Literature DB >> 33547581

Stromal Organization as a Predictive Biomarker of Response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer.

Anqi Wang1, Jing Zhang2, Cong Tan3, Hong Lv3, Kaizhou Jin4, Zhiqian Hu1, Haiyang Zhou5.   

Abstract

Entities:  

Keywords:  Locally advanced rectal cancer; Neoadjuvant therapy; Stromal organization

Mesh：

Substances：

Year:  2021        PMID： 33547581     DOI： 10.1007/s11605-021-04920-7

Source DB:  PubMed          Journal:  J Gastrointest Surg        ISSN： 1091-255X            Impact factor:   3.452


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  5 in total

1.  The relationship between tumour stroma percentage, the tumour microenvironment and survival in patients with primary operable colorectal cancer.

Authors:  J H Park; C H Richards; D C McMillan; P G Horgan; C S D Roxburgh
Journal:  Ann Oncol       Date:  2014-01-23       Impact factor: 32.976

Review 2.  The significance of stromal collagen organization in cancer tissue: An in-depth discussion of literature.

Authors:  Stéphanie M Zunder; Hans Gelderblom; Rob A Tollenaar; Wilma E Mesker
Journal:  Crit Rev Oncol Hematol       Date:  2020-05-04       Impact factor: 6.312

3.  Disorganised stroma determined on pre-treatment breast cancer biopsies is associated with poor response to neoadjuvant chemotherapy: Results from the NEOZOTAC trial.

Authors:  T J A Dekker; A Charehbili; V T H B M Smit; P ten Dijke; E Meershoek-Klein Kranenbarg; C J H van de Velde; J W R Nortier; R A E M Tollenaar; W E Mesker; J R Kroep
Journal:  Mol Oncol       Date:  2015-02-14       Impact factor: 6.603

4.  Diffusion anisotropy in collagen gels and tumors: the effect of fiber network orientation.

Authors:  Triantafyllos Stylianopoulos; Benjamin Diop-Frimpong; Lance L Munn; Rakesh K Jain
Journal:  Biophys J       Date:  2010-11-17       Impact factor: 4.033

5.  Association Between Adjuvant Chemotherapy and Overall Survival in Patients With Rectal Cancer and Pathological Complete Response After Neoadjuvant Chemotherapy and Resection.

Authors:  Fahima Dossa; Sergio A Acuna; Aaron S Rickles; Mariana Berho; Steven D Wexner; Fayez A Quereshy; Nancy N Baxter; Sami A Chadi
Journal:  JAMA Oncol       Date:  2018-07-01       Impact factor: 31.777
  5 in total
  2 in total

1.  Machine Learning of Histomorphological Features Predict Response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer.

Authors:  Anqi Wang; Ruiqi Ding; Jing Zhang; Beibei Zhang; Xiaolin Huang; Haiyang Zhou
Journal:  J Gastrointest Surg       Date:  2022-08-01       Impact factor: 3.267

2.  Predicting Neoadjuvant Chemoradiotherapy Response in Locally Advanced Rectal Cancer Using Tumor-Infiltrating Lymphocytes Density.

Authors:  Yao Xu; Xiaoying Lou; Yanting Liang; Zhenhui Li; Shenyan Zhang; Shangqing Yang; Qicong Chen; Zeyan Xu; Minning Zhao; Ke Zhao; Zaiyi Liu
Journal:  J Inflamm Res       Date:  2021-11-10
  2 in total

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