Literature DB >> 22843085

Tumor-stroma ratio is an independent predictor for survival in esophageal squamous cell carcinoma.

Kai Wang1, Wei Ma, Jianbo Wang, Liang Yu, Xiaomei Zhang, Zhenbo Wang, Bingxu Tan, Nana Wang, Bing Bai, Shengsi Yang, Houqiang Liu, Shengjie Zhu, Yufeng Cheng.   

Abstract

OBJECTIVE: Tumor-stroma ratio (TSR) has been identified as a new and practicable prognostic histological characteristic of solid tumors. The aim of this study was to evaluate the prognostic value of TSR in resected esophageal squamous cell carcinoma (ESCC).
METHODS: A total of 95 patients who underwent esophagectomy for ESCC were included in this study. TSR was assessed visually on the hematoxylin-eosin-stained tissue sections of surgical specimens by two independent observers. Patients with more than 50% intratumor stroma were quantified as the stroma-rich group and those with less than 50% as the stroma-poor group.
RESULTS: No significant differences were observed in patient, tumor, and treatment characteristics between the stroma-rich and stroma-poor groups. The 3-year overall survival and disease-free survival rates were 64% and 57%, respectively, in the stroma-poor group, and 23% and 23%, respectively, in the stroma-rich group. Both 3-year overall and disease-free survival rates in the stroma-poor group were significantly better than those in the stroma-rich group (p < 0.01). In a multivariate analysis, TSR was identified as a highly significant prognostic factor for 3-year overall survival (hazard ratio 3.450; p = 0.001) and 3-year disease-free survival (hazard ratio 2.995; p = 0.001), independent of pTNM stage and radicality of the primary tumor.
CONCLUSION: Stroma-rich tumors were associated with poor prognosis and an increased risk of relapse, which may serve as a new prognostic histological characteristic in ESCC. TSR is simple and quick to determine, is reproducible, and could be easily incorporated in routine histological evaluation.

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Year:  2012        PMID: 22843085     DOI: 10.1097/JTO.0b013e318260dfe8

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  60 in total

1.  Cancer-associated fibroblasts are associated with poor prognosis in esophageal squamous cell carcinoma after surgery.

Authors:  Yufeng Cheng; Kai Wang; Wei Ma; Xiaomei Zhang; Yipeng Song; Jianbo Wang; Nana Wang; Qingxu Song; Fangli Cao; Bingxu Tan; Jinming Yu
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2.  The prognostic value and pathobiological significance of Glasgow microenvironment score in gastric cancer.

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3.  Volumetric Histogram Analysis of Apparent Diffusion Coefficient as a Biomarker to Predict Survival of Esophageal Cancer Patients.

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Journal:  Ann Surg Oncol       Date:  2020-02-25       Impact factor: 5.344

4.  Intratumor stromal proportion predicts aggressive phenotype of gastric signet ring cell carcinomas.

Authors:  Dakeun Lee; In-Hye Ham; Sang Yong Son; Sang-Uk Han; Young-Bae Kim; Hoon Hur
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5.  Combining standardized uptake value of FDG-PET and apparent diffusion coefficient of DW-MRI improves risk stratification in head and neck squamous cell carcinoma.

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Journal:  Eur Radiol       Date:  2016-03-10       Impact factor: 5.315

6.  A new strategy to confirm the identity of tumour tissues using single-nucleotide polymorphisms and next-generation sequencing.

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7.  Tumor-stroma ratio is an independent predictor for survival in NSCLC.

Authors:  Tiehong Zhang; Jun Xu; Hongchang Shen; Wei Dong; Yang Ni; Jiajun Du
Journal:  Int J Clin Exp Pathol       Date:  2015-09-01

8.  Imbalance of desmoplastic stromal cell numbers drives aggressive cancer processes.

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Journal:  J Pathol       Date:  2013-03-21       Impact factor: 7.996

9.  Periductal stromal collagen topology of pancreatic ductal adenocarcinoma differs from that of normal and chronic pancreatitis.

Authors:  Cole R Drifka; Jo Tod; Agnes G Loeffler; Yuming Liu; Gareth J Thomas; Kevin W Eliceiri; W John Kao
Journal:  Mod Pathol       Date:  2015-09-04       Impact factor: 7.842

10.  Bidirectional tumor/stroma crosstalk promotes metastasis in mesenchymal colorectal cancer.

Authors:  Sarah Ouahoud; Philip W Voorneveld; Lukas J A C Hawinkels; James C H Hardwick; Lennart R A van der Burg; Eveline S M de Jonge-Muller; Mark J A Schoonderwoerd; Madelon Paauwe; Thijs de Vos; Sophie de Wit; Gabi W van Pelt; Wilma E Mesker
Journal:  Oncogene       Date:  2020-01-23       Impact factor: 9.867

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