This study reports on the development of a novel serum protein panel of three prostate cancer biomarkers, Filamin A, Filamin B and Keratin-19 (FLNA, FLNB and KRT19) using multivariate models for disease screening and prognosis. ELISA and IPMRM (LC-MS/MS) based assays were developed and analytically validated by quantitative measurements of the biomarkers in serum. Retrospectively collected and clinically annotated serum samples with PSA values and Gleason scores were analyzed from subjects who underwent prostate biopsy, and showed no evidence of cancer with or without indication of prostatic hyperplasia, or had a definitive pathology diagnosis of prostatic adenocarcinoma. Probit linear regression models were used to combine the analytes into score functions to address the following clinical questions: does the biomarker test augment PSA for population screening? Can aggressive disease be differentiated from lower risk disease, and can the panel discriminate between prostate cancer and benign prostate hyperplasia? Modelling of the data showed that the new prostate biomarkers and PSA in combination were better than PSA alone in identifying prostate cancer, improved the prediction of high and low risk disease, and improved prediction of cancer versus benign prostate hyperplasia.

Prostate-specific antigen (PSA) screening for prostate cancer (PCa) is limited by the lack of specificity but is further complicated in the benign prostatic hyperplasia (BPH) population which also exhibit elevated PSA, representing a clear unmet need to distinguish BPH from PCa. Herein, we evaluated the utility of FLNA IP-MRM, age, and prostate volume to stratify men with BPH from those with PCa. Diagnostic performance of the biomarker panel was better than PSA alone in discriminating patients with negative biopsy from those with PCa, as well as those who have had multiple prior biopsies (AUC 0.75 and 0.87 compared to AUC of PSA alone 0.55 and 0.57 for patients who have had single compared to multiple negative biopsies, respectively). Of interest, in patients with PCa, the panel demonstrated improved performance than PSA alone in those with Gleason scores of 5–7 (AUC 0.76 vs. 0.56) and Gleason scores of 8–10 (AUC 0.74 vs. 0.47). With Gleason scores (8–10), the negative predictive value of the panel is 0.97, indicating potential to limit false negatives in aggressive cancers. Together, these data demonstrate the ability of the biomarker panel to perform better than PSA alone in men with BPH, thus preventing unnecessary biopsies.

Purpose Chemotherapy-induced alopecia (CIA) negatively affects psychosocial health and quality of life (QoL). Currently, there are no approved pharmacologic agents to prevent CIA. Here, we evaluated the safety, tolerability, and potential signal of efficacy of topical calcitriol (BPM31543) on CIA prevention. Materials and methods This Phase 1 trial included 23 female patients with breast cancer, gynecologic cancer, or sarcomas receiving a taxane-based chemotherapy. Patients received a 3 + 3 dose-escalation regimen at 5, 10, 20, 40, 60, and 80 μg/mL, with 3-6 patients per group. Patients applied topical BPM31543 to the scalp twice a day for 2 weeks prior to chemotherapy and continued until chemotherapy treatment was completed. The maximum tolerated dose (MTD) during first 28 day application was determined. Adverse event (AE) monitoring, pharmacokinetics, blinded photographic assessments, and patient self-assessment were evaluated. Results Out of 23 patients treated with BPM31543, 8 patients experienced at least 1 treatment-related adverse event (AE). The majority of AEs were mild to moderate in severity. Only 1 patient experienced SAEs (vomiting, nausea, fever, and flank pain) considered treatment related. Alopecia < 50% from baseline was observed in 8 patients at Week 7, and, of which 2 patients had < 50% alopecia maintained at Week 15. There were no detectable effects of topical BPM31543 on serum levels of calcitriol. Conclusions BPM31543 applied topically twice daily to the scalp is safe and well tolerated in patients receiving taxanebased chemotherapy. No DLT was observed at up to 80 µg/mL, and MTD was not reached. Based on the data from this trial, BPM31543 represents a promising therapy and warrants further investigation in Phase 2/3 trials.

Parkinson’s disease is a progressive neurodegenerative disorder in which loss of dopaminergic neurons in the substantia nigra results in a clinically heterogeneous group with variable motor and non-motor symptoms with a degree of misdiagnosis. Only 3-5% of sporadic Parkinson’s patients present with genetic abnormalities, thus environmental, metabolic, and other unknown causes contribute to the pathogenesis of Parkinson’s disease, which highlights the critical need for biomarkers. There could be a significant clinical benefit to treating Parkinson’s disease at the earliest stage and identify at-risk populations once disease-modifying treatments are available. In the present study, we prospectively collected and analyzed plasma samples from 201 Parkinson’s disease patients and 199 age-matched non-diseased controls. Multiomic and Bayesian artificial intelligence analysis of molecular and clinical data identified the diagnostic utility of N-acetyl putrescine (NAP) in combination with smell (B-SIT), depression/anxiety (HADS), and acting out dreams (RBD1Q) clinical measurements. The clinical and biomarker panel demonstrated an area under the curve, AUC = 0.9, positive predictive value, PPV=0.91, and negative predictive value, NPV=0.66 utilizing all four variables. The assessed diagnostic panel demonstrates combinatorial utility in diagnosing Parkinson’s disease, allowing for an integrated interpretation of disease pathophysiology and highlighting the use of multi-tiered panels in neurological disease diagnosis.

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