Citations

Background: Diabetes is a risk factor associated with pancreatic ductal adenocarcinoma (PDAC), and new adult-onset diabetes can be an early sign of pancreatic malignancy. Development of blood-based biomarkers to identify diabetic patients who warrant imaging tests for cancer detection may represent a realistic approach to facilitate earlier diagnosis of PDAC in a risk population. Methods: A spectral library-based proteomic platform was applied to interrogate biomarker candidates in plasma samples from clinically well-defined diabetic cohorts with and without PDAC. Random forest algorithm was used for prediction model building and receiver operating characteristic (ROC) curve analysis was applied to evaluate the prediction probability of potential biomarker panels. Results: Several biomarker panels were cross-validated in the context of detection of PDAC within a diabetic background. In combination with carbohydrate antigen 19-9 (CA19-9), the panel, which consisted of apolipoprotein A-IV (APOA4), monocyte differentiation antigen CD14 (CD14), tetranectin (CLEC3B), gelsolin (GSN), histidine-rich glycoprotein (HRG), inter-alpha-trypsin inhibitor heavy chain H3 (ITIH3), plasma kallikrein (KLKB1), leucine-rich alpha-2-glycoprotein (LRG1), pigment epithelium-derived factor (SERPINF1), plasma protease C1 inhibitor (SERPING1), and metalloproteinase inhibitor 1 (TIMP1), demonstrated an area under curve (AUC) of 0.85 and a two-fold increase in detection accuracy compared to CA19-9 alone. The study further evaluated the correlations of protein candidates and their influences on the performance of biomarker panels. Conclusions: Proteomics-based multiplex biomarker panels improved the detection accuracy for diagnosis of early stage PDAC in diabetic patients.

Background: Brugada syndrome (BrS) is an oligogenic arrhythmic disease with increased risk of sudden cardiac arrest. Several BrS or ECG traits-related single-nucleotide polymorphisms (SNPs) were identified through previous genome-wide association studies in white patients. We aimed to validate these SNPs in BrS patients in the Taiwanese population, assessing the cumulative effect of risk alleles and the BrS-polygenic risk score in predicting cardiac events. Methods: We genotyped 190 unrelated BrS patients using the TWB Array, and Taiwan Biobank was used as controls. SNPs not included in the array were imputed by IMPUTE2. Cox proportional hazards model was used to evaluate the associations between each particular SNP, the collective BrS-polygenic risk score, and clinical outcomes. Results: Of the 88 previously reported SNPs, 22 were validated in Taiwanese BrS patients ( P <0.05). Of the 22 SNPs, 2 (rs10428132 and rs9388451) were linked with susceptibility to BrS, 10 were SNPs previously reaching genome-wide significance, and 10 were SNPs associated with ECG traits. For the 3 most commonly reported SNPs, disease risk increased consistently with the number of risk alleles (odds ratio, 3.54; P trend =1.38×10 −9 for 5 risk alleles versus 1). Similar patterns were observed in both SCN5A mutation+ (odds ratio, 3.66; P trend =0.049) and SCN5A mutation− (odds ratio, 3.75; P trend =8.54×10 −9 ) subgroups. Furthermore, BrS patients without SCN5A mutations had more risk alleles than BrS patients with SCN5A mutations regardless of the range of polygenic risk scores. Three SNPs (rs4687718, rs7784776, and rs2968863) showed significant associations with the composite outcome (sudden cardiac arrest plus syncope, hazard ratio, 2.13, 1.48, and 0.41; P =0.02, 0.006, and 0.008, respectively). Conclusions: Our findings suggested that some SNPs associated with BrS or ECG traits exist across multiple populations. The cumulative risk of the BrS-related SNPs is similar to that in white BrS patients, but it appears to correlate with the absence of SCN5A mutations.

Abstract Introduction: A new isodicentric variant of del(20q) was recently described; namely ider(20)(p11.2)del(20)(q11.2q13.3). The frequency and clinical significance of this anomaly are not yet established. This anomaly is usually missed in routine cytogenetic studies and the common commercial FISH probe, D20S108, does not distinguish between del(20q) and ider(20q). The goals of this study were to determine 1) the frequency and hematopathology of patients (pts) with ider(20q) and 2) the best cytogenetic methods to distinguish among various del(20q) anomalies. Methods: We selected 12 pts referred for chromosome studies with -20,+mar to look for evidence of ider(20q). For comparison, we also randomly selected 12 pts with classical del(20q). Up to 10 bone marrow metaphases were studied for each of these 24 pts using FISH with probes for 20pter, JAG1 (20p12), centromere 20, D20S108 (20q12) and 20qter. We also studied 200 interphase nuclei from each pt using D20S108 and 20qter probes. We reviewed cytogenetic results for a consecutive series of pts in our hematological practice between 9/1/05 and 12/31/05 to establish the frequency of ider(20q). Blood and marrow slides were available for microscopic evaluation in 9 of 12 pts. with ider(20q). Results: By metaphase FISH, each of the 12 pts with del(20q) were 20pter+, JAG1+, D20S108- and 20qter+ indicating an interstitial deletion. Each of the 12 pts with ider(20q) were 20pter-, JAG1-, D20S108-- and 20qter++ indicating an isodicentric chromosome with an interstitial del(20q) on either side of the centromere. The ider(20q) is best detected using probe for D20S108 and 20qter. By FISH each pt with ider(20q) had a mixture of cells with del(20q) and ider(20q), though cells with only del(20q) were not usually detected by chromosome studies. One pt had a subclone with two copies of ider(20q). Interphase FISH identified del(20q) and ider(20q) in each specimen. Hematopathology studies of 9 pts with ider(20q) indicated acute myeloid leukemia (AML) with multilineage dysplasia in 1 and myelodysplastic syndrome in 8 (refractory cytopenia with multilineage dysplasia (RCMD) in 3, RCMD with ringed sideroblasts in 3, atypical myelodysplastic/myeloproliferative disease in 1, and refractory anemia with excess blasts-2 (RAEB-2) in 1). Additional chromosome anomalies were detected in the pts with AML with multilineage dysplasia and RAEB-2. Six pts had dysgranulopoiesis in addition to dysmegakaryopoiesis and/or dyserythropoiesis. Among 5,744 pts in our hematological clinical practice screened by interphase FISH, ider(20q) was seen in 8, but 8 of 78 pts with del(20q) also had ider(20q). Discussion: In clinical practice ider(20q) is common in hematological disorders and occurs in 0.14% of all pts and in 10% of pts with del(20q). This figure may underestimate the true frequency of ider(20q) because novel FISH studies with D20S108 and 20qter are required to confirm its presence. When G-banding preparations indicate -20,+mar, then ider(20q) should be suspected. The literature is sparse but pts with ider(20q) appeared to have a more consistent presentation of multilineage dysplasia with additional involvement of the granulocytic series than pts with del(20q). These results suggest that it is helpful to distinguish among various forms of del(20q) in clinical practice using both chromosome and FISH studies with D20S108 and 20qter.

Abstract Purpose: The RAS/RAF/MEK/ERK signaling pathway is critical to the development of colorectal cancers, and KRAS, NRAS, and BRAF mutations foster resistance to radiation. We performed a phase I trial to determine the safety of trametinib, a potent MEK1/2 inhibitor, with 5-fluorouracil (5-FU) chemoradiation therapy (CRT) in patients with locally advanced rectal cancer (LARC). Patients and Methods: Patients with stage II/III rectal cancer were enrolled on a phase I study with 3+3 study design, with an expansion cohort of 9 patients at the MTD. Following a 5-day trametinib lead-in, with pre- and posttreatment tumor biopsies, patients received trametinib and CRT, surgery, and adjuvant chemotherapy. Trametinib was given orally daily at 3 dose levels: 0.5 mg, 1 mg, and 2 mg. CRT consisted of infusional 5-FU 225 mg/m2/day and radiation dose of 28 daily fractions of 1.8 Gy (total 50.4 Gy). The primary endpoint was to identify the MTD and recommended phase II dose. IHC staining for phosphorylated ERK (pERK) and genomic profiling was performed on the tumor samples. Results: Patients were enrolled to all dose levels, and 18 patients were evaluable for toxicities and responses. Treatment was well tolerated, and there was one dose-limiting toxicity of diarrhea, which was attributed to CRT rather than trametinib. At the 2 mg dose level, 25% had pathologic complete response. IHC staining confirmed dose-dependent decrease in pERK with increasing trametinib doses. Conclusions: The combination of trametinib with 5-FU CRT is safe and well tolerated, and may warrant additional study in a phase II trial, perhaps in a RAS/RAF-mutant selected population.

Abstract Vascular smooth muscle cells (VSMCs) in the normal arterial media continually express contractile phenotypic markers which are reduced dramatically in response to injury. Tripartite motif‐containing proteins are a family of scaffold proteins shown to regulate gene silencing, cell growth, and differentiation. We here investigated the biological role of tripartite motif‐containing 28 (TRIM28) and tripartite motif‐containing 27 (TRIM27) in VSMCs. We observed that siRNA‐mediated knockdown of TRIM28 and TRIM27 inhibited platelet‐derived growth factor (PDGF)‐induced migration in human VSMCs. Both TRIM28 and TRIM27 can regulate serum response element activity and were required for maintaining the contractile gene expression in human VSMCs. At the same time, TRIM28 and TRIM27 knockdown reduced the expression of PDGF receptor‐β (PDGFRβ) and the phosphorylation of its downstream signaling components. Immunoprecipitation showed that TRIM28 formed complexes with TRIM27 through its N‐terminal RING‐B boxes‐Coiled‐Coil domain. Furthermore, TRIM28 and TRIM27 were shown to be upregulated and mediate the VSMC contractile marker gene and PDGFRβ expression in differentiating human bone marrow mesenchymal stem cells. In conclusion, we identified that TRIM28 and TRIM27 cooperatively maintain the endogenous expression of PDGFRβ and contractile phenotype of human VSMCs.

205 Background: Metastatic prostate cancer (mPC) is treated with androgen deprivation therapy( ADT). Duration of response to ADT predicts patient’s survival. It has been shown in observational studies that concurrent statin use may prolong response to ADT. Studies in mice have shown negative interactions. We wanted to examine the effect of this interaction in patients being followed at Mayo Clinic Arizona (MCA). Methods: We examined 441 patients with mPC, who received ADT and were treated at MCA from year 2011 to 2017. . Our study evaluated the time to progression (TTP) and overall survival(OS) for patients with mPC on ADT with or without concurrent statin use. Among the patients who were evaluated, there was a subset of 156 patients taking abiraterone (ABI). Characteristics were compared between statin users and nonusers using Chi squared test and Wilcoxon rank-sum tests. The primary outcome was TTP defined as the duration from ADT initiation to disease progression. The association between statin use and TTP was analyzed by multivariable Cox regression to estimate hazard ratios (HRs) and 95% Conference Interval (CI), and adjusted for Gleason score, primary therapy type, prior ADT, metastatic status, and PSA at ADT initiation. Results: There was no significant difference in TTP when comparing patients with statin to those without a statin. The HR for statin use vs no statin use is 1.049 with CI (0.838, 1.314) and p-value is 0.677. There was no significant difference in overall survival when comparing statin vs no statin use. The HR for statin use vs no statin use was 0.928(CI 0.642, 1.342) with p-value at 0.693. In the ABI population, there was no significant difference in TTP for patients with statin vs no statin. HR was 1.00 CI (0.725, 1.377) with p-value at 0.998. For overall survival, there was no significant difference with HR at 0.852 (CI 0.502, 1.446) with p-value at 0.553. Conclusions: Despite retrospective studies showing benefit of use of statin in men with prostate cancer, our study observed no difference in long term outcomes. Possible explanations could be smaller sample size, inability to verify data as medication intake was not verified directly. Also, patient’s compliance with medications could be a confounding variable.

Abstract Eating disorders and substance use disorders frequently co‐occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [ r g ], twin‐based = 0.23‐0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome‐wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance‐use‐related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism‐based genetic correlations between eating disorder‐ and substance‐use‐related phenotypes. Significant positive genetic associations emerged between AUD and AN ( r g = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN ( r g = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating ( r g = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating ( r gs = −0.19 to −0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co‐varying for major depressive disorder loci. The patterns of association between eating disorder‐ and substance‐use‐related phenotypes highlights the potentially complex and substance‐specific relationships among these behaviors.

Background: Studying gene expression and clinical outcome data from 136 clinical trials for patients with cancer (~21,000 patients with 26 cancer types), we found CD25 as one of the strongest predictors of poor clinical outcome in patients with B-cell malignancies, but not in other cancer types. This was unexpected because CD25 is known as one of three chains of the IL2 receptor on T-cells and NK-cells. Interleukin-2 (IL2) functions as essential T-cell growth factor. IL2 signals through b- and g-, but not a-chains (CD25) of its heterotrimeric receptor. CD25-deficiency causes lymphoproliferation and autoimmunity, however, its mechanistic role is unclear. Results: Our experiments based on genetic mouse models and engineered patient-derived B-cell leukemia and lymphoma xenografts revealed that CD25 expressed on B-cells is not an IL2 receptor chain, but in fact binds downstream signaling molecules of the B-cell receptor (BCR). Through these interactions, CD25 mediates negative feedback to BCR signaling in response to antigen-encounter in normal B-cells. Defects in CD25-/-B-cells were not replicated in mice that express CD25 but lack expression of the IL2 cytokine. These findings demonstrate IL2-independent functions of CD25 in B-cells and B-cell derived leukemia and lymphoma. To comprehensively study the interactome of the short cytoplasmic tail of CD25, we performed proximity-dependent biotin identification (BioID). This analysis revealed that the CD25 tail exerts negative feedback control through recruitment of the PKCβ-scaffold RACK1 and the inhibitory phosphatase SHIP1 (see schematic, left). Interestingly, the cytoplasmic tail of CD25 harbors a PKCβ-substrate motif and mutation of a central serine residue (S268) to A268 compromised interactions with PKCβ, its scaffold RACK1 and SHIP1, demonstrating that feedback control was dependent on PKCβ-mediated phosphorylation of CD25-S268. A genetic observation in a family with monogenic autoimmunity confirmed the functional importance of the cytoplasmic CD25-tail motif: a mutation immediately preceding S268 compromised CD25-surface translocation, which was restored by homology-directed repair of the S268. In vitro kinase assay with 62 candidate kinases against recombinant cytoplasmic tail of CD25-S268 or -A268 identified PKCβ as top-ranking kinase hit for CD25-S268 but not CD25-A268. Our genetic studies revealed that PKCβ is required for cell-membrane translocation of CD25, but also transcriptional expression of CD25 via NF-κB activation. Therefore, PKCβ act as critical effector molecule downstream of CD25 to mediate B-cell selection during normal B-cell development and calibrate oncogenic BCR signaling in B-cell tumors. In B-cell malignancies, BCR-dependent survival and proliferation signals are often substituted by oncogenic BCR-mimics (e.g. BCR-ABL1, JAK2, BRAFV600E, LMP2A, CD79B mutations; see schematic, right). Accordingly, we identified CD25 surface-expression as biomarker of oncogenic BCR-signaling and predictor of poor clinical outcomes. CD25-/-B-cell leukemia failed to initiate fatal disease in transplant recipients. Owing to imbalances of oncogenic BCR-signaling and p53-checkpoint activation, CD25-/- B-cell leukemia failed to initiate fatal disease in transplant recipients. In patient-derived xenograft models of drug-resistant B-cell malignancies, treatment with a CD25-specific antibody drug-conjugate (ADCT-301) extended survival of transplant recipients or eradicated disease. These findings identified CD25 as previously unrecognized feedback regulator of oncogenic BCR-signaling and provide a rationale for therapeutic targeting of CD25 in refractory B-cell malignancies. Figure Disclosures Zammarchi: ADC Therapeutics: Employment. Van Berkel:ADC Therapeutics: Research Funding. Melnick:Constellation: Consultancy; Janssen: Research Funding; Epizyme: Consultancy. Luger:Celgene: Research Funding; Cyslacel: Research Funding; Pfizer: Honoraria; Seattle Genetics: Research Funding; Agios: Honoraria; Ariad: Research Funding; Biosight: Research Funding; Kura: Research Funding; Onconova: Research Funding; Genetech: Research Funding; Jazz: Honoraria; Daichi Sankyo: Honoraria. Meffre:AbbVie: Consultancy, Other: Grant. Weinstock:Celgene: Research Funding.