Evidence map›Paper›PMID 28085544›Full record

ArticleHuman vaccines & immunotherapeutics2017

Identification of immunoglobulin V(D)J recombinations in solid tumor specimen exome files: Evidence for high level B-cell infiltrates in breast cancer.

Wei Lue Tong, Yaping N Tu, Mohammad D Samy, Wade J Sexton, George Blanck

Open access · bronzeAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.9field-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

27 citing papers in PubMed, 63 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Wei Lue Tonga Department of Molecular Medicine , Morsani College of Medicine, University of South Florida , Tampa , FL , USA.
Yaping N Tua Department of Molecular Medicine , Morsani College of Medicine, University of South Florida , Tampa , FL , USA.
Mohammad D Samya Department of Molecular Medicine , Morsani College of Medicine, University of South Florida , Tampa , FL , USA.
Wade J Sextonb Department of Genitourinary Oncology , H. Lee Moffitt Cancer Center and Research Institute , Tampa , FL , USA.
George Blancka Department of Molecular Medicine , Morsani College of Medicine, University of South Florida , Tampa , FL , USA.
University of South Florida · USMoffitt Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has recently become apparent that it is possible to characterize productively recombined, T-cell receptor (TcR) gene segments in tumor exome files, which presumably include representations of the DNA of other cells in the microenvironment. Similar characterizations have been done for TcR recombinations in tumor specimen RNASeq files. While exome files have been used to characterize immunoglobulin gene segment recombinations for tumors closely related to B-cells, immunoglobulin recombinations have yet to be characterized for putative microenvironment cells for solid tumors. Here we report a novel scripted algorithm that detects productive and unproductive immunoglobulin recombinations in both B-cell related tumor exome files and in solid tumor exome files, with the most important result being the relatively high level B-cell infiltrate in breast cancer. This analysis has the potential of streamlining and dramatically augmenting the knowledge base regarding B-cell infiltrates into solid tumors; and leading to antibody reagents directed against tumor antigens and tissue resident, infectious pathogens.

Indexed as

ExomeV(D)J RecombinationAntigens, NeoplasmB-LymphocytesBreast NeoplasmsFemaleHumansImmunoglobulinsAntigens, NeoplasmImmunoglobulinsbreast cancercancer immunologygenomics-based immunoscoringrecombined V(D)J regionsthe cancer genome atlastumor exome filestumor infiltrating B-cells

Identifiers

PMID28085544
PMCPMC5360147
OpenAlexW2577498041

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.