Evidence map›Paper›PMID 33616717›Full record

ArticleJournal of cancer research and clinical oncology2021

High expression of tumor susceptibility gene 101 (TSG101) is associated with more aggressive behavior in colorectal carcinoma.

Elmira Gheytanchi, Leili Saeednejad Zanjani, Roya Ghods, Maryam Abolhasani, Marzieh Shahin, Somayeh Vafaei, Marzieh Naseri, Fahimeh Fattahi, Zahra Madjd

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  5. Review
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

9 authors at 1 institution in 1 country.

Elmira GheytanchiOncopathology Research Center, Department of Molecular Medicine, Iran University of Medical Sciences (IUMS), Hemmat Street (Highway), Tehran, 14496-14530, Iran.
Leili Saeednejad ZanjaniOncopathology Research Center, Department of Molecular Medicine, Iran University of Medical Sciences (IUMS), Hemmat Street (Highway), Tehran, 14496-14530, Iran.
Roya GhodsOncopathology Research Center, Department of Molecular Medicine, Iran University of Medical Sciences (IUMS), Hemmat Street (Highway), Tehran, 14496-14530, Iran. rghods77@yahoo.com.
Maryam AbolhasaniDepartment of Pathology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Marzieh ShahinDepartment of Pathology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Somayeh VafaeiDepartment of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
Marzieh NaseriDepartment of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
Fahimeh FattahiDepartment of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
Zahra MadjdOncopathology Research Center, Department of Molecular Medicine, Iran University of Medical Sciences (IUMS), Hemmat Street (Highway), Tehran, 14496-14530, Iran. zahra.madjd@yahoo.com.ORCID http://orcid.org/0000-0001-7329-2583
Iran University of Medical Sciences · IR

Funding

Oncopathology Research Center (OPRC), Iran University of Medical Sciences Grant Number # 29690
6 · The paper itself

Abstract

introductionIdentification of genetic determinants such as exosomal content that drives progression and metastasis of colorectal cancer (CRC) has received considerable attention. The present study aims to identify a suitable biomarker in CRC tissues and exosomes based on bioinformatics data to evaluate its expression patterns in CRC tissues as well as its clinicopathological significance. MATERIALS AND

methodsProtein-protein interaction (PPI) network and enrichment analysis were applied to identify up-regulated genes that contributed in CRC exosomes to select the marker. The expression patterns and clinical significance of selected exosomal marker were evaluated in tissue microarrays (TMAs) of 445 CRC tumors and 39 adjacent normal tissues using immunohistochemistry method.

resultsBased on bioinformatics data, TSG101 gene was prominent amongst the tumor tissues and exosomes. Expression of TSG101 was significantly up-regulated in tumor cells compared to adjacent normal tissues (p-value = 0.04). Moreover, higher expressions of TSG101 (cytoplasmic and nuclear) were significantly associated with tumor differentiation (p-value = 0.042) and distant metastasis (p-value = 0.027). A significant association was found in the cytoplasmic expression of TSG101 between well and moderate tumor differentiation (p-value = 0.005) as well as moderate and poor differentiation (p-value = 0.050).

conclusionThese findings indicate that the exploration of crosstalk between exosome content and CRC may be valuable for the development of novel exosomal biomarkers. Increased expression of TSG101, as a promising exosome marker, is more associated with more aggressive tumor behaviors, metastasis, and progression of CRC, which paves the way for therapeutic strategies and CRC management. However, further investigations are warranted to clarify the molecular mechanisms of TSG101 in CRC.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCarcinomaColorectal NeoplasmsCross-Sectional StudiesDNA-Binding ProteinsEndosomal Sorting Complexes Required for TransportFemaleHumansImmunohistochemistryIranMaleMiddle AgedNeoplasm InvasivenessBiomarkers, TumorDNA-Binding ProteinsEndosomal Sorting Complexes Required for TransportTranscription FactorsTsg101 ProteinColorectal cancerImmunohistochemistry (IHC)Tissue microarray (TMA)TSG101

Identifiers

PMID33616717
PMCPMC11801982
OpenAlexW3130195839

What OpenQuestion holds

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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.