Evidence map›Paper›PMID 36777188›Full record

ArticleCell genomics2023

Reconstructing mutational lineages in breast cancer by multi-patient-targeted single-cell DNA sequencing.

Jake Leighton, Min Hu, Emi Sei, Funda Meric-Bernstam, Nicholas E Navin

Open access · goldAbstract read
In one paragraph

Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  14. Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023
    Review
  15. Article
  16. Review
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

5 authors at 1 institution in 1 country.

Jake LeightonDepartment of Genetics, UT MD Anderson Cancer Center, Houston, TX 77030, USA.
Min HuDepartment of Genetics, UT MD Anderson Cancer Center, Houston, TX 77030, USA.
Emi SeiDepartment of Genetics, UT MD Anderson Cancer Center, Houston, TX 77030, USA.
Funda Meric-BernstamGraduate School of Biological Sciences, UT MD Anderson Cancer Center, Houston, TX 77030, USA.
Nicholas E NavinDepartment of Genetics, UT MD Anderson Cancer Center, Houston, TX 77030, USA.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
DELINEATING THE EVOLUTION AND ECOLOGY OF CHEMORESISTANCE IN BREAST CANCER WITH SINGLE CELL GENOMICSR01CA236864 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI NAVIN, NICHOLAS · 2020 to 2024
$2.3M
Translational Genomics and Precision Medicine in Cancer Training ProgramT32CA217789 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Subrata Sen · 2018 to 2026
$2.2M
INVESTIGATING TUMOR INITIATION AND INVASION IN PREMALIGNANT BREAST CANCER WITH SPATIAL SINGLE CELL GENOMICSR01CA240526 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI NAVIN, NICHOLAS · 2019 to 2023
$1.8M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA236864NCI NIH HHS R01 CA240526NCI NIH HHS T32 CA217789
6 · The paper itself

Abstract

Single-cell DNA sequencing (scDNA-seq) methods are powerful tools for profiling mutations in cancer cells; however, most genomic regions sequenced in single cells are non-informative. To overcome this issue, we developed a multi-patient-targeted (MPT) scDNA-seq method. MPT involves first performing bulk exome sequencing across a cohort of cancer patients to identify somatic mutations, which are then pooled together to develop a single custom targeted panel for high-throughput scDNA-seq using a microfluidics platform. We applied MPT to profile 330 mutations across 23,500 cells from 5 patients with triple negative-breast cancer (TNBC), which showed that 3 tumors were monoclonal and 2 tumors were polyclonal. From these data, we reconstructed mutational lineages and identified early mutational and copy-number events, including early

Indexed as

breast cancerintratumor heterogeneitymutational evolutionsingle-cell genomicstriple-negative breast cancer

Identifiers

PMID36777188
PMCPMC9903705
OpenAlexW4308658133

What OpenQuestion holds

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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.