Evidence map›Paper›PMID 38746396›Full record

ArticlebioRxiv : the preprint server for biology2024

Luminal breast epithelial cells from wildtype and

Marc J Williams, Michael Uj Oliphant, Vinci Au, Cathy Liu, Caroline Baril, Ciara O'Flanagan, Daniel Lai, Sean Beatty, Michael Van Vliet, Jacky Ch Yiu and 14 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

24 authors.

Marc J Williams
Michael Uj Oliphant
Vinci Au
Cathy Liu
Caroline Baril
Ciara O'Flanagan
Daniel Lai
Sean Beatty
Michael Van Vliet
Jacky Ch Yiu
Lauren O'Connor
Walter L Goh
Alicia Pollaci
Adam C Weiner
Diljot Grewal
Andrew McPherson
McKenna Moore
Vikas Prabhakar
Shailesh Agarwal
Judy E Garber
Deborah Dillon
Sohrab P Shah
Joan Brugge
Samuel Aparicio

Funding

Tracking the evolution of breast cancer through single cell analyses of premalignant breast tissues from women at high risk for cancer developmentR35CA242428 · NCI · HARVARD MEDICAL SCHOOL · PI BRUGGE, JOAN SIEFERT · 2019 to 2025
$7.1M
Single cell quantification of genomic instability in cancer as a determinant of therapeutic responseK99CA256508 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI WILLIAMS, MARC · 2021 to 2022
$200k
NCI NIH HHS K99 CA256508NCI NIH HHS R35 CA242428
6 · The paper itself

Abstract

Cancer-associated mutations have been documented in normal tissues, but the prevalence and nature of somatic copy number alterations and their role in tumor initiation and evolution is not well understood. Here, using single cell DNA sequencing, we describe the landscape of CNAs in >42,000 breast epithelial cells from women with normal or high risk of developing breast cancer. Accumulation of individual cells with one or two of a specific subset of CNAs (e.g. 1q gain and 16q, 22q, 7q, and 10q loss) is detectable in almost all breast tissues and, in those from

Identifiers

PMID38746396
PMCPMC11092623

What OpenQuestion holds

Textmetadata
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.