To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3, 9q31.1) and one for endometrioid EOC (5q12.3). We then meta-analysed the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified an additional three loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a novel susceptibility gene for low grade/borderline serous EOC.

Importance Cytotoxic CD8+ T lymphocytes (TILs) participate in immune control of ovarian cancer; however, little is known about prognostic patterns of CD8+ TILs by histotype and in relation to other clinical factors. Objective To define the prognostic role of CD8+ TILs in epithelial ovarian cancer. Design Prospective survival cohort. Setting Multi-center observational. Participants Over 5,500 patients, including 3,196 high-grade serous ovarian carcinomas (HGSOCs), followed prospectively for over 24,650 person-years. Exposure(s) Following immunohistochemistry, CD8+ TILs were identified within the epithelial components of tumor islets. Patients were grouped based on the estimated number of CD8+ TILs per high-powered field: negative (none), low (1–2), moderate (3–19), and high (≥20). CD8+ TILs in a subset of patients were also assessed in a quantitative, uncategorized manner, and the functional form of associations with survival was assessed using penalized B-splines. Main Outcome Measure(s) Overall survival time. Results Among the five major invasive histotypes, HGSOCs showed the most infiltration. CD8+ TILs in HGSOCs were significantly associated with longer overall survival; median survival was 2.8 years for patients with no CD8+ TILs and 3.0 years, 3.8 years, and 5.1 years for patients with low, moderate, or high levels of CD8+ TILs, respectively (p-trend=4.2 × 10−16). A survival benefit was also observed among women with endometrioid and mucinous carcinomas, but not the other histotypes. Among HGSOCs, CD8+ TILs were favorable regardless of extent of residual disease following cytoreduction, known standard treatment, and germline BRCA1 pathogenic mutation, but were not prognostic for BRCA2 mutation carriers. Evaluation of uncategorized CD8+ TIL counts showed a near linear functional form. Conclusions and Relevance This study demonstrates the histotype-specific nature of immune infiltration and provides definitive evidence for a dose-response relationship between CD8+ TILs and HGSOC survival. That the extent of infiltration is prognostic, not merely its presence or absence, suggests that understanding factors which drive infiltration will be key to unravelling outcome heterogeneity in this cancer.

This study determines vancomycin (VAN) population pharmacokinetics (PK) in adult patients with hematological malignancies. VAN serum concentration data (n ‫؍‬ 1,004) from therapeutic drug monitoring were collected retrospectively from 215 patients. A one-compartment PK model was selected. VAN pharmacokinetics population parameters were generated using the NONMEM program. A graphic approach and stepwise generalized additive modeling were used to elucidate the preliminary relationships between PK parameters and clinical covariates analyzed. Covariate selection revealed that total body weight (TBW) affected V, whereas renal function, estimated by creatinine clearance, and a diagnosis of acute myeloblastic leukemia (AML) influenced VAN clearance. We propose one general and two AML-specific models. The former was defined by CL (liters/h) ‫؍‬ 1.08 ؋ CL CR(Cockcroft and Gault) (liters/h); CV CL ‫؍‬ 28.16% and V (liters) ‫؍‬ 0.98 ؋ TBW; CV V ‫؍‬ 37.15%. AML models confirmed this structure but with a higher clearance coefficient (1.17). The a priori performance of the models was evaluated in another 59 patients, and clinical suitability was confirmed. The models were fairly accurate, with more than 33% of the measured concentrations being within ؎20% of the predicted value. This therapeutic precision is twofold higher than that of a noncustomized population model (16.1%). The corresponding standardized prediction errors included zero and a standard deviation close to unity. The models could be used to estimate appropriate VAN dosage guidelines, which are not clearly defined for this high-risk population. Their simple structure should allow easy implementation in clinical software and application in dosage individualization using the Bayesian approach.

A methotrexate population pharmacokinetic model has been developed for ALL children. The proposed model could be used in Bayesian algorithms with a limited sampling strategy to estimate the systemic exposure of individual patients to methotrexate and adapt both folinic acid rescue and methotrexate dosing accordingly.

Recent reports have shown that mutations in the FANCJ/BRIP1 and FANCN/PALB2 Fanconi Anemia (FA) genes confer a moderate breast cancer risk. Discussion has been raised on the phenotypic characteristics of the PALB2-associated families and tumors. The role of FANCB in breast cancer susceptibility has not been tested to date. Likewise PALB2 mutation frequency has not been studied in Spanish population. We analyzed the complete coding sequence and splicing sites of FANCB and PALB2 in 95 index cases of BRCA1/2-negative Spanish breast cancer families. We also performed an exhaustive screening of three previously described rare but recurrent PALB2 mutations in 725 additional probands. Pathogenic changes were not detected in FANCB. We found a novel PALB2 truncating mutation c.1056_1057delGA (p.K353IfsX7) in one of the 95 screened patients, accounting for a mutation frequency of 1% in our series. Further comprehensive screening of the novel mutation and of previously reported rare but recurrent PALB2 mutations did not reveal any carrier patient. We report the first example of LOH occurring in a PALB2-associated tumor. Our results rule out a major contribution of FANCB to hereditary breast cancer. Our data are consistent with the notion of individually rare PALB2 mutations, lack of mutational hot-spots in the gene and existence of between-population disease-allele heterogeneity. We show evidence that PALB2 loss of function might also conform to the inactivation model of a classic tumor-suppressor gene and present data that adds to the clinically relevant discussion about the existence of a PALB2-breast cancer phenotype.

Aim To evaluate the effectiveness and safety of tofacitinib in ulcerative colitis [UC] in real life. Methods Patients from the prospectively maintained ENEIDA registry and treated with tofacitinib due to active UC were included. Clinical activity and effectiveness were defined based on Partial Mayo Score [PMS]. Short-term response/remission was assessed at Weeks 4, 8, and 16. Results A total of 113 patients were included. They were exposed to tofacitinib for a median time of 44 weeks. Response and remission at Week 8 were 60% and 31%, respectively. In multivariate analysis, higher PMS at Week 4 (odds ratio [OR] = 0].2; 95% confidence interval [CI] = 0].1–0.4) was the only variable associated with lower likelihood of achieving remission at Week 8. Higher PMS at Week 4 [OR = 0.5; 95% CI = 0.3–0.7] and higher PMS at Week 8 [OR = 0.2; 95% CI = 0.1–0.5] were associated with lower probability of achieving remission at Week 16. A total of 45 patients [40%] discontinued tofacitinib over time. Higher PMS at Week 8 was the only factor associated with higher tofacitinib discontinuation [hazard ratio = 1.5; 95% CI = 1.3–1.6]. A total of 34 patients had remission at Week 8; of these, 65% had relapsed 52 weeks after achieving remission; the dose was increased to 10 mg/12 h in nine patients, and five of them reached remission again. Seventeen patients had adverse events. Conclusions Tofacitinib is effective and safe in UC patients in real practice, even in a highly refractory cohort. A relevant proportion of patients discontinue the drug over time, mainly due to primary failure.

IntroductionBreast cancer subtypes exhibit different genomic aberration patterns with a tendency for high-level amplifications in distinct chromosomal regions. These genomic aberrations may drive carcinogenesis through the upregulation of proto-oncogenes. We have characterized DNA amplification at the human chromosomal region 13q34 in breast cancer.MethodsA set of 414 familial and sporadic breast cancer cases was studied for amplification at region 13q34 by fluorescence in situ hybridization (FISH) analysis on tissue microarrays. Defining the minimal common region of amplification in those cases with amplification at 13q34 was carried out using an array-based comparative genomic hybridization platform. We performed a quantitative real-time - polymerase chain reaction (qRT-PCR) gene expression analysis of 11 candidate genes located within the minimal common region of amplification. Protein expression levels of two of these genes (TFDP1 and CUL4A) were assessed by immunohistochemical assays on the same tissue microarrays used for FISH studies, and correlated with the expression of a panel of 33 antibodies previously analyzed.ResultsWe have found 13q34 amplification in 4.5% of breast cancer samples, but the frequency increased to 8.1% in BRCA1-associated tumors and to 20% in basal-like tumors. Tumors with 13q34 amplification were associated with high grade, estrogen receptor negativity, and expression of EGFR, CCNE, CK5, and P-Cadherin, among other basal cell markers. We have defined a 1.83 megabases minimal common region of genomic amplification and carried out mRNA expression analyses of candidate genes located therein, identifying CUL4A and TFDP1 as the most likely target genes. Moreover, we have confirmed that tumors with 13q34 amplification significantly overexpress CUL4A and TFDP1 proteins. Tumors overexpressing either CUL4A or TFDP1 were associated with tumor proliferation and cell cycle progression markers.ConclusionsWe conclude that 13q34 amplification may be of relevance in tumor progression of basal-like breast cancers by inducing overexpression of CUL4A and TFDP1, which are both important in cell cycle regulation. Alternatively, as these genes were also overexpressed in non-basal-like tumor samples, they could play a wider role in cancer development by inducing tumor proliferation.

Background: Median overall survival (OS) for women with high-grade serous ovarian cancer (HGSOC) is ~4 years, yet survival varies widely between patients. There are no well-established, gene expression signatures associated with prognosis. The aim of this study was to develop a robust prognostic signature for OS in patients with HGSOC. Patients and methods: Expression of 513 genes, selected from a meta-analysis of 1455 tumours and other candidates, was measured using NanoString technology from formalin-fixed paraffin-embedded tumour tissue collected from 3769 women with HGSOC from multiple studies. Elastic net regularization for survival analysis was applied to develop a prognostic model for 5-year OS, trained on 2702 tumours from 15 studies and evaluated on an independent set of 1067 tumours from six studies. Results: Expression levels of 276 genes were associated with OS (false discovery rate < 0.05) in covariate-adjusted single-gene analyses. The top five genes were TAP1, ZFHX4, CXCL9, FBN1 and PTGER3 ( P < 0.001). The best performing prognostic signature included 101 genes enriched in pathways with treatment implications. Each gain of one standard deviation in the gene expression score conferred a greater than twofold increase in risk of death [hazard ratio (HR) 2.35, 95% confidence interval (CI) 2.02–2.71; P < 0.001]. Median survival [HR (95% CI)] by gene expression score quintile was 9.5 (8.3 to –), 5.4 (4.6–7.0), 3.8 (3.3–4.6), 3.2 (2.9–3.7) and 2.3 (2.1–2.6) years. Conclusion: The OTTA-SPOT (Ovarian Tumor Tissue Analysis consortium - Stratified Prognosis of Ovarian Tumours) gene expression signature may improve risk stratification in clinical trials by identifying patients who are least likely to achieve 5-year survival. The identified novel genes associated with the outcome may also yield opportunities for the development of targeted therapeutic approaches.