Evidence map›Paper›PMID 34466597›Full record

ArticleGalen medical journal2020

Mummy Induces Apoptosis Through Inhibiting of Epithelial-Mesenchymal Transition (EMT) in Human Breast Cancer Cells.

Solmaz Rahmani Barouji, Arman Shahabi, Mohammadali Torbati, Seyyed Mohammad Bagher Fazljou, Ahmad Yari Khosroushahi

Open access · diamondAbstract read
In one paragraph

Article in Galen medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 8 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 1 institution in 1 country.

Solmaz Rahmani BaroujiDepartment of Persian Medicine, School of Traditional Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Arman ShahabiStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammadali TorbatiDepartment of Food Science and Technology, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Seyyed Mohammad Bagher FazljouDepartment of Persian Medicine, School of Traditional Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Ahmad Yari KhosroushahiDrug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Tabriz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMummy (Iranian pure shilajit) is a remedy with possessing anti-inflammatory, antioxidant and anticancer activities. This study aimed to examine mummy effects on epithelial-mesenchymal transition (EMT) and invasiveness of MCF-7 and MDA-MB-231 breast cancer (BC) cell lines with underlying its mechanism. MATERIALS AND

methodsThe dose-dependent inhibitory effect of the mummy on cell proliferation

resultsMDA-MB-231 showed more sensitivity than the MCF-7 cell line to the anticancer activity of mummy, while mummy did not exhibit significant cell cytotoxicity against human normal cells (MCF-10A). The gene expression profile demonstrated a significant decrease in TGF-β1, TGF-βR1, TWIST1, NOTCH1, CTNNB1, SRC along with an increase in E-cadherin mRNA levels in mummy treated cells compared to the untreated control group (P≤0.05).

conclusionMummy triggers inhibition of EMT and metastasis in breast cancer cells mainly through the downregulation of TGFβ1 activity, and more studies required to find its specific anticancer activity with details.

Indexed as

ApoptosisBreast CancerEMTMummyTGFβ1

Identifiers

PMID34466597
PMCPMC8343979
OpenAlexW3060800994

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.