Evidence map›Paper›PMID 41926756›Full record

ArticleThe oncologist2026

Concurrent tissue and circulating tumor DNA analysis in renal cell carcinoma: insights from a multimodal database.

Chinmay T Jani, Elizabeth Tran, Ellen Jaeger, Jianjie Dong, Nabil Husni, Melissa C Stoppler, Adam J Hockenberry, Jacob Mercer, Sumanta Pal, Neeraj Agarwal and 4 more

Abstract read
In one paragraph

Article in The oncologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Chinmay T JaniUniversity of Miami/Sylvester Comprehensive Cancer Center, Miami, FL, 33136, United States.ORCID 0000-0002-6917-5568
Elizabeth TranUniversity of California San Diego, La Jolla, CA, 92037, United States.
Ellen JaegerTempus AI, Inc., Chicago, IL, 60654, United States.
Jianjie DongScripps Institute, San Diego, La Jolla, CA, 92037, United States.
Nabil HusniTempus AI, Inc., Chicago, IL, 60654, United States.
Melissa C StopplerTempus AI, Inc., Chicago, IL, 60654, United States.
Adam J HockenberryTempus AI, Inc., Chicago, IL, 60654, United States.
Jacob MercerTempus AI, Inc., Chicago, IL, 60654, United States.
Sumanta PalCity of Hope, Duarte, CA, 91010, United States.
Neeraj AgarwalHuntsman Cancer Center, Salt Lake City, UT, 84112, United States.ORCID 0000-0003-1076-0428
Toni K ChoueiriDana-Farber Cancer Institute, Boston, MA, 02215, United States.
Brent RoseUniversity of California San Diego, La Jolla, CA, 92037, United States.
Aditya BagrodiaUniversity of California San Diego, La Jolla, CA, 92037, United States.
Rana R McKayDana-Farber Cancer Institute, Boston, MA, 02215, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCirculating tumor DNA (ctDNA) sequencing complements tissue-based next-generation sequencing (NGS), offering noninvasive and serial testing. We explore the mutational landscape of renal cell carcinoma (RCC) using matched tissue and ctDNA data to assess complementarity and clinical significance of molecular alterations.

methodsFrom the Tempus multimodal database, we retrospectively analyzed de-identified data from patients with RCC with concurrent tissue (Tempus xT) and ctDNA testing (Tempus xF). Patients with xT and xF matched samples (collected ±90 days of one another) were included. We evaluated socio-demographic and clinical characteristics and selected pathogenic somatic short variants (PSSVs) and copy number variants (CNV). Analyses were restricted to the 104 genes shared by all assays.

resultsAmong 392 patients, 66% (n = 259) had metastatic disease. The median time from tissue to blood collection was 21 days. The most common tissue sites were kidney (49%, n = 189) and bone (11%, n = 43). Frequently altered tissue-tested genes were: VHL (59%), PBRM1 (32%), and SETD2 (23%). Most frequently altered genes in ctDNA were TP53 (23%), VHL (18%), BAP1 (6%), and PBRM1 (5%); notably, 176 patients did not have any pathogenic or likely pathogenic variants detected in the 104 genes analyzed. Complementary ctDNA and tissue testing detected 6% more alterations than tissue testing alone, with greater concordance in metastatic cases.

conclusionctDNA testing offers complementary insights to tissue NGS in RCC, particularly in metastatic disease, suggesting the potential utility of ctDNA in advanced RCC. Longitudinal analysis may enhance delineation of biomarkers of response and resistance at mutation and ctDNA fraction levels.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellCirculating Tumor DNAKidney NeoplasmsAdultAgedDNA-Binding ProteinsDNA Copy Number VariationsFemaleHigh-Throughput Nucleotide SequencingHistone-Lysine N-MethyltransferaseHumansMaleMiddle AgedMutationRetrospective StudiesBiomarkers, TumorCirculating Tumor DNADNA-Binding ProteinsHistone-Lysine N-MethyltransferasePBRM1 protein, humanSETD2 protein, humanTranscription FactorsctDNAkidney cancerRCCtissue NGS

Identifiers

PMID41926756
PMCPMC13127420

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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.