Evidence map›Paper›PMID 35459280›Full record

ArticleScientific reports2022

Characterization of transcriptome diversity and in vitro behavior of primary human high-risk breast cells.

Sahar J Alothman, Keunsoo Kang, Xuefeng Liu, Ewa Krawczyk, Redha I Azhar, Rong Hu, David Goerlitz, Bhaskar V Kallakury, Priscilla A Furth

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Sahar J AlothmanDepartment of Oncology, Georgetown University, 3970 Reservoir Rd NW, Washington, DC, 20057, USA.
Keunsoo KangDepartment of Microbiology, College of Science and Technology, Dankook University, Cheonan, 31116, Republic of Korea.
Xuefeng LiuDepartment of Oncology, Georgetown University, 3970 Reservoir Rd NW, Washington, DC, 20057, USA.
Ewa KrawczykDepartment of Pathology, Georgetown University, Washington, DC, 20057, USA.
Redha I AzharDepartment of Oncology, Georgetown University, 3970 Reservoir Rd NW, Washington, DC, 20057, USA.
Rong HuDepartment of Oncology, Georgetown University, 3970 Reservoir Rd NW, Washington, DC, 20057, USA.
David GoerlitzDepartment of Oncology, Georgetown University, 3970 Reservoir Rd NW, Washington, DC, 20057, USA.
Bhaskar V KallakuryDepartment of Pathology, Georgetown University, Washington, DC, 20057, USA.
Priscilla A FurthDepartment of Oncology, Georgetown University, 3970 Reservoir Rd NW, Washington, DC, 20057, USA. paf3@georgetown.edu.
Georgetown University · USDankook University · KR

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI MARCUS S NOEL · 1990 to 2026
$71.5M
Progression and regression of mammary preneoplasiaR01CA112176 · NCI · GEORGETOWN UNIVERSITY · PI FURTH, PRISCILLA A. · 2005 to 2018
$3.1M
NCI NIH HHS P30 CA051008NCI NIH HHS R01 CA112176NIH HHS NCI, NIH P30CA051008NIH HHS NCI, NIH RO1CA112176
6 · The paper itself

Abstract

Biology and transcriptomes of non-cancerous human mammary epithelial cells at risk for breast cancer development were explored following primary isolation utilizing conditional reprogramming cell technology from mastectomy tissue ipsilateral to invasive breast cancer. Cultures demonstrated consistent categorizable behaviors. Relative viability and mammosphere formation differed between samples but were stable across three different mammary-specific media. E2F cell cycle target genes expression levels were positively correlated with viability and advancing age was inversely associated. Estrogen growth response was associated with Tissue necrosis factor signaling and Interferon alpha response gene enrichment. Neoadjuvant chemotherapy exposure significantly altered transcriptomes, shifting them towards expression of genes linked to mammary stem cell formation. Breast cancer prognostic signature sets include genes that in normal development are limited to specific stages of pregnancy or the menstrual cycle. Sample transcriptomes were queried for stage specific gene expression patterns. All cancer samples and a portion of high-risk samples showed overlapping stages reflective of abnormal gene expression patterns, while other high-risk samples exhibited more stage specific patterns. In conclusion, at-risk cells preserve behavioral and transcriptome diversity that could reflect different risk profiles. It is possible that prognostic platforms analogous to those used for breast cancer could be developed for high-risk mammary cells.

Indexed as

Breast NeoplasmsTranscriptomeBreastFemaleGene Expression ProfilingHumansMastectomyPregnancy

Identifiers

PMID35459280
PMCPMC9033878
OpenAlexW4224268240

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.