Harnessing citizen science through mobile phone technology to screen for immunohistochemical biomarkers in bladder cancer.

ABSTRACT:

Background

Immunohistochemistry (IHC) is often used in personalisation of cancer treatments. Analysis of large data sets to uncover predictive biomarkers by specialists can be enormously time-consuming. Here we investigated crowdsourcing as a means of reliably analysing immunostained cancer samples to discover biomarkers predictive of cancer survival.

Methods

We crowdsourced the analysis of bladder cancer TMA core samples through the smartphone app 'Reverse the Odds'. Scores from members of the public were pooled and compared to a gold standard set scored by appropriate specialists. We also used crowdsourced scores to assess associations with disease-specific survival.

Results

Data were collected over 721 days, with 4,744,339 classifications performed. The average tim

SUBMITTER: Smittenaar P 

PROVIDER: S-EPMC6048059 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature