Title:Individualized Cancer Therapy, Future Approaches
Volume: 16
Issue: 2
Author(s): Da-Yong Lu*, Ting-Ren Lu, Bin Xu, Jin-Yu Che, Ying Shen and Nagendra Sastry Yarla
Affiliation:
- Shanghai University, Shanghai 200444,China
Keywords:
Individualized cancer therapy, personalized medicine, pharmacology, neoplasm pathology, drug combinations,
neoplasm metastasis, mathematics, computational network, decision aid.
Abstract: Background: Cancer is a series of different disease (>200 different sub-types)
with an identical feature of unlimited growth, invasive and multi-step/multi-level metastasis
processes.
Objective: Individualized cancer therapies/personalized cancer therapies will undergo a
dramatic evolution to cope with this disease diversity and a complexity of tumor
genes/biomarkers.
Methods: The next generation of personalized cancer therapy must simultaneously contain
information of pharmacology (drug sensitivity or drug combination), oncology (tumor
etiopathological information), computational network (predictive of cancer risks and
therapeutic efficacy), toxicology (adverse side-effects and human mortality), artificial intelligence
and patient’s desire (decision-aid), especially technology merge.
Results: Future multi-functional approach is inevitable. After all, multi-functional personalized
cancer therapy (collective and balanced regime/paradigms) might take formation in
the future.
Conclusion: A reliable, safe, effective and collective platform can be established through
further scientific and technical approaches in the clinic.
