John F. Timms

ORCID: 0000-0002-4507-835X · 6 papers in corpus
2025
Cancers ·doi:10.3390/cancers17243972

Background: Ovarian cancer is characterized by high mortality rates, primarily due to diagnosis at late stages. Current biomarkers, such as CA125, have demonstrated limited efficacy for early detection. While high-dimensional proteomics off…

2020
British journal of cancer ·doi:10.1038/s41416-019-0718-9

BackgroundOvarian cancer has a poor survival rate due to late diagnosis and improved methods are needed for its early detection. Our primary objective was to identify and incorporate additional biomarkers into longitudinal models to improve…

2020
Cancers ·doi:10.3390/cancers12071931

Longitudinal CA125 algorithms are the current basis of ovarian cancer screening. We report on longitudinal algorithms incorporating multiple markers. In the multimodal arm of United Kingdom Collaborative Trial of Ovarian Cancer Screening (U…

other 2019
Clinical proteomics ·doi:10.1186/s12014-019-9235-3

BACKGROUND: Endometriosis is a common gynaecological disorder affecting 5-10% of women of reproductive age who often experience chronic pelvic pain and infertility. Definitive diagnosis is through laparoscopy, exposing patients to potential…

dataset 2019
·doi:10.6084/m9.figshare.7963346

Additional file 2. Results of TMT-based LC-MS/MS profiling with candidate scoring.

2014
Proteomics. Clinical applications ·doi:10.1002/prca.201400063

PurposeOvarian cancer is a devastating disease and biomarkers for its early diagnosis are urgently required. Serum may be a valuable source of biomarkers that may be revealed by proteomic profiling. Herein, complementary serum protein profi…