Schlotterer C. Genome evolution: are microsatellites really simple sequences? Curr Biol. 1998;8:R132–4.
CAS
PubMed
Google Scholar
Garrido-Ramos MA. Satellite DNA: An evolving topic. Genes (Basel). 2017;8:230.
Strand M, Prolla TA, Liskay RM, et al. Destabilization of tracts of simple repetitive DNA in yeast by mutations affecting DNA mismatch repair. Nature. 1993;365:274–6.
CAS
PubMed
Google Scholar
Petrelli F, Ghidini M, Ghidini A, et al. Outcomes following immune checkpoint inhibitor treatment of patients with microsatellite instability-high cancers: a systematic review and Meta-analysis. JAMA Oncol. 2020;6:1068–71.
PubMed
Google Scholar
Fountzilas E, Kurzrock R, Hiep Vo H, et al. Wedding of Molecular Alterations and Immune Checkpoint Blockade: Genomics as a Matchmaker. J Natl Cancer Inst. 2021;113:djab067 (in press).
Google Scholar
Pinol V, Castells A, Andreu M, et al. Accuracy of revised Bethesda guidelines, microsatellite instability, and immunohistochemistry for the identification of patients with hereditary nonpolyposis colorectal cancer. JAMA. 2005;293:1986–94.
CAS
PubMed
Google Scholar
Umar A, Boland CR, Terdiman JP, et al. Revised Bethesda guidelines for hereditary nonpolyposis colorectal cancer (lynch syndrome) and microsatellite instability. J Natl Cancer Inst. 2004;96:261–8.
CAS
PubMed
Google Scholar
Latham A, Srinivasan P, Kemel Y, et al. Microsatellite instability is associated with the presence of lynch syndrome Pan-Cancer. J Clin Oncol. 2019;37:286–95.
CAS
PubMed
Google Scholar
Moller P, Seppala T, Bernstein I, et al. Cancer incidence and survival in lynch syndrome patients receiving colonoscopic and gynaecological surveillance: first report from the prospective lynch syndrome database. Gut. 2017;66:464–72.
PubMed
Google Scholar
Rizvi H, Sanchez-Vega F, La K, et al. Molecular determinants of response to anti-programmed cell death (PD)-1 and anti-programmed death-ligand 1 (PD-L1) blockade in patients with non-small-cell lung Cancer profiled with targeted next-generation sequencing. J Clin Oncol. 2018;36:633–41.
CAS
PubMed
PubMed Central
Google Scholar
Carbone DP, Reck M, Paz-Ares L, et al. First-line Nivolumab in stage IV or recurrent non-small-cell lung Cancer. N Engl J Med. 2017;376:2415–26.
CAS
PubMed
PubMed Central
Google Scholar
Gargiulo P, Della Pepa C, Berardi S, et al. Tumor genotype and immune microenvironment in POLE-ultramutated and MSI-hypermutated endometrial cancers: new candidates for checkpoint blockade immunotherapy? Cancer Treat Rev. 2016;48:61–8.
CAS
PubMed
Google Scholar
Akagi K, Oki E, Taniguchi H, et al. Real-world data on microsatellite instability status in various unresectable or metastatic solid tumors. Cancer Sci. 2021;112:1105–13.
CAS
PubMed
PubMed Central
Google Scholar
Schrader KA, Cheng DT, Joseph V, et al. Germline variants in targeted tumor sequencing using matched Normal DNA. JAMA Oncol. 2016;2:104–11.
PubMed
PubMed Central
Google Scholar
Deng G, Bell I, Crawley S, et al. BRAF mutation is frequently present in sporadic colorectal cancer with methylated hMLH1, but not in hereditary nonpolyposis colorectal cancer. Clin Cancer Res. 2004;10:191–5.
CAS
PubMed
Google Scholar
Nagasaka T, Sasamoto H, Notohara K, et al. Colorectal cancer with mutation in BRAF, KRAS, and wild-type with respect to both oncogenes showing different patterns of DNA methylation. J Clin Oncol. 2004;22:4584–94.
CAS
PubMed
Google Scholar
Toyota M, Ahuja N, Suzuki H, et al. Aberrant methylation in gastric cancer associated with the CpG island methylator phenotype. Cancer Res. 1999;59:5438–42.
CAS
PubMed
Google Scholar
Vasen HF, Moslein G, Alonso A, et al. Guidelines for the clinical management of lynch syndrome (hereditary non-polyposis cancer). J Med Genet. 2007;44:353–62.
CAS
PubMed
PubMed Central
Google Scholar
Kanai Y, Nishihara H, Miyagi Y, et al. The Japanese Society of Pathology Guidelines on the handling of pathological tissue samples for genomic research: standard operating procedures based on empirical analyses. Pathol Int. 2018;68:63–90.
PubMed
Google Scholar
Kiyozumi Y, Matsubayashi H, Horiuchi Y, et al. Germline mismatch repair gene variants analyzed by universal sequencing in Japanese cancer patients. Cancer Med. 2019;8:5534–43.
CAS
PubMed
PubMed Central
Google Scholar
Boland CR, Thibodeau SN, Hamilton SR, et al. A National Cancer Institute workshop on microsatellite instability for cancer detection and familial predisposition: development of international criteria for the determination of microsatellite instability in colorectal cancer. Cancer Res. 1998;58:5248–57.
CAS
PubMed
Google Scholar
Bonneville R, Krook MA, Kautto EA, et al. Landscape of Microsatellite Instability Across 39 Cancer Types. JCO Precis Oncol. 2017;1: PO.17.00073.
Hause RJ, Pritchard CC, Shendure J, et al. Classification and characterization of microsatellite instability across 18 cancer types. Nat Med. 2016;22:1342–50.
CAS
PubMed
Google Scholar
Fujimoto A, Fujita M, Hasegawa T, et al. Comprehensive analysis of indels in whole-genome microsatellite regions and microsatellite instability across 21 cancer types. Genome Res. 2020;30:334–46.
CAS
PubMed Central
Google Scholar
Cortes-Ciriano I, Lee S, Park WY, et al. A molecular portrait of microsatellite instability across multiple cancers. Nat Commun. 2017;8:15180.
CAS
PubMed
PubMed Central
Google Scholar
Cui M, Li P, Mao Y, et al. Implication of microsatellite instability in Chinese cohort of human cancers. Cancer Manag Res. 2020;12:10287–95.
CAS
PubMed
PubMed Central
Google Scholar
An HJ, Kim KI, Kim JY, et al. Microsatellite instability in endometrioid type endometrial adenocarcinoma is associated with poor prognostic indicators. Am J Surg Pathol. 2007;31:846–53.
PubMed
Google Scholar
Yoon SN, Ku JL, Shin YK, et al. Hereditary nonpolyposis colorectal cancer in endometrial cancer patients. Int J Cancer. 2008;122:1077–81.
CAS
PubMed
Google Scholar
Zang YS, Dai C, Xu X, et al. Comprehensive analysis of potential immunotherapy genomic biomarkers in 1000 Chinese patients with cancer. Cancer Med. 2019;8:4699–708.
CAS
PubMed
PubMed Central
Google Scholar
Kumamoto K, Ishida H, Suzuki O, et al. Lower prevalence of lynch syndrome in colorectal cancer patients in a Japanese hospital-based population. Surg Today. 2016;46:713–20.
PubMed
Google Scholar
Arakawa K, Hata K, Kawai K, et al. Predictors for high microsatellite instability in patients with colorectal Cancer fulfilling the revised Bethesda guidelines. Anticancer Res. 2018;38:4871–6.
PubMed
Google Scholar
Huang SC, Ng KF, Yeh TS, et al. Subtraction of Epstein-Barr virus and microsatellite instability genotypes from the Lauren histotypes: combined molecular and histologic subtyping with clinicopathological and prognostic significance validated in a cohort of 1,248 cases. Int J Cancer. 2019;145:3218–30.
CAS
PubMed
Google Scholar
Takahashi K, Sato N, Sugawara T, et al. Clinical characteristics of lynch-like cases collaterally classified by lynch syndrome identification strategy using universal screening in endometrial cancer. Gynecol Oncol. 2017;147:388–95.
PubMed
Google Scholar
Kiyozumi Y, Matsubayashi H, Higashigawa S, et al. Role of tumor mutation burden analysis in detecting lynch syndrome in precision medicine: analysis of 2,501 Japanese Cancer patients. Cancer Epidemiol Biomark Prev. 2021;30:166–74.
Google Scholar
Chika N, Eguchi H, Kumamoto K, et al. Prevalence of lynch syndrome and lynch-like syndrome among patients with colorectal cancer in a Japanese hospital-based population. Jpn J Clin Oncol. 2017;47:108–17.
PubMed
Google Scholar
Cancer genome atlas N. Comprehensive molecular characterization of human colon and rectal cancer. Nature. 2012;487:330–7.
Google Scholar
Marabelle A, Le DT, Ascierto PA, et al. Efficacy of Pembrolizumab in patients with noncolorectal high microsatellite instability/mismatch repair-deficient Cancer: results from the phase II KEYNOTE-158 study. J Clin Oncol. 2020;38:1–10.
CAS
PubMed
Google Scholar
Cancer genome atlas research network. Electronic address aadhe, Cancer genome atlas research N. integrated genomic characterization of pancreatic ductal adenocarcinoma. Cancer Cell. 2017;32:185–203 e13.
Google Scholar
Hissong E, Crowe EP, Yantiss RK, et al. Assessing colorectal cancer mismatch repair status in the modern era: a survey of current practices and re-evaluation of the role of microsatellite instability testing. Mod Pathol. 2018;31:1756–66.
CAS
PubMed
Google Scholar
Berera S, Koru-Sengul T, Miao F, et al. Colorectal tumors from different racial and ethnic minorities have similar rates of mismatch repair deficiency. Clin Gastroenterol Hepatol. 2016;14:1163–71.
PubMed
Google Scholar
Berginc G, Bracko M, Ravnik-Glavac M, et al. Screening for germline mutations of MLH1, MSH2, MSH6 and PMS2 genes in Slovenian colorectal cancer patients: implications for a population specific detection strategy of lynch syndrome. Familial Cancer. 2009;8:421–9.
CAS
PubMed
Google Scholar
Perez-Carbonell L, Ruiz-Ponte C, Guarinos C, et al. Comparison between universal molecular screening for lynch syndrome and revised Bethesda guidelines in a large population-based cohort of patients with colorectal cancer. Gut. 2012;61:865–72.
CAS
PubMed
Google Scholar
Canard G, Lefevre JH, Colas C, et al. Screening for lynch syndrome in colorectal cancer: are we doing enough? Ann Surg Oncol. 2012;19:809–16.
PubMed
Google Scholar
Urso E, Pucciarelli S, Agostini M, et al. Proximal colon cancer in patients aged 51-60 years of age should be tested for microsatellites instability. A comment on the revised Bethesda guidelines. Int J Color Dis. 2008;23:801–6.
CAS
Google Scholar
Zumstein V, Vinzens F, Zettl A, et al. Systematic immunohistochemical screening for lynch syndrome in colorectal cancer: a single Centre experience of 486 patients. Swiss Med Wkly. 2016;146:w14315.
PubMed
Google Scholar
Brennan B, Hemmings CT, Clark I, et al. Universal molecular screening does not effectively detect lynch syndrome in clinical practice. Ther Adv Gastroenterol. 2017;10:361–71.
CAS
Google Scholar
Jenkins MA, Hayashi S, O'Shea AM, et al. Pathology features in Bethesda guidelines predict colorectal cancer microsatellite instability: a population-based study. Gastroenterology. 2007;133:48–56.
CAS
PubMed
Google Scholar
Bando H, Okamoto W, Fukui T, et al. Utility of the quasi-monomorphic variation range in unresectable metastatic colorectal cancer patients. Cancer Sci. 2018;109:3411–5.
CAS
PubMed
PubMed Central
Google Scholar
Nationwide Colorectal Cancer Registry (2000-2004). Edited by Japanese Society for Cancer of the Colon and Rectum & Japanese Society of Clinical Oncology: http://www.jsco-cpg.jp/guideline/13_siryou.html.
Gupta S, Provenzale D, Llor X, et al. NCCN guidelines insights: genetic/familial high-risk assessment: colorectal, version 2.2019. J Natl Compr Cancer Netw. 2019;17:1032–41.
Google Scholar
Barzi A, Sadeghi S, Kattan MW, et al. Comparative effectiveness of screening strategies for lynch syndrome. J Natl Cancer Inst. 2015;107(4):djv005.
PubMed
PubMed Central
Google Scholar
Erten MZ, Fernandez LP, Ng HK, et al. Universal versus targeted screening for lynch syndrome: comparing ascertainment and costs based on clinical experience. Dig Dis Sci. 2016;61:2887–95.
PubMed
Google Scholar