Evidence map›Paper›PMID 29949609›Full record

ArticlePloS one2018

High CD90 (THY-1) expression positively correlates with cell transformation and worse prognosis in basal-like breast cancer tumors.

Aline Ramos Maia Lobba, Ana Claudia Oliveira Carreira, Otto Luiz Dutra Cerqueira, André Fujita, Carlos DeOcesano-Pereira, Cynthia Aparecida Bueno Osorio, Fernando Augusto Soares, Pranela Rameshwar, Mari Cleide Sogayar

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  12. Evidence of a synthetic lethality interaction between SETDB1 histone methyltransferase and CHD4 chromatin remodeling protein in a triple negative breast cancer cell line.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023
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  18. Oncology letters · 2020
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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 3 institutions in 2 countries.

Aline Ramos Maia LobbaNUCEL (Cell and Molecular Therapy Center), Internal Medicine Department, School of Medicine, University of São Paulo, São Paulo, Brazil.
Ana Claudia Oliveira CarreiraNUCEL (Cell and Molecular Therapy Center), Internal Medicine Department, School of Medicine, University of São Paulo, São Paulo, Brazil.
Otto Luiz Dutra CerqueiraNUCEL (Cell and Molecular Therapy Center), Internal Medicine Department, School of Medicine, University of São Paulo, São Paulo, Brazil.
André FujitaDepartment of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil.
Carlos DeOcesano-PereiraNUCEL (Cell and Molecular Therapy Center), Internal Medicine Department, School of Medicine, University of São Paulo, São Paulo, Brazil.
Cynthia Aparecida Bueno OsorioDepartment of Anatomic Pathology, A. C. Camargo Hospital, São Paulo, Brazil.
Fernando Augusto SoaresDepartment of Anatomic Pathology, A. C. Camargo Hospital, São Paulo, Brazil.
Pranela RameshwarDepartment of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America.
Mari Cleide SogayarNUCEL (Cell and Molecular Therapy Center), Internal Medicine Department, School of Medicine, University of São Paulo, São Paulo, Brazil.ORCID 0000-0003-4805-4609
Universidade de São Paulo · BRAC Camargo Hospital · BRRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most prevalent cancer among women, with the basal-like triple negative (TNBC) being the most agressive one, displaying the poorest prognosis within the ductal carcinoma subtype. Due to the lack of adequate molecular targets, the diagnosis and treatment of patients with the TNBC phenotype has been a great challenge. In a previous work, we identified CD90/Thy-1 as being highly expressed in the aggressive high malignancy grade Hs578T basal-like breast tumor cell line, pointing to this molecule as a promising breast tumor marker, which should be further investigated. Here, CD90 expression was analyzed in human breast cancer samples and its functional role was investigated to better assess the oncogenic nature of CD90 in mammary cells. Quantification of CD90 expression in human breast cancer samples, by tissue microarray, showed that high CD90 positivity correlates with metastasis and poor patient survival in the basal-like subtype. The functional genetic approach, by overexpression in the CD90 cDNA in a basal-like normal mammary cell line (MCF10A) and knockdown in a highly malignant cell line (Hs578T), allowed us to demonstrate that CD90 is involved with several cellular processes that lead to malignant transformation, such as: morphological change, increased cell proliferation, invasiveness, metastasis and activation of the EGFR pathway. Therefore, our results reveal that CD90 is involved with malignant transformation in breast cancer cell lines and is correlated with metastasis and poor patient survival in the basal-like subtype, being considered as a promising new breast cancer target.

Indexed as

Gene ExpressionAnimalsBiomarkers, TumorBrazilCell Line, TumorCell MovementCell Transformation, NeoplasticEpidermal Growth FactorEpithelial-Mesenchymal TransitionFemaleFluorescent Antibody TechniqueGene AmplificationGene Expression ProfilingHumansImmunohistochemistryKaplan-Meier EstimateBiomarkers, TumorEpidermal Growth FactorThy-1 Antigens

Identifiers

PMID29949609
PMCPMC6021101
OpenAlexW2809833197

What OpenQuestion holds

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LicenceCC BY
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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.