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Cited by 587

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Breast Cancer—Epidemiology, Classification, Pathogenesis and Treatment (Review of Literature)

Open access
Smolarz, Beata, Nowak, Anna Zadrożna, Romanowicz, Hanna·2022·Cancers

Abstract

Breast cancer is the most-commonly diagnosed malignant tumor in women in the world, as well as the first cause of death from malignant tumors. The incidence of breast cancer is constantly increasing in all regions of the world. For this reason, despite the progress in its detection and treatment, which translates into improved mortality rates, it seems necessary to look for new therapeutic methods, and predictive and prognostic factors. Treatment strategies vary depending on the molecular subtype. Breast cancer treatment is multidisciplinary; it includes approaches to locoregional therapy (surgery and radiation therapy) and systemic therapy. Systemic therapies include hormone therapy for hormone-positive disease, chemotherapy, anti-HER2 therapy for HER2-positive disease, and quite recently, immunotherapy. Triple negative breast cancer is responsible for more than 15–20% of all breast cancers. It is of particular research interest as it presents a therapeutic challenge, mainly due to its low response to treatment and its highly invasive nature. Future therapeutic concepts for breast cancer aim to individualize therapy and de-escalate and escalate treatment based on cancer biology and early response to therapy. The article presents a review of the literature on breast carcinoma—a disease affecting women in the world.

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Crossref · 10.3390/cancers14102569

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Metadata

Authors
Smolarz, B., Nowak, A. Z., & Romanowicz, H.
Venue
Cancers
Publisher
MDPI AG
Published
2022-05-23
Volume
14
Issue
10
Pages
2569
ISSN
2072-6694 (ISSN-L)
OpenAlex
W4281396150
Cited by
587
References
12
FWCI
38.83
Type
journal article
Language
en
Open access
gold

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.