The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
Biological subtypes of breast cancer: Prognostic and therapeutic implications
Open accessAbstract
Breast cancer is a heterogeneous complex of diseases, a spectrum of many subtypes with distinct biological features that lead to differences in response patterns to various treatment modalities and clinical outcomes. Traditional classification systems regarding biological characteristics may have limitations for patient-tailored treatment strategies. Tumors with similar clinical and pathological presentations may have different behaviors. Analyses of breast cancer with new molecular techniques now hold promise for the development of more accurate tests for the prediction of recurrence. Gene signatures have been developed as predictors of response to therapy and protein gene products that have direct roles in driving the biology and clinical behavior of cancer cells are potential targets for the development of novel therapeutics. The present review summarizes current knowledge in breast cancer molecular biology, focusing on novel prognostic and predictive factors.
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Distinct Microbial Signatures Associated With Different Breast Cancer Types
Banerjee, S., Tian, T., Wei, Z., Shih, N., Feldman, M. D., Peck, K. N., DeMichele, A. M., Alwine, J. C., & Robertson, E. S. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00951 · Cited by 281
Lee, W. H., Choong, L. Y., Jin, T. H., Mon, N. N., Chong, S., Liew, C. S., Putti, T., Lu, S. Y., Harteneck, C., & Lim, Y. P. (2017) · Oncogenesis · doi:10.1038/oncsis.2017.39 · Cited by 121
Immunotherapy in breast cancer: Current status and future directions
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Metadata
- Authors
- Yersal, O.
- Venue
- World Journal of Clinical Oncology
- Publisher
- Baishideng Publishing Group Inc.
- Published
- 2014
- Volume
- 5
- Issue
- 3
- Pages
- 412
- ISSN
- 2218-4333 (ISSN-L)
- OpenAlex
- W1967997862
- Cited by
- 1,156
- References
- 76
- FWCI
- 9.33
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
