Evidence map›Paper›PMID 27452728›Full record

ArticleScientific reports2016

Immune DNA signature of T-cell infiltration in breast tumor exomes.

Eric Levy, Rachel Marty, Valentina Gárate Calderón, Brian Woo, Michelle Dow, Ricardo Armisen, Hannah Carter, Olivier Harismendy

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Recovery of Immunoglobulin VJ Recombinations from Pancreatic Cancer Exome Files Strongly Correlates with Reduced Survival.Cancer microenvironment : official journal of the International Cancer Microenvironment Society · 2018
    Article
  12. Article
  13. Informatics for cancer immunotherapy.Annals of oncology : official journal of the European Society for Medical Oncology · 2017
    Review
  14. T cell receptor sequencing of early-stage breast cancer tumors identifies altered clonal structure of the T cell repertoire.Proceedings of the National Academy of Sciences of the United States of America · 2017
    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

8 authors.

Eric LevyDivision of Biomedical Informatics, Department of Medicine, University of California San Diego, United States.
Rachel MartyBioinformatics and Systems Biology Graduate Program, University of California San Diego, United States.
Valentina Gárate CalderónCentro de Investigación y Tratamiento del Cancer, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Brian WooMoores Cancer Center, University of California San Diego, United States.
Michelle DowDivision of Biomedical Informatics, Department of Medicine, University of California San Diego, United States.
Ricardo ArmisenCentro de Investigación y Tratamiento del Cancer, Facultad de Medicina, Universidad de Chile, Santiago, Chile.
Hannah CarterDivision of Medical Genetics, Department of Medicine, University of California San Diego, United States.
Olivier HarismendyDivision of Biomedical Informatics, Department of Medicine, University of California San Diego, United States.

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9M
San Diego Clinical and Translational Research InstituteUL1TR000100 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S · 2012 to 2015
$19.7M
iDASH: Integrating Data for Analysis, Anonymization, and SharingU54HL108460 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2015
$19.1M
San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
Elucidating the molecular and contextual basis for IDLE ultralow risk lesions and the tumor immune microenvironment of high risk in situ and invasive breast cancersU01CA196406 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOROWSKY, ALEXANDER D, ESSERMAN, LAURA J · 2015 to 2020
$5.8M
Network approaches to identify cancer drivers from high-dimensional tumor dataDP5OD017937 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CARTER, HANNAH KATHRYN · 2013 to 2017
$1.9M
In vivo detection and genome-wide location analysis of DNA-adductsR21CA177519 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HARISMENDY, OLIVIER, HOWELL, STEPHEN B · 2013 to 2015
$667k
NCATS NIH HHS UL1 TR000100NCI NIH HHS P30 CA023100NCI NIH HHS R21 CA177519NCI NIH HHS U01 CA196406NHLBI NIH HHS U54 HL108460NIH HHS DP5 OD017937NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

Tumor infiltrating lymphocytes (TILs) have been associated with favorable prognosis in multiple tumor types. The Cancer Genome Atlas (TCGA) represents the largest collection of cancer molecular data, but lacks detailed information about the immune environment. Here, we show that exome reads mapping to the complementarity-determining-region 3 (CDR3) of mature T-cell receptor beta (TCRB) can be used as an immune DNA (iDNA) signature. Specifically, we propose a method to identify CDR3 reads in a breast tumor exome and validate it using deep TCRB sequencing. In 1,078 TCGA breast cancer exomes, the fraction of CDR3 reads was associated with TILs fraction, tumor purity, adaptive immunity gene expression signatures and improved survival in Her2+ patients. Only 2/839 TCRB clonotypes were shared between patients and none associated with a specific HLA allele or somatic driver mutations. The iDNA biomarker enriches the comprehensive dataset collected through TCGA, revealing associations with other molecular features and clinical outcomes.

Indexed as

Adaptive ImmunityBreast NeoplasmsComplementarity Determining RegionsExomeFemaleGene Expression ProfilingGenes, T-Cell Receptor betaHumansLymphocytes, Tumor-InfiltratingReceptors, Antigen, T-Cell, alpha-betaT-LymphocytesComplementarity Determining RegionsReceptors, Antigen, T-Cell, alpha-beta

Identifiers

PMID27452728
PMCPMC4958917

What OpenQuestion holds

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LicenceCC BY
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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.