Evidence map›Paper›PMID 39346291›Full record

ArticleJournal of pharmacy & bioallied sciences2024

Investigation of Genetic Markers for Predicting Oral Cancer Progression and Patient Outcomes.

Amit Wasti, Liza Mohanty, Ruchira Shukla, Bharti Gupta, Inderjit Murugendrappa Gowdar, Tarang Mehta, Ramanpal Singh Makkad

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Amit WastiDepartment of Oral Pathology and Microbiology, Government Dental College, Raipur, Chhattisgarh, India.
Liza MohantyDepartment of Dentistry, Government Medical College and Hospital, Sundargarh, Odisha, India.
Ruchira ShuklaDepartment of Oral and Maxillofacial Surgery, Ambikapur, Chhattisgarh, India.
Bharti GuptaDepartment of Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, Jazan University, Jazan, Saudi Arabia.
Inderjit Murugendrappa GowdarDepartment of Preventive Dental Sciences, College of Dentistry, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia.
Tarang MehtaDepartment of Oral and Maxillofacial Pathology and Oral Microbiology, Narsinhbhai Patel Dental College and Hospital, Sankalchand Patel University, Gujarat, India.
Ramanpal Singh MakkadDepartment of Oral Medicine and Radiology, New Horizon Dental College and Research Institute, Sakri, Bilaspur, Chhattisgarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Genomic methylation being used as a sensitive indicator for identifying oral potentially malignant disorders (OPMDS) and oral cancer could be a viable option. DNA methylation is a potential approach for "cancer therapeutics" and can help researchers truly understand the genomic mechanism that leads to cancer. Aim: Investigation of genetic markers for predicting oral cancer progression and patient outcomes. Methods and Materials: One hundred and twelve patients having oral premalignant lesions and malignant lesions were included in this study. Saliva samples were obtained for analysis of the expression of genetic markers, such as p16, DAP-K, and MGMT. The Illumina Infinium HumanMethylation450 BeadChip (Illumina Inc., USA) would be used to assess genome-wide DNA methylation according to the manufacturer's instructions. Results: Methylation of all the genes, that is, p16, DAP-K, and MGMT, was observed in 12.7% of oral cancer lesions. 41.94% of oral cancer lesions were found to have methylation of two genes. 13.23% cases were found to be associated with methylation of p16 and DAP-K, 12.12% cases were found to have methylation in the p16 and MGMT, and 15.27% cases of oral cancer lesions showed methylation of DAP-K and MGMT. Conclusion: Genetic markers, such as p53, DAP-K, and MGMT, can be used for predicting oral cancer progression and patient outcomes.

Indexed as

Genetic markersoral canceroral potentially malignant disorders

Identifiers

PMID39346291
PMCPMC11426564

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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.