Evidence map›Paper›PMID 29941871›Full record

ArticleNature methods2018

DeTiN: overcoming tumor-in-normal contamination.

Amaro Taylor-Weiner, Chip Stewart, Thomas Giordano, Mendy Miller, Mara Rosenberg, Alyssa Macbeth, Niall Lennon, Esther Rheinbay, Dan-Avi Landau, Catherine J Wu and 1 more

Abstract read
In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

60 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Phase II Multicenter Study of Enzalutamide in Metastatic Castration-Resistant Prostate Cancer to Identify Mechanisms Driving Resistance.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors.

Amaro Taylor-WeinerBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Chip StewartBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Thomas GiordanoDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.
Mendy MillerBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Mara RosenbergBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Alyssa MacbethBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Niall LennonBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Esther RheinbayBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Dan-Avi LandauBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Catherine J WuBroad Institute of Harvard and MIT, Cambridge, MA, USA.
Gad GetzBroad Institute of Harvard and MIT, Cambridge, MA, USA. gadgetz@broadinstitute.org.ORCID http://orcid.org/0000-0002-0936-0753

Funding

ProteomicsP01CA206978 · NCI · DANA-FARBER CANCER INST · PI WU, CATHERINE JU-YING · 2016 to 2025
$17.0M
The Cancer Genome Atlas Data Analysis CenterU24CA143845 · NCI · BROAD INSTITUTE, INC. · PI CHIN, LYNDA, GETZ, GAD A · 2009 to 2016
$16.0M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
ITSC for Leukemia: Novel Molecular Strategies for NCTN: "Individualized" TherapieU10CA180861 · NCI · OHIO STATE UNIVERSITY · PI BLOOMFIELD, CLARA D, MARCUCCI, GUIDO · 2014 to 2018
$3.4M
(PQD1) lmpact of cytotoxic and targeted therapy on clonal evolution of CLLR01CA184922 · NCI · DANA-FARBER CANCER INST · PI WU, CATHERINE JU-YING · 2014 to 2017
$2.2M
Defining the impact of clonal evolution on chronic lymphocytic leukemiaR01CA182461 · NCI · DANA-FARBER CANCER INST · PI WU, CATHERINE JU-YING · 2014 to 2018
$1.8M
NCI NIH HHS P01 CA206978NCI NIH HHS R01 CA182461NCI NIH HHS R01 CA184922NCI NIH HHS U10 CA180861NCI NIH HHS U24 CA143845NHGRI NIH HHS T32 HG002295
6 · The paper itself

Abstract

Comparison of sequencing data from a tumor sample with data from a matched germline control is a key step for accurate detection of somatic mutations. Detection sensitivity for somatic variants is greatly reduced when the matched normal sample is contaminated with tumor cells. To overcome this limitation, we developed deTiN, a method that estimates the tumor-in-normal (TiN) contamination level and, in cases affected by contamination, improves sensitivity by reclassifying initially discarded variants as somatic.

Indexed as

Computer SimulationHigh-Throughput Nucleotide SequencingHumansMutationNeoplasmsSequence Analysis, DNA

Identifiers

PMID29941871
PMCPMC6528031

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.