research Centre Cologne Essen, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Maria Cartolano
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Centre for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Laura Kaiser
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Rieke N Fischer
- Department I of Internal Medicine, Lung Cancer Group Cologne, University Hospital Cologne, Cologne, Germany
| | - Andreas H Scheel
- Institute of Pathology, Medical Faculty, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jan-Philipp Weber
- Department I of Internal Medicine, Lung Cancer Group Cologne, University Hospital Cologne, Cologne, Germany
| | - Martin Hellmich
- Institute of Medical Statistics, and Computational Biology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Graziella Bosco
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Caroline Volz
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
- Centre for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Christian Mueller
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Otorhinolaryngology, Head and Neck Surgery, Faculty of Medicine and University Hospital Cologne, University Hospital of Cologne, Cologne, Germany
| | - Ilona Dahmen
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Felix John
- Department I of Internal Medicine, Lung Cancer Group Cologne, University Hospital Cologne, Cologne, Germany
| | - Cleidson Padua Alves
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lisa Werr
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jens Peter Panse
- Department of Haematology, Oncology, Haemostaseology and Stem Cell Transplantation, University Hospital RWTH Aachen, Aachen, Germany
- Centre for Integrated Oncology, Aachen Bonn Cologne Düsseldorf, Aachen, Germany
| | - Martin Kirschner
- Department of Haematology, Oncology, Haemostaseology and Stem Cell Transplantation, University Hospital RWTH Aachen, Aachen, Germany
- Centre for Integrated Oncology, Aachen Bonn Cologne Düsseldorf, Aachen, Germany
| | - Walburga Engel-Riedel
- Department of Pneumology, City of Cologne Municipal Hospitals, Lung Hospital Cologne Merheim, Cologne, Germany
| | - Jessica Jürgens
- Department of Pneumology, City of Cologne Municipal Hospitals, Lung Hospital Cologne Merheim, Cologne, Germany
| | - Erich Stoelben
- Thoraxclinic Cologne, Thoracic Surgery, St. Hildegardis-Krankenhaus, Cologne, Germany
| | - Michael Brockmann
- Department of Pathology, City of Cologne Municipal Hospitals, Witten/Herdecke University, Cologne, Germany
| | - Stefan Grau
- Department of General Neurosurgery, Centre of Neurosurgery, University Hospital Cologne, Cologne, Germany
- University Medicine Marburg - Campus Fulda, Department of Neurosurgery, Fulda, Germany
| | - Martin Sebastian
- Department of Medicine II, Haematology/Oncology, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt, Germany
- DKFZ, German Cancer Research Centre, German Cancer Consortium, Heidelberg, Germany
| | - Jan A Stratmann
- Department of Medicine II, Haematology/Oncology, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt, Germany
| | - Jens Kern
- Klinikum Würzburg Mitte - Missioklinik site, Pneumology and Respiratory Medicine, Würzburg, Germany
| | - Horst-Dieter Hummel
- Translational Oncology/Early Clinical Trial Unit, Comprehensive Cancer Centre Mainfranken, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Balazs Hegedüs
- Department of Thoracic Surgery, University Medicine Essen - Ruhrlandklinik, University Duisburg-Essen, Essen, Germany
| | - Martin Schuler
- DKFZ, German Cancer Research Centre, German Cancer Consortium, Heidelberg, Germany
- Department of Medical Oncology, West German Cancer Centre Essen, University Duisburg-Essen, Essen, Germany
| | - Till Plönes
- Department of Medical Oncology, West German Cancer Centre Essen, University Duisburg-Essen, Essen, Germany
- Division of Thoracic Surgery, Department of General, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Clemens Aigner
- Department of Thoracic Surgery, University Medicine Essen - Ruhrlandklinik, University Duisburg-Essen, Essen, Germany
- Department of Thoracic Surgery, Medical University of Vienna, Vienna General Hospital, Vienna, Austria
| | - Thomas Elter
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
| | - Karin Toepelt
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
| | | | - Sylke Kurz
- Department of Respiratory Diseases, Evangelische Lungenklinik, Berlin, Germany
| | - Christian Grohé
- Department of Respiratory Diseases, Evangelische Lungenklinik, Berlin, Germany
| | - Monika Serke
- DGD Lungenklinik Hemer, Internal Medicine, Pneumology and Oncology, Hemer, Germany
| | - Katja Höpker
- Clinic III for Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lars Hagmeyer
- Clinic of Pneumology and Allergology, Centre for Sleep Medicine and Respiratory Care, Bethanien Hospital Solingen, Solingen, Germany
| | - Fabian Doerr
- Department of Thoracic Surgery, University Medicine Essen - Ruhrlandklinik, University Duisburg-Essen, Essen, Germany
- Department of Cardiothoracic Surgery, University Hospital of Cologne, Cologne, Germany
| | - Khosro Hekmath
- Department of Cardiothoracic Surgery, University Hospital of Cologne, Cologne, Germany
| | - Judith Strapatsas
- Department of Haematology, Oncology and Clinical Immunology, University Hospital of Duesseldorf, Düsseldorf, Germany
| | | | | | - Annette Busch
- Medical Clinic III for Oncology, Haematology, Immune-Oncology and Rheumatology, Centre for Integrative Medicine, University Hospital Bonn, Bonn, Germany
| | - Franz-Georg Bauernfeind
- Medical Clinic III for Oncology, Haematology, Immune-Oncology and Rheumatology, Centre for Integrative Medicine, University Hospital Bonn, Bonn, Germany
| | - Frank Griesinger
- Pius-Hospital Oldenburg, Department of Haematology and Oncology, University Department Internal Medicine-Oncology, University Medicine Oldenburg, Oldenburg, Germany
| | - Anne Luers
- Pius-Hospital Oldenburg, Department of Haematology and Oncology, University Department Internal Medicine-Oncology, University Medicine Oldenburg, Oldenburg, Germany
| | - Wiebke Dirks
- Pius-Hospital Oldenburg, Department of Haematology and Oncology, University Department Internal Medicine-Oncology, University Medicine Oldenburg, Oldenburg, Germany
| | - Rainer Wiewrodt
- Pulmonary Division, Department of Medicine A, Münster University Hospital, Münster, Germany
| | - Andrea Luecke
- Pulmonary Division, Department of Medicine A, Münster University Hospital, Münster, Germany
| | - Ernst Rodermann
- Onkologie Rheinsieg, Praxisnetzwerk Hämatologie und Internistische Onkologie, Troisdorf, Germany
| | - Andreas Diel
- Onkologie Rheinsieg, Praxisnetzwerk Hämatologie und Internistische Onkologie, Troisdorf, Germany
| | - Volker Hagen
- Clinic II for Internal Medicine, St.-Johannes-Hospital Dortmund, Dortmund, Germany
| | - Kai Severin
- Haematologie und Onkologie Köln MV-Zentrum, Cologne, Germany
| | - Roland T Ullrich
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
- Centre for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Hans Christian Reinhardt
- Department of Haematology and Stem Cell Transplantation, University Hospital Essen, Essen, Germany
- West German Cancer Centre, University Hospital Essen, Essen, Germany
| | - Alexander Quaas
- Institute of Pathology, Medical Faculty, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Magdalena Bogus
- Institute of Legal Medicine, University of Cologne, Cologne, Germany
| | - Cornelius Courts
- Institute of Legal Medicine, University of Cologne, Cologne, Germany
| | - Peter Nürnberg
- Cologne Centre for Genomics, West German Genome Centre, University of Cologne, Cologne, Germany
| | - Kerstin Becker
- Cologne Centre for Genomics, West German Genome Centre, University of Cologne, Cologne, Germany
| | - Viktor Achter
- Computing Centre, University of Cologne, Cologne, Germany
| | - Reinhard Büttner
- Institute of Pathology, Medical Faculty, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jürgen Wolf
- Department I of Internal Medicine, Lung Cancer Group Cologne, University Hospital Cologne, Cologne, Germany
| | - Martin Peifer
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
- Centre for Molecular Medicine, University of Cologne, Cologne, Germany.
| | - Roman K Thomas
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
- Institute of Pathology, Medical Faculty, University Hospital Cologne, University of Cologne, Cologne, Germany.
- DKFZ, German Cancer Research Centre, German Cancer Consortium, Heidelberg, Germany.
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14
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Jin H, Gulhan DC, Geiger B, Ben-Isvy D, Geng D, Ljungström V, Park PJ. Accurate and sensitive mutational signature analysis with MuSiCal. Nat Genet 2024; 56:541-552. [PMID: 38361034 PMCID: PMC10937379 DOI: 10.1038/s41588-024-01659-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 01/08/2024] [Indexed: 02/17/2024]
Abstract
Mutational signature analysis is a recent computational approach for interpreting somatic mutations in the genome. Its application to cancer data has enhanced our understanding of mutational forces driving tumorigenesis and demonstrated its potential to inform prognosis and treatment decisions. However, methodological challenges remain for discovering new signatures and assigning proper weights to existing signatures, thereby hindering broader clinical applications. Here we present Mutational Signature Calculator (MuSiCal), a rigorous analytical framework with algorithms that solve major problems in the standard workflow. Our simulation studies demonstrate that MuSiCal outperforms state-of-the-art algorithms for both signature discovery and assignment. By reanalyzing more than 2,700 cancer genomes, we provide an improved catalog of signatures and their assignments, discover nine indel signatures absent in the current catalog, resolve long-standing issues with the ambiguous 'flat' signatures and give insights into signatures with unknown etiologies. We expect MuSiCal and the improved catalog to be a step towards establishing best practices for mutational signature analysis.
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Affiliation(s)
- Hu Jin
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Doga C Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Benedikt Geiger
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Daniel Ben-Isvy
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - David Geng
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Viktor Ljungström
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
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15
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LoPiccolo J, Gusev A, Christiani DC, Jänne PA. Lung cancer in patients who have never smoked - an emerging disease. Nat Rev Clin Oncol 2024; 21:121-146. [PMID: 38195910 PMCID: PMC11014425 DOI: 10.1038/s41571-023-00844-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/28/2023] [Indexed: 01/11/2024]
Abstract
Lung cancer is the most common cause of cancer-related deaths globally. Although smoking-related lung cancers continue to account for the majority of diagnoses, smoking rates have been decreasing for several decades. Lung cancer in individuals who have never smoked (LCINS) is estimated to be the fifth most common cause of cancer-related deaths worldwide in 2023, preferentially occurring in women and Asian populations. As smoking rates continue to decline, understanding the aetiology and features of this disease, which necessitate unique diagnostic and treatment paradigms, will be imperative. New data have provided important insights into the molecular and genomic characteristics of LCINS, which are distinct from those of smoking-associated lung cancers and directly affect treatment decisions and outcomes. Herein, we review the emerging data regarding the aetiology and features of LCINS, particularly the genetic and environmental underpinnings of this disease as well as their implications for treatment. In addition, we outline the unique diagnostic and therapeutic paradigms of LCINS and discuss future directions in identifying individuals at high risk of this disease for potential screening efforts.
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Affiliation(s)
- Jaclyn LoPiccolo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- The Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
| | - Alexander Gusev
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- The Eli and Edythe L. Broad Institute, Cambridge, MA, USA
| | - David C Christiani
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Massachusetts General Hospital, Boston, MA, USA
| | - Pasi A Jänne
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- The Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
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16
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Zhang B, He L, Zhou C, Cheng X, Li Q, Tang Y, Li F, Huang T, Tu S. A pancancer analysis of the clinical and genomic characteristics of multiple primary cancers. Sci Rep 2024; 14:2367. [PMID: 38287125 PMCID: PMC10825147 DOI: 10.1038/s41598-024-52659-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 01/22/2024] [Indexed: 01/31/2024] Open
Abstract
Multiple primary cancer (MPC) denotes individuals with two or more malignant tumors occurring simultaneously or successively. Herein, a total of 11,000 pancancer patients in TCGA database (1993-2013) were divided into MPC or non-MPC groups based on their history of other malignant tumors. The incidence of MPC has risen to 8.5-13.1% since 2000. Elderly individuals, males, early-stage cancer patients, and African Americans and Caucasians are identified as independent risk factors (p < 0.0001). Non-MPC patients exhibit significantly longer overall survival (OS) and disease-free survival (DFS) (p = 0.0038 and p = 0.0014). Age (p < 0.001) and tumor staging at initial diagnosis (p < 0.001) contribute to this difference. In our center, MPC was identified in 380 out of 801 tumor events based on SEER criteria. The peak occurrence of secondary primary was about 1-5 years after the first primary tumor, with a second small peak around 10-15 years. Multiple tumors commonly occur in the same organ (e.g., breast and lung), constituting 12.6%. Certain cancer types, notably skin cutaneous melanoma (SKCM), exhibit significantly higher tumor mutational burden (TMB) in the MPC group (17.31 vs. 6.55 mutations/MB, p < 0.001), with high TMB associated with improved survival (p < 0.001). High TMB in MPC may serve as a predictor for potential immunotherapy application.
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Affiliation(s)
- Baiwen Zhang
- Department of Oncology, State Key Laboratory of Systems Medicine for Cancer, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lina He
- Department of Oncology, State Key Laboratory of Systems Medicine for Cancer, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Cong Zhou
- Department of Oncology, State Key Laboratory of Systems Medicine for Cancer, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaojiao Cheng
- Department of Oncology, State Key Laboratory of Systems Medicine for Cancer, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qingli Li
- Department of Oncology, State Key Laboratory of Systems Medicine for Cancer, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yao Tang
- Department of Oncology, State Key Laboratory of Systems Medicine for Cancer, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fuli Li
- Department of Oncology, State Key Laboratory of Systems Medicine for Cancer, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tinglei Huang
- Department of Oncology, State Key Laboratory of Systems Medicine for Cancer, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuiping Tu
- Department of Oncology, State Key Laboratory of Systems Medicine for Cancer, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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17
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Ge A, Zhang T, Martins YC, Landi MT, Park B, Chen K, Balasubramanian J, Almeida JS. mSigSDK - private, at scale, computation of mutation signatures. ARXIV 2024:arXiv:2308.02995v2. [PMID: 38327678 PMCID: PMC10849669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
In our previous work, we demonstrated that it is feasible to perform analysis on mutation signature data without the need for downloads or installations and analyze individual patient data at scale without compromising privacy. Building on this foundation, we developed an in-browser Software Development Kit (a JavaScript SDK), mSigSDK, to facilitate the orchestration of distributed data processing workflows and graphic visualization of mutational signature analysis results. We strictly adhered to modern web computing standards, particularly the modularization standards set by the ECMAScript ES6 framework (JavaScript modules). Our approach allows for the computation to be entirely performed by secure delegation to the computational resources of the user's own machine (in-browser), without any downloads or installations. The mSigSDK was developed primarily as a companion library to the mSig Portal resource of the National Cancer Institute Division of Cancer Epidemiology and Genetics (NIH/NCI/DCEG), with a focus on FAIR extensibility as components of other researchers' own data science constructs. Anticipated extensions include the programmatic operation of other mutation signature API ecosystems such as SIGNAL and COSMIC, advancing towards a data commons for mutational signature research (Grossman et al., 2016).
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18
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Arnedo-Pac C, Muiños F, Gonzalez-Perez A, Lopez-Bigas N. Hotspot propensity across mutational processes. Mol Syst Biol 2024; 20:6-27. [PMID: 38177930 PMCID: PMC10883281 DOI: 10.1038/s44320-023-00001-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 10/30/2023] [Accepted: 11/09/2023] [Indexed: 01/06/2024] Open
Abstract
The sparsity of mutations observed across tumours hinders our ability to study mutation rate variability at nucleotide resolution. To circumvent this, here we investigated the propensity of mutational processes to form mutational hotspots as a readout of their mutation rate variability at single base resolution. Mutational signatures 1 and 17 have the highest hotspot propensity (5-78 times higher than other processes). After accounting for trinucleotide mutational probabilities, sequence composition and mutational heterogeneity at 10 Kbp, most (94-95%) signature 17 hotspots remain unexplained, suggesting a significant role of local genomic features. For signature 1, the inclusion of genome-wide distribution of methylated CpG sites into models can explain most (80-100%) of the hotspot propensity. There is an increased hotspot propensity of signature 1 in normal tissues and de novo germline mutations. We demonstrate that hotspot propensity is a useful readout to assess the accuracy of mutation rate models at nucleotide resolution. This new approach and the findings derived from it open up new avenues for a range of somatic and germline studies investigating and modelling mutagenesis.
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Affiliation(s)
- Claudia Arnedo-Pac
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Ferran Muiños
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Abel Gonzalez-Perez
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.
- Centro de Investigación Biomédica en Red en Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.
| | - Nuria Lopez-Bigas
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.
- Centro de Investigación Biomédica en Red en Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
- Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra (UPF), Barcelona, Spain.
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Ziccheddu B, Giannotta C, D'Agostino M, Bertuglia G, Saraci E, Oliva S, Genuardi E, Papadimitriou M, Diamond B, Corradini P, Coffey D, Landgren O, Bolli N, Bruno B, Boccadoro M, Massaia M, Maura F, Larocca A. Genomic and immune determinants of resistance to anti-CD38 monoclonal antibody-based therapy in relapsed refractory multiple myeloma. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.04.23299287. [PMID: 38106151 PMCID: PMC10723485 DOI: 10.1101/2023.12.04.23299287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Anti-CD38 antibody therapies have transformed multiple myeloma (MM) treatment. However, a large fraction of patients inevitably relapses. To understand this, we investigated 32 relapsed MM patients treated with daratumumab, lenalidomide, and dexamethasone (Dara-Rd; NCT03848676 ). Whole genome sequencing (WGS) before and after treatment pinpointed genomic drivers associated with early progression, including RPL5 loss and APOBEC mutagenesis. Flow cytometry on 202 blood samples, collected every three months until progression for 31 patients, revealed distinct immune changes significantly impacting clinical outcomes. Progressing patients exhibited significant depletion of CD38+ NK cells, persistence of T cell exhaustion, and reduced depletion of T-reg cells over time. These findings underscore the influence of immune composition and daratumumab-induced immune changes in promoting MM resistance. Integrating genomics and flow cytometry unveiled associations between adverse genomic features and immune patterns. Overall, this study sheds light on the intricate interplay between genomic complexity and the immune microenvironment driving resistance to Dara-Rd.
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20
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Valdes Angues R, Perea Bustos Y. SARS-CoV-2 Vaccination and the Multi-Hit Hypothesis of Oncogenesis. Cureus 2023; 15:e50703. [PMID: 38234925 PMCID: PMC10792266 DOI: 10.7759/cureus.50703] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/16/2023] [Indexed: 01/19/2024] Open
Abstract
Cancer is a complex and dynamic disease. The "hallmarks of cancer" were proposed by Hanahan and Weinberg (2000) as a group of biological competencies that human cells attain as they progress from normalcy to neoplastic transformation. These competencies include self-sufficiency in proliferative signaling, insensitivity to growth-suppressive signals and immune surveillance, the ability to evade cell death, enabling replicative immortality, reprogramming energy metabolism, inducing angiogenesis, and activating tissue invasion and metastasis. Underlying these competencies are genome instability, which expedites their acquisition, and inflammation, which fosters their function(s). Additionally, cancer exhibits another dimension of complexity: a heterogeneous repertoire of infiltrating and resident host cells, secreted factors, and extracellular matrix, known as the tumor microenvironment, that through a dynamic and reciprocal relationship with cancer cells supports immortality, local invasion, and metastatic dissemination. This staggering intricacy calls for caution when advising all people with cancer (or a previous history of cancer) to receive the COVID-19 primary vaccine series plus additional booster doses. Moreover, because these patients were not included in the pivotal clinical trials, considerable uncertainty remains regarding vaccine efficacy, safety, and the risk of interactions with anticancer therapies, which could reduce the value and innocuity of either medical treatment. After reviewing the available literature, we are particularly concerned that certain COVID-19 vaccines may generate a pro-tumorigenic milieu (i.e., a specific environment that could lead to neoplastic transformation) that predisposes some (stable) oncologic patients and survivors to cancer progression, recurrence, and/or metastasis. This hypothesis is based on biological plausibility and fulfillment of the multi-hit hypothesis of oncogenesis (i.e., induction of lymphopenia and inflammation, downregulation of angiotensin-converting enzyme 2 (ACE2) expression, activation of oncogenic cascades, sequestration of tumor suppressor proteins, dysregulation of the RNA-G quadruplex-protein binding system, alteration of type I interferon responses, unsilencing of retrotransposable elements, etc.) together with growing evidence and safety reports filed to Vaccine Adverse Effects Report System (VAERS) suggesting that some cancer patients experienced disease exacerbation or recurrence following COVID-19 vaccination. In light of the above and because some of these concerns (i.e., alteration of oncogenic pathways, promotion of inflammatory cascades, and dysregulation of the renin-angiotensin system) also apply to cancer patients infected with SARS-CoV-2, we encourage the scientific and medical community to urgently evaluate the impact of both COVID-19 and COVID-19 vaccination on cancer biology and tumor registries, adjusting public health recommendations accordingly.
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Affiliation(s)
- Raquel Valdes Angues
- Neurology, Oregon Health and Science University School of Medicine, Portland, USA
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21
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Gao Y, Zhang Y, Liu W, Zhang N, Gao Q, Shangguan J, Li N, Zhao Y, Jia Y. Danggui Buxue decoction alleviates cyclophosphamide-induced myelosuppression by regulating β-hydroxybutyric acid metabolism and suppressing oxidative stress. PHARMACEUTICAL BIOLOGY 2023; 61:710-721. [PMID: 37096658 PMCID: PMC10132245 DOI: 10.1080/13880209.2023.2201606] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
CONTEXT Danggui Buxue Decoction (DBD) is an effective complementary medicine in alleviating myelosuppression after chemotherapy (MAC). However, its mechanism of action is elusive. OBJECTIVE To illustrate that regulating β-hydroxybutyric acid (β-OHB) metabolism and suppressing oxidative stress could be a potential mechanism of action for DBD in alleviating MAC. MATERIALS AND METHODS After HPLC quantification and dose testing (3, 6 and 10 g/kg, gavage) of DBD, Sprague-Dawley rats were divided into control, cyclophosphamide (CTX) (30 mg/kg CTX for 5 days, intraperitoneal administration) and CTX + DBD groups (6 g/kg DBD for 14 days, gavage). Blood cell counts, thigh bone histological examination, β-OHB levels, oxidative stress indices and HDAC1 activity were tested. The biological function of β-OHB was verified in vitro (hBMSC cells were incubated in culture mediums that contained 40 μM CTX and β-OHB in 0, 1, 2.5, 5, 10 mM) and in vivo (MAC rat model, 3 g/kg β-OHB for 14 days, gavage). RESULTS Rats in the CTX + DBD group showed upregulated blood cell counts (118-243%), β-OHB levels (495 nmol/mL in blood, 122 nmol/mg in marrow supernatant) and downregulated HDAC1 activity (59%), and oxidative stress indices (60-85%). In vitro, 5 mM β-OHB improved hBMSC cell migration (123%) and proliferation (131%). In vivo, rats treated with 3 g/kg β-OHB showed upregulated blood cell counts (121-182%) and downregulated HDAC1 activity (64%) and oxidative stress indices (65-83%). DISCUSSION AND CONCLUSIONS DBD, a traditional Chinese medicine, alleviates MAC by intervening in β-OHB metabolism and oxidative stress.
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Affiliation(s)
- Yiqiao Gao
- School of Pharmacy, Xinxiang Medical University, Xinxiang, P. R. China
- Xinxiang Key Laboratory of Clinical Psychopharmacology, Xinxiang Medical University, Xinxiang, P. R. China
- CONTACT Yiqiao Gao
| | - Yixin Zhang
- School of Pharmacy, Xinxiang Medical University, Xinxiang, P. R. China
- Xinxiang Key Laboratory of Clinical Psychopharmacology, Xinxiang Medical University, Xinxiang, P. R. China
| | - Wei Liu
- School of Pharmacy, Xinxiang Medical University, Xinxiang, P. R. China
| | - Nan Zhang
- School of Pharmacy, Xinxiang Medical University, Xinxiang, P. R. China
| | - Qinghe Gao
- School of Pharmacy, Xinxiang Medical University, Xinxiang, P. R. China
| | | | - Na Li
- School of Pharmacy, Xinxiang Medical University, Xinxiang, P. R. China
- Xinxiang Key Laboratory of Clinical Psychopharmacology, Xinxiang Medical University, Xinxiang, P. R. China
| | - Ying Zhao
- School of Pharmacy, Xinxiang Medical University, Xinxiang, P. R. China
- Xinxiang Key Laboratory of Clinical Psychopharmacology, Xinxiang Medical University, Xinxiang, P. R. China
| | - Yanlong Jia
- School of Pharmacy, Xinxiang Medical University, Xinxiang, P. R. China
- Yanlong Jia School of Pharmacy, Xinxiang Medical University, Xinxiang, Henan453003, P. R. China
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22
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Yao S, Han Y, Yang M, Jin K, Lan H. Integration of liquid biopsy and immunotherapy: opening a new era in colorectal cancer treatment. Front Immunol 2023; 14:1292861. [PMID: 38077354 PMCID: PMC10702507 DOI: 10.3389/fimmu.2023.1292861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 11/03/2023] [Indexed: 12/18/2023] Open
Abstract
Immunotherapy has revolutionized the conventional treatment approaches for colorectal cancer (CRC), offering new therapeutic prospects for patients. Liquid biopsy has shown significant potential in early screening, diagnosis, and postoperative monitoring by analyzing circulating tumor cells (CTC) and circulating tumor DNA (ctDNA). In the era of immunotherapy, liquid biopsy provides additional possibilities for guiding immune-based treatments. Emerging technologies such as mass spectrometry-based detection of neoantigens and flow cytometry-based T cell sorting offer new tools for liquid biopsy, aiming to optimize immune therapy strategies. The integration of liquid biopsy with immunotherapy holds promise for improving treatment outcomes in colorectal cancer patients, enabling breakthroughs in early diagnosis and treatment, and providing patients with more personalized, precise, and effective treatment strategies.
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Affiliation(s)
- Shiya Yao
- Department of Colorectal Surgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, Zhejiang, China
| | - Yuejun Han
- Department of Colorectal Surgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, Zhejiang, China
| | - Mengxiang Yang
- Department of Colorectal Surgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, Zhejiang, China
| | - Ketao Jin
- Department of Colorectal Surgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, Zhejiang, China
| | - Huanrong Lan
- Department of Surgical Oncology, Hangzhou Cancer Hospital, Hangzhou, Zhejiang, China
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23
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Yang Y, Feng T, Fan X, Wang C, Jiang Y, Zhou X, Bao W, Zhang D, Wang S, Yu J, Tao Y, Song G, Bao H, Yan J, Wu X, Shao Y, Qiu G, Su D, Chen Q. Genomic and Transcriptomic Remodeling by Neoadjuvant Chemoradiotherapy (nCRT) and the Indicative Role of Acquired INDEL Percentage for nCRT Efficacy in Esophageal Squamous Cell Carcinoma. Int J Radiat Oncol Biol Phys 2023; 117:979-993. [PMID: 37339686 DOI: 10.1016/j.ijrobp.2023.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 05/30/2023] [Accepted: 06/11/2023] [Indexed: 06/22/2023]
Abstract
PURPOSE The effect of genomic factors on the response of patients with esophageal squamous cell carcinoma (ESCC) to neoadjuvant chemoradiotherapy (nCRT), as well as how nCRT influences the genome and transcriptome of ESCC, remain largely unknown. METHODS AND MATERIALS In total, 137 samples from 57 patients with ESCC undergoing nCRT were collected and subjected to whole-exome sequencing and RNA sequencing analysis. Genetic and clinicopathologic factors were compared between the patients achieving pathologic complete response and patients not achieving pathologic complete response. Genomic and transcriptomic profiles before and after nCRT were analyzed. RESULTS Codeficiency of the DNA damage repair and HIPPO pathways synergistically sensitized ESCC to nCRT. nCRT induced small INDELs and focal chromosomal loss concurrently. Acquired INDEL% exhibited a decreasing trend with the increase of tumor regression grade (P = .06, Jonckheere's test). Multivariable Cox analysis indicated that higher acquired INDEL% was associated with better survival (adjusted hazard ratio [aHR], 0.93; 95% CI, 0.86-1.01; P = .067 for recurrence-free survival [RFS]; aHR, 0.86; 95% CI, 0.76-0.98; P = .028 for overall survival [OS], with 1% of acquired INDEL% as unit). The prognostic value of acquired INDEL% was confirmed by the Glioma Longitudinal AnalySiS data set (aHR, 0.95; 95% CI, 0.902-0.997; P = .037 for RFS; aHR, 0.96; 95% CI, 0.917-1.004; P = .076 for OS). Additionally, clonal expansion degree was negatively associated with patient survival (aHR, 5.87; 95% CI, 1.10-31.39; P = .038 for RFS; aHR, 9.09; 95% CI, 1.10-75.36; P = .041 for OS, with low clonal expression group as reference) and also negatively correlated with acquired INDEL% (Spearman ρ = -0.45; P = .02). The expression profile was changed after nCRT. The DNA replication gene set was downregulated, while the cell adhesion gene set was upregulated after nCRT. Acquired INDEL% was negatively correlated with the enrichment of the DNA replication gene set (Spearman ρ = -0.56; P = .003) but was positively correlated with the enrichment of the cell adhesion gene set (Spearman ρ = 0.40; P = .05) in posttreatment samples. CONCLUSIONS nCRT remodels the genome and transcriptome of ESCC. Acquired INDEL% is a potential biomarker to indicate the effectiveness of nCRT and radiation sensitivity.
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Affiliation(s)
- Yang Yang
- Department of Thoracic Radiotherapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, China
| | - TingTing Feng
- Department of Pathology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Xiaojun Fan
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Changchun Wang
- Department of Thoracic Surgery, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Youhua Jiang
- Department of Thoracic Surgery, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Xia Zhou
- Department of Thoracic Radiotherapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, China
| | - Wu'an Bao
- Department of Thoracic Radiotherapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, China
| | - Danhong Zhang
- Department of Thoracic Radiotherapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, China
| | - Shi Wang
- Endoscopy Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Jiangping Yu
- Endoscopy Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Yali Tao
- Endoscopy Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Ge Song
- Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Hua Bao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Junrong Yan
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Xue Wu
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Yang Shao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Guoqin Qiu
- Department of Thoracic Radiotherapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, China.
| | - Dan Su
- Department of Pathology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
| | - Qixun Chen
- Department of Thoracic Surgery, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
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Adler N, Bahcheli AT, Cheng KC, Al-Zahrani KN, Slobodyanyuk M, Pellegrina D, Schramek D, Reimand J. Mutational processes of tobacco smoking and APOBEC activity generate protein-truncating mutations in cancer genomes. SCIENCE ADVANCES 2023; 9:eadh3083. [PMID: 37922356 PMCID: PMC10624356 DOI: 10.1126/sciadv.adh3083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 10/04/2023] [Indexed: 11/05/2023]
Abstract
Mutational signatures represent a genomic footprint of endogenous and exogenous mutational processes through tumor evolution. However, their functional impact on the proteome remains incompletely understood. We analyzed the protein-coding impact of single-base substitution (SBS) signatures in 12,341 cancer genomes from 18 cancer types. Stop-gain mutations (SGMs) (i.e., nonsense mutations) were strongly enriched in SBS signatures of tobacco smoking, APOBEC cytidine deaminases, and reactive oxygen species. These mutational processes alter specific trinucleotide contexts and thereby substitute serines and glutamic acids with stop codons. SGMs frequently affect cancer hallmark pathways and tumor suppressors such as TP53, FAT1, and APC. Tobacco-driven SGMs in lung cancer correlate with smoking history and highlight a preventable determinant of these harmful mutations. APOBEC-driven SGMs are enriched in YTCA motifs and associate with APOBEC3A expression. Our study exposes SGM expansion as a genetic mechanism by which endogenous and carcinogenic mutational processes directly contribute to protein loss of function, oncogenesis, and tumor heterogeneity.
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Affiliation(s)
- Nina Adler
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Alexander T. Bahcheli
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Kevin C. L. Cheng
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | | | - Mykhaylo Slobodyanyuk
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Diogo Pellegrina
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Daniel Schramek
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Toronto, ON, Canada
| | - Jüri Reimand
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
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25
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Li J, Stenberg S, Yue JX, Mikhalev E, Thompson D, Warringer J, Liti G. Genome instability footprint under rapamycin and hydroxyurea treatments. PLoS Genet 2023; 19:e1011012. [PMID: 37931001 PMCID: PMC10653606 DOI: 10.1371/journal.pgen.1011012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/16/2023] [Accepted: 10/10/2023] [Indexed: 11/08/2023] Open
Abstract
The mutational processes dictating the accumulation of mutations in genomes are shaped by genetic background, environment and their interactions. Accurate quantification of mutation rates and spectra under drugs has important implications in disease treatment. Here, we used whole-genome sequencing and time-resolved growth phenotyping of yeast mutation accumulation lines to give a detailed view of the mutagenic effects of rapamycin and hydroxyurea on the genome and cell growth. Mutation rates depended on the genetic backgrounds but were only marginally affected by rapamycin. As a remarkable exception, rapamycin treatment was associated with frequent chromosome XII amplifications, which compensated for rapamycin induced rDNA repeat contraction on this chromosome and served to maintain rDNA content homeostasis and fitness. In hydroxyurea, a wide range of mutation rates were elevated regardless of the genetic backgrounds, with a particularly high occurrence of aneuploidy that associated with dramatic fitness loss. Hydroxyurea also induced a high T-to-G and low C-to-A transversion rate that reversed the common G/C-to-A/T bias in yeast and gave rise to a broad range of structural variants, including mtDNA deletions. The hydroxyurea mutation footprint was consistent with the activation of error-prone DNA polymerase activities and non-homologues end joining repair pathways. Taken together, our study provides an in-depth view of mutation rates and signatures in rapamycin and hydroxyurea and their impact on cell fitness, which brings insights for assessing their chronic effects on genome integrity.
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Affiliation(s)
- Jing Li
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
- Université Côte d’Azur, CNRS, INSERM, IRCAN, Nice, France
| | - Simon Stenberg
- Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden
| | - Jia-Xing Yue
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
- Université Côte d’Azur, CNRS, INSERM, IRCAN, Nice, France
| | | | - Dawn Thompson
- Ginkgo Bioworks, Boston, Massachusetts, United States of America
| | - Jonas Warringer
- Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden
| | - Gianni Liti
- Université Côte d’Azur, CNRS, INSERM, IRCAN, Nice, France
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26
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Wu M, Zhou S. Harnessing tumor immunogenomics: Tumor neoantigens in ovarian cancer and beyond. Biochim Biophys Acta Rev Cancer 2023; 1878:189017. [PMID: 37935309 DOI: 10.1016/j.bbcan.2023.189017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/09/2023]
Abstract
Ovarian cancer is a major cause of death among gynecological cancers due to its highly aggressive nature. Immunotherapy has emerged as a promising avenue for ovarian cancer treatment, offering targeted approaches with reduced off-target effects. With the advent of next-generation sequencing, it has become possible to identify genomic alterations that can serve as potential targets for immunotherapy. Furthermore, immunogenomics research has revealed the importance of genetic alterations in shaping the cancer immune responses. However, the heterogeneity of immunogenicity and the low tumor mutation burden pose challenges for neoantigen-based immunotherapies. Further research is needed to identify neoantigen-specific tumor-infiltrating lymphocytes (TIL) and establish guidelines for patient inclusion criteria in TIL-based therapy. The study of neoantigens and their implications in ovarian cancer immunotherapy holds great promise, and efforts focused on personalized treatment strategies, refined neoantigen selection, and optimized therapeutic combinations will contribute to improving patient outcomes in the future.
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Affiliation(s)
- Mengrui Wu
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, PR China
| | - Shengtao Zhou
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, PR China.
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27
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Jeong H, Moon HE, Yun S, Cho SW, Park HR, Park SH, Myung K, Kwon T, Paek SH. Enrichment of Deleterious Mutated Genes Involved in Ciliary Function and Histone Modification in Brain Cancer Patient-Derived Xenograft Models. Biomedicines 2023; 11:2934. [PMID: 38001935 PMCID: PMC10669283 DOI: 10.3390/biomedicines11112934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 10/03/2023] [Accepted: 10/24/2023] [Indexed: 11/26/2023] Open
Abstract
Patient-derived xenograft (PDX) models, which can retain the characteristics of original tumors in an in vivo-mimicking environment, have been developed to identify better treatment options. However, although original tumors and xenograft tissues mostly share oncogenic mutations and global gene expression patterns, their detailed mutation profiles occasionally do not overlap, indicating that selection occurs in the xenograft environment. To understand this mutational alteration in xenografts, we established 13 PDX models derived from 11 brain tumor patients and confirmed their histopathological similarity. Surprisingly, only a limited number of somatic mutations were shared between the original tumor and xenograft tissue. By analyzing deleteriously mutated genes in tumors and xenografts, we found that previously reported brain tumor-related genes were enriched in PDX samples, demonstrating that xenografts are a valuable platform for studying brain tumors. Furthermore, mutated genes involved in cilium movement, microtubule depolymerization, and histone methylation were enriched in PDX samples compared with the original tumors. Even with the limitations of the heterogeneity of clinical lesions with a heterotropic model, our study demonstrates that PDX models can provide more information in genetic analysis using samples with high heterogeneity, such as brain tumors.
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Affiliation(s)
- Hyeongsun Jeong
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Center for Genomic Integrity (CGI), Institute for Basic Science (IBS), Ulsan 44919, Republic of Korea
| | - Hyo Eun Moon
- Department of Neurosurgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
- Department of Neurosurgery, Hypoxia/Ischemia Disease Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Seongmin Yun
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
| | - Seung Woo Cho
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Center for Genomic Integrity (CGI), Institute for Basic Science (IBS), Ulsan 44919, Republic of Korea
| | - Hye Ran Park
- Department of Neurosurgery, Soonchunhyang University Seoul Hospital, Seoul 04401, Republic of Korea
| | - Sung-Hye Park
- Department of Pathology, Neuroscience Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Kyungjae Myung
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Center for Genomic Integrity (CGI), Institute for Basic Science (IBS), Ulsan 44919, Republic of Korea
| | - Taejoon Kwon
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Center for Genomic Integrity (CGI), Institute for Basic Science (IBS), Ulsan 44919, Republic of Korea
| | - Sun Ha Paek
- Department of Neurosurgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
- Department of Neurosurgery, Hypoxia/Ischemia Disease Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
- Advanced Institute of Convergence Technology, Seoul National University, Suwon 16229, Republic of Korea
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28
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Chen G, Li X, Li R, Wu K, Lei Z, Dai R, Roche K, Wang AZ, Min Y. Chemotherapy-Induced Neoantigen Nanovaccines Enhance Checkpoint Blockade Cancer Immunotherapy. ACS NANO 2023; 17:18818-18831. [PMID: 37750443 DOI: 10.1021/acsnano.3c03274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Chemotherapeutics have the potential to increase the efficacy of cancer immunotherapies by stimulating the production of damage-associated molecular patterns (DAMPs) and eliciting mutations that result in the production of neoantigens, thereby increasing the immunogenicity of cancerous lesions. However, the dose-limiting toxicity and limited immunogenicity of chemotherapeutics are not sufficient to induce a robust antitumor response. We hypothesized that cancer cells in vitro treated with ultrahigh doses of various chemotherapeutics artificially increased the abundance, variety, and specificity of DAMPs and neoantigens, thereby improving chemoimmunotherapy. The in vitro chemotherapy-induced (IVCI) nanovaccines manufactured from cell lysates comprised multiple neoantigens and DAMPs, thereby exhibiting comprehensive antigenicity and adjuvanticity. Our IVCI nanovaccines exhibited enhanced immune responses in CT26 tumor-bearing mice, with a significant increase in CD4+/CD8+ T cells in tumors in combination with immune checkpoint inhibitors. The concept of IVCI nanovaccines provides an idea for manufacturing and artificial enhancement of immunogenicity vaccines to improve chemoimmunotherapy.
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Affiliation(s)
- Guiyuan Chen
- Department of Chemistry, University of Science and Technology of China, Hefei 230026, China
| | - Xiangxia Li
- Department of Chemistry, University of Science and Technology of China, Hefei 230026, China
| | - Rui Li
- Department of Chemistry, University of Science and Technology of China, Hefei 230026, China
| | - Kecheng Wu
- Department of Chemistry, University of Science and Technology of China, Hefei 230026, China
| | - Zhouhang Lei
- Department of Chemistry, University of Science and Technology of China, Hefei 230026, China
| | - Ruike Dai
- Department of Chemistry, University of Science and Technology of China, Hefei 230026, China
| | - Kyle Roche
- School of Medicine and Health Sciences, The George Washington University, Washington D.C. 20052, United States
| | - Andrew Z Wang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas 75390, United States
| | - Yuanzeng Min
- Department of Chemistry, University of Science and Technology of China, Hefei 230026, China
- Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230026, China
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
- CAS Key Lab of Soft Matter Chemistry, University of Science and Technology of China, Hefei 230026, China
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Li R, Hao Y, Roche K, Chen G, Pan W, Wang AZ, Min Y. Chemotherapy-induced nanovaccines implement immunogenicity equivalence for improving cancer chemoimmunotherapy. Biomaterials 2023; 301:122290. [PMID: 37643488 DOI: 10.1016/j.biomaterials.2023.122290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/28/2023] [Accepted: 08/19/2023] [Indexed: 08/31/2023]
Abstract
Several chemoimmunotherapies have been approved by the FDA for the treatment of various cancers. Chemotherapy has the potential to improve the efficacy of immunotherapy by inducing immunogenic cell death (ICD) of tumor cells, promoting the release of tumor associated antigens (TAAs), tumor specific antigens (TSAs) and damage associated molecular patterns (DAMPs), and disrupting immunosuppressive microenvironments by tumor debulking. Unfortunately, systemic administration of chemotherapeutics carries side effects of blunting anti-cancer immune response through systemic immunosuppression, which deserves to be explored as an inner contradiction in chemoimmunotherapy. Here, we proposed the hypothesis of "immunogenicity equivalence" in chemoimmunotherapy that chemotherapeutics-induced immunogenic antigens and DAMPs in vitro that can subsequently be incorporated into nanovaccines, which will possess comparable immunostimulatory potential when compared to tumors treated with systemic chemotherapy in vivo. The proteomic analysis confirmed that our nanovaccines contained TAAs, TSAs and DAMPs. Improvement in treatment outcomes in tumor-bearing mice receiving anti-PD-1 and chemotherapy-induced nanovaccines was then observed. Furthermore, we demonstrated the feasibility of replacing long-term chemotherapy with nanovaccines in chemoimmunotherapy. Our nanovaccine strategy would be a general choice for formulating cancer vaccines in personalized medicine.
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Affiliation(s)
- Rui Li
- Department of Chemistry, University of Science and Technology of China, Hefei, 230026, China
| | - Yuhao Hao
- Department of Chemistry, University of Science and Technology of China, Hefei, 230026, China
| | - Kyle Roche
- School of Medicine and Health Sciences, The George Washington University, Washington, DC 20052, USA
| | - Guiyuan Chen
- Department of Chemistry, University of Science and Technology of China, Hefei, 230026, China
| | - Wen Pan
- Department of Chemistry, University of Science and Technology of China, Hefei, 230026, China
| | - Andrew Z Wang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Yuanzeng Min
- Department of Chemistry, University of Science and Technology of China, Hefei, 230026, China; Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, Anhui Provincial Hospital, University of Science and Technology of China, Hefei, 230026, China; CAS Key Lab of Soft Matter Chemistry, University of Science and Technology of China, Hefei, 230026, China.
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30
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Bi Y, Xia C, Zhang X, Liu H. Targeted treatments after chemoradiotherapy failure in a patient with relapsed, advanced non‑small cell lung cancer with on‑therapy circulating tumor biomarker monitoring: A case report. Oncol Lett 2023; 26:407. [PMID: 37600327 PMCID: PMC10436159 DOI: 10.3892/ol.2023.13993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/30/2023] [Indexed: 08/22/2023] Open
Abstract
Ongoing investigations of targeted therapeutic agents and their increased clinical applications, together with research in genomics and proteomics, have explored a variety of novel approaches for treatment of lung cancer, and 'molecular subtypes' have been defined based on specific actionable genetic aberrations. Liquid biopsies, including circulating tumor DNA (ctDNA) testing, are of value for cancer diagnosis and comprehensive genomic profiling, such as the identification of cancer subtypes and major genetic alterations in cancer cells. The case of a 66-year-old male patient with newly-diagnosed driver mutation-negative advanced non-small cell lung cancer (NSCLC) who underwent conventional therapy is described in the present report. The patient underwent regular monitoring, including continuous ctDNA analysis, imaging and assessment of tumor marker levels such as carcinoembryonic antigen (CEA). The patient initially presented with deep vein thrombosis which affected both lower extremities and without any symptoms in the lung, with a positron emission tomography scan identifying irregular pulmonary nodules in the right lower lobe and enlarged right supraclavicular lymph nodes. Subsequent ultrasound-guided fine-needle aspiration with nodule biopsy indicated advanced unresectable disease at stage IIIB based on the Tumor-Node-Metastasis staging system by the American Joint Committee on Cancer. Next-generation sequencing of tumor tissue and peripheral blood confirmed driver mutation-negative genes, including epidermal growth factor receptor, rat sarcoma, ALK receptor tyrosine kinase, ROS1 proto-oncogene receptor tyrosine kinase and rearrangement during transfection (RET). After 5 years of chemoradiotherapy and surveillance of ctDNA and CEA levels, detectable kinesin family member 5B (KIF5B)-RET fusion in ctDNA and rising CEA levels prompted early scans, which identified disease progression. The patient subsequently received the oral RET inhibitor pralsetinib, with treatment being currently ongoing for ≥17 months without detectable KIF5B-RET ctDNA or elevated CEA levels, with an ongoing minor response and stable disease based on Response Evaluation Criteria in Solid Tumors v1.1 on imaging. The present case illustrates the potential role of on-therapy circulating tumor biomarker monitoring as a non-traumatic method to evaluate therapy response and detect early disease progression in patients with advanced NSCLC. Integration of circulating tumor biomarker testing into the management of patients with advanced NSCLC requires additional prospective studies to actively assess and elucidate optimal treatment strategies.
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Affiliation(s)
- Yinghui Bi
- Department of Oncology, Qingdao Municipal Hospital, Qingdao, Shandong 266012, P.R. China
| | - Chaoran Xia
- Zhejiang Shaoxing Topgen Biomedical Technology Co. Ltd., Shanghai 200120, P.R. China
| | - Xinglin Zhang
- Department of Oncology, Qingdao Municipal Hospital, Qingdao, Shandong 266012, P.R. China
| | - Haixin Liu
- Department of Oncology, Qingdao Municipal Hospital, Qingdao, Shandong 266012, P.R. China
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31
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Fan M, Huang H, Xu Y, Wang S, Chen S, Luo Z, Xu J. mRNA-activated DNAzyme nanoprobe for tumor cell precise imaging and gene therapy. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:4114-4118. [PMID: 37555320 DOI: 10.1039/d3ay00937h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/10/2023]
Abstract
A novel Au-nucleic acid nanoprobe, catalyzed by mRNA, has been developed for live cell imaging and precise treatment of tumor cells. This nanoprobe exhibits the remarkable ability to differentiate between tumor cells and normal cells through live cell mRNA imaging, while selectively inducing apoptosis in tumor cells.
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Affiliation(s)
- Mingzhu Fan
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, Yulin, China.
| | | | - Yang Xu
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, Yulin, China.
| | - Shulong Wang
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, Yulin, China.
| | - Shengyu Chen
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, Yulin, China.
| | - Zhihui Luo
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, Yulin, China.
| | - Jiayao Xu
- Guangxi Key Lab of Agricultural Resources Chemistry and Biotechnology, College of Chemistry and Food Science, Yulin Normal University, Yulin, China.
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32
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Poulsgaard GA, Sørensen SG, Juul RI, Nielsen MM, Pedersen JS. Sequence dependencies and mutation rates of localized mutational processes in cancer. Genome Med 2023; 15:63. [PMID: 37592287 PMCID: PMC10436389 DOI: 10.1186/s13073-023-01217-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 08/02/2023] [Indexed: 08/19/2023] Open
Abstract
BACKGROUND Cancer mutations accumulate through replication errors and DNA damage coupled with incomplete repair. Individual mutational processes often show nucleotide sequence and functional region preferences. As a result, some sequence contexts mutate at much higher rates than others, with additional variation found between functional regions. Mutational hotspots, with recurrent mutations across cancer samples, represent genomic positions with elevated mutation rates, often caused by highly localized mutational processes. METHODS We count the 11-mer genomic sequences across the genome, and using the PCAWG set of 2583 pan-cancer whole genomes, we associate 11-mers with mutational signatures, hotspots of single nucleotide variants, and specific genomic regions. We evaluate the mutation rates of individual and combined sets of 11-mers and derive mutational sequence motifs. RESULTS We show that hotspots generally identify highly mutable sequence contexts. Using these, we show that some mutational signatures are enriched in hotspot sequence contexts, corresponding to well-defined sequence preferences for the underlying localized mutational processes. This includes signature 17b (of unknown etiology) and signatures 62 (POLE deficiency), 7a (UV), and 72 (linked to lymphomas). In some cases, the mutation rate and sequence preference increase further when focusing on certain genomic regions, such as signature 62 in transcribed regions, where the mutation rate is increased up to 9-folds over cancer type and mutational signature average. CONCLUSIONS We summarize our findings in a catalog of localized mutational processes, their sequence preferences, and their estimated mutation rates.
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Affiliation(s)
- Gustav Alexander Poulsgaard
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus N, Denmark
- Department of Molecular Medicine (MOMA), Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Simon Grund Sørensen
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus N, Denmark
- Department of Molecular Medicine (MOMA), Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Randi Istrup Juul
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus N, Denmark
- Department of Molecular Medicine (MOMA), Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Morten Muhlig Nielsen
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus N, Denmark
- Department of Molecular Medicine (MOMA), Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark
| | - Jakob Skou Pedersen
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus N, Denmark.
- Department of Molecular Medicine (MOMA), Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark.
- Bioinformatics Research Centre (BiRC), Aarhus University, University City 81, Building 1872, 3Rd Floor, 8000, Aarhus C, Denmark.
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33
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Ashekyan O, Shahbazyan N, Bareghamyan Y, Kudryavzeva A, Mandel D, Schmidt M, Loeffler-Wirth H, Uduman M, Chand D, Underwood D, Armen G, Arakelyan A, Nersisyan L, Binder H. Transcriptomic Maps of Colorectal Liver Metastasis: Machine Learning of Gene Activation Patterns and Epigenetic Trajectories in Support of Precision Medicine. Cancers (Basel) 2023; 15:3835. [PMID: 37568651 PMCID: PMC10417131 DOI: 10.3390/cancers15153835] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
The molecular mechanisms of the liver metastasis of colorectal cancer (CRLM) remain poorly understood. Here, we applied machine learning and bioinformatics trajectory inference to analyze a gene expression dataset of CRLM. We studied the co-regulation patterns at the gene level, the potential paths of tumor development, their functional context, and their prognostic relevance. Our analysis confirmed the subtyping of five liver metastasis subtypes (LMS). We provide gene-marker signatures for each LMS, and a comprehensive functional characterization that considers both the hallmarks of cancer and the tumor microenvironment. The ordering of CRLMs along a pseudotime-tree revealed a continuous shift in expression programs, suggesting a developmental relationship between the subtypes. Notably, trajectory inference and personalized analysis discovered a range of epigenetic states that shape and guide metastasis progression. By constructing prognostic maps that divided the expression landscape into regions associated with favorable and unfavorable prognoses, we derived a prognostic expression score. This was associated with critical processes such as epithelial-mesenchymal transition, treatment resistance, and immune evasion. These factors were associated with responses to neoadjuvant treatment and the formation of an immuno-suppressive, mesenchymal state. Our machine learning-based molecular profiling provides an in-depth characterization of CRLM heterogeneity with possible implications for treatment and personalized diagnostics.
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Affiliation(s)
- Ohanes Ashekyan
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
| | - Nerses Shahbazyan
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
| | - Yeva Bareghamyan
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
| | - Anna Kudryavzeva
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
| | - Daria Mandel
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
| | - Maria Schmidt
- IZBI, Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany; (M.S.); (H.L.-W.)
| | - Henry Loeffler-Wirth
- IZBI, Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany; (M.S.); (H.L.-W.)
| | - Mohamed Uduman
- Agenus Inc., 3 Forbes Road, Lexington, MA 7305, USA; (M.U.); (D.C.); (D.U.); (G.A.)
| | - Dhan Chand
- Agenus Inc., 3 Forbes Road, Lexington, MA 7305, USA; (M.U.); (D.C.); (D.U.); (G.A.)
| | - Dennis Underwood
- Agenus Inc., 3 Forbes Road, Lexington, MA 7305, USA; (M.U.); (D.C.); (D.U.); (G.A.)
| | - Garo Armen
- Agenus Inc., 3 Forbes Road, Lexington, MA 7305, USA; (M.U.); (D.C.); (D.U.); (G.A.)
| | - Arsen Arakelyan
- Institute of Molecular Biology of the National Academy of Sciences of the Republic of Armenia, 7 Has-Ratyan Str., Yerevan 0014, Armenia;
| | - Lilit Nersisyan
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
| | - Hans Binder
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
- IZBI, Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany; (M.S.); (H.L.-W.)
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Abbas S, Pich O, Devonshire G, Zamani SA, Katz-Summercorn A, Killcoyne S, Cheah C, Nutzinger B, Grehan N, Lopez-Bigas N, Fitzgerald RC, Secrier M. Mutational signature dynamics shaping the evolution of oesophageal adenocarcinoma. Nat Commun 2023; 14:4239. [PMID: 37454136 PMCID: PMC10349863 DOI: 10.1038/s41467-023-39957-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 07/03/2023] [Indexed: 07/18/2023] Open
Abstract
A variety of mutational processes drive cancer development, but their dynamics across the entire disease spectrum from pre-cancerous to advanced neoplasia are poorly understood. We explore the mutagenic processes shaping oesophageal adenocarcinoma tumorigenesis in 997 instances comprising distinct stages of this malignancy, from Barrett Oesophagus to primary tumours and advanced metastatic disease. The mutational landscape is dominated by the C[T > C/G]T substitution enriched signatures SBS17a/b, which are linked with TP53 mutations, increased proliferation, genomic instability and disease progression. The APOBEC mutagenesis signature is a weak but persistent signal amplified in primary tumours. We also identify prevalent alterations in DNA damage repair pathways, with homologous recombination, base and nucleotide excision repair and translesion synthesis mutated in up to 50% of the cohort, and surprisingly uncoupled from transcriptional activity. Among these, the presence of base excision repair deficiencies show remarkably poor prognosis in the cohort. In this work, we provide insights on the mutational aetiology and changes enabling the transition from pre-neoplastic to advanced oesophageal adenocarcinoma.
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Affiliation(s)
- Sujath Abbas
- Early Cancer Institute, University of Cambridge, Cambridge, UK
| | - Oriol Pich
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Ginny Devonshire
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | | | | | - Sarah Killcoyne
- Early Cancer Institute, University of Cambridge, Cambridge, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK
| | - Calvin Cheah
- Early Cancer Institute, University of Cambridge, Cambridge, UK
| | | | - Nicola Grehan
- Early Cancer Institute, University of Cambridge, Cambridge, UK
| | - Nuria Lopez-Bigas
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
- Centro de Investigación Biomédica en Red en Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Maria Secrier
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK.
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Shapiro JA, Gaonkar KS, Spielman SJ, Savonen CL, Bethell CJ, Jin R, Rathi KS, Zhu Y, Egolf LE, Farrow BK, Miller DP, Yang Y, Koganti T, Noureen N, Koptyra MP, Duong N, Santi M, Kim J, Robins S, Storm PB, Mack SC, Lilly JV, Xie HM, Jain P, Raman P, Rood BR, Lulla RR, Nazarian J, Kraya AA, Vaksman Z, Heath AP, Kline C, Scolaro L, Viaene AN, Huang X, Way GP, Foltz SM, Zhang B, Poetsch AR, Mueller S, Ennis BM, Prados M, Diskin SJ, Zheng S, Guo Y, Kannan S, Waanders AJ, Margol AS, Kim MC, Hanson D, Van Kuren N, Wong J, Kaufman RS, Coleman N, Blackden C, Cole KA, Mason JL, Madsen PJ, Koschmann CJ, Stewart DR, Wafula E, Brown MA, Resnick AC, Greene CS, Rokita JL, Taroni JN. OpenPBTA: The Open Pediatric Brain Tumor Atlas. CELL GENOMICS 2023; 3:100340. [PMID: 37492101 PMCID: PMC10363844 DOI: 10.1016/j.xgen.2023.100340] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 02/28/2023] [Accepted: 05/04/2023] [Indexed: 07/27/2023]
Abstract
Pediatric brain and spinal cancers are collectively the leading disease-related cause of death in children; thus, we urgently need curative therapeutic strategies for these tumors. To accelerate such discoveries, the Children's Brain Tumor Network (CBTN) and Pacific Pediatric Neuro-Oncology Consortium (PNOC) created a systematic process for tumor biobanking, model generation, and sequencing with immediate access to harmonized data. We leverage these data to establish OpenPBTA, an open collaborative project with over 40 scalable analysis modules that genomically characterize 1,074 pediatric brain tumors. Transcriptomic classification reveals universal TP53 dysregulation in mismatch repair-deficient hypermutant high-grade gliomas and TP53 loss as a significant marker for poor overall survival in ependymomas and H3 K28-mutant diffuse midline gliomas. Already being actively applied to other pediatric cancers and PNOC molecular tumor board decision-making, OpenPBTA is an invaluable resource to the pediatric oncology community.
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Affiliation(s)
- Joshua A. Shapiro
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Krutika S. Gaonkar
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Stephanie J. Spielman
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Rowan University, Glassboro, NJ 08028, USA
| | - Candace L. Savonen
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Chante J. Bethell
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Run Jin
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Komal S. Rathi
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Yuankun Zhu
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Laura E. Egolf
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Bailey K. Farrow
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Daniel P. Miller
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Yang Yang
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
| | - Tejaswi Koganti
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Nighat Noureen
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Mateusz P. Koptyra
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Nhat Duong
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Mariarita Santi
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Jung Kim
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
| | - Shannon Robins
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Phillip B. Storm
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Stephen C. Mack
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Jena V. Lilly
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Hongbo M. Xie
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Payal Jain
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Pichai Raman
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Brian R. Rood
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Rishi R. Lulla
- Division of Hematology/Oncology, Hasbro Children’s Hospital, Providence, RI 02903, USA
- Department of Pediatrics, The Warren Alpert School of Brown University, Providence, RI 02912, USA
| | - Javad Nazarian
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
- Department of Pediatrics, University of Zurich, Zurich, Switzerland
| | - Adam A. Kraya
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Zalman Vaksman
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Allison P. Heath
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Cassie Kline
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Laura Scolaro
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Angela N. Viaene
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Xiaoyan Huang
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Gregory P. Way
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Steven M. Foltz
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Bo Zhang
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Anna R. Poetsch
- Biotechnology Center, Technical University Dresden, Dresden, Germany
- National Center for Tumor Diseases, Dresden, Germany
| | - Sabine Mueller
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, San Francisco, CA 94115, USA
| | - Brian M. Ennis
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Michael Prados
- University of California, San Francisco, San Francisco, CA 94115, USA
| | - Sharon J. Diskin
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Siyuan Zheng
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Yiran Guo
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Shrivats Kannan
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Angela J. Waanders
- Division of Hematology, Oncology, Neuro-Oncology, and Stem Cell Transplant, Ann & Robert H Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Ashley S. Margol
- Division of Hematology and Oncology, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
| | - Meen Chul Kim
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Derek Hanson
- Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Hackensack University Medical Center, Hackensack, NJ 07601, USA
| | - Nicholas Van Kuren
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jessica Wong
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Rebecca S. Kaufman
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Noel Coleman
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Christopher Blackden
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Kristina A. Cole
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jennifer L. Mason
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Peter J. Madsen
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Carl J. Koschmann
- Department of Pediatrics, University of Michigan Health, Ann Arbor, MI 48105, USA
- Pediatric Hematology Oncology, Mott Children’s Hospital, Ann Arbor, MI 48109, USA
| | - Douglas R. Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
| | - Eric Wafula
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Miguel A. Brown
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Adam C. Resnick
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Casey S. Greene
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jo Lynne Rokita
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jaclyn N. Taroni
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Children’s Brain Tumor Network
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Rowan University, Glassboro, NJ 08028, USA
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
- Division of Hematology/Oncology, Hasbro Children’s Hospital, Providence, RI 02903, USA
- Department of Pediatrics, The Warren Alpert School of Brown University, Providence, RI 02912, USA
- Department of Pediatrics, University of Zurich, Zurich, Switzerland
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Biotechnology Center, Technical University Dresden, Dresden, Germany
- National Center for Tumor Diseases, Dresden, Germany
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, San Francisco, CA 94115, USA
- University of California, San Francisco, San Francisco, CA 94115, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Hematology, Oncology, Neuro-Oncology, and Stem Cell Transplant, Ann & Robert H Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Division of Hematology and Oncology, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
- Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Hackensack University Medical Center, Hackensack, NJ 07601, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Michigan Health, Ann Arbor, MI 48105, USA
- Pediatric Hematology Oncology, Mott Children’s Hospital, Ann Arbor, MI 48109, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Pacific Pediatric Neuro-Oncology Consortium
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Rowan University, Glassboro, NJ 08028, USA
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
- Division of Hematology/Oncology, Hasbro Children’s Hospital, Providence, RI 02903, USA
- Department of Pediatrics, The Warren Alpert School of Brown University, Providence, RI 02912, USA
- Department of Pediatrics, University of Zurich, Zurich, Switzerland
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Biotechnology Center, Technical University Dresden, Dresden, Germany
- National Center for Tumor Diseases, Dresden, Germany
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, San Francisco, CA 94115, USA
- University of California, San Francisco, San Francisco, CA 94115, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Hematology, Oncology, Neuro-Oncology, and Stem Cell Transplant, Ann & Robert H Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Division of Hematology and Oncology, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
- Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Hackensack University Medical Center, Hackensack, NJ 07601, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Michigan Health, Ann Arbor, MI 48105, USA
- Pediatric Hematology Oncology, Mott Children’s Hospital, Ann Arbor, MI 48109, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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Jiang W, Pan C, Guo W, Xu Z, Ni Q, Ruan Y. Pathologic collision of urinary bladder urothelial carcinoma with small cell carcinoma: a case report. Diagn Pathol 2023; 18:80. [PMID: 37434193 DOI: 10.1186/s13000-023-01369-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 06/27/2023] [Indexed: 07/13/2023] Open
Abstract
BACKGROUND Urothelial carcinoma is a major subtype of bladder cancer and small cell carcinoma (SCC) is a rare type of cancer in clinical practice. Pathologic collision of urinary bladder urothelial carcinoma with SCC is not common in clinical settings. CASE PRESENTATION Here, we report a patient with high-grade papillary carcinoma which changed to collision tumor with SCC. The patient underwent radical cystectomy; however, neck and mediastinum lymph nodes metastases were detected 11 months after the operation. The lymph nodes were diagnosed pathologically as SCC. Chemoradiotherapy was subsequently prescribed. Unfortunately, this patient died of COVID-19 in early 2023. DISCUSSION We hypothesized the mechanism underlying this pathological transformation. For patients with urothelial bladder cancer, pathological analysis should be conducted to allow standardized and persistent treatment. Moreover, drugs should be selected depending on the type of pathology, especially for patients who develop relapse, since collision tumor or other pathological tumors may be present. CONCLUSIONS We recommend that radical cystectomy be performed early enough for patients with non-muscle invasive bladder cancer, who are at a high risk of tumor recurrence. However, this conclusion needs to be validated in a larger number of patients.
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Affiliation(s)
- Wei Jiang
- Department of Urological Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, 225300, Jiangsu, P.R. China
| | - Chi Pan
- Department of General Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, 225300, Jiangsu, P.R. China
| | - Wei Guo
- Department of Urological Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, 225300, Jiangsu, P.R. China
| | - Zhen Xu
- Department of Urological Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, 225300, Jiangsu, P.R. China
| | - Qingtao Ni
- Department of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, 225300, Jiangsu, P.R. China.
| | - Yashi Ruan
- Department of Urological Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, 225300, Jiangsu, P.R. China.
- Department of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, 225300, Jiangsu, P.R. China.
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Casimir L, Zimmer S, Racine-Brassard F, Goudreau F, Jacques PÉ, Maréchal A. Chronic treatment with ATR and CHK1 inhibitors does not substantially increase the mutational burden of human cells. Mutat Res 2023; 827:111834. [PMID: 37531716 DOI: 10.1016/j.mrfmmm.2023.111834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/13/2023] [Accepted: 07/19/2023] [Indexed: 08/04/2023]
Abstract
DNA replication stress (RS) entails the frequent slow down and arrest of replication forks by a variety of conditions that hinder accurate and processive genome duplication. Elevated RS leads to genome instability, replication catastrophe and eventually cell death. RS is particularly prevalent in cancer cells and its exacerbation to unsustainable levels by chemotherapeutic agents remains a cornerstone of cancer treatments. The adverse consequences of RS are normally prevented by the ATR and CHK1 checkpoint kinases that stabilize stressed forks, suppress origin firing and promote cell cycle arrest when replication is perturbed. Specific inhibitors of these kinases have been developed and shown to potentiate RS and cell death in multiple in vitro cancer settings. Ongoing clinical trials are now probing their efficacy against various cancer types, either as single agents or in combination with mainstay chemotherapeutics. Despite their promise as valuable additions to the anti-cancer pharmacopoeia, we still lack a genome-wide view of the potential mutagenicity of these new drugs. To investigate this question, we performed chronic long-term treatments of TP53-depleted human cancer cells with ATR and CHK1 inhibitors (ATRi, AZD6738/ceralasertib and CHK1i, MK8776/SCH-900776). ATR or CHK1 inhibition did not significantly increase the mutational burden of cells, nor generate specific mutational signatures. Indeed, no notable changes in the numbers of base substitutions, short insertions/deletions and larger scale rearrangements were observed despite induction of replication-associated DNA breaks during treatments. Interestingly, ATR inhibition did induce a slight increase in closely-spaced mutations, a feature previously attributed to translesion synthesis DNA polymerases. The results suggest that ATRi and CHK1i do not have substantial mutagenic effects in vitro when used as standalone agents.
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Affiliation(s)
- Lisa Casimir
- Département de Biologie, Université de Sherbrooke, Sherbrooke J1K 2R1, QC, Canada; Institut de Recherche sur le Cancer de l'Université de Sherbrooke (IRCUS), Sherbrooke J1K 2R1, QC, Canada
| | - Samuel Zimmer
- Département de Biologie, Université de Sherbrooke, Sherbrooke J1K 2R1, QC, Canada; Institut de Recherche sur le Cancer de l'Université de Sherbrooke (IRCUS), Sherbrooke J1K 2R1, QC, Canada
| | - Félix Racine-Brassard
- Département de Biologie, Université de Sherbrooke, Sherbrooke J1K 2R1, QC, Canada; Institut de Recherche sur le Cancer de l'Université de Sherbrooke (IRCUS), Sherbrooke J1K 2R1, QC, Canada
| | - Félix Goudreau
- Département de Biologie, Université de Sherbrooke, Sherbrooke J1K 2R1, QC, Canada; Institut de Recherche sur le Cancer de l'Université de Sherbrooke (IRCUS), Sherbrooke J1K 2R1, QC, Canada
| | - Pierre-Étienne Jacques
- Département de Biologie, Université de Sherbrooke, Sherbrooke J1K 2R1, QC, Canada; Institut de Recherche sur le Cancer de l'Université de Sherbrooke (IRCUS), Sherbrooke J1K 2R1, QC, Canada; Centre de recherche du Centre hospitalier universitaire de Sherbrooke (CRCHUS), Sherbrooke J1H 5N3, QC, Canada.
| | - Alexandre Maréchal
- Département de Biologie, Université de Sherbrooke, Sherbrooke J1K 2R1, QC, Canada; Institut de Recherche sur le Cancer de l'Université de Sherbrooke (IRCUS), Sherbrooke J1K 2R1, QC, Canada; Centre de recherche du Centre hospitalier universitaire de Sherbrooke (CRCHUS), Sherbrooke J1H 5N3, QC, Canada.
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Testa U, Castelli G, Pelosi E. TP53-Mutated Myelodysplasia and Acute Myeloid Leukemia. Mediterr J Hematol Infect Dis 2023; 15:e2023038. [PMID: 37435040 PMCID: PMC10332352 DOI: 10.4084/mjhid.2023.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 06/01/2023] [Indexed: 07/13/2023] Open
Abstract
TP53-mutated myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) form a distinct and heterogeneous group of myeloid malignancies associated with poor outcomes. Studies carried out in the last years have in part elucidated the complex role played by TP53 mutations in the pathogenesis of these myeloid disorders and in the mechanisms of drug resistance. A consistent number of studies has shown that some molecular parameters, such as the presence of a single or multiple TP53 mutations, the presence of concomitant TP53 deletions, the association with co-occurring mutations, the clonal size of TP53 mutations, the involvement of a single (monoallelic) or of both TP53 alleles (biallelic) and the cytogenetic architecture of concomitant chromosome abnormalities are major determinants of outcomes of patients. The limited response of these patients to standard treatments, including induction chemotherapy, hypomethylating agents and venetoclax-based therapies and the discovery of an immune dysregulation have induced a shift to new emerging therapies, some of which being associated with promising efficacy. The main aim of these novel immune and nonimmune strategies consists in improving survival and in increasing the number of TP53-mutated MDS/AML patients in remission amenable to allogeneic stem cell transplantation.
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Affiliation(s)
- Ugo Testa
- Department of Oncology, Istituto Superiore di Sanità, Rome Italy
| | - Germana Castelli
- Department of Oncology, Istituto Superiore di Sanità, Rome Italy
| | - Elvira Pelosi
- Department of Oncology, Istituto Superiore di Sanità, Rome Italy
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39
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Wiecek AJ, Cutty SJ, Kornai D, Parreno-Centeno M, Gourmet LE, Tagliazucchi GM, Jacobson DH, Zhang P, Xiong L, Bond GL, Barr AR, Secrier M. Genomic hallmarks and therapeutic implications of G0 cell cycle arrest in cancer. Genome Biol 2023; 24:128. [PMID: 37221612 PMCID: PMC10204193 DOI: 10.1186/s13059-023-02963-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 05/07/2023] [Indexed: 05/25/2023] Open
Abstract
BACKGROUND Therapy resistance in cancer is often driven by a subpopulation of cells that are temporarily arrested in a non-proliferative G0 state, which is difficult to capture and whose mutational drivers remain largely unknown. RESULTS We develop methodology to robustly identify this state from transcriptomic signals and characterise its prevalence and genomic constraints in solid primary tumours. We show that G0 arrest preferentially emerges in the context of more stable, less mutated genomes which maintain TP53 integrity and lack the hallmarks of DNA damage repair deficiency, while presenting increased APOBEC mutagenesis. We employ machine learning to uncover novel genomic dependencies of this process and validate the role of the centrosomal gene CEP89 as a modulator of proliferation and G0 arrest capacity. Lastly, we demonstrate that G0 arrest underlies unfavourable responses to various therapies exploiting cell cycle, kinase signalling and epigenetic mechanisms in single-cell data. CONCLUSIONS We propose a G0 arrest transcriptional signature that is linked with therapeutic resistance and can be used to further study and clinically track this state.
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Affiliation(s)
- Anna J. Wiecek
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Stephen J. Cutty
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Daniel Kornai
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Mario Parreno-Centeno
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Lucie E. Gourmet
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | | | - Daniel H. Jacobson
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
- UCL Cancer Institute, Paul O’Gorman Building, University College London, London, UK
| | - Ping Zhang
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Lingyun Xiong
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Gareth L. Bond
- Institute of Cancer and Genomic Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Alexis R. Barr
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
- Cell Cycle Control Team, MRC London Institute of Medical Sciences (LMS), London, UK
| | - Maria Secrier
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
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40
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Diamond B, Ziccheddu B, Maclachlan K, Taylor J, Boyle E, Ossa JA, Jahn J, Affer M, Totiger TM, Coffey D, Chandhok N, Watts J, Cimmino L, Lu SX, Bolli N, Bolton K, Landau H, Park JH, Ganesh K, McPherson A, Sekeres MA, Lesokhin A, Chung DJ, Zhang Y, Ho C, Roshal M, Tyner J, Nimer S, Papaemmanuil E, Usmani S, Morgan G, Landgren O, Maura F. Tracking the evolution of therapy-related myeloid neoplasms using chemotherapy signatures. Blood 2023; 141:2359-2371. [PMID: 36626250 PMCID: PMC10273163 DOI: 10.1182/blood.2022018244] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 11/22/2022] [Accepted: 12/19/2022] [Indexed: 01/11/2023] Open
Abstract
Patients treated with cytotoxic therapies, including autologous stem cell transplantation, are at risk for developing therapy-related myeloid neoplasms (tMN). Preleukemic clones (ie, clonal hematopoiesis [CH]) are detectable years before the development of these aggressive malignancies, although the genomic events leading to transformation and expansion are not well defined. Here, by leveraging distinctive chemotherapy-associated mutational signatures from whole-genome sequencing data and targeted sequencing of prechemotherapy samples, we reconstructed the evolutionary life-history of 39 therapy-related myeloid malignancies. A dichotomy was revealed, in which neoplasms with evidence of chemotherapy-induced mutagenesis from platinum and melphalan were hypermutated and enriched for complex structural variants (ie, chromothripsis), whereas neoplasms with nonmutagenic chemotherapy exposures were genomically similar to de novo acute myeloid leukemia. Using chemotherapy-associated mutational signatures as temporal barcodes linked to discrete clinical exposure in each patient's life, we estimated that several complex events and genomic drivers were acquired after chemotherapy was administered. For patients with prior multiple myeloma who were treated with high-dose melphalan and autologous stem cell transplantation, we demonstrate that tMN can develop from either a reinfused CH clone that escapes melphalan exposure and is selected after reinfusion, or from TP53-mutant CH that survives direct myeloablative conditioning and acquires melphalan-induced DNA damage. Overall, we revealed a novel mode of tMN progression that is not reliant on direct mutagenesis or even exposure to chemotherapy. Conversely, for tMN that evolve under the influence of chemotherapy-induced mutagenesis, distinct chemotherapies not only select preexisting CH but also promote the acquisition of recurrent genomic drivers.
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Affiliation(s)
- Benjamin Diamond
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | | | - Kylee Maclachlan
- Division of Myeloma, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Justin Taylor
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Eileen Boyle
- Myeloma Research Program, New York University Langone, Perlmutter Cancer Center, New York, NY
| | - Juan Arango Ossa
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jacob Jahn
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Maurizio Affer
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | | | - David Coffey
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Namrata Chandhok
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Justin Watts
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Luisa Cimmino
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Sydney X. Lu
- Division of Hematology, Stanford Hospital and Clinics, Stanford University, Stanford, CA
| | - Niccolò Bolli
- Department of Oncology and Onco-Hematology, Università degli Studi di Milano, Milan, Italy
- Hematology Unit, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Kelly Bolton
- Division of Oncology, Washington University School of Medicine, St. Louis, MO
| | - Heather Landau
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jae H. Park
- Department of Medicine, Memorial Hospital, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Karuna Ganesh
- Department of Medicine, Memorial Hospital, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Andrew McPherson
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Alexander Lesokhin
- Division of Myeloma, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David J. Chung
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Yanming Zhang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Caleb Ho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Mikhail Roshal
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jeffrey Tyner
- Division of Hematology and Medical Oncology, Oregon Health & Science University, Portland, OR
| | - Stephen Nimer
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Elli Papaemmanuil
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Saad Usmani
- Division of Myeloma, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Gareth Morgan
- Myeloma Research Program, New York University Langone, Perlmutter Cancer Center, New York, NY
| | - Ola Landgren
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
| | - Francesco Maura
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL
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41
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Gundem G, Levine MF, Roberts SS, Cheung IY, Medina-Martínez JS, Feng Y, Arango-Ossa JE, Chadoutaud L, Rita M, Asimomitis G, Zhou J, You D, Bouvier N, Spitzer B, Solit DB, Dela Cruz F, LaQuaglia MP, Kushner BH, Modak S, Shukla N, Iacobuzio-Donahue CA, Kung AL, Cheung NKV, Papaemmanuil E. Clonal evolution during metastatic spread in high-risk neuroblastoma. Nat Genet 2023:10.1038/s41588-023-01395-x. [PMID: 37169874 DOI: 10.1038/s41588-023-01395-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 04/12/2023] [Indexed: 05/13/2023]
Abstract
Patients with high-risk neuroblastoma generally present with widely metastatic disease and often relapse despite intensive therapy. As most studies to date focused on diagnosis-relapse pairs, our understanding of the genetic and clonal dynamics of metastatic spread and disease progression remain limited. Here, using genomic profiling of 470 sequential and spatially separated samples from 283 patients, we characterize subtype-specific genetic evolutionary trajectories from diagnosis through progression and end-stage metastatic disease. Clonal tracing timed disease initiation to embryogenesis. Continuous acquisition of structural variants at disease-defining loci (MYCN, TERT, MDM2-CDK4) followed by convergent evolution of mutations targeting shared pathways emerged as the predominant feature of progression. At diagnosis metastatic clones were already established at distant sites where they could stay dormant, only to cause relapses years later and spread via metastasis-to-metastasis and polyclonal seeding after therapy.
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Affiliation(s)
- Gunes Gundem
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Max F Levine
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Stephen S Roberts
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Irene Y Cheung
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Juan S Medina-Martínez
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yi Feng
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Juan E Arango-Ossa
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Loic Chadoutaud
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mathieu Rita
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Georgios Asimomitis
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joe Zhou
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Daoqi You
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nancy Bouvier
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Barbara Spitzer
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David B Solit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, New York, NY, USA
| | - Filemon Dela Cruz
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael P LaQuaglia
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Brian H Kushner
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Shakeel Modak
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Neerav Shukla
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christine A Iacobuzio-Donahue
- The David M. Rubenstein Center for Pancreatic Cancer Research, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrew L Kung
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nai-Kong V Cheung
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elli Papaemmanuil
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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42
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Maura F, Ziccheddu B, Xiang JZ, Bhinder B, Rosiene J, Abascal F, Maclachlan KH, Eng KW, Uppal M, He F, Zhang W, Gao Q, Yellapantula VD, Trujillo-Alonso V, Park SI, Oberley MJ, Ruckdeschel E, Lim MS, Wertheim GB, Barth MJ, Horton TM, Derkach A, Kovach AE, Forlenza CJ, Zhang Y, Landgren O, Moskowitz CH, Cesarman E, Imielinski M, Elemento O, Roshal M, Giulino-Roth L. Molecular Evolution of Classic Hodgkin Lymphoma Revealed Through Whole-Genome Sequencing of Hodgkin and Reed Sternberg Cells. Blood Cancer Discov 2023; 4:208-227. [PMID: 36723991 PMCID: PMC10150291 DOI: 10.1158/2643-3230.bcd-22-0128] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 11/21/2022] [Accepted: 01/26/2023] [Indexed: 02/02/2023] Open
Abstract
The rarity of malignant Hodgkin and Reed Sternberg (HRS) cells in classic Hodgkin lymphoma (cHL) limits the ability to study the genomics of cHL. To circumvent this, our group has previously optimized fluorescence-activated cell sorting to purify HRS cells. Using this approach, we now report the whole-genome sequencing landscape of HRS cells and reconstruct the chronology and likely etiology of pathogenic events leading to cHL. We identified alterations in driver genes not previously described in cHL, APOBEC mutational activity, and the presence of complex structural variants including chromothripsis. We found that high ploidy in cHL is often acquired through multiple, independent chromosomal gains events including whole-genome duplication. Evolutionary timing analyses revealed that structural variants enriched for RAG motifs, driver mutations in B2M, BCL7A, GNA13, and PTPN1, and the onset of AID-driven mutagenesis usually preceded large chromosomal gains. This study provides a temporal reconstruction of cHL pathogenesis. SIGNIFICANCE Previous studies in cHL were limited to coding sequences and therefore not able to comprehensively decipher the tumor complexity. Here, leveraging cHL whole-genome characterization, we identify driver events and reconstruct the tumor evolution, finding that structural variants, driver mutations, and AID mutagenesis precede chromosomal gains. This article is highlighted in the In This Issue feature, p. 171.
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Affiliation(s)
- Francesco Maura
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Bachisio Ziccheddu
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Jenny Z. Xiang
- Weill Cornell Medical College, New York, New York
- Englander Institute for Precision Medicine, Institute for Computational Biomedicine, and Meyer Cancer Center, Weill Cornell Medical College, New York, New York
| | - Bhavneet Bhinder
- Englander Institute for Precision Medicine, Institute for Computational Biomedicine, and Meyer Cancer Center, Weill Cornell Medical College, New York, New York
| | - Joel Rosiene
- Weill Cornell Medical College, New York, New York
| | - Federico Abascal
- The Cancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute, Hinxton, United Kingdom
| | - Kylee H. Maclachlan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kenneth Wha Eng
- Englander Institute for Precision Medicine, Institute for Computational Biomedicine, and Meyer Cancer Center, Weill Cornell Medical College, New York, New York
| | - Manik Uppal
- Englander Institute for Precision Medicine, Institute for Computational Biomedicine, and Meyer Cancer Center, Weill Cornell Medical College, New York, New York
| | - Feng He
- Weill Cornell Medical College, New York, New York
| | - Wei Zhang
- Weill Cornell Medical College, New York, New York
| | - Qi Gao
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Venkata D. Yellapantula
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine at Children's Hospital Los Angeles, Los Angeles, California
| | | | - Sunita I. Park
- Department of Pathology, Children's Hospital of Atlanta, Atlanta, Georgia
| | | | | | - Megan S. Lim
- Department of Pathology, Children's Hospital of Philadelphia, Philadelphia, Philadelphia
| | - Gerald B. Wertheim
- Department of Pathology, Children's Hospital of Philadelphia, Philadelphia, Philadelphia
| | - Matthew J. Barth
- Department of Pediatrics, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Terzah M. Horton
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Andriy Derkach
- Department of Epidemiology and Statistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | | | - Yanming Zhang
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ola Landgren
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Craig H. Moskowitz
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | | | - Marcin Imielinski
- Weill Cornell Medical College, New York, New York
- Englander Institute for Precision Medicine, Institute for Computational Biomedicine, and Meyer Cancer Center, Weill Cornell Medical College, New York, New York
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Olivier Elemento
- Weill Cornell Medical College, New York, New York
- Englander Institute for Precision Medicine, Institute for Computational Biomedicine, and Meyer Cancer Center, Weill Cornell Medical College, New York, New York
| | - Mikhail Roshal
- Memorial Sloan Kettering Cancer Center, New York, New York
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43
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Liao J, Bai J, Pan T, Zou H, Gao Y, Guo J, Xu Q, Xu J, Li Y, Li X. Clinical and genomic characterization of mutational signatures across human cancers. Int J Cancer 2023; 152:1613-1629. [PMID: 36533638 DOI: 10.1002/ijc.34402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 11/19/2022] [Accepted: 12/08/2022] [Indexed: 12/23/2022]
Abstract
Mutational signatures, the generic patterns of mutations, are the footprints of both endogenous and exogenous factors that have influenced cancer development. To date, dozens of mutational signatures have been discerned through computational methods. However, the etiology, mutational properties, clonality, immunology and prognostic value of mutation signatures across cancer types are poorly understood. To address this, we extensively characterized mutational signatures across 8836 cancer samples spanning 42 cancer types. We confirmed and extended clinical and genomic features associated with mutation signatures. Mutation distribution analysis showed that most mutation processes were depleted in exons and APOBEC signatures (SBS2 and SBS13), the Pol-η related signature (SBS9) and SBS40 tended to contribute clustered mutations. We observed that age-related signatures (SBS1 and SBS5) and SBS40 tended to induce mutations affecting cancer genes and subclonal drivers posted by specific signatures (eg, mismatch repair deficiency-related signature SBS44) were unlikely subjected to positive selection. We also revealed early mutation signatures (eg, UV light exposure-related signature SBS7a) and signatures (eg, reactive oxygen species-related signature SBS18) predominated in the late stage of tumorigenesis. Comprehensive association analysis of mutation processes with microenvironment revealed that APOBEC- and mismatch repair deficiency-related signatures were positively associated with immune parameters, while age-related signatures showed negative correlations. In addition, prognostic association analysis showed that many signatures were favorable (eg, SBS9) or adverse factors (eg, SBS18) of patient survival. Our findings enhance appreciation of the role of mutational signatures in tumor evolution and underline their potential in immunotherapy guidance and prognostic prediction.
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Affiliation(s)
- Jianlong Liao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China
| | - Jing Bai
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China
| | - Tao Pan
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Haozhe Zou
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.,Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Yueying Gao
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Jing Guo
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Qi Xu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Juan Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China
| | - Yongsheng Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Xia Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.,Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
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44
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Wang H, Wang Y, Yang R, Liu D, Li W. Risk of second primary lung cancer in patients with thyroid cancer: a meta-analysis based on big population studies. Chin Med J (Engl) 2023:00029330-990000000-00536. [PMID: 37052139 DOI: 10.1097/cm9.0000000000002457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND Previous studies have revealed that the number of cancer survivors developing a second primary malignancy is increasing, especially among thyroid cancer patients, and lung cancer is still the main cause of cancer death. Therefore, we aimed to investigate the risk of second primary lung cancer (SPLC) in patients with thyroid cancer. METHODS We searched the PubMed, Web of Science, Embase, and Scopus databases up to November 24, 2021, for relevant research and merged the standardized incidence ratios (SIRs) and 95% confidence intervals (95% CIs) to evaluate the risk of developing SPLC in patients with thyroid cancer. RESULTS Fourteen studies involving 1480,816 cases were included in our meta-analysis. The pooled result demonstrated that thyroid cancer patients may have a higher risk of SPLC than the general population (SIR = 1.21, 95% CI: 1.07-1.36, P < 0.01, I2 = 81%, P < 0.01). Subgroup analysis stratified by sex indicated that female patients may have a markedly higher risk of SPLC than male patients (SIR = 1.65, 95% CI: 1.40-1.94, P < 0.01, I2 = 75%, P < 0.01). CONCLUSIONS Thyroid cancer patients are more likely to develop SPLC than the general population, especially women. However, other risk factors must be investigated, and more prospective studies are needed to confirm our results.Registration: International Prospective Register of Systematic Reviews: No. CRD42021285399.
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Affiliation(s)
- Haoyu Wang
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yan Wang
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Ruiyuan Yang
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Dan Liu
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Weimin Li
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- The Research Units of West China, Chinese Academy of Medical Sciences, West China Hospital, Chengdu, Sichuan 610041, China
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45
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Paassen I, Williams J, Ríos Arceo C, Ringnalda F, Mercer KS, Buhl JL, Moreno N, Federico A, Franke NE, Kranendonk M, Upadhyaya SA, Kerl K, van de Wetering M, Clevers H, Kool M, Hoving EW, Roussel MF, Drost J. Atypical teratoid/rhabdoid tumoroids reveal subgroup-specific drug vulnerabilities. Oncogene 2023; 42:1661-1671. [PMID: 37020038 PMCID: PMC10181938 DOI: 10.1038/s41388-023-02681-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 03/15/2023] [Accepted: 03/23/2023] [Indexed: 04/07/2023]
Abstract
Atypical teratoid/rhabdoid tumors (ATRTs) represent a rare, but aggressive pediatric brain tumor entity. They are genetically defined by alterations in the SWI/SNF chromatin remodeling complex members SMARCB1 or SMARCA4. ATRTs can be further classified in different molecular subgroups based on their epigenetic profiles. Although recent studies suggest that the different subgroups have distinct clinical features, subgroup-specific treatment regimens have not been developed thus far. This is hampered by the lack of pre-clinical in vitro models representative of the different molecular subgroups. Here, we describe the establishment of ATRT tumoroid models from the ATRT-MYC and ATRT-SHH subgroups. We demonstrate that ATRT tumoroids retain subgroup-specific epigenetic and gene expression profiles. High throughput drug screens on our ATRT tumoroids revealed distinct drug sensitivities between and within ATRT-MYC and ATRT-SHH subgroups. Whereas ATRT-MYC universally displayed high sensitivity to multi-targeted tyrosine kinase inhibitors, ATRT-SHH showed a more heterogeneous response with a subset showing high sensitivity to NOTCH inhibitors, which corresponded to high expression of NOTCH receptors. Our ATRT tumoroids represent the first pediatric brain tumor organoid model, providing a representative pre-clinical model which enables the development of subgroup-specific therapies.
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Affiliation(s)
- Irene Paassen
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Justin Williams
- Department of Tumor Cell Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Carla Ríos Arceo
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Femke Ringnalda
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Kimberly Shea Mercer
- Department of Tumor Cell Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Juliane L Buhl
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Natalia Moreno
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Aniello Federico
- Hopp Children's Cancer Center (KiTZ), 69120, Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center DKFZ and German Cancer Consortium DKTK, 69120, Heidelberg, Germany
| | - Niels E Franke
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Mariette Kranendonk
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | | | - Kornelius Kerl
- Department of Pediatric Hematology and Oncology, University Children's Hospital Münster, Münster, Germany
| | - Marc van de Wetering
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Hans Clevers
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, 3584 CT, Utrecht, the Netherlands
- Pharma, Research and Early Development (pRED) of F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Marcel Kool
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
- Hopp Children's Cancer Center (KiTZ), 69120, Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center DKFZ and German Cancer Consortium DKTK, 69120, Heidelberg, Germany
| | - Eelco W Hoving
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands
| | - Martine F Roussel
- Department of Tumor Cell Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jarno Drost
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands.
- Oncode Institute, Heidelberglaan 25, 3584 CS, Utrecht, the Netherlands.
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46
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Al Bakir M, Huebner A, Martínez-Ruiz C, Grigoriadis K, Watkins TBK, Pich O, Moore DA, Veeriah S, Ward S, Laycock J, Johnson D, Rowan A, Razaq M, Akther M, Naceur-Lombardelli C, Prymas P, Toncheva A, Hessey S, Dietzen M, Colliver E, Frankell AM, Bunkum A, Lim EL, Karasaki T, Abbosh C, Hiley CT, Hill MS, Cook DE, Wilson GA, Salgado R, Nye E, Stone RK, Fennell DA, Price G, Kerr KM, Naidu B, Middleton G, Summers Y, Lindsay CR, Blackhall FH, Cave J, Blyth KG, Nair A, Ahmed A, Taylor MN, Procter AJ, Falzon M, Lawrence D, Navani N, Thakrar RM, Janes SM, Papadatos-Pastos D, Forster MD, Lee SM, Ahmad T, Quezada SA, Peggs KS, Van Loo P, Dive C, Hackshaw A, Birkbak NJ, Zaccaria S, Jamal-Hanjani M, McGranahan N, Swanton C. The evolution of non-small cell lung cancer metastases in TRACERx. Nature 2023; 616:534-542. [PMID: 37046095 PMCID: PMC10115651 DOI: 10.1038/s41586-023-05729-x] [Citation(s) in RCA: 47] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 01/12/2023] [Indexed: 04/14/2023]
Abstract
Metastatic disease is responsible for the majority of cancer-related deaths1. We report the longitudinal evolutionary analysis of 126 non-small cell lung cancer (NSCLC) tumours from 421 prospectively recruited patients in TRACERx who developed metastatic disease, compared with a control cohort of 144 non-metastatic tumours. In 25% of cases, metastases diverged early, before the last clonal sweep in the primary tumour, and early divergence was enriched for patients who were smokers at the time of initial diagnosis. Simulations suggested that early metastatic divergence more frequently occurred at smaller tumour diameters (less than 8 mm). Single-region primary tumour sampling resulted in 83% of late divergence cases being misclassified as early, highlighting the importance of extensive primary tumour sampling. Polyclonal dissemination, which was associated with extrathoracic disease recurrence, was found in 32% of cases. Primary lymph node disease contributed to metastatic relapse in less than 20% of cases, representing a hallmark of metastatic potential rather than a route to subsequent recurrences/disease progression. Metastasis-seeding subclones exhibited subclonal expansions within primary tumours, probably reflecting positive selection. Our findings highlight the importance of selection in metastatic clone evolution within untreated primary tumours, the distinction between monoclonal versus polyclonal seeding in dictating site of recurrence, the limitations of current radiological screening approaches for early diverging tumours and the need to develop strategies to target metastasis-seeding subclones before relapse.
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Affiliation(s)
- Maise Al Bakir
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Ariana Huebner
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Carlos Martínez-Ruiz
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Kristiana Grigoriadis
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Thomas B K Watkins
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Oriol Pich
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - David A Moore
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Department of Cellular Pathology, University College London Hospitals, London, UK
| | - Selvaraju Veeriah
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Sophia Ward
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Advanced Sequencing Facility, The Francis Crick Institute, London, UK
| | - Joanne Laycock
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Diana Johnson
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Andrew Rowan
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Maryam Razaq
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Mita Akther
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | | | - Paulina Prymas
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Antonia Toncheva
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Sonya Hessey
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Michelle Dietzen
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Emma Colliver
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Alexander M Frankell
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Abigail Bunkum
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Emilia L Lim
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Takahiro Karasaki
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
| | - Christopher Abbosh
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Crispin T Hiley
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Mark S Hill
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Daniel E Cook
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Gareth A Wilson
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Roberto Salgado
- Department of Pathology, ZAS Hospitals, Antwerp, Belgium
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Emma Nye
- Experimental Histopathology, The Francis Crick Institute, London, UK
| | | | - Dean A Fennell
- University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Gillian Price
- Department of Medical Oncology, Aberdeen Royal Infirmary NHS Grampian, Aberdeen, UK
- University of Aberdeen, Aberdeen, UK
| | - Keith M Kerr
- University of Aberdeen, Aberdeen, UK
- Department of Pathology, Aberdeen Royal Infirmary NHS Grampian, Aberdeen, UK
| | - Babu Naidu
- Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Gary Middleton
- University Hospital Birmingham NHS Foundation Trust, Birmingham, UK
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Yvonne Summers
- Division of Cancer Sciences, The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
| | - Colin R Lindsay
- Division of Cancer Sciences, The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
| | - Fiona H Blackhall
- Division of Cancer Sciences, The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
| | - Judith Cave
- Department of Oncology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Kevin G Blyth
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
- Cancer Research UK Beatson Institute, Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK
| | - Arjun Nair
- Department of Radiology, University College London Hospitals, London, UK
- UCL Respiratory, Department of Medicine, University College London, London, UK
| | - Asia Ahmed
- Department of Radiology, University College London Hospitals, London, UK
| | - Magali N Taylor
- Department of Radiology, University College London Hospitals, London, UK
| | | | - Mary Falzon
- Department of Cellular Pathology, University College London Hospitals, London, UK
| | - David Lawrence
- Department of Thoracic Surgery, University College London Hospital NHS Trust, London, UK
| | - Neal Navani
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
- Department of Thoracic Medicine, University College London Hospitals, London, UK
| | - Ricky M Thakrar
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
- Department of Thoracic Medicine, University College London Hospitals, London, UK
| | - Sam M Janes
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | | | - Martin D Forster
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Department of Oncology, University College London Hospitals, London, UK
| | - Siow Ming Lee
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Department of Oncology, University College London Hospitals, London, UK
| | - Tanya Ahmad
- Department of Oncology, University College London Hospitals, London, UK
| | - Sergio A Quezada
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Immune Regulation and Tumour Immunotherapy Group, Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Karl S Peggs
- Department of Haematology, University College London Hospitals, London, UK
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Peter Van Loo
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Caroline Dive
- Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University of Manchester, Manchester, UK
| | - Allan Hackshaw
- Cancer Research UK & UCL Cancer Trials Centre, London, UK
| | - Nicolai J Birkbak
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK.
- Department of Oncology, University College London Hospitals, London, UK.
| | - Nicholas McGranahan
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
- Department of Oncology, University College London Hospitals, London, UK.
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47
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Smith MR, Wang Y, D'Agostino R, Liu Y, Ruiz J, Lycan T, Oliver G, Miller LD, Topaloglu U, Pinkney J, Abdulhaleem MN, Chan MD, Farris M, Su J, Mileham KF, Xing F. Prognostic Mutational Signatures of NSCLC Patients treated with chemotherapy, immunotherapy and chemoimmunotherapy. NPJ Precis Oncol 2023; 7:34. [PMID: 36973365 PMCID: PMC10042886 DOI: 10.1038/s41698-023-00373-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 03/13/2023] [Indexed: 03/29/2023] Open
Abstract
Different types of therapy are currently being used to treat non-small cell lung cancer (NSCLC) depending on the stage of tumor and the presence of potentially druggable mutations. However, few biomarkers are available to guide clinicians in selecting the most effective therapy for all patients with various genetic backgrounds. To examine whether patients' mutation profiles are associated with the response to a specific treatment, we collected comprehensive clinical characteristics and sequencing data from 524 patients with stage III and IV NSCLC treated at Atrium Health Wake Forest Baptist. Overall survival based Cox-proportional hazard regression models were applied to identify mutations that were "beneficial" (HR < 1) or "detrimental" (HR > 1) for patients treated with chemotherapy (chemo), immune checkpoint inhibitor (ICI) and chemo+ICI combination therapy (Chemo+ICI) followed by the generation of mutation composite scores (MCS) for each treatment. We also found that MCS is highly treatment specific that MCS derived from one treatment group failed to predict the response in others. Receiver operating characteristics (ROC) analyses showed a superior predictive power of MCS compared to TMB and PD-L1 status for immune therapy-treated patients. Mutation interaction analysis also identified novel co-occurring and mutually exclusive mutations in each treatment group. Our work highlights how patients' sequencing data facilitates the clinical selection of optimized treatment strategies.
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Affiliation(s)
- Margaret R Smith
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
| | - Yuezhu Wang
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
| | - Ralph D'Agostino
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Yin Liu
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
| | - Jimmy Ruiz
- Department of Hematology and Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Thomas Lycan
- Department of Hematology and Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - George Oliver
- Department of Pharmacy, Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC, USA
| | - Lance D Miller
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
| | - Umit Topaloglu
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
| | - Jireh Pinkney
- Department of Biology, Winston Salem State University, Winston-Salem, NC, USA
| | - Mohammed N Abdulhaleem
- Department of Hematology and Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Michael D Chan
- Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Michael Farris
- Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Jing Su
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kathryn F Mileham
- Department of Solid Tumor Oncology, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA
| | - Fei Xing
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
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48
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Patterson A, Elbasir A, Tian B, Auslander N. Computational Methods Summarizing Mutational Patterns in Cancer: Promise and Limitations for Clinical Applications. Cancers (Basel) 2023; 15:cancers15071958. [PMID: 37046619 PMCID: PMC10093138 DOI: 10.3390/cancers15071958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 02/24/2023] [Accepted: 03/09/2023] [Indexed: 03/29/2023] Open
Abstract
Since the rise of next-generation sequencing technologies, the catalogue of mutations in cancer has been continuously expanding. To address the complexity of the cancer-genomic landscape and extract meaningful insights, numerous computational approaches have been developed over the last two decades. In this review, we survey the current leading computational methods to derive intricate mutational patterns in the context of clinical relevance. We begin with mutation signatures, explaining first how mutation signatures were developed and then examining the utility of studies using mutation signatures to correlate environmental effects on the cancer genome. Next, we examine current clinical research that employs mutation signatures and discuss the potential use cases and challenges of mutation signatures in clinical decision-making. We then examine computational studies developing tools to investigate complex patterns of mutations beyond the context of mutational signatures. We survey methods to identify cancer-driver genes, from single-driver studies to pathway and network analyses. In addition, we review methods inferring complex combinations of mutations for clinical tasks and using mutations integrated with multi-omics data to better predict cancer phenotypes. We examine the use of these tools for either discovery or prediction, including prediction of tumor origin, treatment outcomes, prognosis, and cancer typing. We further discuss the main limitations preventing widespread clinical integration of computational tools for the diagnosis and treatment of cancer. We end by proposing solutions to address these challenges using recent advances in machine learning.
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Affiliation(s)
- Andrew Patterson
- Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- The Wistar Institute, Philadelphia, PA 19104, USA
| | | | - Bin Tian
- The Wistar Institute, Philadelphia, PA 19104, USA
| | - Noam Auslander
- The Wistar Institute, Philadelphia, PA 19104, USA
- Department of Cancer Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
- Correspondence:
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49
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Xie Z, Zeidan AM. CHIPing away the progression potential of CHIP: A new reality in the making. Blood Rev 2023; 58:101001. [PMID: 35989137 DOI: 10.1016/j.blre.2022.101001] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 11/15/2022]
Abstract
Over the past few years, we have gained a deeper understanding of clonal hematopoiesis of indeterminate potential (CHIP), especially with regard to the epidemiology, clinical sequelae, and mechanical aspects. However, interventional strategies to prevent or delay the potential negative consequences of CHIP remain underdeveloped. In this review, we highlight the latest updates on clonal hematopoiesis research, including molecular mechanisms and clinical implications, with a particular focus on the evolving strategies for the interventions that are being evaluated in ongoing observational and interventional trials. There remains an urgent need to formulate standardized and evidence-based recommendations and guidelines for evaluating and managing individuals with clonal hematopoiesis. In addition, patient-centric endpoints must be defined for clinical trials, which will enable us to continue the robust development of effective preventive strategies and improve clinical outcomes.
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Affiliation(s)
- Zhuoer Xie
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Amer M Zeidan
- Section of Hematology, Department of Internal Medicine, Yale Cancer Center and Smilow Cancer Hospital, Yale University School of Medicine, CT, United States.
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50
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Jahn J, Diamond B, Hsu J, Montoya S, Totiger TM, Landgren O, Maura F, Taylor J. Therapy-selected clonal hematopoiesis and its role in myeloid neoplasms. Leuk Res 2023; 126:107020. [PMID: 36696829 DOI: 10.1016/j.leukres.2023.107020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/06/2023] [Accepted: 01/19/2023] [Indexed: 01/21/2023]
Abstract
Therapy-related myeloid neoplasms (t-MN) account for approximately 10-15% of all myeloid neoplasms and are associated with poor prognosis. Genomic characterization of t-MN to date has been limited in comparison to the considerable sequencing efforts performed for de novo myeloid neoplasms. Until recently, targeted deep sequencing (TDS) or whole exome sequencing (WES) have been the primary technologies utilized and thus limited the ability to explore the landscape of structural variants and mutational signatures. In the past decade, population-level studies have identified clonal hematopoiesis as a risk factor for the development of myeloid neoplasms. However, emerging research on clonal hematopoiesis as a risk factor for developing t-MN is evolving, and much is unknown about the progression of CH to t-MN. In this work, we will review the current knowledge of the genomic landscape of t-MN, discuss background knowledge of clonal hematopoiesis gained from studies of de novo myeloid neoplasms, and examine the recent literature studying the role of therapeutic selection of CH and its evolution under the effects of antineoplastic therapy. Finally, we will discuss the potential implications on current clinical practice and the areas of focus needed for future research into therapy-selected clonal hematopoiesis in myeloid neoplasms.
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Affiliation(s)
- Jacob Jahn
- Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, United States
| | - Benjamin Diamond
- Myeloma Division, Department of Medicine, University of Miami Miller School of Medicine, United States
| | - Jeffrey Hsu
- Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, United States
| | - Skye Montoya
- Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, United States
| | - Tulasigeri M Totiger
- Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, United States
| | - Ola Landgren
- Myeloma Division, Department of Medicine, University of Miami Miller School of Medicine, United States
| | - Francesco Maura
- Myeloma Division, Department of Medicine, University of Miami Miller School of Medicine, United States
| | - Justin Taylor
- Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, United States; Leukemia Program, Department of Medicine, University of Miami Miller School of Medicine, United States.
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