Evidence map›Paper›PMID 31902979›Full record

ArticleBioinformation2019

Towards the early detection of ductal carcinoma (a common type of breast cancer) using biomarkers linked to the PPAR(γ) signaling pathway.

Ghazala Sultan, Swaleha Zubair, Iftikhar Aslam Tayubi, Hans-Uwe Dahms, Inamul Hasan Madar

Abstract read
In one paragraph

Article in Bioinformation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

29 citing papers in PubMed.

  1. Recent advances on the role of G0S2.Discover oncology · 2025
    Review
  2. Article
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  4. Decoding the Epigenome of Breast Cancer.International journal of molecular sciences · 2025
    Review
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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.

Ghazala SultanDepartment of Computer Science, Aligarh Muslim University, Aligarh, Uttar Pradesh 202001, India.
Swaleha ZubairDepartment of Computer Science, Aligarh Muslim University, Aligarh, Uttar Pradesh 202001, India.
Iftikhar Aslam TayubiFaculty of Computing and Information Technology, Rabigh, King Abdulaziz University, Jeddah 21911, Saudi Arabia.
Hans-Uwe DahmsDepartment of Computer Science, Aligarh Muslim University, Aligarh, Uttar Pradesh 202001, India.
Inamul Hasan MadarDepartment of Biomedical Science and Environmental Biology, KMU-Kaohsiung Medical University, Kaohsiung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a leading cause of morbidity and mortality among women comprising about 12% females worldwide. The underlying alteration in the gene expression, molecular mechanism and metabolic pathways responsible for incidence and progression of breast tumorigenesis are yet not completely understood. In the present study, potential biomarker genes involved in the early progression for early diagnosis of breast cancer has been detailed. Regulation and Gene profiling of Ductal Carcinoma In-situ (DCIS), Invasive Ductal Carcinoma (IDC) and healthy samples have been analyzed to follow their expression pattern employing normalization, statistical calculation, DEGs annotation and Protein-Protein Interaction (PPI) network. We have performed a comparative study on differentially expressed genes among Healthy vs DCIS, Healthy vsIDC and DCIS vs IDC. We found MCM102 and SLC12A8as consistently over-expressed and LEP, SORBS1, SFRP1, PLIN1, FABP4, RBP4, CD300LG, ID4, CRYAB, ECRG4, G0S2, FMO2, ADAMTS5, CAV1, CAV2, ABCA8, MAMDC2, IGFBP6, CLDN11, TGFBR3as under-expressed genes in all the 3 conditions categorized for pre-invasive and invasive ductal breast carcinoma. These genes were further studied for the active pathways where PPAR(γ) signaling pathway was found to be significantly involved. The gene expression profile database can be a potential tool in the early diagnosis of breast cancer.

Indexed as

biomarker DiscoveryBreast Cancerductal Carcinoma In-situ (DCIS)invasive ductal carcinoma (IDC)microarrayPPAR(γ)signaling pathway

Identifiers

PMID31902979
PMCPMC6936658

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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.