Literature DB >> 28044374

Histopathological regression of gastric adenocarcinoma after neoadjuvant therapy: a critical review.

Eduardo Henrique Cunha Neves Filho1, Rosane Oliveira de Sant'Ana1, Luiz Vianney Saldanha Cidrão Nunes1, Adriana Pinheiro Bezerra Pires1, Maria do Perpétuo Socorro Saldanha da Cunha1.   

Abstract

As the perioperative chemotherapy has been widely implemented on the management of gastric cancer patients, heterogeneity of clinical outcomes has been evidenced in parallel to different histopathological regression pattern of gastric cancer cells. Tumor histological response to preoperative therapy has been graded by various systems in order to categorize the amount of regressive changes induced by chemotherapy in relation to residual tumor. In this context, tumor regression grading (TRG) systems might provide important prognostic information as the variety of tumor response may imply on different clinical outcomes with impact in survival rates. Moreover, gastric cancer behavior varies enormously upon individual factors such as histological classification and tumor anatomic site of involvement that have been shown to affect the TRG interpretation. On the other hand, some studies have assessed the role of molecular markers as a predictor of tumor response to neoadjuvant chemotherapy in terms of TRG. Thus, the aim of this review is to evaluate how TRG has been interpreted in gastric cancer, discuss their clinical and prognostic relevance and also address the molecular markers involved in this process.
© 2017 APMIS. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Gastric cancer; neoadjuvant chemotherapy; tumor regression grading

Mesh:

Year:  2017        PMID: 28044374     DOI: 10.1111/apm.12642

Source DB:  PubMed          Journal:  APMIS        ISSN: 0903-4641            Impact factor:   3.205


  15 in total

1.  Histopathological factors predicting response to neoadjuvant therapy in gastric carcinoma.

Authors:  M L Sánchez de Molina; C Díaz Del Arco; P Vorwald; D García-Olmo; L Estrada; M J Fernández-Aceñero
Journal:  Clin Transl Oncol       Date:  2017-06-26       Impact factor: 3.405

2.  Computed tomography-based radiomics for prediction of neoadjuvant chemotherapy outcomes in locally advanced gastric cancer: A pilot study.

Authors:  Zhenhui Li; Dafu Zhang; Youguo Dai; Jian Dong; Lin Wu; Yajun Li; Zixuan Cheng; Yingying Ding; Zaiyi Liu
Journal:  Chin J Cancer Res       Date:  2018-08       Impact factor: 5.087

3.  Peripheral venous blood neutrophil-to-lymphocyte ratio predicts survival in patients with advanced gastric cancer treated with neoadjuvant chemotherapy.

Authors:  Li Chen; Yanjiao Zuo; Lihua Zhu; Yuxin Zhang; Sen Li; Fei Ma; Yu Han; Hongjiang Song; Yingwei Xue
Journal:  Onco Targets Ther       Date:  2017-05-17       Impact factor: 4.147

4.  Recurrence after preoperative chemotherapy and surgery for gastric adenocarcinoma: a multicenter study.

Authors:  I Mokadem; W P M Dijksterhuis; M van Putten; L Heuthorst; J M de Vos-Geelen; N Haj Mohammad; G A P Nieuwenhuijzen; H W M van Laarhoven; R H A Verhoeven
Journal:  Gastric Cancer       Date:  2019-04-04       Impact factor: 7.370

5.  Prediction Model of Tumor Regression Grade for Advanced Gastric Cancer After Preoperative Chemotherapy.

Authors:  Wei Xu; Qianchen Ma; Lingquan Wang; Changyu He; Sheng Lu; Zhentian Ni; Zichen Hua; Zhenglun Zhu; Zhongyin Yang; Yanan Zheng; Runhua Feng; Chao Yan; Chen Li; Xuexin Yao; Mingmin Chen; Wentao Liu; Min Yan; Zhenggang Zhu
Journal:  Front Oncol       Date:  2021-04-15       Impact factor: 6.244

6.  Microsatellite Status Affects Tumor Response and Survival in Patients Undergoing Neoadjuvant Chemotherapy for Clinical Stage III Gastric Cancer.

Authors:  Zhenghao Cai; Weiwei Rui; Shuchun Li; Abraham Fingerhut; Jing Sun; Junjun Ma; Lu Zang; Zhenggang Zhu; Minhua Zheng
Journal:  Front Oncol       Date:  2020-12-15       Impact factor: 6.244

7.  Pretreatment Contrast-Enhanced Computed Tomography Radiomics for Prediction of Pathological Regression Following Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer: A Preliminary Multicenter Study.

Authors:  Kun Xie; Yanfen Cui; Dafu Zhang; Weiyang He; Yinfu He; Depei Gao; Zhiping Zhang; Xingxiang Dong; Guangjun Yang; Youguo Dai; Zhenhui Li
Journal:  Front Oncol       Date:  2022-01-07       Impact factor: 6.244

8.  Application of Gross Tissue Response System in Gastric Cancer After Neoadjuvant Chemotherapy: A Primary Report of a Prospective Cohort Study.

Authors:  Hua Yang; Wei-Han Zhang; Rui Ge; Bo-Qiang Peng; Xin-Zu Chen; Kun Yang; Kai Liu; Xiao-Long Chen; Du He; Jian-Ping Liu; Wei-Wei Zhang; Yun Qin; Zong-Guang Zhou; Jian-Kun Hu
Journal:  Front Oncol       Date:  2021-11-24       Impact factor: 6.244

9.  In Gastric Cancer Patients Receiving Neoadjuvant Chemotherapy Systemic Inflammation Response Index is a Useful Prognostic Indicator.

Authors:  Li Chen; Yong Chen; Lele Zhang; Yingwei Xue; Shiwei Zhang; Xingrui Li; Hongjiang Song
Journal:  Pathol Oncol Res       Date:  2021-10-12       Impact factor: 3.201

10.  Systemic immune-inflammation index as a useful prognostic indicator predicts survival in patients with advanced gastric cancer treated with neoadjuvant chemotherapy.

Authors:  Li Chen; Ying Yan; Lihua Zhu; Xiliang Cong; Sen Li; Shubin Song; Hongjiang Song; Yingwei Xue
Journal:  Cancer Manag Res       Date:  2017-12-14       Impact factor: 3.989

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