Evidence map›Paper›PMID 36185254›Full record

ArticleFrontiers in oncology2022

Integrated TCR repertoire analysis and single-cell transcriptomic profiling of tumor-infiltrating T cells in renal cell carcinoma identifies shared and tumor-restricted expanded clones with unique phenotypes.

Yuexin Xu, Alicia J Morales, Andrea M H Towlerton, Shreeram Akilesh, Chris P Miller, Scott S Tykodi, Edus H Warren

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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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

7 authors.

Yuexin XuClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Alicia J MoralesClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Andrea M H TowlertonClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Shreeram AkileshClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Chris P MillerClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Scott S TykodiClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Edus H WarrenClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective responses of metastatic renal cell carcinoma (RCC) associated with systemic immunotherapies suggest the potential for T-cell-mediated tumor clearance. Recent analyses associate clonally expanded T cells present in the tumor at diagnosis with responses to immune checkpoint inhibitors (ICIs). To identify and further characterize tumor-associated, clonally expanded T cells, we characterized the density, spatial distribution, T-cell receptor (TCR) repertoire, and transcriptome of tumor-infiltrating T cells from 14 renal tumors at the time of resection and compared them with T cells in peripheral blood and normal adjacent kidney. Multiplex immunohistochemistry revealed that T-cell density was higher in clear cell RCC (ccRCC) than in other renal tumor histologies with spatially nonuniform T-cell hotspots and exclusion zones. TCR repertoire analysis also revealed increased clonal expansion in ccRCC tumors compared with non-clear cell histologies or normal tissues. Expanded T-cell clones were most frequently CD8

Indexed as

renal cell carcinomasingle-cell RNA sequencingT-cell receptor repertoiretumor-infiltrating T-cellstumor microenvironment (TEM)

Identifiers

PMID36185254
PMCPMC9515957

What OpenQuestion holds

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Registered trials

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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.