Evidence map›Paper›PMID 33552289›Full record

ArticleOncology letters2021

Screening and validation of plasma long non-coding RNAs as biomarkers for the early diagnosis and staging of oral squamous cell carcinoma.

Hongcheng Jia, Xuan Wang, Zheng Sun

Open access · diamondAbstract read
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Article in Oncology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 45% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

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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.

Hongcheng JiaDepartment of Stomatology, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, P.R. China.
Xuan WangDepartment of Stomatology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, P.R. China.
Zheng SunDepartment of Oral Medicine, Beijing Stomatological Hospital, Capital Medical University, Beijing 100050, P.R. China.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral squamous cell carcinoma (OSCC), characterized by a high recurrence rate, a poor prognosis and high morbidity, is the most prevalent malignancy of the oral cavity. The aberrant expression of long non-coding RNAs (lncRNAs) may lead to the development of various diseases, including cancer. Delayed diagnosis is the main reason for the poor prognosis. Therefore, the present study aimed to investigate the differential expression profiles of plasma lncRNAs in OSCC in order to screen target lncRNAs as biomarkers for the early diagnosis and staging of OSCC. The expression profiles of lncRNAs and mRNAs in OSCC were analyzed by microarray analysis. A total of 14 candidate lncRNAs were selected and analyzed using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) using the array homologous samples. Subsequently, 4 target lncRNAs were measured by RT-qPCR in a large cohort, including 28 cases with TNM I/II [early-stage squamous cell carcinoma (ESCC) group], 36 cases with TNM III/IV [advanced-stage squamous cell carcinoma (ASCC) group], 16 cases with dysplasia [oral premalignant lesion (OPL) group] and 16 healthy controls (H group). Receiver operating characteristic (ROC) curves and logistic regression analysis were used to evaluate the diagnostic effects of the combined lncRNAs. In total, 6,606 differentially expressed lncRNAs and 4,196 mRNAs were identified in OSCC. The expression trend of the 14 candidate lncRNAs was consistent with the microarray data. The expression level of

Indexed as

biomarkerlong non-coding RNAmicroarrayoral premalignant lesionsoral squamous cell carcinoma

Identifiers

PMID33552289
PMCPMC7798048
OpenAlexW3119866634

What OpenQuestion holds

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Registered trials

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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.