Search

The Department of Defense Serum Repository (DODSR) represents a unique resource enabling longitudinal studies of cancer risk, progression, and response to therapy. The DODSR was initiated in 1989, initially as a means for HIV surveillance, and is comprised of serum samples from active and reserve military personnel drawn at enlistment and annually or biennially throughout the service members' participation in the Military Health System, accompanied by the service member’s electronic health records. This enables the identification of serum samples for all service members with a particular diagnosis, such as Head and Neck Squamous Cell Carcinoma (HNSCC), a cancer significantly represented in the military population with substantial impact on military operations. For HNSCC, 175 cases diagnosed between 2003 and 2013 were identified, as well as 175 corresponding healthy controls matched for age at the time of diagnosis, gender, and ethnicity. Serum samples drawn at the time of diagnosis, 2 and 4 years prior to diagnosis, and 2 years after diagnosis were retrieved and analyzed by targeted mass spectrometry analysis using a panel of 148 qualified selected reaction monitoring (SRM) assays selected from the curated literature and discussions with military oncologists at the Murtha Cancer Center. Initial analyses of 212 samples (38 cases and 38 matched controls, each with 2-4 longitudinal samples) from the total 978 samples available focused on comparisons of pre-diagnosis and at diagnosis serum proteins. Preliminary results identified proteins that were differentially abundant between serum samples taken from HNSCC cases at the time of diagnosis, compared to age-matched controls. Proteins such as A2GL displayed a trend of gradually increasing abundance as a function of time to diagnosis, in HNSC cases, suggesting behavior that may be proven useful for early detection of HNSCC, prior to overt symptoms. These preliminary results suggest that the DODSR can be used to provide serum samples of sufficiently high quality for extensive proteomic analysis, and form cohorts sufficiently large to enable meaningful statistics. Access to longitudinal samples representing years prior to diagnosis enables the identification of serum factors that predict the risk of cancer and may also enable early diagnosis. Access to post-treatment serum samples accompanied with data indicating the clinical response to treatment enables the development of algorithms predicting response to treatment and may eventually contribute to the selection of appropriate therapies. Citation Format: Ju Yeon Lee, Tujin Shi, Vladislav Petyuk, Athena Schepmoes, Thomas Fillmore, Wayne Cardoni, George Coppit, Joseph Goodman, Shiv Srivastava, Craig Shriver, Tao Liu, Karin Rodland. Use of longitudinal samples from the DOD serum repository to identify candidate biomarkers for HNSCC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 440.

Introduction: Although many (~40%) of the screen-detected prostate cancers are indolent (Gleason Score Material and Methods: To identify a panel of protein markers that could predict prostate cancer progression, we developed ultra-sensitive, high-pressure, high-resolution separations coupled with intelligent selection and multiplexing-selected reaction monitoring (PRISM-SRM) assays for 52 protein markers. Candidate protein markers were identified and selected from existing prostate cancer genomics data sets and validated lists of known prostate cancer drivers. The PRISM-SRM assays used heavy isotope-labeled synthetic peptides as internal standards for quantitative proteomics analysis. Study comprised of a prostate cancer patient cohort with organ confined primary tumors (N=338) presenting following post-surgery features: 53 (15.7%) metastatic progression, 124 (36.7%) biochemical recurrence (BCR), and 161 (47.6%) no progression after more than ten years of follow-up after radical prostatectomy. Index tumor region for each case was scraped from representative 10-m sections of formalin-fixed paraffin embedded (FFPE)-whole-mounted prostatectomy specimens and processed for PRISM-SRM analysis. Results: Overall, PRISM-SRM analysis of the FFPE tissue samples enabled the detection of 42 (80.8%) out of 52 biomarker candidates; in comparison regular LC-SRM without the front-end chromatographic enrichment could detect only 21 (40.4%) of these candidates at the protein level. Kruskal-Wallis testing was used for statistical evaluation of the PRISM-SRM results and comparison of relative protein levels between the “no progression”, BCR and “metastatic progression” groups. Several prostate differentiation/androgen receptor signaling related proteins (FOLH1, PSA and NCOA) and tumor progression-related proteins (TGFB1, CCND1 and SPRC) had significantly different expression levels between the three groups, and showed initial promise in predicting progression to invasive cancer, BCR and metastasis. Conclusion: Ultra-sensitive targeted proteomics can be used to select and verify performance of early prognostic markers based on the analysis of prostatectomy specimens. The top performing markers appeared able to predict progression from organ confined cancer to BCR and metastasis. Citation Format: Yuqian Gao, Yi-Ting Wang, Hui Wang, Denise Young, Jennifer Cullen, Yingjie Song, Yongmei Chen, Athena Schepmoes, Gyorgy Petrovics, Thomas Fillmore, Tujin Shi, Wei-Jun Qian, Richard Smith, Sudhir Srivastava, Jacob Kagan, Albert Dobi, Inger Rosner, Karin Rodland, Isabell Sesterhenn, Shiv Srivastava, Tao Liu. Identification of candidate biomarkers for aggressive prostate cancer using targeted proteomics and FFPE tissue samples with outcomes data [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3165.