Evidence map›Paper›PMID 40649942›Full record

ArticleInternational journal of molecular sciences2025

Comparative Transcriptomics Study of Curcumin and Conventional Therapies in Translocation, Clear Cell, and Papillary Renal Cell Carcinoma Subtypes.

Moses Owoicho Abah, Deborah Oganya Ogenyi, Angelina V Zhilenkova, Freddy Elad Essogmo, Ikenna Kingsley Uchendu, Yvan Sinclair Ngaha Tchawe, Akaye Madu Pascal, Natalia M Nikitina, Onoja Solomon Oloche, Maria Pavliv and 6 more

Abstract readComparative Study
In one paragraph

Article in International journal of molecular sciences, 2025. 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. Curcumin mitigated aflatoxin BJournal of animal science and biotechnology · 2026
    Article
  3. Article
  4. Review
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

16 authors.

Moses Owoicho AbahWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.ORCID 0000-0001-9439-1302
Deborah Oganya OgenyiWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.ORCID 0000-0002-3058-0005
Angelina V ZhilenkovaWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.
Freddy Elad EssogmoWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.
Ikenna Kingsley UchenduWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.
Yvan Sinclair Ngaha TchaweWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.ORCID 0009-0003-6059-420X
Akaye Madu PascalWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.ORCID 0009-0005-3459-231X
Natalia M NikitinaWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.ORCID 0000-0003-3311-3290
Onoja Solomon OlocheWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.ORCID 0000-0003-4159-0994
Maria PavlivDepartment of General Medicine, I.M Sechenov First Moscow State Medical University, Moscow 19991, Russia.
Alexander S RusanovWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.ORCID 0000-0002-0658-9130
Varvara D SanikovichWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.ORCID 0000-0002-4840-4106
Yuliya N PirogovaWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.ORCID 0000-0002-6434-3155
Leonid N BagmetWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.
Aleksandra V MoiseevaWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.
Marina I SekachevaWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow 19991, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, there is no standard treatment for renal cell carcinoma (RCC) that is free of side effects and resistance. Additionally, limited information exists on how curcumin affects the gene expression profiles of patients with translocation renal cell carcinoma (tRCC) and papillary renal cell carcinoma (pRCC). The pathways responsible for metastasis in tRCC are still not well understood, and there is no established treatment or reliable biomarker to predict outcomes for metastatic tRCC. Primary clinical data from patients were retrieved from the TCGA database and analyzed using cBioPortal, stitch, string, R and Python. Various analyses were performed, including differential gene expression, protein-protein interaction (PPI) network analysis, drug-targeted gene analysis, gene ontology (GO), enrichment analyses, and systematic searches to assess the impact of curcumin on the transcriptomic profiles of tRCC, pRCC, and clear cell renal cell carcinoma (ccRCC). No significant impact of sensitive genes on survival in KIRC and KIRP was found, though a trend suggested they may delay disease progression. The combination of curcumin with sunitinib showed promise in overcoming drug resistance in ccRCC by inducing ferroptosis, reducing iron, and increasing ADAMTS18 expression. This study, leveraging data from the TCGA database and other databases explored the impact of curcumin on transcriptomic profiles in tRCC, pRCC, and clear cell RCC (ccRCC). Gene analysis revealed immune and metabolic differences, with KIRC showing a stronger immune response. This study is the first to propose that future research into the miR-148/ADAMTS18 genes and the ferroptosis pathway in tRCC and pRCC could lead to the development of new therapies and the identification of novel therapeutic targets, potentially overcoming drug resistance and metastasis.

Indexed as

Carcinoma, PapillaryCarcinoma, Renal CellCurcuminKidney NeoplasmsTranscriptomeGene Expression ProfilingGene Expression Regulation, NeoplasticHumansProtein Interaction MapsSunitinibCurcuminSunitinibcurcuminkidney renal clear cell carcinomakidney renal papillary cell carcinomatranscriptomicstRCCturmeric

Identifiers

PMID40649942
PMCPMC12249829

What OpenQuestion holds

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LicenceCC BY
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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.