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Related Concept Videos

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Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
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An ohmmeter is a resistance-measuring device. It works by applying a voltage to a resistor of unknown resistance and measuring the current across the resistor. The resistance value is deduced using Ohm's law. Usually, the standard configuration of an ohmmeter comprises a voltmeter or an ammeter. However, such configurations are limited in accuracy because the meters alter the voltage applied to the resistor and the current that flows through it.
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As muscle contracts, the overlap between the thin and thick filaments increases, decreasing the length of the sarcomere—the contractile unit of the muscle—using energy in the form of ATP. At the molecular level, this is a cyclic, multistep process that involves binding and hydrolysis of ATP, and movement of actin by myosin.
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Related Experiment Video

Updated: Feb 5, 2026

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
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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
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PubMed
Summary

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.

Keywords:
Cancer markerCancer profilingCastrate resistant prostate cancerPancreatic cancerSystems oncology

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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.