Evidence map›Paper›PMID 37746533›Full record

ArticleIndian journal of clinical biochemistry : IJCB2023

Expression of miR-145 and miR-18b in Peripheral Blood Samples of Head and Neck Cancer Patients.

Arun Kumar Yadav, Nishant Singh, Sanjeev Kumar Yadav, M L B Bhatt, Amit Pandey, Dev Kumar Yadav, Sanjay Yadav

Abstract read
In one paragraph

Article in Indian journal of clinical biochemistry : IJCB, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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.

Arun Kumar YadavDepartment of Radiotherapy, Sarojini Naidu Medical College, Moti Katra, Agra, Uttar Pradesh 282002 India.
Nishant SinghSanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh India.
Sanjeev Kumar YadavDevelopmental Toxicology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR - Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31 Mahatma Gandhi Marg, Lucknow, Uttar Pradesh 226001 India.
M L B BhattKing Georges' Medical University, Lucknow, Uttar Pradesh India.
Amit PandeyApollo Medics, Lucknow, Uttar Pradesh India.
Dev Kumar YadavMoti Lal Nehru Medical College, Prayagraj, Uttar Pradesh India.
Sanjay YadavAll India Institute of Medical Sciences (AIIMS), Raebareli, Uttar Pradesh 229405 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Head and neck squamous cell carcinomas (HNSCC) is one of the most prevalent type of cancer known in Indian population. Studies are needed to identify the early biomarkers for HNSCC. MicroRNAs (miRNAs) are non-coding RNA molecules, expression of which can be used as biomarker for early diagnosis of HNSCC. For miRNA profiling total RNA, which also contained small RNAs were isolated from ten HNSCC tissue samples and adjacent control. Purity and concentration of eluted RNA was assessed using the NanoDrop1000® spectrophotometer, Reverse Transcription reaction was carried out with megaplex RT primers of pool A and pool B and the expression of selected miRNAs (miR-143/145 and miR-18a/b) was measured using TaqMan primers specific for mature miRNAs. Our study showed dramatic downregulation in expression of two miRNAs, miR-18b and miR-145 in blood samples of HNSCC patients, which are inhibitor of tumorigenesis and can be targeted as biomarker of HNSCC pathogenesis therefore developing avenues for miRNA role in prognosis and therapeutics. Supplementary Information: The online version contains supplementary material available at 10.1007/s12291-023-01119-2.

Indexed as

BiomarkersCancermiRNAsMolecular biologyTumorigenesis

Identifiers

PMID37746533
PMCPMC10516845

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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.