Machine-learning model derived gene signature predictive of paclitaxel survival benefit in gastric cancer: results from the randomised phase III SAMIT trial

R Sundar, NB Kumarakulasinghe, YH Chan, K Yoshida… - Gut, 2022 - gut.bmj.com
Objective To date, there are no predictive biomarkers to guide selection of patients with
gastric cancer (GC) who benefit from paclitaxel. Stomach cancer Adjuvant Multi-Institutional …

Comprehensive molecular characterization of gastric cancer patients from phase II second-line ramucirumab plus paclitaxel therapy trial

ST Kim, JK Sa, SY Oh, K Kim, JY Hong, WK Kang… - Genome medicine, 2021 - Springer
Background Gastric cancer (GC) is a heterogenous disease consisted of several subtypes
with distinct molecular traits. The clinical implication of molecular classification has been …

Deep learning–based survival analysis identified associations between molecular subtype and optimal adjuvant treatment of patients with gastric cancer

J Lee, JY An, MG Choi, SH Park, ST Kim… - JCO clinical cancer …, 2018 - ascopubs.org
Purpose Gastric cancer (GC) is the third-leading cause of cancer-related deaths. Several
pivotal clinical trials of adjuvant treatments were performed during the previous decade; …

Nanostring-based multigene assay to predict recurrence for gastric cancer patients after surgery

J Lee, I Sohn, IG Do, KM Kim, SH Park, JO Park… - PloS one, 2014 - journals.plos.org
Despite the benefits from adjuvant chemotherapy or chemoradiotherapy, approximately one-
third of stage II gastric cancer (GC) patients developed recurrences. The aim of this study …

An artificial intelligence model to predict survival and chemotherapy benefits for gastric cancer patients after gastrectomy development and validation in international …

X Li, Z Zhai, W Ding, L Chen, Y Zhao, W Xiong… - International journal of …, 2022 - Elsevier
Background Gastric cancer (GC) is a major health problem worldwide, with high prevalence
and mortality. The present GC staging system provides inadequate prognostic information …

[HTML][HTML] Identification of a tumor microenvironment-relevant gene set-based prognostic signature and related therapy targets in gastric cancer

WY Cai, ZN Dong, XT Fu, LY Lin, L Wang, GD Ye… - Theranostics, 2020 - ncbi.nlm.nih.gov
Rationale: The prognosis of gastric cancer (GC) patients is poor, and there is limited
therapeutic efficacy due to genetic heterogeneity and difficulty in early-stage screening …

[PDF][PDF] Clinical implementation of precision medicine in gastric cancer

J Jeon, JH Cheong - Journal of gastric cancer, 2019 - synapse.koreamed.org
Gastric cancer (GC) is one of the deadliest malignancies in the world. Currently, clinical
treatment decisions are mostly made based on the extent of the tumor and its anatomy, such …

A molecular classification of gastric cancer associated with distinct clinical outcomes and validated by an XGBoost-based prediction model

B Li, F Zhang, Q Niu, J Liu, Y Yu, P Wang… - … Therapy-Nucleic Acids, 2023 - cell.com
Gastric cancer (GC) is a heterogeneous disease and a leading cause of cancer-related
deaths. Discovering robust, clinically relevant molecular classifications is critical for guiding …

Predictive test for chemotherapy response in resectable gastric cancer: a multi-cohort, retrospective analysis

JH Cheong, HK Yang, H Kim, WH Kim, YW Kim… - The Lancet …, 2018 - thelancet.com
Background Adjuvant chemotherapy after surgery improves survival of patients with stage II–
III, resectable gastric cancer. However, the overall survival benefit observed after adjuvant …

Molecular classification of gastric adenocarcinoma: translating new insights from the cancer genome atlas research network

Y Sunakawa, HJ Lenz - Current treatment options in oncology, 2015 - Springer
Opinion statement Gastric cancer is a heterogenous cancer, which may be classified into
several distinct subtypes based on pathology and epidemiology, each with different initiating …