1
|
Lu J, Liu H, Wang B, Chen C, Bai F, Su X, Duan P. Niraparib plays synergistic antitumor effects with NRT in a mouse ovarian cancer model with HRP. Transl Oncol 2024; 49:102094. [PMID: 39163760 PMCID: PMC11380394 DOI: 10.1016/j.tranon.2024.102094] [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: 04/24/2024] [Revised: 07/22/2024] [Accepted: 08/11/2024] [Indexed: 08/22/2024] Open
Abstract
OBJECTIVE PARPi offers less clinical benefit for HRP patients compared to HRD patients. PARPi has an immunomodulatory function. NRT therapy targets tumor neoantigens without off-target immune toxicity. We explored the synergy between Niraparib and NRT in enhancing antitumor activity in an HRP ovarian cancer mouse model. METHODS In the C57BL/6 mouse ID8 ovarian cancer model, the effect of Niraparib on reshaping TIME was evaluated by immune cell infiltration analysis of transcriptomic data. The antitumor effects of Niraparib, NRT, and their combined use were systematically evaluated. To corroborate alterations in TILs, TAMs, and chemokine profiles within the TIME, we employed immunofluorescence imaging and transcriptome sequencing analysis. RESULTS Niraparib increased the M1-TAMs and activated CD8+ T cells in tumor tissues of C57BL/6 mice with ID8 ovarian cancer. GSEA showed that gene set associated with immature DC and INFα, cytokines and chemokines were significantly enriched in immune feature, KEGG and GO gene sets, meanwhile CCL5, CXCL9 and CXCL10 play dominant roles together. In the animal trials, combined group had a tumor growth delay compared with Niraparib group (P < 0.01) and control group (P < 0.001), and longer survival compared with the single agent group (P<0.01) . CONCLUSIONS Niraparib could exert immune-reshaping effects, then acts synergistic antitumor effects with NRT in HRP ovarian cancer model. Our findings provide new ideas and rationale for combined immunotherapy in HRP ovarian cancer.
Collapse
Affiliation(s)
- Jiefang Lu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, China; Department of Obstetrics and Gynecology, Lishui People's Hospital, China; Department of Obstetrics and Gynecology, The First Affiliated Hospital of Lishui College, China
| | - Haiying Liu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, China; Department of Obstetrics and Gynecology, Lishui People's Hospital, China
| | - Binming Wang
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, China
| | - Chengcheng Chen
- Department of Gastrointestinal Surgery, The Second Afliated Hospital of Wenzhou Medical University, China
| | - Fumao Bai
- Department of clinical laboratory, The First Affiliated Hospital of Wenzhou Medical University, China
| | - Xiaoping Su
- School of Basic Medicine, Wenzhou Medical University, China; Department of Gastrointestinal Surgery, The Second Afliated Hospital of Wenzhou Medical University, China.
| | - Ping Duan
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, China; Oncology Discipline Group, The Second Affiliated Hospital of Wenzhou Medical University, China.
| |
Collapse
|
2
|
Yeh CY, Aguirre K, Laveroni O, Kim S, Wang A, Liang B, Zhang X, Han LM, Valbuena R, Bassik MC, Kim YM, Plevritis SK, Snyder MP, Howitt BE, Jerby L. Mapping spatial organization and genetic cell-state regulators to target immune evasion in ovarian cancer. Nat Immunol 2024; 25:1943-1958. [PMID: 39179931 PMCID: PMC11436371 DOI: 10.1038/s41590-024-01943-5] [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: 10/04/2023] [Accepted: 07/25/2024] [Indexed: 08/26/2024]
Abstract
The drivers of immune evasion are not entirely clear, limiting the success of cancer immunotherapies. Here we applied single-cell spatial and perturbational transcriptomics to delineate immune evasion in high-grade serous tubo-ovarian cancer. To this end, we first mapped the spatial organization of high-grade serous tubo-ovarian cancer by profiling more than 2.5 million cells in situ in 130 tumors from 94 patients. This revealed a malignant cell state that reflects tumor genetics and is predictive of T cell and natural killer cell infiltration levels and response to immune checkpoint blockade. We then performed Perturb-seq screens and identified genetic perturbations-including knockout of PTPN1 and ACTR8-that trigger this malignant cell state. Finally, we show that these perturbations, as well as a PTPN1/PTPN2 inhibitor, sensitize ovarian cancer cells to T cell and natural killer cell cytotoxicity, as predicted. This study thus identifies ways to study and target immune evasion by linking genetic variation, cell-state regulators and spatial biology.
Collapse
Grants
- P30 CA124435 NCI NIH HHS
- U01 HG012069 NHGRI NIH HHS
- L.J. holds a Career Award at the Scientific Interface from the Burroughs Wellcome Fund (BWF) and a Liz Tilberis Early Career Award from the Ovarian Cancer Research Alliance (OCRA). This study was supported by the BWF (1019508.01; L.J.), National Human Genome Research Institute (NHGRI, U01HG012069; L.J.), OCRA (889076; L.J), Under One Umbrella, Stanford Women’s Cancer Center, Stanford Cancer Institute, a National Cancer Institute (NCI)-designated Comprehensive Cancer Center (251217; B.E.H., L.J.), as well as funds from the Departments of Genetics (L.J.) at Stanford University and from the Chan Zuckerberg Biohub (L.J.).
- This study was partially supported by the Stanford Women’s Cancer Center (251217; B.E.H., L.J.), and an NCI Center Support Grant (P30CA124435; B.E.H.), as well as funds from the Departments of Pathology (B.E.H.).
Collapse
Affiliation(s)
- Christine Yiwen Yeh
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Karmen Aguirre
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Biology Program, Stanford University, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Olivia Laveroni
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Subin Kim
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Aihui Wang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Brooke Liang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiaoming Zhang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Lucy M Han
- Department of Pathology, California Pacific Medical Center, San Francisco, CA, USA
| | - Raeline Valbuena
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael C Bassik
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Young-Min Kim
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Sylvia K Plevritis
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael P Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Brooke E Howitt
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
| | - Livnat Jerby
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
| |
Collapse
|
3
|
Chap BS, Rayroux N, Grimm AJ, Ghisoni E, Dangaj Laniti D. Crosstalk of T cells within the ovarian cancer microenvironment. Trends Cancer 2024:S2405-8033(24)00190-0. [PMID: 39341696 DOI: 10.1016/j.trecan.2024.09.001] [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: 06/28/2024] [Revised: 09/02/2024] [Accepted: 09/03/2024] [Indexed: 10/01/2024]
Abstract
Ovarian cancer (OC) represents ecosystems of highly diverse tumor microenvironments (TMEs). The presence of tumor-infiltrating lymphocytes (TILs) is linked to enhanced immune responses and long-term survival. In this review we present emerging evidence suggesting that cellular crosstalk tightly regulates the distribution of TILs within the TME, underscoring the need to better understand key cellular networks that promote or impede T cell infiltration in OC. We also capture the emergent methodologies and computational techniques that enable the dissection of cell-cell crosstalk. Finally, we present innovative ex vivo TME models that can be leveraged to map and perturb cellular communications to enhance T cell infiltration and immune reactivity.
Collapse
Affiliation(s)
- Bovannak S Chap
- Department of Oncology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne (UNIL), Lausanne, Switzerland; Agora Cancer Research Center, Lausanne, Switzerland
| | - Nicolas Rayroux
- Department of Oncology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne (UNIL), Lausanne, Switzerland; Agora Cancer Research Center, Lausanne, Switzerland
| | - Alizée J Grimm
- Department of Oncology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne (UNIL), Lausanne, Switzerland; Agora Cancer Research Center, Lausanne, Switzerland
| | - Eleonora Ghisoni
- Department of Oncology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne (UNIL), Lausanne, Switzerland; Agora Cancer Research Center, Lausanne, Switzerland
| | - Denarda Dangaj Laniti
- Department of Oncology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland; Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne (UNIL), Lausanne, Switzerland; Agora Cancer Research Center, Lausanne, Switzerland.
| |
Collapse
|
4
|
Lin Y, Chen J, Xin S, Lin Y, Chen Y, Zhou X, Chen H, Li X. CYP24A1 affected macrophage polarization through degradation of vitamin D as a candidate biomarker for ovarian cancer prognosis. Int Immunopharmacol 2024; 138:112575. [PMID: 38963981 DOI: 10.1016/j.intimp.2024.112575] [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: 04/02/2024] [Revised: 06/21/2024] [Accepted: 06/25/2024] [Indexed: 07/06/2024]
Abstract
Ovarian cancer (OC) is a fatal gynecological malignancy with a poor prognosis in which mitochondria-related genes are involved deeply. In this study, we aim to screen mitochondria-related genes that play a role in OC prognosis and investigate its effects. Through single-cell sequencing technology and bioinformatics analysis, including TCGA ovarian cancer data analysis, gene expression signature analysis (GES), immune infiltration analysis, Gene Ontology (GO) enrichment analysis, Gene Set Enrichment Analysis (GSEA), and Principal Component Analysis (PCA), our findings revealed that CYP24A1 regulated macrophage polarization through vitamin D (VD) degradation and served as a target gene for the second malignant subtype of OC through bioinformatics analyses. For further validation, the expression and function of CYP24A1 in OC cells was investigated. And the expression of CYP24A1 was much higher in carcinoma than in paracancerous tissue, whereas the VD content decreased in the OC cell lines with CYP24A1 overexpression. Moreover, macrophages were polarized towards M1 after the intervention of VD-treated OC cell lines and inhibited the malignant phenotypes of OC. However, the effect could be reversed by overexpressing CYP24A1, resulting in the polarization of M2 macrophages, thereby promoting tumor progression, as verified by constructing xenograft models in vitro. In conclusion, our findings suggested that CYP24A1 induced M2 macrophage polarization through interaction with VD, thus promoting the malignant progression of OC.
Collapse
Affiliation(s)
- YaoXiang Lin
- Hangzhou Normal University, Hangzhou, Zhejiang 311121, People's Republic of China
| | - JiongFei Chen
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, People's Republic of China
| | - SiJia Xin
- Hangzhou Normal University, Hangzhou, Zhejiang 311121, People's Republic of China
| | - Ya Lin
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, People's Republic of China
| | - YongChao Chen
- Hangzhou Normal University, Hangzhou, Zhejiang 311121, People's Republic of China
| | - Xiaojing Zhou
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, People's Republic of China
| | - Hao Chen
- Department of Pathology, Hangzhou Women's Hospital, Hangzhou, Zhejiang 310008, People's Republic of China.
| | - XiangJuan Li
- Hangzhou Women's Hospital, Hangzhou, Zhejiang 310008, People's Republic of China.
| |
Collapse
|
5
|
Ghisoni E, Morotti M, Sarivalasis A, Grimm AJ, Kandalaft L, Laniti DD, Coukos G. Immunotherapy for ovarian cancer: towards a tailored immunophenotype-based approach. Nat Rev Clin Oncol 2024:10.1038/s41571-024-00937-4. [PMID: 39232212 DOI: 10.1038/s41571-024-00937-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/12/2024] [Indexed: 09/06/2024]
Abstract
Despite documented evidence that ovarian cancer cells express immune-checkpoint molecules, such as PD-1 and PD-L1, and of a positive correlation between the presence of tumour-infiltrating lymphocytes and favourable overall survival outcomes in patients with this tumour type, the results of trials testing immune-checkpoint inhibitors (ICIs) in these patients thus far have been disappointing. The lack of response to ICIs can be attributed to tumour heterogeneity as well as inherent or acquired resistance associated with the tumour microenvironment (TME). Understanding tumour immunobiology, discovering biomarkers for patient selection and establishing optimal treatment combinations remains the hope but also a key challenge for the future application of immunotherapy in ovarian cancer. In this Review, we summarize results from trials testing ICIs in patients with ovarian cancer. We propose the implementation of a systematic CD8+ T cell-based immunophenotypic classification of this malignancy, followed by discussions of the preclinical data providing the basis to treat such immunophenotypes with combination immunotherapies. We posit that the integration of an accurate TME immunophenotype characterization with genetic data can enable the design of tailored therapeutic approaches and improve patient recruitment in clinical trials. Lastly, we propose a roadmap incorporating tissue-based profiling to guide future trials testing adoptive cell therapy approaches and assess novel immunotherapy combinations while promoting collaborative research.
Collapse
Affiliation(s)
- Eleonora Ghisoni
- Department of Oncology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne (UNIL), Lausanne, Switzerland
- Agora Cancer Research Center, Lausanne, Switzerland
| | - Matteo Morotti
- Department of Oncology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne (UNIL), Lausanne, Switzerland
- Agora Cancer Research Center, Lausanne, Switzerland
| | - Apostolos Sarivalasis
- Department of Oncology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Alizée J Grimm
- Department of Oncology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne (UNIL), Lausanne, Switzerland
- Agora Cancer Research Center, Lausanne, Switzerland
| | - Lana Kandalaft
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne (UNIL), Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Denarda Dangaj Laniti
- Department of Oncology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne (UNIL), Lausanne, Switzerland
- Agora Cancer Research Center, Lausanne, Switzerland
| | - George Coukos
- Department of Oncology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne (UNIL), Lausanne, Switzerland.
- Agora Cancer Research Center, Lausanne, Switzerland.
| |
Collapse
|
6
|
Fernandez-Mateos J, Cresswell GD, Trahearn N, Webb K, Sakr C, Lampis A, Stuttle C, Corbishley CM, Stavrinides V, Zapata L, Spiteri I, Heide T, Gallagher L, James C, Ramazzotti D, Gao A, Kote-Jarai Z, Acar A, Truelove L, Proszek P, Murray J, Reid A, Wilkins A, Hubank M, Eeles R, Dearnaley D, Sottoriva A. Tumor evolution metrics predict recurrence beyond 10 years in locally advanced prostate cancer. NATURE CANCER 2024; 5:1334-1351. [PMID: 38997466 PMCID: PMC11424488 DOI: 10.1038/s43018-024-00787-0] [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: 09/13/2023] [Accepted: 05/23/2024] [Indexed: 07/14/2024]
Abstract
Cancer evolution lays the groundwork for predictive oncology. Testing evolutionary metrics requires quantitative measurements in controlled clinical trials. We mapped genomic intratumor heterogeneity in locally advanced prostate cancer using 642 samples from 114 individuals enrolled in clinical trials with a 12-year median follow-up. We concomitantly assessed morphological heterogeneity using deep learning in 1,923 histological sections from 250 individuals. Genetic and morphological (Gleason) diversity were independent predictors of recurrence (hazard ratio (HR) = 3.12 and 95% confidence interval (95% CI) = 1.34-7.3; HR = 2.24 and 95% CI = 1.28-3.92). Combined, they identified a group with half the median time to recurrence. Spatial segregation of clones was also an independent marker of recurrence (HR = 2.3 and 95% CI = 1.11-4.8). We identified copy number changes associated with Gleason grade and found that chromosome 6p loss correlated with reduced immune infiltration. Matched profiling of relapse, decades after diagnosis, confirmed that genomic instability is a driving force in prostate cancer progression. This study shows that combining genomics with artificial intelligence-aided histopathology leads to the identification of clinical biomarkers of evolution.
Collapse
Affiliation(s)
- Javier Fernandez-Mateos
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - George D Cresswell
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- St. Anna Children's Cancer Research Institute, Vienna, Austria
| | - Nicholas Trahearn
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Katharine Webb
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- The Royal Marsden NHS Foundation Trust, London, UK
| | - Chirine Sakr
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Andrea Lampis
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Christine Stuttle
- The Royal Marsden NHS Foundation Trust, London, UK
- Oncogenetics Team, The Institute of Cancer Research, London, UK
| | - Catherine M Corbishley
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
- St. George's Hospital Healthcare NHS Trust, London, UK
| | | | - Luis Zapata
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Inmaculada Spiteri
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Timon Heide
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Lewis Gallagher
- Molecular Pathology Section, The Institute of Cancer Research, London, UK
- Clinical Genomics, The Royal Marsden NHS Foundation, London, UK
| | - Chela James
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | | | - Annie Gao
- Bob Champion Cancer Unit, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK
| | | | - Ahmet Acar
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Lesley Truelove
- Bob Champion Cancer Unit, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK
| | - Paula Proszek
- Molecular Pathology Section, The Institute of Cancer Research, London, UK
- Clinical Genomics, The Royal Marsden NHS Foundation, London, UK
| | - Julia Murray
- The Royal Marsden NHS Foundation Trust, London, UK
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
| | - Alison Reid
- The Royal Marsden NHS Foundation Trust, London, UK
| | - Anna Wilkins
- The Royal Marsden NHS Foundation Trust, London, UK
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
| | - Michael Hubank
- Molecular Pathology Section, The Institute of Cancer Research, London, UK
- Clinical Genomics, The Royal Marsden NHS Foundation, London, UK
| | - Ros Eeles
- The Royal Marsden NHS Foundation Trust, London, UK
- Oncogenetics Team, The Institute of Cancer Research, London, UK
| | - David Dearnaley
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
- Academic Urology Unit, The Royal Marsden NHS Foundation Trust, London, UK.
| | - Andrea Sottoriva
- Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
- Computational Biology Research Centre, Human Technopole, Milan, Italy.
| |
Collapse
|
7
|
Aronson SL, Walker C, Thijssen B, van de Vijver KK, Horlings HM, Sanders J, Alkemade M, Koole SN, Lopez-Yurda M, Lok CAR, Rottenberg S, van Rheenen J, Sonke GS, van Driel WJ, Kester LA, Hahn K. Tumour microenvironment characterisation to stratify patients for hyperthermic intraperitoneal chemotherapy in high-grade serous ovarian cancer (OVHIPEC-1). Br J Cancer 2024; 131:565-576. [PMID: 38866963 PMCID: PMC11300911 DOI: 10.1038/s41416-024-02731-6] [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: 12/19/2023] [Revised: 05/14/2024] [Accepted: 05/17/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Hyperthermic intraperitoneal chemotherapy (HIPEC) improves survival in patients with Stage III ovarian cancer following interval cytoreductive surgery (CRS). Optimising patient selection is essential to maximise treatment efficacy and avoid overtreatment. This study aimed to identify biomarkers that predict HIPEC benefit by analysing gene signatures and cellular composition of tumours from participants in the OVHIPEC-1 trial. METHODS Whole-transcriptome RNA sequencing data were retrieved from high-grade serous ovarian cancer (HGSOC) samples from 147 patients obtained during interval CRS. We performed differential gene expression analysis and applied deconvolution methods to estimate cell-type proportions in bulk mRNA data, validated by histological assessment. We tested the interaction between treatment and potential predictors on progression-free survival using Cox proportional hazards models. RESULTS While differential gene expression analysis did not yield any predictive biomarkers, the cellular composition, as characterised by deconvolution, indicated that the absence of macrophages and the presence of B cells in the tumour microenvironment are potential predictors of HIPEC benefit. The histological assessment confirmed the predictive value of macrophage absence. CONCLUSION Immune cell composition, in particular macrophages absence, may predict response to HIPEC in HGSOC and these hypothesis-generating findings warrant further investigation. CLINICAL TRIAL REGISTRATION NCT00426257.
Collapse
Affiliation(s)
- S Lot Aronson
- Center for Gynecologic Oncology Amsterdam, Department of Gynecologic Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Cédric Walker
- Institute of Animal Pathology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
| | - Bram Thijssen
- Division of Molecular Carcinogenesis, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Koen K van de Vijver
- Center for Gynecologic Oncology Amsterdam, Department of Gynecologic Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Pathology & Cancer Research Institute Ghent (CRIG), Ghent University Hospital, Ghent, Belgium
| | - Hugo M Horlings
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Joyce Sanders
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Maartje Alkemade
- Core Facility Molecular Pathology and Biobanking, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Simone N Koole
- Center for Gynecologic Oncology Amsterdam, Department of Gynecologic Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Marta Lopez-Yurda
- Department of Biometrics, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Christianne A R Lok
- Center for Gynecologic Oncology Amsterdam, Department of Gynecologic Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Sven Rottenberg
- Institute of Animal Pathology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- Bern Center for Precision Medicine, University of Bern, Bern, Switzerland
| | - Jacco van Rheenen
- Department of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Gabe S Sonke
- Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Willemien J van Driel
- Center for Gynecologic Oncology Amsterdam, Department of Gynecologic Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Lennart A Kester
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Kerstin Hahn
- Department of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| |
Collapse
|
8
|
Burdett NL, Willis MO, Pandey A, Twomey L, Alaei S, Bowtell DDL, Christie EL. Timing of whole genome duplication is associated with tumor-specific MHC-II depletion in serous ovarian cancer. Nat Commun 2024; 15:6069. [PMID: 39025846 PMCID: PMC11258338 DOI: 10.1038/s41467-024-50137-y] [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: 11/08/2023] [Accepted: 07/02/2024] [Indexed: 07/20/2024] Open
Abstract
Whole genome duplication is frequently observed in cancer, and its prevalence in our prior analysis of end-stage, homologous recombination deficient high grade serous ovarian cancer (almost 80% of samples) supports the notion that whole genome duplication provides a fitness advantage under the selection pressure of therapy. Here, we therefore aim to identify potential therapeutic vulnerabilities in primary high grade serous ovarian cancer with whole genome duplication by assessing differentially expressed genes and pathways in 79 samples. We observe that MHC-II expression is lowest in tumors which have acquired whole genome duplication early in tumor evolution, and further demonstrate that reduced MHC-II expression occurs in subsets of tumor cells rather than in canonical antigen-presenting cells. Early whole genome duplication is also associated with worse patient survival outcomes. Our results suggest an association between the timing of whole genome duplication, MHC-II expression and clinical outcome in high grade serous ovarian cancer that warrants further investigation for therapeutic targeting.
Collapse
Affiliation(s)
- Nikki L Burdett
- Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, 3010, Australia
- Box Hill Hospital, Eastern Health, Box Hill, VIC, 3128, Australia
| | | | - Ahwan Pandey
- Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
| | - Laura Twomey
- Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
| | - Sara Alaei
- Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Australian Regenerative Medicine Institute, Monash University, Clayton, VIC, 3168, Australia
| | - David D L Bowtell
- Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Elizabeth L Christie
- Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia.
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, 3010, Australia.
| |
Collapse
|
9
|
Mateiou C, Lokhande L, Diep LH, Knulst M, Carlsson E, Ek S, Sundfeldt K, Gerdtsson A. Spatial tumor immune microenvironment phenotypes in ovarian cancer. NPJ Precis Oncol 2024; 8:148. [PMID: 39026018 PMCID: PMC11258306 DOI: 10.1038/s41698-024-00640-8] [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: 12/04/2023] [Accepted: 07/09/2024] [Indexed: 07/20/2024] Open
Abstract
Immunotherapy has largely failed in ovarian carcinoma (OC), likely due to that the vast tumor heterogeneity and variation in immune response have hampered clinical trial outcomes. Tumor-immune microenvironment (TIME) profiling may aid in stratification of OC tumors for guiding treatment selection. Here, we used Digital Spatial Profiling combined with image analysis to characterize regions of spatially distinct TIME phenotypes in OC to assess whether immune infiltration pattern can predict presence of immuno-oncology targets. Tumors with diffuse immune infiltration and increased tumor-immune spatial interactions had higher presence of IDO1, PD-L1, PD-1 and Tim-3, while focal immune niches had more CD163 macrophages and a preliminary worse outcome. Immune exclusion was associated with presence of Tregs and Fibronectin. High-grade serous OC showed an overall stronger immune response and presence of multiple targetable checkpoints. Low-grade serous OC was associated with diffuse infiltration and a high expression of STING, while endometrioid OC had higher presence of CTLA-4. Mucinous and clear cell OC were dominated by focal immune clusters and immune-excluded regions, with mucinous tumors displaying T-cell rich immune niches.
Collapse
Affiliation(s)
- Claudia Mateiou
- Department of Pathology and Cytology, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | | | - Lan Hoa Diep
- Department of Immunotechnology, Lund University, Lund, Sweden
| | - Mattis Knulst
- Department of Immunotechnology, Lund University, Lund, Sweden
| | - Elias Carlsson
- Department of Immunotechnology, Lund University, Lund, Sweden
| | - Sara Ek
- Department of Immunotechnology, Lund University, Lund, Sweden
| | - Karin Sundfeldt
- Department of Obstetrics and Gynecology, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Anna Gerdtsson
- Department of Immunotechnology, Lund University, Lund, Sweden.
| |
Collapse
|
10
|
Guasp P, Reiche C, Sethna Z, Balachandran VP. RNA vaccines for cancer: Principles to practice. Cancer Cell 2024; 42:1163-1184. [PMID: 38848720 DOI: 10.1016/j.ccell.2024.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/29/2024] [Accepted: 05/06/2024] [Indexed: 06/09/2024]
Abstract
Vaccines are the most impactful medicines to improve health. Though potent against pathogens, vaccines for cancer remain an unfulfilled promise. However, recent advances in RNA technology coupled with scientific and clinical breakthroughs have spurred rapid discovery and potent delivery of tumor antigens at speed and scale, transforming cancer vaccines into a tantalizing prospect. Yet, despite being at a pivotal juncture, with several randomized clinical trials maturing in upcoming years, several critical questions remain: which antigens, tumors, platforms, and hosts can trigger potent immunity with clinical impact? Here, we address these questions with a principled framework of cancer vaccination from antigen detection to delivery. With this framework, we outline features of emergent RNA technology that enable rapid, robust, real-time vaccination with somatic mutation-derived neoantigens-an emerging "ideal" antigen class-and highlight latent features that have sparked the belief that RNA could realize the enduring vision for vaccines against cancer.
Collapse
Affiliation(s)
- Pablo Guasp
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Charlotte Reiche
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zachary Sethna
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Vinod P Balachandran
- Immuno-Oncology Service, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| |
Collapse
|
11
|
Hamada K, Murakami R, Ueda A, Kashima Y, Miyagawa C, Taki M, Yamanoi K, Yamaguchi K, Hamanishi J, Minamiguchi S, Matsumura N, Mandai M. A Deep Learning-Based Assessment Pipeline for Intraepithelial and Stromal Tumor-Infiltrating Lymphocytes in High-Grade Serous Ovarian Carcinoma. THE AMERICAN JOURNAL OF PATHOLOGY 2024; 194:1272-1284. [PMID: 38537936 DOI: 10.1016/j.ajpath.2024.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 01/22/2024] [Accepted: 02/21/2024] [Indexed: 04/07/2024]
Abstract
Tumor-infiltrating lymphocytes (TILs) are associated with improved survival in patients with epithelial ovarian cancer. However, TIL evaluation has not been used in routine clinical practice because of reproducibility issues. The current study developed two convolutional neural network models to detect TILs and to determine their spatial location in whole slide images, and established a spatial assessment pipeline to objectively quantify intraepithelial and stromal TILs in patients with high-grade serous ovarian carcinoma. The predictions of the established models showed a significant positive correlation with the number of CD8+ T cells and immune gene expressions. Patients with a higher density of intraepithelial TILs had a significantly prolonged overall survival and progression-free survival in multiple cohorts. On the basis of the density of intraepithelial and stromal TILs, patients were classified into three immunophenotypes: immune inflamed, excluded, and desert. The immune-desert subgroup showed the worst prognosis. Gene expression analysis showed that the immune-desert subgroup had lower immune cytolytic activity and T-cell-inflamed gene-expression profile scores, whereas the immune-excluded subgroup had higher expression of interferon-γ and programmed death 1 receptor signaling pathway. The established evaluation method provided detailed and comprehensive quantification of intraepithelial and stromal TILs throughout hematoxylin and eosin-stained slides. It has potential for clinical application for personalized treatment of patients with ovarian cancer.
Collapse
Affiliation(s)
- Kohei Hamada
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Ryusuke Murakami
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Akihiko Ueda
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yoko Kashima
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Chiho Miyagawa
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Mana Taki
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Koji Yamanoi
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Ken Yamaguchi
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Junzo Hamanishi
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Sachiko Minamiguchi
- Department of Diagnostic Pathology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Noriomi Matsumura
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Masaki Mandai
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| |
Collapse
|
12
|
Balan D, Kampan NC, Plebanski M, Abd Aziz NH. Unlocking ovarian cancer heterogeneity: advancing immunotherapy through single-cell transcriptomics. Front Oncol 2024; 14:1388663. [PMID: 38873253 PMCID: PMC11169633 DOI: 10.3389/fonc.2024.1388663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 05/15/2024] [Indexed: 06/15/2024] Open
Abstract
Ovarian cancer, a highly fatal gynecological cancer, warrants the need for understanding its heterogeneity. The disease's prevalence and impact are underscored with statistics on mortality rates. Ovarian cancer is categorized into distinct morphological groups, each with its characteristics and prognosis. Despite standard treatments, survival rates remain low due to relapses and chemoresistance. Immune system involvement is evident in ovarian cancer's progression, although the tumor employs immune evasion mechanisms. Immunotherapy, particularly immune checkpoint blockade therapy, is promising, but ovarian cancer's heterogeneity limits its efficacy. Single-cell sequencing technology could be explored as a solution to dissect the heterogeneity within tumor-associated immune cell populations and tumor microenvironments. This cutting-edge technology has the potential to enhance diagnosis, prognosis, and personalized immunotherapy in ovarian cancer, reflecting its broader application in cancer research. The present review focuses on recent advancements and the challenges in applying single-cell transcriptomics to ovarian cancer.
Collapse
Affiliation(s)
- Dharvind Balan
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Nirmala Chandralega Kampan
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Magdalena Plebanski
- School of Health and Biomedical Sciences, RMIT University, Bundoora, VIC, Australia
| | - Nor Haslinda Abd Aziz
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| |
Collapse
|
13
|
Miranda A, Pattnaik S, Hamilton PT, Fuss MA, Kalaria S, Laumont CM, Smazynski J, Mesa M, Banville A, Jiang X, Jenkins R, Cañadas I, Nelson BH. N-MYC impairs innate immune signaling in high-grade serous ovarian carcinoma. SCIENCE ADVANCES 2024; 10:eadj5428. [PMID: 38748789 PMCID: PMC11095474 DOI: 10.1126/sciadv.adj5428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 04/15/2024] [Indexed: 05/19/2024]
Abstract
High-grade serous ovarian cancer (HGSC) is a challenging disease, especially for patients with immunologically "cold" tumors devoid of tumor-infiltrating lymphocytes (TILs). We found that HGSC exhibits among the highest levels of MYCN expression and transcriptional signature across human cancers, which is strongly linked to diminished features of antitumor immunity. N-MYC repressed basal and induced IFN type I signaling in HGSC cell lines, leading to decreased chemokine expression and T cell chemoattraction. N-MYC inhibited the induction of IFN type I by suppressing tumor cell-intrinsic STING signaling via reduced STING oligomerization, and by blunting RIG-I-like receptor signaling through inhibition of MAVS aggregation and localization in the mitochondria. Single-cell RNA sequencing of human clinical HGSC samples revealed a strong negative association between cancer cell-intrinsic MYCN transcriptional program and type I IFN signaling. Thus, N-MYC inhibits tumor cell-intrinsic innate immune signaling in HGSC, making it a compelling target for immunotherapy of cold tumors.
Collapse
Affiliation(s)
- Alex Miranda
- Deeley Research Centre, BC Cancer, Victoria, BC V8R 6V5, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Swetansu Pattnaik
- The Kinghorn Cancer Centre and Cancer Division, Garvan Institute of Medical Research, 370 Victoria St, Darlinghurst, NSW, Australia
| | - Phineas T. Hamilton
- Deeley Research Centre, BC Cancer, Victoria, BC V8R 6V5, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | | | - Shreena Kalaria
- Deeley Research Centre, BC Cancer, Victoria, BC V8R 6V5, Canada
| | - Céline M. Laumont
- Deeley Research Centre, BC Cancer, Victoria, BC V8R 6V5, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | | | - Monica Mesa
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC V8P 3E6, Canada
| | - Allyson Banville
- Deeley Research Centre, BC Cancer, Victoria, BC V8R 6V5, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Xinpei Jiang
- Nuclear Dynamics and Cancer Program, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Russell Jenkins
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Israel Cañadas
- Nuclear Dynamics and Cancer Program, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Brad H. Nelson
- Deeley Research Centre, BC Cancer, Victoria, BC V8R 6V5, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC V8P 3E6, Canada
| |
Collapse
|
14
|
Gao Y, Dong K, Gao Y, Jin X, Yang J, Yan G, Liu Q. Unified cross-modality integration and analysis of T cell receptors and T cell transcriptomes by low-resource-aware representation learning. CELL GENOMICS 2024; 4:100553. [PMID: 38688285 PMCID: PMC11099349 DOI: 10.1016/j.xgen.2024.100553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 03/09/2024] [Accepted: 04/06/2024] [Indexed: 05/02/2024]
Abstract
Single-cell RNA sequencing (scRNA-seq) and T cell receptor sequencing (TCR-seq) are pivotal for investigating T cell heterogeneity. Integrating these modalities, which is expected to uncover profound insights in immunology that might otherwise go unnoticed with a single modality, faces computational challenges due to the low-resource characteristics of the multimodal data. Herein, we present UniTCR, a novel low-resource-aware multimodal representation learning framework designed for the unified cross-modality integration, enabling comprehensive T cell analysis. By designing a dual-modality contrastive learning module and a single-modality preservation module to effectively embed each modality into a common latent space, UniTCR demonstrates versatility in connecting TCR sequences with T cell transcriptomes across various tasks, including single-modality analysis, modality gap analysis, epitope-TCR binding prediction, and TCR profile cross-modality generation, in a low-resource-aware way. Extensive evaluations conducted on multiple scRNA-seq/TCR-seq paired datasets showed the superior performance of UniTCR, exhibiting the ability of exploring the complexity of immune system.
Collapse
Affiliation(s)
- Yicheng Gao
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Tongji Hospital, School of Medicine, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Kejing Dong
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Tongji Hospital, School of Medicine, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Yuli Gao
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Tongji Hospital, School of Medicine, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Xuan Jin
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Tongji Hospital, School of Medicine, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Jingya Yang
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai 201804, China
| | - Gang Yan
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai 201804, China.
| | - Qi Liu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Tongji Hospital, School of Medicine, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai 201804, China; Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou 311121, China.
| |
Collapse
|
15
|
Xu AM, Haro M, Walts AE, Hu Y, John J, Karlan BY, Merchant A, Orsulic S. Spatiotemporal architecture of immune cells and cancer-associated fibroblasts in high-grade serous ovarian carcinoma. SCIENCE ADVANCES 2024; 10:eadk8805. [PMID: 38630822 PMCID: PMC11023532 DOI: 10.1126/sciadv.adk8805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 03/15/2024] [Indexed: 04/19/2024]
Abstract
High-grade serous ovarian carcinoma (HGSOC), the deadliest form of ovarian cancer, is typically diagnosed after it has metastasized and often relapses after standard-of-care platinum-based chemotherapy, likely due to advanced tumor stage, heterogeneity, and immune evasion and tumor-promoting signaling from the tumor microenvironment. To understand how spatial heterogeneity contributes to HGSOC progression and early relapse, we profiled an HGSOC tissue microarray of patient-matched longitudinal samples from 42 patients. We found spatial patterns associated with early relapse, including changes in T cell localization, malformed tertiary lymphoid structure (TLS)-like aggregates, and increased podoplanin-positive cancer-associated fibroblasts (CAFs). Using spatial features to compartmentalize the tissue, we found that plasma cells distribute in two different compartments associated with TLS-like aggregates and CAFs, and these distinct microenvironments may account for the conflicting reports about the role of plasma cells in HGSOC prognosis.
Collapse
Affiliation(s)
- Alexander M. Xu
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Division of Hematology and Cellular Therapy, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Marcela Haro
- Department of Obstetrics and Gynecology and Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Ann E. Walts
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Ye Hu
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Joshi John
- Department of Veterans Affairs, Greater Los Angeles Healthcare System, Los Angeles, CA 90073, USA
- Department of Medicine, Division of Geriatrics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Beth Y. Karlan
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Akil Merchant
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Division of Hematology and Cellular Therapy, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Sandra Orsulic
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Department of Veterans Affairs, Greater Los Angeles Healthcare System, Los Angeles, CA 90073, USA
- Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA 90095, USA
| |
Collapse
|
16
|
Imodoye SO, Adedokun KA, Bello IO. From complexity to clarity: unravelling tumor heterogeneity through the lens of tumor microenvironment for innovative cancer therapy. Histochem Cell Biol 2024; 161:299-323. [PMID: 38189822 DOI: 10.1007/s00418-023-02258-6] [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] [Accepted: 12/06/2023] [Indexed: 01/09/2024]
Abstract
Despite the tremendous clinical successes recorded in the landscape of cancer therapy, tumor heterogeneity remains a formidable challenge to successful cancer treatment. In recent years, the emergence of high-throughput technologies has advanced our understanding of the variables influencing tumor heterogeneity beyond intrinsic tumor characteristics. Emerging knowledge shows that drivers of tumor heterogeneity are not only intrinsic to cancer cells but can also emanate from their microenvironment, which significantly favors tumor progression and impairs therapeutic response. Although much has been explored to understand the fundamentals of the influence of innate tumor factors on cancer diversity, the roles of the tumor microenvironment (TME) are often undervalued. It is therefore imperative that a clear understanding of the interactions between the TME and other tumor intrinsic factors underlying the plastic molecular behaviors of cancers be identified to develop patient-specific treatment strategies. This review highlights the roles of the TME as an emerging factor in tumor heterogeneity. More particularly, we discuss the role of the TME in the context of tumor heterogeneity and explore the cutting-edge diagnostic and therapeutic approaches that could be used to resolve this recurring clinical conundrum. We conclude by speculating on exciting research questions that can advance our understanding of tumor heterogeneity with the goal of developing customized therapeutic solutions.
Collapse
Affiliation(s)
- Sikiru O Imodoye
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
| | - Kamoru A Adedokun
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Ibrahim O Bello
- Department of Oral Medicine and Diagnostic Sciences, College of Dentistry, King Saud University, Riyadh, Saudi Arabia.
- Department of Pathology, University of Helsinki, Haartmaninkatu 3, 00014, Helsinki, Finland.
| |
Collapse
|
17
|
Teng PN, Schaaf JP, Abulez T, Hood BL, Wilson KN, Litzi TJ, Mitchell D, Conrads KA, Hunt AL, Olowu V, Oliver J, Park FS, Edwards M, Chiang A, Wilkerson MD, Raj-Kumar PK, Tarney CM, Darcy KM, Phippen NT, Maxwell GL, Conrads TP, Bateman NW. ProteoMixture: A cell type deconvolution tool for bulk tissue proteomic data. iScience 2024; 27:109198. [PMID: 38439970 PMCID: PMC10910246 DOI: 10.1016/j.isci.2024.109198] [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: 08/09/2023] [Revised: 11/04/2023] [Accepted: 02/07/2024] [Indexed: 03/06/2024] Open
Abstract
Numerous multi-omic investigations of cancer tissue have documented varying and poor pairwise transcript:protein quantitative correlations, and most deconvolution tools aiming to predict cell type proportions (cell admixture) have been developed and credentialed using transcript-level data alone. To estimate cell admixture using protein abundance data, we analyzed proteome and transcriptome data generated from contrived admixtures of tumor, stroma, and immune cell models or those selectively harvested from the tissue microenvironment by laser microdissection from high grade serous ovarian cancer (HGSOC) tumors. Co-quantified transcripts and proteins performed similarly to estimate stroma and immune cell admixture (r ≥ 0.63) in two commonly used deconvolution algorithms, ESTIMATE or ConsensusTME. We further developed and optimized protein-based signatures estimating cell admixture proportions and benchmarked these using bulk tumor proteomic data from over 150 patients with HGSOC. The optimized protein signatures supporting cell type proportion estimates from bulk tissue proteomic data are available at https://lmdomics.org/ProteoMixture/.
Collapse
Affiliation(s)
- Pang-ning Teng
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
| | - Joshua P. Schaaf
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
| | - Tamara Abulez
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
| | - Brian L. Hood
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
| | - Katlin N. Wilson
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
| | - Tracy J. Litzi
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
| | - David Mitchell
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
| | - Kelly A. Conrads
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
| | - Allison L. Hunt
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- Women’s Health Integrated Research Center, Women’s Service Line, Inova Health System, Falls Church, VA 22042, USA
| | - Victoria Olowu
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
| | - Julie Oliver
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
| | - Fred S. Park
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
| | - Marshé Edwards
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
| | - AiChun Chiang
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
| | - Matthew D. Wilkerson
- Center for Military Precision Health, Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | | | - Christopher M. Tarney
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The John P. Murtha Cancer Center, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD 20889, USA
| | - Kathleen M. Darcy
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
- The John P. Murtha Cancer Center, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD 20889, USA
| | - Neil T. Phippen
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The John P. Murtha Cancer Center, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD 20889, USA
| | - G. Larry Maxwell
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- Women’s Health Integrated Research Center, Women’s Service Line, Inova Health System, Falls Church, VA 22042, USA
- The John P. Murtha Cancer Center, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD 20889, USA
| | - Thomas P. Conrads
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- Women’s Health Integrated Research Center, Women’s Service Line, Inova Health System, Falls Church, VA 22042, USA
- The John P. Murtha Cancer Center, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD 20889, USA
| | - Nicholas W. Bateman
- Gynecologic Cancer Center of Excellence and the Women’s Health Integrated Research Center, Annandale, VA 22003, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD 20817, USA
- The John P. Murtha Cancer Center, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD 20889, USA
| |
Collapse
|
18
|
Bateman NW, Abulez T, Soltis AR, McPherson A, Choi S, Garsed DW, Pandey A, Tian C, Hood BL, Conrads KA, Teng PN, Oliver J, Gist G, Mitchell D, Litzi TJ, Tarney CM, Crothers BA, Mhawech-Fauceglia P, Dalgard CL, Wilkerson MD, Pierobon M, Petricoin EF, Yan C, Meerzaman D, Bodelon C, Wentzensen N, Lee JSH, Huntsman DG, Shah S, Shriver CD, Phippen NT, Darcy KM, Bowtell DDL, Conrads TP, Maxwell GL. Proteogenomic analysis of enriched HGSOC tumor epithelium identifies prognostic signatures and therapeutic vulnerabilities. NPJ Precis Oncol 2024; 8:68. [PMID: 38480868 PMCID: PMC10937683 DOI: 10.1038/s41698-024-00519-8] [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: 06/28/2023] [Accepted: 01/15/2024] [Indexed: 03/17/2024] Open
Abstract
We performed a deep proteogenomic analysis of bulk tumor and laser microdissection enriched tumor cell populations from high-grade serous ovarian cancer (HGSOC) tissue specimens spanning a broad spectrum of purity. We identified patients with longer progression-free survival had increased immune-related signatures and validated proteins correlating with tumor-infiltrating lymphocytes in 65 tumors from an independent cohort of HGSOC patients, as well as with overall survival in an additional 126 HGSOC patient cohort. We identified that homologous recombination deficient (HRD) tumors are enriched in pathways associated with metabolism and oxidative phosphorylation that we validated in independent patient cohorts. We further identified that polycomb complex protein BMI-1 is elevated in HR proficient (HRP) tumors, that elevated BMI-1 correlates with poor overall survival in HRP but not HRD HGSOC patients, and that HRP HGSOC cells are uniquely sensitive to BMI-1 inhibition.
Collapse
Affiliation(s)
- Nicholas W Bateman
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA.
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA.
| | - Tamara Abulez
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Anthony R Soltis
- The American Genome Center, Collaborative Health Initiative Research Program, Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Andrew McPherson
- Department of Computational Oncology, Memorial Sloan Kettering Cancer Center, Manhattan, NY, USA
| | - Seongmin Choi
- Department of Computational Oncology, Memorial Sloan Kettering Cancer Center, Manhattan, NY, USA
| | - Dale W Garsed
- Peter MacCallum Cancer Centre, Parkville, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Ahwan Pandey
- Peter MacCallum Cancer Centre, Parkville, Melbourne, Victoria, Australia
| | - Chunqiao Tian
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Brian L Hood
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Kelly A Conrads
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Pang-Ning Teng
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Julie Oliver
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Glenn Gist
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Dave Mitchell
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Tracy J Litzi
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
| | - Christopher M Tarney
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Barbara A Crothers
- The Joint Pathology Center, Defense Health Agency, National Capital Region Medical Directorate, Silver Spring, MD, USA
| | - Paulette Mhawech-Fauceglia
- Department of Anatomic Pathology, Division of Gynecologic Pathology, University of Southern California, Los Angeles, CA, USA
| | - Clifton L Dalgard
- The American Genome Center, Collaborative Health Initiative Research Program, Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Matthew D Wilkerson
- The American Genome Center, Collaborative Health Initiative Research Program, Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Mariaelena Pierobon
- Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA
| | - Emanuel F Petricoin
- Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA
| | - Chunhua Yan
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD, USA
| | - Daoud Meerzaman
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD, USA
| | - Clara Bodelon
- Division of Cancer Epidemiology and Genetics National Cancer Institute, Rockville, MD, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics National Cancer Institute, Rockville, MD, USA
| | - Jerry S H Lee
- Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA, USA
| | - David G Huntsman
- Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Sohrab Shah
- Department of Computational Oncology, Memorial Sloan Kettering Cancer Center, Manhattan, NY, USA
| | - Craig D Shriver
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Neil T Phippen
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Kathleen M Darcy
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - David D L Bowtell
- Peter MacCallum Cancer Centre, Parkville, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Thomas P Conrads
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA.
- Women's Health Integrated Research Center, Women's Service Line, Inova Health System, Falls Church, VA, USA.
| | - G Larry Maxwell
- Gynecologic Cancer Center of Excellence, Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA.
- Women's Health Integrated Research Center, Women's Service Line, Inova Health System, Falls Church, VA, USA.
| |
Collapse
|
19
|
Lv Q, Zhang Z, Fu H, Li D, Liu Y, Sun Y, Wu M. Predictive Panel for Immunotherapy in Low-Grade Glioma. World Neurosurg 2024; 183:e825-e837. [PMID: 38216032 DOI: 10.1016/j.wneu.2024.01.039] [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: 10/25/2023] [Revised: 01/04/2024] [Accepted: 01/05/2024] [Indexed: 01/14/2024]
Abstract
BACKGROUND The main treatment of low-grade glioma (LGG) is still surgical resection followed by radiotherapy and/or chemotherapy, which has certain limitations, including side effects and drug resistance. Immunotherapy is a promising treatment for LGG, but it is generally hindered by the tumor microenvironment with the limited expression of tumor antigens. METHODS We integrated RNA sequencing data sets and clinical information and conducted consistent cluster analysis to explore the most suitable patients for immune checkpoint therapy. Gene set enrichment analysis, UMAP analysis, mutation correlation analysis, TIMER analysis, and TIDE analysis were used to identify the immune characteristics of 3 immune subtypes and the feasibility of 5 antigens as immune checkpoint markers. RESULTS We analyzed the isolation and mutation of homologous recombination repair genes (HRR) of the 3 immune subtypes, and the HRR genes of the 3 subtypes were obviously segregated. Among them, the IS2 subtype has a large number of HRR gene mutations, which increases the immunogenicity of tumors-this is consistent with the results of tumor mutation load analysis of 3 immune subtypes. Then we evaluated the immune cell infiltration of immune subtypes and found that IS2 and IS3 subtypes were rich in immune cells. It is worth noting that there are many Treg cells and NK cells in the IS1 subtype. In addition, when analyzing the immune checkpoint gene expression of the 3 subtypes, we found that they were upregulated most in IS2 subtypes compared with other subtypes. Then when we further confirmed the role of immune-related genes in LGG; through TIDE analysis and TISIDB analysis, we obtained 5 markers that can predict the efficacy of ICB in patients with LGG. In addition, we confirmed that they were associated with poor prognosis through survival analysis. CONCLUSIONS We obtained 3 reliable immune subtypes, and patients with the IS2 subtype are suitable for immunotherapy, in which NAMPT, SLC11A1, TNC, VIM, and SPP1 are predictive panel markers for ICB in the LGG group. Our findings provide a rationale for immunotherapy selection and prediction of patient prognosis in LGG patients.
Collapse
Affiliation(s)
- Qingqing Lv
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China; The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Zhaoyu Zhang
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China; The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Haijuan Fu
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China; The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Danyang Li
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China; The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Yihao Liu
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China; The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Yingnan Sun
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Minghua Wu
- Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China; The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China.
| |
Collapse
|
20
|
Chen B, Zhao L, Yang R, Xu T. New insights about endometriosis-associated ovarian cancer: pathogenesis, risk factors, prediction and diagnosis and treatment. Front Oncol 2024; 14:1329133. [PMID: 38384812 PMCID: PMC10879431 DOI: 10.3389/fonc.2024.1329133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 01/23/2024] [Indexed: 02/23/2024] Open
Abstract
Previous studies have shown that the risk of malignant transformation of endometriosis in premenopausal women is approximately 1%, significantly impacting the overall well-being and quality of life of affected women. Presently, the diagnostic gold standard for endometriosis-associated ovarian cancer (EAOC) continues to be invasive laparoscopy followed by histological examination. However, the application of this technique is limited due to its high cost, highlighting the importance of identifying a non-invasive diagnostic approach. Therefore, there is a critical need to explore non-invasive diagnostic methods to improve diagnostic precision and optimize clinical outcomes for patients. This review presents a comprehensive survey of the current progress in comprehending the pathogenesis of malignant transformation in endometriosis. Furthermore, it examines the most recent research discoveries concerning the diagnosis of EAOC and emphasizes potential targets for therapeutic intervention. The ultimate objective is to improve prevention, early detection, precise diagnosis, and treatment approaches, thereby optimizing the clinical outcomes for patients.
Collapse
Affiliation(s)
| | | | | | - Tianmin Xu
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| |
Collapse
|
21
|
Wang X, Bai H, Zhang J, Wang Z, Duan J, Cai H, Cao Z, Lin Q, Ding X, Sun Y, Zhang W, Xu X, Chen H, Zhang D, Feng X, Wan J, Zhang J, He J, Wang J. Genetic Intratumor Heterogeneity Remodels the Immune Microenvironment and Induces Immune Evasion in Brain Metastasis of Lung Cancer. J Thorac Oncol 2024; 19:252-272. [PMID: 37717855 DOI: 10.1016/j.jtho.2023.09.276] [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: 06/06/2023] [Revised: 08/18/2023] [Accepted: 09/07/2023] [Indexed: 09/19/2023]
Abstract
INTRODUCTION Brain metastasis, with the highest incidence in patients with lung cancer, significantly worsens prognosis and poses challenges to clinical management. To date, how brain metastasis evades immune elimination remains unknown. METHODS Whole-exome sequencing and RNA sequencing were performed on 30 matched brain metastasis, primary lung adenocarcinoma, and normal tissues. Data from The Cancer Genome Atlas primary lung adenocarcinoma cohort, including multiplex immunofluorescence, were used to support the findings of bioinformatics analysis. RESULTS Our study highlights the key role of intratumor heterogeneity of genomic alterations in the metastasis process, mainly caused by homologous recombination deficiency or other somatic copy number alteration-associated mutation mechanisms, leading to increased genomic instability and genomic complexity. We further proposed a selection model of brain metastatic evolution in which intratumor heterogeneity drives immune remodeling, leading to immune escape through different mechanisms under local immune pressure. CONCLUSIONS Our findings provide novel insights into the metastatic process and immune escape mechanisms of brain metastasis and pave the way for precise immunotherapeutic strategies for patients with lung cancer with brain metastasis.
Collapse
Affiliation(s)
- Xin Wang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hua Bai
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiyang Zhang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhijie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianchun Duan
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongqing Cai
- Department of Neurosurgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zheng Cao
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qingtang Lin
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiaosheng Ding
- Department of Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yiting Sun
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Zhang
- Department of Translational Medicine, 3D Medicines Inc., Shanghai, China
| | - Xiaoya Xu
- Department of Translational Medicine, 3D Medicines Inc., Shanghai, China
| | - Hao Chen
- Department of Translational Medicine, 3D Medicines Inc., Shanghai, China
| | - Dadong Zhang
- Department of Translational Medicine, 3D Medicines Inc., Shanghai, China
| | - Xiaoli Feng
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jinghai Wan
- Department of Neurosurgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianjun Zhang
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| |
Collapse
|
22
|
Xia Q, Jiang H, Liu X, Yin L, Wang X. Advances in Engineered Nano-Biosensors for Bacteria Diagnosis and Multidrug Resistance Inhibition. BIOSENSORS 2024; 14:59. [PMID: 38391978 PMCID: PMC10887026 DOI: 10.3390/bios14020059] [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: 12/18/2023] [Revised: 01/14/2024] [Accepted: 01/17/2024] [Indexed: 02/24/2024]
Abstract
Bacterial infections continue to pose a significant global health challenge, with the emergence of multidrug-resistant (MDR) bacteria and biofilms further complicating treatment options. The rise of pan-resistant bacteria, coupled with the slow development of new antibiotics, highlights the urgent need for new therapeutic strategies. Nanotechnology-based biosensors offer fast, specific, sensitive, and selective methods for detecting and treating bacteria; hence, it is a promising approach for the diagnosis and treatment of MDR bacteria. Through mechanisms, such as destructive bacterial cell membranes, suppression of efflux pumps, and generation of reactive oxygen species, nanotechnology effectively combats bacterial resistance and biofilms. Nano-biosensors and related technology have demonstrated their importance in bacteria diagnosis and treatment, providing innovative ideas for MDR inhibition. This review focuses on multiple nanotechnology approaches in targeting MDR bacteria and eliminating antimicrobial biofilms, highlighting nano-biosensors via photodynamics-based biosensors, eletrochemistry biosensors, acoustic-dynamics sensors, and so on. Furthermore, the major challenges, opportunities of multi-physical-field biometrics-based biosensors, and relevant nanotechnology in MDR bacterial theranostics are also discussed. Overall, this review provides insights and scientific references to harness the comprehensive and diverse capabilities of nano-biosensors for precise bacteria theranostics and MDR inhibition.
Collapse
Affiliation(s)
- Qingxiu Xia
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China;
| | - Hui Jiang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China (X.L.)
| | - Xiaohui Liu
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China (X.L.)
| | - Lihong Yin
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China;
| | - Xuemei Wang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China (X.L.)
| |
Collapse
|
23
|
Sun Y, Wu P, Zhang Z, Wang Z, Zhou K, Song M, Ji Y, Zang F, Lou L, Rao K, Wang P, Gu Y, Gu J, Lu B, Chen L, Pan X, Zhao X, Peng L, Liu D, Chen X, Wu K, Lin P, Wu L, Su Y, Du M, Hou Y, Yang X, Qiu S, Shi Y, Sun H, Zhou J, Huang X, Peng DH, Zhang L, Fan J. Integrated multi-omics profiling to dissect the spatiotemporal evolution of metastatic hepatocellular carcinoma. Cancer Cell 2024; 42:135-156.e17. [PMID: 38101410 DOI: 10.1016/j.ccell.2023.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 09/27/2023] [Accepted: 11/21/2023] [Indexed: 12/17/2023]
Abstract
Comprehensive molecular analyses of metastatic hepatocellular carcinoma (HCC) are lacking. Here, we generate multi-omic profiling of 257 primary and 176 metastatic regions from 182 HCC patients. Primary tumors rich in hypoxia signatures facilitated polyclonal dissemination. Genomic divergence between primary and metastatic HCC is high, and early dissemination is prevalent. The remarkable neoantigen intratumor heterogeneity observed in metastases is associated with decreased T cell reactivity, resulting from disruptions to neoantigen presentation. We identify somatic copy number alterations as highly selected events driving metastasis. Subclones without Wnt mutations show a stronger selective advantage for metastasis than those with Wnt mutations and are characterized by a microenvironment rich in activated fibroblasts favoring a pro-metastatic phenotype. Finally, metastases without Wnt mutations exhibit higher enrichment of immunosuppressive B cells that mediate terminal exhaustion of CD8+ T cells via HLA-E:CD94-NKG2A checkpoint axis. Collectively, our results provide a multi-dimensional dissection of the complex evolutionary process of metastasis.
Collapse
Affiliation(s)
- Yunfan Sun
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China.
| | - Pin Wu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China; University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China
| | - Zefan Zhang
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Zejian Wang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kaiqian Zhou
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Minfang Song
- Research Center for Intelligent Computing Platforms, Zhejiang Lab, Hangzhou, Zhejiang 311121, China
| | - Yuan Ji
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Fenglin Zang
- Department of Pathology, Liver Cancer Research Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Limu Lou
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China
| | - Keqiang Rao
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Pengxiang Wang
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Yutong Gu
- Department of Orthopaedic Surgery, Zhongshan Hospital Fudan University, Shanghai 200032, China
| | - Jie Gu
- Department of Thoracic Surgery, Zhongshan Hospital Fudan University, Shanghai 200032, China
| | - Binbin Lu
- Dunwill Med-Tech, Shanghai 200032, China
| | | | - Xiuqi Pan
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China
| | - Xiaojing Zhao
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China
| | - Lihua Peng
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Dongbing Liu
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Xiaofang Chen
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Kui Wu
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Penghui Lin
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Liang Wu
- BGI Research, Shenzhen 518083, China
| | - Yulin Su
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China
| | - Min Du
- Department of Pathology, Huadong Hospital, Fudan University, Shanghai 200032, China
| | - Yingyong Hou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xinrong Yang
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Shuangjian Qiu
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Yinghong Shi
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Huichuan Sun
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Jian Zhou
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Xingxu Huang
- Research Center for Intelligent Computing Platforms, Zhejiang Lab, Hangzhou, Zhejiang 311121, China
| | | | - Liye Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China.
| | - Jia Fan
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China.
| |
Collapse
|
24
|
Sveen A, Johannessen B, Klokkerud SM, Kraggerud SM, Meza-Zepeda LA, Bjørnslett M, Bischof K, Myklebost O, Taskén K, Skotheim RI, Dørum A, Davidson B, Lothe RA. Evolutionary mode and timing of dissemination of high-grade serous carcinomas. JCI Insight 2024; 9:e170423. [PMID: 38175731 PMCID: PMC11143962 DOI: 10.1172/jci.insight.170423] [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: 12/21/2023] [Accepted: 12/26/2023] [Indexed: 01/06/2024] Open
Abstract
Dissemination within the peritoneal cavity is a main determinant of poor patient outcomes from high-grade serous carcinomas (HGSCs). The dissemination process is poorly understood from a cancer evolutionary perspective. We reconstructed the evolutionary trajectories across a median of 5 tumor sites and regions from each of 23 patients based on deep whole-exome sequencing. Polyclonal cancer origin was detected in 1 patient. Ovarian tumors had more complex subclonal architectures than other intraperitoneal tumors in each patient, which indicated that tumors developed earlier in the ovaries. Three common modes of dissemination were identified, including monoclonal or polyclonal dissemination of monophyletic (linear) or polyphyletic (branched) subclones. Mutation profiles of initial or disseminated clones varied greatly among cancers, but recurrent mutations were found in 7 cancer-critical genes, including TP53, BRCA1, BRCA2, and DNMT3A, and in the PI3K/AKT1 pathway. Disseminated clones developed late in the evolutionary trajectory models of most cancers, in particular in cancers with DNA damage repair deficiency. Polyclonal dissemination was predicted to occur predominantly as a single and rapid wave, but chemotherapy exposure was associated with higher genomic diversity of disseminated clones. In conclusion, we described three common evolutionary dissemination modes across HGSCs and proposed factors associated with dissemination diversity.
Collapse
Affiliation(s)
- Anita Sveen
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Bjarne Johannessen
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Solveig M.K. Klokkerud
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Sigrid M. Kraggerud
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Leonardo A. Meza-Zepeda
- Department of Tumor Biology, Institute for Cancer Research
- Genomics Core Facility, Department of Core Facilities, Institute for Cancer Research
| | - Merete Bjørnslett
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Katharina Bischof
- Department of Gynecological Oncology, The Norwegian Radium Hospital, and
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Ola Myklebost
- Department of Tumor Biology, Institute for Cancer Research
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Kjetil Taskén
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Rolf I. Skotheim
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- Department of Informatics, University of Oslo, Oslo, Norway
| | - Anne Dørum
- Department of Gynecological Oncology, The Norwegian Radium Hospital, and
| | - Ben Davidson
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Ragnhild A. Lothe
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| |
Collapse
|
25
|
Rodriguez GM, Yakubovich E, Murshed H, Maranda V, Galpin KJ, Cudmore A, Hanna AMR, Macdonald E, Ramesh S, Garson K, Vanderhyden BC. NLRC5 overexpression in ovarian tumors remodels the tumor microenvironment and increases T-cell reactivity toward autologous tumor-associated antigens. Front Immunol 2024; 14:1295208. [PMID: 38235131 PMCID: PMC10791902 DOI: 10.3389/fimmu.2023.1295208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 12/04/2023] [Indexed: 01/19/2024] Open
Abstract
Introduction Epithelial ovarian cancer (OC) stands as one of the deadliest gynecologic malignancies, urgently necessitating novel therapeutic strategies. Approximately 60% of ovarian tumors exhibit reduced expression of major histocompatibility complex class I (MHC I), intensifying immune evasion mechanisms and rendering immunotherapies ineffective. NOD-like receptor CARD domain containing 5 (NLRC5) transcriptionally regulates MHC I genes and many antigen presentation machinery components. We therefore explored the therapeutic potential of NLRC5 in OC. Methods We generated OC cells overexpressing NLRC5 to rescue MHC I expression and antigen presentation and then assessed their capability to respond to PD-L1 blockade and an infected cell vaccine. Results Analysis of microarray datasets revealed a correlation between elevated NLRC5 expression and extended survival in OC patients; however, NLRC5 was scarcely detected in the OC tumor microenvironment. OC cells overexpressing NLRC5 exhibited slower tumor growth and resulted in higher recruitment of leukocytes in the TME with lower CD4/CD8 T-cell ratios and increased activation of T cells. Immune cells from peripheral blood, spleen, and ascites from these mice displayed heightened activation and interferon-gamma production when exposed to autologous tumor-associated antigens. Finally, as a proof of concept, NLRC5 overexpression within an infected cell vaccine platform enhanced responses and prolonged survival in comparison with control groups when challenged with parental tumors. Discussion These findings provide a compelling rationale for utilizing NLRC5 overexpression in "cold" tumor models to enhance tumor susceptibility to T-cell recognition and elimination by boosting the presentation of endogenous tumor antigens. This approach holds promise for improving antitumoral immune responses in OC.
Collapse
Affiliation(s)
- Galaxia M. Rodriguez
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Edward Yakubovich
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Humaira Murshed
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Vincent Maranda
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Kristianne J.C. Galpin
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Alison Cudmore
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Andrew M. R. Hanna
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Elizabeth Macdonald
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Shashankan Ramesh
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Kenneth Garson
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Barbara C. Vanderhyden
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada
| |
Collapse
|
26
|
Libbrecht S, Vankerckhoven A, de Wijs K, Baert T, Thirion G, Vandenbrande K, Van Gorp T, Timmerman D, Coosemans A, Lagae L. A Microfluidics Approach for Ovarian Cancer Immune Monitoring in an Outpatient Setting. Cells 2023; 13:7. [PMID: 38201211 PMCID: PMC10778191 DOI: 10.3390/cells13010007] [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: 10/26/2023] [Revised: 12/01/2023] [Accepted: 12/12/2023] [Indexed: 01/12/2024] Open
Abstract
Among cancer diagnoses in women, ovarian cancer has the fifth-highest mortality rate. Current treatments are unsatisfactory, and new therapies are highly needed. Immunotherapies show great promise but have not reached their full potential in ovarian cancer patients. Implementation of an immune readout could offer better guidance and development of immunotherapies. However, immune profiling is often performed using a flow cytometer, which is bulky, complex, and expensive. This equipment is centralized and operated by highly trained personnel, making it cumbersome and time-consuming. We aim to develop a disposable microfluidic chip capable of performing an immune readout with the sensitivity needed to guide diagnostic decision making as close as possible to the patient. As a proof of concept of the fluidics module of this concept, acquisition of a limited immune panel based on CD45, CD8, programmed cell death protein 1 (PD1), and a live/dead marker was compared to a conventional flow cytometer (BD FACSymphony). Based on a dataset of peripheral blood mononuclear cells of 15 patients with ovarian cancer across different stages of treatment, we obtained a 99% correlation coefficient for the detection of CD8+PD1+ T cells relative to the total amount of CD45+ white blood cells. Upon further system development comprising further miniaturization of optics, this microfluidics chip could enable immune monitoring in an outpatient setting, facilitating rapid acquisition of data without the need for highly trained staff.
Collapse
Affiliation(s)
- Sarah Libbrecht
- Life Science Technologies, imec, B-3001 Leuven, Belgium; (S.L.)
| | - Ann Vankerckhoven
- Department of Oncology, Laboratory for Tumor Immunology and Immunotherapy, Leuven Cancer Institute, KU Leuven, B-3000 Leuven, Belgium; (A.V.); (A.C.)
| | - Koen de Wijs
- Life Science Technologies, imec, B-3001 Leuven, Belgium; (S.L.)
| | - Thaïs Baert
- Department of Gynecology and Obstetrics, UZ Leuven, B-3000 Leuven, Belgium
- Department of Oncology, Gynecological Oncology, KU Leuven, B-3000 Leuven, Belgium
| | - Gitte Thirion
- Department of Oncology, Laboratory for Tumor Immunology and Immunotherapy, Leuven Cancer Institute, KU Leuven, B-3000 Leuven, Belgium; (A.V.); (A.C.)
| | - Katja Vandenbrande
- Department of Oncology, Laboratory for Tumor Immunology and Immunotherapy, Leuven Cancer Institute, KU Leuven, B-3000 Leuven, Belgium; (A.V.); (A.C.)
| | - Toon Van Gorp
- Department of Gynecology and Obstetrics, UZ Leuven, B-3000 Leuven, Belgium
- Department of Oncology, Gynecological Oncology, KU Leuven, B-3000 Leuven, Belgium
| | - Dirk Timmerman
- Department of Gynecology and Obstetrics, UZ Leuven, B-3000 Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, B-3000 Leuven, Belgium
| | - An Coosemans
- Department of Oncology, Laboratory for Tumor Immunology and Immunotherapy, Leuven Cancer Institute, KU Leuven, B-3000 Leuven, Belgium; (A.V.); (A.C.)
| | - Liesbet Lagae
- Life Science Technologies, imec, B-3001 Leuven, Belgium; (S.L.)
- Physics Department, KU Leuven, B-3000 Leuven, Belgium
| |
Collapse
|
27
|
Veneziani AC, Gonzalez-Ochoa E, Alqaisi H, Madariaga A, Bhat G, Rouzbahman M, Sneha S, Oza AM. Heterogeneity and treatment landscape of ovarian carcinoma. Nat Rev Clin Oncol 2023; 20:820-842. [PMID: 37783747 DOI: 10.1038/s41571-023-00819-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/04/2023] [Indexed: 10/04/2023]
Abstract
Ovarian carcinoma is characterized by heterogeneity at the molecular, cellular and anatomical levels, both spatially and temporally. This heterogeneity affects response to surgery and/or systemic therapy, and also facilitates inherent and acquired drug resistance. As a consequence, this tumour type is often aggressive and frequently lethal. Ovarian carcinoma is not a single disease entity and comprises various subtypes, each with distinct complex molecular landscapes that change during progression and therapy. The interactions of cancer and stromal cells within the tumour microenvironment further affects disease evolution and response to therapy. In past decades, researchers have characterized the cellular, molecular, microenvironmental and immunological heterogeneity of ovarian carcinoma. Traditional treatment approaches have considered ovarian carcinoma as a single entity. This landscape is slowly changing with the increasing appreciation of heterogeneity and the recognition that delivering ineffective therapies can delay the development of effective personalized approaches as well as potentially change the molecular and cellular characteristics of the tumour, which might lead to additional resistance to subsequent therapy. In this Review we discuss the heterogeneity of ovarian carcinoma, outline the current treatment landscape for this malignancy and highlight potentially effective therapeutic strategies in development.
Collapse
Affiliation(s)
- Ana C Veneziani
- Division of Medical Oncology and Haematology, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Eduardo Gonzalez-Ochoa
- Division of Medical Oncology and Haematology, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Husam Alqaisi
- Division of Medical Oncology and Haematology, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Ainhoa Madariaga
- Medical Oncology Department, 12 De Octubre University Hospital, Madrid, Spain
| | - Gita Bhat
- Division of Medical Oncology and Haematology, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Marjan Rouzbahman
- Department of Laboratory Medicine and Pathobiology, Toronto General Hospital, Toronto, Ontario, Canada
| | - Suku Sneha
- Division of Medical Oncology and Haematology, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Amit M Oza
- Division of Medical Oncology and Haematology, Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
| |
Collapse
|
28
|
Wan M, Yang X, He L, Meng H. Elucidating the clonal relationship of esophageal second primary tumors in patients with laryngeal squamous cell carcinoma. Infect Agent Cancer 2023; 18:75. [PMID: 38017473 PMCID: PMC10685475 DOI: 10.1186/s13027-023-00558-z] [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: 09/01/2023] [Accepted: 11/09/2023] [Indexed: 11/30/2023] Open
Abstract
Laryngeal cancer ranks as the second most prevalent upper airway malignancy, following Lung cancer. Although some progress has been made in managing laryngeal cancer, the 5-year survival rate is disappointing. The gradual increase in the incidence of second primary tumors (SPTs) plays a crucial role in determining survival outcomes during long-term follow-up, and the esophagus was the most common site with a worse prognosis. In clinical practice, the treatment of esophageal second primary tumors (ESPT) in patients with laryngeal squamous cell carcinoma (LSCC) has always been challenging. For patients with synchronous tumors, several treatment modalities, such as radiotherapy, chemotherapy and potentially curative surgery are necessary but are typically poorly tolerated. Secondary cancer therapy options for metachronous patients are always constrained by index cancer treatment indications. Therefore, understanding the clonal origin of the second primary tumor may be an important issue in the treatment of patients. LSCC cells demonstrate genetic instability because of two distinct aetiologies (human papillomavirus (HPV)-negative and HPV-positive) disease. Various etiologies exhibit distinct oncogenic mechanisms, which subsequently impact the tissue microenvironment. The condition of the tissue microenvironment plays a crucial role in determining the destiny and clonal makeup of mutant cells during the initial stages of tumorigenesis. This review focuses on the genetic advances of LSCC, the current research status of SPT, and the influence of key carcinogenesis of HPV-positive and HPV-negative LSCC on clonal evolution of ESPT cells. The objective is to gain a comprehensive understanding of the molecular basis underlying the clonal origins of SPT, thereby offering novel perspectives for future investigations in this field.
Collapse
Affiliation(s)
- Meixuan Wan
- Department of Pathology, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Xinxin Yang
- Precision Medicine Center, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Lin He
- Department of Stomatology, Heilongjiang Province Hospital, Harbin, 150081, China
| | - Hongxue Meng
- Department of Pathology, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
- Precision Medicine Center, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
| |
Collapse
|
29
|
Kim T, Lim H, Jun S, Park J, Lee D, Lee JH, Lee JY, Bang D. Globally shared TCR repertoires within the tumor-infiltrating lymphocytes of patients with metastatic gynecologic cancer. Sci Rep 2023; 13:20485. [PMID: 37993659 PMCID: PMC10665396 DOI: 10.1038/s41598-023-47740-2] [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: 04/15/2023] [Accepted: 11/17/2023] [Indexed: 11/24/2023] Open
Abstract
Gynecologic cancer, including ovarian cancer and endometrial cancer, is characterized by morphological and molecular heterogeneity. Germline and somatic testing are available for patients to screen for pathogenic variants in genes such as BRCA1/2. Tissue expression levels of immunogenomic markers such as PD-L1 are also being used in clinical research. The basic therapeutic approach to gynecologic cancer combines surgery with chemotherapy. Immunotherapy, while not yet a mainstream treatment for gynecologic cancers, is advancing, with Dostarlimab recently receiving approval as a treatment for endometrial cancer. The goal remains to harness stimulated immune cells in the bloodstream to eradicate multiple metastases, a feat currently deemed challenging in a typical clinical setting. For the discovery of novel immunotherapy-based tumor targets, tumor-infiltrating lymphocytes (TILs) give a key insight on tumor-related immune activities by providing T cell receptor (TCR) sequences. Understanding the TCR repertoires of TILs in metastatic tissues and the circulation is important from an immunotherapy standpoint, as a subset of T cells in the blood have the potential to help kill tumor cells. To explore the relationship between distant tissue biopsy regions and blood circulation, we investigated the TCR beta chain (TCRβ) in bulk tumor and matched blood samples from 39 patients with gynecologic cancer. We found that the TCR clones of TILs at different tumor sites were globally shared within patients and had high overlap with the TCR clones in peripheral blood.
Collapse
Affiliation(s)
- Taehoon Kim
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Hyeonseob Lim
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Soyeong Jun
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Junsik Park
- Department of Obstetrics and Gynecology, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Dongin Lee
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Ji Hyun Lee
- Department of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Korea
- Department of Biomedical Science and Technology, Kyung Hee Medical Science Research Institute, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Korea
| | - Jung-Yun Lee
- Department of Obstetrics and Gynecology, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
| | - Duhee Bang
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
| |
Collapse
|
30
|
Xiong J, Fu Y, Huang J, Wang Y, Jin X, Wan X, Huang L, Huang Z. Metabolic and senescence characteristics associated with the immune microenvironment in ovarian cancer. Front Endocrinol (Lausanne) 2023; 14:1265525. [PMID: 38075052 PMCID: PMC10702973 DOI: 10.3389/fendo.2023.1265525] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 10/31/2023] [Indexed: 12/18/2023] Open
Abstract
Ovarian cancer is a highly malignant gynecological cancer influenced by the immune microenvironment, metabolic reprogramming, and cellular senescence. This review provides a comprehensive overview of these characteristics. Metabolic reprogramming affects immune cell function and tumor growth signals. Cellular senescence in immune and tumor cells impacts anti-tumor responses and therapy resistance. Targeting immune cell metabolism and inducing tumor cell senescence offer potential therapeutic strategies. However, challenges remain in identifying specific targets and biomarkers. Understanding the interplay of these characteristics can lead to innovative therapeutic approaches. Further research is needed to elucidate mechanisms, validate strategies, and improve patient outcomes in ovarian cancer.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Liu Huang
- Department of Obstetrics and Gynaecology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Zheng Huang
- Department of Obstetrics and Gynaecology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| |
Collapse
|
31
|
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.
Collapse
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.
| |
Collapse
|
32
|
Li Z, Gu H, Xu X, Tian Y, Huang X, Du Y. Unveiling the novel immune and molecular signatures of ovarian cancer: insights and innovations from single-cell sequencing. Front Immunol 2023; 14:1288027. [PMID: 38022625 PMCID: PMC10654630 DOI: 10.3389/fimmu.2023.1288027] [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: 09/03/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
Ovarian cancer is a highly heterogeneous and lethal malignancy with limited treatment options. Over the past decade, single-cell sequencing has emerged as an advanced biological technology capable of decoding the landscape of ovarian cancer at the single-cell resolution. It operates at the level of genes, transcriptomes, proteins, epigenomes, and metabolisms, providing detailed information that is distinct from bulk sequencing methods, which only offer average data for specific lesions. Single-cell sequencing technology provides detailed insights into the immune and molecular mechanisms underlying tumor occurrence, development, drug resistance, and immune escape. These insights can guide the development of innovative diagnostic markers, therapeutic strategies, and prognostic indicators. Overall, this review provides a comprehensive summary of the diverse applications of single-cell sequencing in ovarian cancer. It encompasses the identification and characterization of novel cell subpopulations, the elucidation of tumor heterogeneity, the investigation of the tumor microenvironment, the analysis of mechanisms underlying metastasis, and the integration of innovative approaches such as organoid models and multi-omics analysis.
Collapse
Affiliation(s)
- Zhongkang Li
- Department of Obstetrics and Gynecology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Haihan Gu
- Department of Pharmacy, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Xiaotong Xu
- Department of Obstetrics and Gynecology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yanpeng Tian
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xianghua Huang
- Department of Obstetrics and Gynecology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yanfang Du
- Department of Obstetrics and Gynecology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| |
Collapse
|
33
|
Crispin-Ortuzar M, Woitek R, Reinius MAV, Moore E, Beer L, Bura V, Rundo L, McCague C, Ursprung S, Escudero Sanchez L, Martin-Gonzalez P, Mouliere F, Chandrananda D, Morris J, Goranova T, Piskorz AM, Singh N, Sahdev A, Pintican R, Zerunian M, Rosenfeld N, Addley H, Jimenez-Linan M, Markowetz F, Sala E, Brenton JD. Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer. Nat Commun 2023; 14:6756. [PMID: 37875466 PMCID: PMC10598212 DOI: 10.1038/s41467-023-41820-7] [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: 05/27/2022] [Accepted: 09/20/2023] [Indexed: 10/26/2023] Open
Abstract
High grade serous ovarian carcinoma (HGSOC) is a highly heterogeneous disease that typically presents at an advanced, metastatic state. The multi-scale complexity of HGSOC is a major obstacle to predicting response to neoadjuvant chemotherapy (NACT) and understanding critical determinants of response. Here we present a framework to predict the response of HGSOC patients to NACT integrating baseline clinical, blood-based, and radiomic biomarkers extracted from all primary and metastatic lesions. We use an ensemble machine learning model trained to predict the change in total disease volume using data obtained at diagnosis (n = 72). The model is validated in an internal hold-out cohort (n = 20) and an independent external patient cohort (n = 42). In the external cohort the integrated radiomics model reduces the prediction error by 8% with respect to the clinical model, achieving an AUC of 0.78 for RECIST 1.1 classification compared to 0.47 for the clinical model. Our results emphasize the value of including radiomics data in integrative models of treatment response and provide methods for developing new biomarker-based clinical trials of NACT in HGSOC.
Collapse
Affiliation(s)
- Mireia Crispin-Ortuzar
- Department of Oncology, University of Cambridge, Cambridge, UK.
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.
| | - Ramona Woitek
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
- Centre for Medical Image Analysis and AI (MIAAI), Danube Private University, Krems, Austria
| | - Marika A V Reinius
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Elizabeth Moore
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Lucian Beer
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Vlad Bura
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Leonardo Rundo
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
- Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, Fisciano, SA, Italy
| | - Cathal McCague
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Stephan Ursprung
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Lorena Escudero Sanchez
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Paula Martin-Gonzalez
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Florent Mouliere
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Pathology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - James Morris
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Teodora Goranova
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Anna M Piskorz
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Naveena Singh
- Department of Cellular Pathology, Barts Health NHS Trust, London, UK
| | - Anju Sahdev
- Department of Radiology, Barts Health NHS Trust, London, UK
| | - Roxana Pintican
- "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
- Department of Radiology, County Clinical Emergency Hospital, Cluj-Napoca, Romania
| | - Marta Zerunian
- Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome-Sant'Andrea University Hospital, Rome, Italy
| | - Nitzan Rosenfeld
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Helen Addley
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Mercedes Jimenez-Linan
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Florian Markowetz
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Evis Sala
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Dipartimento di Scienze Radiologiche ed Ematologiche, Universita Cattolica del Sacro Cuore, Rome, Italy
- Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Western Balkans University, Tirana, Albania
| | - James D Brenton
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| |
Collapse
|
34
|
Tassi E, Bergamini A, Wignall J, Sant’Angelo M, Brunetto E, Balestrieri C, Redegalli M, Potenza A, Abbati D, Manfredi F, Cangi MG, Magliacane G, Scalisi F, Ruggiero E, Maffia MC, Trippitelli F, Rabaiotti E, Cioffi R, Bocciolone L, Candotti G, Candiani M, Taccagni G, Schultes B, Doglioni C, Mangili G, Bonini C. Epithelial ovarian cancer is infiltrated by activated effector T cells co-expressing CD39, PD-1, TIM-3, CD137 and interacting with cancer cells and myeloid cells. Front Immunol 2023; 14:1212444. [PMID: 37868997 PMCID: PMC10585363 DOI: 10.3389/fimmu.2023.1212444] [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: 04/26/2023] [Accepted: 09/14/2023] [Indexed: 10/24/2023] Open
Abstract
Introduction Despite predicted efficacy, immunotherapy in epithelial ovarian cancer (EOC) has limited clinical benefit and the prognosis of patients remains poor. There is thus a strong need for better identifying local immune dynamics and immune-suppressive pathways limiting T-cell mediated anti-tumor immunity. Methods In this observational study we analyzed by immunohistochemistry, gene expression profiling and flow cytometry the antigenic landscape and immune composition of 48 EOC specimens, with a focus on tumor-infiltrating lymphocytes (TILs). Results Activated T cells showing features of partial exhaustion with a CD137+CD39+PD-1+TIM-3+CD45RA-CD62L-CD95+ surface profile were exclusively present in EOC specimens but not in corresponding peripheral blood or ascitic fluid, indicating that the tumor microenvironment might sustain this peculiar phenotype. Interestingly, while neoplastic cells expressed several tumor-associated antigens possibly able to stimulate tumor-specific TILs, macrophages provided both co-stimulatory and inhibitory signals and were more abundant in TILs-enriched specimens harboring the CD137+CD39+PD-1+TIM-3+CD45RA-CD62L-CD95+ signature. Conclusion These data demonstrate that EOC is enriched in CD137+CD39+PD-1+TIM-3+CD45RA-CD62L-CD95+ T lymphocytes, a phenotype possibly modulated by antigen recognition on neoplastic cells and by a combination of inhibitory and co-stimulatory signals largely provided by infiltrating myeloid cells. Furthermore, we have identified immunosuppressive pathways potentially hampering local immunity which might be targeted by immunotherapeutic approaches.
Collapse
Affiliation(s)
- Elena Tassi
- Experimental Hematology Unit, Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milano, Italy
- Cell Therapy Immunomonitoring Laboratory (MITiCi), Division of Immunology, Transplantation and Infectious Diseases, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Alice Bergamini
- Università Vita-Salute San Raffaele, Milan, Italy
- Department of Obstetrics and Gynecology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Jessica Wignall
- Experimental Hematology Unit, Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Miriam Sant’Angelo
- Department of Surgical Pathology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Emanuela Brunetto
- Department of Surgical Pathology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Chiara Balestrieri
- Experimental Hematology Unit, Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Miriam Redegalli
- Department of Surgical Pathology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Alessia Potenza
- Experimental Hematology Unit, Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Danilo Abbati
- Experimental Hematology Unit, Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Francesco Manfredi
- Experimental Hematology Unit, Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milano, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Maria Giulia Cangi
- Department of Surgical Pathology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Gilda Magliacane
- Department of Surgical Pathology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Fabiola Scalisi
- Department of Surgical Pathology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Eliana Ruggiero
- Experimental Hematology Unit, Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Maria Chiara Maffia
- Experimental Hematology Unit, Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Federica Trippitelli
- Experimental Hematology Unit, Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Emanuela Rabaiotti
- Department of Obstetrics and Gynecology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Raffaella Cioffi
- Department of Obstetrics and Gynecology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Luca Bocciolone
- Department of Obstetrics and Gynecology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Giorgio Candotti
- Department of Obstetrics and Gynecology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Massimo Candiani
- Università Vita-Salute San Raffaele, Milan, Italy
- Department of Obstetrics and Gynecology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Gianluca Taccagni
- Department of Surgical Pathology, IRCCS Ospedale San Raffaele, Milan, Italy
| | | | - Claudio Doglioni
- Università Vita-Salute San Raffaele, Milan, Italy
- Department of Surgical Pathology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Giorgia Mangili
- Department of Obstetrics and Gynecology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Chiara Bonini
- Experimental Hematology Unit, Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milano, Italy
- Cell Therapy Immunomonitoring Laboratory (MITiCi), Division of Immunology, Transplantation and Infectious Diseases, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| |
Collapse
|
35
|
Wang Z, Yang L, Su X, Wu X, Su R. Single-cell RNA-sequencing analysis reveals divergent transcriptome events between platinum-sensitive and platinum-resistant high-grade serous ovarian carcinoma. J Gene Med 2023; 25:e3504. [PMID: 36994597 DOI: 10.1002/jgm.3504] [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: 02/07/2023] [Revised: 03/10/2023] [Accepted: 03/22/2023] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND Tumor resistance is one of the main reasons leading to the failure of ovarian cancer treatment. Overcoming platinum resistance remains the greatest challenge in the management of high-grade serous ovarian carcinoma (HGSC). METHODS Small conditional RNA-sequencing is a powerful method for exploring the complexity of the cellular components and their interactions in the tumor microenvironment. We profiled the transcriptomes of 35,042 cells from two platinum-sensitive and three platinum resistance HGSC clinical cases downloaded from Gene Expression Omnibus (GSE154600) and annotated tumor cells as platinum-resistant or sensitive based on the clinical trait. The study systematically investigated the inter-tumoral (using differential expression analysis, CellChat, and SCENIC) and intra-tumoral heterogeneity (using enrichment analysis such as gene set enrichment analysis, as well as gene set variation analysis, weighted gene correlation network analysis, and Pseudo-time analysis) of HGSC. RESULTS A cellular map of HGSC generated by profiling 30,780 cells was revisualized using Uniform Manifold Approximation and Projection. The inter-tumoral heterogeneity was demonstrated with intercellular ligand-receptor interactions of major cell types and regulons networks. FN1, SPP1, and COLLAGEN play important roles in the cross-talk between tumor cells and the tumor microenvironment. HOXA7, HOXA9_extended, TBL1XR1_extended, KLF5, SOX17, and CTCFL regulons consistent with the distribution of platinum-resistant HGSC cells were the high activity regions. The intra-tumoral heterogeneity of HGSC was presented with corresponding functional pathway characteristics, tumor stemness features, and the cellular lineage transition from platinum-sensitive to resistant condition. Epithelial-mesenchymal transition played an important role in platinum resistance, whereas oxidative phosphorylation was the opposite. There was a small subset of cells in platinum-sensitive samples that had transcriptomic characteristics similar to platinum-resistant cells, suggesting that the progression of platinum resistance in ovarian cancer is inevitable. CONCLUSIONS The present study describes a view of HGSC at single-cell resolution that reveals the characteristics of the HGSC heterogeneity and provides a useful framework for future investigation of platinum-resistant.
Collapse
Affiliation(s)
- Zixun Wang
- Nanshan School, Guangzhou Medical University, Guangzhou, China
| | - Linlin Yang
- Department of Gynecological Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Municipal Key Clinical Specialty, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| | - Xiaoye Su
- South of Nursing Department, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaomei Wu
- OB&GYN Department, Jiahui International Hospital, Shanghai, China
| | - Rongjia Su
- Department of Gynecological Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Municipal Key Clinical Specialty, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| |
Collapse
|
36
|
Hatamikia S, Nougaret S, Panico C, Avesani G, Nero C, Boldrini L, Sala E, Woitek R. Ovarian cancer beyond imaging: integration of AI and multiomics biomarkers. Eur Radiol Exp 2023; 7:50. [PMID: 37700218 PMCID: PMC10497482 DOI: 10.1186/s41747-023-00364-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 06/19/2023] [Indexed: 09/14/2023] Open
Abstract
High-grade serous ovarian cancer is the most lethal gynaecological malignancy. Detailed molecular studies have revealed marked intra-patient heterogeneity at the tumour microenvironment level, likely contributing to poor prognosis. Despite large quantities of clinical, molecular and imaging data on ovarian cancer being accumulated worldwide and the rise of high-throughput computing, data frequently remain siloed and are thus inaccessible for integrated analyses. Only a minority of studies on ovarian cancer have set out to harness artificial intelligence (AI) for the integration of multiomics data and for developing powerful algorithms that capture the characteristics of ovarian cancer at multiple scales and levels. Clinical data, serum markers, and imaging data were most frequently used, followed by genomics and transcriptomics. The current literature proves that integrative multiomics approaches outperform models based on single data types and indicates that imaging can be used for the longitudinal tracking of tumour heterogeneity in space and potentially over time. This review presents an overview of studies that integrated two or more data types to develop AI-based classifiers or prediction models.Relevance statement Integrative multiomics models for ovarian cancer outperform models using single data types for classification, prognostication, and predictive tasks.Key points• This review presents studies using multiomics and artificial intelligence in ovarian cancer.• Current literature proves that integrative multiomics outperform models using single data types.• Around 60% of studies used a combination of imaging with clinical data.• The combination of genomics and transcriptomics with imaging data was infrequently used.
Collapse
Affiliation(s)
- Sepideh Hatamikia
- Research Center for Medical Image Analysis and AI (MIAAI), Danube Private University, Krems, Austria.
- Austrian Center for Medical Innovation and Technology (ACMIT), Wiener Neustadt, Austria.
| | - Stephanie Nougaret
- Department of Radiology, Montpellier Cancer Institute, University of Montpellier, Montpellier, France
| | - Camilla Panico
- Dipartimento di Diagnostica Per Immagini, Radioterapia Oncologica Ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Giacomo Avesani
- Dipartimento di Diagnostica Per Immagini, Radioterapia Oncologica Ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Camilla Nero
- Scienze Della Salute Della Donna, del bambino e Di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Luca Boldrini
- Dipartimento di Diagnostica Per Immagini, Radioterapia Oncologica Ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Evis Sala
- Dipartimento di Diagnostica Per Immagini, Radioterapia Oncologica Ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Ramona Woitek
- Research Center for Medical Image Analysis and AI (MIAAI), Danube Private University, Krems, Austria
- Department of Radiology, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK
| |
Collapse
|
37
|
Liu K, He S, Sun S, Zhang X, He Y, Quan F, Pang B, Xiao Y. Computational Quantification of Cancer Immunoediting. Cancer Immunol Res 2023; 11:1159-1167. [PMID: 37540180 DOI: 10.1158/2326-6066.cir-22-0926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 03/31/2023] [Accepted: 07/10/2023] [Indexed: 08/05/2023]
Abstract
The remarkable success of cancer immunotherapy has revolutionized cancer treatment, emphasizing the importance of tumor-immune interactions in cancer evolution and treatment. Cancer immunoediting describes the dual effect of tumor-immune interactions: inhibiting tumor growth by destroying tumor cells and facilitating tumor escape by shaping tumor immunogenicity. To better understand tumor-immune interactions, it is critical to develop computational methods to measure the extent of cancer immunoediting. In this review, we provide a comprehensive overview of the computational methods for quantifying cancer immunoediting. We focus on describing the basic ideas, computational processes, advantages, limitations, and influential factors. We also summarize recent advances in quantifying cancer immunoediting studies and highlight future research directions. As the methods for quantifying cancer immunoediting are continuously improved, future research will further help define the role of immunity in tumorigenesis and hopefully provide a basis for the design of new personalized cancer immunotherapy strategies.
Collapse
Affiliation(s)
- Kun Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Shengyuan He
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Shangqin Sun
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Xinxin Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yanzhen He
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Fei Quan
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Bo Pang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yun Xiao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| |
Collapse
|
38
|
Smith P, Bradley T, Gavarró LM, Goranova T, Ennis DP, Mirza HB, De Silva D, Piskorz AM, Sauer CM, Al-Khalidi S, Funingana IG, Reinius MAV, Giannone G, Lewsley LA, Stobo J, McQueen J, Bryson G, Eldridge M, Macintyre G, Markowetz F, Brenton JD, McNeish IA. The copy number and mutational landscape of recurrent ovarian high-grade serous carcinoma. Nat Commun 2023; 14:4387. [PMID: 37474499 PMCID: PMC10359414 DOI: 10.1038/s41467-023-39867-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 06/28/2023] [Indexed: 07/22/2023] Open
Abstract
The drivers of recurrence and resistance in ovarian high grade serous carcinoma remain unclear. We investigate the acquisition of resistance by collecting tumour biopsies from a cohort of 276 women with relapsed ovarian high grade serous carcinoma in the BriTROC-1 study. Panel sequencing shows close concordance between diagnosis and relapse, with only four discordant cases. There is also very strong concordance in copy number between diagnosis and relapse, with no significant difference in purity, ploidy or focal somatic copy number alterations, even when stratified by platinum sensitivity or prior chemotherapy lines. Copy number signatures are strongly correlated with immune cell infiltration, whilst diagnosis samples from patients with primary platinum resistance have increased rates of CCNE1 and KRAS amplification and copy number signature 1 exposure. Our data show that the ovarian high grade serous carcinoma genome is remarkably stable between diagnosis and relapse and acquired chemotherapy resistance does not select for common copy number drivers.
Collapse
Affiliation(s)
- Philip Smith
- CRUK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Thomas Bradley
- CRUK Cambridge Institute, University of Cambridge, Cambridge, UK
| | | | - Teodora Goranova
- CRUK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Darren P Ennis
- Ovarian Cancer Action Research Centre, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Hasan B Mirza
- Ovarian Cancer Action Research Centre, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Dilrini De Silva
- CRUK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Anna M Piskorz
- CRUK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Carolin M Sauer
- CRUK Cambridge Institute, University of Cambridge, Cambridge, UK
| | | | - Ionut-Gabriel Funingana
- CRUK Cambridge Institute, University of Cambridge, Cambridge, UK
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Marika A V Reinius
- CRUK Cambridge Institute, University of Cambridge, Cambridge, UK
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Gaia Giannone
- Ovarian Cancer Action Research Centre, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Liz-Anne Lewsley
- CRUK Glasgow Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Jamie Stobo
- CRUK Glasgow Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - John McQueen
- CRUK Glasgow Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Gareth Bryson
- Department of Histopathology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Matthew Eldridge
- CRUK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Geoff Macintyre
- CRUK Cambridge Institute, University of Cambridge, Cambridge, UK
- Centro Nacional de Investigaciones Oncológicas, Madrid, Spain
| | | | - James D Brenton
- CRUK Cambridge Institute, University of Cambridge, Cambridge, UK.
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
| | - Iain A McNeish
- Ovarian Cancer Action Research Centre, Department of Surgery and Cancer, Imperial College London, London, UK.
| |
Collapse
|
39
|
Kotnik EN, Mullen MM, Spies NC, Li T, Inkman M, Zhang J, Martins-Rodrigues F, Hagemann IS, McCourt CK, Thaker PH, Hagemann AR, Powell MA, Mutch DG, Khabele D, Longmore GD, Mardis ER, Maher CA, Miller CA, Fuh KC. Genetic characterization of primary and metastatic high-grade serous ovarian cancer tumors reveals distinct features associated with survival. Commun Biol 2023; 6:688. [PMID: 37400526 DOI: 10.1038/s42003-023-05026-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 06/07/2023] [Indexed: 07/05/2023] Open
Abstract
High-grade serous ovarian cancer (HGSC) is the most lethal histotype of ovarian cancer and the majority of cases present with metastasis and late-stage disease. Over the last few decades, the overall survival for patients has not significantly improved, and there are limited targeted treatment options. We aimed to better characterize the distinctions between primary and metastatic tumors based on short- or long-term survival. We characterized 39 matched primary and metastatic tumors by whole exome and RNA sequencing. Of these, 23 were short-term (ST) survivors (overall survival (OS) < 3.5 years) and 16 were long-term (LT) survivors (OS > 5 years). We compared somatic mutations, copy number alterations, mutational burden, differential gene expression, immune cell infiltration, and gene fusion predictions between the primary and metastatic tumors and between ST and LT survivor cohorts. There were few differences in RNA expression between paired primary and metastatic tumors, but significant differences between the transcriptomes of LT and ST survivors in both their primary and metastatic tumors. These findings will improve the understanding of the genetic variation in HGSC that exist between patients with different prognoses and better inform treatments by identifying new targets for drug development.
Collapse
Affiliation(s)
- Emilee N Kotnik
- Division of Gynecologic Oncology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Center for Reproductive Health Sciences, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Department of Obstetrics and Gynecology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
| | - Mary M Mullen
- Division of Gynecologic Oncology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Center for Reproductive Health Sciences, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Department of Obstetrics and Gynecology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
| | - Nicholas C Spies
- Department of Obstetrics and Gynecology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University in St. Louis, 660 S. Euclid Ave CB, 8118, St. Louis, MO, USA
| | - Tiandao Li
- Department of Developmental Biology, Washington University in St. Louis, 660 S. Euclid Ave CB, 8103, St. Louis, MO, USA
| | - Matthew Inkman
- Department of Radiation Oncology, Washington University in St. Louis, 660 S. Euclid Ave CB, 8224, St. Louis, MO, USA
| | - Jin Zhang
- Department of Radiation Oncology, Washington University in St. Louis, 660 S. Euclid Ave CB, 8224, St. Louis, MO, USA
| | - Fernanda Martins-Rodrigues
- Division of Oncology, Washington University in St. Louis, 660 S. Euclid Ave CB, 8069, St. Louis, MO, USA
| | - Ian S Hagemann
- Division of Gynecologic Oncology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Center for Reproductive Health Sciences, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Department of Obstetrics and Gynecology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University in St. Louis, 660 S. Euclid Ave CB, 8118, St. Louis, MO, USA
| | - Carolyn K McCourt
- Division of Gynecologic Oncology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Center for Reproductive Health Sciences, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Department of Obstetrics and Gynecology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
| | - Premal H Thaker
- Division of Gynecologic Oncology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Center for Reproductive Health Sciences, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Department of Obstetrics and Gynecology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
| | - Andrea R Hagemann
- Division of Gynecologic Oncology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Center for Reproductive Health Sciences, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Department of Obstetrics and Gynecology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
| | - Matthew A Powell
- Division of Gynecologic Oncology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Center for Reproductive Health Sciences, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Department of Obstetrics and Gynecology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
| | - David G Mutch
- Division of Gynecologic Oncology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Center for Reproductive Health Sciences, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Department of Obstetrics and Gynecology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
| | - Dineo Khabele
- Division of Gynecologic Oncology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Center for Reproductive Health Sciences, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
- Department of Obstetrics and Gynecology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA
| | - Gregory D Longmore
- Division of Oncology, Washington University in St. Louis, 660 S. Euclid Ave CB, 8069, St. Louis, MO, USA
- ICCE Institute, Washington University in St. Louis, 660 S. Euclid Ave CB, 8225, St. Louis, MO, USA
| | - Elaine R Mardis
- Institute for Genomic Medicine, Nationwide Children's Hospital, 575 Childrens Crossroad, Columbus, OH, USA
| | - Christopher A Maher
- Division of Oncology, Washington University in St. Louis, 660 S. Euclid Ave CB, 8069, St. Louis, MO, USA
- McDonnell Genome Institute, Washington University in St. Louis, 4444 Forest Park Avenue, CB 8501, St. Louis, MO, USA
- Department of Internal Medicine, Washington University in St. Louis, 660 S. Euclid Ave, MSC 8066-22-6602, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University in St. Louis, McKelvey School of Engineering, 1 Brookings Drive, St. Louis, MO, USA
| | - Christopher A Miller
- Division of Oncology, Washington University in St. Louis, 660 S. Euclid Ave CB, 8069, St. Louis, MO, USA
| | - Katherine C Fuh
- Division of Gynecologic Oncology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA.
- Center for Reproductive Health Sciences, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA.
- Department of Obstetrics and Gynecology, Washington University in St. Louis, 660 S. Euclid Ave Mailstop, 8064, St. Louis, MO, USA.
- Department of Obstetrics and Gynecology & Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.
| |
Collapse
|
40
|
Colombo I, Karakasis K, Suku S, Oza AM. Chasing Immune Checkpoint Inhibitors in Ovarian Cancer: Novel Combinations and Biomarker Discovery. Cancers (Basel) 2023; 15:3220. [PMID: 37370830 DOI: 10.3390/cancers15123220] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 06/10/2023] [Accepted: 06/15/2023] [Indexed: 06/29/2023] Open
Abstract
A deep understanding of the tumor microenvironment and the recognition of tumor-infiltrating lymphocytes as a prognostic factor have resulted in major milestones in immunotherapy that have led to therapeutic advances in treating many cancers. Yet, the translation of this knowledge to clinical success for ovarian cancer remains a challenge. The efficacy of immune checkpoint inhibitors as single agents or combined with chemotherapy has been unsatisfactory, leading to the exploration of alternative combination strategies with targeted agents (e.g., poly-ADP-ribose inhibitors (PARP)and angiogenesis inhibitors) and novel immunotherapy approaches. Among the different histological subtypes, clear cell ovarian cancer has shown a higher sensitivity to immunotherapy. A deeper understanding of the mechanism of immune resistance within the context of ovarian cancer and the identification of predictive biomarkers remain central discovery benchmarks to be realized. This will be critical to successfully define the precision use of immune checkpoint inhibitors for the treatment of ovarian cancer.
Collapse
Affiliation(s)
- Ilaria Colombo
- Oncology Institute of Southern Switzerland (IOSI), Ente Ospedaliero Cantonale (EOC), Via A. Gallino, 6500 Bellinzona, Switzerland
| | - Katherine Karakasis
- Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, ON M5G 2M9, Canada
| | - Sneha Suku
- Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, ON M5G 2M9, Canada
| | - Amit M Oza
- Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, ON M5G 2M9, Canada
| |
Collapse
|
41
|
Cunnea P, Curry EW, Christie EL, Nixon K, Kwok CH, Pandey A, Wulandari R, Thol K, Ploski J, Morera-Albert C, McQuaid S, Lozano-Kuehne J, Clark JJ, Krell J, Stronach EA, McNeish IA, Bowtell DDL, Fotopoulou C. Spatial and temporal intra-tumoral heterogeneity in advanced HGSOC: Implications for surgical and clinical outcomes. Cell Rep Med 2023:101055. [PMID: 37220750 DOI: 10.1016/j.xcrm.2023.101055] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 12/02/2022] [Accepted: 04/28/2023] [Indexed: 05/25/2023]
Abstract
Limited evidence exists on the impact of spatial and temporal heterogeneity of high-grade serous ovarian cancer (HGSOC) on tumor evolution, clinical outcomes, and surgical operability. We perform systematic multi-site tumor mapping at presentation and matched relapse from 49 high-tumor-burden patients, operated up front. From SNP array-derived copy-number data, we categorize dendrograms representing tumor clonal evolution as sympodial or dichotomous, noting most chemo-resistant patients favor simpler sympodial evolution. Three distinct tumor evolutionary patterns from primary to relapse are identified, demonstrating recurrent disease may emerge from pre-existing or newly detected clones. Crucially, we identify spatial heterogeneity for clinically actionable homologous recombination deficiency scores and for poor prognosis biomarkers CCNE1 and MYC. Copy-number signature, phenotypic, proteomic, and proliferative-index heterogeneity further highlight HGSOC complexity. This study explores HGSOC evolution and dissemination across space and time, its impact on optimal surgical cytoreductive effort and clinical outcomes, and its consequences for clinical decision-making.
Collapse
Affiliation(s)
- Paula Cunnea
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK.
| | - Edward W Curry
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK
| | - Elizabeth L Christie
- Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Katherine Nixon
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK
| | - Chun Hei Kwok
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK
| | - Ahwan Pandey
- Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia
| | - Ratri Wulandari
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK
| | - Kerstin Thol
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK
| | - Jennifer Ploski
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK
| | - Cristina Morera-Albert
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK
| | | | - Jingky Lozano-Kuehne
- Experimental Cancer Medicine Centre, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK
| | - James J Clark
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK
| | - Jonathan Krell
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK
| | - Euan A Stronach
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK
| | - Iain A McNeish
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK
| | - David D L Bowtell
- Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Christina Fotopoulou
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK; West London Gynaecological Cancer Centre, Imperial College NHS Trust, London W12 0HS, UK.
| |
Collapse
|
42
|
Lahtinen A, Lavikka K, Virtanen A, Li Y, Jamalzadeh S, Skorda A, Lauridsen AR, Zhang K, Marchi G, Isoviita VM, Ariotta V, Lehtonen O, Muranen TA, Huhtinen K, Carpén O, Hietanen S, Senkowski W, Kallunki T, Häkkinen A, Hynninen J, Oikkonen J, Hautaniemi S. Evolutionary states and trajectories characterized by distinct pathways stratify patients with ovarian high grade serous carcinoma. Cancer Cell 2023:S1535-6108(23)00143-5. [PMID: 37207655 DOI: 10.1016/j.ccell.2023.04.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 02/15/2023] [Accepted: 04/25/2023] [Indexed: 05/21/2023]
Abstract
Ovarian high-grade serous carcinoma (HGSC) is typically diagnosed at an advanced stage, with multiple genetically heterogeneous clones existing in the tumors long before therapeutic intervention. Herein we integrate clonal composition and topology using whole-genome sequencing data from 510 samples of 148 patients with HGSC in the prospective, longitudinal, multiregion DECIDER study. Our results reveal three evolutionary states, which have distinct features in genomics, pathways, and morphological phenotypes, and significant association with treatment response. Nested pathway analysis suggests two evolutionary trajectories between the states. Experiments with five tumor organoids and three PI3K inhibitors support targeting tumors with enriched PI3K/AKT pathway with alpelisib. Heterogeneity analysis of samples from multiple anatomical sites shows that site-of-origin samples have 70% more unique clones than metastatic tumors or ascites. In conclusion, these analysis and visualization methods enable integrative tumor evolution analysis to identify patient subtypes using data from longitudinal, multiregion cohorts.
Collapse
Affiliation(s)
- Alexandra Lahtinen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Kari Lavikka
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Anni Virtanen
- Department of Pathology, University of Helsinki and HUS Diagnostic Center, Helsinki University Hospital, 00029 Helsinki, Finland
| | - Yilin Li
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Sanaz Jamalzadeh
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Aikaterini Skorda
- Cancer Invasion and Resistance Group, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Anna Røssberg Lauridsen
- Cancer Invasion and Resistance Group, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Kaiyang Zhang
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Giovanni Marchi
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Veli-Matti Isoviita
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Valeria Ariotta
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Oskari Lehtonen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Taru A Muranen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Kaisa Huhtinen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; Cancer Research Unit, Institute of Biomedicine and FICAN West Cancer Centre, University of Turku, 20014 Turku, Finland
| | - Olli Carpén
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; Department of Pathology, University of Helsinki and HUS Diagnostic Center, Helsinki University Hospital, 00029 Helsinki, Finland
| | - Sakari Hietanen
- Department of Obstetrics and Gynaecology, University of Turku and Turku University Hospital, 200521 Turku, Finland
| | - Wojciech Senkowski
- Biotech Research and Innovation Centre, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Tuula Kallunki
- Cancer Invasion and Resistance Group, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark; Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Antti Häkkinen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Johanna Hynninen
- Department of Obstetrics and Gynaecology, University of Turku and Turku University Hospital, 200521 Turku, Finland
| | - Jaana Oikkonen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
| | - Sampsa Hautaniemi
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
| |
Collapse
|
43
|
CD4 + T cells in cancer. NATURE CANCER 2023; 4:317-329. [PMID: 36894637 DOI: 10.1038/s43018-023-00521-2] [Citation(s) in RCA: 117] [Impact Index Per Article: 117.0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 01/20/2023] [Indexed: 03/11/2023]
Abstract
Cancer immunology and immunotherapy are driving forces of research and development in oncology, mostly focusing on CD8+ T cells and the tumor microenvironment. Recent progress highlights the importance of CD4+ T cells, corresponding to the long-known fact that CD4+ T cells are central players and coordinators of innate and antigen-specific immune responses. Moreover, they have now been recognized as anti-tumor effector cells in their own right. Here we review the current status of CD4+ T cells in cancer, which hold great promise for improving knowledge and therapies in cancer.
Collapse
|
44
|
Zapata L, Caravagna G, Williams MJ, Lakatos E, AbdulJabbar K, Werner B, Chowell D, James C, Gourmet L, Milite S, Acar A, Riaz N, Chan TA, Graham TA, Sottoriva A. Immune selection determines tumor antigenicity and influences response to checkpoint inhibitors. Nat Genet 2023; 55:451-460. [PMID: 36894710 PMCID: PMC10011129 DOI: 10.1038/s41588-023-01313-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 01/25/2023] [Indexed: 03/11/2023]
Abstract
In cancer, evolutionary forces select for clones that evade the immune system. Here we analyzed >10,000 primary tumors and 356 immune-checkpoint-treated metastases using immune dN/dS, the ratio of nonsynonymous to synonymous mutations in the immunopeptidome, to measure immune selection in cohorts and individuals. We classified tumors as immune edited when antigenic mutations were removed by negative selection and immune escaped when antigenicity was covered up by aberrant immune modulation. Only in immune-edited tumors was immune predation linked to CD8 T cell infiltration. Immune-escaped metastases experienced the best response to immunotherapy, whereas immune-edited patients did not benefit, suggesting a preexisting resistance mechanism. Similarly, in a longitudinal cohort, nivolumab treatment removes neoantigens exclusively in the immunopeptidome of nonimmune-edited patients, the group with the best overall survival response. Our work uses dN/dS to differentiate between immune-edited and immune-escaped tumors, measuring potential antigenicity and ultimately helping predict response to treatment.
Collapse
Affiliation(s)
- Luis Zapata
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
| | - Giulio Caravagna
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Cancer Data Science Laboratory, Dipartimento di Matematica e Geoscienze, Università degli Studi di Trieste, Trieste, Italy
| | - Marc J Williams
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan 10 Kettering Cancer Center, New York, NY, USA
| | - Eszter Lakatos
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Khalid AbdulJabbar
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Benjamin Werner
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Diego Chowell
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Chela James
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Lucie Gourmet
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Salvatore Milite
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Ahmet Acar
- Department of Biological Sciences, Middle East Technical University, Universiteler Mah, Ankara, Turkey
| | - Nadeem Riaz
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Timothy A Chan
- Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH, USA
| | - Trevor A Graham
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
| | - Andrea Sottoriva
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
- Computational Biology Research Centre, Human Technopole, Milan, Italy.
| |
Collapse
|
45
|
Panico C, Avesani G, Zormpas-Petridis K, Rundo L, Nero C, Sala E. Radiomics and Radiogenomics of Ovarian Cancer. Radiol Clin North Am 2023; 61:749-760. [PMID: 37169435 DOI: 10.1016/j.rcl.2023.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
Abstract
Ovarian cancer, one of the deadliest gynecologic malignancies, is characterized by high intra- and inter-site genomic and phenotypic heterogeneity. The traditional information provided by the conventional interpretation of diagnostic imaging studies cannot adequately represent this heterogeneity. Radiomics analyses can capture the complex patterns related to the microstructure of the tissues and provide quantitative information about them. This review outlines how radiomics and its integration with other quantitative biological information, like genomics and proteomics, can impact the clinical management of ovarian cancer.
Collapse
|
46
|
Burdett NL, Willis MO, Alsop K, Hunt AL, Pandey A, Hamilton PT, Abulez T, Liu X, Hoang T, Craig S, Fereday S, Hendley J, Garsed DW, Milne K, Kalaria S, Marshall A, Hood BL, Wilson KN, Conrads KA, Pishas KI, Ananda S, Scott CL, Antill Y, McNally O, Mileshkin L, Hamilton A, Au-Yeung G, Devereux L, Thorne H, Bild A, Bateman NW, Maxwell GL, Chang JT, Conrads TP, Nelson BH, Bowtell DDL, Christie EL. Multiomic analysis of homologous recombination-deficient end-stage high-grade serous ovarian cancer. Nat Genet 2023; 55:437-450. [PMID: 36849657 DOI: 10.1038/s41588-023-01320-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 01/26/2023] [Indexed: 03/01/2023]
Abstract
High-grade serous ovarian cancer (HGSC) is frequently characterized by homologous recombination (HR) DNA repair deficiency and, while most such tumors are sensitive to initial treatment, acquired resistance is common. We undertook a multiomics approach to interrogate molecular diversity in end-stage disease, using multiple autopsy samples collected from 15 women with HR-deficient HGSC. Patients had polyclonal disease, and several resistance mechanisms were identified within most patients, including reversion mutations and HR restoration by other means. We also observed frequent whole-genome duplication and global changes in immune composition with evidence of immune escape. This analysis highlights diverse evolutionary changes within HGSC that evade therapy and ultimately overwhelm individual patients.
Collapse
Affiliation(s)
- Nikki L Burdett
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
- Department of Medical Oncology, Eastern Health, Box Hill, Victoria, Australia
| | | | - Kathryn Alsop
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Allison L Hunt
- Women's Health Integrated Research Center, Inova Women's Service Line, Inova Health System, Annandale, Victoria, USA
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Ahwan Pandey
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | | | - Tamara Abulez
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
| | - Xuan Liu
- Department of Integrative Biology and Pharmacology, The University of Texas Health Science Center, Houston, TX, USA
| | - Therese Hoang
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Stuart Craig
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Sian Fereday
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Joy Hendley
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Dale W Garsed
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Katy Milne
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
| | - Shreena Kalaria
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
| | - Ashley Marshall
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
| | - Brian L Hood
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
| | - Katlin N Wilson
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
| | - Kelly A Conrads
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
| | - Kathleen I Pishas
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Sumitra Ananda
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Department of Medical Oncology, Western Health, St Albans, Victoria, Australia
- Department of Medicine, Western Health, The University of Melbourne, St Albans, Victoria, Australia
- Epworth Healthcare, East Melbourne, Victoria, Australia
| | - Clare L Scott
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Yoland Antill
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
- Cabrini Health, Malvern, Victoria, Australia
- Department of Medical Oncology, Peninsula health, Frankston, Victoria, Australia
| | - Orla McNally
- The Royal Women's Hospital, Parkville, Victoria, Australia
- Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Linda Mileshkin
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Anne Hamilton
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
- The Royal Women's Hospital, Parkville, Victoria, Australia
| | - George Au-Yeung
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Lisa Devereux
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Heather Thorne
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Andrea Bild
- Department of Medical Oncology and Therapeutics, City of Hope Comprehensive Cancer Center, Monrovia, CA, USA
| | - Nicholas W Bateman
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University, Bethesda, MD, USA
| | - G Larry Maxwell
- Women's Health Integrated Research Center, Inova Women's Service Line, Inova Health System, Annandale, Victoria, USA
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University, Bethesda, MD, USA
| | - Jeffrey T Chang
- Department of Integrative Biology and Pharmacology, The University of Texas Health Science Center, Houston, TX, USA
| | - Thomas P Conrads
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University, Bethesda, MD, USA
| | - Brad H Nelson
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada
| | - David D L Bowtell
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Elizabeth L Christie
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia.
| |
Collapse
|
47
|
Mei S, Chen X, Wang K, Chen Y. Tumor microenvironment in ovarian cancer peritoneal metastasis. Cancer Cell Int 2023; 23:11. [PMID: 36698173 PMCID: PMC9875479 DOI: 10.1186/s12935-023-02854-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 01/17/2023] [Indexed: 01/26/2023] Open
Abstract
Ovarian cancer (OC) is one of the most common gynecological malignancies with high morbidity and mortality. The peritoneum is one of the most common metastatic sites in ovarian cancer, involving large amounts of ascites. However, its mechanism is unclear. The peritoneal microenvironment composed of peritoneal effusion and peritoneum creates favorable conditions for ovarian cancer progression and metastasis. Here, we reviewed the peritoneal metastasis patterns and molecular mechanisms of ovarian cancer, as well as major components of the peritoneal microenvironment, peritoneal effusion, and immune microenvironment, and investigated the relationship between the peritoneal microenvironment and ovarian cancer metastasis.
Collapse
Affiliation(s)
- Shuangshuang Mei
- grid.469636.8Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Xi Men Road, Taizhou, 317000 Zhejiang China
| | - Xing Chen
- grid.469636.8Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Xi Men Road, Taizhou, 317000 Zhejiang China
| | - Kai Wang
- grid.469636.8Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Xi Men Road, Taizhou, 317000 Zhejiang China
| | - Yuxin Chen
- grid.469636.8Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University (Enze Hospital, Taizhou Enze Medical Center Group), Tong Yang Road, Taizhou, 318053 Zhejiang China
| |
Collapse
|
48
|
Abbas-Aghababazadeh F, Sasamoto N, Townsend MK, Huang T, Terry KL, Vitonis AF, Elias KM, Poole EM, Hecht JL, Tworoger SS, Fridley BL. Predictors of residual disease after debulking surgery in advanced stage ovarian cancer. Front Oncol 2023; 13:1090092. [PMID: 36761962 PMCID: PMC9902593 DOI: 10.3389/fonc.2023.1090092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 01/06/2023] [Indexed: 01/25/2023] Open
Abstract
Objective Optimal debulking with no macroscopic residual disease strongly predicts ovarian cancer survival. The ability to predict likelihood of optimal debulking, which may be partially dependent on tumor biology, could inform clinical decision-making regarding use of neoadjuvant chemotherapy. Thus, we developed a prediction model including epidemiological factors and tumor markers of residual disease after primary debulking surgery. Methods Univariate analyses examined associations of 11 pre-diagnosis epidemiologic factors (n=593) and 24 tumor markers (n=204) with debulking status among incident, high-stage, epithelial ovarian cancer cases from the Nurses' Health Studies and New England Case Control study. We used Bayesian model averaging (BMA) to develop prediction models of optimal debulking with 5x5-fold cross-validation and calculated the area under the curve (AUC). Results Current aspirin use was associated with lower odds of optimal debulking compared to never use (OR=0.52, 95%CI=0.31-0.86) and two tissue markers, ADRB2 (OR=2.21, 95%CI=1.23-4.41) and FAP (OR=1.91, 95%CI=1.24-3.05) were associated with increased odds of optimal debulking. The BMA selected aspirin, parity, and menopausal status as the epidemiologic/clinical predictors with the posterior effect probability ≥20%. While the prediction model with epidemiologic/clinical predictors had low performance (average AUC=0.49), the model adding tissue biomarkers showed improved, but weak, performance (average AUC=0.62). Conclusions Addition of ovarian tumor tissue markers to our multivariable prediction models based on epidemiologic/clinical data slightly improved the model performance, suggesting debulking status may be in part driven by tumor characteristics. Larger studies are warranted to identify those at high risk of poor surgical outcomes informing personalized treatment.
Collapse
Affiliation(s)
- Farnoosh Abbas-Aghababazadeh
- Department of Biostatistics & Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States,University Health Network, Princess Margaret Cancer Center, Toronto, ON, Canada
| | - Naoko Sasamoto
- Department of Obstetrics and Gynecology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
| | - Mary K. Townsend
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | - Tianyi Huang
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, United States
| | - Kathryn L. Terry
- Department of Obstetrics and Gynecology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
| | - Allison F. Vitonis
- Department of Obstetrics and Gynecology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
| | - Kevin M. Elias
- Department of Obstetrics and Gynecology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
| | | | - Jonathan L. Hecht
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Shelley S. Tworoger
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | - Brooke L. Fridley
- Department of Biostatistics & Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States,*Correspondence: Brooke L. Fridley,
| |
Collapse
|
49
|
Multiparameter single-cell proteomic technologies give new insights into the biology of ovarian tumors. Semin Immunopathol 2023; 45:43-59. [PMID: 36635516 PMCID: PMC9974728 DOI: 10.1007/s00281-022-00979-9] [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] [Received: 10/31/2022] [Accepted: 12/11/2022] [Indexed: 01/13/2023]
Abstract
High-grade serous ovarian cancer (HGSOC) is the most lethal gynecological malignancy. Its diagnosis at advanced stage compounded with its excessive genomic and cellular heterogeneity make curative treatment challenging. Two critical therapeutic challenges to overcome are carboplatin resistance and lack of response to immunotherapy. Carboplatin resistance results from diverse cell autonomous mechanisms which operate in different combinations within and across tumors. The lack of response to immunotherapy is highly likely to be related to an immunosuppressive HGSOC tumor microenvironment which overrides any clinical benefit. Results from a number of studies, mainly using transcriptomics, indicate that the immune tumor microenvironment (iTME) plays a role in carboplatin response. However, in patients receiving treatment, the exact mechanistic details are unclear. During the past decade, multiplex single-cell proteomic technologies have come to the forefront of biomedical research. Mass cytometry or cytometry by time-of-flight, measures up to 60 parameters in single cells that are in suspension. Multiplex cellular imaging technologies allow simultaneous measurement of up to 60 proteins in single cells with spatial resolution and interrogation of cell-cell interactions. This review suggests that functional interplay between cell autonomous responses to carboplatin and the HGSOC immune tumor microenvironment could be clarified through the application of multiplex single-cell proteomic technologies. We conclude that for better clinical care, multiplex single-cell proteomic technologies could be an integral component of multimodal biomarker development that also includes genomics and radiomics. Collection of matched samples from patients before and on treatment will be critical to the success of these efforts.
Collapse
|
50
|
Xu FQ, Dong MM, Wang ZF, Cao LD. Metabolic rearrangements and intratumoral heterogeneity for immune response in hepatocellular carcinoma. Front Immunol 2023; 14:1083069. [PMID: 36776894 PMCID: PMC9908004 DOI: 10.3389/fimmu.2023.1083069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023] Open
Abstract
Liver cancer is one of the most common malignant tumors globally. Not only is it difficult to diagnose, but treatments are scarce and the prognosis is generally poor. Hepatocellular carcinoma (HCC) is the most common type of liver cancer. Aggressive cancer cells, such as those found in HCC, undergo extensive metabolic rewiring as tumorigenesis, the unique feature, ultimately causes adaptation to the neoplastic microenvironment. Intratumoral heterogeneity (ITH) is defined as the presence of distinct genetic features and different phenotypes in the same tumoral region. ITH, a property unique to malignant cancers, results in differences in many different features of tumors, including, but not limited to, tumor growth and resistance to chemotherapy, which in turn is partly responsible for metabolic reprogramming. Moreover, the different metabolic phenotypes might also activate the immune response to varying degrees and help tumor cells escape detection by the immune system. In this review, we summarize the reprogramming of glucose metabolism and tumoral heterogeneity and their associations that occur in HCC, to obtain a better understanding of the mechanisms of HCC oncogenesis.
Collapse
Affiliation(s)
- Fei-Qi Xu
- General Surgery, Cancer Center, Department of Hepatobiliary and Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.,The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Meng-Meng Dong
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
| | - Zhi-Fei Wang
- General Surgery, Cancer Center, Department of Hepatobiliary and Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Li-Dong Cao
- General Surgery, Cancer Center, Department of Hepatobiliary and Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| |
Collapse
|