Evidence map›Paper›PMID 34672959›Full record

ArticleCell systems2021

DeCiFering the subclonal composition of tumors.

Haixi Yan, Maxime Tarabichi, Nicholas McGranahan, Peter Van Loo

Abstract readComment
PubMed Publisher
In one paragraph

Article in Cell systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Haixi YanThe Francis Crick Institute, London, UK.
Maxime TarabichiThe Francis Crick Institute, London, UK; Institute for Interdisciplinary Research, Université Libre de Bruxelles, Brussels, Belgium.
Nicholas McGranahanUniversity College London Cancer Institute, London, UK.
Peter Van LooThe Francis Crick Institute, London, UK. Electronic address: peter.vanloo@crick.ac.uk.

Funding

Cancer Research UK FC001202Medical Research Council FC001202Wellcome Trust 211179/Z/18/ZWellcome Trust FC001202
6 · The paper itself

Abstract

Accurately identifying the subclones that make up tumors is critical for understanding cancer biology. In an article in this issue of Cell Systems, Satas et al. examine mutations with an evolutionary perspective to decipher the composition of tumors.

Indexed as

NeoplasmsHumansMutation

Identifiers

PMID34672959

What OpenQuestion holds

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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.