Background: microRNAs (miRNAs) that regulate proliferation, invasion and metastasis are considered to be the principal molecular basis of tumor heterogeneity. Breast cancer is not a homogeneous tissue. Thus, it is very important to perform microarray-based miRNA screening of tumors at different sites.
Methods: Breast tissue samples from the centers and edges of tumors of 30 patients were classified into 5 clinicopathological subtypes. In each group, 6 specimens were examined by microRNA array. All differential miRNAs were analyzed between the edges and centers of the tumors.
Results: Seventeen kinds of miRNAs were heterogeneously distributed in the tumors from different clinicopathological subtypes that included 1 kind of miRNA in Luminal A and Luminal B Her2+ subtypes, 4 kinds in Luminal A and Her2 overexpression subtypes, 6 kinds in Luminal B Ki67+ and Luminal B Her2+ subtypes, 2 kinds between Luminal B Ki67+ and triple-negative breast cancer (TNBC) subtypes, 2 kinds between Luminal B Her2+ and TNBC subtypes, and 2 kinds between Luminal B Ki67+, Luminal B Her2+, and TNBC subtypes. Twenty kinds of miRNAs were homogenously distributed in the tumors from different clinicopathological subtypes that included 6 kinds of miRNAs in Luminal B Ki67+ and Luminal B Her2+ subtypes, 1 kind in Luminal B Ki67+ and Her2 overexpression subtypes, 10 kinds between Luminal B Ki67+ and TNBC subtypes, 2 kinds in Luminal B Her2+ and TNBC subtypes, and 1 kind between Luminal B Ki67+, Luminal B Her2+, and TNBC subtypes.
Conclusions: A total of 37 miRNAs were significantly distributed in tumors from the centers to edges, and in all clinicopathological subtypes.
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http://dx.doi.org/10.7314/apjcp.2013.14.5.3197 | DOI Listing |
J Ultrason
January 2025
Radiodiagnosis, Indira Gandhi Medical College and Hospital (IGMC), Shimla, Himachal Pradesh, India.
Introduction: The recognition of molecular subtypes of breast cancer has initiated a new regimen of targeted therapy. Early diagnosis is a key step in improving survival. Therefore, a cost-effective and widely available imaging tool is needed for the timely detection and prediction of the molecular profile of breast cancer.
View Article and Find Full Text PDFBiochem Genet
March 2025
The First Clinical Medical College, Lanzhou University, Lanzhou, 730000, Gansu, China.
Breast cancer is a heterogeneous tumor with 4 major molecular subtypes. Hormone receptor (HR)-positive and HER2-negative breast cancer accounts for 70% of invasive breast cancers. In our study, we collected 15 original Luminal B breast cancer tissue (LBBC) and paired non-cancerous adjacent tissue (NATs) from patients and performed LC-MS/MS-based label-free quantitative phosphoproteomic analysis.
View Article and Find Full Text PDFJ Epidemiol Glob Health
March 2025
Research and Innovation, GCC Cancer Control and Prevention, King Faisal Specialist Hospital and Research Center, PO BOX 3354, Riyadh, KSA, 11211, Saudi Arabia.
Background: Understanding the ethnic molecular subtype characteristics of breast cancer (BC) in Saudi women is crucial for providing comprehensive prognostic information and optimizing patient outcomes, making it essential to study their distribution and impact on survival.
Methods: This hospital-based cohort study analyzed clinic-pathological data from 1,035 Saudi women diagnosed with invasive BC and followed for 12 years, at King Faisal Specialist Hospital & Research Center. Cancers were classified into four molecular subtypes: luminal A, luminal B, human epidermal growth factor receptor 2 (HER2)-enriched, and triple-negative.
Pathol Int
March 2025
Department of Pathology, Faculty of Medicine, Tottori University, Tottori, Japan.
The reliability of Ki67-labeling index (LI) in core needle biopsy (CNB) of ER+/HER2- invasive breast carcinoma (IBC) and factors affecting the discordance of Ki67-LI between CNB and surgical resection (SR) remain unsolved. We aimed to elucidate factors influencing the discordance of Ki67-LI between CNB and SR to classify ER+/HER2- IBC into luminal A-like (LumA) and luminal B-like (LumB). The cohort included 326 ER+/HER2- IBCs available with Ki67-LI data at both CNB and SR specimens.
View Article and Find Full Text PDFComput Biol Med
March 2025
ALGORITMI Research Center/CCPM, Campus de Azurém, 4800, Guimarães, Portugal; Department of Computer Engineering, Setúbal School of Technology, Setúbal Polytechnic University, Campus do IPS, Estefanilha, 2914-508, Setúbal, Portugal. Electronic address:
Breast cancer (BC) remains a predominant and deadly cancer in women worldwide. By 2040, projections indicate that more than 3 million new cases of breast cancer will emerge annually, culminating in more than 1 million deaths worldwide. Early detection and accurate diagnosis of BC are critical factors that influence treatment success and patient outcomes.
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