ArticleCancer drug resistance (Alhambra, Calif.)2020
Nanotechnological approaches for counteracting multidrug resistance in cancer.
Article in Cancer drug resistance (Alhambra, Calif.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 17 citations in OpenAlex.
- Drug Delivery Systems Repurposing Taxanes as Antitumor Immune Modulators.Biomaterials research · 2026Review
- Nanodelivery systems: An efficient and target-specific approach for drug-resistant cancers.Cancer medicine · 2023Review
- Chitosan-Based Nano-Smart Drug Delivery System in Breast Cancer Therapy.Pharmaceutics · 2023Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
Every year, cancer accounts for a vast portion of deaths worldwide. Established clinical protocols are based on chemotherapy, which, however, is not tumor-selective and produces a series of unbearable side effects in healthy tissues. As a consequence, multidrug resistance (MDR) can arise causing metastatic progression and disease relapse. Combination therapy has demonstrated limited responses in the treatment of MDR, mainly due to the different pharmacokinetic properties of administered drugs and to tumor heterogeneity, challenges that still need to be solved in a significant percentage of cancer patients. In this perspective, we briefly discuss the most relevant MDR mechanisms leading to therapy failure and we report the most advanced strategies adopted in the nanomedicine field for the design and evaluation of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.