Evidence map›Paper›PMID 41294834›Full record

ReviewCells2025

Recent Advances in nccRCC Classification and Therapeutic Approaches.

Hewei Wang, Yiyuan Chang, Kaiyan Wang, Rong Liu

Abstract readReview
In one paragraph

Review in Cells, 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. Article
  3. Review
  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

4 authors.

Hewei WangTranslational Cancer Research Center, Peking University First Hospital, Beijing 100034, China.
Yiyuan ChangTranslational Cancer Research Center, Peking University First Hospital, Beijing 100034, China.
Kaiyan WangTranslational Cancer Research Center, Peking University First Hospital, Beijing 100034, China.
Rong LiuTranslational Cancer Research Center, Peking University First Hospital, Beijing 100034, China.ORCID 0000-0001-6123-9152

Funding

This research was funded by Innovative Experiment for College Students of Peking University Health Science Center DC20240423
6 · The paper itself

Abstract

Non-clear cell renal cell carcinoma (nccRCC) constitutes a biologically diverse category of renal malignancies. The 2022 WHO classification framework has significantly evolved to incorporate molecularly defined entities alongside traditional histologic subtypes, reflecting the growing recognition of distinct pathogenic drivers. Current therapeutic paradigms for advanced disease remain suboptimal, with treatment strategies often extrapolated from clear cell renal cell carcinoma (ccRCC). In this review, we highlight transformative multi-omics approaches to address nccRCC's profound heterogeneity, which enables molecular stratification beyond conventional pathology, identifying novel subtypes characterized by unique immune microenvironment features, metabolic profiles, and genomic instability patterns. This molecular reclassification provides a foundational framework for precision oncology, facilitating patient selection for targeted therapies and immunomodulatory strategies. Advancements in multi-omics subtyping represent a pivotal shift toward biologically guided clinical management and underscore the imperative for biomarker-driven therapeutic development in nccRCC.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsBiomarkers, TumorHumansTumor MicroenvironmentBiomarkers, Tumormolecular classificationnon-clear cell renal cell carcinoma (nccRCC)treatment

Identifiers

PMID41294834
PMCPMC12651807

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.