Characterization of the germline and somatic mutation profile in familial pancreatic cancer reveals pathogenic germline variants and potentially druggable somatic mutations.

Pancreatology ◽  
2020 ◽  
Vol 20 ◽  
pp. S108
Author(s):  
J. Earl ◽  
M. Castillo ◽  
E. Barreto ◽  
M. Rodríguez-Garrote ◽  
V. Pachón ◽  
...  
Cancers ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1612
Author(s):  
Julie Earl ◽  
Emma Barreto ◽  
María E. Castillo ◽  
Raquel Fuentes ◽  
Mercedes Rodríguez-Garrote ◽  
...  

Pancreatic ductal adenocarcinoma (PDAC) presents many challenges in the clinic and there are many areas for improvement in diagnostics and patient management. The five-year survival rate is around 7.2% as the majority of patients present with advanced disease at diagnosis that is treatment resistant. Approximately 10–15% of PDAC cases have a hereditary basis or Familial Pancreatic Cancer (FPC). Here we demonstrate the use of circulating free DNA (cfDNA) in plasma as a prognostic biomarker in PDAC. The levels of cfDNA correlated with disease status, disease stage, and overall survival. Furthermore, we show for the first time via BEAMing that the majority of hereditary or familial PDAC cases (around 84%) are negative for a KRAS somatic mutation. In addition, KRAS mutation negative cases harbor somatic mutations in potentially druggable genes such as KIT, PDGFR, MET, BRAF, and PIK3CA that could be exploited in the clinic. Finally, familial or hereditary cases have a longer overall survival compared to sporadic cases (10.2 vs. 21.7 months, respectively). Currently, all patients are treated the same in the clinic with cytotoxic agents, although here we demonstrate that there are different subtypes of tumors at the genetic level that could pave the way to personalized treatment.


EBioMedicine ◽  
2020 ◽  
Vol 53 ◽  
pp. 102675 ◽  
Author(s):  
Julie Earl ◽  
Cristina Galindo-Pumariño ◽  
Jessica Encinas ◽  
Emma Barreto ◽  
Maria E. Castillo ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3687
Author(s):  
Julie Earl ◽  
Emma Barreto ◽  
María E. Castillo ◽  
Raquel Fuentes ◽  
Mercedes Rodríguez-Garrote ◽  
...  

The authors wish to make the following corrections to this paper [...]


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Liang Huang ◽  
Yu Xie ◽  
Shusuan Jiang ◽  
Weiqing Han ◽  
Fanchang Zeng ◽  
...  

Long noncoding RNAs (lncRNAs) exert an increasingly important effect on genome instability and the prognosis of cancer patients. The present research established a computational framework originating from the mutation assumption combining lncRNA expression profile and somatic mutation profile in the genome of renal cancer to assess the effect of lncRNAs on the gene instability of renal cancer. A total of 45 differentially expressed lncRNAs were evaluated to be genome-instability-associated from the high and low cumulative somatic mutations groups. Then we established a prognosis model based on three genome-instability-associated lncRNAs (AC156455.1, AC016405.3, and LINC01234)-GlncScore. The GlncScore was then verified in testing cohort and the total TCGA renal cancer cohort. The GlncScore was evaluated to have an accurate prediction for the survival of patients. Furthermore, GlncScore was associated with somatic mutation patterns, indicating its capacity of reflecting genome instability in renal cancer. In conclusion, this study evaluated the effect of lncRNAs on genome instability of renal cancer and provided new hidden cancer biomarkers related to genome instability in renal cancer.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 62-62
Author(s):  
Mark C. Valentine ◽  
Amy M. Linabery ◽  
Logan G. Spector ◽  
Julie A Ross ◽  
Todd E Druley

Abstract Introduction Mixed Lineage Leukemia-negative (MLL-) infant leukemia (IL) is an extremely rare, sporadic, and often fatal form of leukemia in children less than one year of age with overall survival <50%. Approximately two-thirds of these cases possess a translocation in the MLL gene. The incidence rate of IL is increasing (Linabery, Cancer 2008) in the US, but cannot be solely attributed to somatic mutations (Andersson A, Cancer Res 2012) or environmental exposures (Ross, Epidemiol Rev 1994). Maternal prenatal exposure to topoisomerase II inhibitors has been associated with infant AML onset in a model similar to therapy-related AML (Spector, Cancer Epidemiol Biomarkers Prev 2006). While there has been extensive research on the impact of MLL-rearrangements, very little work on the genetics of MLL- IL has been reported. Given the absence of chromosomal rearrangements or somatic mutations, we hypothesized that the onset of MLL- IL requires heritable or de novo deleterious germline variants, which would mitigate the requirement for acquired genetic lesions and allow early leukemic transformation. Methods We completed germline exome sequencing of 13 pairs of Caucasian mothers and their infants with MLL- AML collected from the COG “Epidemiology of Infant Leukemia” study and 25 Caucasian children without cancer. Our cohort consisted of six boys and seven girls with an average age at diagnosis of 5.3 months (range 1.6-11.4). Average maternal age was 33.4 years (range 25.4-41.8). DNA was collected from buccal cells either via mouthwash (mothers) or cytobrush (infants). Sequencing was performed at Washington University on the Illumina HiSeq 2000 platform and analyzed using our laboratory’s published and validated bioinformatic pipeline (Ramos, BMC Genomics, 2012). We focused on sequence variants within 655 AML-associated genes (defined by COSMIC) that were novel (not in dbSNP, 1000 Genomes or the Exome Variant Server), non-synonymous and predicted to be damaging according to six prediction algorithms in the Annovar software package. We prioritized genes with a compound heterozygous genotype. Results Compared to their mothers and unaffected controls, infants with AML demonstrated a 2.7 and 7.9-fold excess, respectively, of novel, non-synonymous and predicted deleterious germline variants in 655 genes associated with somatic mutation in AML. Per exome within these candidate genes, this correlated to an average of 121 variants (range 31-124) for AML infants, 31 (range 0-41) for mothers and 11 (range 6-14) for unaffected controls. Hypergeometric analysis confirmed that this enrichment was significant (P = 2.7 e-41) compared to 100,000 randomly chosen sets of 655 genes from within the same exomes. There was no correlation between gene size and the number of variants identified (r2 = 0.15). To further prioritize genes that may be relevant to infant AML, we looked for any gene with a compound heterozygous genotype. Interestingly, every infant AML patient only possessed two compound heterozygotes: ANKRD36 and MLL3. ANKRD36 was not in our candidate gene list and a connection to leukemia is unclear, but MLL3 has an established history in cancer biology. Discussion MLL3, a homolog of MLL, is a H3K4 histone methyltransferase and dimerizes with p53 as a tumor suppressor (Lee J, PNAS 2009). Mll3 knockout mice develop urogenital tumors, and somatic mutation has been linked to carcinoma of the stomach, gallbladder, bladder and liver in humans. More recently, a germline frameshift in MLL3 was identified in a pedigree with adult-onset AML and colorectal cancer (Li WD, Blood 2013). Our results provide evidence for a germline mechanism of developmental disruption of essential epigenetic regulatory mechanisms in infant AML, secondary to MLL3 dysfunction, that may be analogous to the consequences of MLL-rearrangement observed in the majority of IL cases and MLL+ therapy-related AML. These results also suggest that a combination of inherited variation from each parent is necessary to create a genetic background amenable to leukemic transformation, and are compatible with an influence from environmental exposures and the in utero establishment of leukemic clones in IL. Functional studies to determine if MLL3 dysfunction alone is sufficient for early onset AML or requires additive cooperativity with other congenital or acquired genetic lesions or specific exposures (e.g. topoisomerase II inhibitors) are necessary. Disclosures: No relevant conflicts of interest to declare.


Pancreatology ◽  
2013 ◽  
Vol 13 (3) ◽  
pp. S14 ◽  
Author(s):  
Björn Konukiewitz ◽  
Anna Melissa Schlitter ◽  
Sonja Berchtold ◽  
Susanne Haneder ◽  
Angela Segler ◽  
...  

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Irene Franco ◽  
Hafdis Helgadottir ◽  
Aldo Moggio ◽  
Malin Larsson ◽  
Peter Vrtacnik ◽  
...  

Abstract Background and Aims The genome of every cell accumulates somatic mutations while aging. Somatic mutation data can be used to track a cell´s exposure to mutagens, thereby allowing the discovery of cell types that are more susceptible to mutate and become cancer and the underling mechanisms. Method To detect somatic mutations in healthy, human kidney, we set up a protocol for whole genome DNA sequencing of single non-cancer cells. The protocol requires in vitro clonal expansion prior to sequencing, a step that restricts the analysis to cells able to proliferate in vitro (progenitors), but allows a gene expression analysis in addition to genome sequencing. Cells were obtained from six living kidney donors undergoing surgery. In addition to the kidney cortex biopsy, multiple control tissues (skin, subcutaneous fata and visceral fat) were obtained from each donor, allowing a well-controlled comparison of mutation landscapes in different cell types. Donors´ age spanned from 30 to 69. Results Somatic mutation and gene expression data showed that we were able to culture two different populations of CD133/CD24 positive, tubular cells. One population showed a low amount of somatic mutations and a mutation profile similar to progenitors from other tissues (fat, skeletal muscle and blood), consistent with a lack of exposure to mutagens. Conversely, the other population showed high mutation burden and a unique mutation landscape, characterized by mutation enrichment in active chromatin, regulatory, and transcribed regions. Accumulation of potential, cancer-driver mutations was 6-fold faster in these compared to control cells. The mutation profile was similar to that of the most common kidney cancer subtypes (clear cell- and papillary cell-carcinoma) and indicated that these cells originated from the proximal tubule, in agreement with gene expression data. Conclusion Our somatic mutation data from single genomes support the existence of two different populations of proliferating tubule cells in healthy, human kidney. One is protected from mutagen exposure, similar to stem cells from other organs. The other population is derived from damaged proximal tubule cells and shows a high mutation rate between 30 and 70 years of age. Mutations are enriched in transcribed genes and regulatory regions, thus enhancing the chances of tumorigenic transformation and suggesting conditions that predispose to cancer in the kidney proximal tubule.


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