Literature DB >> 21788563

Validation microsatellite path score in a population-based cohort of patients with colorectal cancer.

Xavier Bessa1, Cristina Alenda, Artemio Paya, Cristina Álvarez, Mar Iglesias, Agustín Seoane, Josep Maria Dedeu, Anna Abulí, Lucas Ilzarbe, Gemma Navarro, Maria Pellise, Francesc Balaguer, Sergi Castellvi-Bel, Xavier Llor, Antoni Castells, Rodrigo Jover, Montserrat Andreu.   

Abstract

PURPOSE: Bethesda guidelines are used to recognize patients at risk for Lynch syndrome. However, obtaining personal and familial tumor data can sometimes be difficult. The Microsatellite Path Score (MsPath), a pathological score, based on age, tumor location, and pathologic features, has been developed to effectively predict colorectal cancer with DNA mismatch repair (MMR) deficiencies. However, the MsPath model's performance in an unselected, population-based colorectal cancer (CRC) population is unknown. PATIENTS AND METHODS: We analyzed all patients with CRC regardless of age, personal or family history, and tumor characteristics from the EPICOLON study, an independent, prospective, multicenter, population-based cohort (N = 1,222). All patients underwent tumor microsatellite instability (MSI) analysis and immunostaining for MLH1/MSH2, and those with MMR underwent tumor BRAF mutation analysis and MLH1/MSH2 germline testing. All the pathologic features were centralized and evaluated blinded to the MMR status.
RESULTS: MsPath score for prediction of having MSI high, with the recommended MsPath cutoff score ≥1.0, had a sensitivity, specificity, and positive predictive value (PPV) of 92.8% (95% CI, 86.9 to 98.3), 64.1% (95% CI, 61.1 to 66.8), and 15.8% (95% CI, 12.2 to 18.6), respectively. MsPath score had a sensitivity, specificity, and PPV of 81.8% (95% CI, 59.0 to 99.8), 60.6% (95% CI, 57.8 to 63.4), and 1.9% (95% CI, 0.7 to 3.1), respectively, for the identification of MLH1/MSH2 gene carriers. Application of the MsPath score, resulted in two (18%) of 11 mutation carriers being missed, both pathogenic germline MSH2 mutations.
CONCLUSION: In the general nonselected population, the MsPath score accurately predicted the probability of bearing a MSI high CRC, but it was insufficiently accurate to use for the selection of patients warranting MLH1/MSH2 mutation testing in the setting of Lynch syndrome.

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Year:  2011        PMID: 21788563     DOI: 10.1200/JCO.2010.34.3947

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  8 in total

1.  UK colorectal cancer patients are inadequately assessed for Lynch syndrome.

Authors:  Maria Adelson; Samuel Pannick; James E East; Peter Risby; Peter Dawson; Kevin J Monahan
Journal:  Frontline Gastroenterol       Date:  2013-08-06

2.  Translating clinical research of Molecular Biology into a personalized, multidisciplinary approach of colorectal cancer patients.

Authors:  V Strambu; D Garofil; F Pop; P Radu; M Bratucu; F Popa
Journal:  J Med Life       Date:  2014-03-25

Review 3.  Prognostic and Predictive Values of Mismatch Repair Deficiency in Non-Metastatic Colorectal Cancer.

Authors:  Zhaohui Jin; Frank A Sinicrope
Journal:  Cancers (Basel)       Date:  2021-01-15       Impact factor: 6.639

Review 4.  Molecular Features and Clinical Management of Hereditary Pancreatic Cancer Syndromes and Familial Pancreatic Cancer.

Authors:  Akiyoshi Kasuga; Takeshi Okamoto; Shohei Udagawa; Chinatsu Mori; Takafumi Mie; Takaaki Furukawa; Yuto Yamada; Tsuyoshi Takeda; Masato Matsuyama; Takashi Sasaki; Masato Ozaka; Arisa Ueki; Naoki Sasahira
Journal:  Int J Mol Sci       Date:  2022-01-21       Impact factor: 5.923

5.  Low Concordance Between T-Cell Densities in Matched Primary Tumors and Liver Metastases in Microsatellite Stable Colorectal Cancer.

Authors:  Vegar Johansen Dagenborg; Serena Elizabeth Marshall; Krzysztof Grzyb; Åsmund Avdem Fretland; Marius Lund-Iversen; Gunhild Mari Mælandsmo; Anne Hansen Ree; Bjørn Edwin; Sheraz Yaqub; Kjersti Flatmark
Journal:  Front Oncol       Date:  2021-06-09       Impact factor: 6.244

6.  Efficient and reproducible identification of mismatch repair deficient colon cancer: validation of the MMR index and comparison with other predictive models.

Authors:  Patrick Joost; Pär-Ola Bendahl; Britta Halvarsson; Eva Rambech; Mef Nilbert
Journal:  BMC Clin Pathol       Date:  2013-12-17

7.  Mismatch repair deficiency may be common in ductal adenocarcinoma of the prostate.

Authors:  Michael T Schweizer; Heather H Cheng; Maria S Tretiakova; Funda Vakar-Lopez; Nola Klemfuss; Eric Q Konnick; Elahe A Mostaghel; Peter S Nelson; Evan Y Yu; Bruce Montgomery; Lawrence D True; Colin C Pritchard
Journal:  Oncotarget       Date:  2016-12-13

8.  Development and validation of MMR prediction model based on simplified clinicopathological features and serum tumour markers.

Authors:  Yinghao Cao; Tao Peng; Han Li; Ming Yang; Liang Wu; Zili Zhou; Xudan Zhang; Shengbo Han; Haijun Bao; Kailin Cai; Ning Zhao
Journal:  EBioMedicine       Date:  2020-10-20       Impact factor: 8.143

  8 in total

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