Evidence map›Paper›PMID 37434925›Full record

ArticleAdvanced biomedical research2023

The Evaluation of HERV-K np9, rec, gag Expression in Isolated Human Peripheral Blood Mononuclear Cell (PBMC) of Gastric and Colon Cancer.

Shaian Tavakolian, Majid Iranshahi, Ebrahim Faghihloo

Open access · goldAbstract read
In one paragraph

Article in Advanced biomedical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  4. Microorganisms · 2024
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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.

Shaian TavakolianDepartment of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Majid IranshahiGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ebrahim FaghihlooDepartment of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the current age of diagnostic approaches in cancer, countless efforts have been allocated to identify novel and efficient biomarkers to detect cancer in its early stages. We focused on evaluating the correlation between the progression of gastrointestinal cancer, a leading cause of cancer death worldwide, and human endogenous retrovirus (HERV). Materials and Methods: In this study, we conducted a study on the peripheral blood mononuclear cells (PBMC) gathered from gastric and colon cancer patients. We focused on HERV-K rec, np9, gag expression analysis by quantitative real-time PCR, after extraction of RNA and synthesizing cDNA. Results: Unlike np9 whose expression increased significantly in the colon and gastric cancers, the mRNA level of the rec gene declined in both cancers. Moreover, our data illustrated that the over-expression of the gag gene was only observed in colon cancerous cells rather than gastric malignancy. Conclusions: Overall, given the correlation between the expression level of HERV-associated genes and gastrointestinal cancer, our study suggests that these genes could be considered beneficial markers for cancer diagnosis. However, researchers should conduct studies in future articles on whether these genes can be employed as biomarkers in gastrointestinal cancer.

Indexed as

Colon cancergastric cancerHERV-Kreal-time PCR

Identifiers

PMID37434925
PMCPMC10331531
OpenAlexW4381537705

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

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.