Evidence map›Paper›PMID 39195217›Full record

ArticleCells2024

Proteomic Profiling of HDL in Newly Diagnosed Breast Cancer Based on Tumor Molecular Classification and Clinical Stage of Disease.

Monique de Fatima Mello Santana, Maria Isabela Bloise Alves Caldas Sawada, Douglas Ricardo Souza Junior, Marcia Benacchio Giacaglia, Mozania Reis, Jacira Xavier, Maria Lucia Côrrea-Giannella, Francisco Garcia Soriano, Luiz Henrique Gebrim, Graziella Eliza Ronsein and 1 more

Abstract read
In one paragraph

Article in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

11 authors.

Monique de Fatima Mello SantanaLaboratório de Lípides (LIM10), Hospital das Clínicas (HCFMUSP), Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, Brazil.ORCID 0000-0002-7380-0696
Maria Isabela Bloise Alves Caldas SawadaPrograma de Pós-Graduação em Medicina, Universidade Nove de Julho, Sao Paulo 01525-000, Brazil.ORCID 0000-0002-2698-4496
Douglas Ricardo Souza JuniorLaboratório de Proteômica Aplicada à Processos Inflamatórios, Instituto de Química, Universidade de Sao Paulo, Sao Paulo 05508-900, Brazil.ORCID 0000-0001-6725-5137
Marcia Benacchio GiacagliaPrograma de Pós-Graduação em Medicina, Universidade Nove de Julho, Sao Paulo 01525-000, Brazil.
Mozania ReisPrograma de Pós-Graduação em Medicina, Universidade Nove de Julho, Sao Paulo 01525-000, Brazil.
Jacira XavierPrograma de Pós-Graduação em Medicina, Universidade Nove de Julho, Sao Paulo 01525-000, Brazil.
Maria Lucia Côrrea-GiannellaLaboratório de Carboidratos e Radioimunoensaio (LIM18), Hospital das Clínicas (HCFMUSP), Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, Brazil.ORCID 0000-0003-3655-4446
Francisco Garcia SorianoLaboratório de Emergências Clínicas (LIM51), Hospital das Clínicas (HCFMUSP), Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, Brazil.ORCID 0000-0003-4898-0135
Luiz Henrique GebrimCentro de Referência da Saúde, Mulher-Hospital Pérola Byington, Sao Paulo 01215-000, Brazil.ORCID 0000-0001-9941-9191
Graziella Eliza RonseinLaboratório de Proteômica Aplicada à Processos Inflamatórios, Instituto de Química, Universidade de Sao Paulo, Sao Paulo 05508-900, Brazil.ORCID 0000-0002-2340-6770
Marisa PassarelliLaboratório de Lípides (LIM10), Hospital das Clínicas (HCFMUSP), Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, Brazil.ORCID 0000-0002-9249-4698

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/18431-4 and 2016/15603-0 to MP; 2021/02401-9 to MFMS, 2019/25702-4 to DRSJ and 2023/00995-4 to GER
6 · The paper itself

Abstract

The association between high-density lipoprotein (HDL) cholesterol and breast cancer (BC) remains controversial due to the high complexity of the HDL particle and its functionality. The HDL proteome was determined in newly diagnosed BC classified according to the molecular type [luminal A or B (LA or LB), HER2, and triple-negative (TN)] and clinical stage of the disease. Women (n = 141) aged between 18 and 80 years with BC, treatment-naïve, and healthy women [n = 103; control group (CT)], matched by age and body mass index, were included. Data-independent acquisition (DIA) proteomics was performed in isolated HDL (D = 1.063-1.21 g/mL). Results: Paraoxonase1, carnosine dipeptidase1, immunoglobulin mMu heavy chain constant region (IGHM), apoA-4, and transthyretin were reduced, and serum amyloid A2 and tetranectin were higher in BC compared to CT. In TNBC, apoA-1, apoA-2, apoC-2, and apoC-4 were reduced compared to LA, LB, and HER2, and apoA-4 compared to LA and HER2. ComplementC3, lambda immunoglobulin2/3, serpin3, IGHM, complement9, alpha2 lysine rich-glycoprotein1, and complement4B were higher in TNBC in comparison to all other types; complement factor B and vitamin D-binding protein were in contrast to LA and HER2, and plasminogen compared to LA and LB. In grouped stages III + IV, tetranectin and alpha2-macroglobulin were reduced, and haptoglobin-related protein; lecithin cholesterol acyltransferase, serum amyloid A1, and IGHM were increased compared to stages I + II. Conclusions: A differential proteomic profile of HDL in BC based on tumor molecular classification and the clinical stage of the disease may contribute to a better understanding of the association of HDL with BC pathophysiology, treatment, and outcomes.

Indexed as

Breast NeoplasmsNeoplasm StagingProteomicsAdolescentAdultAgedAged, 80 and overFemaleHumansLipoproteins, HDLMiddle AgedProteomeYoung AdultLipoproteins, HDLProteomebreast cancerHDLproteomicstriple-negative breast cancer

Identifiers

PMID39195217
PMCPMC11352958

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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.