Evidence map›Paper›PMID 39537440›Full record

ArticleUrologic oncology2025

Gene expression of prostate-specific membrane antigen (FOLH1) in clear cell renal cell carcinoma predicts angiogenesis and response to tyrosine kinase inhibitors.

Sari Khaleel, Marlon Perera, Nathan Papa, Fengshen Kuo, Mahdi Golkaram, Phillip Rappold, Ritesh R Kotecha, Jonathan Coleman, Paul Russo, Robert Motzer and 2 more

Abstract read
In one paragraph

Article in Urologic oncology, 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. Article
  2. Review
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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

12 authors.

Sari KhaleelMinimally Invasive Urology Institute, The Miriam Hospital, Providence, RI; Warren Alpert Medical School of Brown University, Providence, RI.
Marlon PereraDivision of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia; Department of Surgery, Austin Health, The University of Melbourne, Melbourne, VIC, Australia.
Nathan PapaDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Fengshen KuoDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Mahdi GolkaramRoche Inc, San Diego, CA.
Phillip RappoldDepartment of Urology, University of Rochester Medical Center (URMC), Rochester, NY.
Ritesh R KotechaDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Jonathan ColemanUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Paul RussoUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Robert MotzerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Ed ReznikDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
A Ari HakimiUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY. Electronic address: hakimia@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeCombination systemic therapies (CSTs) of immuno-oncologic (IO) and VEGF-inhibiting agents (VEGFi) have become the standard of care for management of metastatic clear cell renal cell carcinoma (m-ccRCC). However, treatment outcomes vary between patients, with no established biomarkers to determine optimal CST regimens (IO/IO or IO/VEGFi). Prostate Specific Membrane Antigen (PSMA), encoded by the FOLH1 gene, is a marker of tumor neovasculature in ccRCC, the downstream target of VEGFi. We evaluated the relation between FOLH1 expression and angiogenesis, as well as clinical outcomes, in 5 m-ccRCC ST trials. MATERIALS AND

methodsusing Spearman's rank correlation (SPRC) test, we assessed the correlation between FOLH1 expression and gene expression signature (GES) scores corresponding to angiogenic and immunologic features of the tumor microenvironment (TME) of m-ccRCC in our trial cohorts. Using Cox proportional hazard regression (Cox-PHR), we assessed the association between FOLH1 expression level, summarized by within-study quantiles (qFOLH1), and progression-free and overall survival (PFS, OS).

resultsIncreased FOLH1 expression was significantly associated with higher TME angiogenesis GES scores (SPRC +0.5, P < 0.001), but did not consistently correlate with immune feature GES scores. Meta-analysis of PFS in the sunitinib TKI arm of trial cohorts showed an overall positive association with qFOLH1 (HR = 0.89; 95% CI = 0.85-0.94, P < 0.0001). qFOLH1 was not significantly associated with OS in the sunitinib arms of the two trials with OS data (COMPARZ, HR 0.87, 95% CI 0.71-1.07, P = 0.17; and Checkmate-214, HR 0.89, 95% CI 0.67-1.17, P = 0.70).

conclusionsPSMA-encoding FOLH1 gene expression correlates with neoangiogenesis and predicts PFS in m-ccRCC patients treated with sunitinib TKI, suggesting that PSMA PET could be explored as a noninvasive biomarker for guiding CST choice (IO/IO or IO/VEGFi) as well as prediction of treatment response to VEGFi in m-ccRCC patients.

Indexed as

Antigens, SurfaceCarcinoma, Renal CellGlutamate Carboxypeptidase IIKidney NeoplasmsNeovascularization, PathologicProtein Kinase InhibitorsAgedAngiogenesisFemaleHumansMaleMiddle AgedTyrosine Kinase InhibitorsAntigens, SurfaceFOLH1 protein, humanGlutamate Carboxypeptidase IIProtein Kinase InhibitorsTyrosine Kinase InhibitorsbiomarkerProstate-specific membrane antigenrenal cell carcinomatyrosine kinase inhibitor

Identifiers

PMID39537440
PMCPMC11875958

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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.