Evidence map›Paper›PMID 29138313›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

T cell receptor sequencing of early-stage breast cancer tumors identifies altered clonal structure of the T cell repertoire.

John F Beausang, Amanda J Wheeler, Natalie H Chan, Violet R Hanft, Frederick M Dirbas, Stefanie S Jeffrey, Stephen R Quake

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

48 citing papers in PubMed, 70 citations in OpenAlex.

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  6. Immune organoid for cancer immunotherapy.Acta pharmaceutica Sinica. B · 2025
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  20. T-cell repertoire diversity: friend or foe for protective antitumor response?Journal of experimental & clinical cancer research : CR · 2022
    Review
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 at 1 institution in 1 country.

John F BeausangDepartment of Bioengineering, Stanford University, Stanford, CA 94305.
Amanda J WheelerDepartment of Surgery, Stanford University School of Medicine, Stanford, CA 94305.
Natalie H ChanDepartment of Surgery, Stanford University School of Medicine, Stanford, CA 94305.
Violet R HanftDepartment of Surgery, Stanford University School of Medicine, Stanford, CA 94305.
Frederick M DirbasDepartment of Surgery, Stanford University School of Medicine, Stanford, CA 94305.
Stefanie S JeffreyDepartment of Surgery, Stanford University School of Medicine, Stanford, CA 94305.
Stephen R QuakeDepartment of Bioengineering, Stanford University, Stanford, CA 94305; quake@stanford.edu.
Stanford University · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Tumor-infiltrating T cells play an important role in many cancers, and can improve prognosis and yield therapeutic targets. We characterized T cells infiltrating both breast cancer tumors and the surrounding normal breast tissue to identify T cells specific to each, as well as their abundance in peripheral blood. Using immune profiling of the T cell beta-chain repertoire in 16 patients with early-stage breast cancer, we show that the clonal structure of the tumor is significantly different from adjacent breast tissue, with the tumor containing ∼2.5-fold greater density of T cells and higher clonality compared with normal breast. The clonal structure of T cells in blood and normal breast is more similar than between blood and tumor, and could be used to distinguish tumor from normal breast tissue in 14 of 16 patients. Many T cell sequences overlap between tissue and blood from the same patient, including ∼50% of T cells between tumor and normal breast. Both tumor and normal breast contain high-abundance "enriched" sequences that are absent or of low abundance in the other tissue. Many of these T cells are either not detected or detected with very low frequency in the blood, suggesting the existence of separate compartments of T cells in both tumor and normal breast. Enriched T cell sequences are typically unique to each patient, but a subset is shared between many different patients. We show that many of these are commonly generated sequences, and thus unlikely to play an important role in the tumor microenvironment.

Indexed as

AdultAgedBreastBreast NeoplasmsComplementarity Determining RegionsFemaleGenes, T-Cell Receptor betaHigh-Throughput Nucleotide SequencingHumansLymphocytes, Tumor-InfiltratingMiddle AgedPrognosisReceptors, Antigen, T-Cell, alpha-betaSequence Analysis, DNAT-LymphocytesTumor MicroenvironmentComplementarity Determining RegionsReceptors, Antigen, T-Cell, alpha-betabreast cancerrepertoire sequencingT cell receptor

Identifiers

PMID29138313
PMCPMC5715779
OpenAlexW2744653597

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.