Evidence map›Paper›PMID 42614207›Full record

ArticleFrontiers in oncology2026

Targeting MEST using cobicistat as a therapeutic strategy for gastric cancer through suppressing NF-κB signaling.

Hongtai Cao, Huili Ye, Wentao Zhang, Weiwen Cai, Haobo Han, Junmin Zhu, Yuman Dong, Wengui Shi, Zhenming Zhang, Long Qin and 1 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 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

11 authors.

Hongtai Cao *Department of General Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Huili Ye *Cuiying Biomedical Research Center, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Wentao ZhangDepartment of General Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Weiwen CaiDepartment of General Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Haobo HanDepartment of General Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Junmin ZhuDepartment of General Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Yuman DongCuiying Biomedical Research Center, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Wengui ShiCuiying Biomedical Research Center, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Zhenming ZhangDepartment of General Surgery, Hexi University & Zhangye People's Hospital, Zhangye, China.
Long QinCuiying Biomedical Research Center, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Zuoyi JiaoDepartment of General Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gastric cancer (GC) constitutes a substantial global public health challenge, and the lack of tractable molecular targets limits therapeutic progress. Mesoderm-Specific Transcript (MEST) has been implicated in tumor-related signaling, yet its functional role and druggability in GC remain undefined. Methods: The analyses of GC tissue microarrays and cohorts were performed to evaluate MEST expression and its clinical significance. CRISPR/Cas9-mediated MEST knockout was used to characterize its oncogenic functions in GC cells and xenograft models. Integrated RNA sequencing and pathway analysis was utilized to elucidate signaling pathways under the regulation of MEST. A structure-guided virtual screen combined with SPR binding and phenotypic assays were employed to discover small molecules targeting MEST. The therapeutic effects and mechanism of the lead compound were evaluated using GC cell lines, patient-derived organoids, cell-derived xenograft (CDX), and patient-derived xenograft (PDX) models. Methods: MEST expression in GC tissues was elevated and linked to poor prognosis. Functionally, genetic ablation of MEST impaired GC cell proliferation, invasion, migration, and suppressed tumor growth in CDX models. Screening of approved-compound libraries identified cobicistat as a previously unrecognized high-affinity candidate MEST-inhibitory compound. Cobicistat suppressed tumor growth across a panel of preclinical GC models, including cell lines, organoids, CDX and PDX. Mechanistically, MEST may drive GC progression by activating the NF-κB pathway, whereas cobicistat may antagonize MEST binding and blocked NF-κB pathway. Conclusion: MEST functions as a key oncoprotein driving GC progression via NF-κB activation. Cobicistat, a candidate MEST-inhibitory compound, exhibits favorable preclinical efficacy and safety, providing a promising candidate for targeted GC therapy.

Indexed as

cobicistatgastric cancerMESTNF-κB signalingpreclinical modelstargeted therapy

Identifiers

PMID42614207
PMCPMC13481203

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.