Genome-wide meta-analysis identifies variants associated with platinating agent susceptibility across populations.

Platinating agents are used in the treatment of many cancers, yet they can induce toxicities and resistance that limit their utility. Using previously published and additional world population panels of diverse ancestry totaling 608 lymphoblastoid cell lines (LCLs), we performed meta-analyses of over 3 million single-nucleotide polymorphisms (SNPs) for both carboplatin- and cisplatin-induced cytotoxicity. The most significant SNP in the carboplatin meta-analysis is located in an intron of NBAS (neuroblastoma amplified sequence; P=5.1 × 10(-7)). The most significant SNP in the cisplatin meta-analysis is upstream of KRT16P2 (P=5.8 × 10(-7)). We also show that cisplatin-susceptibility SNPs are enriched for carboplatin-susceptibility SNPs. Most of the variants that associate with platinum-induced cytotoxicity are polymorphic across multiple world populations; therefore, they could be tested in follow-up studies in diverse clinical populations. Seven genes previously implicated in platinating agent response, including BCL2 (B-cell CLL/lymphoma 2), GSTM1 (glutathione S-transferase mu 1), GSTT1, ERCC2 and ERCC6, were also implicated in our meta-analyses.

Heritable and non-genetic factors as variables of pharmacologic phenotypes in lymphoblastoid cell lines.

Publicly available genetic and expression data on lymphoblastoid cell lines (LCLs) make them a unique resource for understanding the genetic underpinnings of pharmacological outcomes and disease. LCLs have been used for pharmacogenomic discovery and validation of clinical findings associated with drug response. However, variation in cellular growth rate, baseline Epstein-Barr virus (EBV) copy number and ATP levels can all be confounders in such studies. Our objective is to better define confounding variables that affect pharmacological end points in LCLs. To this end, we evaluated the effect of these three variables on drug-induced cytotoxicity in LCLs. The drugs evaluated included daunorubicin, etoposide, carboplatin, cisplatin, cytarabine, pemetrexed, 5'-deoxyfluorouridine, vorinostat, methotrexate, 6-mercaptopurine, and 5-fluorouracil. Baseline ATP or EBV copy number were not significantly correlated with cellular growth rate or drug-induced cytotoxicity. In contrast, cellular growth rate and drug-induced cytotoxicity were significantly, directly related for all drugs except vorinostat. Importantly, cellular growth rate is under appreciable genetic influence (h²=0.30-0.39) with five suggestive linkage regions across the genome. Not surprisingly, a percentage of SNPs that significantly associate with drug-induced cytotoxicity also associate with cellular growth rate (P ≤ 0.0001). Studies using LCLs for pharmacologic outcomes should therefore consider that a portion of the genetic variation explaining drug-induced cytotoxicity is mediated via heritable effects on growth rate.

Integrating cell-based and clinical genome-wide studies to identify genetic variants contributing to treatment failure in neuroblastoma patients.

High-risk neuroblastoma is an aggressive malignancy, with high rates of treatment failure. We evaluated genetic variants associated with in vitro sensitivity to two derivatives of cyclophosphamide for association with clinical response in a separate replication cohort of neuroblastoma patients (n = 2,709). To determine sensitivity, lymphoblastoid cell lines (LCLs) were exposed to increasing concentrations of 4-hydroperoxycyclophosphamide (4HC; n = 422) and phosphoramide mustard (PM; n = 428). Genome-wide association studies were performed to identify single-nucleotide polymorphisms (SNPs) associated with sensitivity to 4HC and PM. SNPs consistently associated with LCL sensitivity were analyzed for associations with event-free survival (EFS) in patients. Two linked SNPs, rs9908694 and rs1453560, were found to be associated with (i) sensitivity to PM in LCLs across populations and (ii) EFS in all patients (P = 0.01) and within the high-risk subset (P = 0.05). Our study highlights the value of cell-based models to identify candidate variants that may predict response to treatment in patients with cancer.

The psychiatric screening clinic at a VA hospital: making it work.

A psychiatric crisis and screening clinic in a general medical and surgical hospital has expanded psychiatric treatment available to general medical patients and has eliminated overcrowding on the psychiatry service. The authors describe admissions procedures and problems that existed before the clinic was developed and ways clinic staff found to deal with the bureaucracy, which include promoting personal responsibility for patient care. The clinic has met its initial goal of decreasing the amount of time patients have to wait for their first contact with professional staff. Feedback from wards indicates that staff have been successful in making appropriate dispositions.