Evidence map›Paper›PMID 37434847›Full record

ArticleAmerican journal of translational research2023

The expression panel of CXCL9, GBP5, and IFNG is a potential pan-cancer biomarker to predict immunotherapy response.

Jingpu Wang, Yuan Zhou, Yang Yang, Zhouqiao Wu

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Multifaceted Roles of Guanylate-Binding Proteins in Cancer.International journal of molecular sciences · 2025
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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

4 authors at 4 institutions in 3 countries.

Jingpu WangDepartment of Surgery, University Medical Center Utrecht Utrecht, The Netherlands.
Yuan ZhouDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University Beijing, China.
Yang YangDepartment of Thoracic Surgery, The First Affiliated Hospital, Zhengzhou University Zhengzhou, Henan, China.
Zhouqiao WuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery, Peking University Cancer Hospital and Institute Beijing, China.
First Affiliated Hospital of Zhengzhou University · CNMinistry of Education · ETPeking University · CNUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effectiveness of immunotherapy has been validated in multiple cancers. However, not all patients benefit from immunotherapy, and its objective response rate is less than 30% in some cancers, so it is of great importance to find a pan-cancer biomarker that can effectively predict immunotherapy response.

methodsFifteen immunotherapy datasets were retrospectively analyzed to determine pan-cancer biomarkers to predict immunotherapy response. A total of 348 patients with metastatic urothelial carcinoma (mUC) who received anti-PD-L1 immunotherapy from the dataset of IMvigor210 trial were included in the primary analysis. In addition, 12 public immunotherapy datasets of different cancers and two datasets of gastrointestinal cancer patients who received anti-PD-1 or anti-PD-L1 immunotherapy between August 2015 and May 2019 at Peking University Cancer Hospital (PUCH) were analyzed as validation cohorts.

resultsThe expression of CXCL9, IFNG, and GBP5 was independently associated with the response to anti-PD-L1 immunotherapy in patients with mUC. The ability of the expression panel of CXCL9, IFNG, and GBP5 to predict immunotherapy response was validated in immunotherapy datasets of different cancers.

conclusionThe expression panel of CXCL9, IFNG, and GBP5 can potentially be a pan-cancer biomarker for predicting immunotherapy response.

Indexed as

biomarkerImmunotherapypan-cancer

Identifiers

PMID37434847
PMCPMC10331666
OpenAlexW4383998956

What OpenQuestion holds

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Registered trials

None linked

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.