Evidence map›Paper›PMID 39205592›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2024

LncRNA TMPO-AS1 Promotes Triple-Negative Breast Cancer by Sponging miR-383-5p to Trigger the LDHA Axis.

Prerna Vats, Jai Singh, Sandeep K Srivastava, Ashok Kumar, Rajeev Nema

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Bioinformatics insights intoFrontiers in cell and developmental biology · 2025
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Prerna VatsDepartment of Bioscience, Manipal University Jaipur, University Jaipur, Dehmi Kalan, Jaipur-Ajmer Expressway, Jaipur, Rajasthan, 303007, India.
Jai SinghDepartment of Bioscience, Manipal University Jaipur, University Jaipur, Dehmi Kalan, Jaipur-Ajmer Expressway, Jaipur, Rajasthan, 303007, India.
Sandeep K SrivastavaDepartment of Bioscience, Manipal University Jaipur, University Jaipur, Dehmi Kalan, Jaipur-Ajmer Expressway, Jaipur, Rajasthan, 303007, India.
Ashok KumarDepartment of Biochemistry, All India Institute of Medical Sciences (AIIMS), Bhopal, Saket Nagar, Bhopal 462 020, Madhya Pradesh, India.ORCID 0000-0001-7208-2947
Rajeev NemaDepartment of Bioscience, Manipal University Jaipur, University Jaipur, Dehmi Kalan, Jaipur-Ajmer Expressway, Jaipur, Rajasthan, 303007, India.ORCID 0000-0003-1572-0409

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the heterogeneous nature of breast cancer, including the role of LDHA expression regulation via non-coding RNAs in prognosis, is still unknown, highlighting the need for more research into its molecular roles and diagnostic approaches.

methodsThe study utilized various computer tools to analyze the differences between LDHA in tissues and cancer cells. It used data from TIMER 2.0, UALCAN, and TISIDB to study gene expression and survival outcomes in breast cancer patients. The study also used the Breast Cancer Gene Expression Miner to examine the relationship between LDHA gene expression and breast cancer type. Other tools included TCGAPortal, TNMplot, ctcRbase, GSCA, Enrichr, TISIDB, Oncomx, and TANRIC. The study then explored the relationship between tumor-infiltrating immune cells and LDHA formation using the GSCA and TISIDB repositories. We used Auto Dock Tools 1.5.6 to perform ligand binding analysis for LDHA, withanolides, and the known inhibitor LDH-IN-1. LigPlot+ and Pymol were used for visualization of protein-ligand complexes.

resultsLDHA overexpression in breast cancer cells, metastatic tissue, and circulating tumor cells leads to shortened recurrence-free survival, overall survival, and distant metastasis-free survival. In invasive breast cell carcinoma, we observed that LDHA/HIF-1α /TMPO-AS1 are overexpressed while miR-383-5p is downregulated. This overexpression is associated with poor prognosis and may lead to Act_DC infiltration into the tumor microenvironment. Withanolides, viz., Withaferine A and Withanolide D, have shown high binding affinity with LDHA, with binding energies of -9.3kcal/mol and -10kcal/mol respectively. These could be attractive choices for small-molecule inhibitor design against LDHA.

Indexed as

MicroRNAsRNA, Long NoncodingTriple Negative Breast NeoplasmsBiomarkers, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansL-Lactate DehydrogenasePrognosisSurvival RateBiomarkers, TumorLDHA protein, humanL-Lactate DehydrogenaseMicroRNAsRNA, Long NoncodingBRCALDHAlncRNAmiRNA

Identifiers

PMID39205592
PMCPMC11495453

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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.