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Purpose Primary malignant brain and other central nervous system tumors are rare cancers that have shown rising mortality rates in recent years. To elucidate potential factors involved in this rising death rate, we examined mortality trends for primary malignant BT in the United States stratified by histopathology groupings, age, race, and sex. Methods Mortality rates for demographic factors within primary malignant BT were generated using the National Center for Health Statistics' National Vital Statistics Systems data from 2004 to 2018. Additionally, histopathology-specific incidence-based mortality rates were calculated using the National Cancer Institute’s Surveillance, Epidemiology, and End-Results (SEER) 18 data from 2004 to 2018. Joinpoint modeling was used to estimate mortality trends and annual percent changes with corresponding 95% confidence intervals. Results Overall, there was a very small increase in mortality from 2004 to 2018. Individuals > 65 years saw a small increase in mortality, while changes in individuals of other ages were non-significant. Asian/Pacific Islander or American Indian/Alaskan Native had the largest increase in mortality. Among histopathology groupings, there was a small mortality increase in adults ages > 65 years with glioblastoma, while the mortality rate of other malignant gliomas declined in the same age group. CNS lymphoma mortality rates in patients ages 15–39 and 40–64 years declined significantly while rising significantly in the > 65 age group. In pediatric patients, embryonal tumor mortality had a non-significant increase between 2004 and 2007 but declined significantly between 2007 and 2018. Conclusion Examining age, race, sex, and histopathology-specific mortality trends at the population level can provide important information for clinicians, researchers, and aid in public health planning.

Background: Little is known regarding factors associated with calcitriol and a relative measure of calcitriol, the calcitriol-24,25-dihydroxyvitamin D3-calcifediol proportion ratio (C24CPR). Methods: Using a cross-sectional study design, healthy young adults of African and European descent, matched (1:1) on age (±5 years) provided a blood sample in non-summer months (N = 376). Vitamin D metabolites were measured in plasma with HPLC/MS-MS. West African genetic ancestry proportion (WGA) was estimated using STRUCTURE modeling of genetic ancestry-informative markers. Multivariable regression models were used to estimate the association of WGA and vitamin D–pathway gene variants with calcitriol and C24CPR, controlling for days from summer solstice, age, sex, blood pressure, body mass index, dietary vitamin D intake, oral contraceptive/medroxyprogesterone acetate use, smoking, tanning bed use, and time of day. Results: Calcitriol and C24CPR were not highly correlated (rho = 0.14), although both were significantly, positively, and monotonically associated with WGA (Ptrend 0.025 and Conclusions: Both absolute and relative measures of calcitriol were significantly higher among African Americans. Otherwise, these biomarkers appear to be genetically distinct. Impact: C24CPR may be better suited to personalized medicine, due to a higher proportion of population variability explained by genetic variation and a less skewed distribution.

Background A newly developed brain molecular marker (BMM) data item was implemented by US cancer registries for individuals diagnosed with brain tumors in 2018—including IDH and 1p/19q-co-deletion statuses for adult-type diffuse gliomas. We thus investigated the testing/reporting completeness of BMM in the United States. Methods Cases of histopathologically confirmed glioblastoma, astrocytoma, and oligodendroglioma diagnosed in 2018 were identified in the National Cancer Database. Adjusted odds ratios (ORadj) and 95% confidence intervals (CI) of BMM testing/reporting were evaluated for association with the selected patient, treatment, and facility-level characteristics using multivariable logistic regression. As a secondary analysis, predictors of MGMT promoter methylation testing/reporting among IDH-wildtype glioblastoma individuals were assessed. Key limitations of the BMM data item were that it did not include any details regarding testing technique or assay type and could not distinguish between a lack of testing and a lack of cancer registry reporting of testing results. Results Among 8306 histopathologically diagnosed adult-type diffuse gliomas nationally, overall BMM testing/reporting completeness was 81.1%. Compared to biopsy-only cases, odds of testing/reporting increased for subtotal (ORadj= 1.38 [95% CI: 1.20–1.59], P < .001) and gross total resection (ORadj=1.50 [95% CI: 1.31–1.72], P < .001). Furthermore, the odds were lowest at community centers (hospitals (67.3%; ORadj=0.35 [95% CI: 0.26–0.46], P < .001) and highest at academic/NCI-designated comprehensive cancer centers (85.4%; referent). By geographical location, BMM testing/reporting completeness ranged from a high of 86.8% at New England (referent) to a low of 76.0 % in the West South Central region (ORadj=0.57 [95% CI: 0.42–0.78]; P < .001). Extent of resection, Commission-on-Cancer facility type, and facility location were additionally significant predictors of MGMT testing/reporting among IDH-wildtype glioblastoma cases. Conclusions Initial BMM testing/reporting completeness for individuals with adult-type diffuse gliomas in the United States was promising, although patterns varied by hospital attributes and extent of resection.

The Central Brain Tumor Registry of the United States (CBTRUS), in collaboration with the Centers for Disease Control and Prevention and the National Cancer Institute, is the largest population-based registry focused exclusively on primary brain and other central nervous system (CNS) tumors in the United States (US) and represents the entire US population. This report contains the most up-to-date population-based data on primary brain tumors available and supersedes all previous reports in terms of completeness and accuracy. All rates are age-adjusted using the 2000 US standard population and presented per 100,000 population. The average annual age-adjusted incidence rate (AAAIR) of all malignant and non-malignant brain and other CNS tumors was 24.71 per 100,000 population (malignant AAAIR=7.02 and non-malignant AAAIR=17.69). This overall rate was higher in females compared to males (27.62 versus 21.60 per 100,000) and non-Hispanic persons compared to Hispanic persons (25.09 versus 22.95 per 100,000). The most commonly occurring malignant brain and other CNS histopathology was glioblastoma (14.2% of all tumors and 50.1% of all malignant tumors), and the most common non-malignant histopathology was meningioma (39.7% of all tumors and 55.4% of all non-malignant tumors). Glioblastoma was more common in males, and meningiomas were more common in females. In children and adolescents (ages 0-19 years), the incidence rate of all primary brain and other CNS tumors was 6.20 per 100,000 population. An estimated 93,470 new cases of malignant and non-malignant brain and other CNS tumors are expected to be diagnosed in the US population in 2022 (26,670 malignant and 66,806 non-malignant). There were 84,264 deaths attributed to malignant brain and other CNS tumors between 2015 and 2019. This represents an average annual mortality rate of 4.41 per 100,000 population and an average of 16,853 deaths per year. The five-year relative survival rate following diagnosis of a malignant brain and other CNS tumor was 35.7%, while for non-malignant brain and other CNS tumors the five-year relative survival rate was 91.8%.

The CBTRUS Statistical Report: Pediatric Brain Tumor Foundation Childhood and Adolescent Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2014–2018 comprehensively describes the current population-based incidence of primary malignant and non-malignant brain and other CNS tumors in children and adolescents ages 0–19 years, collected and reported by central cancer registries covering approximately 100% of the United States population. Overall, brain and other CNS tumors are the most common solid tumor, the most common cancer, and the most common cause of cancer death in children and adolescents ages 0–19 years. This report aims to serve as a useful resource for researchers, clinicians, patients, and families.

Background There are limited data available on incidence and survival of patients with choroid plexus tumors (CPT). This study provides the most current epidemiological analysis of choroid plexus tumors from 2004 to 2017 in the United States. Methods Data on 2013 patients with CPT were acquired from the Central Brain Tumor Registry of the United States in collaboration with the Centers for Disease Control and Prevention (CDC) and the National Cancer Institute, from 2004 to 2017. CPT cases were classified by the following pathological subtypes: choroid plexus papilloma (CPP), atypical choroid plexus papilloma (aCPP), and choroid plexus carcinoma (CPC). Frequencies and age-adjusted incidence rates (AAIR) per 100 000 and rate ratios per 100 000 (IRR) were reported for age, sex, race, and ethnicity for each pathological subtype with 95% confidence intervals (95% CI). Using CDC’s National Program of Cancer Registries survival database, survival curves and hazard ratios (HRs) evaluated overall survival from 2001 to 2016. Results CPP had the highest overall incidence (AAIR: 0.034, 95% CI: 0.033–0.036), followed by CPC (AAIR: 0.008, 95% CI: 0.008–0.009) and aCPP (AAIR: 0.005, 95% CI: 0.005–0.006). Incidence was highest among children less than one year old among all subtypes (CPP AAIR: 0.278; aCPP AAIR: 0.140; CPC AAIR: 0.195), reducing as patients aged. Overall survival was worse among patients with CPC, being five times more likely to die compared to patients with CPP (HR: 5.23, 95% CI: 4.05–7.54, P Conclusions This analysis is the most current and comprehensive study in the US on the incidence and survival for CPT. Population based statistics provide critical information in understanding disease characteristics, which impact patient care and prognosis.

Primary malignant non-osseous spinal tumors are relatively rare and this has led to a paucity of studies specifically examining the epidemiology of malignant spinal tumors.To provide an updated and more comprehensive study examining the epidemiology and relative survival of these rare tumors.Data was retrospectively acquired from the Central Brain Tumor Registry of the United States (CBTRUS).Primary malignant non-osseous spinal tumor cases diagnosed between 2000 and 2017 in the United States.Incidence rates (IRs), relative survival rates, and hazard ratios (HR) were measured.IRs were calculated only for histologically-confirmed cases between 2000 and 2017. Relative survival estimates were calculated from survival information on malignant spinal tumors between 2001 and 2016 for death from any cause. Multivariable Cox proportional hazards regression models were constructed to control for age, sex, race, and ethnicity.From 2000 to 2017, approximately 587 new cases of malignant non-osseous spinal tumors were diagnosed every year in the United States. The overall IR was 0.178 per 100,000 persons. Ependymomas were the most commonly diagnosed tumor in all age groups. The 10-year relative survival rates were 94.1%, 62.1%, 62.0%, and 13.3% for ependymomas, lymphomas, diffuse astrocytomas, and high-grade astrocytomas, respectively. Females have a significantly lower risk of death as compared with males for ependymomas (HR: 0.74, p.001) and diffuse astrocytomas (HR: 0.70, p=.005). African-Americans have a significantly higher risk of death compared with Caucasians when diagnosed with ependymomas (HR: 1.52, p=.009) or lymphomas (HR: 1.55, p=.009).Primary malignant non-osseous spinal tumors are primarily diagnosed in adulthood or late adulthood. Ependymal tumors are the most commonly diagnosed primary malignant non-osseous spinal tumors and have the highest 10-year relative survival rates. High-grade astrocytomas are rare and portend the worst prognosis.

Supplemental Table 3. Pairwise D’ and r2 Linkage Disequilibrium Values between Single Nucleotide Polymorphisms and Spearman's Correlation with West African Genetic Ancestry Proportion, African American (N=188) matched with European American (N=188) participants, Central Pennsylvania*

Supplemental Table 2. Allele Frequencies and Hardy-Weinberg Equilibrium (HWE) among African American (AA) and European American (EA) Participants (Central Pennsylvania) compared with 1000 Genomes African (AFR) and European (EUR) Populations

Background:Little is known regarding factors associated with calcitriol and a relative measure of calcitriol, the calcitriol-24,25-dihydroxyvitamin D3-calcifediol proportion ratio (C24CPR).Methods:Using a cross-sectional study design, healthy young adults of African and European descent, matched (1:1) on age (±5 years) provided a blood sample in non-summer months (N = 376). Vitamin D metabolites were measured in plasma with HPLC/MS-MS. West African genetic ancestry proportion (WGA) was estimated using STRUCTURE modeling of genetic ancestry-informative markers. Multivariable regression models were used to estimate the association of WGA and vitamin D–pathway gene variants with calcitriol and C24CPR, controlling for days from summer solstice, age, sex, blood pressure, body mass index, dietary vitamin D intake, oral contraceptive/medroxyprogesterone acetate use, smoking, tanning bed use, and time of day.Results:Calcitriol and C24CPR were not highly correlated (rho = 0.14), although both were significantly, positively, and monotonically associated with WGA (Ptrend 0.025 and R2 = 0.121 and 0.310, respectively). Variants in genes with associated with calcitriol (CALB1, CYP27B1, GC, and PPARGC1A) differed from those associated with C24CPR (CYP3A43, FGF23, KL, and VDR).Conclusions:Both absolute and relative measures of calcitriol were significantly higher among African Americans. Otherwise, these biomarkers appear to be genetically distinct.Impact:C24CPR may be better suited to personalized medicine, due to a higher proportion of population variability explained by genetic variation and a less skewed distribution.

Supplemental Table 4. Calcitriol-24,25-dihydroxyvitamin D3-calcifediol proportion ratio (C24CPR) and calcitriol (1,25(OH)2D3) adjusted least squares mean by demographic and environmental factors.

Supplemental Table 1. Distribution of Vitamin D Biomarkers By Race/Ethnicity, Sex and Oral Contraceptive Use.

Supplemental Figures 1a through 1d. Log linear plots of Plasma Calcitriol (1,25(OH)2D3) and plasma Calcitriol-24,25-Dihydroxyvitamin D3-Calcifediol Proportion ratio (C24CPR) in Relation to the Skin Melanin Index (SMI) and West African Genetic Ancestry Proportion (WGA) among healthy African American a European American participants.

Background Selected molecular biomarkers were incorporated into the US cancer registry reporting for patients with brain tumors beginning in 2018. We investigated the completeness and validity of these variables and described the epidemiology of molecularly defined brain tumor types. Methods Brain tumor patients with histopathologically confirmed diagnosis in 2018 were identified within the Central Brain Tumor Registry of the United States and NCI’s Surveillance, Epidemiology, and End Results Incidence databases. The brain molecular markers (BMM) site-specific data item was assessed for coding completeness and validity. 1p/19q status, MGMT promoter methylation, WHO grade data items, and new ICD-O-3 codes were additionally evaluated. These data were used to profile the characteristics and age-adjusted incidence rates per 100 000 population of molecularly defined brain tumors with 95% confidence intervals (95% CI). Results BMM completeness across the applicable tumor types was 75%-92% and demonstrated favorable coding validity. IDH-wildtype glioblastomas’ incidence rate was 1.74 (95% CI: 1.69-1.78), as compared to 0.14 for WHO grade 2 (95% CI: 0.12-0.15), 0.15 for grade 3 (95% CI: 0.14-0.16), and 0.07 for grade 4 (95% CI: 0.06-0.08) IDH-mutant astrocytomas. Irrespective of WHO grade, IDH mutation prevalence was highest in adolescent and young adult patients, and IDH-mutant astrocytomas were more frequently MGMT promoter methylated. Among pediatric-type tumors, the incidence rate was 0.06 for H3K27M-mutant diffuse midline gliomas (95% CI: 0.05-0.07), 0.03 for SHH-activated/TP53-wildtype medulloblastomas (95% CI: 0.02-0.03), and Conclusions Our findings illustrate the success of developing a dedicated, integrated diagnosis variable, which provides critical molecular information about brain tumors related to accurate diagnosis.

Fig.S15 POU3F2 and SMARCA5 are positively correlated with each other in GBM cohorts

Table S4. Multivariable analyses of clinic-pathologic parameters with MGMT methylation status in patient with GBM

Table S6. Multivariable analyses of clinic-pathologic parameters of overall survival in patient with GBM in CGGA database

Fig. S7 Expression of miR-146a in GEO Profiles database: GSE23806

Fig. S13 Tumor suppression by miR-146a is rescued by POU3F2

Fig. S4 miR-146a significantly inhibited the NF-κB and ERK pathways in GBM

Fig. S11 Expression of SMARCA5 in TCGA datasets

Fig. S8 Expression of cancer stem cell markers after overexpression of miR-146a in GBM cells

Fig. S10 Expression of POU3F2 in TCGA datasets

Table S1. Primers used in the study

Fig. S3 miR-146a inhibits cell proliferation and invasion in established GBM cell lines

Fig. S14 Correlation between POU3F2 and SMARCA5 at mRNA level in TCGA datasets

Supplementary Materials

Table S2. Antibodies used in the study

Fig. S1 miR-146a inhibits cell proliferation of PDX lines GBM12 and GBM43

Fig. S9 POU3F2 and SMARCA5 are two target candidates of miR-146a

Fig. S12 Expression of TRAF6 in miR-146a overexpression models

Fig. S5 Dox-inducible stable GBM cell model

Fig. S2 Effect of miR-146a on cell invasion in U87MG/EGFRvIII, GBM30, 08-387, and LN229 cells

Table S3. Univariable and Multivariable analyses of clinic-pathologic parameters of overall survival in patient with GBM

Table S5. Multivariable analyses of clinic-pathologic parameters of overall survival in patient with GBM in TCGA database

Rapid tumor growth, widespread brain-invasion, and therapeutic resistance critically contribute to glioblastoma (GBM) recurrence and dismal patient outcomes. Although GBM stem cells (GSC) are shown to play key roles in these processes, the molecular pathways governing the GSC phenotype (GBM-stemness) remain poorly defined. Here, we show that epigenetic silencing of miR-146a significantly correlated with worse patient outcome and importantly, miR-146a level was significantly lower in recurrent tumors compared with primary ones. Further, miR-146a overexpression significantly inhibited the proliferation and invasion of GBM patient-derived primary cells and increased their response to temozolomide (TMZ), both in vitro and in vivo. Mechanistically, miR-146a directly silenced POU3F2 and SMARCA5, two transcription factors that mutually regulated each other, significantly compromising GBM-stemness and increasing TMZ response. Collectively, our data show that miR-146a–POU3F2/SMARCA5 pathway plays a critical role in suppressing GBM-stemness and increasing TMZ-response, suggesting that POU3F2 and SMARCA5 may serve as novel therapeutic targets in GBM.Implications:miR-146a predicts favorable prognosis and the miR-146a–POU3F2/SMARCA5 pathway is important for the suppression of stemness in GBM.

Fig. S6 miR-146a enhances TMZ sensitivity in GBM30 cells

The relationship of age and date of birth (DOB) in the data

Background: Barrett's esophagus is often asymptomatic and only a small portion of Barrett's esophagus patients are currently diagnosed and under surveillance. Therefore, it is important to develop risk prediction models to identify high-risk individuals with Barrett's esophagus. Familial aggregation of Barrett's esophagus and esophageal adenocarcinoma, and the increased risk of esophageal adenocarcinoma for individuals with a family history, raise the necessity of including genetic factors in the prediction model. Methods to determine risk prediction models using both risk covariates and ascertained family data are not well developed.Methods: We developed a Barrett's Esophagus Translational Research Network (BETRNet) risk prediction model from 787 singly ascertained Barrett's esophagus pedigrees and 92 multiplex Barrett's esophagus pedigrees, fitting a multivariate logistic model that incorporates family history and clinical risk factors. The eight risk factors, age, sex, education level, parental status, smoking, heartburn frequency, regurgitation frequency, and use of acid suppressant, were included in the model. The prediction accuracy was evaluated on the training dataset and an independent validation dataset of 643 multiplex Barrett's esophagus pedigrees.Results: Our results indicate family information helps to predict Barrett's esophagus risk, and predicting in families improves both prediction calibration and discrimination accuracy.Conclusions: Our model can predict Barrett's esophagus risk for anyone with family members known to have, or not have, had Barrett's esophagus. It can predict risk for unrelated individuals without knowing any relatives' information.Impact: Our prediction model will shed light on effectively identifying high-risk individuals for Barrett's esophagus screening and surveillance, consequently allowing intervention at an early stage, and reducing mortality from esophageal adenocarcinoma. Cancer Epidemiol Biomarkers Prev; 25(5); 727–35. ©2016 AACR.

Supplementary Table 7: S-PrediXcan statistics at each brain tissue for the 31 identified gene associations.

Supplementary Table 6: Genes and their TWAS P-values for association with (a) GBM glioma (b) non-GBM glioma. s.d., standard deviation. Detailed are the S-MultiXcan P-value for association between gene expression and GBM/non-GBM risk and the corresponding Z-scores quantifying this relationship (e.g. a positive score indicates increased gene expression increases risk of GBM or non-GBM glioma). N and Nindep indicate the total number of single-tissue results used for S-MultiXcan analysis and the number of independent components after singular value decomposition, respectively. "p_i_best" and "t_i_best" correspond to the best single-tissue P-value and tissue model respectively, accordingly "p_i_worst" and "t_i_worset" correspond to the worst. "eigen_max" and "eigen_min" correspond to the maximum and minimum eigenvalue in the covariance matrix respectively, with "eigen_min_kept" corresponding to the minimum eigenvalue that survived thresholding.

Background: Cigarette smoking is associated with increased head and neck cancer (HNC) risk. Tobacco-related carcinogens are known to cause bulky DNA adducts. Nucleotide excision repair (NER) genes encode enzymes that remove adducts and may be independently associated with HNC, as well as modifiers of the association between smoking and HNC.Methods: Using population-based case–control data from the Carolina Head and Neck Cancer Epidemiology (CHANCE) Study (1,227 cases and 1,325 controls), race-stratified (White, African American), conventional, and hierarchical logistic regression models were used to estimate ORs with 95% intervals (I) for the independent and joint effects of cigarette smoking and 84 single-nucleotide polymorphisms (SNP) from 15 NER genes on HNC risk.Results: The odds of HNC were elevated among ever cigarette smokers and increased with smoking duration and frequency. Among Whites, rs4150403 on ERCC3 was associated with increased HNC odds (AA+AG vs. GG; OR, 1.28; 95% CI, 1.01–1.61). Among African Americans, rs4253132 on ERCC6 was associated with decreased HNC odds (CC+CT vs. TT; OR, 0.62; 95% CI, 0.45–0.86). Interactions between ever cigarette smoking and three SNPs (rs4253132 on ERCC6, rs2291120 on DDB2, and rs744154 on ERCC4) suggested possible departures from additivity among Whites.Conclusions: We did not find associations between some previously studied NER variants and HNC. We did identify new associations between two SNPs and HNC and three suggestive cigarette–SNP interactions to consider in future studies.Impact: We conducted one of the most comprehensive evaluations of NER variants, identifying a few SNPs from biologically plausible candidate genes associated with HNC and possibly interacting with cigarette smoking. Cancer Epidemiol Biomarkers Prev; 22(8); 1428–45. ©2013 AACR.

age at allergy onset

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Background: We have previously established aberrant DNA methylation of vimentin exon-1 (VIM methylation) as a common epigenetic event in colon cancer and as a biomarker for detecting colon neoplasia. We now examine vimentin methylation in neoplasia of the upper gastrointestinal tract.Methods: Using a quantitative real-time methylation-specific PCR assay, we tested for vimentin methylation in archival specimens of esophageal and gastric neoplasia.Results: We find that acquisition of aberrant vimentin methylation is highly common in these neoplasms, but largely absent in controls. The highest frequency of vimentin methylation was detected in lesions of the distal esophagus, including 91% of Barrett's esophagus (n = 11), 100% of high-grade dysplasia (HGD, n = 5), and 81% of esophageal adenocarcinoma (EAC, n = 26) but absent in controls (n = 9). Vimentin methylation similarly was detected in 87% of signet ring (n = 15) and 53% of intestinal type gastric cancers (n = 17). Moreover, in tests of cytology brushings vimentin methylation proved detectable in 100% of Barrett's esophagus cases (n = 7), 100% of HGD cases (n = 4), and 83% of EAC cases (n = 18) but was absent in all controls (n = 5).Conclusions: These findings establish aberrant vimentin methylation as a highly common epigenetic alteration in neoplasia of the upper gastrointestinal tract and show that Barrett's esophagus, even without dysplasia, already contains epigenetic alterations characteristic of adenocarcinoma.Impact: These findings suggest vimentin methylation as a biomarker of upper gastrointestinal neoplasia with potential for development as molecular cytology in esophageal screening. Cancer Epidemiol Biomarkers Prev; 21(4); 594–600. ©2012 AACR.

Supplementary Methods of imputation of age and estimating the parameters of the prediction model. Supplementary Table S1 Missing rates on the 8 covariates in the training and validation datasets. Supplementary Table S2 Stepwise removal of covariates in the MLM model on the basis of LRT tests and AIC. Supplementary Table S3. Description of the eight predictor covariates. Supplementary Table S4 Number of informative pedigrees without missing covariate data.

Esophageal adenocarcinoma is a deadly cancer with increasing incidence in the United States, but mechanisms underlying pathogenesis are still mostly elusive. In addressing this question, we assessed gene fusion landscapes by comprehensive RNA sequencing (RNAseq) of 55 pretreatment esophageal adenocarcinoma and 49 nonmalignant biopsy tissues from patients undergoing endoscopy for Barrett's esophagus. In this cohort, we identified 21 novel candidate esophageal adenocarcinoma–associated fusions occurring in 3.33% to 11.67% of esophageal adenocarcinomas. Two candidate fusions were selected for validation by PCR and Sanger sequencing in an independent set of pretreatment esophageal adenocarcinoma (N = 115) and nonmalignant (N = 183) biopsy tissues. In particular, we observed RPS6KB1–VMP1 gene fusion as a recurrent event occurring in approximately 10% of esophageal adenocarcinoma cases. Notably, esophageal adenocarcinoma cases harboring RPS6KB1–VMP1 fusions exhibited significantly poorer overall survival as compared with fusion-negative cases. Mechanistic investigations established that the RPS6KB1–VMP1 transcript coded for a fusion protein, which significantly enhanced the growth rate of nondysplastic Barrett's esophagus cells. Compared with the wild-type VMP1 protein, which mediates normal cellular autophagy, RPS6KB1–VMP1 fusion exhibited aberrant subcellular localization and was relatively ineffective in triggering autophagy. Overall, our findings identified RPS6KB1–VMP1 as a genetic fusion that promotes esophageal adenocarcinoma by modulating autophagy-related processes, offering new insights into the molecular pathogenesis of esophageal adenocarcinomas. Cancer Res; 76(19); 5628–33. ©2016 AACR.

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