Evidence map›Paper›PMID 42058215›Full record

ArticleFrontiers in immunology2026

Integrated clinicopathological, genomic, and immunophenotypic landscape of renal tubulocystic oncocytoma.

Wenchi Wang, Hengxing Zhu, Chunyu Chen, Man Sun, Honglong Wang, Yu Tai, Sishan Chen, Zhuo Liu, Bo Fan, Yinghua Li

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

10 authors.

Wenchi Wang *Department of Oncology, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Hengxing Zhu *Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Chunyu Chen *Department of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Man SunDepartment of Emergency Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Honglong WangDepartment of Pathology, Dalian Friendship Hospital, Dalian, Liaoning, China.
Yu TaiDepartment of Anesthesiology, Dalian Medical University, Dalian, Liaoning, China.
Sishan ChenDepartment of Anesthesiology, Dalian Medical University, Dalian, Liaoning, China.
Zhuo LiuDepartment of Urology, Peking University Third Hospital, Beijing, China.
Bo FanDepartment of Urology, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Yinghua LiDepartment of Oncology, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Renal tubulocystic oncocytoma (RTO) is an exceptionally rare variant of renal oncocytoma (RO) with poorly understood genetic underpinnings. This study aimed to characterize the clinicopathological features and genomic landscape of RTO to enhance diagnostic precision and elucidate its molecular profile. Methods: Whole-exome sequencing (WES) was performed on a pathologically confirmed case of RTO to identify somatic mutations. Bioinformatics filtering identified single-nucleotide variants (SNVs) and insertions/deletions (INDELs), which were screened against databases such as the Cancer Gene Census (CGC) to identify potential driver and predisposing genes. Findings were validated via Sanger sequencing. Immunohistochemistry (IHC) was utilized for diagnostic marker assessment and tumor microenvironment (TME) characterization. Furthermore, a literature-based analysis of reported RTO cases was conducted across multiple databases, including PubMed, Ovid, Google Scholar, EMBASE, and Scopus. Results: WES analysis identified 399 somatic SNVs and 91 INDELs, as well as mutations in 14 candidate predisposing genes and 27 candidate driver genes, including mutations in 3 predisposing genes (COL7A1, CSF3R, and MKL1) and 11 driver genes (ZFHX3, TSC2, NFATC2, TCF7L2, TLR4, RANBP17, ITK, NEB [Chr2:152499355], NUP214, FBN2, and NEB [Chr2:152544903]). Drug-target prediction and resistance analysis identified several variants with potential therapeutic relevance. IHC staining confirmed positive expression of CD117, EMA, and E-cadherin, supporting the differential diagnosis. TME profiling revealed an "immune-cold" phenotype characterized by low densities of CD4+, CD8+, and FOXP3+ T cells, CD19+ and CD20+ B cells, CD56+ and CD57+ NK cells, and CD163+ tumor-associated macrophages, alongside minimal checkpoint activity and focal fibroblast activation. A comparative analysis with eight previously reported cases further contextualized these clinicopathological and immunophenotypic findings. Conclusions: This study provides a comprehensive genomic characterization of RTO. The integration of molecular profiling, histopathology, and literature-based comparison broadens the understanding of RTO's molecular and immunophenotypic landscape, providing a foundation for future hypothesis-driven research.

Indexed as

Adenoma, OxyphilicBiomarkers, TumorKidney NeoplasmsExome SequencingFemaleGenetic Predisposition to DiseaseGenomicsHumansImmunophenotypingMaleMiddle AgedMutationTumor MicroenvironmentBiomarkers, Tumorgenomic landscapeimmunohistochemistryrenal tubulocystic oncocytomatumor microenvironmentwhole-exome sequencing

Identifiers

PMID42058215
PMCPMC13120908

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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.