Evidence map›Paper›PMID 42512315›Full record

ArticleCancers2026

Integrative Multi-Transcriptomic Uncovers Actionable Signatures and Drug Repurposing Candidates for ccRCC-Hypertension Comorbidity.

Yinnan Zhang, Boon Seng Kho, Xixi Wang, Huanhuan Lu, Miao Zhu, Rentao Zhu, Yinyin Wang

Abstract read
In one paragraph

Article in Cancers, 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

7 authors.

Yinnan ZhangDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Boon Seng KhoDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Xixi WangRehabilitation Department, Changzhou Children's Hospital, Nantong University, Nantong 213003, China.
Huanhuan LuDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Miao ZhuRehabilitation Department, Changzhou Children's Hospital, Nantong University, Nantong 213003, China.
Rentao ZhuKunshan Fifth People's Hospital, Suzhou 215341, China.
Yinyin WangDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.ORCID 0000-0002-0323-5345

Funding

2023 Science and Technology Project of Changzhou Health Commission No. ZD202349Hospital-Level Project of Changzhou Children's Hospital No. EY201908Jiangsu Province Science Foundation for Youths No. BK 20231024National Natural Science Foundation of China No. 82405499Young Scientists Fund of the National Natural Science Foundation of China No. 82405199
6 · The paper itself

Abstract

backgroundHypertension is a common comorbidity and risk factor for clear cell renal cell carcinoma (ccRCC), yet the molecular mechanisms linking these two diseases remain unclear. This study aimed to investigate hypertension-related molecular signatures in ccRCC using integrated multi-transcriptomic analyses.

methodHypertension-related differentially expressed genes (DEHRGs) in ccRCC were identified by integrating transcriptomic data from the TCGA-KIRC cohort with the GeneCards database. Functional enrichment, WGCNA, machine learning, GSVA, survival analysis, and Mendelian randomization were performed to identify and characterize hub genes. Spatial and single-cell transcriptomic analyses were used to investigate tumor heterogeneity and predict candidate therapeutic compounds, which were subsequently evaluated in vitro.

resultsFour hypertension-related hub genes-

conclusionsThis study systematically characterized hypertension-related molecular signatures in ccRCC and identified

Indexed as

clear cell renal cell carcinomahypertensionintegrative analysis

Identifiers

PMID42512315
PMCPMC13406899

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.