Evidence map›Paper›PMID 30864318›Full record

ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2019

Computational KIR copy number discovery reveals interaction between inhibitory receptor burden and survival.

Rachel M Pyke, Raphael Genolet, Alexandre Harari, George Coukos, David Gfeller, Hannah Carter

Open access · goldAbstract read
In one paragraph

Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 3 institutions in 2 countries.

Rachel M PykeSchool of Medicine, University of California, San Diego, 9500 Gilman Dr., San Diego, CA 92093, USA, ramarty@ucsd.edu.
Raphael Genolet
Alexandre Harari
George Coukos
David Gfeller
Hannah Carter
Ludwig Cancer Research · CHUniversity of California, San Diego · USUniversity of Lausanne · CH

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BADER, GARY D. · 2012 to 2024
$17.3M
Using Networks to Seed Hierarchical Whole-cell Models of CancerU54CA209891 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI IDEKER, TREY · 2017 to 2021
$10.9M
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
(PQ3) Disruption of immune surveillance by aneuploidy and aberrant MHCII expressionR01CA220009 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CARTER, HANNAH KATHRYN, ZANETTI, MAURIZIO · 2017 to 2021
$1.5M
NCI NIH HHS R01 CA220009NCI NIH HHS U54 CA209891NIGMS NIH HHS P41 GM103504NIH HHS DP5 OD017937
6 · The paper itself

Abstract

Natural killer (NK) cells have increasingly become a target of interest for immunotherapies. NK cells express killer immunoglobulin-like receptors (KIRs), which play a vital role in immune response to tumors by detecting cellular abnormalities. The genomic region encoding the 16 KIR genes displays high polymorphic variability in human populations, making it difficult to resolve individual genotypes based on next generation sequencing data. As a result, the impact of polymorphic KIR variation on cancer phenotypes has been understudied. Currently, labor-intensive, experimental techniques are used to determine an individual's KIR gene copy number profile. Here, we develop an algorithm to determine the germline copy number of KIR genes from whole exome sequencing data and apply it to a cohort of nearly 5000 cancer patients. We use a k-mer based approach to capture sequences unique to specific genes, count their occurrences in the set of reads derived from an individual and compare the individual's k-mer distribution to that of the population. Copy number results demonstrate high concordance with population copy number expectations. Our method reveals that the burden of inhibitory KIR genes is associated with survival in two tumor types, highlighting the potential importance of KIR variation in understanding tumor development and response to immunotherapy.

Indexed as

Gene DosageAlgorithmsComputational BiologyDatabases, GeneticExome SequencingFemaleHistocompatibility Antigens Class IHumansKaplan-Meier EstimateKiller Cells, NaturalNeoplasmsReceptors, KIRUterine Cervical NeoplasmsUterine NeoplasmsHistocompatibility Antigens Class IReceptors, KIR

Identifiers

PMID30864318
PMCPMC6417817
OpenAlexW2903225911

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.