Objective: According to the immunohistochemical (IHC) test of ER, PR and HER-2, breast cancer can be divided into 4 different molecular subtypes: Luminal A subtype (ER or PR positive and HER-2 negative), Luminal B subtype (ER or PR positive and HER-2 positive), HER-2 subtype (ER and PR negative, HER-2 positive) and Basal-like subtype (ER, PR and HER-2 negative). This study was to analyze the clinical features of different breast cancer subtypes, and try to find the evidence of combined and individualized treatment for patients with breast cancer.
Methods: The data of 408 surgically treated breast cancer patients in the Cancer Hospital of Chinese Academy of Medical Sciences from January 1, 2002 to December 31, 2002 were collected and retrospectively analyzed. The clinicopathological features and recurrence, metastasis as well as survival of these four subtypes were compared.
Results: Of the 408 cases, Luminal A subtype accounted for 60.8% (248/408), Luminal B subtype 7.8% (32/408), HER-2 subtype 12.5% (51/408), and Basal-like subtype 18.9% (77/408). Basal-like subtype had less lymph node metastases than other subtypes (P<0.05). HER-2 subtypes consisted of less patients aged 45 years or younger than other subtypes (P<0.05). Luminal B subtype contained less advanced cases than other subtypes (P<0.01). By August 2008, the median time of follow-up was 64 months (range, 3-79 months). Fifty-eight cases presented local recurrence or metastasis, and 51 of them died of the disease. The 5-year overall survival rates (OS) for patients with Luminal A, Luminal B, Basal-like and HER-2 subtype were 89.83%, 86.15%, 79.85% and 86.70% , respectively. The 5-year disease-free survival (DFS) rates of the four subtypes were 83.52%, 68.88%, 71.66% and 75.83%, respectively. The rate of local recurrence or metastasis in Luminal A subtype was significantly lower than that in Luminal B and Basal-like subtypes (P<0.05). The DFS time in Luminal B subtype was shorter than that in Luminal A subtype (P=0.0481). The OS and DFS time in Basal-like subtype were all shorter than that in Luminal A subtype (P=0.0077 and P=0.0306, respectively).
Conclusion: The distribution of each subtype in Chinese breast cancer patients is similar to that in European and American breast cancer patients. Luminal A is the most common subtype in Chinese breast cancer patients, and has a good prognosis. While Basal-like and Luminal B subtype have a poor prognosis.
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East Mediterr Health J
December 2024
Department of Radiology, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: Breast cancer is often thought to occur at a younger age among Arab women based on the mean or median age at diagnosis, or the proportion of women diagnosed with breast cancer at a young age.
Objective: To compare age-specific breast cancer incidence rates among women from selected Arab countries with selected high- and middle-income countries.
Methods: We examined population-based, age-specific, national or regional breast cancer incidence data for 2008-2012 and 2013-2017 from Australia, Brazil, Canada, Germany, Japan, United Kingdom, and United States of America, and compared them with data from Algeria, Bahrain, Jordan, Kuwait, Morocco, Qatar, and Saudi Arabia.
Pharm Dev Technol
January 2025
Department of Pharmacy, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian 116029, China.
In this paper, the pH-sensitive targeting functional material NGR-poly(2-ethyl-2-oxazoline)-cholesteryl methyl carbonate (NGR-PEtOz-CHMC, NPC) modified quercetin (QUE) liposomes (NPC-QUE-L) was constructed. The structure of NPC was confirmed by infrared spectroscopy (IR) and nuclear magnetic resonance hydrogen spectrum (H-NMR). Pharmacokinetic results showed that the accumulation of QUE in plasma of the NPC-QUE-L group was 1.
View Article and Find Full Text PDFJ Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
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