Journal article
Biobehavioral factors predict an exosome biomarker of ovarian carcinoma disease progression
Cancer, Vol.128(23), pp.4157-4165
10/17/2022
DOI: 10.1002/cncr.34496
PMCID: PMC9744596
PMID: 36251340
Abstract
BACKGROUND Biobehavioral factors such as social isolation and depression have been associated with disease progression in ovarian and other cancers. Here, the authors developed a noninvasive, exosomal RNA profile for predicting ovarian cancer disease progression and subsequently tested whether it increased in association with biobehavioral risk factors. METHODS Exosomes were isolated from plasma samples from 100 women taken before primary surgical resection or neoadjuvant (NACT) treatment of ovarian carcinoma and 6 and 12 months later. Biobehavioral measures were sampled at all time points. Plasma from 76 patients was allocated to discovery analyses in which morning presurgical/NACT exosomal RNA profiles were analyzed by elastic net machine learning to identify a biomarker predicting rapid (≤6 months) versus more extended disease-free intervals following initial treatment. Samples from a second subgroup of 24 patients were analyzed by mixed-effects linear models to determine whether the progression-predictive biomarker varied longitudinally as a function of biobehavioral risk factors (social isolation and depressive symptoms). RESULTS An RNA-based molecular signature was identified that discriminated between individuals who had disease progression in ≤6 months versus >6 months, independent of clinical variables (age, disease stage, and grade). In a second group of patients analyzed longitudinally, social isolation and depressive symptoms were associated with upregulated expression of the disease progression propensity biomarker, adjusting for covariates. CONCLUSION These data identified a novel exosome-derived biomarker indicating propensity of ovarian cancer progression that is sensitive to biobehavioral variables. This derived biomarker may be potentially useful for risk assessment, intervention targeting, and treatment monitoring.
Details
- Title: Subtitle
- Biobehavioral factors predict an exosome biomarker of ovarian carcinoma disease progression
- Creators
- Susan K Lutgendorf - University of IowaPremal H Thaker - Washington University in St. LouisMichael J Goodheart - University of IowaJesusa M G Arevalo - University of California, Los AngelesMamur A Chowdhury - The University of Texas MD Anderson Cancer CenterAlyssa E Noble - University of IowaLaila Dahmoush - University of IowaGeorge M Slavich - Cousins Center for Psychoneuroimmunology University of California, Los Angeles Los Angeles California USAFrank J Penedo - Sylvester Comprehensive Cancer CenterAnil K Sood - The University of Texas MD Anderson Cancer CenterSteven W Cole - University of California, Los Angeles
- Resource Type
- Journal article
- Publication Details
- Cancer, Vol.128(23), pp.4157-4165
- DOI
- 10.1002/cncr.34496
- PMID
- 36251340
- PMCID
- PMC9744596
- NLM abbreviation
- Cancer
- ISSN
- 0008-543X
- eISSN
- 1097-0142
- Language
- English
- Date published
- 10/17/2022
- Academic Unit
- Psychological and Brain Sciences; Pathology; Iowa Neuroscience Institute; Obstetrics and Gynecology; Urology
- Record Identifier
- 9984306360302771
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