Evidence map›Paper›PMID 24228230›Full record

ArticleOncoimmunology2013

Clonal expansion of renal cell carcinoma-infiltrating T lymphocytes.

Simone P Sittig, Tania Køllgaard, Kirsten Grønbæk, Manja Idorn, Jörg Hennenlotter, Arnulf Stenzl, Cécile Gouttefangeas, Per Thor Straten

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

17 citing papers in PubMed, 34 citations in OpenAlex.

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  14. PD-1/PD-L1 blockade in renal cell cancer.Expert review of clinical immunology · 2017
    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

8 authors at 5 institutions in 3 countries.

Simone P SittigCenter for Cancer Immune Therapy (CCIT); Department of Hematology; Copenhagen University Hospital Herlev; Herlev, Denmark.
Tania Køllgaard
Kirsten Grønbæk
Manja Idorn
Jörg Hennenlotter
Arnulf Stenzl
Cécile Gouttefangeas
Per Thor Straten
Herlev Hospital · DKUniversity of Tübingen · DECopenhagen University Hospital · DKInstitute of Cell Biology · UARigshospitalet · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T lymphocytes can mediate the destruction of cancer cells by virtue of their ability to recognize tumor-derived antigenic peptides that are presented on the cell surface in complex with HLA molecules and expand. Thus, the presence of clonally expanded T cells within neoplastic lesions is an indication of ongoing HLA-restricted T cell-mediated immune responses. Multiple tumors, including renal cell carcinomas (RCCs), are often infiltrated by significant amounts of T cells, the so-called tumor-infiltrating lymphocytes (TILs). In the present study, we analyzed RCC lesions (n = 13) for the presence of expanded T-cell clonotypes using T-cell receptor clonotype mapping. Surprisingly, we found that RCCs comprise relatively low numbers of distinct expanded T-cell clonotypes as compared with melanoma lesions. The numbers of different T-cell clonotypes detected among RCC-infiltrating lymphocytes were in the range of 1-17 (median = 5), and in several patients, the number of clonotypes expanded within tumor lesions resembled that observed among autologous peripheral blood mononuclear cells. Moreover, several of these clonotypes were identical in TILs and PBMCs. Flow cytometry data demonstrated that the general differentiation status of CD8

Indexed as

clonally expanded T cellsrenal cell carcinomaT-cell phenotypesT-cell receptor clonotype mappingtumor-infiltrating lymphocytes

Identifiers

PMID24228230
PMCPMC3820815
OpenAlexW2114655393

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.