Evidence map›Paper›PMID 35109903›Full record

ReviewGenome biology2022

Evaluating statistical approaches to define clonal origin of tumours using bulk DNA sequencing: context is everything.

Tanjina Kader, Magnus Zethoven, Kylie L Gorringe

Abstract readReview
In one paragraph

Review in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Identifying Locally Recurrent Versus Second Primary Breast Cancer: Genomic Versus Clinical Criteria from Carolina Breast Cancer Study Phase III.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Trial
  2. Article
  3. Article
  4. Case Report: Synchronous germlineFrontiers in oncology · 2026
    Article
  5. Article
  6. Article
  7. Analysis of Shared Variants between Cancer Biospecimens.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  8. Article
  9. The Cancer Genome in the Long Reads Era.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  10. Review
  11. 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

3 authors.

Tanjina Kader, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, 3000, Australia.
Magnus Zethoven, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, 3000, Australia.
Kylie L Gorringe, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, 3000, Australia. kylie.gorringe@petermac.org.ORCID 0000-0001-5681-2022

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clonal analysis of tumour sequencing data enables the evaluation of the relationship of histologically distinct synchronous lesions, such as co-existing benign areas, and temporally distinct tumours, such as primary-recurrence comparisons. In this review, we summarise statistical approaches that are commonly employed to define tumour clonal relatedness using data from bulk DNA technologies. We discuss approaches using total copy number, allele-specific copy number and mutation data, and the relative genomic resolution required for analysis and summarise some of the current tools for inferring clonal relationships. We argue that the impact of the biological context is critical in selecting any particular approach, such as the relative genomic complexity of the lesions being compared, and we recommend considering this context before employing any method to a new dataset.

Indexed as

NeoplasmsAllelesDNA Copy Number VariationsGenomicsHumansMutationSequence Analysis, DNA

Identifiers

PMID35109903
PMCPMC8809045

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.