Evidence map›Paper›PMID 33747363›Full record

ArticleOncotarget2021

Quantitative proteome profiling stratifies fibroepithelial lesions of the breast.

Aviral Kumar, David S Nayakanti, Kiran K Mangalaparthi, Veena Gopinath, Nandyala Venkat Narsimha Reddy, Krishna Govindan, Geeta Voolapalli, Prashant Kumar, Lekha Dinesh Kumar

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2021. 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
1.8field-weighted citation impact, top 16% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Gene Expression Profiling of Fibroepithelial Lesions of the Breast.International journal of molecular sciences · 2023
    Article
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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

9 authors at 4 institutions in 1 country.

Aviral KumarCancer Biology, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, 500007, India.
David S NayakantiInstitute of Bioinformatics, Discoverer Building International Tech Park, Whitefield, Bangalore, 560066, India.
Kiran K MangalaparthiInstitute of Bioinformatics, Discoverer Building International Tech Park, Whitefield, Bangalore, 560066, India.
Veena GopinathCancer Biology, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, 500007, India.
Nandyala Venkat Narsimha ReddyDepartment of Surgery and Pathology, Gandhi Hospital, Secunderabad, 500025, India.
Krishna GovindanDepartment of Pathology, Government Medical College, Thiruvananthapuram, Kerala, 695011, India.
Geeta VoolapalliDepartment of Surgery and Pathology, Gandhi Hospital, Secunderabad, 500025, India.
Prashant KumarInstitute of Bioinformatics, Discoverer Building International Tech Park, Whitefield, Bangalore, 560066, India.
Lekha Dinesh KumarCancer Biology, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, 500007, India.
Centre for Cellular and Molecular Biology · INManipal Academy of Higher Education · INGovernment Medical College · INInstitute of Bioinformatics · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast fibroepithelial lesions (FELs) include heterogeneous pathological tumors, involving indolent fibroadenoma (FAD) to potentially aggressive phyllodes tumors (PTs). The current grading system remains unreliable in differentiating these tumors due to histological heterogeneity and lack of appropriate markers to monitor the sudden and unpredictable malignant transformation of PTs. Thus, there exists an imminent need for a marker-based diagnostic approach to augment the conventional histological platform that could lead to accurate diagnosis and distinction of FELs. The high- throughput quantitative proteomic analysis suggested that FAD and PTs form distinct clusters away from borderline and malignant though there exist marked differences between them. Interestingly, over-expression of extracellular matrices (ECM) related proteins and epithelial-mesenchymal transition (EMT) markers in borderline PTs led us to hypothesize a model of deposition and degradation leading to ECM remodeling and EMT acquisition triggering its malignant transformation. We also identified three candidate biomarkers such as MUCL1, HTRA1, and VEGDF uniquely expressed in FAD, borderline, and malignant PTs, respectively, which were further validated using immunohistochemistry. The present work shed light on a brief mechanistic framework of PTs aggressive nature and present potential biomarkers to differentiate overlapping FELs that would be of practical utility in augmenting existing diagnosis and disease management for this rare tumor.

Indexed as

breast tumorsfibroepithelial lesionsiTRAQphyllodesquantitative proteomics

Identifiers

PMID33747363
PMCPMC7939526
OpenAlexW3134393940

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.