Expression pattern of lncRNA H19 in oral squamous cell carcinoma tissues in comparison to normal tissues. A systematic review
Bibliographic record
Abstract
With a high mortality rate, oral squamous cell carcinoma (OSCC), accounts for more than 90 % of all mouth cancers and is a major global health concern. The necessity for trustworthy biomarkers is highlighted by the fact that early diagnosis and prognosis are still difficult despite advancements. A key factor in cancer biology, the long non-coding RNA H19 was first discovered for its function in embryogenesis. H19, reactivated in cancers, interacts with microRNAs and signaling pathways such as p53 and PI3K/AKT to affect tumor growth, invasion, and metastasis. Nevertheless, its expression patterns in OSCC in contrast to healthy tissues remain unclear. The evidence currently available about H19's expression in OSCC is assessed in this review. The keywords H19 or lncRNA H19 or long non-coding RNA H19″ AND “oral cancer or oral squamous cell carcinoma or tongue squamous cell carcinoma or OSCC” were used to search databases such as PubMed, Scopus, and Clinical Key on 9th December 2024. In addition, the authors manually scanned the reference lists of the included studies or relevant reviews identified through the search to ensure literature saturation. Following the exclusion of duplicates and irrelevant articles, full-text screening of the remaining articles was done to select the articles based on inclusion and exclusion criteria. The Risk of Bias in the included studies was evaluated using the Newcastle Ottawa scale (NOS). Of 95 articles obtained (55 from PubMed, 19 from Scopus, 20 from Clinical Key, and 1 from cross-reference), 56 duplicates or irrelevant articles were eliminated. Of the 39 articles, only eight were selected after the full-text screening of nine articles based on eligibility criteria. All the articles reported a low risk of bias and all the studies reported a change in the expression pattern of H19 in oral squamous cell carcinoma compared to the control. Despite some variability in the direction of changes in H19 expression, most studies have shown its dysregulation in OSCC tissues, highlighting its significance in the pathogenesis of OSCC. • LncRNA H19, which is essential for OSCC progression, was shown to be overexpressed in the majority of studies. • Three studies revealed tissue-specific downregulation of H19, whereas five studies demonstrated overexpression of the protein. • H19 influences OSCC via EZH2, β-Catenin/GSK3β/EMT pathways, with hypomethylation regulation. • Clinical validation is required for the findings, which support H19 as a biomarker and therapy target.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.012 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".