The DOI matches its Crossref record; 184 of the 184 references it cites were found in a registry or an index.
Intratumor and Intertumor Heterogeneity in Melanoma
Open accessAbstract
Melanoma is a cancer that exhibits one of the most aggressive and heterogeneous features. The incidence rate escalates. A high number of clones harboring various mutations contribute to an exceptional level of intratumor heterogeneity of melanoma. It also refers to metastases which may originate from different subclones of primary lesion. Such component of the neoplasm biology is termed intertumor and intratumor heterogeneity. These levels of tumor heterogeneity hinder accurate diagnosis and effective treatment. The increasing number of research on the topic reflects the need for understanding limitation or failure of contemporary therapies. Majority of analyses concentrate on mutations in cancer-related genes. Novel high-throughput techniques reveal even higher degree of variations within a lesion. Consolidation of theories and researches indicates new routes for treatment options such as targets for immunotherapy. The demand for personalized approach in melanoma treatment requires extensive knowledge on intratumor and intertumor heterogeneity on the level of genome, transcriptome/proteome, and epigenome. Thus, achievements in exploration of melanoma variety are described in details. Particularly, the issue of tumor heterogeneity or homogeneity given BRAF mutations is discussed.
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Targeting Tumor Microenvironment for Cancer Therapy
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Metadata
- Authors
- Grzywa, T. M., Paskal, W., & Włodarski, P. K.
- Venue
- Translational Oncology
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 10
- Issue
- 6
- Pages
- 956-975
- ISSN
- 1936-5233 (ISSN-L)
- OpenAlex
- W2765099905
- Cited by
- 299
- References
- 184
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- gold
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- Grzywa, T. M., Paskal, W., & Włodarski, P. K. (2017). Intratumor and Intertumor Heterogeneity in Melanoma. Translational Oncology. https://doi.org/10.1016/j.tranon.2017.09.007
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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.
