Evidence map›Paper›PMID 32344635›Full record

ArticleGenes2020

Transcriptomic Profiling Identifies Differentially Expressed Genes in Palbociclib-Resistant ER+ MCF7 Breast Cancer Cells.

Lilibeth Lanceta, Conor O'Neill, Nadiia Lypova, Xiahong Li, Eric Rouchka, Sabine Waigel, Jorge G Gomez-Gutierrez, Jason Chesney, Yoannis Imbert-Fernandez

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-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

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Resistance to CDK4/6 Inhibitors in Estrogen Receptor-Positive Breast Cancer.International journal of molecular sciences · 2021
    Review
  18. Article
  19. Article
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 1 country.

Lilibeth LancetaDepartment of Medicine, School of Medicine, University of Louisville, Louisville, KY 40202, USA.
Conor O'NeillCollege of Medicine, University of Kentucky, Lexington, KY 40506, USA.
Nadiia LypovaDepartment of Medicine, School of Medicine, University of Louisville, Louisville, KY 40202, USA.ORCID 0000-0003-1506-8545
Xiahong 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.
Sabine WaigelDepartment of Medicine, School of Medicine, University of Louisville, Louisville, KY 40202, USA.
Jorge G Gomez-GutierrezDepartment of Surgery, School of Medicine, University of Louisville, Louisville, KY 40202, USA.ORCID 0000-0003-3610-260X
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.
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 GM106396
6 · The paper itself

Abstract

Acquired resistance to cyclin-dependent kinases 4 and 6 (CDK4/6) inhibition in estrogen receptor-positive (ER+) breast cancer remains a significant clinical challenge. Efforts to uncover the mechanisms underlying resistance are needed to establish clinically actionable targets effective against resistant tumors. In this study, we sought to identify differentially expressed genes (DEGs) associated with acquired resistance to palbociclib in ER+ breast cancer. We performed next-generation transcriptomic RNA sequencing (RNA-seq) and pathway analysis in ER+ MCF7 palbociclib-sensitive (MCF7/pS) and MCF7 palbociclib-resistant (MCF7/pR) cells. We identified 2183 up-regulated and 1548 down-regulated transcripts in MCF7/pR compared to MCF7/pS cells. Functional analysis of the DEGs using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) database identified several pathways associated with breast cancer, including 'cell cycle', 'DNA replication', 'DNA repair' and 'autophagy'. Additionally, Ingenuity Pathway Analysis (IPA) revealed that resistance to palbociclib is closely associated with deregulation of several key canonical and metabolic pathways. Further studies are needed to determine the utility of these DEGs and pathways as therapeutics targets against ER+ palbociclib-resistant breast cancer.

Indexed as

Antineoplastic AgentsBiomarkers, TumorBreast NeoplasmsComputational BiologyDrug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticHumansPiperazinesPyridinesReceptors, EstrogenTranscriptomeTumor Cells, CulturedAntineoplastic AgentsBiomarkers, TumorpalbociclibPiperazinesPyridinesReceptors, Estrogenbreast cancerCDK4/6CDK4/6 inhibitorsDNA repairestrogen receptormetabolic rewiringpalbociclibtherapy resistance

Identifiers

PMID32344635
PMCPMC7230561
OpenAlexW3019748214

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.