Evidence map›Paper›PMID 26404496›Full record

ReviewMolecular oncology2015

T-cell receptor profiling in cancer.

Ilan Kirsch, Marissa Vignali, Harlan Robins

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
6.0field-weighted citation impact, top 2% 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

84 citing papers in PubMed, 140 citations in OpenAlex.

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24 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Ilan KirschAdaptive Biotechnologies, Seattle, WA, USA. Electronic address: lkirsch@adaptivebiotech.com.
Marissa VignaliAdaptive Biotechnologies, Seattle, WA, USA.
Harlan RobinsAdaptive Biotechnologies, Seattle, WA, USA; Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Adaptive Biotechnologies (United States) · USFred Hutch Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunosequencing is a platform technology that allows the enumeration, specification and quantification of each and every B- and/or T-cell in any biologic sample of interest. Thus, it provides an assessment of the level and distribution of all the clonal lymphocytes in any sample, and allows "tracking" of a single clone or multiple clones of interest over time or from tissue to tissue within a given patient. It is based on bias-controlled multiplex PCR and high-throughput sequencing, and it is highly accurate, standardized, and sensitive. In this review, we provide evidence that immunosequencing is becoming an important analytic tool for the emerging field of immune-oncology, and describe several applications of this approach, including the assessment of residual disease post therapy in lymphoid malignancies, the prediction of response to immunotherapeutics of solid tumors containing tumor infiltrating lymphocytes, the identification of clonal responses in vaccination, infectious disease, bone marrow reconstitution, and autoimmunity, and the exploration of whether there are population-based stereotyped responses to certain exposures or interventions.

Indexed as

HumansNeoplasmsReceptors, Antigen, T-CellReceptors, Antigen, T-CellIg/TCR sequence biomarkersImmunosequencingLymphoid clonality assessment/tracking

Identifiers

PMID26404496
PMCPMC5528728
OpenAlexW1631719479

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.