Evidence map›Paper›PMID 33599863›Full record

ArticleBreast cancer research and treatment2021

Differential gene expression analysis of palbociclib-resistant TNBC via RNA-seq.

Lilibeth Lanceta, Nadiia Lypova, Conor O'Neill, Xiaohong Li, Eric Rouchka, Jason Chesney, Yoannis Imbert-Fernandez

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 15 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

7 authors at 2 institutions in 1 country.

Lilibeth LancetaDepartment of Medicine, School of Medicine, University of Louisville, Louisville, KY, 40202, USA.
Nadiia LypovaDepartment of Medicine, School of Medicine, University of Louisville, Louisville, KY, 40202, USA.
Conor O'NeillCollege of Medicine, University of Kentucky, Lexington, KY, 40506, USA.
Xiaohong LiDepartment of Anatomical Sciences and Neurobiology, Bioinformatics Core, University of Louisville, Louisville, KY, 40202, USA.
Eric RouchkaDepartment of Computer Engineering and Computer Science, University of Louisville, Louisville, KY, 40292, USA.
Jason ChesneyDepartment of Medicine, School of Medicine, University of Louisville, Louisville, KY, 40202, USA.
Yoannis Imbert-FernandezDepartment of Medicine, School of Medicine, University of Louisville, Louisville, KY, 40202, USA. yoannis.imbertfernandez@louisville.edu.ORCID http://orcid.org/0000-0003-1474-3027
University of Louisville · USUniversity of Kentucky · US

Funding

WKU Lead Faculty AwardP20GM103436 · NIGMS · UNIVERSITY OF LOUISVILLE · PI ERIC C ROUCHKA · 2012 to 2026
$60.1M
PILOT PROJECT PROGRAMP30GM106396 · NIGMS · UNIVERSITY OF LOUISVILLE · PI MILLER, DONALD M. · 2013 to 2017
$5.4M
NIGMS NIH HHS P20 GM103436NIGMS NIH HHS P30 GM106396NIH HHS P20GM103436NIH HHS P20GM106396
6 · The paper itself

Abstract

purposeThe management of triple-negative breast cancer (TNBC) remains a significant clinical challenge due to the lack of effective targeted therapies. Inhibitors of the cyclin-dependent kinases 4 and 6 (CDK4/6) are emerging as promising therapeutic agents against TNBC; however, cells can rapidly acquire resistance through multiple mechanisms that are yet to be identified. Therefore, determining the mechanisms underlying resistance to CDK4/6 inhibition is crucial to develop combination therapies that can extend the efficacy of the CDK4/6 inhibitors or delay resistance. This study aims to identify differentially expressed genes (DEG) associated with acquired resistance to palbociclib in ER- breast cancer cells.

methodsWe performed next-generation transcriptomic sequencing (RNA-seq) and pathway analysis in ER- MDA-MB-231 palbociclib-sensitive (231/pS) and palbociclib-resistant (231/pR) cells.

resultsWe identified 2247 up-regulated and 1427 down-regulated transcripts in 231/pR compared to 231/pS cells. DEGs were subjected to functional analysis using Gene Ontology (GO) and the KEGG database which identified many transduction pathways associated with breast cancer, including the PI3K/AKT, PTEN and mTOR pathways. Additionally, Ingenuity Pathway Analysis (IPA) revealed that resistance to palbociclib is closely associated with altered cholesterol and fatty acid biosynthesis suggesting that resistance to palbociclib may be dependent on lipid metabolic reprograming.

conclusionThis study provides evidence that lipid metabolism is altered in TNBC with acquired resistance to palbociclib. Further studies are needed to determine if the observed lipid metabolic rewiring can be exploited to overcome therapy resistance in TNBC.

Indexed as

Breast NeoplasmsTriple Negative Breast NeoplasmsCell Line, TumorFemaleGene ExpressionHumansPhosphatidylinositol 3-KinasesPiperazinesPyridinesRNA-SeqpalbociclibPhosphatidylinositol 3-KinasesPiperazinesPyridinesCDK4/6 inhibitorsMetabolism reprogrammingPalbociclibTherapy resistanceTNBC

Identifiers

PMID33599863
PMCPMC8019424
OpenAlexW3129934890

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.