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Cited by 459

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

An overview of targeted cancer therapy

Open access
Padma, Viswanadha Vijaya·2015·BioMedicine

Abstract

Cancer is a multifactorial disease and is one of the leading causes of death worldwide. The contributing factors include specific genetic background, chronic exposure to various environmental stresses and improper diet. All these risk factors lead to the accumulation of molecular changes or mutations in some important proteins in cells which contributes to the initiation of carcinogenesis. Chemotherapy is an effective treatment against cancer but undesirable chemotherapy reactions and the development of resistance to drugs which results in multi-drug resistance (MDR) are the major obstacles in cancer chemotherapy. Strategies which are in practice with limited success include alternative formulations e.g., liposomes, resistance modulation e.g., PSC833, antidotes/toxicity modifiers e.g., ICRF-187 and gene therapy. Targeted therapy is gaining importance due to its specificity towards cancer cells while sparing toxicity to off-target cells. The scope of this review involves the various strategies involved in targeted therapy like-monoclonal antibodies, prodrug, small molecule inhibitors and nano-particulate antibody conjugates.

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Metadata

Authors
Padma, V. V.
Venue
BioMedicine
Published
2015-11-28
Volume
5
Issue
4
Pages
19-19
ISSN
  • 2211-8020 (ISSN-L)
  • 2211-8039
OpenAlex
W2173189766
Cited by
459
References
60
FWCI
6.37
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: An overview of targeted cancer therapy. https://app.cochat.ai/papers/10.7603/s40681-015-0019-4
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Padma, V. V. (2015). An overview of targeted cancer therapy. BioMedicine. https://doi.org/10.7603/s40681-015-0019-4

Data sources

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.