TY - JOUR
T1 - Biomarker analysis to predict the pathological response to neoadjuvant chemotherapy in locally advanced gastric cancer
T2 - An exploratory biomarker study of COMPASS, a randomized phase II trial
AU - Oshima, Takashi
AU - Yoshikawa, Takaki
AU - Miyagi, Yohei
AU - Morita, Satoshi
AU - Yamamoto, Michio
AU - Tanabe, Kazuaki
AU - Nishikawa, Kazuhiro
AU - Ito, Yuichi
AU - Matsui, Takanori
AU - Kimura, Yutaka
AU - Yokose, Tomoyuki
AU - Hiroshima, Yukihiko
AU - Aoyama, Toru
AU - Hayashi, Tsutomu
AU - Ogata, Takashi
AU - Cho, Haruhiko
AU - Rino, Yasushi
AU - Masuda, Munetaka
AU - Tsuburaya, Akira
AU - Sakamoto, Junichi
N1 - Funding Information:
This study was supported by two non-governmental organizations: the Epidemiological & Clinical Research Information Network (ECRIN) and the Kanagawa Standard Anti-Cancer Therapy Support System (KSATSS).
Funding Information:
TY: Lecture fees from: MSD, ONO, BMS, Taiho, Chugai, Daiichi-Sankyo, Lilly, Johnson and Johnson, Covidien, and Olympus. Personal grant from Lilly. These are unrelated to the submitted work.
Publisher Copyright:
© Oshima et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2020/7/28
Y1 - 2020/7/28
N2 - Background: The findings of COMPASS, a randomized phase II study, suggested that the regimens and courses of neoadjuvant chemotherapy (NAC) for locally advanced gastric cancer (GC) did not affect the pathological response. However, pathological complete response was achieved in 10% patients who received four courses of either S-1/cisplatin or paclitaxel/cisplatin. We hypothesized that if relevant biomarkers could be used to predict the suitable NAC regimen before treatment initiation, further improvements could be ensured in the outcomes of locally advanced GC. Materials and Methods: mRNA extraction, real-time polymerase chain reaction, and immunohistochemical analyses were performed using endoscopic biopsy specimens of primary tumors, collected prior to NAC, to determine the clinically relevant biomarkers. Results: TIMP1, DSG2, RRM1, MUC2, EGFR, ZDHHC14, and CLDN18.2 were identified as biomarker candidates, since their expression was significantly associated with the pathological responses to each NAC regimen. Furthermore, TIMP1 and DSG2 were identified as predictive biomarkers of the pathological response to each NAC regimen. Conclusions: The effective prediction of the pathological response to NAC regimens in locally advanced GC using biomarkers identified from endoscopic biopsy specimens indicates the possibility of personalizing NAC based on biomarker analysis.
AB - Background: The findings of COMPASS, a randomized phase II study, suggested that the regimens and courses of neoadjuvant chemotherapy (NAC) for locally advanced gastric cancer (GC) did not affect the pathological response. However, pathological complete response was achieved in 10% patients who received four courses of either S-1/cisplatin or paclitaxel/cisplatin. We hypothesized that if relevant biomarkers could be used to predict the suitable NAC regimen before treatment initiation, further improvements could be ensured in the outcomes of locally advanced GC. Materials and Methods: mRNA extraction, real-time polymerase chain reaction, and immunohistochemical analyses were performed using endoscopic biopsy specimens of primary tumors, collected prior to NAC, to determine the clinically relevant biomarkers. Results: TIMP1, DSG2, RRM1, MUC2, EGFR, ZDHHC14, and CLDN18.2 were identified as biomarker candidates, since their expression was significantly associated with the pathological responses to each NAC regimen. Furthermore, TIMP1 and DSG2 were identified as predictive biomarkers of the pathological response to each NAC regimen. Conclusions: The effective prediction of the pathological response to NAC regimens in locally advanced GC using biomarkers identified from endoscopic biopsy specimens indicates the possibility of personalizing NAC based on biomarker analysis.
KW - Gastric cancer
KW - Neoadjuvant chemotherapy
KW - Pathological response
KW - Personalized therapy
KW - Predictive biomarkers
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U2 - 10.18632/oncotarget.27658
DO - 10.18632/oncotarget.27658
M3 - Article
AN - SCOPUS:85090267317
SN - 1949-2553
VL - 11
SP - 2906
EP - 2918
JO - Oncotarget
JF - Oncotarget
IS - 30
ER -