Evidence map›Paper›PMID 35729480›Full record

ArticleMolecular biology reports2022

Prognostic significance of CHAC1 expression in breast cancer.

Vikrant Mehta, Jaipal Meena, Harit Kasana, Anjana Munshi, Harish Chander

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In one paragraph

Article in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Vikrant MehtaDepartment of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, 151401, India.
Jaipal MeenaBiotherapeutics Division, National Institute of Biologicals, Sector 62, Noida, 201309, India.
Harit KasanaBiotherapeutics Division, National Institute of Biologicals, Sector 62, Noida, 201309, India.
Anjana MunshiDepartment of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, 151401, India.
Harish ChanderBiotherapeutics Division, National Institute of Biologicals, Sector 62, Noida, 201309, India. drharish.chander@nib.gov.in.ORCID http://orcid.org/0000-0001-9286-8613
Central University of Punjab · INNational Institute of Cancer Prevention and Research · INNational Institute of Pathology · IN

Funding

DST-SERB EEQ/2017/000794DST-SERB EMR/2015/000761
6 · The paper itself

Abstract

backgroundAn emerging component of Unfolded Protein Response (UPR) pathway, cation transport regulator homolog 1 (CHAC1) has been conferred with the ability to degrade intracellular glutathione and induce apoptosis, however, many reports have suggested a role of CHAC1 in cancer progression. Our study aimed to investigate CHAC1 mRNA levels in large breast cancer datasets using online tools and both mRNA and protein levels in different breast cancer cell lines. METHODS AND

resultsAnalysis of clinical information from various online tools (UALCAN, GEPIA2, TIMER2, GENT2, UCSCXena, bcGenExMiner 4.8, Km Plotter, and Enrichr) was done to elucidate the CHAC1 mRNA expression in large breast cancer patient dataset and its correlation with disease progression. Later, in vitro techniques were employed to explore the mRNA and protein expression of CHAC1 in breast cancer cell lines. Evidence from bioinformatics analysis as well as in vitro studies indicated a high overall expression of CHAC1 in breast tumor samples and had a significant impact on the prognosis and survival of patients. Enhanced CHAC1 levels in the aggressive breast tumor subtypes such as Human Epidermal growth factor receptor 2 (HER2) and Triple Negative Breast Cancer (TNBC) were evident. Our findings hint toward the possible role of CHAC1 in facilitating the aggressiveness of breast cancer and the disease outcome.

conclusionIn summary, CHAC1 is constantly up-regulated in breast cancer leading to a poor prognosis. CHAC1, therefore, could be a promising candidate in the analysis of breast cancer diagnosis and prognosis.

Indexed as

Breast NeoplasmsTriple Negative Breast NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansPrognosisRNA, MessengerRNA, MessengerBioinformaticsBreast cancerCHAC1MetastasisPrognosis

Identifiers

PMID35729480
OpenAlexW4283265066

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.