The DOI matches its Crossref record; 159 of the 159 references it cites were found in a registry or an index.
Chemotherapy Resistance in Advanced Ovarian Cancer Patients
Open accessAbstract
Ovarian cancer is the seventh most common gynaecologic malignancy seen in women. Majority of the patients with ovarian cancer are diagnosed at the advanced stage making prognosis poor. The standard management of advanced ovarian cancer includes tumour debulking surgery followed by chemotherapy. Various types of chemotherapeutic regimens have been used to treat advanced ovarian cancer, but the most promising and the currently used standard first-line treatment is carboplatin and paclitaxel. Despite improved clinical response and survival to this combination of chemotherapy, numerous patients either undergo relapse or succumb to the disease as a result of chemotherapy resistance. To understand this phenomenon at a cellular level, various macromolecules such as DNA, messenger RNA and proteins have been developed as biomarkers for chemotherapy response. This review comprehensively summarizes the problem that pertains to chemotherapy resistance in advanced ovarian cancer and provides a good overview of the various biomarkers that have been developed in this field.
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Algebraic decay in hierarchical graphs
Garcia, A., Sonnino, G., Malek-Mansour, M.-A., & Baras, F. (1997) · doi:10.1023/a · Cited by 5,187
Oxyl radicals, redox-sensitive signalling cascades and antioxidants
Genestra, M. (2007) · Cellular Signalling · doi:10.1016/j.cellsig.2007.04.009 · Cited by 4,930
Correlation between Protein and mRNA Abundance in Yeast
Gygi, S. P., Rochon, Y., Franza, B. R., & Aebersold, R. (1999) · Molecular and Cellular Biology · doi:10.1128/mcb.19.3.1720 · Cited by 3,819
Wang, C.-Y., Mayo, M. W., Korneluk, R. G., Goeddel, D. V., & Baldwin, A. S. (1998) · Science · doi:10.1126/science.281.5383.1680 · Cited by 2,711
Mechanisms of Cancer Drug Resistance
Gottesman, M. M. (2002) · Annual Review of Medicine · doi:10.1146/annurev.med.53.082901.103929 · Cited by 2,643
Camptothecin induces protein-linked DNA breaks via mammalian DNA topoisomerase I.
Hsiang, Y. H., Hertzberg, R., Hecht, S., & Liu, L. F. (1985) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)38654-4 · Cited by 2,362
Tumor cell metabolism: cancer's Achilles' heel
Kroemer, G., & Pouyssegur, J. (2008) · Cancer Cell · doi:10.1016/j.ccr.2008.05.005 · Cited by 2,337
Bristow, R. E., Tomacruz, R. S., Armstrong, D. K., Trimble, E. L., & Montz, F. J. (2002) · Journal of Clinical Oncology · doi:10.1200/jco.2002.20.5.1248 · Cited by 2,312
Proteomic analysis of post-translational modifications
Mann, M., & Jensen, O. N. (2003) · Nature Biotechnology · doi:10.1038/nbt0303-255 · Cited by 2,134
Cannistra, S. A. (2004) · New England Journal of Medicine · doi:10.1056/nejmra041842 · Cited by 2,129
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Overcoming cancer chemotherapy resistance by the induction of ferroptosis
Wang, Y., Wu, X., Ren, Z., Li, Y., Zou, W., Chen, J., & Wang, H. (2023) · Drug Resistance Updates · doi:10.1016/j.drup.2022.100916 · Cited by 361
Mechanisms of Taxane Resistance
Maloney, S., Spring, C., Morejon-Lasso, L., & Prosperi, J. (2020) · Cancers · doi:10.3390/cancers12113323 · Cited by 198
Zheng, X., Wang, X., Cheng, X., Liu, Z., Yin, Y., Li, X., Huang, Z., Wang, Z., Guo, W., Ginhoux, F., et al. (2023) · Nature Cancer · doi:10.1038/s43018-023-00599-8 · Cited by 172
Metadata
- Authors
- Pokhriyal, R., Hariprasad, R., Kumar, L., & Hariprasad, G.
- Venue
- Biomarkers in Cancer
- Publisher
- SAGE Publications
- Published
- 2019-01
- Volume
- 11
- Pages
- 1179299X19860815-1179299X19860815
- ISSN
- 1179-299X (ISSN-L)
- OpenAlex
- W2953658820
- Cited by
- 283
- References
- 159
- FWCI
- 27.67
- Type
- journal article
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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