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Fu X, Huang J, Fan X, Wang C, Deng W, Tan X, Chen Z, Cai Y, Hanjie L, Xu L, Zou J, Zhan H, Huang S, Fang Y, Huang Y. Head-to-head comparative study: evaluating three panels for MSI-PCR testing in patients with colorectal and gastric cancer. J Clin Pathol 2024; 77:683-689. [PMID: 38053280 DOI: 10.1136/jcp-2023-209089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 11/15/2023] [Indexed: 12/07/2023]
Abstract
AIMS Due to the lack of large clinical cohorts in the Chinese populations with colorectal cancer (CRC) and gastric cancer (GC), there is no consensus among the preferred panel for microsatellite instability (MSI)-PCR testing. This study aims to evaluate a more appropriate panel. METHODS We tested the MSI status of 2572 patients with CRC and GC using the NCI panel and 2 mononucleotide panels (5 and 6 mononucleotide panels). Immunohistochemistry (IHC) was employed to perform mismatch repair protein testing in 1976 samples. RESULTS We collected 2572 patients with CRC and GC. The National Cancer Institute (NCI) panel failed to detect 13 cases. Of the 2559 cases that received results from all three panels, 2544 showed consistent results. In the remaining 15 cases, 9 showed discrepancies between MSI-H and MSI-L, and 6 showed discrepancies between MSI-L and microsatellite stability (MSS). The misdiagnosis rate of MSI-L was significantly lower in two mononucleotide panels than in the NCI panel (12.5% vs 87.5%, p=0.010) in CRC. In patients with GC, only the NCI panel detected three MSI-L cases, while the results of the two mononucleotide panels were one MSI-H and two MSS. Based on their IHC results, the MSI-L misdiagnosis rate of the NCI panel was 33.3%. Furthermore, compared with two mononucleotide panels, the NCI panel had a much lower rate of all loci instability in CRC (90.8% and 90.3% vs 25.2%) and GC (89.5% and 89.5% vs 12.0%). CONCLUSION In Chinese patients with CRC and GC, the five and six mononucleotide panels have advantages for detecting MSI over the NCI panel.
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Affiliation(s)
- Xinhui Fu
- Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jinglin Huang
- Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xinjuan Fan
- Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chao Wang
- Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Weihao Deng
- Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiaoli Tan
- Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhiting Chen
- Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yacheng Cai
- Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Lin Hanjie
- Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Liang Xu
- Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jiaxin Zou
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Huanmiao Zhan
- Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shuhui Huang
- Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yongzhen Fang
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yan Huang
- Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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2
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Martin S, Katainen R, Taira A, Välimäki N, Ristimäki A, Seppälä T, Renkonen-Sinisalo L, Lepistö A, Tahkola K, Mattila A, Koskensalo S, Mecklin JP, Rajamäki K, Palin K, Aaltonen LA. Lynch syndrome-associated and sporadic microsatellite unstable colorectal cancers: different patterns of clonal evolution yield highly similar tumours. Hum Mol Genet 2024:ddae124. [PMID: 39180486 DOI: 10.1093/hmg/ddae124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 07/22/2024] [Accepted: 08/13/2024] [Indexed: 08/26/2024] Open
Abstract
Microsatellite unstable colorectal cancer (MSI-CRC) can arise through germline mutations in mismatch repair (MMR) genes in individuals with Lynch syndrome (LS), or sporadically through promoter methylation of the MMR gene MLH1. Despite the different origins of hereditary and sporadic MSI tumours, their genomic features have not been extensively compared. A prominent feature of MMR-deficient genomes is the occurrence of many indels in short repeat sequences, an understudied mutation type due to the technical challenges of variant calling in these regions. In this study, we performed whole genome sequencing and RNA-sequencing on 29 sporadic and 14 hereditary MSI-CRCs. We compared the tumour groups by analysing genome-wide mutation densities, microsatellite repeat indels, recurrent protein-coding variants, signatures of single base, doublet base, and indel mutations, and changes in gene expression. We show that the mutational landscapes of hereditary and sporadic MSI-CRCs, including mutational signatures and mutation densities genome-wide and in microsatellites, are highly similar. Only a low number of differentially expressed genes were found, enriched to interferon-γ regulated immune response pathways. Analysis of the variance in allelic fractions of somatic variants in each tumour group revealed higher clonal heterogeneity in sporadic MSI-CRCs. Our results suggest that the differing molecular origins of MMR deficiency in hereditary and sporadic MSI-CRCs do not result in substantial differences in the mutational landscapes of these tumours. The divergent patterns of clonal evolution between the tumour groups may have clinical implications, as high clonal heterogeneity has been associated with decreased tumour immunosurveillance and reduced responsiveness to immunotherapy.
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Affiliation(s)
- Samantha Martin
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Riku Katainen
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Aurora Taira
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Niko Välimäki
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Ari Ristimäki
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Department of Pathology, HUSLAB, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 3, 00290 Helsinki, Finland
| | - Toni Seppälä
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Department of Surgery, Helsinki University Central Hospital, Hospital District of Helsinki and Uusimaa, Haartmaninkatu 4, 00290 Helsinki, Finland
- Department of Gastroenterology and Alimentary Tract Surgery, Tampere University Hospital and TAYS Cancer Centre, Kuntokatu 2, 33520 Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Kalevantie 4, 33100 Tampere, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Laura Renkonen-Sinisalo
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Department of Surgery, Helsinki University Central Hospital, Hospital District of Helsinki and Uusimaa, Haartmaninkatu 4, 00290 Helsinki, Finland
| | - Anna Lepistö
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Department of Surgery, Helsinki University Central Hospital, Hospital District of Helsinki and Uusimaa, Haartmaninkatu 4, 00290 Helsinki, Finland
| | - Kyösti Tahkola
- Faculty of Medicine and Health Technology, Tampere University, Kalevantie 4, 33100 Tampere, Finland
- Department of Surgery, Central Finland Health Care District, Keskussairaalantie 19, 40620 Jyväskylä, Finland
| | - Anne Mattila
- Department of Surgery, Central Finland Health Care District, Keskussairaalantie 19, 40620 Jyväskylä, Finland
| | - Selja Koskensalo
- The HUCH Gastrointestinal Clinic, Helsinki University Central Hospital, Stenbäckinkatu 9A, 00029 Helsinki, Finland
| | - Jukka-Pekka Mecklin
- Department of Education and Research, The Wellbeing Services of Central Finland, Hoitajatie 1, 40620 Jyväskylä, Finland
- Department of Sport and Health Sciences, University of Jyväskylä, Seminaarinkatu 15, 40014 Jyväskylä, Finland
| | - Kristiina Rajamäki
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Kimmo Palin
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
| | - Lauri A Aaltonen
- Medicum/Department of Medical and Clinical Genetics, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland
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3
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Ye BJ, Li DF, Li XY, Hao JL, Liu DJ, Yu H, Zhang CD. Methylation synthetic lethality: Exploiting selective drug targets for cancer therapy. Cancer Lett 2024; 597:217010. [PMID: 38849016 DOI: 10.1016/j.canlet.2024.217010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 05/26/2024] [Accepted: 05/30/2024] [Indexed: 06/09/2024]
Abstract
In cancer, synthetic lethality refers to the drug-induced inactivation of one gene and the inhibition of another in cancer cells by a drug, resulting in the death of only cancer cells; however, this effect is not present in normal cells, leading to targeted killing of cancer cells. Recent intensive epigenetic research has revealed that aberrant epigenetic changes are more frequently observed than gene mutations in certain cancers. Recently, numerous studies have reported various methylation synthetic lethal combinations involving DNA damage repair genes, metabolic pathway genes, and paralogs with significant results in cellular models, some of which have already entered clinical trials with promising results. This review systematically introduces the advantages of methylation synthetic lethality and describes the lethal mechanisms of methylation synthetic lethal combinations that have recently demonstrated success in cellular models. Furthermore, we discuss the future opportunities and challenges of methylation synthetic lethality in targeted anticancer therapies.
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Affiliation(s)
- Bing-Jie Ye
- Clinical Medicine, The Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
| | - Di-Fei Li
- Clinical Medicine, The Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
| | - Xin-Yun Li
- Clinical Medicine, The Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
| | - Jia-Lin Hao
- Central Laboratory, The Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
| | - Di-Jie Liu
- Central Laboratory, The Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
| | - Hang Yu
- Department of Surgical Oncology, The Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
| | - Chun-Dong Zhang
- Central Laboratory, The Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China; Department of Surgical Oncology, The Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China.
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4
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Jonchère V, Montémont H, Le Scanf E, Siret A, Letourneur Q, Tubacher E, Battail C, Fall A, Labreche K, Renault V, Ratovomanana T, Buhard O, Jolly A, Le Rouzic P, Feys C, Despras E, Zouali H, Nicolle R, Cervera P, Svrcek M, Bourgoin P, Blanché H, Boland A, Lefèvre J, Parc Y, Touat M, Bielle F, Arzur D, Cueff G, Le Jossic-Corcos C, Quéré G, Dujardin G, Blondel M, Le Maréchal C, Cohen R, André T, Coulet F, de la Grange P, de Reyniès A, Fléjou JF, Renaud F, Alentorn A, Corcos L, Deleuze JF, Collura A, Duval A. Microsatellite instability at U2AF-binding polypyrimidic tract sites perturbs alternative splicing during colorectal cancer initiation. Genome Biol 2024; 25:210. [PMID: 39107855 PMCID: PMC11304650 DOI: 10.1186/s13059-024-03340-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 07/22/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Microsatellite instability (MSI) due to mismatch repair deficiency (dMMR) is common in colorectal cancer (CRC). These cancers are associated with somatic coding events, but the noncoding pathophysiological impact of this genomic instability is yet poorly understood. Here, we perform an analysis of coding and noncoding MSI events at the different steps of colorectal tumorigenesis using whole exome sequencing and search for associated splicing events via RNA sequencing at the bulk-tumor and single-cell levels. RESULTS Our results demonstrate that MSI leads to hundreds of noncoding DNA mutations, notably at polypyrimidine U2AF RNA-binding sites which are endowed with cis-activity in splicing, while higher frequency of exon skipping events are observed in the mRNAs of MSI compared to non-MSI CRC. At the DNA level, these noncoding MSI mutations occur very early prior to cell transformation in the dMMR colonic crypt, accounting for only a fraction of the exon skipping in MSI CRC. At the RNA level, the aberrant exon skipping signature is likely to impair colonic cell differentiation in MSI CRC affecting the expression of alternative exons encoding protein isoforms governing cell fate, while also targeting constitutive exons, making dMMR cells immunogenic in early stage before the onset of coding mutations. This signature is characterized by its similarity to the oncogenic U2AF1-S34F splicing mutation observed in several other non-MSI cancer. CONCLUSIONS Overall, these findings provide evidence that a very early RNA splicing signature partly driven by MSI impairs cell differentiation and promotes MSI CRC initiation, far before coding mutations which accumulate later during MSI tumorigenesis.
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Affiliation(s)
- Vincent Jonchère
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | - Hugo Montémont
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | - Enora Le Scanf
- INSERM, UMR 1078, Université de Brest, Génétique Génomique Fonctionnelle Et Biotechnologies, Etablissement Français du Sang, F-29200, Brest, France
- CHU de Brest, Inserm, Univ Brest, EFS, UMR 1078, GGB, Brest, F-29200, France
| | - Aurélie Siret
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | - Quentin Letourneur
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | - Emmanuel Tubacher
- Laboratory for Genomics, Foundation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), Paris, France
| | - Christophe Battail
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), 91057, Evry, France
| | - Assane Fall
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | - Karim Labreche
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | - Victor Renault
- Laboratory for Genomics, Foundation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), Paris, France
| | - Toky Ratovomanana
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | - Olivier Buhard
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | | | - Philippe Le Rouzic
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | - Cody Feys
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | - Emmanuelle Despras
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | - Habib Zouali
- Laboratory for Genomics, Foundation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), Paris, France
| | - Rémy Nicolle
- Programme "Cartes d'Identité Des Tumeurs, Ligue Nationale Contre Le Cancer, Paris, France
| | - Pascale Cervera
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
- Department of Pathology, Sorbonne Université, AP-HP.Sorbonne UniversitéHôpital Saint-Antoine, 47-83 Boulevard de L'hôpital, 75012, Paris, France
| | - Magali Svrcek
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
- Department of Pathology, Sorbonne Université, AP-HP.Sorbonne UniversitéHôpital Saint-Antoine, 47-83 Boulevard de L'hôpital, 75012, Paris, France
| | - Pierre Bourgoin
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
- Department of Pathology, Sorbonne Université, AP-HP.Sorbonne UniversitéHôpital Saint-Antoine, 47-83 Boulevard de L'hôpital, 75012, Paris, France
| | - Hélène Blanché
- Laboratory for Genomics, Foundation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), Paris, France
| | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), 91057, Evry, France
| | - Jérémie Lefèvre
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
- Department of Digestive Surgery, Sorbonne Université, AP-HP, Hôpital Saint-Antoine, Paris, France
| | - Yann Parc
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
- Department of Digestive Surgery, Sorbonne Université, AP-HP, Hôpital Saint-Antoine, Paris, France
| | - Mehdi Touat
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
- Sorbonne Université, Inserm, CNRS, UMR S 1127 and SIRIC CURAMUS, Institut du Cerveau Et de La Moelle Épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2 Mazarin, Paris, France
| | - Franck Bielle
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau Et de La Moelle Épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neuropathologie Laboratoire Escourolle, Paris, France
| | - Danielle Arzur
- INSERM, UMR 1078, Université de Brest, Génétique Génomique Fonctionnelle Et Biotechnologies, Etablissement Français du Sang, F-29200, Brest, France
- CHU de Brest, Inserm, Univ Brest, EFS, UMR 1078, GGB, Brest, F-29200, France
| | - Gwennina Cueff
- INSERM, UMR 1078, Université de Brest, Génétique Génomique Fonctionnelle Et Biotechnologies, Etablissement Français du Sang, F-29200, Brest, France
- CHU de Brest, Inserm, Univ Brest, EFS, UMR 1078, GGB, Brest, F-29200, France
| | - Catherine Le Jossic-Corcos
- INSERM, UMR 1078, Université de Brest, Génétique Génomique Fonctionnelle Et Biotechnologies, Etablissement Français du Sang, F-29200, Brest, France
- CHU de Brest, Inserm, Univ Brest, EFS, UMR 1078, GGB, Brest, F-29200, France
| | - Gaël Quéré
- INSERM, UMR 1078, Université de Brest, Génétique Génomique Fonctionnelle Et Biotechnologies, Etablissement Français du Sang, F-29200, Brest, France
- CHU de Brest, Inserm, Univ Brest, EFS, UMR 1078, GGB, Brest, F-29200, France
| | - Gwendal Dujardin
- INSERM, UMR 1078, Université de Brest, Génétique Génomique Fonctionnelle Et Biotechnologies, Etablissement Français du Sang, F-29200, Brest, France
- CHU de Brest, Inserm, Univ Brest, EFS, UMR 1078, GGB, Brest, F-29200, France
| | - Marc Blondel
- INSERM, UMR 1078, Université de Brest, Génétique Génomique Fonctionnelle Et Biotechnologies, Etablissement Français du Sang, F-29200, Brest, France
- CHU de Brest, Inserm, Univ Brest, EFS, UMR 1078, GGB, Brest, F-29200, France
| | - Cédric Le Maréchal
- INSERM, UMR 1078, Université de Brest, Génétique Génomique Fonctionnelle Et Biotechnologies, Etablissement Français du Sang, F-29200, Brest, France
- CHU de Brest, Inserm, Univ Brest, EFS, UMR 1078, GGB, Brest, F-29200, France
| | - Romain Cohen
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
- Department of Medical Oncology, Sorbonne Université, AP-HP, Hôpital Saint-Antoine, Paris, France
| | - Thierry André
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
- Department of Medical Oncology, Sorbonne Université, AP-HP, Hôpital Saint-Antoine, Paris, France
| | - Florence Coulet
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
- Genetics Department, AP-HP.Sorbonne Université, Paris, France
| | | | - Aurélien de Reyniès
- Programme "Cartes d'Identité Des Tumeurs, Ligue Nationale Contre Le Cancer, Paris, France
| | - Jean-François Fléjou
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
- Department of Pathology, Sorbonne Université, AP-HP.Sorbonne UniversitéHôpital Saint-Antoine, 47-83 Boulevard de L'hôpital, 75012, Paris, France
| | - Florence Renaud
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | - Agusti Alentorn
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | - Laurent Corcos
- INSERM, UMR 1078, Université de Brest, Génétique Génomique Fonctionnelle Et Biotechnologies, Etablissement Français du Sang, F-29200, Brest, France
- CHU de Brest, Inserm, Univ Brest, EFS, UMR 1078, GGB, Brest, F-29200, France
| | - Jean-François Deleuze
- Laboratory for Genomics, Foundation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), Paris, France
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), 91057, Evry, France
| | - Ada Collura
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France
| | - Alex Duval
- Sorbonne Université, INSERM, Unité Mixte de Recherche Scientifique 938 and SIRIC CURAMUS, Centre de Recherche Saint-Antoine, Equipe Instabilité Des Microsatellites Et Cancer, Equipe Labellisée Par La Ligue Nationale Contre Le Cancer, 75012, Paris, France.
- Genetics Department, AP-HP.Sorbonne Université, Paris, France.
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5
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Sehgal A, Ziaei Jam H, Shen A, Gymrek M. Genome-wide detection of somatic mosaicism at short tandem repeats. Bioinformatics 2024; 40:btae485. [PMID: 39078205 PMCID: PMC11319640 DOI: 10.1093/bioinformatics/btae485] [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: 11/23/2023] [Revised: 06/30/2024] [Accepted: 07/29/2024] [Indexed: 07/31/2024] Open
Abstract
MOTIVATION Somatic mosaicism has been implicated in several developmental disorders, cancers, and other diseases. Short tandem repeats (STRs) consist of repeated sequences of 1-6 bp and comprise >1 million loci in the human genome. Somatic mosaicism at STRs is known to play a key role in the pathogenicity of loci implicated in repeat expansion disorders and is highly prevalent in cancers exhibiting microsatellite instability. While a variety of tools have been developed to genotype germline variation at STRs, a method for systematically identifying mosaic STRs is lacking. RESULTS We introduce prancSTR, a novel method for detecting mosaic STRs from individual high-throughput sequencing datasets. prancSTR is designed to detect loci characterized by a single high-frequency mosaic allele, but can also detect loci with multiple mosaic alleles. Unlike many existing mosaicism detection methods for other variant types, prancSTR does not require a matched control sample as input. We show that prancSTR accurately identifies mosaic STRs in simulated data, demonstrate its feasibility by identifying candidate mosaic STRs in Illumina whole genome sequencing data derived from lymphoblastoid cell lines for individuals sequenced by the 1000 Genomes Project, and evaluate the use of prancSTR on Element and PacBio data. In addition to prancSTR, we present simTR, a novel simulation framework which simulates raw sequencing reads with realistic error profiles at STRs. AVAILABILITY AND IMPLEMENTATION prancSTR and simTR are freely available at https://github.com/gymrek-lab/trtools. Detailed documentation is available at https://trtools.readthedocs.io/.
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Affiliation(s)
- Aarushi Sehgal
- Department of Computer Science and Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, United States
| | - Helyaneh Ziaei Jam
- Department of Computer Science and Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, United States
| | - Andrew Shen
- Department of Computer Science and Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, United States
| | - Melissa Gymrek
- Department of Computer Science and Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, United States
- Department of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, United States
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6
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Huo X, Han W, Yang Z, Lu Y, Liu N, Hou H. RNF43 in cancer: Molecular understanding and clinical significance in immunotherapy. J Gene Med 2024; 26:e3729. [PMID: 39146560 DOI: 10.1002/jgm.3729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 07/01/2024] [Accepted: 07/29/2024] [Indexed: 08/17/2024] Open
Abstract
Identifying biomarkers to predict immune checkpoint inhibitor (ICI) efficacy is warranted. Considering that somatic mutation-derived neoantigens induce strong immune responses, patients with a high tumor mutational burden reportedly tend to respond to ICIs. Therefore, the original function of neoantigenic mutations and their impact on the tumor microenvironment (TME) require attention. RNF43 is a type of RING E3 ubiquitin ligase, and long-term survivors in most cancers had conserved patterns of mutations of RNF43. Also, high microsatellite instability patients had a higher RNF43 mutation rate compared with microsatellite stability tumor patients, who were more sensitive to ICI treatment. Therefore, RNF43 has become a promising biomarker of immunotherapy in a wide range of cancers. This review focuses on the up-to-date knowledge of RNF43 mutation in cancer. We summarize the cancer hallmarks involving activities regulated by RNF43 and highlight its extremely sophisticated regulation of WNT signaling and tumor microenvironment. The key genes interacting with RNF43 have also been summarized and discussed. Additionally, we highlight and propose new strategies of targeting RNF43 and RNF43-based combinations with established immunotherapy and combination therapy. These efforts may provide new perspectives for RNF43-based target therapy in cancer.
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Affiliation(s)
- Xingfa Huo
- Precision Medicine Center of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Weizhong Han
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Zhen Yang
- Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Yongzhi Lu
- Department of Oncology, Qingdao Municipal Hospital, Qingdao, Shandong, China
| | - Ning Liu
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Helei Hou
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
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7
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Choi JW, Lee JO, Lee S. Detecting microsatellite instability by length comparison of microsatellites in the 3' untranslated region with RNA-seq. Brief Bioinform 2024; 25:bbae423. [PMID: 39210504 PMCID: PMC11361843 DOI: 10.1093/bib/bbae423] [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: 04/30/2024] [Revised: 07/30/2024] [Accepted: 08/09/2024] [Indexed: 09/04/2024] Open
Abstract
Microsatellite instability (MSI), a phenomenon caused by deoxyribonucleic acid (DNA) mismatch repair system deficiencies, is an important biomarker in cancer research and clinical diagnostics. MSI detection often involves next-generation sequencing data, with many studies focusing on DNA. Here, we introduce a novel approach by measuring microsatellite lengths directly from ribonucleic acid sequencing (RNA-seq) data and comparing its distribution to detect MSI. Our findings reveal distinct instability patterns between MSI-high (MSI-H) and microsatellite stable samples, indicating the efficacy of RNA-based MSI detection. Additionally, microsatellites in the 3'-untranslated regions showed the greatest predictive value for MSI detection. Notably, this efficacy extends to detecting MSI-H samples even in tumors not commonly associated with MSI. Our approach highlights the utility of RNA-seq data in MSI detection, facilitating more precise diagnostics through the integration of various biological data.
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Affiliation(s)
- Jin-Wook Choi
- Department of Health Science and Technology, Seoul National University, 1 Gwanak-ro, Gwanak-gu, 08826 Seoul, Republic of Korea
| | - Jin-Ok Lee
- Department of Health Science and Technology, Seoul National University, 1 Gwanak-ro, Gwanak-gu, 08826 Seoul, Republic of Korea
| | - Sejoon Lee
- Department of Health Science and Technology, Seoul National University, 1 Gwanak-ro, Gwanak-gu, 08826 Seoul, Republic of Korea
- Department of Pathology and Translational Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-ro 173beon-gil, Bundang-gu, 13620 Seongnam, Republic of Korea
- Precision Medicine Center, Seoul National University Bundang Hospital, 82 Gumi-ro, Bundang-gu, 13620 Seongnam, Republic of Korea
- Department of Genomic Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro, Bundang-gu, 13620 Seongnam, Republic of Korea
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8
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Kayhanian H, Cross W, van der Horst SEM, Barmpoutis P, Lakatos E, Caravagna G, Zapata L, Van Hoeck A, Middelkamp S, Litchfield K, Steele C, Waddingham W, Patel D, Milite S, Jin C, Baker AM, Alexander DC, Khan K, Hochhauser D, Novelli M, Werner B, van Boxtel R, Hageman JH, Buissant des Amorie JR, Linares J, Ligtenberg MJL, Nagtegaal ID, Laclé MM, Moons LMG, Brosens LAA, Pillay N, Sottoriva A, Graham TA, Rodriguez-Justo M, Shiu KK, Snippert HJG, Jansen M. Homopolymer switches mediate adaptive mutability in mismatch repair-deficient colorectal cancer. Nat Genet 2024; 56:1420-1433. [PMID: 38956208 PMCID: PMC11250277 DOI: 10.1038/s41588-024-01777-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/25/2024] [Indexed: 07/04/2024]
Abstract
Mismatch repair (MMR)-deficient cancer evolves through the stepwise erosion of coding homopolymers in target genes. Curiously, the MMR genes MutS homolog 6 (MSH6) and MutS homolog 3 (MSH3) also contain coding homopolymers, and these are frequent mutational targets in MMR-deficient cancers. The impact of incremental MMR mutations on MMR-deficient cancer evolution is unknown. Here we show that microsatellite instability modulates DNA repair by toggling hypermutable mononucleotide homopolymer runs in MSH6 and MSH3 through stochastic frameshift switching. Spontaneous mutation and reversion modulate subclonal mutation rate, mutation bias and HLA and neoantigen diversity. Patient-derived organoids corroborate these observations and show that MMR homopolymer sequences drift back into reading frame in the absence of immune selection, suggesting a fitness cost of elevated mutation rates. Combined experimental and simulation studies demonstrate that subclonal immune selection favors incremental MMR mutations. Overall, our data demonstrate that MMR-deficient colorectal cancers fuel intratumor heterogeneity by adapting subclonal mutation rate and diversity to immune selection.
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Affiliation(s)
| | - William Cross
- UCL Cancer Institute, University College London, London, UK
- Cancer Mechanisms and Biomarker Discovery Group, School of Life Sciences, University of Westminster, London, UK
| | - Suzanne E M van der Horst
- Oncode Institute, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Panagiotis Barmpoutis
- UCL Cancer Institute, University College London, London, UK
- UCL Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Eszter Lakatos
- Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden
| | - Giulio Caravagna
- Department of Mathematics, Informatics and Geosciences, University of Trieste, Trieste, Italy
| | - Luis Zapata
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Arne Van Hoeck
- Oncode Institute, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sjors Middelkamp
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | | | | | | | - Dominic Patel
- UCL Cancer Institute, University College London, London, UK
| | - Salvatore Milite
- Department of Mathematics, Informatics and Geosciences, University of Trieste, Trieste, Italy
| | - Chen Jin
- UCL Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Ann-Marie Baker
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Daniel C Alexander
- UCL Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Khurum Khan
- Department of Oncology, UCL Cancer Institute, University College London, London, UK
| | - Daniel Hochhauser
- UCL Cancer Institute, University College London, London, UK
- Department of Oncology, UCL Cancer Institute, University College London, London, UK
| | - Marco Novelli
- UCL Cancer Institute, University College London, London, UK
- Department of Pathology, University College London Hospital, London, UK
| | - Benjamin Werner
- Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Ruben van Boxtel
- Oncode Institute, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Joris H Hageman
- Oncode Institute, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | | | - Marjolijn J L Ligtenberg
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Iris D Nagtegaal
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Miangela M Laclé
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Leon M G Moons
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lodewijk A A Brosens
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | - Andrea Sottoriva
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Trevor A Graham
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Manuel Rodriguez-Justo
- UCL Cancer Institute, University College London, London, UK
- Department of Pathology, University College London Hospital, London, UK
| | - Kai-Keen Shiu
- UCL Cancer Institute, University College London, London, UK
- Department of Oncology, UCL Cancer Institute, University College London, London, UK
| | - Hugo J G Snippert
- Oncode Institute, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Marnix Jansen
- UCL Cancer Institute, University College London, London, UK.
- Department of Pathology, University College London Hospital, London, UK.
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9
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Kadyrova LY, Mieczkowski PA, Kadyrov FA. MutLα suppresses error-prone DNA mismatch repair and preferentially protects noncoding DNA from mutations. J Biol Chem 2024; 300:107406. [PMID: 38782208 PMCID: PMC11231602 DOI: 10.1016/j.jbc.2024.107406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/15/2024] [Accepted: 05/16/2024] [Indexed: 05/25/2024] Open
Abstract
The DNA mismatch repair (MMR) system promotes genome stability and protects humans from certain types of cancer. Its primary function is the correction of DNA polymerase errors. MutLα is an important eukaryotic MMR factor. We have examined the contributions of MutLα to maintaining genome stability. We show here that loss of MutLα in yeast increases the genome-wide mutation rate by ∼130-fold and generates a genome-wide mutation spectrum that consists of small indels and base substitutions. We also show that loss of yeast MutLα leads to error-prone MMR that produces T > C base substitutions in 5'-ATA-3' sequences. In agreement with this finding, our examination of human whole-genome DNA sequencing data has revealed that loss of MutLα in induced pluripotent stem cells triggers error-prone MMR that leads to the formation of T > C mutations in 5'-NTN-3' sequences. Our further analysis has shown that MutLα-independent MMR plays a role in suppressing base substitutions in N3 homopolymeric runs. In addition, we describe that MutLα preferentially protects noncoding DNA from mutations. Our study defines the contributions of MutLα-dependent and independent mechanisms to genome-wide MMR.
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Affiliation(s)
- Lyudmila Y Kadyrova
- Division of Biochemistry and Molecular Biology, Department of Biomedical Sciences, Southern Illinois University School of Medicine, Carbondale, Illinois, USA
| | - Piotr A Mieczkowski
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Farid A Kadyrov
- Division of Biochemistry and Molecular Biology, Department of Biomedical Sciences, Southern Illinois University School of Medicine, Carbondale, Illinois, USA.
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10
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Ferretti S, Hamon J, de Kanter R, Scheufler C, Andraos-Rey R, Barbe S, Bechter E, Blank J, Bordas V, Dammassa E, Decker A, Di Nanni N, Dourdoigne M, Gavioli E, Hattenberger M, Heuser A, Hemmerlin C, Hinrichs J, Kerr G, Laborde L, Jaco I, Núñez EJ, Martus HJ, Quadt C, Reschke M, Romanet V, Schaeffer F, Schoepfer J, Schrapp M, Strang R, Voshol H, Wartmann M, Welly S, Zécri F, Hofmann F, Möbitz H, Cortés-Cros M. Discovery of WRN inhibitor HRO761 with synthetic lethality in MSI cancers. Nature 2024; 629:443-449. [PMID: 38658754 PMCID: PMC11078746 DOI: 10.1038/s41586-024-07350-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 03/26/2024] [Indexed: 04/26/2024]
Abstract
The Werner syndrome RecQ helicase WRN was identified as a synthetic lethal target in cancer cells with microsatellite instability (MSI) by several genetic screens1-6. Despite advances in treatment with immune checkpoint inhibitors7-10, there is an unmet need in the treatment of MSI cancers11-14. Here we report the structural, biochemical, cellular and pharmacological characterization of the clinical-stage WRN helicase inhibitor HRO761, which was identified through an innovative hit-finding and lead-optimization strategy. HRO761 is a potent, selective, allosteric WRN inhibitor that binds at the interface of the D1 and D2 helicase domains, locking WRN in an inactive conformation. Pharmacological inhibition by HRO761 recapitulated the phenotype observed by WRN genetic suppression, leading to DNA damage and inhibition of tumour cell growth selectively in MSI cells in a p53-independent manner. Moreover, HRO761 led to WRN degradation in MSI cells but not in microsatellite-stable cells. Oral treatment with HRO761 resulted in dose-dependent in vivo DNA damage induction and tumour growth inhibition in MSI cell- and patient-derived xenograft models. These findings represent preclinical pharmacological validation of WRN as a therapeutic target in MSI cancers. A clinical trial with HRO761 (NCT05838768) is ongoing to assess the safety, tolerability and preliminary anti-tumour activity in patients with MSI colorectal cancer and other MSI solid tumours.
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Affiliation(s)
| | | | | | | | | | | | | | - Jutta Blank
- Novartis BioMedical Research, Basel, Switzerland
| | | | | | | | | | | | - Elena Gavioli
- Novartis BioMedical Research, Basel, Switzerland
- Novartis Pharma AG, Basel, Switzerland
| | | | - Alisa Heuser
- Novartis BioMedical Research, Basel, Switzerland
| | | | | | - Grainne Kerr
- Novartis BioMedical Research, Basel, Switzerland
| | | | - Isabel Jaco
- Novartis BioMedical Research, Basel, Switzerland
| | - Eloísa Jiménez Núñez
- Novartis BioMedical Research, Basel, Switzerland
- Pierre Fabre Laboratories, Toulouse, France
| | | | | | | | | | | | | | | | - Ross Strang
- Novartis BioMedical Research, Basel, Switzerland
| | - Hans Voshol
- Novartis BioMedical Research, Basel, Switzerland
| | | | - Sarah Welly
- Novartis BioMedical Research, Basel, Switzerland
| | | | - Francesco Hofmann
- Novartis BioMedical Research, Basel, Switzerland
- Pierre Fabre Laboratories, Toulouse, France
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11
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Martins F, Machado AL, Ribeiro A, Oliveira SM, Carvalho J, Matthiesen R, Backman V, Velho S. KRAS silencing alters chromatin physical organization and transcriptional activity in colorectal cancer cells. RESEARCH SQUARE 2024:rs.3.rs-3752760. [PMID: 38410476 PMCID: PMC10896403 DOI: 10.21203/rs.3.rs-3752760/v2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Clinical data revealed that KRAS mutant tumors, while initially sensitive to treatment, rapidly bypass KRAS dependence to acquire a drug-tolerant phenotype. However, the mechanisms underlying the transition from a drug-sensitive to a drug-tolerant state still elude us. Here, we show that global chromatin reorganization is a recurrent and specific feature of KRAS-dependent cells that tolerated KRAS silencing. We show that KRAS-dependent cells undergo G0/G1 cell cycle arrest after KRAS silencing, presenting a transcriptomic signature of quiescence. Proteomic analysis showed upregulated chromatin-associated proteins and transcription-associated biological processes. Accordingly, these cells shifted euchromatin/heterochromatin states, gained topologically associating domains, and altered the nanoscale physical organization of chromatin, more precisely by downregulating chromatin packing domains, a feature associated with the induction of quiescence. In addition, they also accumulated transcriptional alterations over time leading to a diversification of biological processes, linking chromatin alterations to transcriptional performance. Overall, our observations pinpoint a novel molecular mechanism of tolerance to KRAS oncogenic loss driven not by specific gene alterations but by global reorganization of genomic information, in which cells transition chromatin domain structure towards a more quiescent state and gain transcriptional reprogramming capacity.
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Affiliation(s)
| | | | | | | | | | | | | | - Sérgia Velho
- i3S - Institute for Research and Innovation in Health
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12
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Kadyrova LY, Mieczkowski PA, Kadyrov FA. MutLα suppresses error-prone DNA mismatch repair and preferentially protects noncoding DNA from mutations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.01.587563. [PMID: 38617288 PMCID: PMC11014525 DOI: 10.1101/2024.04.01.587563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
The DNA mismatch repair (MMR) system promotes genome stability and protects humans from certain types of cancer. Its primary function is the correction of DNA polymerase errors. MutLα is an important eukaryotic MMR factor. We have examined the contributions of MutLα to maintaining genome stability. We show here that loss of MutLα in yeast increases the genome-wide mutation rate by ~130-fold and generates a genome-wide mutation spectrum that consists of small indels and base substitutions. We also show that loss of yeast MutLα leads to error-prone MMR that produces T>C base substitutions in 5'-ATA-3' sequences. In agreement with this finding, our examination of human whole genome DNA sequencing data has revealed that loss of MutLα in induced pluripotent stem cells triggers error-prone MMR that leads to the formation of T>C mutations in 5'-NTN-3' sequences. Our further analysis has shown that MutLα-independent MMR plays a role in suppressing base substitutions in N3 homopolymeric runs. In addition, we describe that MutLα preferentially defends noncoding DNA from mutations. Our study defines the contributions of MutLα-dependent and independent mechanisms to genome-wide MMR.
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Affiliation(s)
- Lyudmila Y. Kadyrova
- Division of Biochemistry and Molecular Biology, Department of Biomedical Sciences, Southern Illinois University School of Medicine, Carbondale, IL 62901, USA
| | - Piotr A. Mieczkowski
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Farid A. Kadyrov
- Division of Biochemistry and Molecular Biology, Department of Biomedical Sciences, Southern Illinois University School of Medicine, Carbondale, IL 62901, USA
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13
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Stan A, Bosart K, Kaur M, Vo M, Escorcia W, Yoder RJ, Bouley RA, Petreaca RC. Detection of driver mutations and genomic signatures in endometrial cancers using artificial intelligence algorithms. PLoS One 2024; 19:e0299114. [PMID: 38408048 PMCID: PMC10896512 DOI: 10.1371/journal.pone.0299114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 02/05/2024] [Indexed: 02/28/2024] Open
Abstract
Analyzed endometrial cancer (EC) genomes have allowed for the identification of molecular signatures, which enable the classification, and sometimes prognostication, of these cancers. Artificial intelligence algorithms have facilitated the partitioning of mutations into driver and passenger based on a variety of parameters, including gene function and frequency of mutation. Here, we undertook an evaluation of EC cancer genomes deposited on the Catalogue of Somatic Mutations in Cancers (COSMIC), with the goal to classify all mutations as either driver or passenger. Our analysis showed that approximately 2.5% of all mutations are driver and cause cellular transformation and immortalization. We also characterized nucleotide level mutation signatures, gross chromosomal re-arrangements, and gene expression profiles. We observed that endometrial cancers show distinct nucleotide substitution and chromosomal re-arrangement signatures compared to other cancers. We also identified high expression levels of the CLDN18 claudin gene, which is involved in growth, survival, metastasis and proliferation. We then used in silico protein structure analysis to examine the effect of certain previously uncharacterized driver mutations on protein structure. We found that certain mutations in CTNNB1 and TP53 increase protein stability, which may contribute to cellular transformation. While our analysis retrieved previously classified mutations and genomic alterations, which is to be expected, this study also identified new signatures. Additionally, we show that artificial intelligence algorithms can be effectively leveraged to accurately predict key drivers of cancer. This analysis will expand our understanding of ECs and improve the molecular toolbox for classification, diagnosis, or potential treatment of these cancers.
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Affiliation(s)
- Anda Stan
- Biology Program, The Ohio State University, Marion, Ohio, United States of America
| | - Korey Bosart
- Biology Program, The Ohio State University, Marion, Ohio, United States of America
| | - Mehak Kaur
- Biology Program, The Ohio State University, Marion, Ohio, United States of America
| | - Martin Vo
- Biology Department, Xavier University, Cincinnati, Ohio, United States of America
| | - Wilber Escorcia
- Biology Department, Xavier University, Cincinnati, Ohio, United States of America
| | - Ryan J Yoder
- Department of Chemistry and Biochemistry, The Ohio State University, Marion, Ohio, United States of America
| | - Renee A Bouley
- Department of Chemistry and Biochemistry, The Ohio State University, Marion, Ohio, United States of America
| | - Ruben C Petreaca
- Department of Molecular Genetics, The Ohio State University, Marion, Ohio, United States of America
- James Comprehensive Cancer Center, The Ohio State University Columbus, Columbus, Ohio, United States of America
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14
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Verbiest MA, Lundström O, Xia F, Baudis M, Bilgin Sonay T, Anisimova M. Short tandem repeat mutations regulate gene expression in colorectal cancer. Sci Rep 2024; 14:3331. [PMID: 38336885 PMCID: PMC10858039 DOI: 10.1038/s41598-024-53739-0] [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: 12/15/2023] [Accepted: 02/04/2024] [Indexed: 02/12/2024] Open
Abstract
Short tandem repeat (STR) mutations are prevalent in colorectal cancer (CRC), especially in tumours with the microsatellite instability (MSI) phenotype. While STR length variations are known to regulate gene expression under physiological conditions, the functional impact of STR mutations in CRC remains unclear. Here, we integrate STR mutation data with clinical information and gene expression data to study the gene regulatory effects of STR mutations in CRC. We confirm that STR mutability in CRC highly depends on the MSI status, repeat unit size, and repeat length. Furthermore, we present a set of 1244 putative expression STRs (eSTRs) for which the STR length is associated with gene expression levels in CRC tumours. The length of 73 eSTRs is associated with expression levels of cancer-related genes, nine of which are CRC-specific genes. We show that linear models describing eSTR-gene expression relationships allow for predictions of gene expression changes in response to eSTR mutations. Moreover, we found an increased mutability of eSTRs in MSI tumours. Our evidence of gene regulatory roles for eSTRs in CRC highlights a mostly overlooked way through which tumours may modulate their phenotypes. Future extensions of these findings could uncover new STR-based targets in the treatment of cancer.
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Affiliation(s)
- Max A Verbiest
- Institute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland.
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
| | - Oxana Lundström
- Institute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland
- Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Feifei Xia
- Institute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Michael Baudis
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Tugce Bilgin Sonay
- Institute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Institute of Ecology, Evolution and Environmental Biology, Columbia University, New York, USA
| | - Maria Anisimova
- Institute of Computational Life Sciences, Zurich University of Applied Sciences, Wädenswil, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
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15
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Cui JZ, Chew ZH, Lim LHK. New insights into nucleic acid sensor AIM2: The potential benefit in targeted therapy for cancer. Pharmacol Res 2024; 200:107079. [PMID: 38272334 DOI: 10.1016/j.phrs.2024.107079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 01/27/2024]
Abstract
The AIM2 inflammasome represents a multifaceted oligomeric protein complex within the innate immune system, with the capacity to perceive double-stranded DNA (dsDNA) and engage in diverse physiological reactions and disease contexts, including cancer. While originally conceived as a discerning DNA sensor, AIM2 has demonstrated its capability to discern various nucleic acid variations, encompassing RNA and DNA-RNA hybrids. Through its interaction with nucleic acids, AIM2 orchestrates the assembly of a complex involving multiple proteins, aptly named the AIM2 inflammasome, which facilitates the enzymatic cleavage of proinflammatory cytokines, namely pro-IL-1β and pro-IL-18. This process, in turn, underpins its pivotal biological role. In this review, we provide a systematic summary and discussion of the latest advancements in AIM2 sensing various types of nucleic acids. Additionally, we discuss the modulation of AIM2 activation, which can cause cell death, including pyroptosis, apoptosis, and autophagic cell death. Finally, we fully illustrate the evidence for the dual role of AIM2 in different cancer types, including both anti-tumorigenic and pro-tumorigenic functions. Considering the above information, we uncover the therapeutic promise of modulating the AIM2 inflammasome in cancer treatment.
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Affiliation(s)
- Jian-Zhou Cui
- Translational Immunology Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; NUS Immunology Program, Life Sciences Institute, National University of Singapore, Singapore; NUS-Cambridge Immunophenotyping Centre, Life Science Institute, National University of Singapore, Singapore.
| | - Zhi Huan Chew
- Translational Immunology Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; NUS Immunology Program, Life Sciences Institute, National University of Singapore, Singapore; NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore; Department of Microbiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Lina H K Lim
- Translational Immunology Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; NUS Immunology Program, Life Sciences Institute, National University of Singapore, Singapore; NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore; Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
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16
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Addante F, d’Amati A, Santoro A, Angelico G, Inzani F, Arciuolo D, Travaglino A, Raffone A, D’Alessandris N, Scaglione G, Valente M, Tinnirello G, Sfregola S, Padial Urtueta B, Piermattei A, Cianfrini F, Mulè A, Bragantini E, Zannoni GF. Mismatch Repair Deficiency as a Predictive and Prognostic Biomarker in Endometrial Cancer: A Review on Immunohistochemistry Staining Patterns and Clinical Implications. Int J Mol Sci 2024; 25:1056. [PMID: 38256131 PMCID: PMC10816607 DOI: 10.3390/ijms25021056] [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: 11/16/2023] [Revised: 12/21/2023] [Accepted: 01/13/2024] [Indexed: 01/24/2024] Open
Abstract
Among the four endometrial cancer (EC) TCGA molecular groups, the MSI/hypermutated group represents an important percentage of tumors (30%), including different histotypes, and generally confers an intermediate prognosis for affected women, also providing new immunotherapeutic strategies. Immunohistochemistry for MMR proteins (MLH1, MSH2, MSH6 and PMS2) has become the optimal diagnostic MSI surrogate worldwide. This review aims to provide state-of-the-art knowledge on MMR deficiency/MSI in EC and to clarify the pathological assessment, interpretation pitfalls and reporting of MMR status.
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Affiliation(s)
- Francesca Addante
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy (A.d.); (G.S.); (A.P.); (G.F.Z.)
- Unit of Anatomical Pathology, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Antonio d’Amati
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy (A.d.); (G.S.); (A.P.); (G.F.Z.)
- Unit of Anatomical Pathology, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
- Unit of Human Anatomy and Histology, Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari “Aldo Moro”, Piazza Giulio Cesare 11, 70124 Bari, Italy
| | - Angela Santoro
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy (A.d.); (G.S.); (A.P.); (G.F.Z.)
- Istituto di Anatomia Patologica, Università Cattolica del Sacro Cuore, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Giuseppe Angelico
- Department of Medical and Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Anatomic Pathology, University of Catania, 95123 Catania, Italy; (G.A.)
| | - Frediano Inzani
- Anatomic Pathology Unit, Department of Molecular Medicine, University of Pavia and Fondazione IRCCS San Matteo Hospital, 27100 Pavia, Italy;
| | - Damiano Arciuolo
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy (A.d.); (G.S.); (A.P.); (G.F.Z.)
| | - Antonio Travaglino
- Pathology Unit, Department of Medicine and Technological Innovation, University of Insubria, 21100 Varese, Italy
| | - Antonio Raffone
- Gynecology and Obstetrics Unit, Department of Public Health, University of Naples Federico II, 80138 Naples, Italy
| | - Nicoletta D’Alessandris
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy (A.d.); (G.S.); (A.P.); (G.F.Z.)
| | - Giulia Scaglione
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy (A.d.); (G.S.); (A.P.); (G.F.Z.)
| | - Michele Valente
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy (A.d.); (G.S.); (A.P.); (G.F.Z.)
| | - Giordana Tinnirello
- Department of Medical and Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Anatomic Pathology, University of Catania, 95123 Catania, Italy; (G.A.)
| | - Stefania Sfregola
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy (A.d.); (G.S.); (A.P.); (G.F.Z.)
| | - Belen Padial Urtueta
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy (A.d.); (G.S.); (A.P.); (G.F.Z.)
| | - Alessia Piermattei
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy (A.d.); (G.S.); (A.P.); (G.F.Z.)
| | - Federica Cianfrini
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy (A.d.); (G.S.); (A.P.); (G.F.Z.)
| | - Antonino Mulè
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy (A.d.); (G.S.); (A.P.); (G.F.Z.)
| | - Emma Bragantini
- Department of Surgical Pathology, Ospedale S. Chiara, Largo Medaglie d’Oro 9, 38122 Trento, Italy
| | - Gian Franco Zannoni
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy (A.d.); (G.S.); (A.P.); (G.F.Z.)
- Istituto di Anatomia Patologica, Università Cattolica del Sacro Cuore, Largo A. Gemelli 8, 00168 Rome, Italy
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17
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Sehgal A, Ziaei-Jam H, Shen A, Gymrek M. Genome-wide detection of somatic mosaicism at short tandem repeats. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.22.568371. [PMID: 38045311 PMCID: PMC10690266 DOI: 10.1101/2023.11.22.568371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Motivation Somatic mosaicism, in which a mutation occurs post-zygotically, has been implicated in several developmental disorders, cancers, and other diseases. Short tandem repeats (STRs) consist of repeated sequences of 1-6bp and comprise more than 1 million loci in the human genome. Somatic mosaicism at STRs is known to play a key role in the pathogenicity of loci implicated in repeat expansion disorders and is highly prevalent in cancers exhibiting microsatellite instability. While a variety of tools have been developed to genotype germline variation at STRs, a method for systematically identifying mosaic STRs (mSTRs) is lacking. Results We introduce prancSTR, a novel method for detecting mSTRs from individual high-throughput sequencing datasets. Unlike many existing mosaicism detection methods for other variant types, prancSTR does not require a matched control sample as input. We show that prancSTR accurately identifies mSTRs in simulated data and demonstrate its feasibility by identifying candidate mSTRs in whole genome sequencing (WGS) data derived from lymphoblastoid cell lines for individuals sequenced by the 1000 Genomes Project. Our analysis identified an average of 76 and 577 non-homopolymer and homopolymer mSTRs respectively per cell line as well as multiple cell lines with outlier mSTR counts more than 6 times the population average, suggesting a subset of cell lines have particularly high STR instability rates. Availability prancSTR is freely available at https://github.com/gymrek-lab/trtools. Documentation Detailed documentation is available at https://trtools.readthedocs.io/.
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Affiliation(s)
- Aarushi Sehgal
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, USA
| | - Helyaneh Ziaei-Jam
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, USA
| | - Andrew Shen
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, USA
| | - Melissa Gymrek
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, USA
- Department of Medicine, University of California San Diego, La Jolla, USA
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18
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Bacher JW, Udho EB, Strauss EE, Vyazunova I, Gallinger S, Buchanan DD, Pai RK, Templeton AS, Storts DR, Eshleman JR, Halberg RB. A Highly Sensitive Pan-Cancer Test for Microsatellite Instability. J Mol Diagn 2023; 25:806-826. [PMID: 37544360 PMCID: PMC10629437 DOI: 10.1016/j.jmoldx.2023.07.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 07/10/2023] [Accepted: 07/18/2023] [Indexed: 08/08/2023] Open
Abstract
Microsatellite instability (MSI) is an evolving biomarker for cancer detection and treatment. MSI was first used to identify patients with Lynch syndrome, a hereditary form of colorectal cancer (CRC), but has recently become indispensable in predicting patient response to immunotherapy. To address the need for pan-cancer MSI detection, a new multiplex assay was developed that uses novel long mononucleotide repeat (LMR) markers to improve sensitivity. A total of 469 tumor samples from 20 different cancer types, including 319 from patients with Lynch syndrome, were tested for MSI using the new LMR MSI Analysis System. Results were validated by using deficient mismatch repair (dMMR) status according to immunohistochemistry as the reference standard and compared versus the Promega pentaplex MSI panel. The sensitivity of the LMR panel for detection of dMMR status by immunohistochemistry was 99% for CRC and 96% for non-CRC. The overall percent agreement between the LMR and Promega pentaplex panels was 99% for CRC and 89% for non-CRC tumors. An increased number of unstable markers and the larger size shifts observed in dMMR tumors using the LMR panel increased confidence in MSI determinations. The LMR MSI Analysis System expands the spectrum of cancer types in which MSI can be accurately detected.
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Affiliation(s)
- Jeffery W Bacher
- R&D Clinical Diagnostics, Promega Corporation, Madison, Wisconsin; Department of Medicine, University of Wisconsin, Madison, Wisconsin.
| | - Eshwar B Udho
- R&D Clinical Diagnostics, Promega Corporation, Madison, Wisconsin
| | | | - Irina Vyazunova
- R&D Clinical Diagnostics, Promega Corporation, Madison, Wisconsin
| | - Steven Gallinger
- Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia; Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Rish K Pai
- Health Science Research, Mayo Clinic, Scottsdale, Arizona
| | | | - Douglas R Storts
- R&D Clinical Diagnostics, Promega Corporation, Madison, Wisconsin
| | - James R Eshleman
- School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Richard B Halberg
- Department of Medicine, University of Wisconsin, Madison, Wisconsin; Department of Oncology, McArdle Laboratory of Cancer Research, University of Wisconsin, Madison, Wisconsin; University of Wisconsin Carbone Cancer Center, Madison, Wisconsin.
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19
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Boyarskikh U, Kechin A, Khrapov E, Fedyanin M, Raskin G, Mukhina M, Kravtsova E, Tsukanov A, Achkasov S, Filipenko M. Detecting Microsatellite Instability in Endometrial, Colon, and Stomach Cancers Using Targeted NGS. Cancers (Basel) 2023; 15:5065. [PMID: 37894432 PMCID: PMC10605658 DOI: 10.3390/cancers15205065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/19/2023] [Accepted: 09/19/2023] [Indexed: 10/29/2023] Open
Abstract
PURPOSE To develop a method for testing the MSI based on targeted NGS. METHODS Based on the results of previous studies, 81 microsatellite loci with high variability in MSI-H tumors were selected, and a method for calculating the MSI score was developed. Using the MSI score, we defined the MSI status in endometral (162), colon (153), and stomach (190) cancers. Accuracy of the MSI scores was evaluated by comparison with MMR immunohistochemistry for 137 endometrium (63 dMMR and 74 pMMR), 76 colon (29 dMMR and 47 pMMR), and 81 stomach (8 dMMR and 73 pMMR) cancers. RESULTS Classification of MSS and MSI-H tumors was performed with AUC (0.99), sensitivity (92%), and specificity (98%) for all tumors without division into types. The accuracy of MSI testing in endometrial cancer was lower than for stomach and colon cancer (0.98, 87%, and 100%, respectively). The use of 27 loci only, the most informative for endometrial cancer, increased the overall accuracy (1.00, 99%, and 99%). Comparison of MSI score values in 505 tumors showed that MSI score is significantly higher in colon (p < 10-5) and stomach (p = 0.008) cancer compared with endometrial cancer. CONCLUSION The MSI score accurately determines MSI status for endometrial, colon, and stomach cancers and can be used to quantify the degree of MSI.
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Affiliation(s)
- Ulyana Boyarskikh
- Institute of Chemical Biology and Fundamental Medicine, Siberian Division of the Russian Academy of Sciences, 630090 Novosibirsk, Russia (E.K.); (M.F.)
| | - Andrey Kechin
- Institute of Chemical Biology and Fundamental Medicine, Siberian Division of the Russian Academy of Sciences, 630090 Novosibirsk, Russia (E.K.); (M.F.)
| | - Evgeniy Khrapov
- Institute of Chemical Biology and Fundamental Medicine, Siberian Division of the Russian Academy of Sciences, 630090 Novosibirsk, Russia (E.K.); (M.F.)
| | - Mikhail Fedyanin
- State Budgetary Institution of Health Care of Moscow (Moscow Multidisciplinary Clinical Center “Kommunarka”), 142770 Moscow, Russia
| | - Grigory Raskin
- Dr. Berezin Medical Institute, 197758 St. Petersburg, Russia; (G.R.); (M.M.)
| | - Marina Mukhina
- Dr. Berezin Medical Institute, 197758 St. Petersburg, Russia; (G.R.); (M.M.)
| | - Elena Kravtsova
- Dr. Berezin Medical Institute, 197758 St. Petersburg, Russia; (G.R.); (M.M.)
| | - Aleksey Tsukanov
- Ryzhikh National Medical Research Center of Coloproctology, 123423 Moscow, Russia
| | - Sergey Achkasov
- Ryzhikh National Medical Research Center of Coloproctology, 123423 Moscow, Russia
| | - Maksim Filipenko
- Institute of Chemical Biology and Fundamental Medicine, Siberian Division of the Russian Academy of Sciences, 630090 Novosibirsk, Russia (E.K.); (M.F.)
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20
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Westcott PMK, Muyas F, Hauck H, Smith OC, Sacks NJ, Ely ZA, Jaeger AM, Rideout WM, Zhang D, Bhutkar A, Beytagh MC, Canner DA, Jaramillo GC, Bronson RT, Naranjo S, Jin A, Patten JJ, Cruz AM, Shanahan SL, Cortes-Ciriano I, Jacks T. Mismatch repair deficiency is not sufficient to elicit tumor immunogenicity. Nat Genet 2023; 55:1686-1695. [PMID: 37709863 PMCID: PMC10562252 DOI: 10.1038/s41588-023-01499-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 08/07/2023] [Indexed: 09/16/2023]
Abstract
DNA mismatch repair deficiency (MMRd) is associated with a high tumor mutational burden (TMB) and sensitivity to immune checkpoint blockade (ICB) therapy. Nevertheless, most MMRd tumors do not durably respond to ICB and critical questions remain about immunosurveillance and TMB in these tumors. In the present study, we developed autochthonous mouse models of MMRd lung and colon cancer. Surprisingly, these models did not display increased T cell infiltration or ICB response, which we showed to be the result of substantial intratumor heterogeneity of mutations. Furthermore, we found that immunosurveillance shapes the clonal architecture but not the overall burden of neoantigens, and T cell responses against subclonal neoantigens are blunted. Finally, we showed that clonal, but not subclonal, neoantigen burden predicts ICB response in clinical trials of MMRd gastric and colorectal cancer. These results provide important context for understanding immune evasion in cancers with a high TMB and have major implications for therapies aimed at increasing TMB.
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Affiliation(s)
- Peter M K Westcott
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
| | - Francesc Muyas
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Haley Hauck
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Olivia C Smith
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Nathan J Sacks
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Zackery A Ely
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alex M Jaeger
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - William M Rideout
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Daniel Zhang
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Arjun Bhutkar
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Mary C Beytagh
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - David A Canner
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Grissel C Jaramillo
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Santiago Naranjo
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Abbey Jin
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - J J Patten
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Amanda M Cruz
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Sean-Luc Shanahan
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Isidro Cortes-Ciriano
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK.
| | - Tyler Jacks
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Rodent Histopathology Core, Harvard Medical School, Boston, MA, USA.
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21
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Zheng X, Lin J, Xiong J, Guan Y, Lan B, Li Y, Gao X, Fei Z, Chen L, Chen L, Chen L, Chen G, Guo Z, Yi X, Cao W, Ai X, Zhou C, Li X, Zhao J, Yan X, Yu Q, Si L, Chen Y, Chen C. SETD2 variation correlates with tumor mutational burden and MSI along with improved response to immunotherapy. BMC Cancer 2023; 23:686. [PMID: 37479966 PMCID: PMC10360270 DOI: 10.1186/s12885-023-10920-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 05/05/2023] [Indexed: 07/23/2023] Open
Abstract
BACKGROUND SETD2 protects against genomic instability via maintenance of homologous recombination repair (HRR) and mismatch repair (MMR) in neoplastic cells. However, it remains unclear whether SETD2 dysfunction is a complementary or independent factor to microsatellite instability-high (MSI-H) and tumor mutational burden-high (TMB-H) for immunocheckpoint inhibitor (ICI) treatment, and little is known regarding whether this type of dysfunction acts differently in various types of cancer. METHODS This cohort study used multidimensional genomic data of 6726 sequencing samples from our cooperative and non-public GenePlus institute from April 1 through April 10, 2020. MSIsensor score, HRD score, RNAseq, mutational data, and corresponding clinical data were obtained from the TCGA and MSKCC cohort for seven solid tumor types. RESULTS A total of 1021 genes underwent target panel sequencing reveal that SETD2 mutations were associated with a higher TMB. SETD2 deleterious mutation dysfunction affected ICI treatment prognosis independently of TMB-H (p < 0.01) and had a lower death hazard than TMB-H in pancancer patients (0.511 vs 0.757). Significantly higher MSI and lower homologous recombination deficiency were observed in the SETD2 deleterious mutation group. Improved survival rate was found in the MSKCC-IO cohort (P < 0.0001) and was further confirmed in our Chinese cohort. CONCLUSION We found that SETD2 dysfunction affects ICI treatment prognosis independently of TMB-H and has a lower death hazard than TMB-H in pancancer patients. Therefore, SETD2 has the potential to serve as a candidate biomarker for ICI treatment. Additionally, SETD2 should be considered when dMMR is detected by immunohistochemistry.
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Affiliation(s)
- Xiaobin Zheng
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
| | - Jing Lin
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
- Cancer Bio-Immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
| | - Jiani Xiong
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
- Cancer Bio-Immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
| | | | - Bin Lan
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
| | - Yi Li
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
| | - Xuan Gao
- Geneplus-Beijing Institute, Beijing, China
| | - Zhaodong Fei
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
- Cancer Bio-Immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
| | - Lisha Chen
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
- Cancer Bio-Immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
| | - Lizhu Chen
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
- Cancer Bio-Immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
| | - Ling Chen
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
- Cancer Bio-Immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
| | - Gang Chen
- Cancer Bio-Immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
- Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
| | - Zengqing Guo
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
- Cancer Bio-Immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China
| | - Xin Yi
- Geneplus-Beijing Institute, Beijing, China
| | - Weiguo Cao
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinghao Ai
- Department of Shanghai Lung Cancer Center, Shanghai Jiao Tong University Affiliated Chest Hospital, Shanghai, China
| | - Chengzhi Zhou
- First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - Xiaofeng Li
- Department of Oncology, Affiliated Quanzhou First Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Jun Zhao
- Department of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiangtao Yan
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Henan Province, Zhengzhou, China
| | - Qitao Yu
- Department of Oncology, The Cancer Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Lu Si
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yu Chen
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China.
- Cancer Bio-Immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China.
| | - Chuanben Chen
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China.
- Cancer Bio-Immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, Fujian Province, China.
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22
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Parker MJ, Lee H, Yao S, Irwin S, Hwang S, Belanger K, de Mare SW, Surgenor R, Yan L, Gee P, Morla S, Puyang X, Hsiao P, Zeng H, Zhu P, Korpal M, Dransfield P, Bolduc DM, Larsen NA. Identification of 2-Sulfonyl/Sulfonamide Pyrimidines as Covalent Inhibitors of WRN Using a Multiplexed High-Throughput Screening Assay. Biochemistry 2023; 62:2147-2160. [PMID: 37403936 PMCID: PMC10358344 DOI: 10.1021/acs.biochem.2c00599] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 01/03/2023] [Indexed: 07/06/2023]
Abstract
Werner syndrome protein (WRN) is a multifunctional enzyme with helicase, ATPase, and exonuclease activities that are necessary for numerous DNA-related transactions in the human cell. Recent studies identified WRN as a synthetic lethal target in cancers characterized by genomic microsatellite instability resulting from defects in DNA mismatch repair pathways. WRN's helicase activity is essential for the viability of these high microsatellite instability (MSI-H) cancers and thus presents a therapeutic opportunity. To this end, we developed a multiplexed high-throughput screening assay that monitors exonuclease, ATPase, and helicase activities of full-length WRN. This screening campaign led to the discovery of 2-sulfonyl/sulfonamide pyrimidine derivatives as novel covalent inhibitors of WRN helicase activity. The compounds are specific for WRN versus other human RecQ family members and show competitive behavior with ATP. Examination of these novel chemical probes established the sulfonamide NH group as a key driver of compound potency. One of the leading compounds, H3B-960, showed consistent activities in a range of assays (IC50 = 22 nM, KD = 40 nM, KI = 32 nM), and the most potent compound identified, H3B-968, has inhibitory activity IC50 ∼ 10 nM. These kinetic properties trend toward other known covalent druglike molecules. Our work provides a new avenue for screening WRN for inhibitors that may be adaptable to different therapeutic modalities such as targeted protein degradation, as well as a proof of concept for the inhibition of WRN helicase activity by covalent molecules.
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Affiliation(s)
- Mackenzie J. Parker
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Hyelee Lee
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Shihua Yao
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Sean Irwin
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Sunil Hwang
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Kylie Belanger
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Sofia Woo de Mare
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Richard Surgenor
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Lu Yan
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Patricia Gee
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Shravan Morla
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Xiaoling Puyang
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Peng Hsiao
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Hao Zeng
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Ping Zhu
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Manav Korpal
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Paul Dransfield
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - David M. Bolduc
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
| | - Nicholas A. Larsen
- H3 Biomedicine, Inc., 300 Technology Square, Suite 5, Cambridge, Massachusetts 02139, United States
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23
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Farmanbar A, Kneller R, Firouzi S. Mutational signatures reveal mutual exclusivity of homologous recombination and mismatch repair deficiencies in colorectal and stomach tumors. Sci Data 2023; 10:423. [PMID: 37393385 PMCID: PMC10314920 DOI: 10.1038/s41597-023-02331-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 06/26/2023] [Indexed: 07/03/2023] Open
Abstract
Decomposing somatic mutation spectra into mutational signatures and their corresponding etiologies provides a powerful approach for investigating the mechanism of DNA damage and repair. Assessing microsatellite (in)stability (MSI/MSS) status and interpreting their clinical relevance in different malignancies offers significant diagnostic and prognostic value. However, little is known about microsatellite (in)stability and its interactions with other DNA repair mechanisms such as homologous recombination (HR) in different cancer types. Based on whole-genome/exome mutational signature analysis, we showed HR deficiency (HRd) and mismatch repair deficiency (MMRd) occur in a significantly mutually exclusive manner in stomach and colorectal adenocarcinomas. ID11 signature with currently unknown etiology was prevalent in MSS tumors, co-occurred with HRd and was mutually exclusive with MMRd. Apolipoprotein B mRNA editing enzyme, Catalytic polypeptide-like (APOBEC) signature co-occurred with HRd and was mutually exclusive with MMRd in stomach tumors. The HRd signature in MSS tumors and the MMRd signature in MSI tumors were the first or second dominant signatures wherever detected. HRd may drive a distinct subgroup of MSS tumors and lead to poor clinical outcome. These analyses offer insight into mutational signatures in MSI and MMS tumors and reveal opportunities for improved clinical diagnosis and personalized treatment of MSS tumors.
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Affiliation(s)
- Amir Farmanbar
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
- Research Center for Advanced Science and Technology, University of Tokyo, Minato-ku, Tokyo, 153-8904, Japan
| | - Robert Kneller
- Research Center for Advanced Science and Technology, University of Tokyo, Minato-ku, Tokyo, 153-8904, Japan
| | - Sanaz Firouzi
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
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24
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Manca P, Corti F, Intini R, Mazzoli G, Miceli R, Germani MM, Bergamo F, Ambrosini M, Cristarella E, Cerantola R, Boccaccio C, Ricagno G, Ghelardi F, Randon G, Leoncini G, Milione M, Fassan M, Cremolini C, Lonardi S, Pietrantonio F. Tumour mutational burden as a biomarker in patients with mismatch repair deficient/microsatellite instability-high metastatic colorectal cancer treated with immune checkpoint inhibitors. Eur J Cancer 2023; 187:15-24. [PMID: 37099945 DOI: 10.1016/j.ejca.2023.03.029] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/16/2023] [Accepted: 03/27/2023] [Indexed: 04/03/2023]
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) are the standard treatment in patients with mismatch repair deficient (dMMR)/microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC). Tumour mutational burden (TMB) is a promising biomarker for the prediction of treatment outcomes. PATIENTS AND METHODS We screened 203 patients with dMMR/MSI-H mCRC treated with an anti-PD-(L)1 (anti-Programmed-Death-(Ligand)1) plus or minus an anti-Cytotoxic T-Lymphocyte Antigen 4 (anti-CTLA-4) agent at three Italian Academic Centers. TMB was tested by Foundation One Next Generation Sequencing assay and correlated with clinical outcomes, in the overall population and according to ICI regimen. RESULTS We included 110 patients with dMMR/MSI-H mCRC. Eighty patients received anti-PD-(L)1 monotherapy and 30 received anti-CTLA-4 combinations. Median TMB was 49 mut/Mb (range: 8-251 mut/Mb). The optimal prognostic cut-off for progression-free survival (PFS) stratification was 23 mut/Mb. Patients with TMB ≤23 mut/Mb had significantly worse PFS (adjusted Hazard Ratio [aHR] = 4.26, 95% confidence interval [CI]:1.85-9.82, p = 0.001) and overall survival (OS) (aHR = 5.14, 95% CI: 1.76-14.98, p = 0.003). Using a cut-off optimised for predicting treatment outcome, anti-CTLA-4 combination was associated with a significant PFS/OS benefit versus anti-PD-(L)1 monotherapy in patients with TMB>40 mut/Mb (2-year PFS: 100.0% versus 70.7%, p = 0.002; 2-year OS: 100.0% versus 76.0%, p = 0.025), but not in those with TMB ≤40 mut/Mb (2-year PFS: 59.7% versus 68.6%, p = 0.888; 2-year OS: 80.0% versus 81.0%, p = 0.949). CONCLUSION Patients with dMMR/MSI-H mCRC and relatively lower TMB value displayed early disease progression when receiving ICIs, whereas patients with the highest TMB values may obtain the maximal benefit from intensified anti-CTLA-4/PD-1 combination.
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Affiliation(s)
- Paolo Manca
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. https://twitter.com/@paomanca
| | - Francesca Corti
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Rossana Intini
- Department of Medical Oncology 1, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Giacomo Mazzoli
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Rosalba Miceli
- Unit of Clinical Epidemiology and Trial Organization, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Marco Maria Germani
- Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Francesca Bergamo
- Department of Medical Oncology 1, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Margherita Ambrosini
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Eleonora Cristarella
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Riccardo Cerantola
- Department of Medical Oncology 1, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy; Department of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy
| | - Chiara Boccaccio
- Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Gianmarco Ricagno
- Department of Medical Oncology 1, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy; Department of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy
| | - Filippo Ghelardi
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giovanni Randon
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giuseppe Leoncini
- First Division of Pathology, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Massimo Milione
- First Division of Pathology, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Matteo Fassan
- Department of Medicine (DIMED), Surgical Pathology Unit, University of Padua, Padua, Italy; Veneto Institute of Oncology IOV, IRCCS, Padua, Italy
| | - Chiara Cremolini
- Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Sara Lonardi
- Department of Medical Oncology 3, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Filippo Pietrantonio
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
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25
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Yakushina V, Kavun A, Veselovsky E, Grigoreva T, Belova E, Lebedeva A, Mileyko V, Ivanov M. Microsatellite Instability Detection: The Current Standards, Limitations, and Misinterpretations. JCO Precis Oncol 2023; 7:e2300010. [PMID: 37315263 DOI: 10.1200/po.23.00010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/06/2023] [Accepted: 04/26/2023] [Indexed: 06/16/2023] Open
Affiliation(s)
- Valentina Yakushina
- OncoAtlas LLC, Moscow, Russian Federation
- Laboratory of Epigenetics, Research Centre for Medical Genetics, Moscow, Russian Federation
| | | | - Egor Veselovsky
- OncoAtlas LLC, Moscow, Russian Federation
- Department of Evolutionary Genetics of Development, Koltzov Institute of Developmental Biology of the Russian Academy of Sciences, Moscow, Russian Federation
| | - Tatiana Grigoreva
- OncoAtlas LLC, Moscow, Russian Federation
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russian Federation
| | - Ekaterina Belova
- OncoAtlas LLC, Moscow, Russian Federation
- Lomonosov Moscow State University, Moscow, Russian Federation
| | | | | | - Maxim Ivanov
- OncoAtlas LLC, Moscow, Russian Federation
- Moscow Institute of Physics and Technology, Moscow, Russian Federation
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26
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Association between Preoperative 18-FDG PET-CT SUVmax and Next-Generation Sequencing Results in Postoperative Ovarian Malignant Tissue in Patients with Advanced Ovarian Cancer. J Clin Med 2023; 12:jcm12062287. [PMID: 36983295 PMCID: PMC10057491 DOI: 10.3390/jcm12062287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 03/07/2023] [Accepted: 03/07/2023] [Indexed: 03/18/2023] Open
Abstract
This study investigated the association between maximum standardized uptake values (SUVmax) on preoperative 18-FDG PET-CT and next-generation sequencing (NGS) results in post-surgical ovarian malignant tissue in patients with advanced ovarian cancer. Twenty-five patients with stage IIIC or IV ovarian cancer who underwent both preoperative 18-FDG PET-CT and postoperative NGS for ovarian malignancies were retrospectively enrolled. Two patients had no detected variants, 21 of the 23 patients with any somatic variant had at least one single nucleotide variant (SNV) or insertion/deletion (indel), 10 patients showed copy number variation (CNV), and two patients had a fusion variant. SUVmax differed according to the presence of SNVs/indels, with an SUVmax of 13.06 for patients with ≥ 1 SNV/indel and 6.28 for patients without (p = 0.003). Seventeen of 20 patients with Tier 2 variants had TP53 variants, and there was a statistically significant association between SUVmax and the presence of TP53 variants (13.21 vs. 9.35, p = 0.041). Analysis of the correlation between the sum of the Tier 1 and Tier 2 numbers and SUVmax showed a statistically significant correlation (p = 0.002; Pearson’s r = 0.588). In conclusion, patients with advanced ovarian cancer with SNVs/indels on NGS, especially those with TP53 Tier 2 variants, showed a proportional association with tumor SUVmax on preoperative PET-CT.
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27
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Chow RD, Michaels T, Bellone S, Hartwich TM, Bonazzoli E, Iwasaki A, Song E, Santin AD. Distinct Mechanisms of Mismatch-Repair Deficiency Delineate Two Modes of Response to Anti-PD-1 Immunotherapy in Endometrial Carcinoma. Cancer Discov 2023; 13:312-331. [PMID: 36301137 PMCID: PMC9905265 DOI: 10.1158/2159-8290.cd-22-0686] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/29/2022] [Accepted: 10/19/2022] [Indexed: 02/07/2023]
Abstract
Mismatch repair-deficient (MMRd) cancers have varied responses to immune-checkpoint blockade (ICB). We conducted a phase II clinical trial of the PD-1 inhibitor pembrolizumab in 24 patients with MMRd endometrial cancer (NCT02899793). Patients with mutational MMRd tumors (6 patients) had higher response rates and longer survival than those with epigenetic MMRd tumors (18 patients). Mutation burden was higher in tumors with mutational MMRd compared with epigenetic MMRd; however, within each category of MMRd, mutation burden was not correlated with ICB response. Pretreatment JAK1 mutations were not associated with primary resistance to pembrolizumab. Longitudinal single-cell RNA-seq of circulating immune cells revealed contrasting modes of antitumor immunity for mutational versus epigenetic MMRd cancers. Whereas effector CD8+ T cells correlated with regression of mutational MMRd tumors, activated CD16+ NK cells were associated with ICB-responsive epigenetic MMRd tumors. These data highlight the interplay between tumor-intrinsic and tumor-extrinsic factors that influence ICB response. SIGNIFICANCE The molecular mechanism of MMRd is associated with response to anti-PD-1 immunotherapy in endometrial carcinoma. Tumors with epigenetic MMRd or mutational MMRd are correlated with NK cell or CD8+ T cell-driven immunity, respectively. Classifying tumors by the mechanism of MMRd may inform clinical decision-making regarding cancer immunotherapy. This article is highlighted in the In This Issue feature, p. 247.
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Affiliation(s)
- Ryan D. Chow
- Department of Genetics, Yale University, New Haven, Connecticut, USA
- System Biology Institute, Yale University, West Haven, Connecticut, USA
- Corresponding authors: Correspondence to: Ryan D. Chow, Address: 850 West Campus Drive, ISTC 314, West Haven CT 06516, , Phone: 203-737-3825, Eric Song, Address: 300 Cedar Street, Suite S630, New Haven, CT 06519, , Phone: 203-785-2919, Alessandro D. Santin, Address: 333 Cedar Street, PO Box 208063, New Haven, CT 06511, , Phone: 203-737-2280
| | - Tai Michaels
- Department of Immunobiology, Yale University, New Haven, Connecticut, USA
| | - Stefania Bellone
- Smilow Comprehensive Cancer Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Tobias M.P. Hartwich
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Elena Bonazzoli
- Smilow Comprehensive Cancer Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Akiko Iwasaki
- Department of Immunobiology, Yale University, New Haven, Connecticut, USA
- Howard Hughes Medical Institute, Yale University, New Haven, Connecticut, USA
| | - Eric Song
- Department of Immunobiology, Yale University, New Haven, Connecticut, USA
- Corresponding authors: Correspondence to: Ryan D. Chow, Address: 850 West Campus Drive, ISTC 314, West Haven CT 06516, , Phone: 203-737-3825, Eric Song, Address: 300 Cedar Street, Suite S630, New Haven, CT 06519, , Phone: 203-785-2919, Alessandro D. Santin, Address: 333 Cedar Street, PO Box 208063, New Haven, CT 06511, , Phone: 203-737-2280
| | - Alessandro D. Santin
- Smilow Comprehensive Cancer Center, Yale University School of Medicine, New Haven, Connecticut, USA
- Corresponding authors: Correspondence to: Ryan D. Chow, Address: 850 West Campus Drive, ISTC 314, West Haven CT 06516, , Phone: 203-737-3825, Eric Song, Address: 300 Cedar Street, Suite S630, New Haven, CT 06519, , Phone: 203-785-2919, Alessandro D. Santin, Address: 333 Cedar Street, PO Box 208063, New Haven, CT 06511, , Phone: 203-737-2280
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28
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Styk J, Pös Z, Pös O, Radvanszky J, Turnova EH, Buglyó G, Klimova D, Budis J, Repiska V, Nagy B, Szemes T. Microsatellite instability assessment is instrumental for Predictive, Preventive and Personalised Medicine: status quo and outlook. EPMA J 2023; 14:143-165. [PMID: 36866160 PMCID: PMC9971410 DOI: 10.1007/s13167-023-00312-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 01/06/2023] [Indexed: 01/26/2023]
Abstract
A form of genomic alteration called microsatellite instability (MSI) occurs in a class of tandem repeats (TRs) called microsatellites (MSs) or short tandem repeats (STRs) due to the failure of a post-replicative DNA mismatch repair (MMR) system. Traditionally, the strategies for determining MSI events have been low-throughput procedures that typically require assessment of tumours as well as healthy samples. On the other hand, recent large-scale pan-tumour studies have consistently highlighted the potential of massively parallel sequencing (MPS) on the MSI scale. As a result of recent innovations, minimally invasive methods show a high potential to be integrated into the clinical routine and delivery of adapted medical care to all patients. Along with advances in sequencing technologies and their ever-increasing cost-effectiveness, they may bring about a new era of Predictive, Preventive and Personalised Medicine (3PM). In this paper, we offered a comprehensive analysis of high-throughput strategies and computational tools for the calling and assessment of MSI events, including whole-genome, whole-exome and targeted sequencing approaches. We also discussed in detail the detection of MSI status by current MPS blood-based methods and we hypothesised how they may contribute to the shift from conventional medicine to predictive diagnosis, targeted prevention and personalised medical services. Increasing the efficacy of patient stratification based on MSI status is crucial for tailored decision-making. Contextually, this paper highlights drawbacks both at the technical level and those embedded deeper in cellular/molecular processes and future applications in routine clinical testing.
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Affiliation(s)
- Jakub Styk
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia ,Comenius University Science Park, 841 04 Bratislava, Slovakia ,Geneton Ltd, 841 04 Bratislava, Slovakia
| | - Zuzana Pös
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Geneton Ltd, 841 04 Bratislava, Slovakia ,Institute of Clinical and Translational Research, Biomedical Research Centre, Slovak Academy of Sciences, 845 05 Bratislava, Slovakia
| | - Ondrej Pös
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Geneton Ltd, 841 04 Bratislava, Slovakia
| | - Jan Radvanszky
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Institute of Clinical and Translational Research, Biomedical Research Centre, Slovak Academy of Sciences, 845 05 Bratislava, Slovakia ,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 841 04 Bratislava, Slovakia
| | - Evelina Hrckova Turnova
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Slovgen Ltd, 841 04 Bratislava, Slovakia
| | - Gergely Buglyó
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Daniela Klimova
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia
| | - Jaroslav Budis
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Geneton Ltd, 841 04 Bratislava, Slovakia ,Slovak Centre of Scientific and Technical Information, 811 04 Bratislava, Slovakia
| | - Vanda Repiska
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia ,Medirex Group Academy, NPO, 949 05 Nitra, Slovakia
| | - Bálint Nagy
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Department of Human Genetics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Tomas Szemes
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Geneton Ltd, 841 04 Bratislava, Slovakia ,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 841 04 Bratislava, Slovakia
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Chen M, Chen J, Huang J, Liu H, Cao W, Luo S, Liu Z, Hu H, Lai S, Hou Y, Kang L, Huang L. Clinical significance of neoadjuvant chemotherapy for locally advanced colorectal cancer patients with deficient mismatch repair: possibly residual value in the era of immunotherapy. Therap Adv Gastroenterol 2023; 16:17562848221150306. [PMID: 36742014 PMCID: PMC9893354 DOI: 10.1177/17562848221150306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 12/22/2022] [Indexed: 01/22/2023] Open
Abstract
Background Deficient mismatch repair (dMMR) or microsatellite instability is one of the well-established molecular biomarkers in colorectal cancer (CRC). The efficiency of neoadjuvant chemotherapy (NAC) in locally advanced colorectal cancer (LACC) patients with dMMR is unclear. Objectives We assessed the tumor response and clinical outcome in LACC patients with dMMR received NAC. Design Retrospective, single-center analysis. Methods From 2013 to 2018, a total of 577 LACC patients with dMMR who underwent radical surgery were identified. Among them, 109 patients who received adjuvant chemotherapy were further screened out for analysis. According to whether receiving NAC or not, 109 patients were divided into two groups with the purpose of retrospectively analyzing their characteristics, treatment, and survival results, especially the 5-year disease-free survival (DFS) and 5-year overall survival. Results Baseline characteristics were matched between the two groups. One of 40 patients in NAC group recurred, while 13 of 69 patients in non-NAC group recurred. Univariate and multivariate analyses showed that NAC (hazard ratio: 0.115; 95% confidence interval: 0.015-0.897; p = 0.039) was independent influence factor for DFS. In NAC group, there were 13/40 (32.5%) patients for tumor regression grade 1 and 27/40 (67.5%) patients converted clinical positive N-stage into negative N-stage. Conclusion In this study, NAC was associated with better tumor downstaging and longer 5-year DFS in LACC patients with dMMR. Consequently, NAC might be an additional treatment choice when it comes to such patients in the future.
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Affiliation(s)
| | | | | | - Huashan Liu
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China,Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wuteng Cao
- Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shuangling Luo
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China,Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhanzhen Liu
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China,Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Huanxin Hu
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China,Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Sicong Lai
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China,Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yujie Hou
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China,Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
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30
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Zablon HA, VonHandorf A, Puga A. Mechanisms of chromate carcinogenesis by chromatin alterations. ADVANCES IN PHARMACOLOGY (SAN DIEGO, CALIF.) 2023; 96:1-23. [PMID: 36858770 DOI: 10.1016/bs.apha.2022.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
In a dynamic environment, organisms must constantly mount an adaptive response to new environmental conditions in order to survive. Novel patterns of gene expression, driven by attendant changes in chromatin architecture, aid in adaptation and survival. Critical mechanisms in the control of gene transcription govern new spatiotemporal chromatin-chromatin interactions that make regulatory DNA elements accessible to the transcription factors that control the response. Consequently, agents that disrupt chromatin structure are likely to have a direct impact on the transcriptional programs of cells and organisms and to drive alterations in fundamental physiological processes. In this regard, hexavalent chromium (Cr(VI)) is of special interest because it interacts directly with cellular proteins, DNA, and other macromolecules, and is likely to upset cell functions that may cause generalized damage to the organism. Here, we will highlight chromium-mediated mechanisms that disrupt chromatin architecture and discuss how these mechanisms are integral to its carcinogenic properties. Emerging evidence indicates that Cr(VI) targets euchromatin, particularly in genomic locations flanking the binding sites of the essential transcription factors CTCF and AP1, and, in so doing, they disrupt nucleosomal architecture. Ultimately, the ensuing changes, if occurring in critical regulatory domains, may establish a new chromatin state, either toxic or adaptive, that will be governed by the corresponding gene transcription changes in key biological processes associated with that state.
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Affiliation(s)
- Hesbon A Zablon
- Department of Environmental and Public Health Sciences and Center for Environmental Genetics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Andrew VonHandorf
- Department of Environmental and Public Health Sciences and Center for Environmental Genetics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Alvaro Puga
- Department of Environmental and Public Health Sciences and Center for Environmental Genetics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
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31
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Kim JW, Moon SW, Mo HY, Son HJ, Choi EJ, Yoo NJ, Ann CH, Lee SH. Concurrent inactivating mutations and expression losses of RGS2, HNF1A, and CAPN12 candidate tumor suppressor genes in colon cancers. Pathol Res Pract 2023; 241:154288. [PMID: 36566600 DOI: 10.1016/j.prp.2022.154288] [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: 11/17/2022] [Revised: 12/19/2022] [Accepted: 12/21/2022] [Indexed: 12/24/2022]
Abstract
Microsatellite instability-high (MSI-H) colorectal cancer (CRC) is different from microsatellite stable (MSS) CRC concerning biological, and clinical features. In MSI-H CRCs, defects of mismatch repair genes produce increased mutation accumulation in repetitive DNA sequences. To see whether candidate tumor suppressor genes (TSGs) are altered in MSI-H CRC, we studied frameshift mutation and protein expression of candidate TSGs of RGS2, HNF1A, HNF1B, CAPN12, RCBTB2, ATE1, PKNOX1, and USP19. We found frameshift mutations of RGS2 in 5 (5%), HNF1A in 6 (6%), HNF1B in 2 (2%), CAPN12 in 3 (3%), RCBTB2 in 4 (4%), ATE1 in 2 (2%), PKNOX1 in 2 (2%), and USP19 in 2 (2%) MSI-H CRCs. However, we found no such mutations in MSS CRCs. RCBTB2, CAPN12, HNF1A, and HNF1B frameshift mutations revealed the regional difference in the same tumors. In addition, we identified loss of RGS2, HNF1A, and CAPN12 protein expression irrespective of MSI phenotype in 13-29% of CRCs. The results indicate that many TSGs harbor concurrent inactivating mutations and protein loss in MSI-H CRCs with intratumoral mutational heterogeneity, and that MSS CRCs are altered by protein losses. These alterations could contribute to CRC development and underlying mechanisms and consequences of the TSG alterations remain to be clarified.
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Affiliation(s)
- Jae Woong Kim
- Departments of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea
| | - Seong Won Moon
- Departments of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea
| | - Ha Yoon Mo
- Departments of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea
| | - Hyun Ji Son
- Departments of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea
| | - Eun Ji Choi
- Departments of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea
| | - Nam Jin Yoo
- Departments of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea
| | - Chang Hyeok Ann
- Departments of General Surgery, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea.
| | - Sug Hyung Lee
- Departments of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea.
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32
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Petropoulos M, Champeris Tsaniras S, Nikou S, Maxouri S, Dionellis VS, Kalogeropoulou A, Karamichali A, Ioannidis K, Danalatos IR, Obst M, Naumann R, Delinasios GJ, Gorgoulis VG, Roukos V, Anastassiadis K, Halazonetis TD, Bravou V, Lygerou Z, Taraviras S. Cdt1 overexpression drives colorectal carcinogenesis through origin overlicensing and DNA damage. J Pathol 2023; 259:10-20. [PMID: 36210634 DOI: 10.1002/path.6017] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 09/20/2022] [Accepted: 10/05/2022] [Indexed: 11/11/2022]
Abstract
Chromatin licensing and DNA replication factor 1 (CDT1), a protein of the pre-replicative complex, is essential for loading the minichromosome maintenance complex (MCM) helicases onto the origins of DNA replication. While several studies have shown that dysregulation of CDT1 expression causes re-replication and DNA damage in cell lines, and CDT1 is highly expressed in several human cancers, whether CDT1 deregulation is sufficient to enhance tumorigenesis in vivo is currently unclear. To delineate its role in vivo, we overexpressed Cdt1 in the mouse colon and induced carcinogenesis using azoxymethane/dextran sodium sulfate (AOM/DSS). Here, we show that mice overexpressing Cdt1 develop a significantly higher number of tumors with increased tumor size, and more severe dysplastic changes (high-grade dysplasia), compared with control mice under the same treatment. These tumors exhibited an increased growth rate, while cells overexpressing Cdt1 loaded greater amounts of Mcm2 onto chromatin, demonstrating origin overlicensing. Adenomas overexpressing Cdt1 showed activation of the DNA damage response (DDR), apoptosis, formation of micronuclei, and chromosome segregation errors, indicating that aberrant expression of Cdt1 results in increased genomic and chromosomal instability in vivo, favoring cancer development. In line with these results, high-level expression of CDT1 in human colorectal cancer tissue specimens and colorectal cancer cell lines correlated significantly with increased origin licensing, activation of the DDR, and microsatellite instability (MSI). © 2022 The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Michalis Petropoulos
- Department of Physiology, Medical School, University of Patras, Patras, Greece.,Department of General Biology, Medical School, University of Patras, Patras, Greece
| | | | - Sofia Nikou
- Department of Anatomy-Histology-Embryology, School of Medicine, University of Patras, Patras, Greece
| | - Styliani Maxouri
- Department of General Biology, Medical School, University of Patras, Patras, Greece
| | | | | | | | | | | | - Mandy Obst
- Stem Cell Engineering, Biotechnology Center, Center for Molecular and Cellular Bioengineering, University of Technology Dresden, Dresden, Germany
| | - Ronald Naumann
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | | | - Vassilis G Gorgoulis
- Department of Histology and Embryology, School of Medicine, National Kapodistrian University of Athens, Athens, Greece.,Biomedical Research Foundation of the Academy of Athens, Athens, Greece.,Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | | | - Konstantinos Anastassiadis
- Stem Cell Engineering, Biotechnology Center, Center for Molecular and Cellular Bioengineering, University of Technology Dresden, Dresden, Germany
| | | | - Vasiliki Bravou
- Department of Anatomy-Histology-Embryology, School of Medicine, University of Patras, Patras, Greece
| | - Zoi Lygerou
- Department of General Biology, Medical School, University of Patras, Patras, Greece
| | - Stavros Taraviras
- Department of Physiology, Medical School, University of Patras, Patras, Greece
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Chan EM, Foster KJ, Bass AJ. WRN Is a Promising Synthetic Lethal Target for Cancers with Microsatellite Instability (MSI). Cancer Treat Res 2023; 186:313-328. [PMID: 37978143 DOI: 10.1007/978-3-031-30065-3_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Microsatellite instability (MSI), a type of genetic hypermutability arising from impaired DNA mismatch repair (MMR), is observed in approximately 3% of all cancers. Preclinical work has identified the RecQ helicase WRN as a promising synthetic lethal target for patients with MSI cancers. WRN depletion substantially impairs the viability of MSI, but not microsatellite stable (MSS), cells. Experimental evidence suggests that this synthetic lethal phenotype is driven by numerous TA dinucleotide repeats that undergo expansion mutations in the setting of long-standing MMR deficiency. The lengthening of TA repeats increases their propensity to form secondary DNA structures that require WRN to resolve. In the absence of WRN helicase activity, these unresolved DNA secondary structures stall DNA replication forks and induce catastrophic DNA damage.
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Affiliation(s)
- Edmond M Chan
- Department of Medicine, Division of Hematology and Oncology, Columbia University, New York, USA.
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, USA.
- Broad Institute of MIT and Harvard, Cambridge, USA.
- New York Genome Center, New York, USA.
| | | | - Adam J Bass
- Novartis Institutes for BioMedical Research, Cambridge, USA
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34
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Lin Z, Wang T, Li H, Xiao M, Ma X, Gu Y, Qiang J. Magnetic resonance-based radiomics nomogram for predicting microsatellite instability status in endometrial cancer. Quant Imaging Med Surg 2023; 13:108-120. [PMID: 36620141 PMCID: PMC9816750 DOI: 10.21037/qims-22-255] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 09/05/2022] [Indexed: 11/30/2022]
Abstract
Background Microsatellite instability (MSI) status is an important indicator for screening patients with endometrial cancer (EC) who have potential Lynch syndrome (LS) and may benefit from immunotherapy. This study aimed to develop a magnetic resonance imaging (MRI)-based radiomics nomogram for the prediction of MSI status in EC. Methods A total of 296 patients with histopathologically diagnosed EC were enrolled, and their MSI status was determined using immunohistochemical (IHC) analysis. Patients were randomly divided into the training cohort (n=236) and the validation cohort (n=60) at a ratio of 8:2. To predict the MSI status in EC, the tumor radiomics features were extracted from T2-weighted images and contrast-enhanced T1-weighted images, which in turn were selected using one-way analysis of variance (ANOVA) and the least absolute shrinkage and selection operator (LASSO) algorithm to build the radiomics signature (radiomics score; radscore) model. Five clinicopathologic characteristics were used to construct a clinicopathologic model. Finally, the nomogram model combining radscore and clinicopathologic characteristics was constructed. The performance of the three models was evaluated using receiver operating characteristic (ROC), calibration, and decision curve analyses (DCA). Results Totals of 21 radiomics features and five clinicopathologic characteristics were selected to develop the radscore and clinicopathological models. The radscore and clinicopathologic models achieved an area under the curve (AUC) of 0.752 and 0.600, respectively, in the training cohort; and of 0.723 and 0.615, respectively, in the validation cohort. The radiomics nomogram model showed improved discrimination efficiency compared with the radscore and clinicopathologic models, with an AUC of 0.773 and 0.740 in the training and validation cohorts, respectively. The calibration curve analysis and DCA showed favorable calibration and clinical utility of the nomogram model. Conclusions The nomogram incorporating MRI-based radiomics features and clinicopathologic characteristics could be a potential tool for the prediction of MSI status in EC.
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Affiliation(s)
- Zijing Lin
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ting Wang
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Haiming Li
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Meiling Xiao
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Xiaoliang Ma
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Yajia Gu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jinwei Qiang
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
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Han S, Chok AY, Peh DYY, Ho JZM, Tan EKW, Koo SL, Tan IBH, Ong JCA. The distinct clinical trajectory, metastatic sites, and immunobiology of microsatellite-instability-high cancers. Front Genet 2022; 13:933475. [DOI: 10.3389/fgene.2022.933475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 10/17/2022] [Indexed: 12/03/2022] Open
Abstract
Microsatellite-instability-high (MSI-H) cancers form a spectrum of solid organ tumors collectively known as Lynch Syndrome cancers, occurring not only in a subset of colorectal, endometrial, small bowel, gastric, pancreatic, and biliary tract cancers but also in prostate, breast, bladder, and thyroid cancers. Patients with Lynch Syndrome harbor germline mutations in mismatch repair genes, with a high degree of genomic instability, leading to somatic hypermutations and, therefore, oncogenesis and cancer progression. MSI-H cancers have unique clinicopathological characteristics compared to their microsatellite-stable (MSS) counterparts, marked by a higher neoantigen load, immune cell infiltration, and a marked clinical response to immune checkpoint blockade. Patients with known Lynch Syndrome may be detected early through surveillance, but some patients present with disseminated metastatic disease. The treatment landscape of MSI-H cancers, especially colorectal cancers, has undergone a paradigm shift and remains to be defined, with immune checkpoint blockade coming to the forefront of treatment strategies in the stage IV setting. We summarize in this review the clinical features of MSI-H cancers with a specific interest in the pattern of spread or recurrence, disease trajectory, and treatment strategies. We also summarize the tumor-immune landscape and genomic profile of MSI-H cancers and potential novel therapeutic strategies.
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Vafaei S, Taheri H, Hajimomeni Y, Fakhre Yaseri A, Abolhasani Zadeh F. The role of NLRP3 inflammasome in colorectal cancer: potential therapeutic target. Clin Transl Oncol 2022; 24:1881-1889. [PMID: 35689136 DOI: 10.1007/s12094-022-02861-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 05/12/2022] [Indexed: 12/24/2022]
Abstract
All phases of carcinogenesis are affected by inflammation. Activation of the inflammasome is a crucial signaling mechanism that leads to acute and chronic inflammation. When specific nucleotide-binding domains, leucine-rich repeat-containing proteins (NLRs) are activated, inflammasomes are formed. The NLRP3 is one of the NLR family members with the most functional characterization. NLRP3 can modulate the immune systems, apoptosis, growth, and/or the gut microbiome to impact cancer development. Colorectal cancer (CRC) is one of the most common cancers, and it begins as a tissue overgrowth on the internal part of the rectum or colon. In vivo and in vitro studies showed that the NLRP3 inflammasome has a role in CRC development due to its broad activity in shaping immune responses. Here, onwards, we focus on the NLRP3 inflammasome role in CRC development, as well as the therapeutic prospective of modifying NLRP3 inflammasome in the context of anti-cancer therapy.
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Affiliation(s)
- Somayeh Vafaei
- Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Hamed Taheri
- Internal Medicine Cellular and Molecular, Research Center, Zahedan University of Medical Sciences, Fellowship of GI in Mashhad University of Medical Sciences, Zahedan, Iran
| | - Yasamin Hajimomeni
- Islamic Azad University of Medical Science, Qeshm International Branch, Qeshm, Iran
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Kloeber JA, Lou Z. Critical DNA damaging pathways in tumorigenesis. Semin Cancer Biol 2022; 85:164-184. [PMID: 33905873 PMCID: PMC8542061 DOI: 10.1016/j.semcancer.2021.04.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 04/13/2021] [Accepted: 04/15/2021] [Indexed: 12/22/2022]
Abstract
The acquisition of DNA damage is an early driving event in tumorigenesis. Premalignant lesions show activated DNA damage responses and inactivation of DNA damage checkpoints promotes malignant transformation. However, DNA damage is also a targetable vulnerability in cancer cells. This requires a detailed understanding of the cellular and molecular mechanisms governing DNA integrity. Here, we review current work on DNA damage in tumorigenesis. We discuss DNA double strand break repair, how repair pathways contribute to tumorigenesis, and how double strand breaks are linked to the tumor microenvironment. Next, we discuss the role of oncogenes in promoting DNA damage through replication stress. Finally, we discuss our current understanding on DNA damage in micronuclei and discuss therapies targeting these DNA damage pathways.
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Affiliation(s)
- Jake A Kloeber
- Department of Oncology, Mayo Clinic, Rochester, MN, 55905, USA; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, 55905, USA; Mayo Clinic Medical Scientist Training Program, Mayo Clinic, Rochester, MN, 55905, USA
| | - Zhenkun Lou
- Department of Oncology, Mayo Clinic, Rochester, MN, 55905, USA.
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Kang SY, Kim DG, Kim KM. BAT26 Only Microsatellite Instability with High Tumor Mutation Burden—A Rare Entity Associated with PTEN Protein Loss and High PD-L1 Expression. Int J Mol Sci 2022; 23:ijms231810730. [PMID: 36142641 PMCID: PMC9504117 DOI: 10.3390/ijms231810730] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/07/2022] [Accepted: 09/11/2022] [Indexed: 11/16/2022] Open
Abstract
Detecting microsatellite instability (MSI) in advanced cancers is crucial for clinical decision-making, as it helps in identifying patients with differential treatment responses and prognoses. BAT26 is a highly sensitive MSI marker that defines the mismatch repair (MMR) status with high sensitivity and specificity. However, isolated BAT26-only instability is rare and has not been previously reported. Of the 6476 cases tested using pentaplex MSI polymerase chain reaction, we identified two BAT26-only instability cases (0.03%) in this study. The case #1 patient was diagnosed with endometrial adenocarcinoma without MMR germline mutations. The endometrial tumor showed BAT26-only instability, partial loss of MLH1/PMS2 protein expression, and a high programmed cell death ligand 1 (PD-L1) combined positive score (CPS = 8). The tumor exhibited a somatic phosphatase and tensin homolog (PTEN) R303P missense mutation and loss of the PTEN protein. On a comprehensive cancer panel sequencing with ≥500 genes, the tumor showed an MSI score of 11.38% and high tumor mutation burden (TMB) (19.5 mt/mb). The case #2 patient was diagnosed with colorectal carcinoma with proficient MMR and PTEN protein loss without PTEN alteration, as well as a high PD-L1 CPS (CPS = 10). A pathogenic KRAS A146T mutation was detected with an MSI score of 3.36% and high TMB (13 mt/mb). In conclusion, BAT26-only instability is very rare and associated with PTEN protein loss, high TMB, and a high PD-L1 score. Our results suggest that patients with BAT26-only instability may show good responses to immunotherapy.
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Affiliation(s)
- So Young Kang
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Deok Geun Kim
- Department of Clinical Genomic Center, Samsung Medical Center, Seoul 06351, Korea
- Department of Digital Health, Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul 06351, Korea
| | - Kyoung-Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
- Center of Companion Diagnostics, Samsung Medical Center, Seoul 06351, Korea
- Correspondence: ; Tel.: +82-2-3410-2807; Fax: +82-2-3410-6396
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Wang Z, Moffitt AB, Andrews P, Wigler M, Levy D. Accurate measurement of microsatellite length by disrupting its tandem repeat structure. Nucleic Acids Res 2022; 50:e116. [PMID: 36095132 PMCID: PMC9723644 DOI: 10.1093/nar/gkac723] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 08/03/2022] [Accepted: 08/15/2022] [Indexed: 12/24/2022] Open
Abstract
Tandem repeats of simple sequence motifs, also known as microsatellites, are abundant in the genome. Because their repeat structure makes replication error-prone, variant microsatellite lengths are often generated during germline and other somatic expansions. As such, microsatellite length variations can serve as markers for cancer. However, accurate error-free measurement of microsatellite lengths is difficult with current methods precisely because of this high error rate during amplification. We have solved this problem by using partial mutagenesis to disrupt enough of the repeat structure of initial templates so that their sequence lengths replicate faithfully. In this work, we use bisulfite mutagenesis to convert a C to a U, later read as T. Compared to untreated templates, we achieve three orders of magnitude reduction in the error rate per round of replication. By requiring agreement from two independent first copies of an initial template, we reach error rates below one in a million. We apply this method to a thousand microsatellite loci from the human genome, revealing microsatellite length distributions not observable without mutagenesis.
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Affiliation(s)
| | | | - Peter Andrews
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | | | - Dan Levy
- To whom correspondence should be addressed. Tel: +1 516 367 5039; Fax: +1 516 367 8381;
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Microsatellite Instability: From the Implementation of the Detection to a Prognostic and Predictive Role in Cancers. Int J Mol Sci 2022; 23:ijms23158726. [PMID: 35955855 PMCID: PMC9369169 DOI: 10.3390/ijms23158726] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 07/26/2022] [Accepted: 08/03/2022] [Indexed: 02/07/2023] Open
Abstract
Microsatellite instability (MSI) has been identified in several tumors arising from either germline or somatic aberration. The presence of MSI in cancer predicts the sensitivity to immune checkpoint inhibitors (ICIs), particularly PD1/PD-L1 inhibitors. To date, the predictive role of MSI is currently used in the selection of colorectal cancer patients for immunotherapy; moreover, the expansion of clinical trials into other cancer types may elucidate the predictive value of MSI for non-colorectal tumors. In clinical practice, several assays are used for MSI testing, including immunohistochemistry (IHC), polymerase chain reaction (PCR) and next-generation sequencing (NGS). In this review, we provide an overview of MSI in various cancer types, highlighting its potential predictive/prognostic role and the clinical trials performed. Finally, we focus on the comparison data between the different assays used to detect MSI in clinical practice.
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Xu L, Shao F, Luo T, Li Q, Tan D, Tan Y. Pan-Cancer Analysis Identifies CHD5 as a Potential Biomarker for Glioma. Int J Mol Sci 2022; 23:ijms23158489. [PMID: 35955624 PMCID: PMC9369136 DOI: 10.3390/ijms23158489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/19/2022] [Accepted: 07/27/2022] [Indexed: 02/01/2023] Open
Abstract
The chromodomain helicase DNA binding domain 5 (CHD5) is required for neural development and plays an important role in the regulation of gene expression. Although CHD5 exerts a broad tumor suppressor effect in many tumor types, its specific functions regarding its expression levels, and impact on immune cell infiltration, proliferation and migration in glioma remain unclear. Here, we evaluated the role of CHD5 in tumor immunity in a pan-cancer multi-database using the R language. The Cancer Genome Atlas (TCGA), Genotype Tissue Expression (GTEx), and Cancer Cell Lines Encyclopedia (CCLE) datasets were utilized to determine the role of CHD5 in 33 types of cancers, including the expression level, prognosis, tumor progression, and immune microenvironment. Furthermore, we explored the effect of CHD5 on glioma proliferation and migration using the cell counting kit 8 (CCK-8) assay, transwell assays and western blot analysis. The findings from our pan-cancer analysis showed that CHD5 was differentially expressed in the tumor tissues as compared to the normal tissues. Survival analysis showed that CHD5 was generally associated with the prognosis of glioblastoma (GBM), low Grade Glioma (LGG) and neuroblastoma, where the low expression of CHD5 was associated with a worse prognosis in glioma patients. Then, we confirmed that the expression level of CHD5 was associated with tumor immune infiltration and tumor microenvironment, especially in glioma. Moreover, si-RNA mediated knockdown of CHD5 promoted the proliferation and migration of glioma cells in vitro. In conclusion, CHD5 was found to be differentially expressed in the pan-cancer analysis and might play an important role in antitumor immunity. CHD5 is expected to be a potential tumor prognostic marker, especially in glioma.
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Affiliation(s)
- Lei Xu
- Laboratory Animal Center, Chongqing Medical University, Chongqing 400016, China; (L.X.); (T.L.); (Q.L.); (D.T.)
| | - Fengling Shao
- The Ministry of Education Key Laboratory of Laboratory Medical Diagnostics, The College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, China;
| | - Tengling Luo
- Laboratory Animal Center, Chongqing Medical University, Chongqing 400016, China; (L.X.); (T.L.); (Q.L.); (D.T.)
| | - Qijun Li
- Laboratory Animal Center, Chongqing Medical University, Chongqing 400016, China; (L.X.); (T.L.); (Q.L.); (D.T.)
| | - Dongmei Tan
- Laboratory Animal Center, Chongqing Medical University, Chongqing 400016, China; (L.X.); (T.L.); (Q.L.); (D.T.)
| | - Yi Tan
- Laboratory Animal Center, Chongqing Medical University, Chongqing 400016, China; (L.X.); (T.L.); (Q.L.); (D.T.)
- Correspondence:
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Association of microsatellite instability (MSI) status with the 5-year outcome and genetic ancestry in a large Brazilian cohort of colorectal cancer. Eur J Hum Genet 2022; 30:824-832. [PMID: 35474354 PMCID: PMC9259739 DOI: 10.1038/s41431-022-01104-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 02/04/2022] [Accepted: 04/12/2022] [Indexed: 12/22/2022] Open
Abstract
Colorectal cancer (CRC) has a high incidence and mortality worldwide. Microsatellite instability (MSI) is crucial in CRC, with distinct molecular and clinicopathological features in patients. Nowadays, it is a predictive marker for immunotherapy. We proposed to evaluate the 5-year outcome of MSI status in 1002 Brazilian CRC, and associate it with genetic ancestry, molecular and clinicopathological features. MSI evaluation was performed using molecular markers. MSI+ tumors were analyzed for alterations in 23 MSI-targeted genes. Genetic ancestry was evaluated using an Ancestry-Informative markers panel. MSI status was analyzed in relation to CRC specific survival and other clinical and genetic variables. MSI+ status was observed in 10.5% of cases. MSI+ status was significantly associated with the anatomic site right colon, mucinous histological type, clinical stage II, histological grade III/undifferentiated, no recurrence of disease, and live cases without cancer. No association of MSI status with genetic ancestry components was observed. MSI-targeted genes analyses showed the most frequently altered genes: ATM, EGFR, MRE11, ROCK1, and TGFBRII. There was a statistically significant difference in cancer-specific survival between cases according to MSI status. This study constitutes the most comprehensive analyses of the MSI impact on the Brazilian CRC. MSI+ frequency in Brazilian CRC agreed with the literature and was associated with several clinicopathological features related with less aggressive tumors, independently of their genetic ancestry.
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Ali R, Aouida M, Alhaj Sulaiman A, Madhusudan S, Ramotar D. Can Cisplatin Therapy Be Improved? Pathways That Can Be Targeted. Int J Mol Sci 2022; 23:ijms23137241. [PMID: 35806243 PMCID: PMC9266583 DOI: 10.3390/ijms23137241] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 06/23/2022] [Accepted: 06/24/2022] [Indexed: 02/04/2023] Open
Abstract
Cisplatin (cis-diamminedichloroplatinum (II)) is the oldest known chemotherapeutic agent. Since the identification of its anti-tumour activity, it earned a remarkable place as a treatment of choice for several cancer types. It remains effective against testicular, bladder, lung, head and neck, ovarian, and other cancers. Cisplatin treatment triggers different cellular responses. However, it exerts its cytotoxic effects by generating inter-strand and intra-strand crosslinks in DNA. Tumour cells often develop tolerance mechanisms by effectively repairing cisplatin-induced DNA lesions or tolerate the damage by adopting translesion DNA synthesis. Cisplatin-associated nephrotoxicity is also a huge challenge for effective therapy. Several preclinical and clinical studies attempted to understand the major limitations associated with cisplatin therapy, and so far, there is no definitive solution. As such, a more comprehensive molecular and genetic profiling of patients is needed to identify those individuals that can benefit from platinum therapy. Additionally, the treatment regimen can be improved by combining cisplatin with certain molecular targeted therapies to achieve a balance between tumour toxicity and tolerance mechanisms. In this review, we discuss the importance of various biological processes that contribute to the resistance of cisplatin and its derivatives. We aim to highlight the processes that can be modulated to suppress cisplatin resistance and provide an insight into the role of uptake transporters in enhancing drug efficacy.
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Affiliation(s)
- Reem Ali
- Division of Biological and Biomedical Sciences, College of Health and Life Sciences, Hamad Bin Khalifa University, Education City, Qatar Foundation, Doha P.O. Box 34110, Qatar; (M.A.); (A.A.S.)
- Correspondence: (R.A.); (D.R.)
| | - Mustapha Aouida
- Division of Biological and Biomedical Sciences, College of Health and Life Sciences, Hamad Bin Khalifa University, Education City, Qatar Foundation, Doha P.O. Box 34110, Qatar; (M.A.); (A.A.S.)
| | - Abdallah Alhaj Sulaiman
- Division of Biological and Biomedical Sciences, College of Health and Life Sciences, Hamad Bin Khalifa University, Education City, Qatar Foundation, Doha P.O. Box 34110, Qatar; (M.A.); (A.A.S.)
| | - Srinivasan Madhusudan
- Biodiscovery Institute, School of Medicine, University of Nottingham, University Park, Nottingham NG7 3RD, UK;
| | - Dindial Ramotar
- Division of Biological and Biomedical Sciences, College of Health and Life Sciences, Hamad Bin Khalifa University, Education City, Qatar Foundation, Doha P.O. Box 34110, Qatar; (M.A.); (A.A.S.)
- Correspondence: (R.A.); (D.R.)
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Jeon SA, Ha YJ, Kim JH, Kim JH, Kim SK, Kim YS, Kim SY, Kim JC. Genomic and transcriptomic analysis of Korean colorectal cancer patients. Genes Genomics 2022; 44:967-979. [PMID: 35751785 PMCID: PMC9273532 DOI: 10.1007/s13258-022-01275-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 06/01/2022] [Indexed: 12/24/2022]
Abstract
Background Colorectal cancer (CRC) is the third most common type of diagnosed cancer in the world and has the second-highest mortality rate. Meanwhile, South Korea has the second-highest incidence rate for CRC in the world. Objective To assess the possible influence of ethnicity on the molecular profile of colorectal cancer, we compared genomic and transcriptomic features of South Korean CRCs with European CRCs. Methods We assembled a genomic and transcriptomic dataset of South Korean CRC patients (KOCRC; n = 126) from previous studies and European cases (EUCRC; n = 245) selected from The Cancer Genome Atlas (TCGA). Then, we compared the two datasets in terms of clinical data, driver genes, mutational signature, gene sets, consensus molecular subtype, and fusion genes. Results These two cohorts showed similar profiles in driver mutations but differences in the mutation frequencies of some driver genes (including APC, TP53, PABPC1, FAT4, MUC7, HSPG2, GNAS, DENND5B, and BRAF). Analysis of hallmark pathways using genomic data sets revealed further differences between these populations in the WNT, TP53, and NOTCH signaling pathways. In consensus molecular subtype (CMS) analyses of the study cases, no BRAF mutations were found in the CMS1 subtype of KOCRC, which contrasts with previous findings. Fusion gene analysis identified oncogenic fusion of PTPRK-RSPO3 in a subset of KOCRC patients without APC mutations. Conclusions This study presents insights into the genomic landscape of KOCRCs and reveals some similarities and differences with EUCRCs at the molecular level. Supplementary Information The online version contains supplementary material available at 10.1007/s13258-022-01275-4.
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Affiliation(s)
- Sol A Jeon
- Personalized Genomic Medicine Research Center, Daejeon, South Korea.,Korea Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea.,Department of Functional Genomics, University of Science and Technology (UST), Daejeon, South Korea
| | - Ye Jin Ha
- Asan Institute for Life Sciences, Asan Medical Center, Seoul, 05505, South Korea
| | - Jong-Hwan Kim
- Personalized Genomic Medicine Research Center, Daejeon, South Korea.,Korea Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea
| | - Jeong-Hwan Kim
- Personalized Genomic Medicine Research Center, Daejeon, South Korea
| | - Seon-Kyu Kim
- Personalized Genomic Medicine Research Center, Daejeon, South Korea.,Department of Functional Genomics, University of Science and Technology (UST), Daejeon, South Korea
| | - Yong Sung Kim
- Personalized Genomic Medicine Research Center, Daejeon, South Korea.,Korea Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea.,Department of Functional Genomics, University of Science and Technology (UST), Daejeon, South Korea
| | - Seon-Young Kim
- Personalized Genomic Medicine Research Center, Daejeon, South Korea. .,Korea Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea. .,Department of Functional Genomics, University of Science and Technology (UST), Daejeon, South Korea.
| | - Jin Cheon Kim
- Asan Institute for Life Sciences, Asan Medical Center, Seoul, 05505, South Korea. .,Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, South Korea.
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Chakravarty D, Johnson A, Sklar J, Lindeman NI, Moore K, Ganesan S, Lovly CM, Perlmutter J, Gray SW, Hwang J, Lieu C, André F, Azad N, Borad M, Tafe L, Messersmith H, Robson M, Meric-Bernstam F. Somatic Genomic Testing in Patients With Metastatic or Advanced Cancer: ASCO Provisional Clinical Opinion. J Clin Oncol 2022; 40:1231-1258. [PMID: 35175857 DOI: 10.1200/jco.21.02767] [Citation(s) in RCA: 86] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
PURPOSE An ASCO provisional clinical opinion offers timely clinical direction to ASCO's membership following publication or presentation of potentially practice-changing data from major studies. This provisional clinical opinion addresses the appropriate use of tumor genomic testing in patients with metastatic or advanced solid tumors. CLINICAL CONTEXT An increasing number of therapies are approved to treat cancers harboring specific genomic biomarkers. However, there is a lack of clarity as to when tumor genomic sequencing should be ordered, what type of assays should be performed, and how to interpret the results for treatment selection. PROVISIONAL CLINICAL OPINION Patients with metastatic or advanced cancer should undergo genomic sequencing in a certified laboratory if the presence of one or more specific genomic alterations has regulatory approval as biomarkers to guide the use of or exclusion from certain treatments for their disease. Multigene panel-based assays should be used if more than one biomarker-linked therapy is approved for the patient's disease. Site-agnostic approvals for any cancer with a high tumor mutation burden, mismatch repair deficiency, or neurotrophic tyrosine receptor kinase (NTRK) fusions provide a rationale for genomic testing for all solid tumors. Multigene testing may also assist in treatment selection by identifying additional targets when there are few or no genotype-based therapy approvals for the patient's disease. For treatment planning, the clinician should consider the functional impact of the targeted alteration and expected efficacy of genomic biomarker-linked options relative to other approved or investigational treatments.Additional information is available at www.asco.org/assays-and-predictive-markers-guidelines.
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Affiliation(s)
| | | | | | - Neal I Lindeman
- Brigham and Womens' Hospital, Harvard Medical School, Boston, MA
| | | | | | | | | | | | | | | | - Fabrice André
- PRISM, Precision Medicine Center, Institut Gustave Roussy, Villejuif, France
| | | | | | - Laura Tafe
- Dartmouth-Hitchcock Medical Center and The Geisel School of Medicine at Dartmouth, Darmouth, NH
| | | | - Mark Robson
- Memorial Sloan Kettering Cancer Center, New York City, NY
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Kang SY, Kim DG, Ahn S, Ha SY, Jang KT, Kim KM. Comparative analysis of microsatellite instability by next-generation sequencing, MSI PCR and MMR immunohistochemistry in 1942 solid cancers. Pathol Res Pract 2022; 233:153874. [PMID: 35405622 DOI: 10.1016/j.prp.2022.153874] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 03/15/2022] [Accepted: 03/30/2022] [Indexed: 11/25/2022]
Abstract
Checkpoint inhibitor approval for microsatellite instability-high (MSI-H) tumours has made MSI as a therapeutically important biomarker. Next-generation sequencing (NGS)-based MSI detection is being widely used for assessing MSI. However, MSI tumours detected using NGS and their relevance to MSI-polymerase chain reaction (PCR) and mismatch repair deficiency (dMMR) are unclear. In 1942 solid cancer cases tested using NGS-based comprehensive cancer panel with 523 genes (1.94 mb), the MSI score, tumour mutation burden (TMB; ≥ 10 mutations/mb), and frameshift mutations were analysed. GeneScan analyses of five mononucleotide markers (MSI-PCR) and MMR protein immunohistochemistry (IHC) were compared with the NGS-MSI results. With a ≥ 12% MSI score as a cut-off for MSI-H, two MSS cases were classified as MSI-H. With a ≥ 20% cut-off, 10 cases categorised as MSS by NGS were MSI-H/dMMR by MSI-PCR and MMR IHC. To avoid discrepant cases, we adopted a high MSI cut-off and a borderline MSI category. Finally, MSI-H (≥ 20%), borderline MSI (≥ 7% and < 20%), and MSS (< 7%) were found in 35 (1.8%), 24 (1.2%), and 1883 (97%) cases, respectively. All MSI-H cases by NGS were MSI-H/dMMR by MSI-PCR and MMR IHC. Of the 24 borderline MSI cases by NGS, MSI-H/dMMR was 9 (37.5%) cases, MSS/dMMR was 1 (4.2%) case, and 11 (45.8%) of them had high TMB. All MSS cases by NGS were MSS/pMMR by MSI-PCR/IHC, and 257 (13.6%) had high TMB. With those arbitrary cut-off points, 10 (0.5%) MSS cases using NGS were discrepant with MSI-PCR or MMR IHC, and all were borderline MSI cases. The mean number of frameshift mutations was significantly higher in the MSI-H group (28.3) than in the borderline MSI (7.7) or MSS (1.3) groups (p < 0.001). In conclusion, to facilitate therapeutic decision-making for NGS, cut-off points for MSI can be defined based on MSI-PCR/dMMR confirmation.
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Affiliation(s)
- So Young Kang
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Deok Geun Kim
- Department of Clinical Genomic Center, Samsung Medical Center, Seoul, Republic of Korea; Department of Digital Health, Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Soomin Ahn
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sang Yun Ha
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kee-Taek Jang
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyoung-Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Department of Clinical Genomic Center, Samsung Medical Center, Seoul, Republic of Korea; Center of Companion Diagnostics, Samsung Medical Center, Seoul, Republic of Korea.
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Mas-Ponte D, McCullough M, Supek F. Spectrum of DNA mismatch repair failures viewed through the lens of cancer genomics and implications for therapy. Clin Sci (Lond) 2022; 136:383-404. [PMID: 35274136 PMCID: PMC8919091 DOI: 10.1042/cs20210682] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 02/02/2022] [Accepted: 02/28/2022] [Indexed: 12/15/2022]
Abstract
Genome sequencing can be used to detect DNA repair failures in tumors and learn about underlying mechanisms. Here, we synthesize findings from genomic studies that examined deficiencies of the DNA mismatch repair (MMR) pathway. The impairment of MMR results in genome-wide hypermutation and in the 'microsatellite instability' (MSI) phenotype-occurrence of indel mutations at short tandem repeat (microsatellite) loci. The MSI status of tumors was traditionally assessed by molecular testing of a selected set of MS loci or by measuring MMR protein expression levels. Today, genomic data can provide a more complete picture of the consequences on genomic instability. Multiple computational studies examined somatic mutation distributions that result from failed DNA repair pathways in tumors. These include analyzing the commonly studied trinucleotide mutational spectra of single-nucleotide variants (SNVs), as well as of other features such as indels, structural variants, mutation clusters and regional mutation rate redistribution. The identified mutation patterns can be used to rigorously measure prevalence of MMR failures across cancer types, and potentially to subcategorize the MMR deficiencies. Diverse data sources, genomic and pre-genomic, from human and from experimental models, suggest there are different ways in which MMR can fail, and/or that the cell-type or genetic background may result in different types of MMR mutational patterns. The spectrum of MMR failures may direct cancer evolution, generating particular sets of driver mutations. Moreover, MMR affects outcomes of therapy by DNA damaging drugs, antimetabolites, nonsense-mediated mRNA decay (NMD) inhibitors, and immunotherapy by promoting either resistance or sensitivity, depending on the type of therapy.
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Affiliation(s)
- David Mas-Ponte
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute for Science and Technology, Baldiri Reixac 10, Barcelona 08028, Spain
| | - Marcel McCullough
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute for Science and Technology, Baldiri Reixac 10, Barcelona 08028, Spain
| | - Fran Supek
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute for Science and Technology, Baldiri Reixac 10, Barcelona 08028, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Pg Lluís Companys, 23, Barcelona 08010, Spain
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Targeting DNA Damage Response and Immune Checkpoint for Anticancer Therapy. Int J Mol Sci 2022; 23:ijms23063238. [PMID: 35328658 PMCID: PMC8952261 DOI: 10.3390/ijms23063238] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/12/2022] [Accepted: 03/15/2022] [Indexed: 01/27/2023] Open
Abstract
Deficiency in DNA damage response (DDR) genes leads to impaired DNA repair functions that will induce genomic instability and facilitate cancer development. However, alterations of DDR genes can serve as biomarkers for the selection of suitable patients to receive specific therapeutics, such as immune checkpoint blockade (ICB) therapy. In addition, certain altered DDR genes can be ideal therapeutic targets through adapting the mechanism of synthetic lethality. Recent studies indicate that targeting DDR can improve cancer immunotherapy by modulating the immune response mediated by cGAS-STING-interferon signaling. Investigations of the interplay of DDR-targeting and ICB therapies provide more effective treatment options for cancer patients. This review introduces the mechanisms of DDR and discusses their crucial roles in cancer therapy based on the concepts of synthetic lethality and ICB. The contemporary clinical trials of DDR-targeting and ICB therapies in breast, colorectal, and pancreatic cancers are included.
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The Prognostic Value and Immunological Role of STEAP1 in Pan-Cancer: A Result of Data-Based Analysis. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:8297011. [PMID: 35313641 PMCID: PMC8933652 DOI: 10.1155/2022/8297011] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 12/01/2021] [Accepted: 12/09/2021] [Indexed: 02/07/2023]
Abstract
Purpose. This study is aimed at systematically analyzing the expression, function, and prognostic value of six transmembrane epithelial antigen of the prostate 1 (STEAP1) in various cancers. Methods. The expressions of STEAP1 between normal and tumor tissues were analyzed using TCGA and GTEx. Clinicopathologic data was collected from GEPIA and TCGA. Prognostic analysis was conducted by Cox proportional hazard regression and Kaplan-Meier survival. DNA methylation, mutation features, and molecular subtypes of cancers were also investigated. The top-100 coexpressed genes with STEAP1 were involved in functional enrichment analysis. ESTIMATE algorithm was used to analyze the correlation between STEAP1 and immunity value. The relationships of STEAP1 and biomarkers including tumor mutational burden (TMB), microsatellite instability (MSI), and stemness score as well as chemosensitivity were also illustrated. Results. Among 33 cancers, STEAP1 was overexpressed in 19 cancers such as cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), colon adenocarcinoma, and lymphoid neoplasm diffuse large B cell lymphoma while was downregulated in 5 cancers such as adrenocortical carcinoma, breast invasive carcinoma (BRCA), and kidney chromophobe renal cell carcinoma. STEAP1 has significant prognostic relationships in multiple cancers. 15 cancers exhibited differences of DNA methylation including bladder urothelial carcinoma, BRCA, and CESC. STEAP1 expression was positively correlated to immune molecules especially in thyroid carcinoma and negatively especially in uveal melanoma. STEAP1 was associated with TMB and MSI in certain cancers. In addition, STEAP1 was connected with increased chemosensitivity of drugs such as trametinib and pimasertib. Conclusions. STEAP1 was an underlying target for prognostic prediction in different cancer types and a potential biomarker of TMB, MSI, tumor microenvironment, and chemosensitivity.
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Chou WC, Rampanelli E, Li X, Ting JPY. Impact of intracellular innate immune receptors on immunometabolism. Cell Mol Immunol 2022; 19:337-351. [PMID: 34697412 PMCID: PMC8891342 DOI: 10.1038/s41423-021-00780-y] [Citation(s) in RCA: 70] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 09/17/2021] [Indexed: 12/21/2022] Open
Abstract
Immunometabolism, which is the metabolic reprogramming of anaerobic glycolysis, oxidative phosphorylation, and metabolite synthesis upon immune cell activation, has gained importance as a regulator of the homeostasis, activation, proliferation, and differentiation of innate and adaptive immune cell subsets that function as key factors in immunity. Metabolic changes in epithelial and other stromal cells in response to different stimulatory signals are also crucial in infection, inflammation, cancer, autoimmune diseases, and metabolic disorders. The crosstalk between the PI3K-AKT-mTOR and LKB1-AMPK signaling pathways is critical for modulating both immune and nonimmune cell metabolism. The bidirectional interaction between immune cells and metabolism is a topic of intense study. Toll-like receptors (TLRs), cytokine receptors, and T and B cell receptors have been shown to activate multiple downstream metabolic pathways. However, how intracellular innate immune sensors/receptors intersect with metabolic pathways is less well understood. The goal of this review is to examine the link between immunometabolism and the functions of several intracellular innate immune sensors or receptors, such as nucleotide-binding and leucine-rich repeat-containing receptors (NLRs, or NOD-like receptors), absent in melanoma 2 (AIM2)-like receptors (ALRs), and the cyclic dinucleotide receptor stimulator of interferon genes (STING). We will focus on recent advances and describe the impact of these intracellular innate immune receptors on multiple metabolic pathways. Whenever appropriate, this review will provide a brief contextual connection to pathogenic infections, autoimmune diseases, cancers, metabolic disorders, and/or inflammatory bowel diseases.
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Affiliation(s)
- Wei-Chun Chou
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
| | - Elena Rampanelli
- Amsterdam UMC (University Medical Center, location AMC), Department of Experimental Vascular Medicine, AGEM (Amsterdam Gastroenterology Endocrinology Metabolism) Institute, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Xin Li
- Comparative Immunology Research Center, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
| | - Jenny P-Y Ting
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
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