Evidence map›Paper›PMID 39635441›Full record

ArticleFrontiers in pharmacology2024

Exploring somatic mutations in

Thamer Abdulhamid Aljuhani, Noor Ahmad Shaik, Rahaf Talal Alqawas, Rana Y Bokhary, Mahmood Al-Mutadares, Hadiah Bassam Al Mahdi, Nuha Al-Rayes, Ashraf AbdulRahman El-Harouni, Ramu Elango, Babajan Banaganapalli and 1 more

Abstract read
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In one paragraph

Article in Frontiers in pharmacology, 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

11 authors.

Thamer Abdulhamid Aljuhani *Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Noor Ahmad Shaik *Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Rahaf Talal Alqawas *Molecular Diagnostic Laboratory at King Abdulaziz University Hospital, Jeddah, Saudi Arabia.
Rana Y BokharyDepartment of Pathology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Mahmood Al-MutadaresDepartment of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Hadiah Bassam Al MahdiResearch and Development Unit, Alborg Diagnostics, Jeddah, Saudi Arabia.
Nuha Al-RayesDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Ashraf AbdulRahman El-HarouniDepartment of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Ramu ElangoDepartment of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Babajan BanaganapalliDepartment of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Zuhier Ahmad AwanDepartment of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) is the leading cancer among Saudis, and mutations in Methodology: The study employed the TruSight Tumor 15 next-generation sequencing (NGS) panel on 86 colorectal cancer (CRC) samples to detect somatic mutations in Results: Out of 86 tumor samples, 40 (46.5%) harbored somatic mutations within actionable genes ( Conclusion: Overall, this study highlights the importance of comprehensive molecular screening and bioinformatics in understanding the mutational landscape of CRC in the Saudi population, ultimately improving targeted drug treatments.

Indexed as

BRAF V600Ecolorectal cancersomatic mutationstargeted drug therapyTruSight tumor 15 panel

Identifiers

PMID39635441
PMCPMC11614610

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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.