Evidence map›Paper›PMID 42733429›Full record

ReviewiScience2026

Metabolic reprogramming-mediated therapeutic resistance in renal cell carcinoma: Mechanisms and targeted intervention strategies.

Han Wu, Xinxin Gan, Siyi Wang, Ruoyao Wang, Jiatao Hu, Linhui Wang, Jiazi Shi

Abstract readReview
In one paragraph

Review in iScience, 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.

Han WuDepartment of Urology, The Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Xinxin GanDepartment of Urology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Siyi WangDepartment of Urology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Ruoyao WangDepartment of Urology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Jiatao HuDepartment of Urology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Linhui WangDepartment of Urology, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Jiazi ShiDepartment of Urology, The Second Affiliated Hospital of Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is one of the most frequent urological tumors and exhibits metabolic reprogramming alongside genetic mutations. RCC cells reprogram pathways involved in glucose, lipid, and amino acid metabolism to meet their energy and anabolic demands. In recent years, targeted drugs, immunotherapy, and radiotherapy have significantly improved the prognosis of patients with metastatic RCC. Nevertheless, the development of resistance remains a major cause of treatment failure and disease progression in metastatic RCC. A deeper understanding of the metabolic mechanisms underlying therapy resistance is critical for refining therapeutic strategies. The molecular mechanism of metabolic reprogramming involved in therapy resistance is comprehensively discussed. Novel strategies for overcoming therapy resistance of RCC are proposed, including the development of new drugs targeting metabolism, nanoparticles co-loaded with anti-tumor drugs, the application of combination therapies, and personalized medicine approaches. In conclusion, this review provides a thorough overview of metabolic alterations in RCC and their role in therapy resistance, highlighting the potential for developing new treatments for RCC.

Indexed as

drug resistancemetabolic reprogrammingminimally invasive surgeryrenal cell carcinomatherapy

Identifiers

PMID42733429
PMCPMC13571134

What OpenQuestion 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 OpenQuestion graph.