Citations

Abstract Background. The salivary gland is one of the most common sites involved by nongastric, extranodal marginal zone lymphomas of mucosa-associated lymphoid tissue (MALT). A large series of patients with long-term follow-up has not been documented. This multicenter, international study sought to characterize the clinical characteristics, treatment, and natural history of salivary gland MALT lymphoma. Methods. Patients with biopsy-confirmed salivary gland MALT lymphoma were identified from multiple international sites. Risk factors, treatment, and long-term outcomes were evaluated. Results. A total of 247 patients were evaluated; 76% presented with limited-stage disease. There was a history of autoimmune disorder in 41%, with Sjögren disease being the most common (83%). Fifty-seven percent of patients were initially treated with local therapy with surgery, radiation, or both; 37 of patients were treated with systemic therapy initially, with 47% of those receiving rituximab; and 6% of patients were observed. The median overall survival (OS) was 18.3 years. The median progression-free survival (PFS) following primary therapy was 9.3 years. There was no difference in the outcomes between patients receiving local or systemic therapy in first-line management. On multivariate analysis, age <60 years and low to intermediate international prognostic index were associated with improved OS and PFS; Sjögren disease was associated with improved OS. Conclusion. Salivary gland MALT lymphoma has an excellent prognosis regardless of initial treatment, and patients with Sjögren disease have improved survival. Risks for long-term complications must be weighed when determining initial therapy. Implications for Practice: Patients with salivary gland extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue (MALT) have an excellent prognosis, particularly those with associated Sjögren's disease. A wide range of available therapies may provide similar durable rates of disease control and survival. Therefore, an important goal in selection of therapy should be to minimize morbidity from treatment. When determining initial therapy for these patients, practitioners should consider the potential side effects and long-term toxicities of treatment.

Abstract Several studies have identified common genetic factors that influence susceptibility to lung cancer but no large studies have systematically studied familial lung cancers. The Genetic Epidemiology of Lung Cancer Consortium completed a genome-wide association study (GWAS) using samples from 757 cases and 796 controls, all of European American ancestry, and frequency matched on age and sex. Genotyping was performed by the Center for Inherited Disease Research (CIDR) using an Illumina Human OmniExpressExome-8v1 array. The most significantly associated SNPs were identified in the cases as a whole, and were also stratified by histology (adenocarcinoma and squamous cell carcinoma) and family history (0-1 and 2-5 affected family members). Analysis of all cases and controls identified a large number of SNPs around the CFTR gene that are strongly associated with lung cancer risk. Upon imputation with European Ancestry 1000 genomes data, the most significant SNP in this region is rs43034 (p = 3.89E-07, OR = 0.657) in the promoter region. In addition, an exonic missense SNP, rs213950 (p = 6.32E-07, OR = 0.663), and an intronic SNP with a possible splicing effect, rs213935 (p = 5.20E-07, OR = 0.660) were also identified as possible protective alleles. Analysis by histological subtype identified several rare and exonic SNPs that were specific by histology. We highlight two SNPs, rs114719990 (p = 1.194E-04, OR = 336.8, SETD2, c.3229A>G, p.Thr1077Ala) and rs199710487 (p = 1.124E-04, OR = 366, NTN5, c.656G>A, p.Arg219Gln), that were identified as strongly associated SNPs in cases with histologically confirmed adenocarcinoma, and two SNPs, rs144465058 (p = 1.029E-04, OR = 484.6, ANK3, c.6555G>T, p.Gln2185His) and rs140216112 (p = 1.087E-04, OR = 476, GRIK4, c.1013C>G, p.Ala338Gly), that were identified as top SNPs in cases with histologically confirmed squamous cell carcinoma. The SETD2 gene is thought to be a tumor suppressor gene and variants in this gene have previously been associated with leukemia and glioma (Zhu X et al. 2014, Fontebasso AM et al. 2013), and may now have implications in lung cancer, specifically adenocarcinoma development. In conclusion, we identified SNPs in the CFTR gene that may have a protective effect on lung cancer and several rare and exonic variants that were specific to histology subtype. SNPChrPositionGeneGenomic/ Nucleotide/ Amino acid changeOdds Ratiop-valueCFTR Protective Allelesrs430347117108449CFTRg.117108449T>C; 2.4kb upstream0.6573.89×10−7rs2139507117199533CFTRc.1408G>A; p.Val470Met0.6636.32×10−7rs2139357117178208CFTRc.869+1481A>G0.6605.20×10−7 Citation Format: Diana M. Toledo, Susan M. Pinney, Diptasri Mandal, Mariza de Andrade, Elena Kupert, Jennifer Franks, Colette Gaba, Claire L. Simpson, Ming You, Marshall W. Anderson, Joan E. Bailey-Wilson, Christopher I. Amos, Ann Schwartz. Genetic Epidemiology of Lung Cancer Consortium: genome-wide association study of familial lung cancer cases. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr LB-189. doi:10.1158/1538-7445.AM2015-LB-189

Abstract Background: Recent genome-wide association studies (GWAS) have identified 28 susceptibility loci for Lung cancer (LC), 32 loci for smoking behavior, 10 loci for chronic obstructive pulmonary disease (COPD), 63 loci for pulmonary function and related phenotypes, totaling 107 GWAS susceptibility loci (as of November 2014). Given the common variants that have been found to be associated with LC in GWAS, targeted-region exome sequencing provides a cost-effective approach for further investigation of high-priority regions of the genome and has the great potential to identify rare causal variants in GWAS loci. Patients and Methods: Using an extreme phenotype approach, we selected 48 sporadic LC patients reporting heavy smoking histories with the presence of severe COPD in whom environmental factors are considered overwhelming, and 54 familial LC cases from families with at least three first-degree relatives with LC who are likely enriched for genomic signal, to search for the disease-causing rare mutations within the target 107 GWAS loci using exome sequencing data. Results: By focusing on exome profiles of these target 107 loci, we identified two disease-causing rare mutations on 6p21.32 TNXB p. Arg504His and 10q25.1 CCDC147 p.Arg696Cys. The homozygous Arg504His mutation presented in four familial and one sporadic LC cases. Notably, the minor allele frequency (MAF) of this variant in Caucasians from 1000 Genomes is very rare (<0.001). The heterozygous CCDC147 Arg696Cys variant were identified in two familial cases and one sporadic case. The MAF for this variant in the Caucasians from 1000 Genomes is 0.004. Both deleterious changes lead to truncation of the putative proteins, which disrupts the predicted domain and alters the cellular localization. We also observed several other suggestive rare mutations on G7C, TNS1, DBH1, and CHRNA5. Conclusion: Our target exome sequencing results demonstrate novel highly disruptive LC risk-conferring TNXB and CCDC147 mutations. Since the rare variants have appreciable effects on disease risk prediction, families and patients may warrant screening for mutations in TNXB and CCDC147 (if validated) to assess their potential LC risk. Citation Format: Yanhong Liu, Farrah Kheradmand, Michael Scheurer, Caleb Davis, David Wheeler, Edwin Silverman, Shete Sanjay, Spiridon Tsavachidis, Georgina Armstrong, Elena Kupert, Marshall Anderson, Yafang Li, Claudio Pikielny, Joan E. Bailey-Wilson, Ming You, Colette Gaba, Mariza DeAndrade, Diptasri Mandal, Claire Simpson, Susan Pinney, Christopher Amos, Margaret Spitz. Target exome sequencing for disease-causing rare mutations in familial and sporadic lung cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4600. doi:10.1158/1538-7445.AM2015-4600

Abstract Next-generation sequencing is now commonly applied to measure genomic modifications, providing the opportunity for a more accurate view of cancer progression. That being said, several challenges including tumor purity, heterogeneity and the broad set of cancer associated cellular functions, increase the difficulty of interpreting cancer genomes and make analyzing them distinct from analysis of germline diseases. The ability to detect low allelic mutations in the broad set of cancer-associated genes is critically important. To address these issues, we developed an extended cancer panel, a targeted enrichment sequencing platform that includes over 1,300 cancer genes and 200 miRNAs that improves coverage in traditionally difficult to sequence NGS regions. In this study, we apply an integrated RNA/DNA analysis approach as well as our extended cancer panel to explore mutations in metastatic renal cell carcinoma (RCC) tissue samples before and after treatment. Our goal with this study was to test the importance of integrating DNA and RNA analysis, which allows for detection of mutational events that cannot be observed by either method alone. With RNA analysis it is possible to detect gene fusion events, expression of small variants (SNVs/indels), and gene expression levels while DNA analysis allows for detection of loss of heterozygosity (LOH), copy number variants (CNVs), and small variants. By integrating both the RNA and DNA analysis, it is possible to identify unique variant classes, such as unexpressed variants, allele specific expression (ASE), effects of CNVs on gene expression levels, and how fusion gene integration sites affect CNVs. In our study, each variant class was interpreted pre- and post-treatment, allowing for optimal analysis of treatment effectiveness. By applying both our RNA/DNA integration approach and our extended cancer panel to investigate metastatic RCC samples, we were able to classify many genomic alterations that drive cancer progression. For example, we found that anywhere from 5% to 30% of small variant mutations in driver genes called in the DNA reside in genes that are unexpressed in the RNA. Likewise, we noted multiple cases of ASE, where high profile variants observed in DNA were entirely absent in the RNA despite high expression levels. Strong correlations between CNVs observed in DNA and gene expression changes found in RNA were also detected. We also observed that about half of the RCC samples we tested were biallelic for VHL mutations, suggesting inherited predisposition combined with second hit somatic mutations, facilitating cancer progression. This analysis demonstrates how combining an integrated RNA/DNA approach with a cancer focused augmented enrichment panel allows for detection of both low allelic representation variants and unique variant classes, both of which are critical for accurate interpretation of cancer samples. Citation Format: Sean M. Boyle, Michael J. Clark, Elena Helman, Alexander S. Parker, Thai Ho, Shujun Luo, Scott Kirk, Parin Sripakdeevong, Mirian Karbelashvili, Deanna M. Church, Michael Snyder, John West, Rich Chen. Integrating RNA/DNA analysis with a comprehensive cancer panel to improve interpretations of stage four metastatic renal cell carcinoma. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3899. doi:10.1158/1538-7445.AM2015-3899

Abstract Recently, Wilson et al. (doi:10.1038/onc.2013.396) found that EYA4 was frequently inactivated biallelically in sporadic lung cancer, displays tumor suppressor gene-like properties and affects DNA repair, and that 5 of 17 common SNPs in this 0.3Mb region showed nominal association to familial lung cancer (FLC, p<0.05) although these associations are not genome-wide significant after correction for multiple testing.. However, this is an interesting candidate gene for FLC risk because it is located on chromosome 6q in a region where we previously showed evidence of linkage to FLC (PMID: 15272417, 20215501). Here, we sequenced 75 individuals from our 9 most strongly 6q-linked families, using Illumina technology and a custom Agilent kit to capture 37Mb of chromosome 6 from 130Mb to 167Mb. We closely examined a region around EYA4, between 133Mb and 135Mb. This region contains a number of other genes in addition to EYA4, including the Vanin cluster; ribosomal protein S12; the tumor suppressor gene TCF21 and its antisense RNA TARID which directs methylation and activation of TCF21; solute carriers SLC18B1 and SLC2A12 and the serum/glucocorticoid regulated kinase SGK1. To detect sharing of variants among affecteds in each family while allowing for phenocopies, singlepoint affected-only linkage analysis was performed on lung cancer affection status for all sequence variants using the Elston-Stewart algorithm implemented in the R package paramlink assuming penetrance of 0.01, 0.1 and 0.1 for dd/Dd/DD and a disease allele (D) frequency of 0.01, at a recombination fraction (theta) of 0. The highest total LOD score (summed over all 9 families) in the entire 37Mb targeted region was not near EYA4. In only one family was there any variant in EYA4 that appeared on the linked haplotype with close to the highest family-specific LOD score: Family 30 had a LOD of 0.6514 at several EYA4 variants (max LOD across region 0.6519). However, many variants across the region had similar LODs. In the remaining families, all EYA4 variants had LODs much lower than the maximum family-specific LOD score in the region. Thus, EYA4 variants are unlikely to explain our 6q linkage peak in these 6q-linked families. The second highest total LOD score for the entire 37Mb targeted region was found near EYA4 at 133.9Mb (LOD = 3.82), in the middle of the TARID antisense RNA gene. This variant appears to be entirely novel, as it is not present in any of the online variant databases, such as NHLBI's ESP or 1000 Genomes. In two families, the family LOD score at this locus was at or close to the highest in the region: in Family 44 the LOD score was 1.206 (max LOD across entire region 1.207) and in Family 35 the LOD score was 0.3958 (max LOD across region 0.3959). Therefore this variant in the TARID antisense RNA is a candidate in some of our families most strongly linked to chromosome 6q. Citation Format: Joan E. Bailey-Wilson, Claire L. Simpson, Susan M. Pinney, Mariza de Andrade, Colette Gaba, Ping Yang, Ming You, Elena Y. Kupert, Ann G. Schwartz, Diptasri Mandal, Christopher I. Amos, Marshall W. Anderson. Evaluation of EYA4 as a candidate risk locus in familial lung cancer families linked to 6q. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2757. doi:10.1158/1538-7445.AM2015-2757

Abstract Objective Clinicians’ ability to use and interpret genetic information depends upon how those data are displayed in electronic health records (EHRs). There is a critical need to develop systems to effectively display genetic information in EHRs and augment clinical decision support (CDS). Materials and Methods The National Institutes of Health (NIH)-sponsored Clinical Sequencing Exploratory Research and Electronic Medical Records & Genomics EHR Working Groups conducted a multiphase, iterative process involving working group discussions and 2 surveys in order to determine how genetic and genomic information are currently displayed in EHRs, envision optimal uses for different types of genetic or genomic information, and prioritize areas for EHR improvement. Results There is substantial heterogeneity in how genetic information enters and is documented in EHR systems. Most institutions indicated that genetic information was displayed in multiple locations in their EHRs. Among surveyed institutions, genetic information enters the EHR through multiple laboratory sources and through clinician notes. For laboratory-based data, the source laboratory was the main determinant of the location of genetic information in the EHR. The highest priority recommendation was to address the need to implement CDS mechanisms and content for decision support for medically actionable genetic information. Conclusion Heterogeneity of genetic information flow and importance of source laboratory, rather than clinical content, as a determinant of information representation are major barriers to using genetic information optimally in patient care. Greater effort to develop interoperable systems to receive and consistently display genetic and/or genomic information and alert clinicians to genomic-dependent improvements to clinical care is recommended.