Evidence map›Paper›PMID 42680845›Full record

ReviewCell death and differentiation2026

Renal cell carcinoma: molecular understanding and therapeutic development.

Tao Hou, Xiangmei Hua, Wei Ni, Peiqiang Yan, Hiroyuki Inuzuka, Wenyi Wei

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cell death and differentiation, 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

6 authors.

Tao HouDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Xiangmei HuaDepartment of Dermatology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Wei NiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0002-5729-827X
Peiqiang YanDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Hiroyuki InuzukaDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Wenyi WeiDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. wwei2@bidmc.harvard.edu.ORCID http://orcid.org/0000-0003-0512-3811

Funding

National Cancer Center R01CA291991National Cancer Center (NCC) R35CA253027
6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is a highly heterogeneous malignancy characterized by diverse molecular alterations and dynamic evolutionary trajectories. Advances in genomics and molecular profiling have shifted RCC management from morphology-based classification toward molecularly informed diagnosis and therapy. In this review, we integrate recent multi-omics and clinical advances to define the evolving biological and therapeutic landscape of RCC. We highlight how the 2022 WHO classification incorporates molecular features to refine pathological subtyping and summarize key driver genetic alterations underlying major RCC entities. We then discuss insights derived from multi-region sequencing studies, including TRACERx Renal, which demonstrate how intratumoral heterogeneity, branched evolution, and clonal selection shape disease progression and therapeutic resistance. We further examine subtype-specific metabolic programs, with particular emphasis on dysregulation of the AMPK-mTORC1 signaling axis and distinct metabolic dependencies across clear cell and non-clear-cell RCC. We additionally highlight cell death regulation and differentiation plasticity as integrative themes that connect molecular pathogenesis to therapeutic vulnerability, with sarcomatoid and rhabdoid dedifferentiation as a key example. Finally, we review the evolution of systemic therapies, from VEGF-targeted tyrosine kinase inhibitors to immune checkpoint-based combinations, and outline emerging strategies, including HIF-2α inhibition, PD-1/VEGF bispecific antibodies, and subtype-specific metabolic and epigenetic dependencies. Collectively, this review provides an integrated framework linking molecular evolution, metabolic reprogramming, and therapeutic development, with the goal of advancing biomarker-driven precision management in RCC.

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.