Evidence map›Paper›PMID 39840049›Full record

ArticleFrontiers in immunology2024

The combination treatment of RC48 and STAT3 inhibitor acts as a promising therapeutic strategy for basal bladder cancer.

Jingxian Li, Kun Shan, Wei Huang, Qiang Su, Yuanjiong Qi, Zhihong Zhang, Jianqiang Zhu, E Du

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
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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

8 authors.

Jingxian Li *Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Kun Shan *Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Wei Huang *Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Qiang SuTianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Yuanjiong QiTianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Zhihong ZhangTianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Jianqiang ZhuTianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
E DuTianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an antibody-drug conjugate (ADC), disitamab vedotin (RC48) is a promising treatment targeting ERBB2 for locally advanced and metastatic bladder cancer (BLCA). However, the subtype heterogeneity of muscle-invasive bladder cancer (MIBC) often leads to different therapeutic outcomes. In our study, we aim to explore sensitivity differences and mechanisms of different molecular subtypes of MIBC to RC48 treatment and develop a strategy for combination therapy against cancer. Using large-scale mRNA expression profile datasets, Western blotting, and immunohistochemistry, we first found that ERBB2 is upregulated in the luminal type but downregulated in basal bladder cancer. In addition, luminal cells showed higher sensitivity to RC48 than basal cells. Basal cells with ERBB2 overexpression demonstrated increased sensitivity to RC48

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsImmunoconjugatesSTAT3 Transcription FactorUrinary Bladder NeoplasmsAnimalsCell Line, TumorErb-b2 Receptor Tyrosine KinasesFemaleHumansMiceSignal TransductionXenograft Model Antitumor AssaysERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesImmunoconjugatesSTAT3 protein, humanSTAT3 Transcription FactorartesunateMIBCmolecular subtypesRC48-ADCtargeted therapy

Identifiers

PMID39840049
PMCPMC11747467

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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.