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Thomas CE, Takashima Y, Wesselink E, Ugai T, Steinfelder RS, Buchanan DD, Qu C, Hsu L, Dias Costa A, Gallinger S, Grant RC, Huyghe JR, Thomas SS, Ogino S, Phipps AI, Nowak JA, Peters U. Association between somatic microsatellite instability, hypermutation status, and specific T cell subsets in colorectal cancer tumors. Front Immunol 2024; 15:1505896. [PMID: 39763680 PMCID: PMC11701007 DOI: 10.3389/fimmu.2024.1505896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Accepted: 12/03/2024] [Indexed: 01/11/2025] Open
Abstract
Background Microsatellite instability-high (MSI-high) tumors comprise ~15% of sporadic colorectal cancers (CRC) and are associated with elevated T cell infiltration. However, the universality of this response across T cell subtypes with distinct functions is unknown. Methods Including 1,236 CRC tumors from three observational studies, we conducted in-situ T cell profiling using a customized 9-plex (CD3, CD4, CD8, CD45RA, CD45RO, FOXP3, KRT, MKI67, and DAPI) multispectral immunofluorescence assay. MSI status was assessed through polymerase chain reaction or immunohistochemical assays. We used multivariable ordinal logistic regression to estimate odds ratios (OR per increasing quantile) and 95% confidence intervals (CIs) for the association of MSI status with quantiles of T cell densities in either tumor epithelial or stromal tissue areas. Results Compared to microsatellite instability low or microsatellite stable (MSI-low/MSS) tumors, MSI-high status was associated with higher density for the majority of immune subsets (twelve out of eighteen) in both epithelial and stromal tissue areas. The strongest associations were for CD3+CD8+ T cells in epithelial areas [OR (95% CI) for naive, memory, and regulatory subsets = 3.49 (2.57, 4.75); 2.82 (2.10, 3.78); 3.04 (2.24, 4.13), respectively]. Conversely, stromal area CD3+CD4+ memory T cells were inversely associated [OR (95% CI) = 0.68 (0.51, 0.91)]. Discussion MSI-high status was strongly associated with higher densities of most T cell subsets in both epithelial and stromal tissue areas. Our investigation supports efforts to identify patients who may be more likely to respond to current immunotherapy treatments. Significance This study helps us better understand how a clinically relevant tumor phenotype, microsatellite instability status, is related to different functioning T cell densities in colorectal tumors, which may impact future immunotherapy strategies.
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Affiliation(s)
- Claire E. Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Yasutoshi Takashima
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Evertine Wesselink
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
| | - Tomotaka Ugai
- Program in Molecular Pathological Epidemiology (MPE), Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Cancer Epidemiology Program, Dana-Farber/Harvard Cancer Center, Boston, MA, United States
| | - Robert S. Steinfelder
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Daniel D. Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, The University of Melbourne, Parkville, VIC, Australia
- Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
- Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - Andressa Dias Costa
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, United States
| | - Steven Gallinger
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Robert C. Grant
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Jeroen R. Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Sushma S. Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Shuji Ogino
- Program in Molecular Pathological Epidemiology (MPE), Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, United States
- Institute of Science Tokyo, Tokyo, Japan
| | - Amanda I. Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
- Department of Epidemiology, University of Washington, Seattle, WA, United States
| | - Jonathan A. Nowak
- Program in Molecular Pathological Epidemiology (MPE), Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
- Department of Epidemiology, University of Washington, Seattle, WA, United States
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Tuffaha MZ, Castellano D, Colome CS, Gutenkunst RN, Wahl LM. Non-hypermutator cancers access driver mutations through reversals in germline mutational bias. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.30.591900. [PMID: 38746331 PMCID: PMC11092619 DOI: 10.1101/2024.04.30.591900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Cancer is an evolutionary disease driven by mutations in asexually-reproducing somatic cells. In asexual microbes, bias reversals in the mutation spectrum can speed adaptation by increasing access to previously undersampled beneficial mutations. By analyzing tumors from 20 tissues, along with normal tissue and the germline, we demonstrate this effect in cancer. Non-hypermutated tumors reverse the germline mutation bias and have consistent spectra across tissues. These spectra changes carry the signature of hypoxia, and they facilitate positive selection in cancer genes. Hypermutated and non-hypermutated tumors thus acquire driver mutations differently: hypermutated tumors by higher mutation rates and non-hypermutated tumors by changing the mutation spectrum to reverse the germline mutation bias.
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Affiliation(s)
- Marwa Z. Tuffaha
- Department of Mathematics, Western University, London, Ontario N6A 5B7, Canada
| | - David Castellano
- Department of Molecular and Cellular Biology, University of Arizona, Tucson, Arizona 85721, USA
| | - Claudia Serrano Colome
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
| | - Ryan N. Gutenkunst
- Department of Molecular and Cellular Biology, University of Arizona, Tucson, Arizona 85721, USA
| | - Lindi M. Wahl
- Department of Mathematics, Western University, London, Ontario N6A 5B7, Canada
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3
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Cheng W, Kang K, Zhao A, Wu Y. Dual blockade immunotherapy targeting PD-1/PD-L1 and CTLA-4 in lung cancer. J Hematol Oncol 2024; 17:54. [PMID: 39068460 PMCID: PMC11283714 DOI: 10.1186/s13045-024-01581-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Accepted: 07/22/2024] [Indexed: 07/30/2024] Open
Abstract
Cancer immunotherapies, represented by immune checkpoint inhibitors (ICIs), have reshaped the treatment paradigm for both advanced non-small cell lung cancer and small cell lung cancer. Programmed death receptor-1/programmed death receptor ligand-1 (PD-1/PD-L1) and cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) are some of the most common and promising targets in ICIs. Compared to ICI monotherapy, which occasionally demonstrates treatment resistance and limited efficacy, the dual blockade immunotherapy targeting PD-1/PD-L1 and CTLA-4 operates at different stages of T cell activation with synergistically enhancing immune responses against cancer cells. This emerging dual therapy heralds a new direction for cancer immunotherapy, which, however, may increase the risk of drug-related adverse reactions while improving efficacy. Previous clinical trials have explored combination therapy strategy of anti-PD-1/PD-L1 and anti-CTLA-4 agents in lung cancer, yet its efficacy remains to be unclear with the inevitable incidence of immune-related adverse events. The recent advent of bispecific antibodies has made this sort of dual targeting more feasible, aiming to alleviate toxicity without compromising efficacy. Thus, this review highlights the role of dual blockade immunotherapy targeting PD-1/PD-L1 and CTLA-4 in treating lung cancer, and further elucidates its pre-clinical mechanisms and current advancements in clinical trials. Besides, we also provide novel insights into the potential combinations of dual blockade therapies with other strategies to optimize the future treatment mode for lung cancer.
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Affiliation(s)
- Weishi Cheng
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Kai Kang
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ailin Zhao
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Yijun Wu
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
- Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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Mencel J, Alves A, Angelis V, Gerlinger M, Starling N. State of the art: Targeting microsatellite instability in gastrointestinal cancers. Crit Rev Oncol Hematol 2024; 199:104387. [PMID: 38734279 DOI: 10.1016/j.critrevonc.2024.104387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 05/01/2024] [Accepted: 05/06/2024] [Indexed: 05/13/2024] Open
Abstract
DNA mismatch repair (MMR) deficiency and the associated microsatellite instability (MSI) phenotype has become a subject of enormous interest in recent years due to the demonstrated efficacy of immune checkpoint inhibitors (ICI) in advanced tumours. Assessing MSI in patients with gastrointestinal tract (GI) cancers is useful to exclude Lynch syndrome, but also to predict benefit for ICI. Following review of the relevant literature, this review article aims to outline the clinicopathologic spectrum of MSI and mismatch repair deficiency (dMMR) in the GI tract, hepatobiliary system and pancreas and discuss the therapeutic consideration in this disease.
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Affiliation(s)
- Justin Mencel
- Gastrointestinal and Lymphoma Unit, Royal Marsden NHS Foundation, London, United Kingdom
| | - Anneke Alves
- Gastrointestinal and Lymphoma Unit, Royal Marsden NHS Foundation, London, United Kingdom
| | - Vasileios Angelis
- Gastrointestinal and Lymphoma Unit, Royal Marsden NHS Foundation, London, United Kingdom
| | - Marco Gerlinger
- Gastrointestinal and Lymphoma Unit, Royal Marsden NHS Foundation, London, United Kingdom
| | - Naureen Starling
- Gastrointestinal and Lymphoma Unit, Royal Marsden NHS Foundation, London, United Kingdom.
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5
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Fick CN, Dunne EG, Sihag S, Molena D, Cytryn SL, Janjigian YY, Wu AJ, Worrell SG, Hofstetter WL, Jones DR, Gray KD. Immunotherapy for Resectable Locally Advanced Esophageal Carcinoma. Ann Thorac Surg 2024; 118:130-140. [PMID: 38408631 PMCID: PMC11194153 DOI: 10.1016/j.athoracsur.2024.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/16/2024] [Accepted: 02/05/2024] [Indexed: 02/28/2024]
Abstract
BACKGROUND The current standard of care for locally advanced esophageal and gastroesophageal junction (GEJ) cancers includes neoadjuvant chemoradiotherapy or perioperative chemotherapy with surgical resection; however, disease-free survival in these patients remains poor. Immune checkpoint inhibitors (ICIs) are approved for adjuvant treatment of locally advanced esophageal and GEJ cancers, but their benefit in the perioperative and neoadjuvant settings remains under investigation. METHODS We used the PubMed online database to conduct a literature search to identify studies that investigated immunotherapy for locally advanced esophageal and GEJ carcinoma. A review of ClinicalTrials.gov yielded a list of ongoing trials. RESULTS Adjuvant nivolumab for residual disease after neoadjuvant chemoradiotherapy and surgery is the only approved immunotherapy regimen for locally advanced esophageal cancer. Early-phase trials investigating the addition of neoadjuvant or perioperative ICIs to standard-of-care multimodality approaches have observed pathologic complete response rates as high as 60%. Response rates are highest for ICIs plus chemoradiotherapy for esophageal squamous cell carcinoma and dual checkpoint inhibition in mismatch repair-deficient adenocarcinomas. Safety profiles are acceptable, with a pooled adverse event rate of 27%. Surgical morbidity and mortality with immunotherapy are similar to historical controls with no immunotherapy, and R0 resection rates are high. When reported, disease-free survival among patients treated with perioperative immunotherapy is promising. CONCLUSIONS Outside of clinical trials, immunotherapy for resectable esophageal carcinoma is limited to the adjuvant setting. Phase III trials investigating neoadjuvant and perioperative immunotherapy are now underway and will provide much-needed data on survival that may ultimately lead to practice-changing recommendations.
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Affiliation(s)
- Cameron N Fick
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Elizabeth G Dunne
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Smita Sihag
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Daniela Molena
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Samuel L Cytryn
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Yelena Y Janjigian
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Abraham J Wu
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Stephanie G Worrell
- Section of Thoracic Surgery, Department of Surgery, University of Arizona, Tucson, Arizona
| | - Wayne L Hofstetter
- Department of Thoracic and Cardiovascular Surgery, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - David R Jones
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
| | - Katherine D Gray
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
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Yang Q, Li X, Zhu W. Identification of a unique stress response state of T cells-related gene signature in patients with gastric cancer. Aging (Albany NY) 2024; 16:9709-9726. [PMID: 38848147 PMCID: PMC11210248 DOI: 10.18632/aging.205895] [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: 11/09/2023] [Accepted: 04/25/2024] [Indexed: 06/09/2024]
Abstract
Gastric cancer (GC), the third most lethal cancer worldwide, is often diagnosed at an advanced stage, leaving limited therapeutic options. Given the diverse outcomes among GC patients with similar AJCC/UICC-TNM characteristics, there is a pressing need for more reliable prognostic tools. Recent advances in targeted therapy and immunotherapy have underscored this necessity. In this context, our study focused on a novel stress response state of T cells, termed TSTR, identified across multiple cancers, which is associated with resistance to immunotherapy. We aimed to develop a predictive gene signature for the TSTR phenotype within the tumor microenvironment (TME) of GC patients. By categorizing GC patients into high and low TSTR groups based on the infiltration states of TME TSTR cells, we observed significant differences in clinical prognosis and characteristics between the groups. Through a multi-step bioinformatics approach, we established an eight-gene signature based on genes differentially expressed between these groups. We conducted functional validations for the signature gene PDGFRL in GC cells. This gene signature effectively stratifies GC patients into high and low-risk categories, demonstrating robustness in predicting clinical outcomes. Furthermore, these risk groups exhibited distinct immune profiles, somatic mutations, and drug susceptibilities, highlighting the potential of our gene signature to enhance personalized treatment strategies in clinical practice.
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Affiliation(s)
- Qin Yang
- Puai Medical College, Shaoyang University, The First Affiliated Hospital of Shaoyang University, Shaoyang, Hunan, China
| | - Xin Li
- Department of Immunology, School of Basic Medicine, Central South University, Changsha, Hunan, China
| | - Weiyuan Zhu
- Puai Medical College, Shaoyang University, The First Affiliated Hospital of Shaoyang University, Shaoyang, Hunan, China
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7
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Ahmed J, Das B, Shin S, Chen A. Challenges and Future Directions in the Management of Tumor Mutational Burden-High (TMB-H) Advanced Solid Malignancies. Cancers (Basel) 2023; 15:5841. [PMID: 38136385 PMCID: PMC10741991 DOI: 10.3390/cancers15245841] [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: 11/06/2023] [Revised: 11/28/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
A standardized assessment of Tumor Mutational Burden (TMB) poses challenges across diverse tumor histologies, treatment modalities, and testing platforms, requiring careful consideration to ensure consistency and reproducibility. Despite clinical trials demonstrating favorable responses to immune checkpoint inhibitors (ICIs), not all patients with elevated TMB exhibit benefits, and certain tumors with a normal TMB may respond to ICIs. Therefore, a comprehensive understanding of the intricate interplay between TMB and the tumor microenvironment, as well as genomic features, is crucial to refine its predictive value. Bioinformatics advancements hold potential to improve the precision and cost-effectiveness of TMB assessments, addressing existing challenges. Similarly, integrating TMB with other biomarkers and employing comprehensive, multiomics approaches could further enhance its predictive value. Ongoing collaborative endeavors in research, standardization, and clinical validation are pivotal in harnessing the full potential of TMB as a biomarker in the clinic settings.
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Affiliation(s)
- Jibran Ahmed
- Developmental Therapeutics Clinic (DTC), National Cancer Institute (NCI), National Institute of Health (NIH), Bethesda, MD 20892, USA
| | - Biswajit Das
- Molecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Sarah Shin
- Developmental Therapeutics Clinic (DTC), National Cancer Institute (NCI), National Institute of Health (NIH), Bethesda, MD 20892, USA
| | - Alice Chen
- Developmental Therapeutics Clinic (DTC), National Cancer Institute (NCI), National Institute of Health (NIH), Bethesda, MD 20892, USA
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8
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Eckenroth BE, Bumgarner JD, Matsumoto-Elliott O, David S, Doublié S. Structural and biochemical insights into NEIL2's preference for abasic sites. Nucleic Acids Res 2023; 51:12508-12521. [PMID: 37971311 PMCID: PMC10711445 DOI: 10.1093/nar/gkad1075] [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: 07/31/2023] [Revised: 10/17/2023] [Accepted: 10/30/2023] [Indexed: 11/19/2023] Open
Abstract
Cellular DNA is subject to damage from a multitude of sources and repair or bypass of sites of damage utilize an array of context or cell cycle dependent systems. The recognition and removal of oxidatively damaged bases is the task of DNA glycosylases from the base excision repair pathway utilizing two structural families that excise base lesions in a wide range of DNA contexts including duplex, single-stranded and bubble structures arising during transcription. The mammalian NEIL2 glycosylase of the Fpg/Nei family excises lesions from each of these DNA contexts favoring the latter two with a preference for oxidized cytosine products and abasic sites. We have determined the first liganded crystal structure of mammalian NEIL2 in complex with an abasic site analog containing DNA duplex at 2.08 Å resolution. Comparison to the unliganded structure revealed a large interdomain conformational shift upon binding the DNA substrate accompanied by local conformational changes in the C-terminal domain zinc finger and N-terminal domain void-filling loop necessary to position the enzyme on the DNA. The detailed biochemical analysis of NEIL2 with an array of oxidized base lesions indicates a significant preference for its lyase activity likely to be paramount when interpreting the biological consequences of variants.
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Affiliation(s)
- Brian E Eckenroth
- Department of Microbiology and Molecular Genetics, University of Vermont, Stafford Hall, 95 Carrigan Drive, Burlington, VT 05405, USA
| | - Joshua D Bumgarner
- Department of Chemistry and Graduate Program in Chemistry and Chemical Biology, University of California Davis, Davis, CA 95616, USA
| | - Olivia Matsumoto-Elliott
- Department of Chemistry and Graduate Program in Chemistry and Chemical Biology, University of California Davis, Davis, CA 95616, USA
| | - Sheila S David
- Department of Chemistry and Graduate Program in Chemistry and Chemical Biology, University of California Davis, Davis, CA 95616, USA
| | - Sylvie Doublié
- Department of Microbiology and Molecular Genetics, University of Vermont, Stafford Hall, 95 Carrigan Drive, Burlington, VT 05405, USA
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9
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Wu H, Ma W, Jiang C, Li N, Xu X, Ding Y, Jiang H. Heterogeneity and Adjuvant Therapeutic Approaches in MSI-H/dMMR Resectable Gastric Cancer: Emerging Trends in Immunotherapy. Ann Surg Oncol 2023; 30:8572-8587. [PMID: 37667098 PMCID: PMC10625937 DOI: 10.1245/s10434-023-14103-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 07/24/2023] [Indexed: 09/06/2023]
Abstract
Gastric cancer (GC) remains one of the world's most common and fatal malignant tumors. With a refined understanding of molecular typing in recent years, microsatellite instability (MSI) has become a major molecular typing approach for gastric cancer. MSI is well recognized for its important role during the immunotherapy of advanced GC. However, its value remains unclear in resectable gastric cancer. The reported incidence of microsatellite instability-high (MSI-H)/deficient mismatch repair (dMMR) in resectable gastric cancer varies widely, with no consensus reached on the value of postoperative adjuvant therapy in patients with MSI-H/dMMR resectable GC. It has been established that MSI-H/dMMR tumor cells can elicit an endogenous immune antitumor response and ubiquitously express immune checkpoint ligands such as PD-1 or PD-L1. On the basis of these considerations, MSI-H/dMMR resectable GCs are responsive to adjuvant immunotherapy, although limited research has hitherto been conducted. In this review, we comprehensively describe the differences in geographic distribution and pathological stages in patients with MSI-H/dMMR with resectable gastric cancer and explore the value of adjuvant chemotherapy and immunotherapy on MSI-H/dMMR to provide a foothold for the individualized treatment of this patient population.
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Affiliation(s)
- Hui Wu
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China
| | - Wenyuan Ma
- Zhejiang University School of Medicine, Hangzhou, China
| | - Congfa Jiang
- Department of Hematology and Oncology, Ningbo Forth Hospital, Ningbo, China
| | - Ning Li
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China
| | - Xin Xu
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China
| | - Yongfeng Ding
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
| | - Haiping Jiang
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
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Pham H, Dixon E. Integration of Next-Generation Sequencing in the Surgical Management of Colorectal Liver Metastasis. Ann Surg Oncol 2023; 30:6815-6823. [PMID: 37316745 DOI: 10.1245/s10434-023-13750-7] [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: 05/27/2022] [Accepted: 06/04/2023] [Indexed: 06/16/2023]
Abstract
Hepatic resection remains the treatment of choice for colorectal liver metastases. The advancement of surgical technique and use of perioperative systemic therapy has expanded the number and complexity of patients eligible for surgical resection. In recent years, investigation into gene mutations, such as RAS/RAF pathway, have led to targeted therapies that have significantly improved outcomes. Next-generation sequencing allows analysis of large number of genes that may have potential prognostic relevance in the clinical setting. This review summarizes the current applications of next-generation sequencing technology in metastatic colorectal cancer, focusing on its prognostic implications on patient management.
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Affiliation(s)
- Helen Pham
- Department of Surgery, Faculty of Medicine, University of Calgary, Foothills Medical Centre, Calgary, AB, Canada.
| | - Elijah Dixon
- Department of Surgery, Faculty of Medicine, University of Calgary, Foothills Medical Centre, Calgary, AB, Canada
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11
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Shapiro JA, Gaonkar KS, Spielman SJ, Savonen CL, Bethell CJ, Jin R, Rathi KS, Zhu Y, Egolf LE, Farrow BK, Miller DP, Yang Y, Koganti T, Noureen N, Koptyra MP, Duong N, Santi M, Kim J, Robins S, Storm PB, Mack SC, Lilly JV, Xie HM, Jain P, Raman P, Rood BR, Lulla RR, Nazarian J, Kraya AA, Vaksman Z, Heath AP, Kline C, Scolaro L, Viaene AN, Huang X, Way GP, Foltz SM, Zhang B, Poetsch AR, Mueller S, Ennis BM, Prados M, Diskin SJ, Zheng S, Guo Y, Kannan S, Waanders AJ, Margol AS, Kim MC, Hanson D, Van Kuren N, Wong J, Kaufman RS, Coleman N, Blackden C, Cole KA, Mason JL, Madsen PJ, Koschmann CJ, Stewart DR, Wafula E, Brown MA, Resnick AC, Greene CS, Rokita JL, Taroni JN. OpenPBTA: The Open Pediatric Brain Tumor Atlas. CELL GENOMICS 2023; 3:100340. [PMID: 37492101 PMCID: PMC10363844 DOI: 10.1016/j.xgen.2023.100340] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 02/28/2023] [Accepted: 05/04/2023] [Indexed: 07/27/2023]
Abstract
Pediatric brain and spinal cancers are collectively the leading disease-related cause of death in children; thus, we urgently need curative therapeutic strategies for these tumors. To accelerate such discoveries, the Children's Brain Tumor Network (CBTN) and Pacific Pediatric Neuro-Oncology Consortium (PNOC) created a systematic process for tumor biobanking, model generation, and sequencing with immediate access to harmonized data. We leverage these data to establish OpenPBTA, an open collaborative project with over 40 scalable analysis modules that genomically characterize 1,074 pediatric brain tumors. Transcriptomic classification reveals universal TP53 dysregulation in mismatch repair-deficient hypermutant high-grade gliomas and TP53 loss as a significant marker for poor overall survival in ependymomas and H3 K28-mutant diffuse midline gliomas. Already being actively applied to other pediatric cancers and PNOC molecular tumor board decision-making, OpenPBTA is an invaluable resource to the pediatric oncology community.
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Affiliation(s)
- Joshua A. Shapiro
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Krutika S. Gaonkar
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Stephanie J. Spielman
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Rowan University, Glassboro, NJ 08028, USA
| | - Candace L. Savonen
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Chante J. Bethell
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Run Jin
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Komal S. Rathi
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Yuankun Zhu
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Laura E. Egolf
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Bailey K. Farrow
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Daniel P. Miller
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Yang Yang
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
| | - Tejaswi Koganti
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Nighat Noureen
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Mateusz P. Koptyra
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Nhat Duong
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Mariarita Santi
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Jung Kim
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
| | - Shannon Robins
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Phillip B. Storm
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Stephen C. Mack
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Jena V. Lilly
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Hongbo M. Xie
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Payal Jain
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Pichai Raman
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Brian R. Rood
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Rishi R. Lulla
- Division of Hematology/Oncology, Hasbro Children’s Hospital, Providence, RI 02903, USA
- Department of Pediatrics, The Warren Alpert School of Brown University, Providence, RI 02912, USA
| | - Javad Nazarian
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
- Department of Pediatrics, University of Zurich, Zurich, Switzerland
| | - Adam A. Kraya
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Zalman Vaksman
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Allison P. Heath
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Cassie Kline
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Laura Scolaro
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Angela N. Viaene
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Xiaoyan Huang
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Gregory P. Way
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Steven M. Foltz
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Bo Zhang
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Anna R. Poetsch
- Biotechnology Center, Technical University Dresden, Dresden, Germany
- National Center for Tumor Diseases, Dresden, Germany
| | - Sabine Mueller
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, San Francisco, CA 94115, USA
| | - Brian M. Ennis
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Michael Prados
- University of California, San Francisco, San Francisco, CA 94115, USA
| | - Sharon J. Diskin
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Siyuan Zheng
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Yiran Guo
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Shrivats Kannan
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Angela J. Waanders
- Division of Hematology, Oncology, Neuro-Oncology, and Stem Cell Transplant, Ann & Robert H Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Ashley S. Margol
- Division of Hematology and Oncology, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
| | - Meen Chul Kim
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Derek Hanson
- Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Hackensack University Medical Center, Hackensack, NJ 07601, USA
| | - Nicholas Van Kuren
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jessica Wong
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Rebecca S. Kaufman
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Noel Coleman
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Christopher Blackden
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Kristina A. Cole
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jennifer L. Mason
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Peter J. Madsen
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Carl J. Koschmann
- Department of Pediatrics, University of Michigan Health, Ann Arbor, MI 48105, USA
- Pediatric Hematology Oncology, Mott Children’s Hospital, Ann Arbor, MI 48109, USA
| | - Douglas R. Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
| | - Eric Wafula
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Miguel A. Brown
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Adam C. Resnick
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Casey S. Greene
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jo Lynne Rokita
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jaclyn N. Taroni
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
| | - Children’s Brain Tumor Network
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Rowan University, Glassboro, NJ 08028, USA
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
- Division of Hematology/Oncology, Hasbro Children’s Hospital, Providence, RI 02903, USA
- Department of Pediatrics, The Warren Alpert School of Brown University, Providence, RI 02912, USA
- Department of Pediatrics, University of Zurich, Zurich, Switzerland
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Biotechnology Center, Technical University Dresden, Dresden, Germany
- National Center for Tumor Diseases, Dresden, Germany
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, San Francisco, CA 94115, USA
- University of California, San Francisco, San Francisco, CA 94115, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Hematology, Oncology, Neuro-Oncology, and Stem Cell Transplant, Ann & Robert H Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Division of Hematology and Oncology, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
- Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Hackensack University Medical Center, Hackensack, NJ 07601, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Michigan Health, Ann Arbor, MI 48105, USA
- Pediatric Hematology Oncology, Mott Children’s Hospital, Ann Arbor, MI 48109, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Pacific Pediatric Neuro-Oncology Consortium
- Childhood Cancer Data Lab, Alex’s Lemonade Stand Foundation, Bala Cynwyd, PA 19004, USA
- Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Bioinformatics and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Rowan University, Glassboro, NJ 08028, USA
- Cell and Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
- Greehey Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- Children’s National Research Institute, Washington, DC 20012, USA
- George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
- Division of Hematology/Oncology, Hasbro Children’s Hospital, Providence, RI 02903, USA
- Department of Pediatrics, The Warren Alpert School of Brown University, Providence, RI 02912, USA
- Department of Pediatrics, University of Zurich, Zurich, Switzerland
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Biotechnology Center, Technical University Dresden, Dresden, Germany
- National Center for Tumor Diseases, Dresden, Germany
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, San Francisco, CA 94115, USA
- University of California, San Francisco, San Francisco, CA 94115, USA
- Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Hematology, Oncology, Neuro-Oncology, and Stem Cell Transplant, Ann & Robert H Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Division of Hematology and Oncology, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
- Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Hackensack University Medical Center, Hackensack, NJ 07601, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pediatrics, University of Michigan Health, Ann Arbor, MI 48105, USA
- Pediatric Hematology Oncology, Mott Children’s Hospital, Ann Arbor, MI 48109, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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12
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Nagahashi M, Ling Y, Toshikawa C, Hayashida T, Kitagawa Y, Futamura M, Kuwayama T, Nakamura S, Yamauchi H, Yamauchi T, Kaneko K, Kanbayashi C, Sato N, Tsuchida J, Moro K, Nakajima M, Shimada Y, Ichikawa H, Lyle S, Miyoshi Y, Takabe K, Okuda S, Wakai T. Copy number alteration is an independent prognostic biomarker in triple-negative breast cancer patients. Breast Cancer 2023; 30:584-595. [PMID: 36930419 DOI: 10.1007/s12282-023-01449-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 03/05/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND Next-generation sequencing (NGS) has enabled comprehensive genomic profiling to identify gene alterations that play important roles in cancer biology. However, the clinical significance of these genomic alterations in triple-negative breast cancer (TNBC) patients has not yet been fully elucidated. The aim of this study was to clarify the clinical significance of genomic profiling data, including copy number alterations (CNA) and tumor mutation burden (TMB), in TNBC patients. METHODS A total of 47 patients with Stage I-III TNBC with genomic profiling of 435 known cancer genes by NGS were enrolled in this study. Disease-free survival (DFS) and overall survival (OS) were evaluated for their association to gene profiling data. RESULTS CNA-high patients showed significantly worse DFS and OS than CNA-low patients (p = 0.0009, p = 0.0041, respectively). TMB was not associated with DFS or OS in TNBC patients. Patients with TP53 alterations showed a tendency of worse DFS (p = 0.0953) and significantly worse OS (p = 0.0338) compared with patients without TP53 alterations. Multivariable analysis including CNA and other clinicopathological parameters revealed that CNA was an independent prognostic factor for DFS (p = 0.0104) and OS (p = 0.0306). Finally, multivariable analysis also revealed the combination of CNA-high and TP53 alterations is an independent prognostic factor for DFS (p = 0.0005) and OS (p = 0.0023). CONCLUSIONS We revealed that CNA, but not TMB, is significantly associated with DFS and OS in TNBC patients. The combination of CNA-high and TP53 alterations may be a promising biomarker that can inform beyond standard clinicopathologic factors to identify a subgroup of TNBC patients with significantly worse prognosis.
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Affiliation(s)
- Masayuki Nagahashi
- Department of Surgery, Division of Breast and Endocrine Surgery, School of Medicine, Hyogo Medical University, 1-1 Mukogawa-Cho, Nishinomiya, Hyogo, 663-8501, Japan.
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-Dori, Chuo-Ku, Niigata, 951-8510, Japan.
| | - YiWei Ling
- Division of Bioinformatics, Niigata University Graduate School of Medical and Dental Sciences, 2-5274 Gakkocho-dori, Chuo-Ku, Niigata, 951-8514, Japan
- Medical AI Center, Niigata University School of Medicine, 2-5274 Gakkocho-dori, Chuo-Ku, Niigata, 951-8514, Japan
| | - Chie Toshikawa
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-Dori, Chuo-Ku, Niigata, 951-8510, Japan
- Department of Breast Surgical Oncology, St. Luke's International Hospital, 9-1 Akashicho, Chuo-Ku, Tokyo, 104-8560, Japan
| | - Tetsu Hayashida
- Department of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan
| | - Manabu Futamura
- Department of Breast Surgery, Gifu University Hospital, 1-1 Yanagido, Gifu, 501-1194, Japan
| | - Takashi Kuwayama
- Division of Breast Surgical Oncology, Department of Surgery, Showa University School of Medicine, 1-5-8, Hatanodai, Shinagawa-Ku, Tokyo, 142-8666, Japan
| | - Seigo Nakamura
- Division of Breast Surgical Oncology, Department of Surgery, Showa University School of Medicine, 1-5-8, Hatanodai, Shinagawa-Ku, Tokyo, 142-8666, Japan
| | - Hideko Yamauchi
- Department of Breast Surgical Oncology, St. Luke's International Hospital, 9-1 Akashicho, Chuo-Ku, Tokyo, 104-8560, Japan
| | - Teruo Yamauchi
- Division of Medical Oncology, Department of Internal Medicine, St. Luke's International Hospital, 9-1 Akashicho, Chuo-Ku, Tokyo, 104-8560, Japan
| | - Koji Kaneko
- Department of Breast Oncology, Niigata Cancer Center Hospital, 15-3 Kawagishi-Cho 2-Chome, Chuo-Ku, Niigata, 951-8566, Japan
| | - Chizuko Kanbayashi
- Department of Breast Oncology, Niigata Cancer Center Hospital, 15-3 Kawagishi-Cho 2-Chome, Chuo-Ku, Niigata, 951-8566, Japan
| | - Nobuaki Sato
- Department of Breast Oncology, Niigata Cancer Center Hospital, 15-3 Kawagishi-Cho 2-Chome, Chuo-Ku, Niigata, 951-8566, Japan
| | - Junko Tsuchida
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-Dori, Chuo-Ku, Niigata, 951-8510, Japan
| | - Kazuki Moro
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-Dori, Chuo-Ku, Niigata, 951-8510, Japan
| | - Masato Nakajima
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-Dori, Chuo-Ku, Niigata, 951-8510, Japan
| | - Yoshifumi Shimada
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-Dori, Chuo-Ku, Niigata, 951-8510, Japan
| | - Hiroshi Ichikawa
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-Dori, Chuo-Ku, Niigata, 951-8510, Japan
| | - Stephen Lyle
- University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA
| | - Yasuo Miyoshi
- Department of Surgery, Division of Breast and Endocrine Surgery, School of Medicine, Hyogo Medical University, 1-1 Mukogawa-Cho, Nishinomiya, Hyogo, 663-8501, Japan
| | - Kazuaki Takabe
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-Dori, Chuo-Ku, Niigata, 951-8510, Japan
- Breast Surgery, Roswell Park Comprehensive Cancer Center, Elm & Carlton Streets, Buffalo, NY, 14263, USA
- Department of Surgery, University at Buffalo Jacobs School of Medicine and Biosciences, The State University of New York, Buffalo, NY, 14203, USA
- Department of Breast Surgery and Oncology, Tokyo Medical University, 6-1-1 Shinjuku, Shinjuku-Ku, Tokyo, 160-8402, Japan
- Department of Surgery, Yokohama City University, 3-9 Fukuura, Kanazawa-Ku, Yokohama, 236-0004, Japan
| | - Shujiro Okuda
- Division of Bioinformatics, Niigata University Graduate School of Medical and Dental Sciences, 2-5274 Gakkocho-dori, Chuo-Ku, Niigata, 951-8514, Japan
- Medical AI Center, Niigata University School of Medicine, 2-5274 Gakkocho-dori, Chuo-Ku, Niigata, 951-8514, Japan
| | - Toshifumi Wakai
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-Dori, Chuo-Ku, Niigata, 951-8510, Japan
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13
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Wong LY, Liou DZ, Backhus LM, Lui NS, Shrager JB, Berry MF. The impact of neoadjuvant immunotherapy on perioperative outcomes and survival after esophagectomy for esophageal cancer. JTCVS OPEN 2023; 14:547-560. [PMID: 37425457 PMCID: PMC10328967 DOI: 10.1016/j.xjon.2023.03.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 03/18/2023] [Accepted: 03/24/2023] [Indexed: 07/11/2023]
Abstract
Objective Immunotherapy for esophageal cancer is relatively novel but increasingly used. This study evaluated the early use of immunotherapy as an adjunct to neoadjuvant chemoradiotherapy before esophagectomy for locally advanced disease. Methods Perioperative morbidity (composite of mortality, hospitalization ≥21 days, or readmission) and survival of patients with locally advanced (cT3N0M0, cT1-3N + M0) distal esophageal cancer in the National Cancer Database from 2013 to 2020 who underwent neoadjuvant immunotherapy plus chemoradiotherapy or chemoradiotherapy alone followed by esophagectomy were evaluated using logistic regression, Kaplan-Meier curves, Cox proportional hazards methods, and propensity-matched analysis. Results Immunotherapy was used in 165 (1.6%) of 10,348 patients. Younger age (odds ratio, 0.66; 95% confidence interval, 0.53-0.81; P < .001) predicted immunotherapy use, which slightly delayed time from diagnosis to surgery versus chemoradiation alone (immunotherapy 148 [interquartile range, 128-177] days vs chemoradiation 138 [interquartile range, 120-162] days, P < .001). There were no statistically significant differences between the immunotherapy and chemoradiation groups for the composite major morbidity index (14.5% [24/165] vs 15.6% [1584/10,183], P = .8). Immunotherapy was associated with a significant improvement in median overall survival (69.1 months vs 56.3 months, P = .005) and 3-year overall survival in univariate analysis (65.6% [95% confidence interval, 57.7-74.5] vs 55.0% [53.9-56.1], P = .005), and independently predicted improved survival in multivariable analysis (hazard ratio 0.68 [95% confidence interval, 0.52-0.89], P = .006). Propensity-matched analysis also showed that immunotherapy use was not associated with increased surgical morbidity (P = .5) but was associated with improved survival (P = .047). Conclusions Neoadjuvant immunotherapy use before esophagectomy for locally advanced esophageal cancer did not lead to worse perioperative outcomes and shows promising results on midterm survival.
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Affiliation(s)
- Lye-Yeng Wong
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, Calif
| | - Douglas Z. Liou
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, Calif
| | - Leah M. Backhus
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, Calif
- VA Palo Alto Health Care System, Palo Alto, Calif
| | - Natalie S. Lui
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, Calif
| | - Joseph B. Shrager
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, Calif
- VA Palo Alto Health Care System, Palo Alto, Calif
| | - Mark F. Berry
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, Calif
- VA Palo Alto Health Care System, Palo Alto, Calif
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14
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Drommi F, Calabrò A, Vento G, Pezzino G, Cavaliere R, Omero F, Muscolino P, Granata B, D'Anna F, Silvestris N, De Pasquale C, Ferlazzo G, Campana S. Crosstalk between ILC3s and Microbiota: Implications for Colon Cancer Development and Treatment with Immune Check Point Inhibitors. Cancers (Basel) 2023; 15:cancers15112893. [PMID: 37296855 DOI: 10.3390/cancers15112893] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 05/17/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
Type 3 innate lymphoid cells (ILC3s) are primarily tissue-resident cells strategically localized at the intestinal barrier that exhibit the fast-acting responsiveness of classic innate immune cells. Populations of these lymphocytes depend on the transcription factor RAR-related orphan receptor and play a key role in maintaining intestinal homeostasis, keeping host-microbial mutualism in check. Current evidence has indicated a bidirectional relationship between microbiota and ILC3s. While ILC3 function and maintenance in the gut are influenced by commensal microbiota, ILC3s themselves can control immune responses to intestinal microbiota by providing host defense against extracellular bacteria, helping to maintain a diverse microbiota and inducing immune tolerance for commensal bacteria. Thus, ILC3s have been linked to host-microbiota interactions and the loss of their normal activity promotes dysbiosis, chronic inflammation and colon cancer. Furthermore, recent evidence has suggested that a healthy dialog between ILC3s and gut microbes is necessary to support antitumor immunity and response to immune checkpoint inhibitor (ICI) therapy. In this review, we summarize the functional interactions occurring between microbiota and ILC3s in homeostasis, providing an overview of the molecular mechanisms orchestrating these interactions. We focus on how alterations in this interplay promote gut inflammation, colorectal cancer and resistance to therapies with immune check point inhibitors.
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Affiliation(s)
- Fabiana Drommi
- Laboratory of Immunology and Biotherapy, Department Human Pathology "G.Barresi", University of Messina, 98122 Messina, Italy
| | - Alessia Calabrò
- Laboratory of Immunology and Biotherapy, Department Human Pathology "G.Barresi", University of Messina, 98122 Messina, Italy
| | - Grazia Vento
- Department of Experimental Medicine (DIMES), University of Genoa, 16132 Genova, Italy
| | - Gaetana Pezzino
- Unit of Experimental Pathology and Immunology, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Riccardo Cavaliere
- Laboratory of Immunology and Biotherapy, Department Human Pathology "G.Barresi", University of Messina, 98122 Messina, Italy
| | - Fausto Omero
- Medical Oncology Unit, Department of Human Pathology "G.Barresi", University of Messina, 98125 Messina, Italy
| | - Paola Muscolino
- Medical Oncology Unit, Department of Human Pathology "G.Barresi", University of Messina, 98125 Messina, Italy
| | - Barbara Granata
- Medical Oncology Unit, Department of Human Pathology "G.Barresi", University of Messina, 98125 Messina, Italy
| | - Federica D'Anna
- Medical Oncology Unit, Department of Human Pathology "G.Barresi", University of Messina, 98125 Messina, Italy
| | - Nicola Silvestris
- Medical Oncology Unit, Department of Human Pathology "G.Barresi", University of Messina, 98125 Messina, Italy
| | - Claudia De Pasquale
- Laboratory of Immunology and Biotherapy, Department Human Pathology "G.Barresi", University of Messina, 98122 Messina, Italy
| | - Guido Ferlazzo
- Department of Experimental Medicine (DIMES), University of Genoa, 16132 Genova, Italy
- Unit of Experimental Pathology and Immunology, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Stefania Campana
- Laboratory of Immunology and Biotherapy, Department Human Pathology "G.Barresi", University of Messina, 98122 Messina, Italy
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15
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Liu S, Liu X, Lin X, Chen H. Zinc Finger Proteins in the War on Gastric Cancer: Molecular Mechanism and Clinical Potential. Cells 2023; 12:cells12091314. [PMID: 37174714 PMCID: PMC10177130 DOI: 10.3390/cells12091314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 04/30/2023] [Accepted: 05/02/2023] [Indexed: 05/15/2023] Open
Abstract
According to the 2020 global cancer data released by the World Cancer Research Fund (WCRF) International, gastric cancer (GC) is the fifth most common cancer worldwide, with yearly increasing incidence and the second-highest fatality rate in malignancies. Despite the contemporary ambiguous molecular mechanisms in GC pathogenesis, numerous in-depth studies have demonstrated that zinc finger proteins (ZFPs) are essential for the development and progression of GC. ZFPs are a class of transcription factors with finger-like domains that bind to Zn2+ extensively and participate in gene replication, cell differentiation and tumor development. In this review, we briefly outline the roles, molecular mechanisms and the latest advances in ZFPs in GC, including eight principal aspects, such as cell proliferation, epithelial-mesenchymal transition (EMT), invasion and metastasis, inflammation and immune infiltration, apoptosis, cell cycle, DNA methylation, cancer stem cells (CSCs) and drug resistance. Intriguingly, the myeloid zinc finger 1 (MZF1) possesses reversely dual roles in GC by promoting tumor proliferation or impeding cancer progression via apoptosis. Therefore, a thorough understanding of the molecular mechanism of ZFPs on GC progression will pave the solid way for screening the potentially effective diagnostic indicators, prognostic biomarkers and therapeutic targets of GC.
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Affiliation(s)
- Shujie Liu
- Department of Histology and Embryology, Medical College, Nanchang University, Nanchang 330006, China
- Medical Department, Queen Mary School, Nanchang University, Nanchang 330006, China
| | - Xingzhu Liu
- Department of Histology and Embryology, Medical College, Nanchang University, Nanchang 330006, China
- Medical Department, Queen Mary School, Nanchang University, Nanchang 330006, China
| | - Xin Lin
- Department of Histology and Embryology, Medical College, Nanchang University, Nanchang 330006, China
- Medical Department, Queen Mary School, Nanchang University, Nanchang 330006, China
| | - Hongping Chen
- Department of Histology and Embryology, Medical College, Nanchang University, Nanchang 330006, China
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16
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Liu Y, Chen H, Bao H, Zhang J, Wu R, Zhu L. Comprehensive characterization of FBXW7 mutational and clinicopathological profiles in human colorectal cancers. Front Oncol 2023; 13:1154432. [PMID: 37064111 PMCID: PMC10091464 DOI: 10.3389/fonc.2023.1154432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 03/13/2023] [Indexed: 03/31/2023] Open
Abstract
BackgroundFBXW7 is recognized as a critical tumor suppressor gene and a component of the ubiquitin-proteasome system, mediating the degradation of multiple oncogenic proteins, including c-MYC, Cyclin E, c-Jun, Notch, p53. Around 16% of colorectal cancer (CRC) patients carried FBXW7 somatic mutations, while a comprehensive characterization of FBXW7 somatic mutations in CRC is still lacking.MethodsColorectal cancer patients with tumor samples and matching white blood cell samples in the past five years were screened and DNA sequenced. DNA sequencing data of MSK MetTropism cohort and RNA sequencing data of TCGA COAD cohort were analyzed.ResultsWe discovered that the FBXW7 mutations were associated with higher tumor mutation burden (TMB), higher microsatellite instability (MSI) score, and lower chromosomal instability (CIN) score. Patients with FBXW7 mutations showed better overall survival (HR: 0.67; 95%CI: 0.55-0.80, P < 0.001). However, patients with FBXW7 R465C mutation displayed worse overall survival in multi-variate cox analysis when compared with patients carrying other FBXW7 mutations (HR: 1.6; 95%CI: 1.13-3.1, P = 0.015), and with all other patients (HR: 1.87; 95%CI: 0.99-2.5, P = 0.053). Moreover, in MSI patients, the FBXW7 mutated group showed higher M1 macrophage, CD8+ T cell, and regulatory T cell (Tregs) infiltration rates, and significant enrichment of multiple immune-related gene sets, including interferon-gamma response, interferon-alpha response, IL6 JAK STAT3 signaling, p53 pathway.ConclusionThis analysis comprehensively identified FBXW7 alterations in colorectal cancer patients and uncovered the molecular, clinicopathological, and immune-related patterns of FBXW7-altered CRC patients.
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Affiliation(s)
- Yiping Liu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - Hanlin Chen
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Hua Bao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Jinfeng Zhang
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Runda Wu
- Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
- *Correspondence: Runda Wu, ; Lingjun Zhu,
| | - Lingjun Zhu
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Runda Wu, ; Lingjun Zhu,
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17
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Yu I, Dakwar A, Takabe K. Immunotherapy: Recent Advances and Its Future as a Neoadjuvant, Adjuvant, and Primary Treatment in Colorectal Cancer. Cells 2023; 12:cells12020258. [PMID: 36672193 PMCID: PMC9856401 DOI: 10.3390/cells12020258] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 01/02/2023] [Accepted: 01/04/2023] [Indexed: 01/10/2023] Open
Abstract
Immunotherapy in colorectal cancer (CRC) has made great strides within the past decade. Immune checkpoint inhibitors are a class of immunotherapy and have been shown to greatly improve patient outcomes in mismatch repair-deficient (dMMR) CRC. Now, they are part of the standard of care for this subset of CRC. Because of this, there has been a growing interest in the efficacy and timing of immunotherapy for other subsets of CRC, including locally advanced, metastatic, and microsatellite stable (MSS). In this review, we aim to examine the three main classes of immunotherapy for CRC-immune checkpoint inhibitors (ICIs), adoptive cell transfer therapy (ACT), and tumor vaccines-and discuss the most recent advances and future directions for each.
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Affiliation(s)
- Irene Yu
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
- Department of Surgery, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY 14214, USA
| | - Anthony Dakwar
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
- Department of Surgery, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY 14214, USA
| | - Kazuaki Takabe
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
- Department of Surgery, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY 14214, USA
- Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
- Department of Surgery, Niigata University Graduate School of Medical and Dental Sciences, Niigata 951-8510, Japan
- Department of Breast Surgery and Oncology, Tokyo Medical University, Tokyo 160-8402, Japan
- Department of Breast Surgery, Fukushima Medical University, Fukushima 960-1295, Japan
- Correspondence: ; Tel.: +1-716-845-5128
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18
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Shasha T, Gruijs M, van Egmond M. Mechanisms of colorectal liver metastasis development. Cell Mol Life Sci 2022; 79:607. [PMID: 36436127 PMCID: PMC9701652 DOI: 10.1007/s00018-022-04630-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 11/11/2022] [Accepted: 11/13/2022] [Indexed: 11/28/2022]
Abstract
Colorectal cancer (CRC) is a leading cause of cancer-related death worldwide, largely due to the development of colorectal liver metastases (CRLM). For the establishment of CRLM, CRC cells must remodel their tumor-microenvironment (TME), avoid the immune system, invade the underlying stroma, survive the hostile environment of the circulation, extravasate into the liver, reprogram the hepatic microenvironment into a permissive pre-metastatic niche, and finally, awake from a dormant state to grow out into clinically detectable CRLM. These steps form part of the invasion-metastasis cascade that relies on reciprocal interactions between the tumor and its ever-changing microenvironment. Such interplay provides a strong rational for therapeutically targeting the TME. In fact, several TME constituents, such as VEGF, TGF-β coreceptor endoglin, and CXCR4, are already targeted in clinical trials. It is, however, of utmost importance to fully understand the complex interactions in the invasion-metastasis cascade to identify novel potential therapeutic targets and prevent the establishment of CRLM, which may ultimately greatly improve patient outcome.
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Affiliation(s)
- Tal Shasha
- Molecular Cell Biology and Immunology, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Cancer Biology and Immunology, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Cancer Immunology, Amsterdam, The Netherlands
| | - Mandy Gruijs
- Molecular Cell Biology and Immunology, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Cancer Biology and Immunology, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Cancer Immunology, Amsterdam, The Netherlands
| | - Marjolein van Egmond
- Molecular Cell Biology and Immunology, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, Cancer Biology and Immunology, Amsterdam, The Netherlands.
- Amsterdam Institute for Infection and Immunity, Cancer Immunology, Amsterdam, The Netherlands.
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Surgery, De Boelelaan 1117, Amsterdam, The Netherlands.
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19
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Mathebela P, Damane BP, Mulaudzi TV, Mkhize-Khwitshana ZL, Gaudji GR, Dlamini Z. Influence of the Microbiome Metagenomics and Epigenomics on Gastric Cancer. Int J Mol Sci 2022; 23:13750. [PMID: 36430229 PMCID: PMC9693604 DOI: 10.3390/ijms232213750] [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: 10/03/2022] [Revised: 11/01/2022] [Accepted: 11/04/2022] [Indexed: 11/11/2022] Open
Abstract
Gastric cancer (GC) is one of the major causes of cancer deaths worldwide. The disease is seldomly detected early and this limits treatment options. Because of its heterogeneous and complex nature, the disease remains poorly understood. The literature supports the contribution of the gut microbiome in the carcinogenesis and chemoresistance of GC. Drug resistance is the major challenge in GC therapy, occurring as a result of rewired metabolism. Metabolic rewiring stems from recurring genetic and epigenetic factors affecting cell development. The gut microbiome consists of pathogens such as H. pylori, which can foster both epigenetic alterations and mutagenesis on the host genome. Most of the bacteria implicated in GC development are Gram-negative, which makes it challenging to eradicate the disease. Gram-negative bacterium co-infections with viruses such as EBV are known as risk factors for GC. In this review, we discuss the role of microbiome-induced GC carcinogenesis. The disease risk factors associated with the presence of microorganisms and microbial dysbiosis are also discussed. In doing so, we aim to emphasize the critical role of the microbiome on cancer pathological phenotypes, and how microbiomics could serve as a potential breakthrough in determining effective GC therapeutic targets. Additionally, consideration of microbial dysbiosis in the GC classification system might aid in diagnosis and treatment decision-making, taking the specific pathogen/s involved into account.
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Affiliation(s)
- Precious Mathebela
- Department of Surgery, Steve Biko Academic Hospital, University of Pretoria, Hatfield 0028, South Africa
| | - Botle Precious Damane
- Department of Surgery, Steve Biko Academic Hospital, University of Pretoria, Hatfield 0028, South Africa
| | - Thanyani Victor Mulaudzi
- Department of Surgery, Steve Biko Academic Hospital, University of Pretoria, Hatfield 0028, South Africa
| | - Zilungile Lynette Mkhize-Khwitshana
- School of Medicine, University of Kwa-Zulu Natal, Durban, KwaZulu-Natal 4013, South Africa
- SAMRC Research Capacity Development Division, South African Medical Research Council, Tygerberg, Cape Town 7501, South Africa
| | - Guy Roger Gaudji
- Department of Urology, Level 7, Bridge C, Steve Biko Academic Hospital, Faculty of Health Sciences, University of Pretoria, Private Bag X323, Arcadia 0007, South Africa
| | - Zodwa Dlamini
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield 0028, South Africa
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20
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Fanaei K, Salahshourifar I, Ameli F, Esfandbod M, Irani S. High Frequency of Microsatellite Instability among Non-Metastatic Gastric Cancer. Int J Hematol Oncol Stem Cell Res 2022; 16:239-249. [PMID: 36883110 PMCID: PMC9985814 DOI: 10.18502/ijhoscr.v16i4.10882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 09/12/2021] [Indexed: 11/05/2022] Open
Abstract
Background: Microsatellite instability (MSI) is considered a key factor in carcinogenesis and a genetic alteration pattern in many types of cancers such as gastric cancer (GC). Although the role of MSI in colorectal cancer (CRC) is well known, its prognostic impact on GC has not been clearly defined. The assessment of MSI in GC has not been documented in the Iranian population yet. Therefore, this study analyzed the association of MSI status with GC in Iranian patients. Materials and Methods: We compared the frequency of MSI at 5 loci from formalin-fixed paraffin-embedded (FFPE) gastrectomy specimens, between metastatic and non-metastatic cases of GC (N = 60). A panel of five quasi-monomorphic markers and a single dinucleotide marker with linker-based fluorescent primers was used. Results: MSI was observed in 46.6% of cases, including MSI-high (H) (33.3%) and MSI-Low (L) (13.3%). Moreover, the most unstable and stable markers in our study were NR-21 and BAT-26 accordingly. MSI-H and MSI were seen more frequently in non-metastatic tumors (p= 0.028 and p= 0.019, respectively). Conclusion: The current study showed MSI status more frequently in non-metastatic GC which may reflect a good prognostic factor in GC like CRC. Although, larger and more comprehensive studies are needed to confirm this statement. A panel consisting of NR-21, BAT-25, and NR-27 mononucleotide markers appears to be reliable and useful markers for detecting MSI in GC in Iranian patients.
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Affiliation(s)
- Khadijeh Fanaei
- Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Iman Salahshourifar
- Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Fereshteh Ameli
- Department of Pathology, Cancer Institute, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohsen Esfandbod
- Department of Hematology and Oncology, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Shiva Irani
- Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
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21
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Ma S, Chen F. Common strategies for effective immunotherapy of gastroesophageal cancers using immune checkpoint inhibitors. Pathol Res Pract 2022; 238:154110. [PMID: 36155325 DOI: 10.1016/j.prp.2022.154110] [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: 05/27/2022] [Revised: 08/25/2022] [Accepted: 08/31/2022] [Indexed: 11/21/2022]
Abstract
Gastroesophageal cancers (GECs) are very prevalent around the world and rank as the second cause of all cancer-related deaths in men and women and demonstrate a very poor prognosis. Currently, the treatment options for these malignancies are very limited and the response rates are also very low. Recently, immune checkpoint inhibitors (ICIs) have been proposed for immunotherapy of GECs; although preliminary results obtained from the clinical trials of ICIs in GECs were promising, they have shown to be effective only in a few subsets of patients who had a previous immune response to the tumor. In order to maximize the efficacy of ICIs in GECs, as well as identify the patients who will likely benefit from ICIs, several predictive biomarkers, such as Programmed death-ligand 1 (PD-L1) have been developed and evaluated. Since the single ICI therapies resulted in poor treatment response, several clinical studies began to explore various combinations of one or two ICIs with other anti-cancer treatment approaches, including chemotherapy, radiotherapy, and anti-angiogenesis therapy. These combinations demonstrated a more effective response among the ICIs-responsive patients and even in some instances sensitized the non-responsive individuals. This review is aimed to summarize the efforts made so far for improving the effectiveness of ICIs in the treatment of patients with GECs. Furthermore, multiple aspects of translational medicine such as available biomarkers and interactions between tumor and the immune system, as well as clinical aspects regarding the combination therapies and results of clinical trials will be discussed.
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Affiliation(s)
- Shuang Ma
- Cancer Center, Department of Pathology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou 310014, China.
| | - Fei Chen
- Department of Gastroenterology, Tiantai People's Hospital of Zhejiang Province (Tiantai Branch of Zhejiang People's Hospital), Taizhou 317200, China.
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22
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Agnarelli A, Vella V, Samuels M, Papanastasopoulos P, Giamas G. Incorporating Immunotherapy in the Management of Gastric Cancer: Molecular and Clinical Implications. Cancers (Basel) 2022; 14:cancers14184378. [PMID: 36139540 PMCID: PMC9496849 DOI: 10.3390/cancers14184378] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/30/2022] [Accepted: 09/05/2022] [Indexed: 01/30/2023] Open
Abstract
Simple Summary Gastric cancer is one of the most common malignant tumours worldwide, with the fifth and third highest morbidity and mortality, respectively, of all cancers. Survival is limited, as most of the patients are diagnosed at an advanced stage, and are not suitable for surgery with a curative intent. Chemotherapy has only modestly improved patients’ outcomes and is mainly given with a palliative intent. Immunotherapy has improved overall survival of patients with gastric cancer, and has thus become a new standard of care in clinic. In this review we discuss the strong molecular rationale for the administration of immunotherapy in this disease and analyse the clinical data supporting its use. Abstract Gastric cancer has a median survival of 11 months, and this poor prognosis has not improved over the last 30 years. Recent pre-clinical data suggest that there is high tumour-related neoantigen expression in gastric cancer cells, suggesting that a clinical strategy that enhances the host’s immune system against cancer cells may be a successful approach to improve clinical outcomes. Additionally, there has been an increasing amount of translational evidence highlighting the relevance of PD-L1 expression in gastric cancer cells, indicating that PD-1/PD-L1 inhibitors may be useful. Several molecular subgroups of gastric cancer have been identified to respond with excellent outcomes to immunotherapy, including microsatellite instable tumours, tumours bearing a high tumour mutational burden, and tumours related to a chronic EBV infection. In gastric cancer, immunotherapy has produced durable responses in chemo-refractory patients; however, most recently there has been a lot of enthusiasm as several large-scale clinical trials highlight the improved survival noted from the incorporation of immunotherapy in the first line setting for advanced gastric cancer. Our review aims to discuss current pre-clinical and clinical data supporting the innovative role of immunotherapy in gastric cancer.
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23
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Bouvier C, Nihous H, Macagno N. [Soft tissue tumours with FN1 (Fibronectin 1) fusion gene]. Ann Pathol 2022; 42:242-248. [PMID: 35181149 DOI: 10.1016/j.annpat.2022.01.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 01/31/2022] [Accepted: 01/31/2022] [Indexed: 10/19/2022]
Abstract
Translocations involving FN1 gene have been described in several tumours, which share the presence of a cartilaginous matrix with or without calcifications and a good prognosis. They encompass: soft tissue chondroma, synovial chondromatosis, calcifying aponeurotic fibroma, phosphaturic mesenchymal tumour and a new spectrum of tumours: "the calcified chondroid mesenchymal neoplasms". We review all the clinical, histopathological and molecular data of these tumours and discuss the differential diagnoses.
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Affiliation(s)
- Corinne Bouvier
- Service d'anatomie pathologique et de neuropathologie, hôpital de la Timone, 264, rue Saint-Pierre, 13385 Marseille cedex 05, France; Inserm MMG, Aix-Marseille Université, Marseille, France.
| | - Hugo Nihous
- Service d'anatomie pathologique et de neuropathologie, hôpital de la Timone, 264, rue Saint-Pierre, 13385 Marseille cedex 05, France
| | - Nicolas Macagno
- Service d'anatomie pathologique et de neuropathologie, hôpital de la Timone, 264, rue Saint-Pierre, 13385 Marseille cedex 05, France; Inserm MMG, Aix-Marseille Université, Marseille, France
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24
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Garmezy B, Gheeya J, Lin HY, Huang Y, Kim T, Jiang X, Thein KZ, Pilié PG, Zeineddine F, Wang W, Shaw KR, Rodon J, Shen JP, Yuan Y, Meric-Bernstam F, Chen K, Yap TA. Clinical and Molecular Characterization of POLE Mutations as Predictive Biomarkers of Response to Immune Checkpoint Inhibitors in Advanced Cancers. JCO Precis Oncol 2022; 6:e2100267. [PMID: 35108036 PMCID: PMC8820927 DOI: 10.1200/po.21.00267] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 11/16/2021] [Accepted: 12/28/2021] [Indexed: 12/12/2022] Open
Abstract
PURPOSE DNA polymerase epsilon is critical to DNA proofreading and replication. Mutations in POLE have been associated with hypermutated tumors and antitumor response to immune checkpoint inhibitor (ICI) therapy. We present a clinicopathologic analysis of patients with advanced cancers harboring POLE mutations, the pattern of co-occurring mutations, and their response to ICI therapy within the context of mutation pathogenicity. METHODS We conducted a retrospective analysis of next-generation sequencing data at MD Anderson Cancer Center to identify patient tumors with POLE mutations and their co-occurring mutations. The pathogenicity of each mutation was annotated using InterVar and ClinVar. Differences in therapeutic response to ICI, survival, and co-occurring mutations were reported by POLE pathogenicity status. RESULTS Four hundred fifty-eight patient tumors with POLE mutations were identified from 14,229 next-generation sequencing reports; 15.0% of POLE mutations were pathogenic, 15.9% benign, and 69.1% variant of unknown significance. Eighty-two patients received either programmed death 1 or programmed death ligand-1 inhibitors as monotherapy or in combination with cytotoxic T-cell lymphocyte-4 inhibitors. Patients with pathogenic POLE mutations had improved clinical benefit rate (82.4% v 30.0%; P = .013), median progression-free survival (15.1 v 2.2 months; P < .001), overall survival (29.5 v 6.8 months; P < .001), and longer treatment duration (median 15.5 v 2.5 months; P < .001) compared to those with benign variants. Progression-free survival and overall survival remained superior when adjusting for number of co-occurring mutations (≥ 10 v < 10) and/or microsatellite instability status (proficient mismatch repair v deficient mismatch repair). The number of comutations was not associated with response to ICI (clinical benefit v progressive disease: median 13 v 11 comutations; P = .18). CONCLUSION Pathogenic POLE mutations were associated with clinical benefit to ICI therapy. Further studies are warranted to validate POLE mutation as a predictive biomarker of ICI therapy.
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Affiliation(s)
- Benjamin Garmezy
- Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jinesh Gheeya
- The University of Texas Health Science Center at Houston, Houston, TX
| | - Heather Y. Lin
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Yuefan Huang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Taebeom Kim
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Xianli Jiang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Kyaw Z. Thein
- Department of Investigational Cancer Therapeutics (Phase I Clinical Trials Program), The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Patrick G. Pilié
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Fadl Zeineddine
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Wanlin Wang
- Department of Investigational Cancer Therapeutics (Phase I Clinical Trials Program), The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Kenna R. Shaw
- Khalifa Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jordi Rodon
- Department of Investigational Cancer Therapeutics (Phase I Clinical Trials Program), The University of Texas MD Anderson Cancer Center, Houston, TX
| | - John Paul Shen
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ying Yuan
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics (Phase I Clinical Trials Program), The University of Texas MD Anderson Cancer Center, Houston, TX
- Khalifa Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Timothy A. Yap
- Department of Investigational Cancer Therapeutics (Phase I Clinical Trials Program), The University of Texas MD Anderson Cancer Center, Houston, TX
- Khalifa Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX
- The Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX
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25
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Iseas S, Sendoya JM, Robbio J, Coraglio M, Kujaruk M, Mikolaitis V, Rizzolo M, Cabanne A, Ruiz G, Salanova R, Gualdrini U, Méndez G, Antelo M, Carballido M, Rotondaro C, Viglino J, Eleta M, Di Sibio A, Podhajcer OL, Roca E, Llera AS, Golubicki M, Abba MC. Prognostic Impact of An Integrative Landscape of Clinical, Immune, and Molecular Features in Non-Metastatic Rectal Cancer. Front Oncol 2022; 11:801880. [PMID: 35071006 PMCID: PMC8777220 DOI: 10.3389/fonc.2021.801880] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 12/08/2021] [Indexed: 12/12/2022] Open
Abstract
Rectal Cancer (RC) is a complex disease that involves highly variable treatment responses. Currently, there is a lack of reliable markers beyond TNM to deliver a personalized treatment in a cancer setting where the goal is a curative treatment. Here, we performed an integrated characterization of the predictive and prognostic role of clinical features, mismatch-repair deficiency markers, HER2, CDX2, PD-L1 expression, and CD3-CD8+ tumor-infiltrating lymphocytes (TILs) coupled with targeted DNA sequencing of 76 non-metastatic RC patients assigned to total mesorectal excision upfront (TME; n = 15) or neoadjuvant chemo-radiotherapy treatment (nCRT; n = 61) followed by TME. Eighty-two percent of RC cases displayed mutations affecting cancer driver genes such as TP53, APC, KRAS, ATM, and PIK3CA. Good response to nCRT treatment was observed in approximately 40% of the RC cases, and poor pathological tumor regression was significantly associated with worse disease-free survival (DFS, HR = 3.45; 95%CI = 1.14-10.4; p = 0.028). High neutrophils-platelets score (NPS) (OR = 10.52; 95%CI=1.34-82.6; p = 0.025) and KRAS mutated cases (OR = 5.49; 95%CI = 1.06-28.4; p = 0.042) were identified as independent predictive factors of poor response to nCRT treatment in a multivariate analysis. Furthermore, a Cox proportional-hazard model showed that the KRAS mutational status was an independent prognostic factor associated with higher risk of local recurrence (HR = 9.68; 95%CI = 1.01-93.2; p <0.05) and shorter DFS (HR = 2.55; 95%CI = 1.05-6.21; p <0.05), while high CEA serum levels were associated with poor DFS (HR = 2.63; 95%CI = 1.01-6.85; p <0.05). Integrated clinical and molecular-based unsupervised analysis allowed us to identify two RC prognostic groups (cluster 1 and cluster 2) associated with disease-specific OS (HR = 20.64; 95%CI = 2.63-162.2; p <0.0001), metastasis-free survival (HR = 3.67; 95%CI = 1.22-11; p = 0.012), local recurrence-free survival (HR = 3.34; 95%CI = 0.96-11.6; p = 0.043) and worse DFS (HR = 2.68; 95%CI = 1.18-6.06; p = 0.012). The worst prognosis cluster 2 was enriched by stage III high-risk clinical tumors, poor responders to nCRT, with low TILs density and high frequency of KRAS and TP53 mutated cases compared with the best prognosis cluster 1 (p <0.05). Overall, this study provides a comprehensive and integrated characterization of non-metastatic RC cases as a new insight to deliver a personalized therapeutic approach.
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Affiliation(s)
- Soledad Iseas
- Oncology Unit, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
| | - Juan M. Sendoya
- Laboratorio de Terapia Molecular y Celular, Genocan, Fundación Instituto Leloir, IIBBA (CONICET), Buenos Aires, Argentina
| | - Juan Robbio
- Oncology Unit, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
- Unidad de Investigación Traslacional, Laboratorio de Biología Molecular GENUIT, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
| | - Mariana Coraglio
- Proctology Unit, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
| | - Mirta Kujaruk
- Pathology Unit, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
| | - Vanesa Mikolaitis
- Pathology Unit, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
| | - Mariana Rizzolo
- Pathology Unit, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
| | - Ana Cabanne
- Pathology Unit, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
| | - Gonzalo Ruiz
- Biomakers Molecular Pathology and Research, Buenos Aires, Argentina
| | - Rubén Salanova
- Biomakers Molecular Pathology and Research, Buenos Aires, Argentina
| | - Ubaldo Gualdrini
- Proctology Unit, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
| | - Guillermo Méndez
- Oncology Unit, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
| | - Marina Antelo
- Oncology Unit, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
| | - Marcela Carballido
- Oncology Unit, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
| | - Cecilia Rotondaro
- Laboratorio de Terapia Molecular y Celular, Genocan, Fundación Instituto Leloir, IIBBA (CONICET), Buenos Aires, Argentina
| | - Julieta Viglino
- Laboratorio de Terapia Molecular y Celular, Genocan, Fundación Instituto Leloir, IIBBA (CONICET), Buenos Aires, Argentina
| | - Martín Eleta
- Imaxe Image Diagnosis Center, Buenos Aires, Argentina
| | | | - Osvaldo L. Podhajcer
- Laboratorio de Terapia Molecular y Celular, Genocan, Fundación Instituto Leloir, IIBBA (CONICET), Buenos Aires, Argentina
| | - Enrique Roca
- Oncology Unit, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
| | - Andrea S. Llera
- Laboratorio de Terapia Molecular y Celular, Genocan, Fundación Instituto Leloir, IIBBA (CONICET), Buenos Aires, Argentina
| | - Mariano Golubicki
- Oncology Unit, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
- Unidad de Investigación Traslacional, Laboratorio de Biología Molecular GENUIT, Gastroenterology Hospital “Dr. Carlos Bonorino Udaondo”, Buenos Aires, Argentina
| | - Martín Carlos Abba
- Basic and Applied Immunological Research Center, School of Medical Sciences, National University of La Plata, La Plata, Argentina
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26
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Furukawa K, Hatakeyama K, Terashima M, Nagashima T, Urakami K, Ohshima K, Notsu A, Sugino T, Yagi T, Fujiya K, Kamiya S, Hikage M, Tanizawa Y, Bando E, Kanai Y, Akiyama Y, Yamaguchi K. Molecular classification of gastric cancer predicts survival in patients undergoing radical gastrectomy based on project HOPE. Gastric Cancer 2022; 25:138-148. [PMID: 34476642 DOI: 10.1007/s10120-021-01242-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 08/23/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Gastric cancer (GC) has been classified based on molecular profiling like The Cancer Genome Atlas (TCGA) and Asian Cancer Research Group (ACRG), and attempts have been made to establish therapeutic strategies based on these classifications. However, it is difficult to predict the survival according to these classifications especially in radically resected patients. We aimed to establish a new molecular classification of GC which predicts the survival in patients undergoing radical gastrectomy. METHODS The present study included 499 Japanese patients with advanced GC undergoing radical (R0/R1) gastrectomy. Whole-exome sequencing, panel sequencing, and gene expression profiling were conducted (High-tech Omics-based Patient Evaluation [Project HOPE]). We classified patients according to TCGA and ACRG subtypes, and evaluated the clinicopathologic features and survival. Then, we attempted to classify patients according to their molecular profiles associated with biological features and survival (HOPE classification). RESULTS TCGA and ACRG classifications failed to predict the survival. In HOPE classification, hypermutated (HMT) tumors were selected first as a distinctive feature, and T-cell-inflamed expression signature-high (TCI) tumors were then extracted. Finally, the remaining tumors were divided by the epithelial-mesenchymal transition (EMT) expression signature. HOPE classification significantly predicted the disease-specific and overall survival (p < 0.001 and 0.020, respectively). HMT + TCI showed the best survival, while EMT-high showed the worst survival. The HOPE classification was successfully validated in the TCGA cohort. CONCLUSIONS We established a new molecular classification of gastric cancer that predicts the survival in patients undergoing radical surgery.
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Affiliation(s)
- Kenichiro Furukawa
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.,Department of Pathology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan
| | - Keiichi Hatakeyama
- Medical Genetics Division, Shizuoka Cancer Center Research Institute, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Masanori Terashima
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
| | - Takeshi Nagashima
- Cancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.,SRL Inc., Shinjuku Mitsui Building, 2-1-1 Nishishinjuku, Shinjuku, Tokyo, 163-0403, Japan
| | - Kenichi Urakami
- Cancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Keiichi Ohshima
- Medical Genetics Division, Shizuoka Cancer Center Research Institute, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Akifumi Notsu
- Clinical Research Center, Shizuoka Cancer Center Hospital, 1007 Shimonagakubo,Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Takashi Sugino
- Division of Pathology, Shizuoka Cancer Center Hospital, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Taisuke Yagi
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Keiichi Fujiya
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Satoshi Kamiya
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Makoto Hikage
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Yutaka Tanizawa
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Etsuro Bando
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Yae Kanai
- Department of Pathology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan
| | - Yasuto Akiyama
- Immunotheraphy Division, Shizuoka Cancer Center Research Institute, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Ken Yamaguchi
- Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
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27
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Bilal M, Raza SEA, Azam A, Graham S, Ilyas M, Cree IA, Snead D, Minhas F, Rajpoot NM. Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study. Lancet Digit Health 2021; 3:e763-e772. [PMID: 34686474 PMCID: PMC8609154 DOI: 10.1016/s2589-7500(21)00180-1] [Citation(s) in RCA: 112] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 07/01/2021] [Accepted: 08/05/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Determining the status of molecular pathways and key mutations in colorectal cancer is crucial for optimal therapeutic decision making. We therefore aimed to develop a novel deep learning pipeline to predict the status of key molecular pathways and mutations from whole-slide images of haematoxylin and eosin-stained colorectal cancer slides as an alternative to current tests. METHODS In this retrospective study, we used 502 diagnostic slides of primary colorectal tumours from 499 patients in The Cancer Genome Atlas colon and rectal cancer (TCGA-CRC-DX) cohort and developed a weakly supervised deep learning framework involving three separate convolutional neural network models. Whole-slide images were divided into equally sized tiles and model 1 (ResNet18) extracted tumour tiles from non-tumour tiles. These tumour tiles were inputted into model 2 (adapted ResNet34), trained by iterative draw and rank sampling to calculate a prediction score for each tile that represented the likelihood of a tile belonging to the molecular labels of high mutation density (vs low mutation density), microsatellite instability (vs microsatellite stability), chromosomal instability (vs genomic stability), CpG island methylator phenotype (CIMP)-high (vs CIMP-low), BRAFmut (vs BRAFWT), TP53mut (vs TP53WT), and KRASWT (vs KRASmut). These scores were used to identify the top-ranked titles from each slide, and model 3 (HoVer-Net) segmented and classified the different types of cell nuclei in these tiles. We calculated the area under the convex hull of the receiver operating characteristic curve (AUROC) as a model performance measure and compared our results with those of previously published methods. FINDINGS Our iterative draw and rank sampling method yielded mean AUROCs for the prediction of hypermutation (0·81 [SD 0·03] vs 0·71), microsatellite instability (0·86 [0·04] vs 0·74), chromosomal instability (0·83 [0·02] vs 0·73), BRAFmut (0·79 [0·01] vs 0·66), and TP53mut (0·73 [0·02] vs 0·64) in the TCGA-CRC-DX cohort that were higher than those from previously published methods, and an AUROC for KRASmut that was similar to previously reported methods (0·60 [SD 0·04] vs 0·60). Mean AUROC for predicting CIMP-high status was 0·79 (SD 0·05). We found high proportions of tumour-infiltrating lymphocytes and necrotic tumour cells to be associated with microsatellite instability, and high proportions of tumour-infiltrating lymphocytes and a low proportion of necrotic tumour cells to be associated with hypermutation. INTERPRETATION After large-scale validation, our proposed algorithm for predicting clinically important mutations and molecular pathways, such as microsatellite instability, in colorectal cancer could be used to stratify patients for targeted therapies with potentially lower costs and quicker turnaround times than sequencing-based or immunohistochemistry-based approaches. FUNDING The UK Medical Research Council.
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Affiliation(s)
- Mohsin Bilal
- Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK
| | - Shan E Ahmed Raza
- Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK
| | - Ayesha Azam
- Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK; Department of Pathology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Simon Graham
- Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK
| | - Mohammad Ilyas
- Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | - Ian A Cree
- International Agency for Research on Cancer, Lyon, France
| | - David Snead
- Department of Pathology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Fayyaz Minhas
- Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK
| | - Nasir M Rajpoot
- Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK; Department of Pathology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
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28
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Kole C, Charalampakis N, Tsakatikas S, Kouris NI, Papaxoinis G, Karamouzis MV, Koumarianou A, Schizas D. Immunotherapy for gastric cancer: a 2021 update. Immunotherapy 2021; 14:41-64. [PMID: 34784774 DOI: 10.2217/imt-2021-0103] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Gastric cancer, the fifth most frequent cancer and the fourth leading cause of cancer deaths, accounts for a devastating death rate worldwide. Since the majority of patients with gastric cancer are diagnosed at advanced stages, they are not suitable for surgery and present with locally advanced or metastatic disease. Recent advances in immunotherapy have elicited a considerable amount of attention as viable therapeutic options for several cancer types. This work presents a summary of the currently ongoing clinical trials and critically addresses the efficacy of a large spectrum of immunotherapy approaches in the general population for gastric cancer as well as in relation to tumor genetic profiling.
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Affiliation(s)
- Christo Kole
- First Department of Surgery, National & Kapodistrian University of Athens, Laikon General Hospital, Athens, 115 27, Greece
| | | | - Sergios Tsakatikas
- Department of Medical Oncology, Metaxa Cancer Hospital, Athens, 185 37, Greece
| | - Nikolaos-Iasonas Kouris
- First Department of Surgery, National & Kapodistrian University of Athens, Laikon General Hospital, Athens, 115 27, Greece
| | - George Papaxoinis
- Second Department of Medical Oncology, Agios Savas Anticancer Hospital, Athens, 115 22, Greece
| | - Michalis V Karamouzis
- Molecular Oncology Unit, Department of Biological Chemistry, National & Kapodistrian University of Athens, Athens, 115 27, Greece
| | - Anna Koumarianou
- Hematology Oncology Unit, Fourth Department of Internal Medicine, National & Kapodistrian University of Athens, Attikon University Hospital, Athens, 124 62, Greece
| | - Dimitrios Schizas
- First Department of Surgery, National & Kapodistrian University of Athens, Laikon General Hospital, Athens, 115 27, Greece
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29
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New Tools for Precision and Personalized Treatment in Gastrointestinal Cancers. GASTROINTESTINAL DISORDERS 2021. [DOI: 10.3390/gidisord3040019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Precision medicine aims at treating patients with the most tailored treatments based on individual biological and molecular features [...]
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30
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Yuza K, Nagahashi M, Ichikawa H, Hanyu T, Nakajima M, Shimada Y, Ishikawa T, Sakata J, Takeuchi S, Okuda S, Matsuda Y, Abe M, Sakimura K, Takabe K, Wakai T. Activin a Receptor Type 2A Mutation Affects the Tumor Biology of Microsatellite Instability-High Gastric Cancer. J Gastrointest Surg 2021; 25:2231-2241. [PMID: 33420656 PMCID: PMC8728635 DOI: 10.1007/s11605-020-04889-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 11/22/2020] [Indexed: 01/31/2023]
Abstract
BACKGROUND Activin A receptor type 2A (ACVR2A) is one of the most frequently mutated genes in microsatellite instability-high (MSI-H) gastric cancer. However, the clinical relevance of the ACVR2A mutation in MSI-H gastric cancer patients remains unclear. The aims of this study were to explore the effect of ACVR2A mutation on the tumor behavior and to identify the clinicopathological characteristics of gastric cancer patients with ACVR2A mutations. METHODS An in vitro study was performed to investigate the biological role of ACVR2A via CRISPR/Cas9-mediated ACVR2A knockout MKN74 human gastric cancer cells. One hundred twenty-four patients with gastric cancer were retrospectively analyzed, and relations between MSI status, ACVR2A mutations, and clinicopathological factors were evaluated. RESULTS ACVR2A knockout cells showed less aggressive tumor biology than mock-transfected cells, displaying reduced proliferation, migration, and invasion (P < 0.05). MSI mutations were found in 10% (13/124) of gastric cancer patients, and ACVR2A mutations were found in 8.1% (10/124) of patients. All ACVR2A mutations were accompanied by MSI. The 5-year overall survival rates of ACVR2A wild-type patients and ACVR2A-mutated patients were 57% and 90%, respectively (P = 0.048). Multivariate analysis revealed that older age (P = 0.015), distant metastasis (P < 0.001), and ACVR2A wild-type status (P = 0.040) were independent prognostic factors for overall survival. CONCLUSIONS Our study demonstrated that gastric cancer patients with ACVR2A mutation have a significantly better prognosis than those without. Dysfunction of ACVR2A in MKN74 human gastric cancer cells caused less aggressive tumor biology, indicating the importance of ACVR2A in the progression of MSI-H tumors.
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Affiliation(s)
- Kizuki Yuza
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan
| | - Masayuki Nagahashi
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan
| | - Hiroshi Ichikawa
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan
| | - Takaaki Hanyu
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan
| | - Masato Nakajima
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan
| | - Yoshifumi Shimada
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan
| | - Takashi Ishikawa
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan
| | - Jun Sakata
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan
| | - Shiho Takeuchi
- Division of Cancer Genome Informatics, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan,Division of Bioinformatics, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan
| | - Shujiro Okuda
- Division of Bioinformatics, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan
| | - Yasunobu Matsuda
- Department of Medical Technology, Niigata University Graduate School of Health Sciences, 2-746 Asahimachi-dori, Chuo-Ku, Niigata City, Niigata 951-8518, Japan
| | - Manabu Abe
- Department of Animal Model Development, Brain Research Institute, Niigata University, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8585, Japan
| | - Kenji Sakimura
- Department of Animal Model Development, Brain Research Institute, Niigata University, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8585, Japan
| | - Kazuaki Takabe
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan,Breast Surgery, Department of Surgical Oncology, Roswell Park Cancer Institute, Buffalo, NY 14263, USA,Department of Surgery, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, The State University of New York, Buffalo, NY 14263, USA
| | - Toshifumi Wakai
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan
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31
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Yuan H, Ji J, Shi M, Shi Y, Liu J, Wu J, Yang C, Xi W, Li Q, Zhu W, Li J, Gong X, Zhang J. Characteristics of Pan-Cancer Patients With Ultrahigh Tumor Mutation Burden. Front Oncol 2021; 11:682017. [PMID: 33968789 PMCID: PMC8100597 DOI: 10.3389/fonc.2021.682017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 04/06/2021] [Indexed: 12/31/2022] Open
Abstract
Background Tumor mutation burden has been proven to be a good predictor for the efficacy of immunotherapy, especially in patients with hypermutation. However, most research focused on the analysis of hypermutation in individual tumors, and there is a lack of integrated research on the hypermutation across different cancers. This study aimed to characterize hypermutated patients to distinguish between these patients and non-hypermutated patients. Methods A total of 5,980 tumor samples involving 23 types of solid tumors from the in-house database were included in the study. Based on the cutoff value of tumor mutation burden (TMB), all samples were divided into hypermutated or non-hypermutated groups. Microsatellite instability status, PD-L1 expression and other mutation-related indicators were analyzed. Results Among the 5,980 tumor samples, 1,164 were selected as samples with hypermutation. Compared with the non-hypermutated group, a significant increase in the mutation rates of DNA mismatch repair genes and polymerase genes was detected in the hypermutated group, and there was an overlap between high TMB and high microsatellite instability or high PD-L1. In addition, we found that EGFR, KRAS and PIK3CA had a high frequency of both single nucleotide variation and copy number variation mutations. These identified mutant genes were enriched in the oncogenic signaling pathway and the DNA damage repair pathway. At the same time, the somatic cell characteristics and distribution of the two groups were significantly different. Conclusions This study identified genetic and phenotypic characteristics of hypermutated tumors and demonstrated that DNA damage repair is critically involved in hypermutation.
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Affiliation(s)
- Hong Yuan
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Ji
- Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Shi
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Shi
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jing Liu
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Junwei Wu
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chen Yang
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenqi Xi
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qingyuan Li
- Genecast Biotechnology Co., Ltd, Wuxi, China
| | - Wei Zhu
- Genecast Biotechnology Co., Ltd, Wuxi, China
| | - Jingjie Li
- Genecast Biotechnology Co., Ltd, Wuxi, China
| | - Xiaoli Gong
- Genecast Biotechnology Co., Ltd, Wuxi, China
| | - Jun Zhang
- Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Shanghai Jiao Tong University, Shanghai, China
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Grunberg N, Pevsner-Fischer M, Goshen-Lago T, Diment J, Stein Y, Lavon H, Mayer S, Levi-Galibov O, Friedman G, Ofir-Birin Y, Syu LJ, Migliore C, Shimoni E, Stemmer SM, Brenner B, Dlugosz AA, Lyden D, Regev-Rudzki N, Ben-Aharon I, Scherz-Shouval R. Cancer-Associated Fibroblasts Promote Aggressive Gastric Cancer Phenotypes via Heat Shock Factor 1-Mediated Secretion of Extracellular Vesicles. Cancer Res 2021; 81:1639-1653. [PMID: 33547159 PMCID: PMC8337092 DOI: 10.1158/0008-5472.can-20-2756] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 12/22/2020] [Accepted: 02/01/2021] [Indexed: 12/11/2022]
Abstract
Gastric cancer is the third most lethal cancer worldwide, and evaluation of the genomic status of gastric cancer cells has not translated into effective prognostic or therapeutic strategies. We therefore hypothesize that outcomes may depend on the tumor microenvironment (TME), in particular, cancer-associated fibroblasts (CAF). However, very little is known about the role of CAFs in gastric cancer. To address this, we mapped the transcriptional landscape of human gastric cancer stroma by microdissection and RNA sequencing of CAFs from patients with gastric cancer. A stromal gene signature was associated with poor disease outcome, and the transcription factor heat shock factor 1 (HSF1) regulated the signature. HSF1 upregulated inhibin subunit beta A and thrombospondin 2, which were secreted in CAF-derived extracellular vesicles to the TME to promote cancer. Together, our work provides the first transcriptional map of human gastric cancer stroma and highlights HSF1 and its transcriptional targets as potential diagnostic and therapeutic targets in the genomically stable tumor microenvironment. SIGNIFICANCE: This study shows how HSF1 regulates a stromal transcriptional program associated with aggressive gastric cancer and identifies multiple proteins within this program as candidates for therapeutic intervention. GRAPHICAL ABSTRACT: http://cancerres.aacrjournals.org/content/canres/81/7/1639/F1.large.jpg.
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Affiliation(s)
- Nil Grunberg
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
| | | | - Tal Goshen-Lago
- Division of Oncology, Rambam Health Care Campus, Haifa, Israel
| | - Judith Diment
- Department of Pathology, Kaplan Medical Center, Rehovot, Israel
| | - Yaniv Stein
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
| | - Hagar Lavon
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
| | - Shimrit Mayer
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
| | - Oshrat Levi-Galibov
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
| | - Gil Friedman
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
| | - Yifat Ofir-Birin
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
| | - Li-Jyun Syu
- Department of Dermatology, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan
| | - Cristina Migliore
- University of Torino, Department of Oncology, Candiolo; Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Eyal Shimoni
- Department of Chemical Research Support, The Weizmann Institute of Science, Rehovot, Israel
| | - Salomon M Stemmer
- Institute of Oncology, Davidoff Cancer Center, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel
| | - Baruch Brenner
- Institute of Oncology, Davidoff Cancer Center, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel
| | - Andrzej A Dlugosz
- Department of Dermatology, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan
- Department of Cell & Developmental Biology, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan
| | - David Lyden
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medicine, New York, New York
| | - Neta Regev-Rudzki
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
| | - Irit Ben-Aharon
- Division of Oncology, Rambam Health Care Campus, Haifa, Israel
- Rappaport Faculty of Medicine, Technion, Haifa, Israel
| | - Ruth Scherz-Shouval
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel.
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Ghidini M, Petrillo A, Botticelli A, Trapani D, Parisi A, La Salvia A, Sajjadi E, Piciotti R, Fusco N, Khakoo S. How to Best Exploit Immunotherapeutics in Advanced Gastric Cancer: Between Biomarkers and Novel Cell-Based Approaches. J Clin Med 2021; 10:1412. [PMID: 33915839 PMCID: PMC8037391 DOI: 10.3390/jcm10071412] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 03/17/2021] [Accepted: 03/22/2021] [Indexed: 02/07/2023] Open
Abstract
Despite extensive research efforts, advanced gastric cancer still has a dismal prognosis with conventional treatment options. Immune checkpoint inhibitors have revolutionized the treatment landscape for many solid tumors. Amongst gastric cancer subtypes, tumors with microsatellite instability and Epstein Barr Virus positive tumors provide the strongest rationale for responding to immunotherapy. Various predictive biomarkers such as mismatch repair status, programmed death ligand 1 expression, tumor mutational burden, assessment of tumor infiltrating lymphocytes and circulating biomarkers have been evaluated. However, results have been inconsistent due to different methodologies and thresholds used. Clinical implementation therefore remains a challenge. The role of immune checkpoint inhibitors in gastric cancer is emerging with data from monotherapy in the heavily pre-treated population already available and studies in earlier disease settings with different combinatorial approaches in progress. Immune checkpoint inhibitor combinations with chemotherapy (CT), anti-angiogenics, tyrosine kinase inhibitors, anti-Her2 directed therapy, poly (ADP-ribose) polymerase inhibitors or dual checkpoint inhibitor strategies are being explored. Moreover, novel strategies including vaccines and CAR T cell therapy are also being trialed. Here we provide an update on predictive biomarkers for response to immunotherapy with an overview of their strengths and limitations. We discuss clinical trials that have been reported and trials in progress whilst providing an account of future steps needed to improve outcome in this lethal disease.
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Affiliation(s)
- Michele Ghidini
- Medical Oncology Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | | | - Andrea Botticelli
- Department of Clinical and Molecular Medicine, Sapienza University, 00189 Rome, Italy;
- Medical Oncology (B), Policlinico Umberto I, 00161 Rome, Italy
| | - Dario Trapani
- Division of Early Drug Development for innovative therapies, European Institute of Oncology, IRCCS, 20141 Milan, Italy;
| | - Alessandro Parisi
- Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy;
- Medical Oncology Unit, St. Salvatore Hospital, 67100 L’Aquila, Italy
| | - Anna La Salvia
- Department of Oncology, University Hospital 12 De Octubre, 28041 Madrid, Spain;
| | - Elham Sajjadi
- Division of Pathology, European Institute of Oncology, IRCCS, 20141 Milan, Italy; (E.S.); (R.P.); (N.F.)
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
| | - Roberto Piciotti
- Division of Pathology, European Institute of Oncology, IRCCS, 20141 Milan, Italy; (E.S.); (R.P.); (N.F.)
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
| | - Nicola Fusco
- Division of Pathology, European Institute of Oncology, IRCCS, 20141 Milan, Italy; (E.S.); (R.P.); (N.F.)
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
| | - Shelize Khakoo
- Department of Medicine, Royal Marsden Hospital, London and Surrey, Sutton SM25PT, UK;
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Sihag S, Ku GY, Tan KS, Nussenzweig S, Wu A, Janjigian YY, Jones DR, Molena D. Safety and feasibility of esophagectomy following combined immunotherapy and chemoradiotherapy for esophageal cancer. J Thorac Cardiovasc Surg 2021; 161:836-843.e1. [PMID: 33485662 PMCID: PMC7889638 DOI: 10.1016/j.jtcvs.2020.11.106] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 11/10/2020] [Accepted: 11/25/2020] [Indexed: 12/26/2022]
Abstract
OBJECTIVES We sought to determine the safety and feasibility of esophagectomy after neoadjuvant immunotherapy and chemoradiotherapy in clinical trial patients with locally advanced esophageal cancer. METHODS We retrospectively identified patients who were treated with neoadjuvant immunotherapy and chemoradiotherapy (n = 25) or chemoradiotherapy alone (n = 143) at our institution between 2017 and 2020. The primary end point was risk of 30-day major complications (Clavien-Dindo classification system grade ≥ 3), which was assessed between groups using a multivariable log-binomial regression model to obtain adjusted relative risk ratios. Secondary end points were interval to surgery, 30-day readmission rate, and 30-day mortality. RESULTS All included patients successfully completed neoadjuvant therapy and underwent esophagectomy with negative margins. Age, sex, performance status, clinical stage, histologic subtype, procedure type, and operative approach were similar between groups. Neoadjuvant immunotherapy was not associated with a statistically significantly increased risk of developing a major pulmonary (relative risk, 1.43; 95% confidence interval, 0.53-3.84; P = .5), anastomotic (relative risk, 1.34; 95% confidence interval, 0.45-3.94; P = .6), or other complication (relative risk, 1.29; 95% confidence interval, 0.26-6.28; P = .8). Median (interquartile range) interval to surgery was 54 days (47-61 days) in the immune checkpoint inhibitor group versus 53 days (47-66 days) in the control group (P = .6). Minimally invasive approaches were successful in 72% of cases, with only 1 conversion. Thirty-day mortality and readmission rates were 0% and 17%, respectively, in the immune checkpoint inhibitor group and 1.4% and 13%, respectively, in the control group. CONCLUSIONS On the basis of our preliminary experience, esophagectomy appears to be safe and feasible following combined neoadjuvant immunotherapy and standard chemoradiotherapy for locally advanced esophageal cancer.
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Affiliation(s)
- Smita Sihag
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Geoffrey Y Ku
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kay See Tan
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Samuel Nussenzweig
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Abraham Wu
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Yelena Y Janjigian
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David R Jones
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Daniela Molena
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
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Zhang Y, Shi X, Zhang J, Chen X, Zhang P, Liu A, Zhu T. A comprehensive analysis of somatic alterations in Chinese ovarian cancer patients. Sci Rep 2021; 11:387. [PMID: 33432021 PMCID: PMC7801677 DOI: 10.1038/s41598-020-79694-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 12/11/2020] [Indexed: 12/13/2022] Open
Abstract
Ovarian cancer is one of the most common cancers in women and is often diagnosed as advanced stage because of the subtle symptoms of early ovarian cancer. To identify the somatic alterations and new biomarkers for the diagnosis and targeted therapy of Chinese ovarian cancer patients, a total of 65 Chinese ovarian cancer patients were enrolled for detection of genomic alterations. The most commonly mutated genes in ovarian cancers were TP53 (86.15%, 56/65), NF1 (13.85%, 9/65), NOTCH3 (10.77%, 7/65), and TERT (10.77%, 7/65). Statistical analysis showed that TP53 and LRP1B mutations were associated with the age of patients, KRAS, TP53, and PTEN mutations were significantly associated with tumor differentiation, and MED12, LRP2, PIK3R2, CCNE1, and LRP1B mutations were significantly associated with high tumor mutational burden. The mutation frequencies of LRP2 and NTRK3 in metastatic ovarian cancers were higher than those in primary tumors, but the difference was not significant (P = 0.072, for both). Molecular characteristics of three patients responding to olapanib supported that BRCA mutation and HRD related mutations is the target of olaparib in platinum sensitive patients. In conclusion we identified the somatic alterations and suggested a group of potential biomarkers for Chinese ovarian cancer patients. Our study provided a basis for further exploration of diagnosis and molecular targeted therapy for Chinese ovarian cancer patients.
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Affiliation(s)
- Yingli Zhang
- Department of Gynecologic Oncology, Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Science, Hangzhou, People's Republic of China.,Department of Gynecological Surgery, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, People's Republic of China.,Department of Gynecological Surgery, Zhejiang Cancer Hospital, No 1, East Banshan Road, Gongshu District, Hangzhou, 310022, People's Republic of China
| | - Xiaoliang Shi
- OrigiMed Co. Ltd, Shanghai, 201114, People's Republic of China
| | - Jiejie Zhang
- Department of Gynecologic Oncology, Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Science, Hangzhou, People's Republic of China.,Department of Gynecological Surgery, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, People's Republic of China.,Department of Gynecological Surgery, Zhejiang Cancer Hospital, No 1, East Banshan Road, Gongshu District, Hangzhou, 310022, People's Republic of China
| | - Xi Chen
- Department of Gynecologic Oncology, Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Science, Hangzhou, People's Republic of China.,Department of Gynecological Surgery, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, People's Republic of China.,Department of Gynecological Surgery, Zhejiang Cancer Hospital, No 1, East Banshan Road, Gongshu District, Hangzhou, 310022, People's Republic of China
| | - Peng Zhang
- OrigiMed Co. Ltd, Shanghai, 201114, People's Republic of China
| | - Angen Liu
- OrigiMed Co. Ltd, Shanghai, 201114, People's Republic of China
| | - Tao Zhu
- Department of Gynecologic Oncology, Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Science, Hangzhou, People's Republic of China. .,Department of Gynecological Surgery, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, People's Republic of China. .,Department of Gynecological Surgery, Zhejiang Cancer Hospital, No 1, East Banshan Road, Gongshu District, Hangzhou, 310022, People's Republic of China.
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Bruni D, Angell HK, Galon J. The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy. Nat Rev Cancer 2020; 20:662-680. [PMID: 32753728 DOI: 10.1038/s41568-020-0285-7] [Citation(s) in RCA: 926] [Impact Index Per Article: 185.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/22/2020] [Indexed: 12/15/2022]
Abstract
The international American Joint Committee on Cancer/Union for International Cancer Control (AJCC/UICC) tumour-node-metastasis (TNM) staging system provides the current guidelines for the classification of cancer. However, among patients within the same stage, the clinical outcome can be very different. More recently, a novel definition of cancer has emerged, implicating at all stages a complex and dynamic interaction between tumour cells and the immune system. This has enabled the definition of the immune contexture, representing the pre-existing immune parameters associated with patient survival. Even so, the role of distinct immune cell types in modulating cancer progression is increasingly emerging. An immune-based assay named the 'Immunoscore' was defined to quantify the in situ T cell infiltrate and was demonstrated to be superior to the AJCC/UICC TNM classification for patients with colorectal cancer. This Review provides a broad overview of the main immune parameters positively or negatively shaping cancer development, including the Immunoscore, and their prognostic and predictive value. The importance of the immune system in cancer control is demonstrated by the requirement for a pre-existing intratumour adaptive immune response for effective immunotherapies, such as checkpoint inhibitors. Finally, we discuss how the combination of multiple immune parameters, rather than individual ones, might increase prognostic and/or predictive power.
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Affiliation(s)
- Daniela Bruni
- INSERM, Laboratory of Integrative Cancer Immunology; Équipe Labellisée Ligue Contre le Cancer; Sorbonne Université; Sorbonne Paris Cité; Université de Paris; Centre de Recherche des Cordeliers, Paris, France
| | - Helen K Angell
- Translational Medicine, Oncology R&D, AstraZeneca, Cambridge, UK
| | - Jérôme Galon
- INSERM, Laboratory of Integrative Cancer Immunology; Équipe Labellisée Ligue Contre le Cancer; Sorbonne Université; Sorbonne Paris Cité; Université de Paris; Centre de Recherche des Cordeliers, Paris, France.
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37
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Mismatch Repair System Genomic Scars in Gastroesophageal Cancers: Biology and Clinical Testing. GASTROINTESTINAL DISORDERS 2020. [DOI: 10.3390/gidisord2040031] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Alterations in the mismatch repair (MMR) system result in genomic instability, neoantigen production, and immune response in cancer. There is evidence that gastroesophageal tumors with MMR deficiency may be susceptible to immune-checkpoint inhibitors treatment, especially in those presenting at advanced-stage disease. Although a number of biomarkers have been developed in histology-agnostic settings to assess MMR status, there is evidence that a tumor-specific testing approach would improve the selection of patients for immunotherapy. However, no testing methods have been developed specifically for gastroesophageal cancers so far. Here, we discuss the state of the art, current advances, and future perspectives of MMR-related biomarkers’ biologic and clinical role in gastroesophageal cancers.
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Lenz HJ, Argiles G, Yoshino T, Tejpar S, Ciardiello F, Braunger J, Salnikov AV, Gabrielyan O, Schmid R, Höfler J, Kitzing T, Van Cutsem E. Association of Consensus Molecular Subtypes and Molecular Markers With Clinical Outcomes in Patients With Metastatic Colorectal Cancer: Biomarker Analyses From LUME-Colon 1. Clin Colorectal Cancer 2020; 20:84-95.e8. [PMID: 33041226 DOI: 10.1016/j.clcc.2020.09.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 08/21/2020] [Accepted: 09/07/2020] [Indexed: 12/11/2022]
Abstract
INTRODUCTION LUME-Colon 1 (NCT02149108) was a global, placebo-controlled phase III study of nintedanib in advanced colorectal cancer (CRC). Pre-specified biomarker analyses investigated the association of CRC consensus molecular subtypes (CMS) and tumor genomic and circulating biomarkers with clinical outcomes. MATERIALS AND METHODS Archival tumor tissue, cell-free DNA (cfDNA), and plasma samples were collected for genomic, transcriptomic, and proteomic analyses to investigate potential associations between CRC CMS and other biomarkers with nintedanib response and clinical outcomes. RESULTS Of the 765 treated patients, 735, 245, and 192 patient samples were analyzed in the circulating protein, tumor tissue, and cfDNA datasets, respectively. Patients were classified as CMS1 (1.7%), CMS2 (27.7%), CMS3 (0.9%), CMS4 (51.5%), or unclassified (18.2%). Unclassified/mixed CMS was associated with longer overall survival (OS) with nintedanib vs. CMS2 or CMS4 (interaction P-value = .0086); no association was observed for CMS4. Gene expression-based pathway analysis revealed an association between vascular endothelial growth factor-related signaling and OS for nintedanib (P = .0498). The most frequently detected somatic mutations were APC (72.0% [tumor tissue] vs. 56.8% [cfDNA]), TP53 (47.1% vs. 34.9%), KRAS (40.8% vs. 28.6%), and PIK3CA (16.6% vs. 11.5%); concordance rates were > 80%. Median OS differences were observed for APC and TP53 mutations vs. wild-type in cfDNA, indicating a potential prognostic value. Circulating ANG-2, CA-9, CEACAM1, collagen-IV, IGFBP-1, ICAM-1, IL-8, and uPAR were potentially prognostic for both OS and progression-free survival. CONCLUSION We demonstrated the feasibility of large-scale biomarker analyses and CMS classification within a global clinical trial, and identified signals suggesting a potential for greater nintedanib treatment response in the unclassified/mixed CMS subgroup, despite these tumors showing heterogeneous patterns of CMS mixtures. Our results revealed a high degree of concordance in somatic mutations between tumor tissue and cfDNA. Associations with prognosis for cfDNA somatic mutations, as well as several protein-based biomarkers, may warrant further investigation in future trials.
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Affiliation(s)
- Heinz-Josef Lenz
- University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA.
| | - Guillem Argiles
- Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Sabine Tejpar
- Digestive Oncology Unit and Centre for Human Genetics, UZ Leuven, Belgium; University Hospitals Leuven and KULeuven, Leuven, Belgium
| | - Fortunato Ciardiello
- Dipartimento di Internistica Clinica e Sperimentale, Università degli Studi della Campania Luigi Vanvitelli, Naples, Italy
| | - Jürgen Braunger
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | | | | | - Ramona Schmid
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | | | - Thomas Kitzing
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
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Wakai T, Nagahashi M, Shimada Y, Prasoon P, Sakata J. Genetic analysis in the clinical management of biliary tract cancer. Ann Gastroenterol Surg 2020; 4:316-323. [PMID: 32724874 PMCID: PMC7382432 DOI: 10.1002/ags3.12334] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 02/24/2020] [Accepted: 03/12/2020] [Indexed: 12/15/2022] Open
Abstract
Biliary tract cancer (BTC) is clinically and pathologically heterogeneous and responds inadequately to treatment. A small section of patients develop resectable disease, although the relapse rates are high; the benefits of adjuvant capecitabine chemotherapy for BTC are now understood, and gemcitabine-based combination chemotherapy is the first line of therapeutic strategy for BTC; however, alternative therapy for BTC is not known. Genomic profiling can provide detailed information regarding the carcinogenesis, identification, and therapy for BTC. Currently, confirmed restorative targets for BTC are lacking. In this review, we aimed to analyze the preclinical and clinical implications of a spectrum of genomic alterations associated with new potentially remedial targets. We focused on eight draggable genes for BTC, which were described as having evidence of therapeutic impact (evidence level 2A-3B) based on the clinical practice guidance for next-generation sequencing in cancer diagnosis and treatment; these include ERBB2, NTRK1, RNF43, CDK6, CDKN2B, FGFR2, IDH1, and IDH2. Moreover, some of the BTC present microsatellite instability, hypermutation, and germline variants, which we also reviewed. Finally, we discussed the therapeutic options based on the next-generation sequencing findings in BTC. Studies have demonstrated that BTC includes subgroups with individually distinct driver mutations, most of which will be targeted with new treatment plans.
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Affiliation(s)
- Toshifumi Wakai
- Division of Digestive and General SurgeryNiigata University Graduate School of Medical and Dental SciencesNiigataJapan
| | - Masayuki Nagahashi
- Division of Digestive and General SurgeryNiigata University Graduate School of Medical and Dental SciencesNiigataJapan
| | - Yoshifumi Shimada
- Division of Digestive and General SurgeryNiigata University Graduate School of Medical and Dental SciencesNiigataJapan
| | - Pankaj Prasoon
- Division of Digestive and General SurgeryNiigata University Graduate School of Medical and Dental SciencesNiigataJapan
| | - Jun Sakata
- Division of Digestive and General SurgeryNiigata University Graduate School of Medical and Dental SciencesNiigataJapan
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B-cell acute lymphoblastic leukemia with high mutation burden presenting in a child with constitutional mismatch repair deficiency. Blood Adv 2020; 3:1795-1798. [PMID: 31189528 DOI: 10.1182/bloodadvances.2019000358] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 05/15/2019] [Indexed: 12/21/2022] Open
Abstract
Key Points
Constitutional mismatch repair deficiency syndrome should be considered in children with acute leukemia and characteristic skin lesions. The high mutation burden of CMMRD-related cancers contributes to treatment resistance, necessitating individualized treatment strategies.
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Kim JW, Cho SY, Chae J, Kim JW, Kim TY, Lee KW, Oh DY, Bang YJ, Im SA. Adjuvant Chemotherapy in Microsatellite Instability-High Gastric Cancer. Cancer Res Treat 2020; 52:1178-1187. [PMID: 32599979 PMCID: PMC7577821 DOI: 10.4143/crt.2020.313] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 06/10/2020] [Indexed: 02/06/2023] Open
Abstract
PURPOSE Microsatellite instability (MSI) status may affect the efficacy of adjuvant chemotherapy in gastric cancer. In this study, the clinical characteristics of MSI-high (MSI-H) gastric cancer and the predictive value of MSI-H for adjuvant chemotherapy in large cohorts of gastric cancer patients were evaluated. Material and Methods This study consisted of two cohorts. Cohort 1 included gastric cancer patients who received curative resection with pathologic stage IB-IIIC. Cohort 2 included patients with MSI-H gastric cancer who received curative resection with pathologic stage II/III. MSI was examined using two mononucleotide markers and three dinucleotide markers. RESULTS Of 359 patients (cohort 1), 41 patients (11.4%) had MSI-H. MSI-H tumors were more frequently identified in older patients (p < 0.001), other histology than poorly cohesive, signet ring cell type (p=0.005), intestinal type (p=0.028), lower third tumor location (p=0.005), and absent perineural invasion (p=0.027). MSI-H status has a tendency of better disease-free survival (DFS) and overall survival (OS) in multivariable analyses (hazard ratio [HR], 0.4; p=0.059 and HR, 0.4; p=0.063, respectively). In the analysis of 162 MSI-H patients (cohort 2), adjuvant chemotherapy showed a significant benefit with respect to longer DFS and OS (p=0.047 and p=0.043, respectively). In multivariable analysis, adjuvant chemotherapy improved DFS (HR, 0.4; p=0.040). CONCLUSION MSI-H gastric cancer had distinct clinicopathologic findings. Even in MSI-H gastric cancer of retrospective cohort, adjuvant chemotherapy could show a survival benefit, which was in contrast to previous prospective studies and should be investigated in a further prospective trial.
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Affiliation(s)
- Jin Won Kim
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Sung-Yup Cho
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Jeesoo Chae
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Ji-Won Kim
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Tae-Yong Kim
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.,Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Keun-Wook Lee
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Do-Youn Oh
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.,Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Yung-Jue Bang
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.,Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Seock-Ah Im
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.,Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
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van Velzen MJM, Derks S, van Grieken NCT, Haj Mohammad N, van Laarhoven HWM. MSI as a predictive factor for treatment outcome of gastroesophageal adenocarcinoma. Cancer Treat Rev 2020; 86:102024. [PMID: 32388292 DOI: 10.1016/j.ctrv.2020.102024] [Citation(s) in RCA: 94] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 04/22/2020] [Accepted: 04/23/2020] [Indexed: 02/06/2023]
Abstract
Gastroesophageal cancers are a major cause of death worldwide and treatment outcomes remain poor. Adequate predictive biomarkers have not been identified. Microsatellite instability (MSI) as a result of mismatch repair deficiency is present in four to twenty percent of gastroesophageal cancers and has been associated with favorable survival outcomes compared to microsatellite stable tumors. This prognostic advantage may be related to immunosurveillance, which may also explain the favorable response to immune checkpoint inhibition observed in MSI high (MSI-H) tumors. The value of conventional cytotoxic treatment in MSI-H tumors is unclear and results on its efficacy range from detrimental to beneficial effects. Here the recent data on MSI as a predictive factor for outcome of gastroesophageal cancer treatment is reviewed.
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Affiliation(s)
- M J M van Velzen
- Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
| | - S Derks
- Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam University Medical Centers, VU University, Amsterdam, the Netherlands(1)
| | - N C T van Grieken
- Department of Pathology, Cancer Center Amsterdam, Amsterdam University Medical Centers, VU University, Amsterdam, the Netherlands
| | - N Haj Mohammad
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - H W M van Laarhoven
- Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
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43
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Tian W, Hu W, Shi X, Liu P, Ma X, Zhao W, Qu L, Zhang S, Shi W, Liu A, Cao J. Comprehensive genomic profile of cholangiocarcinomas in China. Oncol Lett 2020; 19:3101-3110. [PMID: 32256810 PMCID: PMC7074170 DOI: 10.3892/ol.2020.11429] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 10/25/2019] [Indexed: 02/06/2023] Open
Abstract
Cholangiocarcinoma (CCA) is a primary malignancy, which is often diagnosed as locally advanced or metastatic. Previous studies have revealed genomic characteristics of CCA in Western patients, however comprehensive genomic features of CCA in Chinese patients have not been well understood. To explore the specific genomic characteristics of Chinese patients with CCA, a total of 66 patients with CCA, including 44 intrahepatic CCA (iCCA) and 22 extrahepatic CCA (exCCA) cases, were studied. The most commonly altered genes in CCAs were TP53 (62.12%, 41/66), KRAS (36.36%, 24/66), SMAD4 (24.24%, 16/66), TERT (21.21%, 14/66), ARID1A (19.70%, 13/66), CDKN2A (19.70%, 13/66), KMT2C (9.09%, 6/66) and RBM10 (9.09%, 6/66), ERBB2 (7.58%, 5/66) and BRAF (7.58%, 5/66). Many gene mutations, including STK11, CCND1 and FGF19, were only found in iCCA. RBM10 mutations were found to be significantly higher in exCCA. The gene mutations of neurofibromin 1, STK11, CCND1 and FBXW7 specifically occurred in males, whereas gene mutations of ERBB2, AXIN2 and CREBBP specifically occurred in females. ERBB2 mutations were significantly associated with the sex of patients with CCA. Mutations in PIK3CA, FGFR2 and ZNF750 were significantly associated with the age of patients with CCA and TERT mutations were significantly associated with tumor differentiation. Alterations in KMT2C, PBRM1, AXIN2, MAGI2, BRCA2 and SPTA1 were associated with tumor mutational burden. The findings of the present study suggest that targeted sequencing, using next-generation sequencing technology, provides comprehensive and accurate information on genomic alterations, which will provide novel potential biomarkers for the diagnosis of CCA and may guide precise therapeutic strategies for Chinese patients with CCA.
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Affiliation(s)
- Weijun Tian
- Department of General Surgery, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Weiyu Hu
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, P.R. China
| | | | - Peng Liu
- Department of General Surgery, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Xiang Ma
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, P.R. China
| | - Wei Zhao
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, P.R. China
| | - Linlin Qu
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, P.R. China
| | | | - Weiwei Shi
- Origimed Co. Ltd, Shanghai 201114, P.R. China
| | - Angen Liu
- Origimed Co. Ltd, Shanghai 201114, P.R. China
| | - Jingyu Cao
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, P.R. China
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Liu X, Choi MG, Kim K, Kim KM, Kim ST, Park SH, Cristescu R, Peter S, Lee J. High PD-L1 expression in gastric cancer (GC) patients and correlation with molecular features. Pathol Res Pract 2020; 216:152881. [PMID: 32089413 DOI: 10.1016/j.prp.2020.152881] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 01/25/2020] [Accepted: 02/12/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND The programmed death receptor ligand 1 (PD-L1) immunohistochemistry (IHC) 22C3 pharmDx assay is a widely used selection method for pembrolizumab treatment in gastric cancer (GC) patients, especially in the U.S. The present study investigated the relationship between PD-L1 expression and the clinical features, molecular markers, and molecular subtypes of GC. METHODS PD-L1 expression was assessed based on combined positive score (CPS) using PD-L1 IHC 22C3 pharmDx in the Asian Cancer Research Group (ACRG) GC cohort (N = 300), which has been previously genomically profiled. PD-L1 positivity was defined as PD-L1 CPS ≥ 1. The association between PD-L1 expression and clinical features, tumor burden, and molecular subtypes (ACRG and The Cancer Genome Atlas [TCGA]) was analyzed. RESULTS Of the 300 tumors, 178 (59.3 %) had PD-L1 CPS ≥ 1 and 122 (40.7 %) had PD-L1 CPS < 1. PD-L1 CPS ≥ 1 was significantly associated with stage I tumor (P = 0.022), high microsatellite instability (MSI-H) (P < 0.001), Epstein-Barr virus (EBV) positivity (P = 0.008), and positive Helicobacter pylori status (P = 0.001). PD-L1 CPS ≥ 1 was observed in 96/193 (49.7 %) EBV-negative/microsatellite stable (MSS) tumors. In gene expression profiling, PD-L1 CPS was highly correlated with mutational load (P < 0.001) as well as EBV (P < 0.001) and MSI subtypes (P < 0.001); 27/300 (9%) GC patients had a very high PD-L1 (≥ 20) score (MSI-H, n = 10; EBV, n = 6; and non-EBV/MSS, n = 11). OS was longer in patients with PD-L1 CPS ≥ 1 tumors than in those with PD-L1 CPS < 1 tumors (median OS not reached vs. 40 months; P = 0.008; log-rank test). CONCLUSIONS PD-L1 is expressed in 59.3 % of GC patients and is associated with MSI and EBV positivity. These results provide a basis for identifying GC patients who may benefit from anti-PD-1/PD-L1 therapy.
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Affiliation(s)
- Xiaoqiao Liu
- Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, NJ, 07033, USA.
| | - Min Gew Choi
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Republic of Korea.
| | - Kyung Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Republic of Korea.
| | - Kyoung-Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Republic of Korea.
| | - Seung Tae Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Republic of Korea.
| | - Se Hoon Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Republic of Korea.
| | - Razvan Cristescu
- Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, NJ, 07033, USA.
| | - Senaka Peter
- Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, NJ, 07033, USA.
| | - Jeeyun Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, Republic of Korea.
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45
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Takahashi H, Asaoka M, Yan L, Rashid OM, Oshi M, Ishikawa T, Nagahashi M, Takabe K. Biologically Aggressive Phenotype and Anti-cancer Immunity Counterbalance in Breast Cancer with High Mutation Rate. Sci Rep 2020; 10:1852. [PMID: 32024876 PMCID: PMC7002588 DOI: 10.1038/s41598-020-58995-4] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 01/23/2020] [Indexed: 12/22/2022] Open
Abstract
While cancer cells gain aggressiveness by mutations, abundant mutations release neoantigens, attracting anti-cancer immune cells. We hypothesized that in breast cancer (BC), where mutation is less common, tumors with high mutation rates demonstrate aggressive phenotypes and attract immune cells simultaneously. High mutation rates were defined as the top 10% of the mutation rate, utilizing TCGA and METABRIC transcriptomic data. Mutation rate did not impact survival although high mutation BCs were associated with aggressive clinical features, such as more frequent in ER-negative tumors (p < 0.01), in triple-negative subtype (p = 0.03), and increased MKI-67 mRNA expression (p < 0.01) in both cohorts. Tumors with high mutation rates were associated with APOBEC3B and homologous recombination deficiency, increasing neoantigen loads (all p < 0.01). Cell proliferation and immune activity pathways were enriched in BCs with high mutation rates. Furthermore, there were higher lymphocytes and M1 macrophage infiltration in high mutation BCs. Additionally, T-cell receptor diversity, cytolytic activity score (CYT), and T-cell exhaustion marker expression were significantly elevated in BCs with high mutation rates (all p < 0.01), indicating strong immunogenicity. In conclusion, enhanced immunity due to neoantigens can be one of possible forces to counterbalance aggressiveness of a high mutation rate, resulting in similar survival rates to low mutation BCs.
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Affiliation(s)
- Hideo Takahashi
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Mariko Asaoka
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Li Yan
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Omar M Rashid
- Department of Surgical Oncology, Holy Cross Hospital, Trinity Health, Ft Lauderdale, FL, USA.,Department of Surgery, Massachusetts General Hospital, Boston, MA, USA.,University of Miami Miller School of Medicine, Miami, FL, USA
| | - Masanori Oshi
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Takashi Ishikawa
- Department of Breast Surgery and Oncology, Tokyo Medical University, Tokyo, Japan
| | - Masayuki Nagahashi
- Department of Surgery, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Kazuaki Takabe
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA. .,Department of Breast Surgery and Oncology, Tokyo Medical University, Tokyo, Japan. .,Department of Surgery, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan. .,Department of Surgery, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, the State University of New York, Buffalo, NY, USA. .,Department of Surgery, Yokohama City University, Yokohama, Japan.
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46
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Leman JKH, Munoz-Erazo L, Kemp RA. The Intestinal Tumour Microenvironment. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1226:1-22. [PMID: 32030672 DOI: 10.1007/978-3-030-36214-0_1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The tumour microenvironment (TME) of intestinal tumours is highly complex and comprises a network of stromal cells, tumour cells, immune cells and fibroblasts, as well as microorganisms. The tumour location, environmental factors and the tumour cells themselves influence the cells within the TME. Immune cells can destroy tumour cells and are associated with better patient prognosis and response to therapy; however, immune cells are highly plastic and easily influenced to instead promote tumour growth. The interaction between local immune cells and the microbiome can lead to progression or regression of intestinal tumours. In this chapter, we will discuss how tumour development and progression can influence, and be influenced by, the microenvironment surrounding it, focusing on immune and fibroblastic cells, and the intestinal microbiota, particularly in the context of colorectal cancer.
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Affiliation(s)
- J K H Leman
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - L Munoz-Erazo
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.,Maurice Wilkins Centre for Biodiscovery, Auckland, New Zealand
| | - R A Kemp
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.
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47
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Amary F, Perez-Casanova L, Ye H, Cottone L, Strobl AC, Cool P, Miranda E, Berisha F, Aston W, Rocha M, O'Donnell P, Pillay N, Tirabosco R, Baumhoer D, Hookway ES, Flanagan AM. Synovial chondromatosis and soft tissue chondroma: extraosseous cartilaginous tumor defined by FN1 gene rearrangement. Mod Pathol 2019; 32:1762-1771. [PMID: 31273315 PMCID: PMC6882679 DOI: 10.1038/s41379-019-0315-8] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Revised: 06/04/2019] [Accepted: 06/04/2019] [Indexed: 12/21/2022]
Abstract
A fusion between fibronectin 1 (FN1) and activin receptor 2A (ACVR2A) has been reported previously in isolated cases of the synovial chondromatosis. To analyze further and validate the findings, we performed FISH and demonstrated recurrent FN1-ACVR2A rearrangements in synovial chondromatosis (57%), and chondrosarcoma secondary to synovial chondromatosis (75%), showing that FN1 and/or AVCR2A gene rearrangements do not distinguish between benign and malignant synovial chondromatosis. RNA sequencing revealed the presence of the FN1-ACVR2A fusion in several cases that were negative by FISH suggesting that the true prevalence of this fusion is potentially higher than 57%. In soft tissue chondromas, FN1 alterations were detected by FISH in 50% of cases but no ACVR2A alterations were identified. RNA sequencing identified a fusion involving FN1 and fibroblast growth factor receptor 2 (FGFR2) in the case of soft tissue chondroma and FISH confirmed recurrent involvement of both FGFR1 and FGFR2. These fusions were present in a subset of soft tissue chondromas characterized by grungy calcification, a feature reminiscent of phosphaturic mesenchymal tumor. However, unlike the latter, fibroblast growth factor 23 (FGF23) mRNA expression was not elevated in soft tissue chondromas harboring the FN1-FGFR1 fusion. The mutual exclusivity of ACVR2A rearrangements observed in synovial chondromatosis and FGFR1/2 in soft tissue chondromas suggests these represent separate entities. There have been no reports of malignant soft tissue chondromas, therefore differentiating these lesions will potentially alter clinical management by allowing soft tissue chondromas to be managed more conservatively.
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Affiliation(s)
- Fernanda Amary
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
| | - Luis Perez-Casanova
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
| | - Hongtao Ye
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
| | - Lucia Cottone
- Cancer Institute, 72 Huntley Street, University College London, London, WC1E 6BT, UK
| | | | - Paul Cool
- The Robert Jones and Agnes Hunt Orthopaedic Hospital NHS Foundation Trust, Oswestry, SY10 7AG, UK
| | - Elena Miranda
- Cancer Institute, 72 Huntley Street, University College London, London, WC1E 6BT, UK
| | - Fitim Berisha
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
| | - William Aston
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
| | - Maia Rocha
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
- Cancer Institute, 72 Huntley Street, University College London, London, WC1E 6BT, UK
| | - Paul O'Donnell
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
| | - Nischalan Pillay
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
- Cancer Institute, 72 Huntley Street, University College London, London, WC1E 6BT, UK
| | - Roberto Tirabosco
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
| | - Daniel Baumhoer
- Bone Tumor Reference Center, Institute of Pathology, University Hospital Basel, Basel, Switzerland
| | - Edward S Hookway
- Cancer Institute, 72 Huntley Street, University College London, London, WC1E 6BT, UK.
| | - Adrienne M Flanagan
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK.
- Cancer Institute, 72 Huntley Street, University College London, London, WC1E 6BT, UK.
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48
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Agaram NP, Zhang L, Dickson BC, Swanson D, Sung YS, Panicek DM, Hameed M, Healey JH, Antonescu CR. A molecular study of synovial chondromatosis. Genes Chromosomes Cancer 2019; 59:144-151. [PMID: 31589790 DOI: 10.1002/gcc.22812] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 09/25/2019] [Accepted: 09/26/2019] [Indexed: 12/13/2022] Open
Abstract
Synovial chondromatosis (SC) is a rare benign cartilaginous neoplasm in which recurrent fibronectin 1 (FN1) and activin receptor 2A (ACVR2A) gene rearrangements have been recently reported. Triggered by a case of malignant transformation in SC (synovial chondrosarcoma) showing a novel KMT2A-BCOR gene fusion by targeted RNA sequencing, we sought to evaluate the molecular abnormalities in a cohort of 27 SC cases using a combined methodology of fluorescence in situ hybridization (FISH) and/or targeted RNA sequencing. Results showed that FN1 and /or ACVR2A gene rearrangements were noted in 18 cases (67%), with an FN1-ACVR2A fusion being confirmed in 15 (56%) cases. Two cases showed only FN1 gene rearrangement, without other abnormalities. A novel FN1-NFATc2 gene fusion was noted in one case by RNA sequencing. The remaining nine cases showed no abnormalities in FN1 and ACVR2A genes. No additional cases showed BCOR gene alterations. In conclusion, this study confirms that FN1-ACVR2A fusion is the leading pathogenetic event in SC, at even higher frequency than previously reported. FISH methodology emerges as an appropriate tool in the identification of FN1 and ACVR2A gene abnormalities, which can be used in challenging cases. Further studies are needed to determine the recurrent potential of BCOR abnormalities in this disease.
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Affiliation(s)
- Narasimhan P Agaram
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lei Zhang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Brendan C Dickson
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - David Swanson
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Yun-Shao Sung
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David M Panicek
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Meera Hameed
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - John H Healey
- Orthopaedic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Cristina R Antonescu
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
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49
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Filippi R, Lombardi P, Quarà V, Fenocchio E, Aimar G, Milanesio M, Leone F, Aglietta M. Pharmacotherapeutic options for biliary tract cancer: current standard of care and new perspectives. Expert Opin Pharmacother 2019; 20:2121-2137. [PMID: 31550186 DOI: 10.1080/14656566.2019.1667335] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Introduction: Biliary tract cancer (BTC), which comprises gallbladder cancer, ampullary cancer, and cholangiocarcinoma, is a rare and heterogeneous entity, with limited approved therapeutic options. However, interest in this disease has grown exponentially in recent years, as a mounting body of evidence has shed light on the complex molecular and microenvironmental background of BTC, and clinical investigations have explored a variety of new agents and combinations, with promising results.Areas covered: This review describes the standard of care in advanced BTC and summarizes the most recent evidence available on the pharmacological treatment of resected and advanced disease, focusing on chemotherapy, targeted therapy, and immunotherapy.Expert opinion: The therapeutic armamentarium of BTC has made radical progress after almost a decade of very few positive results. Phase-III evidence now supports the use of adjuvant capecitabine after resection of localized disease, while investigations into improved regimens in the advanced setting are underway, exploring alternative options to the standard gemcitabine-cisplatin doublet. The first positive phase-III trial supports the use of the mFOLFOX6 regimen as a second-line chemotherapy. Targeted therapy against specific genomic alterations can combine with chemotherapy in specific subsets of patients. Despite recent advancements, conducting clinical trials for BTC is still a real challenge.
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Affiliation(s)
- Roberto Filippi
- Department of Oncology, University of Turin, Candiolo, Italy.,Department of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Pasquale Lombardi
- Department of Oncology, University of Turin, Candiolo, Italy.,Department of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Virginia Quarà
- Department of Oncology, University of Turin, Candiolo, Italy.,Department of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Elisabetta Fenocchio
- Multidisciplinary Outpatient Oncology Clinic, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Giacomo Aimar
- Department of Oncology, University of Turin, Candiolo, Italy.,Department of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Michela Milanesio
- Department of Oncology, University of Turin, Candiolo, Italy.,Department of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Francesco Leone
- Medical Oncology, Ospedale degli Infermi, Azienda Sanitaria Locale di Biella, Biella, Italy
| | - Massimo Aglietta
- Department of Oncology, University of Turin, Candiolo, Italy.,Department of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
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50
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Detecting genetic hypermutability of gastrointestinal tumor by using a forensic STR kit. Front Med 2019; 14:101-111. [PMID: 31368030 DOI: 10.1007/s11684-019-0698-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 04/13/2019] [Indexed: 12/11/2022]
Abstract
Growing evidence suggests that somatic hypermutational status and programmed cell death-1 overexpression are potential predictive biomarkers indicating treatment benefits from immunotherapy using immune checkpoint inhibitors. However, biomarker-matched trials are still limited, and many of the genomic alterations remain difficult to target. To isolate the potential somatic hypermutational tumor from microsatellite instability low/microsatellite stability (MSI-L/MSS) cases, we employed two commercial kits to determine MSI and forensic short tandem repeat (STR) alternations in 250 gastrointestinal (GI) tumors. Three types of forensic STR alternations, namely, allelic loss, Aadd, and Anew, were identified. 62.4% (156/250) of the patients with GI exhibited STR alternation, including 100% (15/15) and 60% (141/235) of the microsatellite high instability and MSI-L/MSS cases, respectively. 30% (75/250) of the patients exhibited STR instability with more than 26.32% (26.32%-84.21%) STR alternation. The cutoff with 26.32% of the STR alternations covered all 15 MSI cases and suggested that it might be a potential threshold. Given the similar mechanism of the mutations of MSI and forensic STR, the widely used forensic identifier STR kit might provide potential usage for identifying hypermutational status in GI cancers.
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