Evidence map›Paper›PMID 37878205›Full record

ReviewMolecular biology reports2023

Defining new biomarkers for overcoming therapeutical resistance in cervical cancer using lncRNA.

Raghu Aswathy, Sundaravadivelu Sumathi

Open access · hybridAbstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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

2 authors at 1 institution in 1 country.

Raghu AswathyDepartment of Biochemistry, Biotechnology and Bioinformatics, Avinashilingam Institute for Home Science and Higher Education for Women, Bharathi Park Rd, near Forest College Campus, Saibaba Colony, Coimbatore, Tamil Nadu, 641043, India.
Sundaravadivelu SumathiDepartment of Biochemistry, Biotechnology and Bioinformatics, Avinashilingam University for Home Science and Higher Education for Women, Bharathi Park Rd, near Forest College Campus, Saibaba Colony, Coimbatore, Tamil Nadu, 641043, India. sumathi_bc@avinuty.ac.in.ORCID http://orcid.org/0000-0002-0041-1913
Avinashilingam University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite improvements in cervical cancer diagnosis and treatment, the prognosis for cervical cancer patients remains dismal due to the development of drug resistance, metastasis, and invasion resulting leading to treatment failure. Long non-coding RNAs (lncRNAs), a class of RNA transcripts have been reported in mediating carcinogenesis as well as drug, and radio-resistance in tumor cells. These lncRNAs regulate various cancer hallmarks and contribute to the development of therapeutic resistance. They regulates multiple signalling pathways, recruits polycomb group, function as miRNA sponge and scaffolds. Additionally, lncRNAs can act as oncogenes or tumor suppressors in cervical cancer. This comprehensive review outlines the biogenesis of lncRNA and its role in cancer development. It delves into the mechanisms through which various lncRNAs mediate chemoresistance and radioresistance in cervical cancer. By shedding into the light of mechanism, this review will also aids researchers in understanding lncRNAs as biomarkers and latest advancements in clinically targeting them with the help of Artificial Intelligence for overcoming chemoresistance and radioresistance, thereby improving cervical cancer treatment.

Indexed as

RNA, Long NoncodingUterine Cervical NeoplasmsArtificial IntelligenceBiomarkersBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansBiomarkersBiomarkers, TumorRNA, Long NoncodingCervical cancerChemoresistancelncRNAmiRNARadioresistance

Identifiers

PMID37878205
OpenAlexW4387931127

What Socratic 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 Socratic graph.