Evidence map›Paper›PMID 27307436›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Identification of shared TCR sequences from T cells in human breast cancer using emulsion RT-PCR.

Daniel J Munson, Colt A Egelston, Kami E Chiotti, Zuly E Parra, Tullia C Bruno, Brandon L Moore, Taizo A Nakano, Diana L Simons, Grecia Jimenez, John H Yim and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 57 citations in OpenAlex.

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  11. Structures suggest an approach for converting weak self-peptide tumor antigens into superagonists for CD8 T cells in cancer.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  12. Review
  13. T cell receptor sequencing in autoimmunity.Journal of life sciences (Westlake Village, Calif.) · 2020
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 5 institutions in 1 country.

Daniel J MunsonDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO 80045;
Colt A EgelstonDepartment of Immuno-Oncology, Beckman Research Institute, City of Hope, Duarte, CA 91010;
Kami E ChiottiDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR 97201;
Zuly E ParraDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO 80045;
Tullia C BrunoDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO 80045;
Brandon L MooreDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO 80045;
Taizo A NakanoDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO 80045;
Diana L SimonsDepartment of Immuno-Oncology, Beckman Research Institute, City of Hope, Duarte, CA 91010;
Grecia JimenezDepartment of Immuno-Oncology, Beckman Research Institute, City of Hope, Duarte, CA 91010;
John H YimDepartment of Surgery, Beckman Research Institute, City of Hope, Duarte, CA 91010;
Dmitri V RozanovDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR 97201;
Michael T FaltaDepartment of Medicine, University of Colorado School of Medicine, Aurora, CO 80045;
Andrew P FontenotDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO 80045; Department of Medicine, University of Colorado School of Medicine, Aurora, CO 80045;
Paul R ReynoldsDepartment of Pediatrics, National Jewish Health, Denver, CO 80206;
Sonia M LeachCenter for Genes, Environment and Health, National Jewish Health, Denver, CO 80206;
Virginia F BorgesDivision of Medical Oncology, University of Colorado School of Medicine, Aurora, CO 80045;
John W KapplerDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO 80045; Howard Hughes Medical Institute, National Jewish Health, Denver, CO 80206; Department of Biomedical Research, National Jewish Health, Denver, CO 80206; Barbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO 80045 kapplerj@njhealth.org jill.slansky@ucdenver.edu.
Paul T SpellmanDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR 97201;
Peter P LeeDepartment of Immuno-Oncology, Beckman Research Institute, City of Hope, Duarte, CA 91010;ORCID 0000-0002-2660-4377
Jill E SlanskyDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO 80045; kapplerj@njhealth.org jill.slansky@ucdenver.edu.
University of Colorado Denver · USCity of Hope · USOregon Health & Science University · USNational Jewish Health · USHoward Hughes Medical Institute · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
PATHOGENIC T CELLS IN CHRONIC BERYLLIUM DISEASER01HL062410 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI FONTENOT, ANDREW P. · 1998 to 2017
$5.7M
Patient-Oriented Research in Immunologic Lung Disease.K24HL102245 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI FONTENOT, ANDREW P. · 2010 to 2020
$1.4M
NCI NIH HHS P30 CA021765NCI NIH HHS P30 CA046934NHLBI NIH HHS K24 HL102245NHLBI NIH HHS R01 HL062410
6 · The paper itself

Abstract

Infiltration of T cells in breast tumors correlates with improved survival of patients with breast cancer, despite relatively few mutations in these tumors. To determine if T-cell specificity can be harnessed to augment immunotherapies of breast cancer, we sought to identify the alpha-beta paired T-cell receptors (TCRs) of tumor-infiltrating lymphocytes shared between multiple patients. Because TCRs function as heterodimeric proteins, we used an emulsion-based RT-PCR assay to link and amplify TCR pairs. Using this assay on engineered T-cell hybridomas, we observed ∼85% accurate pairing fidelity, although TCR recovery frequency varied. When we applied this technique to patient samples, we found that for any given TCR pair, the dominant alpha- or beta-binding partner comprised ∼90% of the total binding partners. Analysis of TCR sequences from primary tumors showed about fourfold more overlap in tumor-involved relative to tumor-free sentinel lymph nodes. Additionally, comparison of sequences from both tumors of a patient with bilateral breast cancer showed 10% overlap. Finally, we identified a panel of unique TCRs shared between patients' tumors and peripheral blood that were not found in the peripheral blood of controls. These TCRs encoded a range of V, J, and complementarity determining region 3 (CDR3) sequences on the alpha-chain, and displayed restricted V-beta use. The nucleotides encoding these shared TCR CDR3s varied, suggesting immune selection of this response. Harnessing these T cells may provide practical strategies to improve the shared antigen-specific response to breast cancer.

Indexed as

Base SequenceBreast NeoplasmsCell LineEmulsionsFemaleHumansPolymerase Chain ReactionReceptors, Antigen, T-CellT-LymphocytesEmulsionsReceptors, Antigen, T-Cellbreast canceremulsion RT-PCRhigh-throughput sequencingT-cell receptorsT-cell repertoire profiling

Identifiers

PMID27307436
PMCPMC4961128
OpenAlexW2435035615

What OpenQuestion holds

Textmetadata
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.