Evidence map›Paper›PMID 40038236›Full record

ArticleCell death & disease2025

High baseline levels of PD-L1 reduce the heterogeneity of immune checkpoint signature and sensitize anti-PD1 therapy in lung and colorectal cancers.

Peng Fan, Ziwei Qi, Zhenhua Liu, Shanshan Wang, Ying Wang, Jiajie Kuai, Naidong Zhang, Wei Xu, Songbing Qin, Eleonora Candi and 1 more

Abstract read
In one paragraph

Article in Cell death & disease, 2025. 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
–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

7 citing papers in PubMed.

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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

11 authors.

Peng Fan *Cyrus Tang Medical Institute, State Key Laboratory of Radiation Medicine and Prevention, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China.
Ziwei Qi *Cyrus Tang Medical Institute, State Key Laboratory of Radiation Medicine and Prevention, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China.
Zhenhua Liu *Department of Radiotherapy, the First Affiliated Hospital of Soochow University, Suzhou, China.
Shanshan WangCyrus Tang Medical Institute, State Key Laboratory of Radiation Medicine and Prevention, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China.
Ying WangCyrus Tang Medical Institute, State Key Laboratory of Radiation Medicine and Prevention, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China.
Jiajie KuaiInstitute of Clinical Pharmacology, Key Laboratory of Anti-Inflammatory and Immune Medicine, Ministry of Education, Anhui Collaborative Innovation Center of Anti-inflammatory and Immune Medicine, Anhui Medical University, Hefei, China.
Naidong ZhangCyrus Tang Medical Institute, State Key Laboratory of Radiation Medicine and Prevention, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China.
Wei XuNew Drug Biology and Translational Medicine, Innovent Biologics Inc., Suzhou, China.
Songbing QinDepartment of Radiotherapy, the First Affiliated Hospital of Soochow University, Suzhou, China. qin92244@163.com.
Eleonora CandiDepartment of Experimental Medicine, TOR, University of Rome "Tor Vergata", Rome, Italy.ORCID http://orcid.org/0000-0001-8332-4825
Yuhui HuangCyrus Tang Medical Institute, State Key Laboratory of Radiation Medicine and Prevention, Collaborative Innovation Center of Hematology, Soochow University, Suzhou, China. huangyh@suda.edu.cn.ORCID http://orcid.org/0000-0003-1985-3575

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82073337National Natural Science Foundation of China (National Science Foundation of China) 82150106, 82473305
6 · The paper itself

Abstract

Immune checkpoint blockade (ICB) therapy only induces durable responses in a subset of cancer patients. The underlying mechanisms of such selective efficacy remain largely unknown. By analyzing the expression profiles of immune checkpoint molecules in different statuses of murine tumors, we found that tumor progression generally randomly upregulated multiple immune checkpoints, thus increased the Heterogeneity of Immune checkpoint Signature (HIS) and resulted in immunotherapeutic resistance. Interestingly, overexpressing one pivotal immune checkpoint in a tumor hindered the upregulation of a majority of other immune checkpoint genes during tumor progression via suppressing interferon γ, resulting in HIS-low. Indeed, PD-L1 high-expression sensitized baseline large tumors to anti-PD1 therapy without altering the sensitivity of baseline small tumors. In line with these preclinical results, a retrospective analysis of a phase III study involving patients with non-small cell lung cancer (NSCLC) revealed that PD-L1 tumor proportion score (TPS) ≥ 50% more reliably predicted therapeutic response in NSCLC patients with baseline tumor volume (BTV)-large compared to patients with BTV-small. Notably, TPS combined with BTV significantly improved the predictive accuracy. Collectively, the data suggest that HIS reflects the dynamic features of tumor immune evasion and dictates the selective efficacy of ICB in a tumor size-dependent manner, providing a potential novel strategy to improve precision ICB. These findings highlight the application of ICB to earlier stages of cancer patients. The integration of PD-L1 with BTV may immediately improve patient stratification and prediction performance in the clinic.

Indexed as

B7-H1 AntigenCarcinoma, Non-Small-Cell LungColorectal NeoplasmsImmune Checkpoint InhibitorsLung NeoplasmsProgrammed Cell Death 1 ReceptorAnimalsCell Line, TumorFemaleHumansMaleMiceB7-H1 AntigenCD274 protein, humanImmune Checkpoint InhibitorsProgrammed Cell Death 1 Receptor

Identifiers

PMID40038236
PMCPMC11880386

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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.