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Njomen E, Hayward RE, DeMeester KE, Ogasawara D, Dix MM, Nguyen T, Ashby P, Simon GM, Schreiber SL, Melillo B, Cravatt BF. Multi-tiered chemical proteomic maps of tryptoline acrylamide-protein interactions in cancer cells. Nat Chem 2024; 16:1592-1604. [PMID: 39138346 DOI: 10.1038/s41557-024-01601-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 07/12/2024] [Indexed: 08/15/2024]
Abstract
Covalent chemistry is a versatile approach for expanding the ligandability of the human proteome. Activity-based protein profiling (ABPP) can infer the specific residues modified by electrophilic compounds through competition with broadly reactive probes. However, the extent to which such residue-directed platforms fully assess the protein targets of electrophilic compounds in cells remains unclear. Here we evaluate a complementary protein-directed ABPP method that identifies proteins showing stereoselective reactivity with alkynylated, chiral electrophilic compounds-termed stereoprobes. Integration of protein- and cysteine-directed data from cancer cells treated with tryptoline acrylamide stereoprobes revealed generally well-correlated ligandability maps and highlighted features, such as protein size and the proteotypicity of cysteine-containing peptides, that explain gaps in each ABPP platform. In total, we identified stereoprobe binding events for >300 structurally and functionally diverse proteins, including compounds that stereoselectively and site-specifically disrupt MAD2L1BP interactions with the spindle assembly checkpoint complex leading to delayed mitotic exit in cancer cells.
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Affiliation(s)
- Evert Njomen
- Department of Chemistry, Scripps Research, La Jolla, CA, USA.
| | | | | | | | - Melissa M Dix
- Department of Chemistry, Scripps Research, La Jolla, CA, USA
| | | | | | | | - Stuart L Schreiber
- Chemical Biology and Therapeutics Science Program, Broad Institute, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Bruno Melillo
- Department of Chemistry, Scripps Research, La Jolla, CA, USA.
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
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Dakal TC, Dhakar R, Beura A, Moar K, Maurya PK, Sharma NK, Ranga V, Kumar A. Emerging methods and techniques for cancer biomarker discovery. Pathol Res Pract 2024; 262:155567. [PMID: 39232287 DOI: 10.1016/j.prp.2024.155567] [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: 04/28/2024] [Revised: 08/24/2024] [Accepted: 08/28/2024] [Indexed: 09/06/2024]
Abstract
Modern cancer research depends heavily on the identification and validation of biomarkers because they provide important information about the diagnosis, prognosis, and response to treatment of the cancer. This review will provide a comprehensive overview of cancer biomarkers, including their development phases and recent breakthroughs in transcriptomics and computational techniques for detecting these biomarkers. Blood-based biomarkers have great potential for non-invasive tumor dynamics and treatment response monitoring. These include circulating tumor DNA, exosomes, and microRNAs. Comprehensive molecular profiles are provided by multi-omic technologies, which combine proteomics, metabolomics, and genomes to support the identification of biomarkers and the targeting of therapeutic interventions. Genetic changes are detected by next-generation sequencing, and patterns of protein expression are found by protein arrays and mass spectrometry. Tumor heterogeneity and clonal evolution can be understood using metabolic profiling and single-cell studies. It is projected that the use of several biomarkers-genetic, protein, mRNA, microRNA, and DNA profiles, among others-will rise, enabling multi-biomarker analysis and improving individualised treatment plans. Biomarker identification and patient outcome prediction are further improved by developments in AI algorithms and imaging techniques. Robust biomarker validation and reproducibility require cooperation between industry, academia, and doctors. Biomarkers can provide individualized care, meet unmet clinical needs, and enhance patient outcomes despite some obstacles. Precision medicine will continue to take shape as scientific research advances and the integration of biomarkers with cutting-edge technologies continues to offer a more promising future for personalized cancer care.
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Affiliation(s)
- Tikam Chand Dakal
- Genome and Computational Biology Lab, Department of Biotechnology, Mohanlal Sukhadia University, Udaipur, Rajasthan 313001, India.
| | - Ramgopal Dhakar
- Deparment of Life Science, Mewar University, Chittorgarh, Rajasthan 312901, India
| | - Abhijit Beura
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka, India
| | - Kareena Moar
- Department of Biochemistry, Central University of Haryana, Mahendergarh, Haryana 123031, India
| | - Pawan Kumar Maurya
- Department of Biochemistry, Central University of Haryana, Mahendergarh, Haryana 123031, India
| | - Narendra Kumar Sharma
- Deparment of Bioscience and Biotechnology, Banasthali Vidyapith, Tonk, Rajasthan 304022, India
| | - Vipin Ranga
- DBT-NECAB, Assam Agriculture University, Jorhat, Assam 785013, India
| | - Abhishek Kumar
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka, India; Manipal Academy of Higher Education (MAHE) Manipal, Karnataka, India.
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3
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Kim M, Kang BW, Park J, Baek JH, Kim JG. Expression of claudin 18.2 in poorly cohesive carcinoma and its association with clinicopathologic parameters in East Asian patients. Pathol Res Pract 2024; 263:155628. [PMID: 39368365 DOI: 10.1016/j.prp.2024.155628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 09/21/2024] [Accepted: 09/27/2024] [Indexed: 10/07/2024]
Abstract
BACKGROUND Poorly cohesive carcinoma (PCC) is a distinct subtype of gastric cancer with limited therapeutic options. This study investigated claudin (CLDN) 18.2 expression status in PCCs using a 43-13 A clone. METHODS We retrospectively collected 178 consecutive surgically resected stage Ⅱ-Ⅲ gastric cancer samples. Tissue microarray blocks were constructed for CLDN18.2 immunohistochemical staining. We studied CLDN18.2 expression and its association with clinicopathologic parameters. RESULTS CLDN18.2 positivity (defined by ≥ 75 % of tumor cells showing moderate to strong membranous positivity) was found in 34.8 % of the PCC cases (62/178). Approximately half of the CLDN18.2 positive PCCs demonstrated heterogeneous expression (51.6 %, 32/62). CLDN18.2 positivity was not associated with any clinicopathologic parameters examined. However, CLDN18.2 positivity tended to be more frequent in E-cadherin-positive PCCs (no loss of expression) than in E-cadherin-negative PCCs (loss of expression) (50 % vs. 27.7 %). The CLDN18.2 expression level, represented by the H-score, gradually decreased as the paraffin block storage time increased (P = 0.046). Overall survival and disease-free survival analyses showed no significant difference between CLDN18.2-positive and negative PCCs. CONCLUSIONS A significant portion of surgically resected PCC specimens showed CLDN18.2 positivity. Additionally, since the expression level of CLDN18.2 gradually decreases with increased paraffin block storage time, reflex testing can be considered at the time of the cancer diagnosis.
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Affiliation(s)
- Moonsik Kim
- Department of Pathology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Byung Woog Kang
- Department of Oncology/Hematology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Kyungpook National University Cancer Research Institute, Daegu, Republic of Korea
| | - Jihyun Park
- Department of Pathology, Yonsei University College of Medicine, Republic of Korea
| | - Jin Ho Baek
- Department of Oncology/Hematology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Kyungpook National University Cancer Research Institute, Daegu, Republic of Korea
| | - Jong Gwang Kim
- Department of Oncology/Hematology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Kyungpook National University Cancer Research Institute, Daegu, Republic of Korea.
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4
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Hickman RA, Miller AM, Holle BM, Jee J, Liu SY, Ross D, Yu H, Riely GJ, Ombres C, Gewirtz AN, Reiner AS, Nandakumar S, Price A, Kaley TJ, Graham MS, Vanderbilt C, Rana S, Hill K, Chabot K, Campos C, Nafa K, Shukla N, Karajannis M, Li B, Berger M, Ladanyi M, Pentsova E, Boire A, Brannon AR, Bale T, Mellinghoff IK, Arcila ME. Real-world experience with circulating tumor DNA in cerebrospinal fluid from patients with central nervous system tumors. Acta Neuropathol Commun 2024; 12:151. [PMID: 39289779 PMCID: PMC11406943 DOI: 10.1186/s40478-024-01846-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Accepted: 08/03/2024] [Indexed: 09/19/2024] Open
Abstract
The characterization of genetic alterations in tumor samples has become standard practice for many human cancers to achieve more precise disease classification and guide the selection of targeted therapies. Cerebrospinal fluid (CSF) can serve as a source of tumor DNA in patients with central nervous system (CNS) cancer. We performed comprehensive profiling of CSF circulating tumor DNA (ctDNA) in 711 patients using an FDA-authorized platform (MSK-IMPACT™) in a hospital laboratory. We identified genetic alterations in 489/922 (53.0%) CSF samples with clinically documented CNS tumors. None of 85 CSF samples from patients without CNS tumors had detectable ctDNA. The distribution of clinically actionable somatic alterations was consistent with tumor-type specific alterations across the AACR GENIE cohort. Repeated CSF ctDNA examinations from the same patients identified clonal evolution and emergence of resistance mechanisms. ctDNA detection was associated with shortened overall survival following CSF collection. Next-generation sequencing of CSF, collected through a minimally invasive lumbar puncture in a routine hospital setting, provides clinically actionable cancer genotype information in a large fraction of patients with CNS tumors.
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Affiliation(s)
- Richard A Hickman
- Human Oncology and Pathogenesis Program, Sloan Kettering Institute, New York, NY, 10065, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
- Foundation Medicine, Inc., 150 Second Street, Cambridge, MA, 02141, USA
| | - Alexandra M Miller
- Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Department of Neurology, Perlmutter Cancer Center, NYU Langone Health and NYU Grossman School of Medicine, New York, NY, 10016, USA
| | - Bridget M Holle
- Human Oncology and Pathogenesis Program, Sloan Kettering Institute, New York, NY, 10065, USA
| | - Justin Jee
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Si-Yang Liu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Dara Ross
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Helena Yu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Gregory J Riely
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Christina Ombres
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Alexandra N Gewirtz
- Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Anne S Reiner
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Subhiksha Nandakumar
- Human Oncology and Pathogenesis Program, Sloan Kettering Institute, New York, NY, 10065, USA
| | - Adam Price
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Thomas J Kaley
- Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Maya S Graham
- Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Chad Vanderbilt
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Satshil Rana
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Katherine Hill
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Kiana Chabot
- Human Oncology and Pathogenesis Program, Sloan Kettering Institute, New York, NY, 10065, USA
| | - Carl Campos
- Human Oncology and Pathogenesis Program, Sloan Kettering Institute, New York, NY, 10065, USA
| | - Khedoudja Nafa
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Neerav Shukla
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Matthias Karajannis
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Bob Li
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Michael Berger
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Marc Ladanyi
- Human Oncology and Pathogenesis Program, Sloan Kettering Institute, New York, NY, 10065, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Elena Pentsova
- Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Adrienne Boire
- Human Oncology and Pathogenesis Program, Sloan Kettering Institute, New York, NY, 10065, USA
- Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - A Rose Brannon
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Tejus Bale
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA
| | - Ingo K Mellinghoff
- Human Oncology and Pathogenesis Program, Sloan Kettering Institute, New York, NY, 10065, USA.
- Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA.
| | - Maria E Arcila
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA.
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Hung LJ, Huang CY, Tung KC, Chen JS, Huang WK, Hsu CC, Fang YF, Wang CL, Liu PC, Yeh KY, Chang PH, Chang JWC, Lin YC, Huang SF, Chou WC. Comprehensive genomic profiling in multiple cancer types: A comparative analysis of the National Biobank Consortium of Taiwan and clinical practice cohorts. J Formos Med Assoc 2024:S0929-6646(24)00405-4. [PMID: 39244401 DOI: 10.1016/j.jfma.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: 05/08/2024] [Revised: 07/30/2024] [Accepted: 09/01/2024] [Indexed: 09/09/2024] Open
Abstract
BACKGROUND This retrospective study analyzed tumor tissue profiling data to assess the potential of comprehensive genomic profiling (CGP) for patient care across diverse solid tumors. MATERIAL AND METHODS Patients with newly diagnosed or recurrent stage IIIB or IV lung adenocarcinoma with a null immunophenotype and esophageal, gastric, pancreatic, or bile duct cancer between January 2020 and July 2023 at two medical centers in Taiwan were included. One cohort was a part of the National Biobank Consortium of Taiwan project, whereas the other consisted of patients undergoing routine clinical practice. Tumor samples were subjected to CGP using FoundationOne®CDx, with therapeutic implications determined using OncoKB classification. RESULTS FoundationOne®CDx testing of 574 patients was successful in 456 (79.4%) patients. Clinically actionable genomic alterations were detected in 21.1% (96/456) of the patients, including 17.5%, 2.9%, and 0.7% of patients with evidence levels 1, 2, and 3, respectively. Lung adenocarcinoma accounted for the largest proportion of samples with at least one actionable gene alteration (63.2%), followed by bile duct (26.9%), gastric (17.6%), esophageal (4.0%), and pancreatic (3.1%) cancers. Based on CGP results, 43 patients (9.4%) received matched targeted therapy. The median overall survival of patients who received matched therapy or not was 26.1 months (95% confidence interval (CI), 16.7-35.5 months) and 10.6 months (95% CI, 8.1-13.1 months; hazard ratio, 0.28, 95% CI, 0.14-0.55, p < 0.001), respectively. CONCLUSIONS This study provides comprehensive insights into the genomic profiles of diverse cancers in Taiwan, highlighting the crucial role of CGP in identifying actionable genomic alterations and guiding effective therapeutic strategies in real-world practice.
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Affiliation(s)
- Ling-Jen Hung
- Division of Hematology-Oncology, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan; Division of Hematology-Oncology, Department of Internal Medicine, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan
| | - Chen-Yang Huang
- Division of Hematology-Oncology, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Kai-Che Tung
- Patient Journey Solution Division, Roche Products Ltd., Taipei, Taiwan; Department of Medical Science and Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan
| | - Jen-Shi Chen
- Division of Hematology-Oncology, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Wen-Kuan Huang
- Division of Hematology-Oncology, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Chih-Chung Hsu
- Division of Hematology-Oncology, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Yueh-Fu Fang
- Division of Thoracic Oncology, Department of Thoracic Medicine, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Chih-Liang Wang
- Division of Thoracic Oncology, Department of Thoracic Medicine, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Ping-Chi Liu
- Division of Thoracic Oncology, Department of Thoracic Medicine, Keelung Chang Gung Memorial Hospital and Chang Gung University, Keelung, Taiwan
| | - Kun-Yun Yeh
- Division of Hematology-Oncology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital and Chang Gung University, Keelung, Taiwan
| | - Pei-Hung Chang
- Division of Hematology-Oncology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital and Chang Gung University, Keelung, Taiwan
| | - John Wen-Cheng Chang
- Division of Hematology-Oncology, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Yung-Chang Lin
- Division of Hematology-Oncology, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Shiu-Feng Huang
- Institute of Molecular and Genomic Medicine, National Health Research Institutes, Miaoli, Taiwan
| | - Wen-Chi Chou
- Division of Hematology-Oncology, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan.
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Kinnersley B, Sud A, Everall A, Cornish AJ, Chubb D, Culliford R, Gruber AJ, Lärkeryd A, Mitsopoulos C, Wedge D, Houlston R. Analysis of 10,478 cancer genomes identifies candidate driver genes and opportunities for precision oncology. Nat Genet 2024; 56:1868-1877. [PMID: 38890488 PMCID: PMC11387197 DOI: 10.1038/s41588-024-01785-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 05/01/2024] [Indexed: 06/20/2024]
Abstract
Tumor genomic profiling is increasingly seen as a prerequisite to guide the treatment of patients with cancer. To explore the value of whole-genome sequencing (WGS) in broadening the scope of cancers potentially amenable to a precision therapy, we analysed whole-genome sequencing data on 10,478 patients spanning 35 cancer types recruited to the UK 100,000 Genomes Project. We identified 330 candidate driver genes, including 74 that are new to any cancer. We estimate that approximately 55% of patients studied harbor at least one clinically relevant mutation, predicting either sensitivity or resistance to certain treatments or clinical trial eligibility. By performing computational chemogenomic analysis of cancer mutations we identify additional targets for compounds that represent attractive candidates for future clinical trials. This study represents one of the most comprehensive efforts thus far to identify cancer driver genes in the real world setting and assess their impact on informing precision oncology.
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Affiliation(s)
- Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- University College London Cancer Institute, University College London, London, UK
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Centre for Immuno-Oncology, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Andrew Everall
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Alex J Cornish
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Daniel Chubb
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Richard Culliford
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Andreas J Gruber
- Systems Biology & Biomedical Data Science Laboratory, University of Konstanz, Konstanz, Germany
| | - Adrian Lärkeryd
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Costas Mitsopoulos
- Division of Cancer Therapeutics, The Institute of Cancer Research, London, UK
| | - David Wedge
- Manchester Cancer Research Centre, University of Manchester, Manchester, UK
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
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7
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Veney DJ, Wei LY, Toland AE, Presley CJ, Hampel HL, Padamsee TJ, Lee CN, Irvin WJ, Bishop MJ, Kim JJ, Hovick SR, Senter LA, Stover DG. A video intervention to improve patient understanding of tumor genomic testing in patients with cancer. Cancer Med 2024; 13:e70095. [PMID: 39258462 PMCID: PMC11387988 DOI: 10.1002/cam4.70095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 06/14/2024] [Accepted: 07/29/2024] [Indexed: 09/12/2024] Open
Abstract
INTRODUCTION Tumor genomic testing (TGT) is standard-of-care for most patients with advanced/metastatic cancer. Despite established guidelines, patient education prior to TGT is frequently omitted. The purpose of this study was to evaluate the impact of a concise 4 min video for patient education prior to TGT. METHODS Based on a quality improvement cycle, an animated video was created to be applicable to any cancer type, incorporating culturally diverse images, available in English and Spanish. Patients undergoing standard-of-care TGT were enrolled at a tertiary academic institution and completed survey instruments prior to video viewing (T1) and immediately post-viewing (T2). Instruments included: (1) 10-question objective genomic knowledge; (2) 10-question video message-specific knowledge; (3) 11-question Trust in Provider; (4) attitudes regarding TGT. RESULTS A total of 150 participants were enrolled. For the primary objective, there was a significant increase in video message-specific knowledge (median 10 point increase; p < 0.0001) with no significant change in genomic knowledge/understanding (p = 0.89) or trust in physician/provider (p = 0.59). Results for five questions significantly improved, including the likelihood of TGT impact on treatment decision, incidental germline findings, and cost of testing. Improvement in video message-specific knowledge was consistent across demographic groups, including age, income, and education. CONCLUSIONS A concise, 3-4 min, broadly applicable video incorporating culturally diverse images administered prior to TGT significantly improved video message-specific knowledge across all demographic groups. This resource is publicly available at http://www.tumor-testing.com, with a goal to efficiently educate and empower patients regarding TGT while addressing guidelines within the flow of clinical practice.
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Affiliation(s)
- Deloris J. Veney
- Division of Medical OncologyOhio State University Comprehensive Cancer CenterColumbusOhioUSA
| | - Lai Y. Wei
- Department of Biomedical InformaticsOhio State UniversityColumbusOhioUSA
| | - Amanda E. Toland
- Division of Human Genetics, Department of Internal MedicineThe Ohio State University Comprehensive Cancer CenterColumbusOhioUSA
- Department of Cancer Biology and GeneticsThe Ohio State UniversityColumbusOhioUSA
| | - Carolyn J. Presley
- Division of Medical OncologyOhio State University Comprehensive Cancer CenterColumbusOhioUSA
| | - Heather L. Hampel
- Division of Clinical Cancer Genomics, Department of Medical Oncology and Therapeutics ResearchCity of Hope National Medical CenterDuarteCaliforniaUSA
| | - Tasleem J. Padamsee
- Division of Health Services Management and PolicyCollege of Public Health, The Ohio State UniversityColumbusOhioUSA
| | - Clara N. Lee
- Division of Health Services Management and PolicyCollege of Public Health, The Ohio State UniversityColumbusOhioUSA
- Present address:
Division of Plastic and Reconstructive SurgeryUniversity of North CarolinaChapel HillNorth CarolinaUSA
| | | | | | - James J. Kim
- Bon Secours‐Mercy Health St. ElizabethYoungstownOhioUSA
| | | | - Leigha A. Senter
- Division of Human Genetics, Department of Internal MedicineThe Ohio State University Comprehensive Cancer CenterColumbusOhioUSA
| | - Daniel G. Stover
- Division of Medical OncologyOhio State University Comprehensive Cancer CenterColumbusOhioUSA
- Department of Biomedical InformaticsOhio State UniversityColumbusOhioUSA
- Pelotonia Institute for Immuno‐Oncology, Ohio State University Comprehensive CancerColumbusOhioUSA
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8
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Tang X, Berger MF, Solit DB. Precision oncology: current and future platforms for treatment selection. Trends Cancer 2024; 10:781-791. [PMID: 39030146 DOI: 10.1016/j.trecan.2024.06.009] [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: 04/01/2024] [Revised: 06/20/2024] [Accepted: 06/21/2024] [Indexed: 07/21/2024]
Abstract
Genomic profiling of hundreds of cancer-associated genes is now a component of routine cancer care. DNA sequencing can identify mutations, mutational signatures, and structural alterations predictive of therapy response and assess for heritable cancer risk, but it has been less useful for identifying predictive biomarkers of sensitivity to cytotoxic chemotherapies, antibody drug conjugates, and immunotherapies. The clinical adoption of molecular profiling platforms such as RNA sequencing better suited to identifying those patients most likely to respond to immunotherapies and drug combinations will be critical to expanding the benefits of precision oncology. This review discusses the potential advantages of innovative molecular and functional profiling platforms designed to replace or complement targeted DNA sequencing and the major hurdles to their clinical adoption.
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Affiliation(s)
- Xinran Tang
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY 10065, USA
| | - Michael F Berger
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - David B Solit
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Da Silva RCDS, Simon NDA, Dos Santos AA, Olegário GDM, Da Silva JF, Sousa NO, Corbacho MAT, de Melo FF. Personalized medicine: Clinical oncology on molecular view of treatment. World J Clin Oncol 2024; 15:992-1001. [PMID: 39193152 PMCID: PMC11346063 DOI: 10.5306/wjco.v15.i8.992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 06/03/2024] [Accepted: 07/10/2024] [Indexed: 08/16/2024] Open
Abstract
Cancer, the second leading global cause of death, impacts both physically and emotionally. Conventional treatments such as surgeries, chemotherapy, and radiotherapy have adverse effects, driving the need for more precise approaches. Precision medicine enables more targeted treatments. Genetic mapping, alongside other molecular biology approaches, identifies specific genes, contributing to accurate prognoses. The review addresses, in clinical use, a molecular perspective on treatment. Biomarkers like alpha-fetoprotein, beta-human chorionic gonadotropin, 5-hydroxyindoleacetic acid, programmed death-1, and cytotoxic T lymphocyte-associated protein 4 are explored, providing valuable information. Bioinformatics, with an emphasis on artificial intelligence, revolutionizes the analysis of biological data, offering more accurate diagnoses. Techniques like liquid biopsy are emphasized for early detection. Precision medicine guides therapeutic strategies based on the molecular characteristics of the tumor, as evidenced in the molecular subtypes of breast cancer. Classifications allow personalized treatments, highlighting the role of trastuzumab and endocrine therapies. Despite the benefits, challenges persist, including high costs, tumor heterogeneity, and ethical issues. Overcoming obstacles requires collaboration, ensuring that advances in molecular biology translate into accessible benefits for all.
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Affiliation(s)
| | - Nathalia de Andrade Simon
- Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil
| | - André Alves Dos Santos
- Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil
| | - Gabriel De Melo Olegário
- Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil
| | - Jayne Ferreira Da Silva
- Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil
| | - Naide Oliveira Sousa
- Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil
| | | | - Fabrício Freire de Melo
- Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória Da Conquista 45029-094, Bahia, Brazil
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Miyahira AK, Kamran SC, Jamaspishvili T, Marshall CH, Maxwell KN, Parolia A, Zorko NA, Pienta KJ, Soule HR. Disrupting prostate cancer research: Challenge accepted; report from the 2023 Coffey-Holden Prostate Cancer Academy Meeting. Prostate 2024; 84:993-1015. [PMID: 38682886 DOI: 10.1002/pros.24721] [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: 04/12/2024] [Accepted: 04/16/2024] [Indexed: 05/01/2024]
Abstract
INTRODUCTION The 2023 Coffey-Holden Prostate Cancer Academy (CHPCA) Meeting, themed "Disrupting Prostate Cancer Research: Challenge Accepted," was convened at the University of California, Los Angeles, Luskin Conference Center, in Los Angeles, CA, from June 22 to 25, 2023. METHODS The 2023 marked the 10th Annual CHPCA Meeting, a discussion-oriented scientific think-tank conference convened annually by the Prostate Cancer Foundation, which centers on innovative and emerging research topics deemed pivotal for advancing critical unmet needs in prostate cancer research and clinical care. The 2023 CHPCA Meeting was attended by 81 academic investigators and included 40 talks across 8 sessions. RESULTS The central topic areas covered at the meeting included: targeting transcription factor neo-enhancesomes in cancer, AR as a pro-differentiation and oncogenic transcription factor, why few are cured with androgen deprivation therapy and how to change dogma to cure metastatic prostate cancer without castration, reducing prostate cancer morbidity and mortality with genetics, opportunities for radiation to enhance therapeutic benefit in oligometastatic prostate cancer, novel immunotherapeutic approaches, and the new era of artificial intelligence-driven precision medicine. DISCUSSION This article provides an overview of the scientific presentations delivered at the 2023 CHPCA Meeting, such that this knowledge can help in facilitating the advancement of prostate cancer research worldwide.
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Affiliation(s)
- Andrea K Miyahira
- Science Department, Prostate Cancer Foundation, Santa Monica, California, USA
| | - Sophia C Kamran
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Tamara Jamaspishvili
- Department of Pathology and Laboratory Medicine, SUNY Upstate Medical University, Syracuse, New York, USA
| | - Catherine H Marshall
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kara N Maxwell
- Department of Medicine-Hematology/Oncology and Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Medicine Service, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
| | - Abhijit Parolia
- Department of Pathology, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicholas A Zorko
- Division of Hematology, Oncology and Transplantation, Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
- University of Minnesota Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA
| | - Kenneth J Pienta
- The James Buchanan Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Howard R Soule
- Science Department, Prostate Cancer Foundation, Santa Monica, California, USA
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de Pellegars-Malhortie A, Picque Lasorsa L, Mazard T, Granier F, Prévostel C. Why Is Wnt/β-Catenin Not Yet Targeted in Routine Cancer Care? Pharmaceuticals (Basel) 2024; 17:949. [PMID: 39065798 PMCID: PMC11279613 DOI: 10.3390/ph17070949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 07/04/2024] [Accepted: 07/11/2024] [Indexed: 07/28/2024] Open
Abstract
Despite significant progress in cancer prevention, screening, and treatment, the still limited number of therapeutic options is an obstacle towards increasing the cancer cure rate. In recent years, many efforts were put forth to develop therapeutics that selectively target different components of the oncogenic Wnt/β-catenin signaling pathway. These include small molecule inhibitors, antibodies, and more recently, gene-based approaches. Although some of them showed promising outcomes in clinical trials, the Wnt/β-catenin pathway is still not targeted in routine clinical practice for cancer management. As for most anticancer treatments, a critical limitation to the use of Wnt/β-catenin inhibitors is their therapeutic index, i.e., the difficulty of combining effective anticancer activity with acceptable toxicity. Protecting healthy tissues from the effects of Wnt/β-catenin inhibitors is a major issue due to the vital role of the Wnt/β-catenin signaling pathway in adult tissue homeostasis and regeneration. In this review, we provide an up-to-date summary of clinical trials on Wnt/β-catenin pathway inhibitors, examine their anti-tumor activity and associated adverse events, and explore strategies under development to improve the benefit/risk profile of this therapeutic approach.
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Affiliation(s)
- Auriane de Pellegars-Malhortie
- IRCM (Montpellier Cancer Research Institute), University of Montpellier, Inserm, ICM (Montpellier Regional Cancer Institute), 34298 Montpellier, CEDEX 5, France; (A.d.P.-M.); (L.P.L.); (T.M.)
| | - Laurence Picque Lasorsa
- IRCM (Montpellier Cancer Research Institute), University of Montpellier, Inserm, ICM (Montpellier Regional Cancer Institute), 34298 Montpellier, CEDEX 5, France; (A.d.P.-M.); (L.P.L.); (T.M.)
| | - Thibault Mazard
- IRCM (Montpellier Cancer Research Institute), University of Montpellier, Inserm, ICM (Montpellier Regional Cancer Institute), 34298 Montpellier, CEDEX 5, France; (A.d.P.-M.); (L.P.L.); (T.M.)
- Medical Oncology Department, ICM, University of Montpellier, CEDEX 5, 34298 Montpellier, France
| | | | - Corinne Prévostel
- IRCM (Montpellier Cancer Research Institute), University of Montpellier, Inserm, ICM (Montpellier Regional Cancer Institute), 34298 Montpellier, CEDEX 5, France; (A.d.P.-M.); (L.P.L.); (T.M.)
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12
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Song C, Wang G, Liu M, Han S, Dong M, Peng M, Wang W, Wang Y, Xu Y, Liu L. Deciphering the SOX4/MAPK1 regulatory axis: a phosphoproteomic insight into IQGAP1 phosphorylation and pancreatic Cancer progression. J Transl Med 2024; 22:602. [PMID: 38943117 PMCID: PMC11212360 DOI: 10.1186/s12967-024-05377-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 06/06/2024] [Indexed: 07/01/2024] Open
Abstract
OBJECTIVE This study aims to elucidate the functional role of IQGAP1 phosphorylation modification mediated by the SOX4/MAPK1 regulatory axis in developing pancreatic cancer through phosphoproteomics analysis. METHODS Proteomics and phosphoproteomics data of pancreatic cancer were obtained from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) database. Differential analysis, kinase-substrate enrichment analysis (KSEA), and independent prognosis analysis were performed on these datasets. Subtype analysis of pancreatic cancer patients was conducted based on the expression of prognostic-related proteins, and the prognosis of different subtypes was evaluated through prognosis analysis. Differential analysis of proteins in different subtypes was performed to identify differential proteins in the high-risk subtype. Clinical correlation analysis was conducted based on the expression of prognostic-related proteins, pancreatic cancer typing results, and clinical characteristics in the pancreatic cancer proteomics dataset. Functional pathway enrichment analysis was performed using GSEA/GO/KEGG, and most module proteins correlated with pancreatic cancer were selected using WGCNA analysis. In cell experiments, pancreatic cancer cells were grouped, and the expression levels of SOX4, MAPK1, and the phosphorylation level of IQGAP1 were detected by RT-qPCR and Western blot experiments. The effect of SOX4 on MAPK1 promoter transcriptional activity was assessed using a dual-luciferase assay, and the enrichment of SOX4 on the MAPK1 promoter was examined using a ChIP assay. The proliferation, migration, and invasion functions of grouped pancreatic cancer cells were assessed using CCK-8, colony formation, and Transwell assays. In animal experiments, the impact of SOX4 on tumor growth and metastasis through the regulation of MAPK1-IQGAP1 phosphorylation modification was studied by constructing subcutaneous and orthotopic pancreatic cancer xenograft models, as well as a liver metastasis model in nude mice. RESULTS Phosphoproteomics and proteomics data analysis revealed that the kinase MAPK1 may play an important role in pancreatic cancer progression by promoting IQGAP1 phosphorylation modification. Proteomics analysis classified pancreatic cancer patients into two subtypes, C1 and C2, where the high-risk C2 subtype was associated with poor prognosis, malignant tumor typing, and enriched tumor-related pathways. SOX4 may promote the occurrence of the high-risk C2 subtype of pancreatic cancer by regulating MAPK1-IQGAP1 phosphorylation modification. In vitro cell experiments confirmed that SOX4 promoted IQGAP1 phosphorylation modification by activating MAPK1 transcription while silencing SOX4 inhibited the proliferation, migration, and invasion of pancreatic cancer cells by reducing the phosphorylation level of MAPK1-IQGAP1. In vivo, animal experiments further confirmed that silencing SOX4 suppressed the growth and metastasis of pancreatic cancer by reducing the phosphorylation level of MAPK1-IQGAP1. CONCLUSION The findings of this study suggest that SOX4 promotes the phosphorylation modification of IQGAP1 by activating MAPK1 transcription, thereby facilitating the growth and metastasis of pancreatic cancer.
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Affiliation(s)
- Chao Song
- Department of Pancreatic Surgery, Affiliated Zhongshan Hospital, Fudan University, No.180 Fenglin Road, Xuhui District, Shanghai, PR China
- Department of General Surgery, Qingpu Branch, Affiliated Zhongshan Hospital of Fudan University, Qingpu Branch, No. 1158 Park Road East, Qingpu District, Shanghai, PR China
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, PR China
| | - Ganggang Wang
- Department of Hepatobiliary Surgery, Pudong Hospital, Fudan University, Shanghai, China
| | - Mengmeng Liu
- Department of Gastroenterology, Qingpu Branch, Affiliated Zhongshan Hospital of Fudan University, Shanghai, PR China
| | - Siyang Han
- Department of Pancreatic Surgery, Affiliated Zhongshan Hospital, Fudan University, No.180 Fenglin Road, Xuhui District, Shanghai, PR China
| | - Meiyuan Dong
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Shanghai, PR China
| | - Maozhen Peng
- Department of Pancreatic Surgery, Affiliated Zhongshan Hospital, Fudan University, No.180 Fenglin Road, Xuhui District, Shanghai, PR China
| | - Wenquan Wang
- Department of Pancreatic Surgery, Affiliated Zhongshan Hospital, Fudan University, No.180 Fenglin Road, Xuhui District, Shanghai, PR China
| | - Yicun Wang
- Department of General Surgery, Qingpu Branch, Affiliated Zhongshan Hospital of Fudan University, Qingpu Branch, No. 1158 Park Road East, Qingpu District, Shanghai, PR China.
| | - Yaolin Xu
- Department of Pancreatic Surgery, Affiliated Zhongshan Hospital, Fudan University, No.180 Fenglin Road, Xuhui District, Shanghai, PR China.
| | - Liang Liu
- Department of Pancreatic Surgery, Affiliated Zhongshan Hospital, Fudan University, No.180 Fenglin Road, Xuhui District, Shanghai, PR China.
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, PR China.
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Wang Y, Shang P, Xu C, Dong W, Zhang X, Xia Y, Sui C, Yang C. Novel genetic alterations in liver cancer distinguish distinct clinical outcomes and combination immunotherapy responses. Front Pharmacol 2024; 15:1416295. [PMID: 38948469 PMCID: PMC11211383 DOI: 10.3389/fphar.2024.1416295] [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: 04/12/2024] [Accepted: 05/27/2024] [Indexed: 07/02/2024] Open
Abstract
Introduction: Genomic profiling has revolutionized therapeutic interventions and the clinical management of liver cancer. However, pathogenetic mechanisms, molecular determinants of recurrence, and predictive biomarkers for first-line treatment (anti-PD-(L)1 plus bevacizumab) in liver cancer remain incompletely understood. Materials and methods: Targeted next-generation sequencing (tNGS) (a 603-cancer-gene panel) was applied for the genomic profiling of 232 hepatocellular carcinoma (HCC) and 22 intrahepatic cholangiocarcinoma (ICC) patients, among which 47 unresectable/metastatic HCC patients underwent anti-PD-1 plus bevacizumab therapy. Genomic alterations were estimated for their association with vascular invasion (VI), location of onset, recurrence, overall survival (OS), recurrence-free survival (RFS), and anti-PD-1 plus bevacizumab therapy response. Results: The genomic landscape exhibited that the most commonly altered genes in HCC were TP53, FAT3, PDE4DIP, KMT2C, FAT1, and MYO18A, while TP53, FAT1, FAT3, PDE4DIP, ROS1, and GALNT11 were frequently altered in ICC; notably, KRAS (18.18% vs. 1.29%) and BAP1 (13.64% vs. 1.29%) alterations were significantly more prevalent in ICC. Comparison analysis demonstrated the distinct clinicopathological/genomic characterizations between Chinese and Western HCC cohorts. Genomic profiling of HCC underlying VI showed that LDLR, MSH2, KDM5D, PDE3A, and FOXO1 were frequently altered in the VI group compared to patients without VIs. Compared to the right hepatic lobes of HCC patients, the left hepatic lobe of HCC patients had superior OS (median OS: 36.77 months vs. unreached, p < 0.05). By further comparison, Notch signaling pathway-related alterations were significantly prevalent among the right hepatic lobes of HCC patients. Of note, multivariate Cox regression analysis showed that altered RB1, NOTCH3, MGA, SYNE1, and ZFHX3, as independent prognostic factors, were significantly correlated with the OS of HCC patients. Furthermore, altered LATS1 was abundantly enriched in the HCC-recurrent group, and impressively, it was independent of clinicopathological features in predicting RFS (median RFS of altered type vs. wild-type: 5.57 months vs. 22.47 months, p < 0.01). Regarding those treated HCC patients, TMB value, altered PTPRZ1, and cell cycle-related alterations were identified to be positively associated with the objective response rate (ORR), but KMT2D alterations were negatively correlated with ORR. In addition, altered KMT2D and cell cycle signaling were significantly associated with reduced and increased time to progression-free survival (PFS), respectively. Conclusion: Comprehensive genomic profiling deciphered distinct molecular characterizations underlying VI, location of onset, recurrence, and survival time in liver cancer. The identification of novel genetic predictors of response to anti-PD-1 plus bevacizumab in HCC facilitated the development of an evidence-based approach to therapy.
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Affiliation(s)
- Yizhou Wang
- Department of Hepatic Surgery IV and Clinical Research Institute, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Peipei Shang
- Department of Medical Oncology, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Chang Xu
- Department of General Surgery, Biliary Tract Disease Institute, Biliary Tract Disease Center, and Cancer Center of Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wei Dong
- Department of Pathology, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Xiaofeng Zhang
- Department of Hepatic Surgery IV and Clinical Research Institute, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Yong Xia
- Department of Hepatic Surgery IV and Clinical Research Institute, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Chengjun Sui
- Department of Special Treatment, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Cheng Yang
- Department of Special Treatment, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital of Naval Medical University, Shanghai, China
- Department of Interventional Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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14
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Chen W, Zhao Z, Zhou H, Dong S, Li X, Hu S, Zhong S, Chen K. Development of prognostic signatures and risk index related to lipid metabolism in ccRCC. Front Oncol 2024; 14:1378095. [PMID: 38939337 PMCID: PMC11208495 DOI: 10.3389/fonc.2024.1378095] [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: 03/07/2024] [Accepted: 05/31/2024] [Indexed: 06/29/2024] Open
Abstract
Background Clear cell renal cell carcinoma (ccRCC) is a metabolic disorder characterized by abnormal lipid accumulation in the cytoplasm. Lipid metabolism-related genes may have important clinical significance for prognosis prediction and individualized treatment. Methods We collected bulk and single-cell transcriptomic data of ccRCC and normal samples to identify key lipid metabolism-related prognostic signatures. qPCR was used to confirm the expression of signatures in cancer cell lines. Based on the identified signatures, we developed a lipid metabolism risk score (LMRS) as a risk index. We explored the potential application value of prognostic signatures and LMRS in precise treatment from multiple perspectives. Results Through comprehensive analysis, we identified five lipid metabolism-related prognostic signatures (ACADM, ACAT1, ECHS1, HPGD, DGKZ). We developed a risk index LMRS, which was significantly associated with poor prognosis in patients. There was a significant correlation between LMRS and the infiltration levels of multiple immune cells. Patients with high LMRS may be more likely to respond to immunotherapy. The different LMRS groups were suitable for different anticancer drug treatment regimens. Conclusion Prognostic signatures and LMRS we developed may be applied to the risk assessment of ccRCC patients, which may have potential guiding significance in the diagnosis and precise treatment of ccRCC patients.
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Affiliation(s)
- Wenbo Chen
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Zhenyu Zhao
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Zhou
- Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuang Dong
- Department of Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaoyu Li
- Department of Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Sheng Hu
- Department of Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shan Zhong
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Ke Chen
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Rolfo CD, Madison RW, Pasquina LW, Brown DW, Huang Y, Hughes JD, Graf RP, Oxnard GR, Husain H. Measurement of ctDNA Tumor Fraction Identifies Informative Negative Liquid Biopsy Results and Informs Value of Tissue Confirmation. Clin Cancer Res 2024; 30:2452-2460. [PMID: 38526394 PMCID: PMC11145175 DOI: 10.1158/1078-0432.ccr-23-3321] [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: 10/26/2023] [Revised: 01/23/2024] [Accepted: 03/21/2024] [Indexed: 03/26/2024]
Abstract
PURPOSE Liquid biopsy (LBx) for tumor profiling is increasingly used, but concerns remain regarding negative results. A lack of results may truly reflect tumor genomics, or it may be a false negative that would be clarified by tissue testing. A method of distinguishing between these scenarios could help clarify when follow-on tissue testing is valuable. EXPERIMENTAL DESIGN Here we evaluate circulating tumor DNA (ctDNA) tumor fraction (TF), a quantification of ctDNA in LBx samples, for utility in identifying true negative results. We assessed concordance between LBx and tissue-based results, stratified by ctDNA TF, in a real-world genomic dataset of paired samples across multiple disease types. We also evaluated the frequency of tissue results identifying driver alterations in patients with lung cancer after negative LBx in a real-world clinicogenomic database. RESULTS The positive percent agreement and negative predictive value between liquid and tissue samples for driver alterations increased from 63% and 66% for all samples to 98% and 97% in samples with ctDNA TF ≥1%. Among 505 patients with lung cancer with no targetable driver alterations found by LBx who had subsequent tissue-based profiling, 37% had a driver, all of which had ctDNA TF <1%. CONCLUSIONS Patients with lung cancer with negative LBx and ctDNA TF ≥1% are unlikely to have a driver detected on confirmatory tissue testing; such informative negative results may benefit instead from prompt treatment initiation. Conversely, negative LBx with ctDNA TF <1% will commonly have a driver identified by follow-up tissue testing and should be prioritized for reflex testing.
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Affiliation(s)
- Christian D. Rolfo
- Center of Thoracic Oncology at The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | | | | | - Yanmei Huang
- Foundation Medicine, Inc., Cambridge, Massachusetts
| | | | - Ryon P. Graf
- Foundation Medicine, Inc., Cambridge, Massachusetts
| | | | - Hatim Husain
- Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, California
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Zhu T, Okabe A, Usui G, Fujiki R, Komiyama D, Huang KK, Seki M, Fukuyo M, Abe H, Ning M, Okada T, Minami M, Matsumoto M, Fan Q, Rahmutulla B, Hoshii T, Tan P, Morikawa T, Ushiku T, Kaneda A. Integrated enhancer regulatory network by enhancer-promoter looping in gastric cancer. NAR Cancer 2024; 6:zcae020. [PMID: 38720882 PMCID: PMC11077903 DOI: 10.1093/narcan/zcae020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 04/07/2024] [Accepted: 04/25/2024] [Indexed: 05/12/2024] Open
Abstract
Enhancer cis-regulatory elements play critical roles in gene regulation at many stages of cell growth. Enhancers in cancer cells also regulate the transcription of oncogenes. In this study, we performed a comprehensive analysis of long-range chromatin interactions, histone modifications, chromatin accessibility and expression in two gastric cancer (GC) cell lines compared to normal gastric epithelial cells. We found that GC-specific enhancers marked by histone modifications can activate a population of genes, including some oncogenes, by interacting with their proximal promoters. In addition, motif analysis of enhancer-promoter interacting enhancers showed that GC-specific transcription factors are enriched. Among them, we found that MYB is crucial for GC cell growth and activated by the enhancer with an enhancer-promoter loop and TCF7 upregulation. Clinical GC samples showed epigenetic activation of enhancers at the MYB locus and significant upregulation of TCF7 and MYB, regardless of molecular GC subtype and clinicopathological factors. Single-cell RNA sequencing of gastric mucosa with intestinal metaplasia showed high expression of TCF7 and MYB in intestinal stem cells. When we inactivated the loop-forming enhancer at the MYB locus using CRISPR interference (dCas9-KRAB), GC cell growth was significantly inhibited. In conclusion, we identified MYB as an oncogene activated by a loop-forming enhancer and contributing to GC cell growth.
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Affiliation(s)
- Tianhui Zhu
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
| | - Atsushi Okabe
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
- Health and Disease Omics Center, Chiba University, Chiba 260-8670, Japan
| | - Genki Usui
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan
| | - Ryoji Fujiki
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
| | - Daichi Komiyama
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
| | - Kie Kyon Huang
- Program in Cancer and Stem Cell Biology, Duke–NUS Medical School, Singapore 169857, Singapore
| | - Motoaki Seki
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
| | - Masaki Fukuyo
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
| | - Hiroyuki Abe
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan
| | - Meng Ning
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
| | - Tomoka Okada
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
| | - Mizuki Minami
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
| | - Makoto Matsumoto
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
| | - Qin Fan
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
| | - Bahityar Rahmutulla
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
| | - Takayuki Hoshii
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
| | - Patrick Tan
- Program in Cancer and Stem Cell Biology, Duke–NUS Medical School, Singapore 169857, Singapore
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138632, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore
| | - Teppei Morikawa
- Department of Diagnostic Pathology, NTT Medical Center Tokyo, Tokyo 141-8625, Japan
| | - Tetsuo Ushiku
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan
| | - Atsushi Kaneda
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan
- Health and Disease Omics Center, Chiba University, Chiba 260-8670, Japan
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Goldstein Y, Cohen OT, Wald O, Bavli D, Kaplan T, Benny O. Particle uptake in cancer cells can predict malignancy and drug resistance using machine learning. SCIENCE ADVANCES 2024; 10:eadj4370. [PMID: 38809990 PMCID: PMC11314625 DOI: 10.1126/sciadv.adj4370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 04/23/2024] [Indexed: 05/31/2024]
Abstract
Tumor heterogeneity is a primary factor that contributes to treatment failure. Predictive tools, capable of classifying cancer cells based on their functions, may substantially enhance therapy and extend patient life span. The connection between cell biomechanics and cancer cell functions is used here to classify cells through mechanical measurements, via particle uptake. Machine learning (ML) was used to classify cells based on single-cell patterns of uptake of particles with diverse sizes. Three pairs of human cancer cell subpopulations, varied in their level of drug resistance or malignancy, were studied. Cells were allowed to interact with fluorescently labeled polystyrene particles ranging in size from 0.04 to 3.36 μm and analyzed for their uptake patterns using flow cytometry. ML algorithms accurately classified cancer cell subtypes with accuracy rates exceeding 95%. The uptake data were especially advantageous for morphologically similar cell subpopulations. Moreover, the uptake data were found to serve as a form of "normalization" that could reduce variation in repeated experiments.
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Affiliation(s)
- Yoel Goldstein
- Institute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel
| | - Ora T. Cohen
- Institute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel
| | - Ori Wald
- Department of Cardiothoracic Surgery, Hadassah Medical Center, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Danny Bavli
- Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
| | - Tommy Kaplan
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
- Department of Developmental Biology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel
| | - Ofra Benny
- Institute for Drug Research, The School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112001, Israel
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18
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Gharib E, Rejali L, Piroozkhah M, Zonoobi E, Nasrabadi PN, Arabsorkhi Z, Baghdar K, Shams E, Sadeghi A, Kuppen PJK, Salehi Z, Nazemalhosseini-Mojarad E. IL-2RG as a possible immunotherapeutic target in CRC predicting poor prognosis and regulated by miR-7-5p and miR-26b-5p. J Transl Med 2024; 22:439. [PMID: 38720389 PMCID: PMC11080123 DOI: 10.1186/s12967-024-05251-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 04/29/2024] [Indexed: 05/12/2024] Open
Abstract
Despite advances in treatment strategies, colorectal cancer (CRC) continues to cause significant morbidity and mortality, with mounting evidence a close link between immune system dysfunctions issued. Interleukin-2 receptor gamma (IL-2RG) plays a pivotal role as a common subunit receptor in the IL-2 family cytokines and activates the JAK-STAT pathway. This study delves into the role of Interleukin-2 receptor gamma (IL-2RG) within the tumor microenvironment and investigates potential microRNAs (miRNAs) that directly inhibit IL-2RG, aiming to discern their impact on CRC clinical outcomes. Bioinformatics analysis revealed a significant upregulation of IL-2RG mRNA in TCGA-COAD samples and showed strong correlations with the infiltration of various lymphocytes. Single-cell analysis corroborated these findings, highlighting IL-2RG expression in critical immune cell subsets. To explore miRNA involvement in IL-2RG dysregulation, mRNA was isolated from the tumor tissues and lymphocytes of 258 CRC patients and 30 healthy controls, and IL-2RG was cloned into the pcDNA3.1/CT-GFP-TOPO vector. Human embryonic kidney cell lines (HEK-293T) were transfected with this construct. Our research involved a comprehensive analysis of miRPathDB, miRWalk, and Targetscan databases to identify the miRNAs associated with the 3' UTR of human IL-2RG. The human microRNA (miRNA) molecules, hsa-miR-7-5p and hsa-miR-26b-5p, have been identified as potent suppressors of IL-2RG expression in CRC patients. Specifically, the downregulation of hsa-miR-7-5p and hsa-miR-26b-5p has been shown to result in the upregulation of IL-2RG mRNA expression in these patients. Prognostic evaluation of IL-2RG, hsa-miR-7-5p, and hsa-miR-26b-5p, using TCGA-COAD data and patient samples, established that higher IL-2RG expression and lower expression of both miRNAs were associated with poorer outcomes. Additionally, this study identified several long non-coding RNAs (LncRNAs), such as ZFAS1, SOX21-AS1, SNHG11, SNHG16, SNHG1, DLX6-AS1, GAS5, SNHG6, and MALAT1, which may act as competing endogenous RNA molecules for IL2RG by sequestering shared hsa-miR-7-5p and hsa-miR-26b-5p. In summary, this investigation underscores the potential utility of IL-2RG, hsa-miR-7-5p, and hsa-miR-26b-5p as serum and tissue biomarkers for predicting CRC patient prognosis while also offering promise as targets for immunotherapy in CRC management.
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Affiliation(s)
- Ehsan Gharib
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Leili Rejali
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Moein Piroozkhah
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elham Zonoobi
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Parinaz Nasri Nasrabadi
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Arabsorkhi
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kaveh Baghdar
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elahe Shams
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amir Sadeghi
- Gastroenterology and Liver Diseases Research Centre, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Yeman Street, Chamran Expressway, P.O. Box: 19857-17411, Tehran, Iran
| | - Peter J K Kuppen
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Zahra Salehi
- Hematology, Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran.
- Research Institute for Oncology, Hematology and Cell Therapy, Tehran University of Medical Sciences, Tehran, Iran.
| | - Ehsan Nazemalhosseini-Mojarad
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands.
- Gastroenterology and Liver Diseases Research Centre, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Yeman Street, Chamran Expressway, P.O. Box: 19857-17411, Tehran, Iran.
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19
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Liu Y, Li X, Yang J, Chen S, Zhu C, Shi Y, Dang S, Zhang W, Li W. Pan-cancer analysis of SLC2A family genes as prognostic biomarkers and therapeutic targets. Heliyon 2024; 10:e29655. [PMID: 38655365 PMCID: PMC11036058 DOI: 10.1016/j.heliyon.2024.e29655] [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: 08/29/2023] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 04/26/2024] Open
Abstract
Background The major facilitator superfamily glucose transporters (GLUTs), encoded by solute carrier 2A (SLC2A) genes, mediate the transmembrane movement and uptake of glucose. To satisfy the improved energy demands, glycolysis flux is increased in cancers compared with healthy tissues. Multiple diseases, including cancer, have been associated with GLUTs. Nevertheless, not much research has been done on the functions of SLC2As in pan-cancer prognosis or their clinical treatment potential. Methods The SLC2A family genes' level of expression and prognostic values were analyzed in relation to pan-cancer. We then examined the association among SLC2As expression and TME, Stemness score, clinical characteristics, immune subtypes, and drug sensitivity. We merged bioinformatics analysis techniques with up-to-date public databases. Additionally, SLC2As from the KOBAS database were subjected to enrichment analysis. Results We discovered that SLC2As' gene expression differed significantly between normal tissues and many malignancies. A number of tumors from various databases demonstrate a relationship between prognosis and SLC2A family gene expression. For instance, SLC2A2 and SLC2A5 were associated with the overall survival (OS) of hepatocellular carcinoma. SLC2A1 was associated with the OS of lung adenocarcinoma and pancreatic adenocarcinoma. Moreover, the SLC2A family gene expression is significantly correlated with the pan-cancer stromal and immune scores, and the RNA and DNA stemness scores. Furthermore, we found that the majority of SLC2As had a strong correlation with the tumor stages in KIRC. The immunological subtypes and all members of the SLC2A gene family exhibited a substantial correlation. Moreover, pathways containing insulin resistance and adipocytokine signaling pathway may influence the progression of some cancers. Finally, there is a significant positive or negative connection between drug sensitivity and SLC2A1 expression. Conclusion Our research highlights the significant promise of SLC2As as prognostic indicators and offers insightful approaches for upcoming exploration of SLC2As as putative therapeutic targets in malignancies.
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Affiliation(s)
- Yating Liu
- Department of Cancer Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Xinyu Li
- Department of Cancer Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Jie Yang
- Department of Pediatric Dentistry, Peking University School of Stomatology, Beijing, China
| | - Shanshan Chen
- Department of Cancer Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Changyu Zhu
- Department of Cancer Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yijun Shi
- Department of Cancer Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Shoutao Dang
- Department of Cancer Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Weitao Zhang
- Department of Cancer Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wei Li
- Department of Cancer Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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20
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Pollard RD, Wilkerson MD, Rajagopal PS. Identification of germline population variants misclassified as cancer-associated somatic variants. Front Med (Lausanne) 2024; 11:1361317. [PMID: 38572163 PMCID: PMC10987807 DOI: 10.3389/fmed.2024.1361317] [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: 12/25/2023] [Accepted: 02/28/2024] [Indexed: 04/05/2024] Open
Abstract
Introduction Databases used for clinical interpretation in oncology rely on genetic data derived primarily from patients of European ancestry, leading to biases in cancer genetics research and clinical practice. One practical issue that arises in this context is the potential misclassification of multi-ancestral population variants as tumor-associated because they are not represented in reference genomes against which tumor sequencing data is aligned. Methods To systematically find misclassified variants, we compared somatic variants in census genes from the Catalogue of Somatic Mutations in Cancer (COSMIC) V99 with multi-ancestral population variants from the Genome Aggregation Databases' Linkage Disequilibrium (GnomAD). By comparing genomic coordinates, reference, and alternate alleles, we could identify misclassified variants in genes associated with cancer. Results We found 192 of 208 genes in COSMIC's cancer-associated census genes (92.31%) to be associated with variant misclassifications. Among the 1,906,732 variants in COSMIC, 6,957 variants (0.36%) aligned with normal population variants in GnomAD, concerning for misclassification. The African / African American ancestral population included the greatest number of misclassified variants and also had the greatest number of unique misclassified variants. Conclusion The direct, systematic comparison of variants from COSMIC for co-occurrence in GnomAD supports a more accurate interpretation of tumor sequencing data and reduces bias related to genomic ancestry.
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Affiliation(s)
- Rebecca D. Pollard
- Maret School, Washington, DC, United States
- Metis Foundation, San Antonio, TX, United States
| | - Matthew D. Wilkerson
- Center for Military Precision Health, Uniformed Services University, Bethesda, MD, United States
- Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Padma Sheila Rajagopal
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD, United States
- Women’s Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, United States
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21
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Isago H, Watanabe K, Satoh Y, Kurano M. Correlation between variant call accuracy and quality parameters in comprehensive cancer genomic profiling tests. Pract Lab Med 2024; 39:e00369. [PMID: 38404524 PMCID: PMC10884978 DOI: 10.1016/j.plabm.2024.e00369] [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: 11/28/2023] [Revised: 02/04/2024] [Accepted: 02/13/2024] [Indexed: 02/27/2024] Open
Abstract
Background Comprehensive genomic profiling (CGP) tests have been widely utilized in clinical practice. In this test, the variant list automatically output from the data analysis pipeline often contains false-positive variants, although the correlation between the quality parameters and prevalence of false-positive variants remains unclear. Methods We analyzed 125 CGP tests performed in our laboratory. False-positive variants were manually detected via visual inspection. The quality parameters of both wet and dry processes were also analyzed. Results Among the 125 tests, 52 (41.6%) required more than one correction of the called variants, and 21 (16.8%) required multiple corrections. A significant correlation was detected between somatic false-positive variants and quality parameters in the wet (ΔΔCq, pre-capture library peak size, pre-capture library DNA amount, capture library peak size, and capture library concentration) and dry processes (total reads, mapping rates, duplication rates, mean depth, and depth coverage). Capture library concentration and mean depth were strong independent predictors of somatic false-positive variants. Conclusions We demonstrated a correlation between somatic false-positive variants and quality parameters in the CGP test. This study facilitates gaining a better understanding of CGP test quality management.
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Affiliation(s)
- Hideaki Isago
- Department of Clinical Laboratory, The University of Tokyo Hospital, Tokyo, Japan
| | - Kousuke Watanabe
- Department of Clinical Laboratory, The University of Tokyo Hospital, Tokyo, Japan
| | - Yumiko Satoh
- Department of Clinical Laboratory, The University of Tokyo Hospital, Tokyo, Japan
| | - Makoto Kurano
- Department of Clinical Laboratory, The University of Tokyo Hospital, Tokyo, Japan
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22
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Nolan J, Buchanan J, Taylor J, Almeida J, Bedenham T, Blair E, Broadgate S, Butler S, Cazeaux A, Craft J, Cranston T, Crawford G, Forrest J, Gabriel J, George E, Gillen D, Haeger A, Hastings Ward J, Hawkes L, Hodgkiss C, Hoffman J, Jones A, Karpe F, Kasperaviciute D, Kovacs E, Leigh S, Limb E, Lloyd-Jani A, Lopez J, Lucassen A, McFarlane C, O'Rourke AW, Pond E, Sherman C, Stewart H, Thomas E, Thomas S, Thomas T, Thomson K, Wakelin H, Walker S, Watson M, Williams E, Ormondroyd E. Secondary (additional) findings from the 100,000 Genomes Project: Disease manifestation, health care outcomes, and costs of disclosure. Genet Med 2024; 26:101051. [PMID: 38131308 DOI: 10.1016/j.gim.2023.101051] [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: 07/13/2023] [Revised: 12/15/2023] [Accepted: 12/15/2023] [Indexed: 12/23/2023] Open
Abstract
PURPOSE The UK 100,000 Genomes Project offered participants screening for additional findings (AFs) in genes associated with familial hypercholesterolemia (FH) or hereditary cancer syndromes including breast/ovarian cancer (HBOC), Lynch, familial adenomatous polyposis, MYH-associated polyposis, multiple endocrine neoplasia (MEN), and von Hippel-Lindau. Here, we report disclosure processes, manifestation of AF-related disease, outcomes, and costs. METHODS An observational study in an area representing one-fifth of England. RESULTS Data were collected from 89 adult AF recipients. At disclosure, among 57 recipients of a cancer-predisposition-associated AF and 32 recipients of an FH-associated AF, 35% and 88%, respectively, had personal and/or family history evidence of AF-related disease. During post-disclosure investigations, 4 cancer-AF recipients had evidence of disease, including 1 medullary thyroid cancer. Six women with an HBOC AF, 3 women with a Lynch syndrome AF, and 2 individuals with a MEN AF elected for risk-reducing surgery. New hyperlipidemia diagnoses were made in 6 FH-AF recipients and treatment (re-)initiated for 7 with prior hyperlipidemia. Generating and disclosing AFs in this region cost £1.4m; £8680 per clinically significant AF. CONCLUSION Generation and disclosure of AFs identifies individuals with and without personal or familial evidence of disease and prompts appropriate clinical interventions. Results can inform policy toward secondary findings.
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Affiliation(s)
- Joshua Nolan
- Radcliffe Department of Medicine, University of Oxford, United Kingdom
| | - James Buchanan
- Health Economics Research Centre, University of Oxford, United Kingdom
| | - John Taylor
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Joao Almeida
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Tina Bedenham
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Edward Blair
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Suzanne Broadgate
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Samantha Butler
- Birmingham Women's and Children's Hospitals NHS Foundation Trust, Birmingham, United Kingdom
| | - Angela Cazeaux
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Judith Craft
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Treena Cranston
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Gillian Crawford
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Jamie Forrest
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom; University of Manchester, Manchester, United Kingdom
| | - Jessica Gabriel
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Elaine George
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Donna Gillen
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Ash Haeger
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | | | - Lara Hawkes
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Claire Hodgkiss
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Jonathan Hoffman
- Birmingham Women's and Children's Hospitals NHS Foundation Trust, Birmingham, United Kingdom
| | - Alan Jones
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Fredrik Karpe
- Radcliffe Department of Medicine, University of Oxford, United Kingdom; NIHR Oxford Biomedical Research Centre, Oxford, United Kingdom
| | - Dalia Kasperaviciute
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Erika Kovacs
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Sarah Leigh
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Elizabeth Limb
- Population Health Research Institute, St George's University of London, London, United Kingdom
| | - Anjali Lloyd-Jani
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Javier Lopez
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Anneke Lucassen
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom; Centre for Personalised Medicine, Nuffield Department of Medicine, University of Oxford, United Kingdom
| | - Carlos McFarlane
- Birmingham Women's and Children's Hospitals NHS Foundation Trust, Birmingham, United Kingdom
| | - Anthony W O'Rourke
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Emily Pond
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Catherine Sherman
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Helen Stewart
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Ellen Thomas
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Simon Thomas
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Tessy Thomas
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Kate Thomson
- Oxford Genetic Laboratories, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Hannah Wakelin
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Susan Walker
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Melanie Watson
- University Hospitals Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Eleanor Williams
- Genomics England, United Kingdom Department of Health and Social Care, United Kingdom
| | - Elizabeth Ormondroyd
- Radcliffe Department of Medicine, University of Oxford, United Kingdom; NIHR Oxford Biomedical Research Centre, Oxford, United Kingdom.
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Suehnholz SP, Nissan MH, Zhang H, Kundra R, Nandakumar S, Lu C, Carrero S, Dhaneshwar A, Fernandez N, Xu BW, Arcila ME, Zehir A, Syed A, Brannon AR, Rudolph JE, Paraiso E, Sabbatini PJ, Levine RL, Dogan A, Gao J, Ladanyi M, Drilon A, Berger MF, Solit DB, Schultz N, Chakravarty D. Quantifying the Expanding Landscape of Clinical Actionability for Patients with Cancer. Cancer Discov 2024; 14:49-65. [PMID: 37849038 PMCID: PMC10784742 DOI: 10.1158/2159-8290.cd-23-0467] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/18/2023] [Accepted: 10/02/2023] [Indexed: 10/19/2023]
Abstract
There is a continuing debate about the proportion of cancer patients that benefit from precision oncology, attributable in part to conflicting views as to which molecular alterations are clinically actionable. To quantify the expansion of clinical actionability since 2017, we annotated 47,271 solid tumors sequenced with the MSK-IMPACT clinical assay using two temporally distinct versions of the OncoKB knowledge base deployed 5 years apart. Between 2017 and 2022, we observed an increase from 8.9% to 31.6% in the fraction of tumors harboring a standard care (level 1 or 2) predictive biomarker of therapy response and an almost halving of tumors carrying nonactionable drivers (44.2% to 22.8%). In tumors with limited or no clinical actionability, TP53 (43.2%), KRAS (19.2%), and CDKN2A (12.2%) were the most frequently altered genes. SIGNIFICANCE Although clear progress has been made in expanding the availability of precision oncology-based treatment paradigms, our results suggest a continued unmet need for innovative therapeutic strategies, particularly for cancers with currently undruggable oncogenic drivers. See related commentary by Horak and Fröhling, p. 18. This article is featured in Selected Articles from This Issue, p. 5.
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Affiliation(s)
- Sarah P. Suehnholz
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Moriah H. Nissan
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Hongxin Zhang
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ritika Kundra
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Subhiksha Nandakumar
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Calvin Lu
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Stephanie Carrero
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Amanda Dhaneshwar
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nicole Fernandez
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Benjamin W. Xu
- Department of Computer Science, Yale University, New Haven, Connecticut
| | - Maria E. Arcila
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ahmet Zehir
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Aijazuddin Syed
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - A. Rose Brannon
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Julia E. Rudolph
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Eder Paraiso
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Paul J. Sabbatini
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ross L. Levine
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jianjiong Gao
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marc Ladanyi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Alexander Drilon
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Michael F. Berger
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David B. Solit
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nikolaus Schultz
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Debyani Chakravarty
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
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Liu Y, Li X, Chen S, Zhu C, Shi Y, Dang S, Zhang W, Li W. Pan-cancer analysis of SERPINE family genes as biomarkers of cancer prognosis and response to therapy. Front Mol Biosci 2024; 10:1277508. [PMID: 38274096 PMCID: PMC10808646 DOI: 10.3389/fmolb.2023.1277508] [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: 08/14/2023] [Accepted: 12/29/2023] [Indexed: 01/27/2024] Open
Abstract
Background: Serine protease inhibitor E (SERPINE) family genes participate in the tumor growth, cancer cell survival and metastasis. However, the SERPINE family members role in the prognosis and their clinical therapeutic potentials in various human cancer types have not been elaborately explored. Methods: We preliminarily analyzed expression levels and prognostic values of SERPINE family genes, and investigated the correlation between SERPINEs expression and tumor microenvironment (TME), Stemness score, clinical characteristic, immune infiltration, tumor mutational burden (TMB), immune subtype, and drug sensitivity in pan-cancer, which based on updated public databases and integrated some bioinformatics analysis methods. In addition, we conducted the enrichment analysis of SERPINEs from DAVID and KOBAS databases. Results: SERPINE1, SERPINE2, and SERPINE3 expression were upregulated in nine cancers, twelve cancers, and six cancers, respectively. The expression of SERPINE family genes was associated with the prognosis in several cancers from The Cancer Genome Atlas (TCGA). Furthermore, SERPINE family genes expression also had a significant relation to stromal and immune scores, and RNA stemness score and DNA stemness score in pan-cancer. SERPINE1 and SERPINE2 expression significantly increased in tumor advanced stage in colon adenocarcinoma (COAD). Results showed that SERPINE1 and SERPINE2 expression were negatively related with B cells and Monocytes, respectively. SERPINE2 expression had a significantly positive relation with B cells and Macrophages. In terms of TMB, SERPINE1, SERPINE2, and SERPINE3 were found to associated with TMB in seven cancers, fourteen cancers, and four cancers, respectively. Moreover, all SERPINE gene family members were significantly correlated with immune subtypes. SERPINE1 expression had a significantly positive or negative correlation with drug sensitivity. Conclusion: The study indicated the great potential of SERPINE family genes as biomarkers for prognosis and provided valuable strategies for further investigation of SERPINE family genes as potential targets in cancer.
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Affiliation(s)
| | | | | | | | | | | | | | - Wei Li
- Department of Cancer Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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25
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Derbal Y. Adaptive Control of Tumor Growth. Cancer Control 2024; 31:10732748241230869. [PMID: 38294947 PMCID: PMC10832444 DOI: 10.1177/10732748241230869] [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: 09/25/2023] [Revised: 12/04/2023] [Accepted: 01/15/2024] [Indexed: 02/02/2024] Open
Abstract
Cancer treatment optimizations select the most optimum combinations of drugs, sequencing schedules, and appropriate doses that would limit toxicity and yield an improved patient quality of life. However, these optimizations often lack an adequate consideration of cancer's near-infinite potential for evolutionary adaptation to therapeutic interventions. Adapting cancer therapy based on monitored tumor burden and clonal composition is an intuitively sound approach to the treatment of cancer as an inherently complex and adaptive system. The adaptation would be driven by clinical outcome setpoints embodying the aims to thwart therapeutic resistance and maintain a long-term management of the disease or even a cure. However, given the nonlinear, stochastic dynamics of tumor response to therapeutic interventions, adaptive therapeutic strategies may at least need a one-step-ahead prediction of tumor burden to maintain their control over tumor growth dynamics. The article explores the feasibility of adaptive cancer treatment driven by tumor state feedback assuming cell adaptive fitness to be the underlying source of phenotypic plasticity and pathway entropy as a biomarker of tumor growth trajectory. The exploration is undertaken using deterministic and stochastic models of tumor growth dynamics.
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Affiliation(s)
- Youcef Derbal
- Ted Rogers School of Information Technology Management, Toronto Metropolitan University, Toronto, ON, Canada
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26
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Cai L, Liu T, Hua H, Jiang X, Qian L. m6A modification patterns are associated with copy number burden and tumor immune landscape in thyroid cancer. BMC Endocr Disord 2023; 23:271. [PMID: 38057752 DOI: 10.1186/s12902-023-01510-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 11/09/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND The association involving N6-methyladenosine (m6A) modification, molecular subtype and specific immune cell group in tumor microenvironment has been the focus of recent studies. The underlying function of m6A modification in thyroid cancer (TC) remains elusive. METHODS The m6A modification regulations, molecular character and tumor immune profile of 461 TC patients were explored and then the correlation between them were comprehensively evaluated. The m6Ascore was established using principal component analysis (PCA) to quantify the m6A pattern of individual TC patients. The prognostic significance of the m6Ascore was evaluated by multivariate Cox regression analysis. RESULTS Four m6Aclusters (mc1, 2, 3, 4)-characterized by differences in extent of aneuploidy, expression of immunomodulatory genes, mRNA or lncRNA expression pattern and prognosis were identified. T Preliminary validation of m6Ascore was a potential independent prognostic factor of TC involving in mc3. Finally, the prognostic value of the m6Ascore and its association with copy number variation (CNV) and tumor immune microenvironment (TIME) of TC in mc3 were verified. CONCLUSIONS The correlation between m6A modification, the copy number burden and tumor immune landscape in TC was demonstrated. A m6Acluster-mc3 with low m6Ascore and high CNV molecular subtype was identified with poor clinical prognosis, low infiltrating immunocyte and weak effector T cell. A three-gene clinical prognosis model for TC based on 4 m6a cluster expression was established. Understanding of TIME is enhanced by comprehensive assessment of m6A patterns in individual TC patients and gives a new insight toward improved immunotherapy strategies for TC cancer patients.
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Affiliation(s)
- Liangliang Cai
- Institute of Translational Medicine, Medical College, Yangzhou University, No. 48 East Wenhui Road, Yangzhou, Jiangsu, 225009, PR China
- Jiangsu Key Laboratory of Experimental & Translational Non-coding RNA Research, Yangzhou, 225001, PR China
| | - Tingting Liu
- Department of Orthopedics, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225000, PR China
| | - Hujia Hua
- Institute of Translational Medicine, Medical College, Yangzhou University, No. 48 East Wenhui Road, Yangzhou, Jiangsu, 225009, PR China
- Jiangsu Key Laboratory of Experimental & Translational Non-coding RNA Research, Yangzhou, 225001, PR China
| | - Xingyu Jiang
- Institute of Translational Medicine, Medical College, Yangzhou University, No. 48 East Wenhui Road, Yangzhou, Jiangsu, 225009, PR China
- Jiangsu Key Laboratory of Experimental & Translational Non-coding RNA Research, Yangzhou, 225001, PR China
| | - Li Qian
- Institute of Translational Medicine, Medical College, Yangzhou University, No. 48 East Wenhui Road, Yangzhou, Jiangsu, 225009, PR China.
- Jiangsu Key Laboratory of Experimental & Translational Non-coding RNA Research, Yangzhou, 225001, PR China.
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27
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Veney D, Wei L, Toland AE, Presley CJ, Hampel H, Padamsee TJ, Lee CN, Irvin WJ, Bishop M, Kim J, Hovick SR, Senter L, Stover DG. A Video Intervention to Improve Patient Understanding of Tumor Genomic Testing in Patients with Cancer. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.05.23299443. [PMID: 38106014 PMCID: PMC10723483 DOI: 10.1101/2023.12.05.23299443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Background Tumor genomic testing (TGT) has become standard-of-care for most patients with advanced/metastatic cancer. Despite established guidelines, patient education prior to TGT is variable or frequently omitted. The purpose of this study was to evaluate the impact of a concise (3-4 minute) video for patient education prior to TGT. Methods Based on a quality improvement cycle, an animated video was created to be applicable to any cancer type, incorporating culturally diverse images, available in English and Spanish. Patients undergoing standard-of care TGT were enrolled at a tertiary academic institution and completed validated survey instruments immediately prior to video viewing (T1) and immediately post-viewing (T2). Instruments included: 1) 10-question objective genomic knowledge/understanding; 2) 10-question video message-specific knowledge/recall; 3) 11-question Trust in Physician/Provider; 4) attitudes regarding TGT. The primary objective was change in outcomes from before to after the video was assessed with Wilcoxon signed rank test. Results From April 2022 to May 2023, a total of 150 participants were enrolled (MBC n=53, LC n=38, OC n=59). For the primary endpoint, there was a significant increase in video message-specific knowledge (median 10 point increase; p<0.0001) with no significant change in genomic knowledge/understanding (p=0.89) or Trust in Physician/Provider (p=0.59). Results for five questions significantly improved, including the likelihood of TGT impact on treatment decision, incidental germline findings, and cost of testing. Improvement in video message-specific knowledge was consistent across demographic groups, including age, income, and education. Individuals with less educational attainment had had greater improvement from before to after video viewing. Conclusions A concise, 3-4 minute, broadly applicable video incorporating culturally diverse images administered prior to TGT significantly improved video message-specific knowledge across all demographic groups. This resource is publicly available at http://www.tumor-testing.com, with a goal to efficiently educate and empower patients regarding TGT while addressing guidelines within the flow of clinical practice. Clinical Trial Registration ClinicalTrials.gov NCT05215769.
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Affiliation(s)
- Deloris Veney
- Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH, 43210 USA
| | - Lai Wei
- Department of Biomedical Informatics, Ohio State University, Columbus, OH, 43210 USA
| | - Amanda E. Toland
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, 43210 USA
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, 43210 USA
| | - Carolyn J. Presley
- Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH, 43210 USA
| | - Heather Hampel
- Division of Clinical Cancer Genomics, Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA 91010
| | - Tasleem J. Padamsee
- Division of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus, OH, 43210, USA
| | - Clara N. Lee
- Division of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus, OH, 43210, USA
| | - William J. Irvin
- Bon Secours Cancer Institute at St. Francis, Richmond, Virginia, USA
| | | | - James Kim
- Bon Secours-Mercy Health St. Elizabeth, Youngstown, Ohio, USA
| | - Shelly R. Hovick
- School of Communication, Ohio State University, Columbus, OH, 43210 USA
| | - Leigha Senter
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, 43210 USA
| | - Daniel G. Stover
- Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH, 43210 USA
- Department of Biomedical Informatics, Ohio State University, Columbus, OH, 43210 USA
- Pelotonia Institute for Immuno-Oncology, Ohio State University Comprehensive Cancer, Columbus, OH, 43210 USA
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28
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Zang K, Wang M, Zhu X, Yao B, Huang Y. A novel necroptosis signature for predicting survival in lung adenocarcinoma. BMC Med Genomics 2023; 16:305. [PMID: 38017445 PMCID: PMC10685572 DOI: 10.1186/s12920-023-01748-9] [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: 06/05/2023] [Accepted: 11/22/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND To explore the necroptosis-related genes (NRGs) signature and its predictive values in lung adenocarcinoma (LUAD). METHODS The training cohort consisted of tumor samples from The Cancer Genome Atlas, and the validation set comprised data from the Gene Expression Omnibus. Univariate and multivariate Cox regression analyses were applied to identify the prognostic NRG signature as an independent molecular indicator. Correlation analysis was used for the association assessment between the NRG signature and immune checkpoint molecules. RESULTS NRGs involved in necroptosis and immune NOD-like receptor signaling. The NRG signature based on eight NRGs can divide tumors into high-risk and low-risk groups, which was significantly associated with worse survival. Multivariate Cox regression analysis showed that this NRG signature remained an independent prognostic indicator. Stratification analyses demonstrated that this NRG signature was still effective for predicting survival in each stratum of age, gender, and tumor stage. The ROC curve showed a good predictive ability using the NRG signature in the validation cohort (AUC = 0.81). The NRG signature was related to immune checkpoint molecules PD - 1, PD-L1, and PD-L2. CONCLUSIONS The NRG signature could be a novel predictor of the prognosis and may become a potential therapeutic target in LUAD.
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Affiliation(s)
- Kui Zang
- Department of ICU, the Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Jiangsu Province, Huai'an, No.1, Huanghe West Road, Huaiyin District, 223300, China
| | - Min Wang
- Department of ICU, the Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Jiangsu Province, Huai'an, No.1, Huanghe West Road, Huaiyin District, 223300, China
| | - Xingxing Zhu
- Department of ICU, the Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Jiangsu Province, Huai'an, No.1, Huanghe West Road, Huaiyin District, 223300, China
| | - Bin Yao
- Department of ICU, the Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Jiangsu Province, Huai'an, No.1, Huanghe West Road, Huaiyin District, 223300, China
| | - Ying Huang
- Department of ICU, the Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Jiangsu Province, Huai'an, No.1, Huanghe West Road, Huaiyin District, 223300, China.
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29
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Pankiw M, Brezden-Masley C, Charames GS. Comprehensive genomic profiling for oncological advancements by precision medicine. Med Oncol 2023; 41:1. [PMID: 37993657 DOI: 10.1007/s12032-023-02228-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 10/25/2023] [Indexed: 11/24/2023]
Abstract
Considerable advancements in next generation sequencing (NGS) techniques have sparked the use of comprehensive genomic profiling (CGP) as a guiding tool for precision-centered oncological treatments. The past two decades have seen the completion of the human genome project, and the consequential invention of NGS. High-throughput sequencing technologies support the discovery and commonplace use of individualized cancer treatments, specifically immune-centered checkpoint inhibitor therapies, and oncogene and tumor suppressor gene targeted therapies. Nevertheless, CGP is not commonly used in all clinical settings. This review investigates the clinically relevant applications of CGP. Studies published between the years 2000-2023 have shown substantial evidence of the benefits of integrating CGP into routine care practice, while also making important comparisons to current-standard oncological treatment strategies. Findings of a comprehensive genomic profile includes predictive, prognostic, and diagnostic biomarkers, together with somatic mutation identification which can indicate the efficacy of immunotherapies and molecularly guided therapies. This review highlights the importance of CGP in identifying driver mutations in tumors that subsequently can be effectively targeted with molecular therapeutics and lead to drug discovery, allowing for increased precision in treating tumors selectively based on their specific genetic mutations, thereby improving patient outcomes.
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Affiliation(s)
- Maya Pankiw
- Department of Medicine, Mount Sinai Hospital, Toronto, ON, Canada
- Department of Pathology and Lab Medicine, Mount Sinai Hospital, Toronto, ON, Canada
| | - Christine Brezden-Masley
- Department of Medicine, Mount Sinai Hospital, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - George S Charames
- Department of Pathology and Lab Medicine, Mount Sinai Hospital, Toronto, ON, Canada.
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
- Department of Lab Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
- Mount Sinai Services, Toronto, ON, Canada.
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30
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Wang D, Wang S, Zhang Y, Cheng X, Huang X, Han Y, Chen Z, Liu C, Li J, Zhang R. Validation and benchmarking of targeted panel sequencing for cancer genomic profiling. Am J Clin Pathol 2023; 160:507-523. [PMID: 37477357 DOI: 10.1093/ajcp/aqad078] [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: 03/28/2023] [Accepted: 06/22/2023] [Indexed: 07/22/2023] Open
Abstract
OBJECTIVES To validate a large next-generation sequencing (NGS) panel for comprehensive genomic profiling and improve patient access to more effective precision oncology treatment strategies. METHODS OncoPanScan was designed by targeting 825 cancer-related genes to detect a broad range of genomic alterations. A practical validation strategy was used to evaluate the assay's analytical performance, involving 97 tumor specimens with 25 paired blood specimens, 10 engineered cell lines, and 121 artificial reference DNA samples. RESULTS Overall, 1107 libraries were prepared and the sequencing failure rate was 0.18%. Across alteration classes, sensitivity ranged from 0.938 to more than 0.999, specificity ranged from 0.889 to more than 0.999, positive predictive value ranged from 0.867 to more than 0.999, repeatability ranged from 0.908 to more than 0.999, and reproducibility ranged from 0.832 to more than 0.999. The limit of detection for variants was established based on variant frequency, while for tumor mutation burden and microsatellite instability, it was based on tumor content, resulting in a minimum requirement of 20% tumor content. Benchmarking variant calls against validated NGS assays revealed that variations in the dry-bench processes were the primary cause of discordances. CONCLUSIONS This study presents a detailed validation framework and empirical recommendations for large panel validation and elucidates the sources of discordant alteration calls by comparing with "gold standard measures."
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Affiliation(s)
- Duo Wang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | | | - Yuanfeng Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | | | - Xin Huang
- Genetron Health (Beijing), Beijing, China
| | - Yanxi Han
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | | | - Cong Liu
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | - Jinming Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | - Rui Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
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31
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Ptashkin RN, Ewalt MD, Jayakumaran G, Kiecka I, Bowman AS, Yao J, Casanova J, Lin YTD, Petrova-Drus K, Mohanty AS, Bacares R, Benhamida J, Rana S, Razumova A, Vanderbilt C, Balakrishnan Rema A, Rijo I, Son-Garcia J, de Bruijn I, Zhu M, Lachhander S, Wang W, Haque MS, Seshan VE, Wang J, Liu Y, Nafa K, Borsu L, Zhang Y, Aypar U, Suehnholz SP, Chakravarty D, Park JH, Abdel-Wahab O, Mato AR, Xiao W, Roshal M, Yabe M, Batlevi CL, Giralt S, Salles G, Rampal R, Tallman M, Stein EM, Younes A, Levine RL, Perales MA, van den Brink MRM, Dogan A, Ladanyi M, Berger MF, Brannon AR, Benayed R, Zehir A, Arcila ME. Enhanced clinical assessment of hematologic malignancies through routine paired tumor and normal sequencing. Nat Commun 2023; 14:6895. [PMID: 37898613 PMCID: PMC10613284 DOI: 10.1038/s41467-023-42585-9] [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: 04/05/2023] [Accepted: 10/16/2023] [Indexed: 10/30/2023] Open
Abstract
Genomic profiling of hematologic malignancies has augmented our understanding of variants that contribute to disease pathogenesis and supported development of prognostic models that inform disease management in the clinic. Tumor only sequencing assays are limited in their ability to identify definitive somatic variants, which can lead to ambiguity in clinical reporting and patient management. Here, we describe the MSK-IMPACT Heme cohort, a comprehensive data set of somatic alterations from paired tumor and normal DNA using a hybridization capture-based next generation sequencing platform. We highlight patterns of mutations, copy number alterations, and mutation signatures in a broad set of myeloid and lymphoid neoplasms. We also demonstrate the power of appropriate matching to make definitive somatic calls, including in patients who have undergone allogeneic stem cell transplant. We expect that this resource will further spur research into the pathobiology and clinical utility of clinical sequencing for patients with hematologic neoplasms.
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Affiliation(s)
- Ryan N Ptashkin
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- C2i Genomics, New York, NY, USA
| | - Mark D Ewalt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Gowtham Jayakumaran
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Guardant Health, Palo Alto, CA, USA
| | - Iwona Kiecka
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anita S Bowman
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - JinJuan Yao
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jacklyn Casanova
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yun-Te David Lin
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kseniya Petrova-Drus
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Abhinita S Mohanty
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ruben Bacares
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jamal Benhamida
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Satshil Rana
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anna Razumova
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Chad Vanderbilt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anoop Balakrishnan Rema
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ivelise Rijo
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Julie Son-Garcia
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ino de Bruijn
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Menglei Zhu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sean Lachhander
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wei Wang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mohammad S Haque
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Venkatraman E Seshan
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jiajing Wang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ying Liu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Khedoudja Nafa
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Laetitia Borsu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yanming Zhang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Umut Aypar
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sarah P Suehnholz
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Debyani Chakravarty
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jae H Park
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Omar Abdel-Wahab
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anthony R Mato
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wenbin Xiao
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mikhail Roshal
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mariko Yabe
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Connie Lee Batlevi
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sergio Giralt
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gilles Salles
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Raajit Rampal
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Martin Tallman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA
| | - Eytan M Stein
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anas Younes
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Oncology R&D, AstraZeneca, New York, NY, USA
| | - Ross L Levine
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Miguel-Angel Perales
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Marcel R M van den Brink
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marc Ladanyi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael F Berger
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - A Rose Brannon
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ryma Benayed
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Oncology R&D, AstraZeneca, New York, NY, USA
| | - Ahmet Zehir
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Oncology R&D, AstraZeneca, New York, NY, USA.
| | - Maria E Arcila
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Yuan X, He Y, Wang W. ceRNA network-regulated COL1A2 high expression correlates with poor prognosis and immune infiltration in colon adenocarcinoma. Sci Rep 2023; 13:16932. [PMID: 37805556 PMCID: PMC10560230 DOI: 10.1038/s41598-023-43507-x] [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: 11/02/2021] [Accepted: 09/25/2023] [Indexed: 10/09/2023] Open
Abstract
Collagen type I α 2 (COL1A2) is a major component of collagen type I. Recently, abnormal COL1A2 expression has been reported in human cancers. However, the specific role and mechanism of COL1A2 in colon adenocarcinoma (COAD) remain unclear. We performed the pan-cancer analysis of COL1A2 expression in 33 types of human cancers from TIMER database and integrated data combined TCGA with GTEx. The prognostic values of COL1A2 for 17 cancer types of interest were estimated from GEPIA database. The results showed that COL1A2 was significantly upregulated in COAD tissues and that higher COL1A2 expression predicted unfavorable prognosis for patients with COAD. Next, COL1A2-related functional pathways in COAD were analyzed with TCGA data using R package. Additionally, we constructed a ceRNA network that LINC00638/hsa-miR-552-3p axis served as a potential regulatory pathway of COL1A2 in COAD. Furthermore, our findings showed that COL1A2 positively associated with immune infiltration and that tumor immune escape might be involved in COL1A2-mediated carcinogenesis in COAD. For the first time, we constructed a ceRNA prediction network of COL1A2 and explored the association of COL1A2 with tumor immune microenvironment remodeling. The findings may advance our understanding of the pathogenesis mechanism in COAD and paves the way for further cancer therapeutics.
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Affiliation(s)
- Xia Yuan
- Gastroenterology and Urology Department II, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, No. 283, Tongzipo Road, Changsha, 410013, People's Republic of China
- Clinical Research Center for Gastrointestinal Cancer in Hunan Province, Changsha, People's Republic of China
| | - Yi He
- Gastroenterology and Urology Department II, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, No. 283, Tongzipo Road, Changsha, 410013, People's Republic of China
- Clinical Research Center for Gastrointestinal Cancer in Hunan Province, Changsha, People's Republic of China
| | - Wei Wang
- Gastroenterology and Urology Department II, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, No. 283, Tongzipo Road, Changsha, 410013, People's Republic of China.
- Clinical Research Center for Gastrointestinal Cancer in Hunan Province, Changsha, People's Republic of China.
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Wei L, Niraula D, Gates EDH, Fu J, Luo Y, Nyflot MJ, Bowen SR, El Naqa IM, Cui S. Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration. Br J Radiol 2023; 96:20230211. [PMID: 37660402 PMCID: PMC10546458 DOI: 10.1259/bjr.20230211] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 06/15/2023] [Accepted: 06/27/2023] [Indexed: 09/05/2023] Open
Abstract
Multiomics data including imaging radiomics and various types of molecular biomarkers have been increasingly investigated for better diagnosis and therapy in the era of precision oncology. Artificial intelligence (AI) including machine learning (ML) and deep learning (DL) techniques combined with the exponential growth of multiomics data may have great potential to revolutionize cancer subtyping, risk stratification, prognostication, prediction and clinical decision-making. In this article, we first present different categories of multiomics data and their roles in diagnosis and therapy. Second, AI-based data fusion methods and modeling methods as well as different validation schemes are illustrated. Third, the applications and examples of multiomics research in oncology are demonstrated. Finally, the challenges regarding the heterogeneity data set, availability of omics data, and validation of the research are discussed. The transition of multiomics research to real clinics still requires consistent efforts in standardizing omics data collection and analysis, building computational infrastructure for data sharing and storing, developing advanced methods to improve data fusion and interpretability, and ultimately, conducting large-scale prospective clinical trials to fill the gap between study findings and clinical benefits.
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Affiliation(s)
- Lise Wei
- Department of Radiation Oncology, University of Michigan, Michigan, United States
| | - Dipesh Niraula
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, United States
| | - Evan D. H. Gates
- Department of Radiation Oncology, University of Washington, Washington, United States
| | - Jie Fu
- Department of Radiation Oncology, Stanford University, Stanford, California, United States
| | - Yi Luo
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, United States
| | - Matthew J. Nyflot
- Department of Radiation Oncology, University of Washington, Washington, United States
| | - Stephen R. Bowen
- Department of Radiation Oncology, University of Washington, Washington, United States
| | - Issam M El Naqa
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, United States
| | - Sunan Cui
- Department of Radiation Oncology, University of Washington, Washington, United States
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Zhang Z, Wang Z, Dong C, Sun C, Zheng W, Wang K, Zhang W, Song Z, Zhao S, Si Z, Gao W, Shen Z. Serum CXCL8 Concentration Can Be Used as a Noninvasive Marker of Subclinical Rejection After Pediatric Liver Transplantation. Transplantation 2023; 107:1999-2008. [PMID: 37607014 DOI: 10.1097/tp.0000000000004601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
BACKGROUND This study aimed to explore whether serum CXCL8 concentration can be used as a noninvasive marker of subclinical rejection (SCR) after pediatric liver transplantation (pLT). METHODS Firstly, RNA sequencing (RNA-seq) was performed on 22 protocol liver biopsy samples. Secondly, several experimental methods were used to verify the RNA-seq results. Finally, the clinical data and serum samples of 520 LT patients in the Department of Pediatric Transplantation of Tianjin First Central Hospital from January 2018 to December 2019 were collected. RESULTS RNA-seq results indicated that CXCL8 was significantly increased in the SCR group. The results of the 3 experimental methods were consistent with RNA-seq results. According to the 1:2 propensity score matching, 138 patients were divided into the SCR (n = 46) and non-SCR (n = 92) groups. Serological test results indicated that there was no difference in preoperative CXCL8 concentration between the SCR and non-SCR groups ( P > 0.05). However, during protocol biopsy, CXCL8 in the SCR group was significantly higher than in the non-SCR group ( P < 0.001). In diagnosing SCR, receiver operating characteristic curve analysis showed that the area under the curve of CXCL8 was 0.966 (95% confidence interval, 0.938-0.995), sensitivity was 95%, and specificity was 94.6%. In differentiating nonborderline from borderline rejection, the area under the curve of CXCL8 was 0.853 (95% confidence interval, 0.718-0.988), sensitivity was 86.7%, and specificity was 94.6%. CONCLUSIONS This study demonstrates that serum CXCL8 concentration has high accuracy for the diagnosis and disease stratification of SCR after pLT.
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Affiliation(s)
- Zhixin Zhang
- First Central Clinic Institute, Tianjin Medical University, Tianjin, China
| | - Zhenglu Wang
- Department of Pediatric Transplantation, Organ Transplantation Center, Tianjin Key Laboratory of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - Chong Dong
- Department of Pediatric Transplantation, Organ Transplantation Center, Tianjin Key Laboratory of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - Chao Sun
- Department of Pediatric Transplantation, Organ Transplantation Center, Tianjin Key Laboratory of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - Weiping Zheng
- Department of Pediatric Transplantation, Organ Transplantation Center, Tianjin Key Laboratory of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - Kai Wang
- Department of Pediatric Transplantation, Organ Transplantation Center, Tianjin Key Laboratory of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - Wei Zhang
- Department of Pediatric Transplantation, Organ Transplantation Center, Tianjin Key Laboratory of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - Zhuolun Song
- Department of Pediatric Transplantation, Organ Transplantation Center, Tianjin Key Laboratory of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - Shengqiao Zhao
- First Central Clinic Institute, Tianjin Medical University, Tianjin, China
| | - Zhuyuan Si
- First Central Clinic Institute, Tianjin Medical University, Tianjin, China
| | - Wei Gao
- Department of Pediatric Transplantation, Organ Transplantation Center, Tianjin Key Laboratory of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - ZhongYang Shen
- Department of Pediatric Transplantation, Organ Transplantation Center, Tianjin Key Laboratory of Organ Transplantation, Tianjin First Central Hospital, Tianjin, China
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Sakthikumar S, Facista S, Whitley D, Byron SA, Ahmed Z, Warrier M, Zhu Z, Chon E, Banovich K, Haworth D, Hendricks WPD, Wang G. Standing in the canine precision medicine knowledge gap: Improving annotation of canine cancer genomic biomarkers through systematic comparative analysis of human cancer mutations in COSMIC. Vet Comp Oncol 2023; 21:482-491. [PMID: 37248814 DOI: 10.1111/vco.12911] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 04/26/2023] [Accepted: 05/08/2023] [Indexed: 05/31/2023]
Abstract
The accrual of cancer mutation data and related functional and clinical associations have revolutionised human oncology, enabling the advancement of precision medicine and biomarker-guided clinical management. The catalogue of cancer mutations is also growing in canine cancers. However, without direct high-powered functional data in dogs, it remains challenging to interpret and utilise them in research and clinical settings. It is well-recognised that canine and human cancers share genetic, molecular and phenotypic similarities. Therefore, leveraging the massive wealth of human mutation data may help advance canine oncology. Here, we present a structured analysis of sequence conservation and conversion of human mutations to the canine genome through a 'caninisation' process. We applied this analysis to COSMIC, the Catalogue of Somatic Mutations in Cancer, the most prominent human cancer mutation database. For the project's initial phase, we focused on the subset of the COSMIC data corresponding to Cancer Gene Census (CGC) genes. A total of 670 canine orthologs were found for 721 CGC genes. In these genes, 365 K unique mutations across 160 tumour types were converted successfully to canine coordinates. We identified shared putative cancer-driving mutations, including pathogenic and hotspot mutations and mutations bearing similar biomarker associations with diagnostic, prognostic and therapeutic utility. Thus, this structured caninisation of human cancer mutations facilitates the interpretation and annotation of canine mutations and helps bridge the knowledge gap to enable canine precision medicine.
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Affiliation(s)
| | | | - Derick Whitley
- Vidium Animal Health, a TGen Subsidiary, Phoenix, Arizona, USA
| | - Sara A Byron
- Translational Genomics Research Institute, Phoenix, Arizona, USA
| | - Zeeshan Ahmed
- Vidium Animal Health, a TGen Subsidiary, Phoenix, Arizona, USA
| | - Manisha Warrier
- Vidium Animal Health, a TGen Subsidiary, Phoenix, Arizona, USA
| | - Zhanyang Zhu
- Vidium Animal Health, a TGen Subsidiary, Phoenix, Arizona, USA
| | - Esther Chon
- Vidium Animal Health, a TGen Subsidiary, Phoenix, Arizona, USA
| | | | - David Haworth
- Vidium Animal Health, a TGen Subsidiary, Phoenix, Arizona, USA
| | | | - Guannan Wang
- Vidium Animal Health, a TGen Subsidiary, Phoenix, Arizona, USA
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36
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Li Q, Yang Z, He X, Yang X. Comprehensive analysis of PILRΑ's association with the prognosis, tumor immune infiltration, and immunotherapy in pan-cancer. Sci Rep 2023; 13:14334. [PMID: 37652967 PMCID: PMC10471747 DOI: 10.1038/s41598-023-41649-6] [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] [Received: 02/22/2023] [Accepted: 08/29/2023] [Indexed: 09/02/2023] Open
Abstract
Paired immunoglobulin-like type 2 receptor alpha (PILRA) plays a vital role in regulating broad immune responses. However, the roles of PILRA in cancer immunity remain unexplored yet. In the current study, we comprehensively analyzed the oncogenic and immunologic roles of PILRA at a pan-cancer level based on the Cancer Genome Atlas and Gene Expression Omnibus datasets. PILRA was significantly dysregulated and frequently mutated in pan-cancer. Its expression and mutation status significantly impacted patient prognosis in several cancers. Besides, PILRA expression was positively correlated with ESTIMATE scores and the abundances of tumor-infiltrating immune cells. Concurrently, PILRA expression was significantly associated with predictive biomarkers of cancer immunotherapy, and positively correlated with the prognostic outcomes of cancer patients receiving immunotherapy. Mechanistically, enrichment analysis implied that PILRA might be involved in the regulation of immune response and metabolic process. This study uncovered the immunological roles of PILRA in cancers and its potential as a novel biomarker and therapeutic target for cancer immunotherapy.
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Affiliation(s)
- Qiao Li
- Department of Pathology, People's Hospital of Deyang City, Deyang, China
| | - Zhirong Yang
- Department of Pathology, People's Hospital of Deyang City, Deyang, China
| | - Xiaoyan He
- Department of Pathology, People's Hospital of Deyang City, Deyang, China
| | - Xin Yang
- Department of Surgery, People's Hospital of Deyang City, Deyang, China.
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37
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Wang F, Xu Y, Wang R, Zhang B, Smith N, Notaro A, Gaerlan S, Kutschera E, Kadash-Edmondson KE, Xing Y, Lin L. TEQUILA-seq: a versatile and low-cost method for targeted long-read RNA sequencing. Nat Commun 2023; 14:4760. [PMID: 37553321 PMCID: PMC10409798 DOI: 10.1038/s41467-023-40083-6] [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: 12/03/2022] [Accepted: 07/11/2023] [Indexed: 08/10/2023] Open
Abstract
Long-read RNA sequencing (RNA-seq) is a powerful technology for transcriptome analysis, but the relatively low throughput of current long-read sequencing platforms limits transcript coverage. One strategy for overcoming this bottleneck is targeted long-read RNA-seq for preselected gene panels. We present TEQUILA-seq, a versatile, easy-to-implement, and low-cost method for targeted long-read RNA-seq utilizing isothermally linear-amplified capture probes. When performed on the Oxford nanopore platform with multiple gene panels of varying sizes, TEQUILA-seq consistently and substantially enriches transcript coverage while preserving transcript quantification. We profile full-length transcript isoforms of 468 actionable cancer genes across 40 representative breast cancer cell lines. We identify transcript isoforms enriched in specific subtypes and discover novel transcript isoforms in extensively studied cancer genes such as TP53. Among cancer genes, tumor suppressor genes (TSGs) are significantly enriched for aberrant transcript isoforms targeted for degradation via mRNA nonsense-mediated decay, revealing a common RNA-associated mechanism for TSG inactivation. TEQUILA-seq reduces the per-reaction cost of targeted capture by 2-3 orders of magnitude, as compared to a standard commercial solution. TEQUILA-seq can be broadly used for targeted sequencing of full-length transcripts in diverse biomedical research settings.
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Affiliation(s)
- Feng Wang
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Yang Xu
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Graduate Group in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Robert Wang
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Graduate Group in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Beatrice Zhang
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Noah Smith
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Amber Notaro
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Samantha Gaerlan
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Eric Kutschera
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kathryn E Kadash-Edmondson
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Yi Xing
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
| | - Lan Lin
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
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Janssen K, Duran-Romaña R, Bottu G, Guharoy M, Botzki A, Rousseau F, Schymkowitz J. SNPeffect 5.0: large-scale structural phenotyping of protein coding variants extracted from next-generation sequencing data using AlphaFold models. BMC Bioinformatics 2023; 24:287. [PMID: 37464277 DOI: 10.1186/s12859-023-05407-9] [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: 07/05/2022] [Accepted: 07/10/2023] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND Next-generation sequencing technologies yield large numbers of genetic alterations, of which a subset are missense variants that alter an amino acid in the protein product. These variants can have a potentially destabilizing effect leading to an increased risk of misfolding and aggregation. Multiple software tools exist to predict the effect of single-nucleotide variants on proteins, however, a pipeline integrating these tools while starting from an NGS data output list of variants is lacking. RESULTS The previous version SNPeffect 4.0 (De Baets in Nucleic Acids Res 40(D1):D935-D939, 2011) provided an online database containing pre-calculated variant effects and low-throughput custom variant analysis. Here, we built an automated and parallelized pipeline that analyzes the impact of missense variants on the aggregation propensity and structural stability of proteins starting from the Variant Call Format as input. The pipeline incorporates the AlphaFold Protein Structure Database to achieve high coverage for structural stability analyses using the FoldX force field. The effect on aggregation-propensity is analyzed using the established predictors TANGO and WALTZ. The pipeline focuses solely on the human proteome and can be used to analyze proteome stability/damage in a given sample based on sequencing results. CONCLUSION We provide a bioinformatics pipeline that allows structural phenotyping from sequencing data using established stability and aggregation predictors including FoldX, TANGO, and WALTZ; and structural proteome coverage provided by the AlphaFold database. The pipeline and installation guide are freely available for academic users on https://github.com/vibbits/snpeffect and requires a computer cluster.
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Affiliation(s)
- Kobe Janssen
- Switch Laboratory, VIB-KU Leuven Center for Brain and Disease Research, Herestraat 49, 3000, Leuven, Belgium
- Switch Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Ramon Duran-Romaña
- Switch Laboratory, VIB-KU Leuven Center for Brain and Disease Research, Herestraat 49, 3000, Leuven, Belgium
- Switch Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Guy Bottu
- VIB Bioinformatics Core, VIB, Rijvisschestraat 120, 9052, Ghent, Belgium
| | - Mainak Guharoy
- VIB Bioinformatics Core, VIB, Rijvisschestraat 120, 9052, Ghent, Belgium
| | - Alexander Botzki
- VIB Bioinformatics Core, VIB, Rijvisschestraat 120, 9052, Ghent, Belgium
| | - Frederic Rousseau
- Switch Laboratory, VIB-KU Leuven Center for Brain and Disease Research, Herestraat 49, 3000, Leuven, Belgium.
- Switch Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
| | - Joost Schymkowitz
- Switch Laboratory, VIB-KU Leuven Center for Brain and Disease Research, Herestraat 49, 3000, Leuven, Belgium.
- Switch Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
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Doe-Tetteh SA, Camp SY, Reales D, Crowdis J, Noronha AM, Wolff B, Alano T, Galle J, Duygu Selcuklu S, Viale A, Socci ND, Liu YL, Tew WP, Aghajanian C, Ladanyi M, He MX, AlDubayan SH, Mazor RD, Shpilberg O, Hershkovitz-Rokah O, Riancho JA, Hernandez JL, Gonzalez-Vela MC, Buthorn JJ, Wilson M, Webber AE, Yabe M, Petrova-Drus K, Rosenblum M, Durham BH, Abdel-Wahab O, Berger MF, Donoghue MT, Kung AL, Bender JG, Shukla NN, Funt SA, Dogan A, Soslow RA, Al-Ahmadie H, Feldman DR, Van Allen EM, Diamond EL, Solit DB. Overcoming Barriers to Tumor Genomic Profiling through Direct-to-Patient Outreach. Clin Cancer Res 2023; 29:2445-2455. [PMID: 36862133 PMCID: PMC10330105 DOI: 10.1158/1078-0432.ccr-22-3247] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 01/05/2023] [Accepted: 02/28/2023] [Indexed: 03/03/2023]
Abstract
PURPOSE To overcome barriers to genomic testing for patients with rare cancers, we initiated a program to offer free clinical tumor genomic testing worldwide to patients with select rare cancer subtypes. EXPERIMENTAL DESIGN Patients were recruited through social media outreach and engagement with disease-specific advocacy groups, with a focus on patients with histiocytosis, germ cell tumors (GCT), and pediatric cancers. Tumors were analyzed using the MSK-IMPACT next-generation sequencing assay with the return of results to patients and their local physicians. Whole-exome recapture was performed for female patients with GCTs to define the genomic landscape of this rare cancer subtype. RESULTS A total of 333 patients were enrolled, and tumor tissue was received for 288 (86.4%), with 250 (86.8%) having tumor DNA of sufficient quality for MSK-IMPACT testing. Eighteen patients with histiocytosis have received genomically guided therapy to date, of whom 17 (94%) have had clinical benefit with a mean treatment duration of 21.7 months (range, 6-40+). Whole-exome sequencing of ovarian GCTs identified a subset with haploid genotypes, a phenotype rarely observed in other cancer types. Actionable genomic alterations were rare in ovarian GCT (28%); however, 2 patients with ovarian GCTs with squamous transformation had high tumor mutational burden, one of whom had a complete response to pembrolizumab. CONCLUSIONS Direct-to-patient outreach can facilitate the assembly of cohorts of rare cancers of sufficient size to define their genomic landscape. By profiling tumors in a clinical laboratory, results could be reported to patients and their local physicians to guide treatment. See related commentary by Desai and Subbiah, p. 2339.
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Affiliation(s)
- Seyram A. Doe-Tetteh
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Sabrina Y. Camp
- Department of Medical Oncology, Dana Farber Cancer Institute
- Cancer Program, Broad Institute of MIT and Harvard
| | - Dalicia Reales
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Jett Crowdis
- Department of Medical Oncology, Dana Farber Cancer Institute
- Cancer Program, Broad Institute of MIT and Harvard
| | - Anne Marie Noronha
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Bernadette Wolff
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
- Department of Nursing, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Tina Alano
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
- Department of Nursing, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Jesse Galle
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - S. Duygu Selcuklu
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Agnes Viale
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Nicholas D. Socci
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
- Bioinformatics Core, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Ying L. Liu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - William P. Tew
- Department of Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Carol Aghajanian
- Department of Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
- Joan & Sanford I. Weill Medical College of Cornell University, New York, NY, USA
| | - Marc Ladanyi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Meng Xiao He
- Department of Medical Oncology, Dana Farber Cancer Institute
- Cancer Program, Broad Institute of MIT and Harvard
- Harvard Graduate Program in Biophysics, Boston, MA, 02115, USA
| | - Saud H. AlDubayan
- Department of Medical Oncology, Dana Farber Cancer Institute
- Cancer Program, Broad Institute of MIT and Harvard
- College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Roei David Mazor
- Clinic of Histiocytic Neoplasms, Institute of Hematology, Assuta Medical Center, Tel Aviv, Israel
| | - Ofer Shpilberg
- Clinic of Histiocytic Neoplasms, Institute of Hematology, Assuta Medical Center, Tel Aviv, Israel
- Adelson School of Medicine, Ariel University, Ariel, Israel
| | - Oshrat Hershkovitz-Rokah
- Department of Molecular Biology, Faculty of Natural Sciences, Ariel University, Ariel, Israel
- Translational Research Lab, Assuta Medical Center, Tel-Aviv, Israel
| | - Jose A. Riancho
- Department of Internal Medicine, Hospital U.M. Valdecilla, University of Cantabria, IDIVAL, Santander, Spain
| | - Jose L. Hernandez
- Department of Internal Medicine, Hospital U.M. Valdecilla, University of Cantabria, IDIVAL, Santander, Spain
| | - M. Carmen Gonzalez-Vela
- Department of Pathology, Hospital U.M. Valdecilla, University of Cantabria, IDIVAL, Santander, Spain
| | - Justin J. Buthorn
- Department of Neurology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Manda Wilson
- Bioinformatics Core, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Amy E. Webber
- Bioinformatics Core, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Mariko Yabe
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Kseniya Petrova-Drus
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Marc Rosenblum
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Benjamin H. Durham
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Omar Abdel-Wahab
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael F. Berger
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Mark T.A. Donoghue
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Andrew L. Kung
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Julia Glade Bender
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Neerav N. Shukla
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Samuel A. Funt
- Department of Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
- Joan & Sanford I. Weill Medical College of Cornell University, New York, NY, USA
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Robert A. Soslow
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Hikmat Al-Ahmadie
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Darren R. Feldman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
- Joan & Sanford I. Weill Medical College of Cornell University, New York, NY, USA
| | - Eliezer M. Van Allen
- Department of Medical Oncology, Dana Farber Cancer Institute
- Cancer Program, Broad Institute of MIT and Harvard
| | - Eli L. Diamond
- Department of Neurology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
- Joan & Sanford I. Weill Medical College of Cornell University, New York, NY, USA
| | - David B. Solit
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, NY, New York, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, NY, New York, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Joan & Sanford I. Weill Medical College of Cornell University, New York, NY, USA
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Zhang M, Xu Y, Zhang Y, Lou G. E2F8 knockdown suppresses cell proliferation and induces cell cycle arrest via Wnt/β-Catenin pathway in ovarian cancer. CHINESE J PHYSIOL 2023; 66:266-275. [PMID: 37635486 DOI: 10.4103/cjop.cjop-d-22-00142] [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] [Indexed: 08/29/2023] Open
Abstract
Ovarian cancer is one of the leading causes of death in female reproductive system cancers. However, the pathogenesis of ovarian cancer remains elusive. Our aim is to investigate the potential targets for ovarian cancer. Two microarray datasets were obtained from the Gene Expression Omnibus public database. Using R package limma, the differentially expressed genes (DEGs) were identified from the datasets. There were 95 overlapping DEGs in two microarray datasets. GO, KEGG pathway analysis, and protein-protein interaction (PPI) network analysis were carried out based on the DEGs. Wnt signaling pathway and cell cycle were enriched in the KEGG pathway analysis. Moreover, the top 10 hub genes with the most nodes were determined by PPI network analysis. E2F8, one of hub genes was positively linked to a bad outcome in ovarian cancer patients. Furthermore, E2F8 knockdown suppressed cell proliferation and induced cell cycle arrest in ovarian cancer. In addition, we found that silencing E2F8 inhibited the Wnt/β-catenin signaling pathway. In ovarian cancer cells with E2F8 knockdown, overexpressing β-catenin restored both the suppressed capacity of cell proliferation and cell cycle progression. Therefore, our results revealed that E2F8 had an involvement in the development of ovarian cancer which might act as a therapeutic target.
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Affiliation(s)
- Meiyin Zhang
- Department of Gynecology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Ye Xu
- Department of Gynecology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Yongjian Zhang
- Department of Gynecology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Ge Lou
- Department of Gynecology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
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Marchetti P, Curigliano G, Calabria S, Piccinni C, Botticelli A, Martini N. Do more targets allow more cancer treatments, or not? Eur J Cancer 2023; 187:99-104. [PMID: 37137204 DOI: 10.1016/j.ejca.2023.03.041] [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: 03/06/2023] [Revised: 03/31/2023] [Accepted: 03/31/2023] [Indexed: 05/05/2023]
Abstract
The three current oncology models (histological, agnostic and mutational) mainly differ in clinical, technological and organisational aspects, leading to different regulatory procedures and implications in antineoplastic therapy access by patients. Within the histological and agnostic models, Regulatory Agencies authorise target therapies and define their price, reimbursement, prescription and access based on results from clinical trials including patients affected by the same tumour (histological) or subjects with specific genetic mutations regardless of the tumour site or the histology (agnostic). The mutational model has been developed to identify specific actionable molecular alterations found by next-generation sequencing test-based large platforms on solid and liquid biopsies. Nevertheless, due to the highly uncertain efficacy and possible toxicity of drugs tested within this model, regulatory procedures based on histological or agnostic oncology cannot be followed. Multidisciplinary skills are required (e.g. the molecular tumour board's (MTB) representatives) to identify the best association between the genomic profile and the drug planned to be used, but quality requirements, practices and procedures of these discussions still need to be standardised. Real-world evidence from clinical practice (i.e. genomic findings, clinical data and MTBs' choices) lacks, therefore, it is urgently needed as opposed to limited findings from clinical trials. A potential solution for an appropriate access to the therapy chosen by the mutational model can be the indication-value-based sub iudice procedure of authorisation. The access to therapies suggested by extensive molecular profiling could be easily implementable within the Italian national health system, thanks to the existing regulatory procedures, i.e. the managed-entry agreements and the antineoplastic drug monitoring registries, alongside those granted by conventional studies (phase I, II, III, IV) conducted according to the histological and agnostic models.
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Affiliation(s)
| | - Giuseppe Curigliano
- European Institute of Oncology IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milano, Milan, Italy
| | - Silvia Calabria
- Fondazione ReS (Ricerca e Salute) - Research and Health Foundation, Rome, Italy.
| | - Carlo Piccinni
- Fondazione ReS (Ricerca e Salute) - Research and Health Foundation, Rome, Italy
| | - Andrea Botticelli
- Department of Radiological, Oncological and Pathological Sciences, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Nello Martini
- Fondazione ReS (Ricerca e Salute) - Research and Health Foundation, Rome, Italy
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Yap TA, Stadler ZK, Stout LA, Schneider BP. Aligning Germline Cancer Predisposition With Tumor-Based Next-Generation Sequencing for Modern Oncology Diagnosis, Interception, and Therapeutic Development. Am Soc Clin Oncol Educ Book 2023; 43:e390738. [PMID: 37390373 DOI: 10.1200/edbk_390738] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/02/2023]
Abstract
In the era of precision medicine, genomic interrogation for identification of both germline and somatic genetic alterations has become increasingly important. While such germline testing was usually undertaken via a phenotype-driven single-gene approach, with the advent of next-generation sequencing (NGS) technologies, the widespread utilization of multigene panels, often agnostic of cancer phenotype, has become a commonplace in many different cancer types. At the same time, somatic tumor testing in oncology performed for the purpose of guiding therapeutic decisions for targeted therapies has also rapidly expanded, recently starting to incorporate not just patients with recurrent or metastatic cancer but even patients with early-stage disease. An integrated approach may be the best approach for the optimal management of patients with different cancers. The lack of complete congruence between germline and somatic NGS tests does not minimize the power or importance of either, but highlights the need to understand their limitations so as not to overlook an important finding or omission. NGS tests built to more uniformly and comprehensively evaluate both the germline and tumor simultaneously are urgently required and are in development. In this article, we discuss approaches to somatic and germline analyses in patients with cancer and the knowledge gained from integration of tumor-normal sequencing. We also detail strategies for the incorporation of genomic analysis into oncology care delivery models and the important emergence of poly(ADP-ribose) polymerase and other DNA Damage Response inhibitors in the clinic for patients with cancer with germline and somatic BRCA1 and BRCA2 mutations.
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Affiliation(s)
- Timothy A Yap
- University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Leigh Anne Stout
- Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN
| | - Bryan P Schneider
- Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN
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Lengel HB, Mastrogiacomo B, Connolly JG, Tan KS, Liu Y, Fick CN, Dunne EG, He D, Lankadasari MB, Satravada BA, Sun Y, Kundra R, Fong C, Smith S, Riely GJ, Rudin CM, Gomez DR, Solit DB, Berger MF, Li BT, Mayo MW, Matei I, Lyden DC, Adusumilli PS, Schultz N, Sanchez-Vega F, Jones DR. Genomic mapping of metastatic organotropism in lung adenocarcinoma. Cancer Cell 2023; 41:970-985.e3. [PMID: 37084736 PMCID: PMC10391526 DOI: 10.1016/j.ccell.2023.03.018] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 02/02/2023] [Accepted: 03/22/2023] [Indexed: 04/23/2023]
Abstract
We analyzed 2,532 lung adenocarcinomas (LUAD) to identify the clinicopathological and genomic features associated with metastasis, metastatic burden, organotropism, and metastasis-free survival. Patients who develop metastasis are younger and male, with primary tumors enriched in micropapillary or solid histological subtypes and with a higher mutational burden, chromosomal instability, and fraction of genome doublings. Inactivation of TP53, SMARCA4, and CDKN2A are correlated with a site-specific shorter time to metastasis. The APOBEC mutational signature is more prevalent among metastases, particularly liver lesions. Analyses of matched specimens show that oncogenic and actionable alterations are frequently shared between primary tumors and metastases, whereas copy number alterations of unknown significance are more often private to metastases. Only 4% of metastases harbor therapeutically actionable alterations undetected in their matched primaries. Key clinicopathological and genomic alterations in our cohort were externally validated. In summary, our analysis highlights the complexity of clinicopathological features and tumor genomics in LUAD organotropism.
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Affiliation(s)
- Harry B Lengel
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Brooke Mastrogiacomo
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - James G Connolly
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kay See Tan
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yuan Liu
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Cameron N Fick
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elizabeth G Dunne
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Di He
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Manendra B Lankadasari
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Baby Anusha Satravada
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yichao Sun
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ritika Kundra
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Chris Fong
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Shaleigh Smith
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gregory J Riely
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Charles M Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Daniel R Gomez
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David B Solit
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael F Berger
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bob T Li
- Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marty W Mayo
- Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, VA, USA
| | - Irina Matei
- Department of Pediatrics, Meyer Cancer Center, Weill Cornell Medicine of Cornell University, New York, NY, USA
| | - David C Lyden
- Department of Pediatrics, Meyer Cancer Center, Weill Cornell Medicine of Cornell University, New York, NY, USA
| | - Prasad S Adusumilli
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nikolaus Schultz
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Francisco Sanchez-Vega
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - David R Jones
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Al-Sukhun S, Masannat Y, Wegman-Ostrosky T, Shrikhande SV, Manirakiza A, Fadelu T, Rebbeck TR. Germline Testing Around the Globe: Challenges in Different Practice Settings. Am Soc Clin Oncol Educ Book 2023; 43:e390522. [PMID: 37220318 DOI: 10.1200/edbk_390522] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Cancer is an increasing global public health burden. Lately, more emphasis has emerged on the importance of heredity in cancer, mostly driven by the introduction of germline genetic variants-directed therapeutics. It is true that 40% of cancer risk is attributed to modifiable environmental and lifestyle factors; still, 16% of cancers could be heritable, accounting for 2.9 of the 18.1 million cases diagnosed worldwide. At least two third of those will be diagnosed in countries with limited resources-low- and middle-income countries, especially where high rates of consanguine marriage and early age at diagnosis are already prevalent. Both are hallmarks of hereditary cancer. This creates a new opportunity for prevention, early detection, and recently therapeutic intervention. However, this opportunity is challenged by many obstacles along the path to addressing germline testing in patients with cancer in the clinic worldwide. Global collaboration and expertise exchange are important to bridge the knowledge gap and facilitate practical implementation. Adapting existing guidelines and prioritization according to local resources are essential to address the unique needs and overcome the unique barriers of each society.
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Affiliation(s)
| | - Yazan Masannat
- Aberdeen Royal Infirmary, Scotland, United Kingdom
- The University of Aberdeen, Scotland, United Kingdom
| | | | | | | | - Temidayo Fadelu
- Division of Population Sciences, Dana Farber Cancer Institute, Boston, MA
| | - Timothy R Rebbeck
- Division of Population Sciences, Dana Farber Cancer Institute, Boston, MA
- Harvard TH Chan School of Public Health, Boston, MA
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Yin JY, Lu XT, Hou ML, Cao T, Tian Z. Sirtuin1-p53: a potential axis for cancer therapy. Biochem Pharmacol 2023; 212:115543. [PMID: 37037265 DOI: 10.1016/j.bcp.2023.115543] [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: 11/26/2022] [Revised: 03/31/2023] [Accepted: 04/03/2023] [Indexed: 04/12/2023]
Abstract
Sirtuin1 (SIRT1) is a conserved nicotinamide adenine dinucleotide (NAD+)-dependent histone deacetylase that plays key roles in a range of cellular events, including the maintenance of genome stability, gene regulation, cell proliferation, and apoptosis. P53 is one of the most studied tumor suppressors and the first identified non-histone target of SIRT1. SIRT1 deacetylates p53 in a NAD+-dependent manner and inhibits its transcriptional activity, thus exerting action on a series of pathways related to tissue homeostasis and various pathological states. The SIRT1-p53 axis is thought to play a central role in tumorigenesis. Although SIRT1 was initially identified as a tumor promoter, evidence now indicates that SIRT1 may also act as a tumor suppressor. This seemingly contradictory evidence indicates that the functionality of SIRT1 may be dictated by different cell types and intracellular localization patterns. In this review, we summarize recent evidence relating to the interactions between SIRT1 and p53 and discuss the relative roles of these two molecules with regards to cancer-associated cellular events. We also provide an overview of current knowledge of SIRT1-p53 signaling in tumorigenesis. Given the vital role of the SIRT1-p53 pathway, targeting this axis may provide promising strategies for the treatment of cancer.
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Affiliation(s)
- Jia-Yi Yin
- College of Pharmaceutical Sciences, Southwest University, Chongqing, China
| | - Xin-Tong Lu
- College of Pharmaceutical Sciences, Southwest University, Chongqing, China
| | - Meng-Ling Hou
- College of Pharmaceutical Sciences, Southwest University, Chongqing, China
| | - Ting Cao
- College of Pharmaceutical Sciences, Southwest University, Chongqing, China
| | - Zhen Tian
- College of Pharmaceutical Sciences, Southwest University, Chongqing, China.
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Hoffman TL, Kershberg H, Goff J, Holmquist KJ, Haque R, Alvarado M. Next-generation universal hereditary cancer screening: implementation of an automated hereditary cancer screening program for patients with advanced cancer undergoing tumor sequencing in a large HMO. Fam Cancer 2023; 22:225-235. [PMID: 36261688 PMCID: PMC10020326 DOI: 10.1007/s10689-022-00317-w] [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: 01/14/2022] [Accepted: 09/07/2022] [Indexed: 11/28/2022]
Abstract
Variants in hereditary cancer risk genes are frequently identified following tumor-based DNA sequencing and represent an opportunity to diagnose hereditary cancer. We implemented an automated hereditary cancer screening program in a large HMO for all patients who underwent tumor-based DNA sequencing to identify patients with hereditary cancer and determine if this approach augmented existing genetic counseling approaches driven by personal/family history criteria. Regular automated searches of a centralized tumor DNA variant database were performed for ATM, BRCA1, BRCA2, MLH1, MSH2, MSH6, PALB2, and/or PMS2 variants, and germline hereditary cancer gene panel testing was offered to patients with tumor variants who had never undergone germline testing. Patients completing germline testing due to their tumor DNA test results were considered part of the tumor DNA safety net. Patients previously completing germline testing via traditional genetic counseling and tumor DNA safety net were compared for demographics, tumor type, presence of germline pathogenic/likely pathogenic (P/LP) variant, and whether NCCN criteria were met for hereditary cancer genetic testing. Germline P/LP variants were common in both groups. Patients who received germline testing through traditional genetic counseling were more likely to have cardinal hereditary tumors than the tumor DNA safety net group. Patients identified with hereditary cancer through traditional genetic counseling were more likely to meet NCCN personal/family history criteria for germline testing than the tumor DNA safety net group (99% versus 34%). A universal tumor DNA safety net screen is an important diagnostic strategy which augments traditional genetic counseling approaches based on personal/family history.
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Affiliation(s)
- Trevor L Hoffman
- Department of Regional Genetics, Southern California Permanente Medical Group, Pasadena, CA, USA.
| | - Hilary Kershberg
- Department of Regional Genetics, Southern California Permanente Medical Group, Pasadena, CA, USA
| | - John Goff
- Department of Regional Genetics, Southern California Permanente Medical Group, Pasadena, CA, USA
| | - Kimberly J Holmquist
- Department of Research & Evaluation, Southern California Permanente Medical Group, Pasadena, CA, USA
| | - Reina Haque
- Department of Research & Evaluation, Southern California Permanente Medical Group, Pasadena, CA, USA
- Dept. of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, 91101, Pasadena, CA, USA
| | - Monica Alvarado
- Department of Regional Genetics, Southern California Permanente Medical Group, Pasadena, CA, USA
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Yao X, Zhou H, Duan C, Wu X, Li B, Liu H, Zhang Y. Comprehensive characteristics of pathological subtypes in testicular germ cell tumor: Gene expression, mutation and alternative splicing. Front Immunol 2023; 13:1096494. [PMID: 36713456 PMCID: PMC9883017 DOI: 10.3389/fimmu.2022.1096494] [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: 11/12/2022] [Accepted: 12/23/2022] [Indexed: 01/15/2023] Open
Abstract
Background Testicular germ cell tumor (TGCT) is the most common tumor in young men, but molecular signatures, especially the alternative splicing (AS) between its subtypes have not yet been explored. Methods To investigate the differences between TGCT subtypes, we comprehensively analyzed the data of gene expression, alternative splicing (AS), and somatic mutation in TGCT patients from the TCGA database. The gene ontology (GO) enrichment analyses were used to explore the function of differentially expressed genes and spliced genes respectively, and Spearman correlation analysis was performed to explore the correlation between differential genes and AS events. In addition, the possible patterns in which AS regulates gene expression were elaborated by the ensemble database transcript atlas. And, we identified important transcription factors that regulate gene expression and AS and functionally validated them in TGCT cell lines. Results We found significant differences between expression and AS in embryonal carcinoma and seminoma, while mixed cell tumors were in between. GO enrichment analyses revealed that both differentially expressed and spliced genes were enriched in transcriptional regulatory pathways, and obvious correlation between expression and AS events was determined. By analyzing the transcript map and the sites where splicing occurs, we have demonstrated that AS regulates gene expression in a variety of ways. We further identified two pivot AS-related molecules (SOX2 and HDAC9) involved in AS regulation, which were validated in embryonal carcinoma and seminoma cell lines. Differences in somatic mutations between subtypes are also of concern, with our results suggesting that mutations in some genes (B3GNT8, CAPN7, FAT4, GRK1, TACC2, and TRAM1L1) occur only in embryonal carcinoma, while mutations in KIT, KARS, and NRAS are observed only in seminoma. Conclusions In conclusion, our analysis revealed the differences in gene expression, AS and somatic mutation among TGCT subtypes, providing a molecular basis for clinical diagnosis and precise therapy of TGCT patients.
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Affiliation(s)
- Xiangyang Yao
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Hui Zhou
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chen Duan
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoliang Wu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bo Li
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Haoran Liu
- Stanford Bio-X, Stanford University, Stanford, CA, United States
| | - Yangjun Zhang
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China,Cancer Precision Diagnosis and Treatment and Translational Medicine Hubei Engineering Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China,Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China,*Correspondence: Yangjun Zhang,
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48
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Rift CV, Melchior LC, Kovacevic B, Klausen P, Toxværd A, Grossjohann H, Karstensen JG, Brink L, Hassan H, Kalaitzakis E, Storkholm J, Scheie D, Hansen CP, Lund EL, Vilmann P, Hasselby JP. Targeted next-generation sequencing of EUS-guided through-the-needle-biopsy sampling from pancreatic cystic lesions. Gastrointest Endosc 2023; 97:50-58.e4. [PMID: 35964683 DOI: 10.1016/j.gie.2022.08.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 07/27/2022] [Accepted: 08/06/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND AND AIMS Recent advances have introduced molecular subtyping of pancreatic cystic lesions (PCLs) as a possible amendment to the diagnostic algorithm. The study evaluated the feasibility and diagnostic accuracy of molecular analysis and subtyping of PCLs using the recently introduced EUS-guided through-the-needle-biopsy (TTNB) sampling. METHODS We prospectively included 101 patients in the study who presented with PCLs >15 mm in the largest cross-section. EUS-guided TTNB samples were obtained by a micro-biopsy forceps introduced through a 19-gauge needle. The TTNB samples were analyzed by next-generation sequencing (NGS) for point mutations in tumor suppressors and oncogenes using a 51-gene customized hotspot panel. Sensitivity and specificity were calculated with the histologic diagnosis as reference. RESULTS After initial microscopic evaluation of the samples, 91 patients had residual TTNB samples available for NGS. Of these, 49 harbored mutations, most frequently in KRAS and GNAS, reflecting an excess frequency of intraductal papillary mucinous neoplasms (IPMNs) in the study population. A sensitivity and specificity of 83.7% (95% confidence interval [CI], 70.3-92.7) and 81.8% (95% CI, 48.2-97.7), respectively, were demonstrated for the diagnosis of a mucinous cyst and 87.2% (95% CI, 74.2-95.2) and 84.6% (95% CI, 54.5-98.1) for the diagnosis of an IPMN. CONCLUSIONS Thus, molecular analysis of TTNB samples by NGS has high sensitivity and specificity for diagnosing mucinous cysts and IPMNs. Although the procedure comes with a risk of adverse events of 9.9%, TTNB samples are a robust alternative to cyst fluid for a combined histologic and molecular diagnosis of PCLs. (Clinical trial registration number: NCT03578445.).
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Affiliation(s)
- Charlotte Vestrup Rift
- Department of Pathology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Linea Cecilie Melchior
- Department of Pathology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Bojan Kovacevic
- Gastroenterology Unit, Copenhagen University Hospital Herlev and Gentofte, Herlev, Denmark
| | - Pia Klausen
- Department of Pathology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark; Gastroenterology Unit, Copenhagen University Hospital Herlev and Gentofte, Herlev, Denmark
| | - Anders Toxværd
- Department of Pathology, Copenhagen University Hospital Herlev and Gentofte, Herlev, Denmark
| | - Hanne Grossjohann
- Department of Surgery, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - John Gásdal Karstensen
- Pancreatitis Centre East, Gastroenterology Unit, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lene Brink
- Gastroenterology Unit, Copenhagen University Hospital Herlev and Gentofte, Herlev, Denmark
| | - Hazem Hassan
- Gastroenterology Unit, Copenhagen University Hospital Herlev and Gentofte, Herlev, Denmark
| | - Evangelos Kalaitzakis
- Gastroenterology Unit, Copenhagen University Hospital Herlev and Gentofte, Herlev, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Jan Storkholm
- Department of Surgery, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - David Scheie
- Department of Pathology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Carsten Palnæs Hansen
- Department of Surgery, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Eva Løbner Lund
- Department of Pathology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Peter Vilmann
- Gastroenterology Unit, Copenhagen University Hospital Herlev and Gentofte, Herlev, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Jane Preuss Hasselby
- Department of Pathology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Tutty MA, Holmes S, Prina-Mello A. Cancer Cell Culture: The Basics and Two-Dimensional Cultures. Methods Mol Biol 2023; 2645:3-40. [PMID: 37202610 DOI: 10.1007/978-1-0716-3056-3_1] [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] [Indexed: 05/20/2023]
Abstract
Despite significant advances in investigative and therapeutic methodologies for cancer, 2D cell culture remains an essential and evolving competency in this fast-paced industry. From basic monolayer cultures and functional assays to more recent and ever-advancing cell-based cancer interventions, 2D cell culture plays a crucial role in cancer diagnosis, prognosis, and treatment. Research and development in this field call for a great deal of optimization, while the heterogenous nature of cancer itself demands personalized precision for its intervention. In this way, 2D cell culture is ideal, providing a highly adaptive and responsive platform, where skills can be honed and techniques modified. Furthermore, it is arguably the most efficient, economical, and sustainable methodology available to researchers and clinicians alike.In this chapter, we discuss the history of cell culture and the varying types of cell and cell lines used today, the techniques used to characterize and authenticate them, the applications of 2D cell culture in cancer diagnosis and prognosis, and more recent developments in the area of cell-based cancer interventions and vaccines.
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Affiliation(s)
- Melissa Anne Tutty
- Laboratory of Biological Characterization of Advanced Materials (LBCAM), Trinity Translational Medicine Institute, Trinity College, Dublin, Ireland
| | - Sarah Holmes
- Laboratory of Biological Characterization of Advanced Materials (LBCAM), Trinity Translational Medicine Institute, Trinity College, Dublin, Ireland.
| | - Adriele Prina-Mello
- Laboratory of Biological Characterization of Advanced Materials (LBCAM), Trinity Translational Medicine Institute, Trinity College, Dublin, Ireland
- Nanomedicine and Molecular Imaging Group, Trinity Translational Medicine Institute (TTMI), School of Medicine, Trinity College Dublin, Dublin, Ireland
- Trinity St. James's Cancer Institute, St. James's Hospital, Trinity College Dublin, Dublin, Ireland
- Advanced Materials and Bioengineering Research (AMBER) Centre, CRANN Institute, Trinity College Dublin, Dublin, Ireland
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50
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Sun Y, Sha Y, Cui G, Meng F, Zhong Z. Lysosomal-mediated drug release and activation for cancer therapy and immunotherapy. Adv Drug Deliv Rev 2023; 192:114624. [PMID: 36435229 DOI: 10.1016/j.addr.2022.114624] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 11/10/2022] [Accepted: 11/19/2022] [Indexed: 11/27/2022]
Abstract
The development of carrier systems that are able to transport and release therapeutics to target cells is an emergent strategy to treat cancer; however, they following endocytosis are usually trapped in the endo/lysosomal compartments. The efficacy of drug conjugates and nanotherapeutics relies critically on their intracellular drug release ability, for which advanced systems responding to the unique lysosomal environment such as acidic pH and abundant enzymes (e.g. cathepsin B, sulfatase and β-glucuronidase) or equipped with photochemical internalization property have been energetically pursued. In this review, we highlight the recent designs of smart systems that promote efficient lysosomal release and/or escape of anticancer agents including chemotherapeutics (e.g. doxorubicin, platinum, chloroquine and hydrochloroquine) and biotherapeutics (e.g. proteins, siRNA, miRNA, mRNA and pDNA) to cancer cells or immunotherapeutic agents (e.g. antigens, mRNA and immunoadjuvants) to antigen-presenting cells (APCs), thereby boosting cancer therapy and immunotherapy. Lysosomal-mediated drug release presents an appealing approach to develop innovative cancer therapeutics and immunotherapeutics.
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Affiliation(s)
- Yinping Sun
- Biomedical Polymers Laboratory, College of Chemistry, Chemical Engineering and Materials Science, and State Key Laboratory of Radiation Medicine and Protection, Soochow University, Soochow University, Suzhou 215123, PR China
| | - Yongjie Sha
- Biomedical Polymers Laboratory, College of Chemistry, Chemical Engineering and Materials Science, and State Key Laboratory of Radiation Medicine and Protection, Soochow University, Soochow University, Suzhou 215123, PR China
| | - Guanhong Cui
- Biomedical Polymers Laboratory, College of Chemistry, Chemical Engineering and Materials Science, and State Key Laboratory of Radiation Medicine and Protection, Soochow University, Soochow University, Suzhou 215123, PR China
| | - Fenghua Meng
- Biomedical Polymers Laboratory, College of Chemistry, Chemical Engineering and Materials Science, and State Key Laboratory of Radiation Medicine and Protection, Soochow University, Soochow University, Suzhou 215123, PR China.
| | - Zhiyuan Zhong
- Biomedical Polymers Laboratory, College of Chemistry, Chemical Engineering and Materials Science, and State Key Laboratory of Radiation Medicine and Protection, Soochow University, Soochow University, Suzhou 215123, PR China; College of Pharmaceutical Sciences, Soochow University, Suzhou 215123, PR China.
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