Evidence map›Paper›PMID 23892400›Full record

ArticleNucleic acids research2013

TrAp: a tree approach for fingerprinting subclonal tumor composition.

Francesco Strino, Fabio Parisi, Mariann Micsinai, Yuval Kluger

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

69 citing papers in PubMed, 140 citations in OpenAlex.

  1. Review
  2. Article
  3. Resolving tumor evolution: a phylogenetic approach.Journal of the National Cancer Center · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Reconstructing Clonal Evolution-A Systematic Evaluation of Current Bioinformatics Approaches.International journal of environmental research and public health · 2023
    Article
  9. Article
  10. Accurate Identification of Subclones in Tumor Genomes.Molecular biology and evolution · 2022
    Article
  11. Article
  12. Parsimonious Clone Tree Integration in cancer.Algorithms for molecular biology : AMB · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

9 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

4 authors at 3 institutions in 1 country.

Francesco StrinoDepartment of Pathology, Yale University School of Medicine, New Haven, CT 06520, USA, NYU Center for Health Informatics and Bioinformatics, New York University Langone Medical Center, 227 East 30th Street, New York, NY 10016, USA and Yale Cancer Center, New Haven, CT 06520, USA.
Fabio Parisi
Mariann Micsinai
Yuval Kluger
Yale University · USNYU Langone Health · USYale Cancer Center · US

Funding

Models to Predict Prognosis and Benefit from Adjuvant Therapy in Renal Cell CarciR01CA158167 · NCI · YALE UNIVERSITY · PI KLUGER, HARRIET M. · 2011 to 2015
$1.8M
NCI NIH HHS R01 CA158167NCI NIH HHS R0-1CA158167
6 · The paper itself

Abstract

Revealing the clonal composition of a single tumor is essential for identifying cell subpopulations with metastatic potential in primary tumors or with resistance to therapies in metastatic tumors. Sequencing technologies provide only an overview of the aggregate of numerous cells. Computational approaches to de-mix a collective signal composed of the aberrations of a mixed cell population of a tumor sample into its individual components are not available. We propose an evolutionary framework for deconvolving data from a single genome-wide experiment to infer the composition, abundance and evolutionary paths of the underlying cell subpopulations of a tumor. We have developed an algorithm (TrAp) for solving this mixture problem. In silico analyses show that TrAp correctly deconvolves mixed subpopulations when the number of subpopulations and the measurement errors are moderate. We demonstrate the applicability of the method using tumor karyotypes and somatic hypermutation data sets. We applied TrAp to Exome-Seq experiment of a renal cell carcinoma tumor sample and compared the mutational profile of the inferred subpopulations to the mutational profiles of single cells of the same tumor. Finally, we deconvolve sequencing data from eight acute myeloid leukemia patients and three distinct metastases of one melanoma patient to exhibit the evolutionary relationships of their subpopulations.

Indexed as

AlgorithmsClonal EvolutionAllelesBiopsyCarcinoma, Renal CellChromosome AberrationsHumansKaryotypingKidney NeoplasmsLeukemia, Myeloid, AcuteMelanomaMutationNeoplasm MetastasisNeoplasms

Identifiers

PMID23892400
PMCPMC3783191
OpenAlexW1986888627

What OpenQuestion holds

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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.