Evidence map›Paper›PMID 39251991›Full record

ArticleBMC cancer2024

Measurement of changes in serum-based inflammatory indicators to monitor response to nivolumab monotherapy in advanced gastric cancer: a multicenter retrospective study.

Michiko Inukai, Tomohiko Nishi, Hiroshi Matsuoka, Kazuhiro Matsuo, Kazumitsu Suzuki, Akiko Serizawa, Shingo Akimoto, Masaya Nakauchi, Tsuyoshi Tanaka, Kenji Kikuchi and 3 more

Abstract readMulticenter Study
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Integrating inflammation-based scores into gastric cancer prognosis.World journal of gastrointestinal surgery · 2026
    Article
  2. Article
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

13 authors.

Michiko InukaiDepartment of Surgery, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake, Toyoake, 470-1192, Aichi, Japan.
Tomohiko NishiDepartment of Surgery, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake, Toyoake, 470-1192, Aichi, Japan. tmhkns@gmail.com.
Hiroshi MatsuokaDepartment of Surgery, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake, Toyoake, 470-1192, Aichi, Japan.
Kazuhiro MatsuoDepartment of Surgery, Fujita Health University Okazaki Medical Center, 1-Gotanda, Harisaki-cho, Okazaki, 444-0827, Aichi, Japan.
Kazumitsu SuzukiDepartment of Surgery, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake, Toyoake, 470-1192, Aichi, Japan.
Akiko SerizawaDepartment of Surgery, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake, Toyoake, 470-1192, Aichi, Japan.
Shingo AkimotoDepartment of Surgery, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake, Toyoake, 470-1192, Aichi, Japan.
Masaya NakauchiDepartment of Advanced Robotic and Endoscopic Surgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, 470-1192, Aichi, Japan.
Tsuyoshi TanakaDepartment of Surgery, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake, Toyoake, 470-1192, Aichi, Japan.
Kenji KikuchiDepartment of Surgery, Fujita Health University Okazaki Medical Center, 1-Gotanda, Harisaki-cho, Okazaki, 444-0827, Aichi, Japan.
Susumu ShibasakiDepartment of Surgery, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake, Toyoake, 470-1192, Aichi, Japan.
Ichiro UyamaDepartment of Advanced Robotic and Endoscopic Surgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, 470-1192, Aichi, Japan.
Koichi SudaDepartment of Surgery, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake, Toyoake, 470-1192, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNonresectable gastric cancer develops rapidly; thus, monitoring disease progression especially in patients receiving nivolumab as late-line therapy is important. Biomarkers may facilitate the evaluation of nivolumab treatment response. Herein, we assessed the utility of serum-based inflammatory indicators for evaluating tumor response to nivolumab.

methodsThis multicenter retrospective cohort study included 111 patients treated with nivolumab monotherapy for nonresectable advanced or recurrent gastric cancer from October 2017 to October 2021. We measured changes in the C-reactive protein (CRP)-to-albumin ratio (CAR), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR) in serum from baseline to after the fourth administration of nivolumab. Furthermore, we calculated the area under the receiver operating characteristic curves (AUC ROCs) for CAR, PLR, and NLR to identify the optimal cutoff values for treatment response. We also investigated the relationship between clinicopathologic factors and disease control (complete response, partial response, and stable disease) using the chi-squared test.

resultsThe overall response rate (complete and partial response) was 11.7%, and the disease control rate was 44.1%. The median overall survival (OS) was 14.0 (95% CI 10.7‒19.2) months, and the median progression-free survival (PFS) was 4.1 (95% CI 3.0‒5.9) months. The AUC ROCs for CAR, PLR, and NLR before nivolumab monotherapy for patients with progressive disease (PD) were 0.574 (95% CI, 0.461‒0.687), 0.528 (95% CI, 0.418‒0.637), and 0.511 (95% CI, 0.401‒0.620), respectively. The values for changes in CAR, PLR, and NLR were 0.766 (95% CI, 0.666‒0.865), 0.707 (95% CI, 0.607‒0.807), and 0.660 (95% CI 0.556‒0.765), respectively. The cutoff values for the treatment response were 3.0, 1.3, and 1.4 for CAR, PLR, and NLR, respectively. The PFS and OS were significantly longer when the treatment response values for changes in CAR, PLR, and NLR were below these cutoff values (CAR: OS, p < 0.0001 and PFS, p < 0.0001; PLR: OS, p = 0.0289 and PFS, p = 0.0302; and NLR: OS, p = 0.0077 and PFS, p = 0.0044).

conclusionsMeasurement of the changes in CAR, PLR, and NLR could provide a simple, prompt, noninvasive method to evaluate response to nivolumab monotherapy.

trial registrationThis study is registered with number K2023006.

Indexed as

NivolumabStomach NeoplasmsAdultAgedAged, 80 and overAntineoplastic Agents, ImmunologicalBiomarkers, TumorBlood PlateletsC-Reactive ProteinFemaleHumansInflammationLymphocyte CountLymphocytesMaleMiddle AgedAntineoplastic Agents, ImmunologicalBiomarkers, TumorC-Reactive ProteinNivolumabBiomarkersBlood plateletsChemotherapyC-Reactive proteinLymphocytesNeutrophilsNivolumabSerum albuminStomach neoplasms

Identifiers

PMID39251991
PMCPMC11382521

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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.