Advances in Molecular Research on Cancer Drug Targets and Drug Resistance
A special issue of Cells (ISSN 2073-4409).
Deadline for manuscript submissions: 20 February 2026 | Viewed by 24
Special Issue Editors
Interests: pharmacology; ABC transporters; multidrug resistance (MDR); oncology; cancer therapy; anticancer drug; clinical case; cell biology; internal & external medicine
Interests: drug design; drug development; enzyme inhibitors; cancer; inflammation
Special Issues, Collections and Topics in MDPI journals
Interests: cancer therapy; presision medicine/personalized therapy; prevention; diabetes; nutrition; stem cell; biomarker development; nano-technology; immunology; drug discovery and development; microRNA; angiogenesis; autophagy; tumor microenvironment and metastasis; health disparity; COVID-19 therapeutics
Special Issue Information
Dear Colleagues,
Cancer remains a formidable global health challenge, necessitating continuous innovation in therapeutic strategies. Significant advancements in treatment have emerged from a deeper molecular understanding of cancer biology, leading to the identification of specific drug targets and the development of targeted therapies. However, despite these successes, the challenge of drug resistance frequently limits treatment efficacy and contributes to disease recurrence. This underscores the critical need for ongoing molecular research to not only discover novel targets but also to overcome the complex mechanisms by which cancer cells evade therapeutic agents.
Therefore, this Special Issue aims to compile cutting-edge original research and comprehensive review articles that advance our understanding of the molecular basis of cancer drug targets and the mechanisms of drug resistance. Our objective is to gather a comprehensive collection of at least 10 articles, with the potential for the Special Issue to be printed in book form if this number is achieved.
In this Special Issue, research areas may include the discovery and validation of novel molecular targets, elucidation of molecular mechanisms of intrinsic and acquired drug resistance, the role of tumor heterogeneity and the tumor microenvironment in resistance, strategies to overcome resistance, development of biomarkers for predicting response and resistance, and studies on new anti-cancer agents and resistance modulators.
We look forward to receiving your contributions.
Dr. Yuhao Xie
Prof. Dr. Concettina La Motta
Dr. Rakesh Kumar Srivastava
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cells is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- cancer therapy
- drug targets
- drug resistance
- molecular mechanisms
- targeted therapy
- tumor microenvironment
- personalized medicine
- biomarkers
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