By consistently dedicating efforts to multi-omic and other
high-throughput technologies, it is expected that RNA therapies will
have a vital role in future personalized medicine approaches for
cancer therapy. Within this framework, analyzing the genetic sequence
of a patient's tumor would allow for the detection of crucial driver
mutations or changes that cause resistance to drugs. These mutations
may then be targeted with RNA therapies that are particularly designed
to treat those particular variations. Recent clinical trials have
shown that RNA-based therapies hold great potential for treating
several illnesses. However, further investigations are required to
improve the delivery materials and understand the RNA alterations
linked to these groundbreaking drugs, in order to facilitate their
integration into clinical practice. Ideally, these therapeutic
substances would be specifically administered to the tumor cells of
interest using a targeted delivery agent. In this hypothetical
situation, the choice of medications for cancer patients would differ
depending on the precise abnormalities detected in each person,
potentially including inhibitors that target circuits known to cause
resistance to treatments. However, doing a more thorough assessment of
the challenges and potential benefits discussed in each chapter would
enhance the capacity to critically analyze this rapidly evolving field
of therapies. This book largely examines the latest developments and
clinical studies related to RNA-based medications, while also
examining the challenges and future possibilities linked with them.
This method shows potential for greatly improving the prognosis of
cancer patients.
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Techniques, Applications and Challenges in Prognosis
Produktdetaljer
ISBN
9789819634569
Publisert
2025
Utgiver
Springer Nature
Språk
Product language
Engelsk
Format
Product format
Digital bok