Evidence map›Paper›PMID 37508579›Full record

ReviewCells2023

RNA-Based Liquid Biopsy in Head and Neck Cancer.

Jacek Kabzinski, Aleksandra Kucharska-Lusina, Ireneusz Majsterek

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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  5. The role of exosomal long non-coding RNAs in head, neck and thyroid cancers.Medical oncology (Northwood, London, England) · 2025
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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

3 authors at 1 institution in 1 country.

Jacek KabzinskiDepartment of Clinical Chemistry and Biochemistry, Medical University of Lodz, MolecoLAB A6, Mazowiecka 5, 92-215 Lodz, Poland.ORCID 0000-0002-8358-3947
Aleksandra Kucharska-LusinaDepartment of Clinical Chemistry and Biochemistry, Medical University of Lodz, MolecoLAB A6, Mazowiecka 5, 92-215 Lodz, Poland.
Ireneusz MajsterekDepartment of Clinical Chemistry and Biochemistry, Medical University of Lodz, MolecoLAB A6, Mazowiecka 5, 92-215 Lodz, Poland.
Medical University of Lodz · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Head and neck cancer (HNC) is a prevalent and diverse group of malignancies with substantial morbidity and mortality rates. Early detection and monitoring of HNC are crucial for improving patient outcomes. Liquid biopsy, a non-invasive diagnostic approach, has emerged as a promising tool for cancer detection and monitoring. In this article, we review the application of RNA-based liquid biopsy in HNC. Various types of RNA, including messenger RNA (mRNA), microRNA (miRNA), long non-coding RNA (lncRNA), small nuclear RNA (snRNA), small nucleolar RNA (snoRNA), circular RNA (circRNA) and PIWI-interacting RNA (piRNA), are explored as potential biomarkers in HNC liquid-based diagnostics. The roles of RNAs in HNC diagnosis, metastasis, tumor resistance to radio and chemotherapy, and overall prognosis are discussed. RNA-based liquid biopsy holds great promise for the early detection, prognosis, and personalized treatment of HNC. Further research and validation are necessary to translate these findings into clinical practice and improve patient outcomes.

Indexed as

Head and Neck NeoplasmsMicroRNAsRNA, Long NoncodingBiomarkersHumansLiquid BiopsyRNA, MessengerRNA, Small NucleolarBiomarkersMicroRNAsRNA, Long NoncodingRNA, MessengerRNA, Small NucleolarcancercircRNAHNCliquid biopsylncRNAmiRNAmRNApiRNAsnoRNAsnRNA

Identifiers

PMID37508579
PMCPMC10377854
OpenAlexW4385161729

What Socratic 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 Socratic graph.