Evidence map›Paper›PMID 42336657›Full record

ArticleJournal for immunotherapy of cancer2026

From M7824 to SHR-1701: lessons for dual PD-L1/TGF-β targeting.

Ming Yi, Tianye Li, Kongming Wu, Zhijun Dai

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ming Yi *Department of Breast Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Tianye Li *Department of Gynecology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Kongming WuDepartment of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China dzj0911@zju.edu.cn kmwu@tjh.tjmu.edu.cn.ORCID http://orcid.org/0000-0003-2499-1032
Zhijun DaiDepartment of Breast Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China dzj0911@zju.edu.cn kmwu@tjh.tjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retlirafusp alfa (SHR-1701), a bifunctional programmed death-ligand 1 (PD-L1) antibody fused to a TGF-β trap, was approved in China on January 7, 2026 for first-line treatment of PD-L1-positive advanced gastric or gastroesophageal junction adenocarcinoma with chemotherapy. This first-in-class milestone revisits a key question raised by bintrafusp alfa (M7824): why can dual PD-L1/TGF-β targeting be active in selected settings yet inconsistent across tumors? We highlight that TGF-β-driven immune suppression and immune exclusion are often spatially organized within stromal niches, vary across indications, and are not always the dominant barrier even when PD-L1 is expressed. SHR-1701's approval provides proof of principle in a defined context and supports mechanism-aligned development using biomarker-driven selection, rational combinations and sequencing, and pharmacodynamic endpoints that directly test these assumptions.

Indexed as

B7-H1 AntigenImmune Checkpoint InhibitorsTransforming Growth Factor betaAnimalsAntibodies, MonoclonalHumansRecombinant Fusion ProteinsAntibodies, MonoclonalB7-H1 AntigenCD274 protein, humanImmune Checkpoint InhibitorsRecombinant Fusion ProteinsSHR-1701Transforming Growth Factor betaAntibodyImmune Checkpoint InhibitorSolid tumorTumor microenvironment - TME

Identifiers

PMID42336657
PMCPMC13295959

What OpenQuestion holds

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LicenceCC BY-NC
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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.