Literature DB >> 29112018

Tumor Budding and PDC Grade Are Stage Independent Predictors of Clinical Outcome in Mismatch Repair Deficient Colorectal Cancer.

Éanna Ryan1,2, Yi Ling Khaw3, Ben Creavin1,2, Robert Geraghty3, Elizabeth J Ryan4, David Gibbons3, Ann Hanly1,2, Sean T Martin1,2, P Ronan O'Connell1,2,4, Desmond C Winter1,2, Kieran Sheahan2,3,4.   

Abstract

Mismatch repair deficient (dMMR) colorectal cancer (CRC) despite its association with poor histologic grade often has improved prognosis compared with MMR proficient CRC. Tumor budding and poorly differentiated clusters (PDCs) may predict metastatic potential of colorectal adenocarcinoma (CRC). In addition, their assessment may be more reproducible than the evaluation of other histopathologic parameters. Therefore, we wished to determine their potential as prognostic indicators in a cohort of dMMR CRC patients relative to histologic grade. We investigated the predictive value of conventional WHO grade, budding, PDC grade and other histopathologic parameters on the presence of lymph node metastasis (LNM) and clinical outcome in 238 dMMR CRCs. MMR status was determined by immunohistochemistry for the mismatch repair proteins hMLH1, hMSH2, hMSH6, and hPMS2. Tumor budding and PDCs were highly correlated (r=0.701; P<0.000). Both budding and PDC grade were associated with WHO grade, perineural invasion, lympho-vascular invasion, and extramural vascular invasion, and the presence of LNM in dMMR CRC (P<0.009). Independent predictors of LNM were PDC grade (odds ratio, 4.12; 95% confidence interval [CI], 1.69-10.04; P=0.011) and EMVI (odds ratio, 3.81; 95% CI, 1.56-9.19; P<0.000). Only pTstage (hazard ratio [HR], 4.11; 95% CI, 1.48-11.36; P=0.007) and tumor budding (HR, 2.99; 95% CI, 1.72-5.19; P<0.000) were independently associated with worse disease-free survival (DFS). If tumor budding was excluded from the model, PDC grade became significant for DFS (HR, 2.34; 95% CI, 1.34-4.09; P=0.003). WHO Grade does not independently correlate with clinical outcome in dMMR CRC. PDC grade and extramural vascular invasion are independent predictors of LNM. Tumor budding and pTstage are the best predictors of DFS. If tumor budding cannot be assessed, PDC grade may be used as a prognostic surrogate.

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Year:  2018        PMID: 29112018     DOI: 10.1097/PAS.0000000000000931

Source DB:  PubMed          Journal:  Am J Surg Pathol        ISSN: 0147-5185            Impact factor:   6.394


  13 in total

1.  The presence of poorly differentiated clusters predicts survival in stage II colorectal cancer.

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3.  Automatic Tumor Grading on Colorectal Cancer Whole-Slide Images: Semi-Quantitative Gland Formation Percentage and New Indicator Exploration.

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Authors:  Iván González; Philip S Bauer; William C Chapman; Zahra Alipour; Rehan Rais; Jingxia Liu; Deyali Chatterjee
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5.  SMAD4 alteration associates with invasive-front pathological markers and poor prognosis in colorectal cancer.

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6.  A classification based on tumor budding and immune score for patients with hepatocellular carcinoma.

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7.  Clinical Significance of Preoperative Inflammatory Markers in Prediction of Prognosis in Node-Negative Colon Cancer: Correlation between Neutrophil-to-Lymphocyte Ratio and Poorly Differentiated Clusters.

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8.  Association Between Obesity and Histological Tumor Budding in Patients With Nonmetastatic Colon Cancer.

Authors:  Tong Gan; Kurt B Schaberg; Daheng He; Akila Mansour; Harit Kapoor; Chi Wang; B Mark Evers; Therese J Bocklage
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Review 9.  Intraepithelial tumour infiltrating lymphocytes are associated with absence of tumour budding and immature/myxoid desmoplastic reaction, and with better recurrence-free survival in stages I-III colorectal cancer.

Authors:  I A González; P S Bauer; J Liu; D Chatterjee
Journal:  Histopathology       Date:  2020-09-14       Impact factor: 5.087

10.  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

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