Evidence map›Paper›PMID 38524743›Full record

ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2024

The frequency of NRAS mutation in stool samples of Iranian colorectal cancers compared to Finnish patients.

Farideh Saberi, Omar Youssef, Arto Kokkola, Mahsa Khodadoostan, Pauli Puolakkainen, Rasoul Salehi, Sakari Knuutila

Open access · goldAbstract read
In one paragraph

Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 3 countries.

Farideh SaberiDepartment of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Omar YoussefDepartment of Pathology, University of Helsinki, Helsinki, Finland, Europe.
Arto KokkolaThe HUCH Gastrointestinal Clinic, University Central Hospital of Helsinki, Helsinki, Finland, Europe.
Mahsa KhodadoostanDepartment of Gastroenterology and Hepatology, Alzahra Hospital, Isfahan University of Medical Sciences, Isfahan, Iran.
Pauli PuolakkainenThe HUCH Gastrointestinal Clinic, University Central Hospital of Helsinki, Helsinki, Finland, Europe.
Rasoul SalehiDepartment of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Sakari KnuutilaDepartment of Pathology, University of Helsinki, Helsinki, Finland, Europe.
Isfahan University of Medical Sciences · IRHelsinki University Hospital · FIUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stools from colorectal cancer patients are noninvasive samples that could be used to compare the frequency of hotspot mutations between two different ethnic cohorts. Materials and Methods: We collected stool samples from the Iranian cohort (52 patients and 49 controls) and the Finnish cohort (40 patients and 14 controls). Following stool DNA extraction, we used the AmpliSeq Colon and Lung Cancer panel to prepare DNA libraries before sequencing. Results: The Iranian cohort exhibited 35 hotspot mutations in the Conclusion: Genes involved in MAPK and PI3K-MAPK pathways showed a higher frequency of mutations in Iranian patients which may have therapeutic implications.

Indexed as

ColorectalDNAFinnishIranianMAPKmutationsNRAS

Identifiers

PMID38524743
PMCPMC10956560
OpenAlexW4391443920

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.