Literature DB >> 34119815

Colorectal cancer with microsatellite instability: Right-sided location and signet ring cell histology are associated with nodal metastases, and extranodal extension influences disease-free survival.

Maria L Piredda1, Serena Ammendola2, Concetta Sciammarella1, Giulia Turri3, Fabio Bagante3, Matteo Fassan4, Andrea Mafficini5, Aldo Mombello2, Simone Cataldi6, Gaetano Paolino2, Paola Mattiolo2, Ada M Florena6, Michele Genna7, Francesca Fior7, Liang Cheng8, Rita T Lawlor1, Aldo Scarpa5, Corrado Pedrazzani3, Claudio Luchini9.   

Abstract

Colorectal cancer (CRC) with microsatellite instability (MSI) accounts for 15-18 % of all CRCs and represents the category with the best prognosis. This study aimed at determining any possible clinical/pathological features associated with a higher risk of nodal metastasization in MSI-CRC, and at defining any possible prognostic moderators in this setting. All surgically resected CRCs of the last 20 years (mono-institutional series) with a PCR-based diagnosis of MSI, with and without nodal metastasis, have been retrieved for histological review, which was performed following WHO guidelines. Furthermore, the most important prognostic moderators have been investigated with a survival analysis. The study of 33 cases of MSI-CRCs with nodal metastasis highlighted a high fidelity of histology maintenance between primary tumors and matched nodal metastases. At survival analysis, the strongest prognostic variable in MSI-CRCs with nodal metastasis was the extranodal extension (multivariate analysis, HR: 14.4, 95 %CI: 1.46-140.9, p = 0.022). Furthermore, through a comparison between nodal positive (33 cases) and nodal negative (71 cases) MSI-CRCs, right-sided location (p < 0.0001), pT4 stage (p = 0.0004) and signet-ring histology (p = 0.0089) emerged as parameters more commonly associated with nodal metastasization. These findings shed new light on the biology of MSI-CRC and can be of help for the prognostic stratification of MSI-CRC patients.
Copyright © 2021. Published by Elsevier GmbH.

Entities:  

Keywords:  Colon; ENE; Extracapsular; MSI; Metastasis; dMMR; rectum

Mesh:

Year:  2021        PMID: 34119815     DOI: 10.1016/j.prp.2021.153519

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  2 in total

Review 1.  Artificial Intelligence for Predicting Microsatellite Instability Based on Tumor Histomorphology: A Systematic Review.

Authors:  Ji Hyun Park; Eun Young Kim; Claudio Luchini; Albino Eccher; Kalthoum Tizaoui; Jae Il Shin; Beom Jin Lim
Journal:  Int J Mol Sci       Date:  2022-02-23       Impact factor: 5.923

2.  A Tumoral and Peritumoral CT-Based Radiomics and Machine Learning Approach to Predict the Microsatellite Instability of Rectal Carcinoma.

Authors:  Hang Yuan; Yu Peng; Xiren Xu; Shiliang Tu; Yuguo Wei; Yanqing Ma
Journal:  Cancer Manag Res       Date:  2022-08-09       Impact factor: 3.602

  2 in total

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