Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Environment and bladder cancer: molecular analysis by interaction networks.

Andrea Polo1, Anna Crispo1, Pellegrino Cerino2

  • 1Epidemiology Unit, Istituto Nazionale Tumori "Fondazione G. Pascale", IRCCS, Napoli, Italia.

Oncotarget
|October 15, 2017
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Fibromyalgia in cancer patients: a systematic review and clinical implications for integrated care.

Frontiers in pain research (Lausanne, Switzerland)·2026
Same author

Standardized workflow enables reproducibility of drug synergism detection: Results from a multi-center in vitro ring test on complex drug combinations in pancreatic cancer models.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026
Same author

Feasibility Assessment of Telehealth-Based Cancer Pain Management Through Machine Learning: A Prospective Clinical Study.

Pain research & management·2026
Same author

Cancer in migrant populations: evidence from a regional oncology network.

BMC public health·2026
Same author

Dual inhibition of mTOR and HSP90 enhances cisplatin efficacy and overcomes resistance in ovarian cancer.

Cell death & disease·2026
Same author

Correction: Adopting machine learning to predict breast cancer patients adherence with lifestyle recommendations and quality of life outcomes.

Frontiers in digital health·2026

This study identifies key genes and proteins involved in bladder cancer (BC) development linked to environmental factors and arsenic exposure. These findings highlight potential new biomarkers for early BC detection and treatment strategies.

Area of Science:

  • Oncology
  • Environmental Health
  • Bioinformatics

Background:

  • Bladder cancer (BC) is a significant global health concern, ranking as the 9th most common cancer worldwide and 6th in men.
  • BC development is multifactorial, influenced by chronic inflammation, genetic predisposition, smoking, occupational hazards, and environmental pollutants.

Purpose of the Study:

  • To computationally identify a gene/protein sub-network modulated by environmental or arsenic exposure in bladder cancer.
  • To uncover potential molecular targets and biomarkers for bladder cancer associated with environmental factors.

Main Methods:

  • Utilized computational network approaches to analyze gene/protein interactions in bladder cancer.
  • Performed data-mining analysis to assess the impact of identified network hubs on patient survival.
Keywords:
arsenicalsbladder cancerenvironmental exposurenetwork analysis

Related Experiment Videos

Main Results:

  • Identified crucial HUB nodes in networks related to 'BC and environment' and 'BC and arsenicals'.
  • These HUB nodes showed correlation with circadian genes and were targeted by specific microRNAs (miRNAs) implicated in BC.
  • Data mining revealed specific genes/proteins and mutations influenced by these HUB nodes, impacting survival.

Conclusions:

  • Environmental and arsenic exposures significantly modulate specific gene/protein networks in bladder cancer.
  • Circadian gene correlations and miRNA targeting of HUB nodes suggest their critical role in BC pathogenesis.
  • Identified genes/proteins warrant further investigation as potential biomarkers for bladder cancer development and prognosis.