Literature DB >> 28980848

Tumor-stroma ratio predicts recurrence in patients with colon cancer treated with neoadjuvant chemotherapy.

Torben Frøstrup Hansen1,2, Sanne Kjær-Frifeldt1,2, Jan Lindebjerg1,2, Søren Rafael Rafaelsen1,2, Lars Henrik Jensen1,2, Anders Jakobsen1,2, Flemming Brandt Sørensen1,2,3.   

Abstract

BACKGROUND: Neoadjuvant chemotherapy represents a new treatment approach to locally advanced colon cancer. The aim of this study was to analyze the ability of tumor-stroma ratio (TSR) to predict disease recurrence in patients with locally advanced colon cancer treated with neoadjuvant chemotherapy.
MATERIAL AND METHODS: This study included 65 patients with colon cancer treated with neoadjuvant chemotherapy in a phase II trial. All patients were planned for three cycles of capecitabine and oxaliplatin before surgery. Hematoxylin and eosin stained tissue sections from surgically resected primary tumors were sampled and analyzed by conventional microscopy. Patients were divided into stroma-high (>50%, i.e. TSR low) and stroma-low (≤50%, i.e. TSR high) for the comparison with clinical data.
RESULTS: A low TSR was found in 47% of the surgically resected primary tumors and correlated to a significantly higher T- and N-category compared, to tumors with a high TSR (p < .01). A low TSR was also significantly associated with disease recurrence (p = .008), translating into significant differences in disease free survival (DFS) and overall survival, p < .002. The 5-year DFS rate for patients with a low TSR was 55%, compared to 94% in the group of patients with a high TSR.
CONCLUSIONS: TSR assessed in the surgically resected primary tumor from patients with locally advanced colon cancer treated with neoadjuvant chemotherapy provides prognostic value and may serve as a relevant parameter in selecting patients for post-operative treatment.

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Year:  2017        PMID: 28980848     DOI: 10.1080/0284186X.2017.1385841

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  12 in total

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Review 3.  Standardization of the tumor-stroma ratio scoring method for breast cancer research.

Authors:  Sophie C Hagenaars; Kiki M H Vangangelt; Gabi W Van Pelt; Zsófia Karancsi; Rob A E M Tollenaar; Andrew R Green; Emad A Rakha; Janina Kulka; Wilma E Mesker
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4.  Analysis of Spatial Distribution and Prognostic Value of Different Pan Cytokeratin Immunostaining Intensities in Breast Tumor Tissue Sections.

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5.  Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer.

Authors:  Ke Zhao; Zhenhui Li; Su Yao; Yingyi Wang; Xiaomei Wu; Zeyan Xu; Lin Wu; Yanqi Huang; Changhong Liang; Zaiyi Liu
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6.  Standardized Assessment of the Tumor-Stroma Ratio in Colorectal Cancer: Interobserver Validation and Reproducibility of a Potential Prognostic Factor.

Authors:  Ricella M Souza da Silva; Eduardo M Queiroga; Alexandre R Paz; Fabiana F P Neves; Karin S Cunha; Eliane P Dias
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7.  Prognostic Value of Tumor-Stroma Ratio in Rectal Cancer: A Systematic Review and Meta-analysis.

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Review 8.  Interventions and Outcomes for Neoadjuvant Treatment of T4 Colon Cancer: A Scoping Review.

Authors:  Flora Jung; Keegan Guidolin; Michael Ho-Yan Lee; Kimberley Lam-Tin-Cheung; Grace Zhao; Sachin Doshi; Tyler Chesney; Marina Englesakis; Jelena Lukovic; Grainne O'Kane; Fayez A Quereshy; Sami A Chadi
Journal:  Curr Oncol       Date:  2021-05-29       Impact factor: 3.677

9.  The prognostic value of the tumor-stroma ratio is most discriminative in patients with grade III or triple-negative breast cancer.

Authors:  Kiki M H Vangangelt; Andrew R Green; Isabelle M F Heemskerk; Danielle Cohen; Gabi W van Pelt; Marcelo Sobral-Leite; Marjanka K Schmidt; Hein Putter; Emad A Rakha; Rob A E M Tollenaar; Wilma E Mesker
Journal:  Int J Cancer       Date:  2020-01-22       Impact factor: 7.396

10.  Prognostic Significance of the Tumor-Stromal Ratio in Invasive Breast Cancer and a Proposal of a New Ts-TNM Staging System.

Authors:  Qian Xu; Jing-Ping Yuan; Yuan-Yuan Chen; Hong-Yan Zhang; Lin-Wei Wang; Bin Xiong
Journal:  J Oncol       Date:  2020-04-21       Impact factor: 4.375

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