Evidence map›Paper›PMID 30246169›Full record

ArticleJCO precision oncology2018

Inference of Germline Mutational Status and Evaluation of Loss of Heterozygosity in High-Depth, Tumor-Only Sequencing Data.

Hossein Khiabanian, Kim M Hirshfield, Mendel Goldfinger, Simon Bird, Mark Stein, Joseph Aisner, Deborah Toppmeyer, Serena Wong, Nancy Chan, Kalyani Dhar and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in JCO precision oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

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  16. Germline Testing for Patients WithJNCI cancer spectrum · 2020
    Article
  17. Clonal Evolution ofCells · 2019
    Article
  18. Article
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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

19 authors at 1 institution in 1 country.

Hossein Khiabanian *Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Kim M Hirshfield *Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Mendel GoldfingerRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Simon BirdCenter for Systems and Computational Biology, Rutgers Cancer Institute, Rutgers University, New Brunswick, NJ, USA.
Mark SteinRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Joseph AisnerRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Deborah ToppmeyerRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Serena WongRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Nancy ChanRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Kalyani DharRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Jinesh GheeyaRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Hetal VigRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Mohammad HadigolRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Dean PavlickFoundation Medicine, Inc., Cambridge, MA, USA.
Sepand AnsariCenter for Systems and Computational Biology, Rutgers Cancer Institute, Rutgers University, New Brunswick, NJ, USA.
Siraj AliFoundation Medicine, Inc., Cambridge, MA, USA.
Bing XiaRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Lorna Rodriguez-RodriguezRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Shridar GanesanRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Universidad Nacional Experimental Simón Rodríguez · VE

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
53BP1-Mediated Regulation of DNA Repair and ChemoresistanceR01CA169182 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI GANESAN, SHRIDAR · 2012 to 2016
$1.6M
NCI NIH HHS P30 CA072720NCI NIH HHS R01 CA169182
6 · The paper itself

Abstract

purposeInherited germline defects are implicated in up to 10% of human tumors, with particularly well-known roles in breast and ovarian cancers that harbor

methodsLOHGIC (LOH-Germline Inference Calculator) is a statistical model selection method to determine somatic-versus-germline status and predict LOH for mutations identified via clinical grade, high-depth, hybrid-capture tumor-only sequencing. LOHGIC incorporates statistical uncertainties inherent to HTS as well as specimen biases in tumor purity estimates, which we use to assess

resultsEvaluation of LOHGIC with available germline sequencing from

conclusionLOHGIC can assess LOH status for both germline and somatic mutations. It also can be applied to any gene with candidate, inherited mutations. This approach demonstrates the clinical utility of targeted sequencing in both identifying patients with potential germline alterations in tumor suppressor genes as well as estimating LOH occurrence in cancer cells, which may confer therapeutic relevance.

Identifiers

PMID30246169
PMCPMC6148761
OpenAlexW2784223029

What OpenQuestion holds

Textmetadata
LicenceTDM
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.