Evidence map›Paper›PMID 32774771›Full record

ArticleOncotarget2020

Biomarker analysis to predict the pathological response to neoadjuvant chemotherapy in locally advanced gastric cancer: An exploratory biomarker study of COMPASS, a randomized phase II trial.

Takashi Oshima, Takaki Yoshikawa, Yohei Miyagi, Satoshi Morita, Michio Yamamoto, Kazuaki Tanabe, Kazuhiro Nishikawa, Yuichi Ito, Takanori Matsui, Yutaka Kimura and 10 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 11 institutions in 1 country.

Takashi OshimaDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Asahi-ku, Yokohama, Kanagawa 241-8515, Japan.
Takaki YoshikawaDepartment of Gastric Surgery, National Cancer Hospital, Chuo-ku, Tokyo 104-0045, Japan.
Yohei MiyagiKanagawa Cancer Center Research Institute, Asahi-ku, Yokohama, Kanagawa 241-8515, Japan.
Satoshi MoritaDepartment of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, Kyoto 606-8507, Japan.
Michio YamamotoGraduate School of Environmental and Life Science, Okayama University, Kita-ku, Okayama, Okayama 700-8530, Japan.
Kazuaki TanabeDepartment of Gastroenterological and Transplant Surgery, Hiroshima University, Minami-ku, Hiroshima, Hiroshima 734-8551, Japan.
Kazuhiro NishikawaDepartment of Surgery, National Hospital Organization Osaka National Hospital, Chuo-ku, Osaka, Osaka, 540-0006, Japan.
Yuichi ItoDepartment of Gastroenterological Surgery, Aichi Cancer Center Hospital, Chikusa-ku, Nagoya, Aichi 464-8681, Japan.
Takanori MatsuiDepartment of Surgery, Aichi Cancer Center, Aichi Hospital, Kakemachi, Okazaki, Aichi 444-0011, Japan.
Yutaka KimuraDepartment of Surgery, NTT West Japan Osaka Hospital, Tennouji-ku, Osaka, Osaka 543-0042, Japan.
Tomoyuki YokoseDepartment of Pathology, Kanagawa Cancer Center, Asahi-ku, Yokohama, Kanagawa 241-8515, Japan.
Yukihiko HiroshimaKanagawa Cancer Center Research Institute, Asahi-ku, Yokohama, Kanagawa 241-8515, Japan.
Toru AoyamaDepartment of Surgery, Yokohama City University, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan.
Tsutomu HayashiDepartment of Gastric Surgery, National Cancer Hospital, Chuo-ku, Tokyo 104-0045, Japan.
Takashi OgataDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Asahi-ku, Yokohama, Kanagawa 241-8515, Japan.
Haruhiko ChoDepartment of Gastric Surgery, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Bunkyo-ku, Tokyo 113-8677, Japan.
Yasushi RinoDepartment of Surgery, Yokohama City University, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan.
Munetaka MasudaDepartment of Surgery, Yokohama City University, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan.
Akira TsuburayaDepartment of Surgery, Ozawa Hospital, Odawara, Kanagawa 250-0012, Japan.
Junichi SakamotoTokai Central Hospital, Kakamigahara, Gifu 504-8601, Japan.
Kanagawa Prefectural Hospital Organization · JPYokohama City University · JPAichi Cancer Center · JPHiroshima University · JPKanagawa Cancer CenterKyoto University · JPOkayama University · JPOsaka Hospital · JPOsaka National Hospital · JPTokai Central Hospital · JPTokyo Metropolitan Komagome Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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

methodsmRNA 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

conclusionsThe 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.

Indexed as

gastric cancerneoadjuvant chemotherapypathological responsepersonalized therapypredictive biomarkers

Identifiers

PMID32774771
PMCPMC7392622
OpenAlexW3045828689

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.