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Systems Oncology: Bridging Pancreatic and Castrate Resistant Prostate Cancer

A Fucic1, A Aghajanyan2, Z Culig3

  • 1Institute for Medical Research and Occupational Health, Ksaverska c 2, 10000, Zagreb, Croatia. afucic@imi.hr.

Pathology Oncology Research : POR
|September 17, 2018
PubMed

Insights

Re-clustering cancer data by analyzing similarities between pancreatic ductal adenocarcinoma and castrate-resistant prostate cancer can improve antineoplastic drug therapies. This systems oncology approach bridges knowledge for better treatment efficacy.

Area of Science:

  • Oncology
  • Systems Biology
  • Translational Medicine

Background:

  • Pharmaceutical investments in antineoplastic drugs yield limited therapeutic advances.
  • Current knowledge application in oncology remains unsatisfactory despite technological progress.
  • Pancreatic ductal adenocarcinoma (PaC) and castrate-resistant prostate cancer (CRPC) serve as models for exploring data re-clustering.

Purpose of the Study:

  • To propose a concept for improving the applicability of current oncology knowledge through data re-clustering.
  • To introduce a novel matrix for combining therapies across different cancer types.
  • To analyze similarities between PaC and CRPC, including shared etiological mechanisms and diabetes as a hallmark.

Main Methods:

  • Systems oncology approach for data re-clustering.
  • Bridging data on biomarkers and pathways between different cancer types.
  • Analysis of etiological and progression mechanisms in PaC and CRPC.
  • Utilizing Systems Biology Graphical Notation Language for mapping biological interactions.

Main Results:

  • Identified similarities in etiology and progression mechanisms between PaC and CRPC.
  • Highlighted diabetes as a common hallmark in both cancer types.
  • Proposed a new matrix for combining approved therapies across cancer types.
  • Detailed knowledge gaps and future research directions.

Conclusions:

  • Re-clustering clinical and scientific data is crucial for enhancing current oncology knowledge applicability.
  • A systems oncology approach, bridging data across cancer types, can improve antineoplastic therapy efficacy.
  • The proposed horizontal and vertical matrix offers potential for improved cancer profiling and treatment.
Keywords:
Cancer markerCancer profilingCastrate resistant prostate cancerPancreatic cancerSystems oncology

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