6048 results for "canc*"

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• National Cancer Institute Multi-Ancestry Genome-Wide Association Study of Kidney Cancer (NCI-3)

  The National Cancer Institute (NCI) multi-ancestral genome-wide association study (GWAS) of kidney cancer ("NCI-3") was performed by NCI to further investigate common genetic variants associated with risk of kidney cancer and its two major subtypes across individuals of different ancestries (European, African, East Asian, Latin American). The NCI-3 GWAS includes 12,315 cases and 73,091 controls from 25 centers in North America, South America and Europe, genotyped using the Illumina Global Screening Array v2.0. SNP-level results from this GWAS were combined by meta-analysis with results from two earlier NCI European-ancestry GWAS (RCC; phs000351: 1,311 cases and 3,424 controls and phs001736: 2,417 cases and 4,391 controls), a NCI GWAS of African Americans (phs000863; 255 cases and 375 controls), GWAS conducted at other institutions [International Agency for Research on Cancer (scan 1: 2,438 cases and 5,071 controls; scan 2: 2,781 cases and 2,940 controls), The University of Texas MD Anderson Cancer Center (scan 1: 893 cases and 556 controls, scan 2: 1,241 cases and 1,712 controls) and the Institute for Cancer Research, UK (944 cases and 4,024 controls)] and GWAS analyses of data from three large biobanks (Biobank Japan: 523 cases and 86,306 controls; FinnGen: 2,095 cases and 304,956 controls; UK Biobank: 1,807 cases and 348,824 controls). Only individual-level data from NCI-3 and the two MD Anderson Cancer Center scans are included in this dbGaP submission. All study-specific and meta-analysis summary statistics are included.

  Study phs003505

• Rearrangements of Viral and Human Genomes at Human Papillomavirus Integration Events and Their Allele-Specific Impacts on Cancer Genome Regulation

  We discovered genomic and epigenomic dysregulation originating at sites of human papillomavirus (HPV) integration following the Oxford Nanopore long-read analysis of 72 cervical cancer genomes. The integration events had allele-specific effects on the genome, methylome, and transcriptome, which sometimes resulted in the activation of cancer genes. We also examined the 72 samples using Illumina short-read analysis in phs000528. We also produced long-read cDNA-sequencing data on 29 cervical cancer samples from phs000528 (of which 27 also have long-read WGS data available) for further analysis of HPV-human transcripts derived from HPV integration events.

  Study phs003780

• HINTS Geo-Coded Data 2019 (HINTS 5 Cycle 3)

  The Health Information National Trends Survey (HINTS) is a nationally representative survey which has been administered every few years by the National Cancer Institute since 2003. HINTS 5 includes four mail-mode data collection cycles over the course of four years. The third round of data collection for HINTS 5 (Cycle 3) was conducted from January 22 to April 30, 2019 with a goal of obtaining 3,500 completed questionnaires. A push-to-web pilot test was conducted alongside the fielding of Cycle 3 (referred to as the Web Pilot). The Web Pilot was conducted from January 29 to May 7, 2019 with a goal of obtaining 2,046 additional completed questionnaires. A total of 5,438 respondents are included in the final sample.

  Study phs004216

• Incidental Detection of Maternal Neoplasia through Non-Invasive Cell-Free DNA Analysis (IDENTIFY), a Natural History Study

  Prenatal cell-free (cf) DNA sequencing for fetal aneuploidy incidentally detects circulating tumor DNA in the plasma of asymptomatic pregnant women. Distinguishing the subset of women with malignant tumors detected by prenatal sequencing from those with benign conditions, such as uterine fibroids, is critical to maternal medical management. The Incidental Detection of Maternal Neoplasia Through Non-Invasive Cell-Free DNA Sequencing (IDENTIFY) study at the National Institutes of Health in Bethesda, MD, offers standardized cancer screening and cfDNA sequencing to asymptomatic or minimally symptomatic pregnant women with nonreportable prenatal cfDNA sequencing results. We previously reported that whole-body magnetic resonance imaging (WB-MRI) and a specific genome-wide sequencing pattern of chromosomal gains and losses involving three or more chromosomes could reliably differentiate which women had cancer. We continue to explore additional noninvasive biomarkers to identify the subset of women with nonreportable prenatal cfDNA sequencing results who have cancer and to predict tissues of origin, particularly when patients or their providers are reluctant to pursue diagnostic testing, WB-MRI studies are unavailable, or imaging findings are indeterminate. Here, cfDNA sequence analysis was performed to identify cancer driver somatic mutations that might aid in distinguishing between pregnant women who have a high likelihood of occult malignancy from those who do not. In this pilot study, prospectively collected blood samples from 65 pregnant or postpartum women with and without occult cancers were analyzed blindly for cfDNA somatic mutations in 275 cancer-associated genes.

  Study phs004107

• GU16-257: Neoadjuvant Gemcitabine, Cisplatin, Plus Nivolumab in Patients with Muscle-Invasive Bladder Cancer with Selective Bladder Sparing

  This is a phase 2 trial seeking to define the safety and activity of gemcitabine, cisplatin, plus nivolumab as neoadjuvant therapy in patients with muscle-invasive bladder cancer and to define the role of clinical complete response (cCR) in predicting benefit in patients opting to avoid cystectomy. Primary Objectives Determine the cCR rate with gemcitabine, cisplatin, plus nivolumab;Determine the ability of cCR (cT0 or cTa) to predict benefit from treatment. Benefit was defined as, among the patients achieving a cCR, either being (a) 2-year metastasis-free in patients forgoing immediate cystectomy or (b) FindingsSeventy-six patients were enrolled; of these, 33 achieved a cCR (43%, 95% confidence interval (CI): 32%, 55%), and 32 of the 33 who achieved a cCR opted to forgo immediate cystectomy. The positive predictive value of cCR was 0.97 (95% CI: 0.91, 1).

  Study phs003372

• Methylation-Based Immune Deconvolution in Prostate Cancer Patients Before and After Radical Prostatectomy

  To explore whether surgical treatment for prostate cancer leads to long-term immune changes, we conducted a pilot study of n=11 prostate cancer patients treated with radical prostatectomy. We also included n=8 patients managed with active surveillance as a comparison group. We examined intra-individual changes in circulating immune cell subsets using serial blood samples collected pre- and approximately 6-months post-prostatectomy, and from matched time points for the patients managed on active surveillance. Immune cell subsets were deconvoluted using genome-wide methylation data. We observed no meaningful changes in circulating immune cell subsets in either patient group, suggesting that any surgery-induced immune changes to the circulating immune profile may not be long-lasting. The genome-wide methylation data from the two time points will be made available through dbGaP.

  Study phs003660

• A Prospective Study of the Oral Microbiome and Pancreatic Cancer

  Two prospective cohort studies - the Black Women's Health Study and the Southern Community Cohort Study - were used to investigate the oral microbiome in relation to pancreatic cancer risk. Using a nested case-control study design, 148 cases and 510 matched controls were included (122 Black American pancreatic cancer cases and 409 matched controls). DNA was extracted from oral wash samples, using the PowerSoil Pro kit. Paired-end whole metagenomic shotgun sequencing was performed, using the Illumina HiSeq2000 platform with a read length of 100 bp (insert size 350 bp).

  Study phs002454

• Integrative Analysis for Multi-Omics Data in Non-Small-Cell Lung Cancer

  We conducted epigenetic and transcriptomic mapping of primary non-small cell lung tumors and non-neoplastic tissues. 20 non-neoplastic lung tissues and 18 non-small cell lung tumors were obtained from Biorepository and Tissue Technology Shared Resource at Moores Cancer Center, UC San Diego. All tumor samples were in pathological stages I and II. 8 pairs of samples were "matched", meaning that the tumor and normal tissues came from the same patient. Microfluidic oscillatory washing–based chromatin immunoprecipitation followed by sequencing (MOWChIP-seq) was used to profile the binding of H3K4me1, H3K4me3, H3K9me3, H3K27ac and H3K27me3. SmartSeq-2 was used to map mRNA expression. We identified a large number of differentially modified regions for both epigenetic and transcriptomic markers between tumors and normal tissues. Deep learning model showed extensive transcription factor network rewiring. Raw sequencing data of the ChIP-seq and RNA-seq libraries are available through this dbGaP submission.

  Study phs003113

• APOLLO-BRCA-1: Proteogenomic Analysis of Invasive Breast Tumors in Young (less than 40 years old) vs Older Patients (greater than or equal to 60 years old)

  Breast cancer in women under the age of 40, accounting for ~5% of breast cancer diagnosed in the U.S., is more aggressive with worse outcomes than breast cancer in older women. The aim of this study is to to identify molecular features that may underlie the worse outcomes in young women with breast cancer. We performed a first-ever integrated proteogenomic study from a matched cohort of laser-microdissected tumors of 34 young (age Proteomic Data Commons at the National Cancer Institute.

  Study phs003636

• Kids First: Genomic Analysis of Pediatric Rhabdomyosarcoma

  The Gabriella Miller Kids First Pediatric Research Program (Kids First) is a trans-NIH effort initiated in response to the 2014 Gabriella Miller Kids First Research Act and supported by the NIH Common Fund. This program focuses on gene discovery in pediatric cancers and structural birth defects and the development of the Gabriella Miller Kids First Pediatric Data Resource (Kids First Data Resource). All of the genomic and phenotypic data from this study are accessible through dbGaP. The data is also available at the Kids First Portal, where other Kids First datasets can also be accessed in the cloud for data analysis, data visualization, collaboration and interoperability, open to all researchers and developers. Rhabdomyosarcoma (RMS) is one of the most common and deadly sarcomas in children and adolescents, but very little is known about its genetic epidemiology. This study will explore the role of new (i.e., de novo) mutations in both known cancer predisposition genes and novel susceptibility genes on the risk of RMS. A better understanding of the genetic risks for RMS may lead to prevention strategies, better risk stratification, and even the identification of new therapeutic targets.

  Study phs004306