Molecular Mechanism of Cancer Research and Therapies
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Oncology".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 8265
Special Issue Editor
Special Issue Information
Dear Colleagues,
With the advance in both genome-wide association studies (GWAS) and phenome-wide association studies (PHWAS), the era of evidence-based medicine has gradually shifted to that of personalized medicine or individually-tailored health care over the past two decades. Therefore, precision cancer preventive and therapeutic care cannot be overemphasized from the panorama of three levels of prevention (primary, secondary, and tertiary). To this end, it is imperative to elucidate the molecule-based mechanism of cancer research by providing a systematic framework constructed by a multistate disease process from carcinogenesis (occurrence), proliferation (progression), and prognosis (recurrence and survival) onto which a constellation of molecular profiles that are synthesized from both GWAS and PHWAS are mapped. The corresponding state-of-the art effective and cost-effective interventions and therapies can be guided by such a continuous spectrum of molecule-based multistate process to implement three level of prevention.
In this special issue, we first aim to provide an overview of the multistate disease process on which a string of state-speciifc molecule feastures are superimposed to elucidate the mechanism of cancer research trageting at different stages, embracing occurrence, progression, and progression of cancer. Following the synthesis science of combining a series of studies on molecular profiles associated with each stage of cancer development from literatures, the special issue further plan to propose precision preventive and therapeutic care paradigm in comparison with the conventional evidence-based one. Evaluation of this precision care model is also demonstrated by first using artificial intelligence with the machine learning methods and then the digital twin approach. The contexts of cancer include, to a greater extent, five major sites of cancers (including breast, colon &rectum, cervix, lung, and liver) and, to a lesser extent, other sites such as oral cavity. Data on molecular mechanisms or pathophysiology are essential, and papers that only contain clinical trials/data are not acceptable.
Potential topics include, but not limited to:
- Molecular Profiles Associated with Multi-step Process of Cancer
- Risk Prediciton Model for Multistate Cancer with Molecular Biomarkers
- Synthetic Science for Occurrence, Progression, and Prognosis of Cancer Consolidated by the Molecule-guided Mechanisms
- Precsion Preventive and Therapeutic Care Model for Cancer
- Evaluating Precsion Cancer Care Model particularly preferred by but not limited to Artificial Intelligence (AI)
Prof. Dr. Hsiu-Hsi Chen
Guest Editor
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Keywords
- molecular mechanism
- multistate model
- cancer
- precsion cancer care
- preventive and therapeutic care
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