Evidence map›Paper›PMID 39464714›Full record

ArticleFrontiers in oncology2024

Chemotherapy combined with immune checkpoint inhibitors may overcome the detrimental effect of high neutrophil-to-lymphocyte ratio prior to treatment in esophageal cancer patients.

Yuya Hirasawa, Yutaro Kubota, Emiko Mura, Risako Suzuki, Toshiaki Tsurui, Nana Iriguchi, Tomoyuki Ishiguro, Ryotaro Ohkuma, Masahiro Shimokawa, Hirotsugu Ariizumi and 10 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 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. 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

20 authors.

Yuya HirasawaDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Yutaro KubotaDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Emiko MuraDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Risako SuzukiDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Toshiaki TsuruiDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Nana IriguchiDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Tomoyuki IshiguroDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Ryotaro OhkumaDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Masahiro ShimokawaDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Hirotsugu AriizumiDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Atsushi HoriikeDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Satoshi WadaDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Takeshi YamashitaShowa University Hospital Esophageal Cancer Center, Esophageal Surgery, Tokyo, Japan.
Tomotake AriyoshiShowa University Hospital Esophageal Cancer Center, Esophageal Surgery, Tokyo, Japan.
Satoru GotoShowa University Hospital Esophageal Cancer Center, Esophageal Surgery, Tokyo, Japan.
Koji OtsukaShowa University Hospital Esophageal Cancer Center, Esophageal Surgery, Tokyo, Japan.
Masahiko MurakamiShowa University Hospital Esophageal Cancer Center, Esophageal Surgery, Tokyo, Japan.
Yuji KiuchiDivision of Medical Pharmacology, Department of Pharmacology, Showa University School of Medicine, Tokyo, Japan.
Kiyoshi YoshimuraDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.
Takuya TsunodaDivision of Medical Oncology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Immune checkpoint inhibitors (ICIs) have emerged as a promising treatment option for esophageal cancer (EC). Although ICIs enable long-term survival in some patients, the efficacy of ICIs varies widely among patients. Therefore, predictive biomarkers are necessary for identifying patients who are most likely to benefit from ICIs to improve the efficacy of the treatment. We retrospectively analyzed the outcomes of combination therapy, including nivolumab plus ipilimumab or chemotherapy plus anti-programmed cell death 1 (PD-1) antibodies in our institute to identify biomarkers. Methods: Twenty-seven patients received nivolumab plus ipilimumab, and thirty-six patients received chemotherapy plus anti-PD-1 antibodies were included in this study. We analyzed patient characteristics, efficacy, and safety. Multivariable analysis of biomarkers evaluated the correlation among overall survival (OS), progression-free survival (PFS), and the following variables: body mass index, performance status, neutrophil-to-lymphocyte ratio (NLR), C-reactive protein level, and albumin level before treatment. Results: In multivariable analysis, albumin level was significantly correlated with PFS in the cisplatin plus 5-fluorouracil (CF) plus pembrolizumab group. NLR and albumin level were significantly correlated with OS in the nivolumab plus ipilimumab group. Other variables, including PS, BMI, and CRP did not correlate with any of the outcomes. Conclusions: High NLR in EC patients prior to treatment was significantly less effective for ICIs. In chemotherapy combined with ICIs, NLR before the treatment was not associated with treatment efficacy, suggesting combination chemotherapy may be beneficial for EC patients with high NLR. NLR may be an indicator of immunocompetence in anti-tumor immunity and a convenient predictive biomarker for selecting appropriate treatments including ICIs.

Indexed as

esophageal cancerimmune checkpoint inhibitorsimmunotherapyneutrophil-to-lymphocyte ratiopredictive biomarker

Identifiers

PMID39464714
PMCPMC11502307

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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.