Citations

AbstractBranchio‐oto‐renal spectrum disorder (BORSD) is a rare autosomal dominant condition characterized by ear abnormalities with hard of hearing/deafness, second branchial arch malformations and renal anomalies. Pathogenic variations in EYA1 gene are found in the majority of clinically diagnosed individuals with BORSD. We describe an infant with BORSD related to a paternally inherited heterozygous pathogenic variation in EYA1 gene presenting with poor growth and hypoglycemia due to growth hormone deficiency. Magnetic resonance imaging revealed a diminutive pituitary gland and morphologically abnormal sella. Upon initiation of growth hormone therapy, the hypoglycemia resolved and catch up growth ensued. Pituitary abnormalities have not been reported previously in patients with BORSD. The zebrafish ortholog of eya1 is important for the development of adenohypophysis, suggesting that this patient's growth hormone deficiency and pituitary abnormality are part of BORSD. Inclusion of screening for pituitary hormone deficiency and pituitary imaging should be considered as a part of surveillance in patients with BORSD.

Abstract Aims The prognostic importance of cardiac procedural myocardial injury and myocardial infarction (MI) in chronic coronary syndrome (CCS) patients undergoing elective percutaneous coronary intervention (PCI) is still debated. Methods and results We analysed individual data of 9081 patients undergoing elective PCI with normal pre-PCI baseline cardiac troponin (cTn) levels. Multivariate models evaluated the association between post-PCI elevations in cTn and 1-year mortality, while an interval analysis evaluated the impact of the size of the myocardial injury on mortality. Our analysis was performed in the overall population and also according to the type of cTn used [52.0% had high-sensitivity cTn (hs-cTn)]. Procedural myocardial injury, as defined by the Fourth Universal Definition of MI (UDMI) [post-PCI cTn elevation ≥1 × 99th percentile upper reference limit (URL)], occurred in 52.8% of patients and was not associated with 1-year mortality [adj odds ratio (OR), 1.35, 95% confidence interval (CI) (0.84–1.77), P = 0.21]. The association between post-PCI cTn elevation and 1-year mortality was significant starting ≥3 × 99th percentile URL. Major myocardial injury defined by post-PCI ≥5 × 99th percentile URL occurred in 18.2% of patients and was associated with a two-fold increase in the adjusted odds of 1-year mortality [2.29, 95% CI (1.32–3.97), P = 0.004]. In the subset of patients for whom periprocedural evidence of ischaemia was collected (n = 2316), Type 4a MI defined by the Fourth UDMI occurred in 12.7% of patients and was strongly associated with 1-year mortality [adj OR 3.21, 95% CI (1.42–7.27), P = 0.005]. We also present our results according to the type of troponin used (hs-cTn or conventional troponin). Conclusion Our analysis has demonstrated that in CCS patients with normal baseline cTn levels, the post-PCI cTn elevation of ≥5 × 99th percentile URL used to define Type 4a MI is associated with 1-year mortality and could be used to detect ‘major’ procedural myocardial injury in the absence of procedural complications or evidence of new myocardial ischaemia.

Background: Abdominal aortic aneurysm (AAA) is an important cause of cardiovascular mortality; however, its genetic determinants remain incompletely defined. In total, 10 previously identified risk loci explain a small fraction of AAA heritability. Methods: We performed a genome-wide association study in the Million Veteran Program testing ≈18 million DNA sequence variants with AAA (7642 cases and 172 172 controls) in veterans of European ancestry with independent replication in up to 4972 cases and 99 858 controls. We then used mendelian randomization to examine the causal effects of blood pressure on AAA. We examined the association of AAA risk variants with aneurysms in the lower extremity, cerebral, and iliac arterial beds, and derived a genome-wide polygenic risk score (PRS) to identify a subset of the population at greater risk for disease. Results: Through a genome-wide association study, we identified 14 novel loci, bringing the total number of known significant AAA loci to 24. In our mendelian randomization analysis, we demonstrate that a genetic increase of 10 mm Hg in diastolic blood pressure (odds ratio, 1.43 [95% CI, 1.24–1.66]; P =1.6×10 −6 ), as opposed to systolic blood pressure (odds ratio, 1.06 [95% CI, 0.97–1.15]; P =0.2), likely has a causal relationship with AAA development. We observed that 19 of 24 AAA risk variants associate with aneurysms in at least 1 other vascular territory. A 29-variant PRS was strongly associated with AAA (odds ratio PRS , 1.26 [95% CI, 1.18–1.36]; P PRS =2.7×10 −11 per SD increase in PRS), independent of family history and smoking risk factors (odds ratio PRS+family history+smoking , 1.24 [95% CI, 1.14–1.35]; P PRS =1.27×10 −6 ). Using this PRS, we identified a subset of the population with AAA prevalence greater than that observed in screening trials informing current guidelines. Conclusions: We identify novel AAA genetic associations with therapeutic implications and identify a subset of the population at significantly increased genetic risk of AAA independent of family history. Our data suggest that extending current screening guidelines to include testing to identify those with high polygenic AAA risk, once the cost of genotyping becomes comparable with that of screening ultrasound, would significantly increase the yield of current screening at reasonable cost.

AbstractChronic inflammation is a common feature of many age‐related conditions including neurodegenerative diseases such as Alzheimer's disease. Cellular senescence is a state of irreversible cell‐cycle arrest, thought to contribute to neurodegenerative diseases partially via induction of a chronic pro‐inflammatory phenotype. In this study, we used a mouse model of genetically enhanced NF‐κB activity (nfκb1−/−), characterized by low‐grade chronic inflammation and premature aging, to investigate the impact of inflammaging on cognitive decline. We found that during aging, nfkb1−/− mice show an early onset of memory loss, combined with enhanced neuroinflammation and increased frequency of senescent cells in the hippocampus and cerebellum. Electrophysiological measurements in the hippocampus of nfkb1−/− mice in vitro revealed deficits in gamma frequency oscillations, which could explain the decline in memory capacity. Importantly, treatment with the nonsteroidal anti‐inflammatory drug (NASID) ibuprofen reduced neuroinflammation and senescent cell burden resulting in significant improvements in cognitive function and gamma frequency oscillations. These data support the hypothesis that chronic inflammation is a causal factor in the cognitive decline observed during aging.

Abstract Adenosquamous cancer of the pancreas (ASCP) is a subtype of pancreatic cancer that has a worse prognosis and greater metastatic potential than the more common pancreatic ductal adenocarcinoma (PDAC) subtype. To distinguish the genomic landscape of ASCP and identify actionable targets for this lethal cancer, we applied DNA content flow cytometry to a series of 15 tumor samples including five patient-derived xenografts (PDX). We interrogated purified sorted tumor fractions from these samples with whole-genome copy-number variant (CNV), whole-exome sequencing, and Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) analyses. These identified a variety of somatic genomic lesions targeting chromatin regulators in ASCP genomes that were superimposed on well-characterized genomic lesions including mutations in TP53 (87%) and KRAS (73%), amplification of MYC (47%), and homozygous deletion of CDKN2A (40%) that are common in PDACs. Furthermore, a comparison of ATAC-seq profiles of three ASCP and three PDAC genomes using flow-sorted PDX models identified genes with accessible chromatin unique to the ASCP genomes, including the lysine methyltransferase SMYD2 and the pancreatic cancer stem cell regulator RORC in all three ASCPs, and a FGFR1-ERLIN2 fusion associated with focal CNVs in both genes in a single ASCP. Finally, we demonstrate significant activity of a pan FGFR inhibitor against organoids derived from the FGFR1-ERLIN2 fusion–positive ASCP PDX model. Our results suggest that the genomic and epigenomic landscape of ASCP provide new strategies for targeting this aggressive subtype of pancreatic cancer. Significance: These data provide a unique description of the ASCP genomic and epigenomic landscape and identify candidate therapeutic targets for this dismal cancer.

Abstract Tumor-associated fibroblasts (TAFs) exhibit an activated/fibrotic phenotype in all subtypes of non-small cell lung cancer. In contrast, we previously reported that lung TAFs exhibit premature senescence selectively in large cell neuroendocrine carcinoma of the lung (LCNEC), which is among the most aggressive subtypes of lung cancer. Moreover, we also reported that senescent fibroblasts enhance the growth and invasion of LCNEC cells in vitro and in vivo, and that the co-culture of LCNEC cells with normal fibroblasts was sufficient to induce fibroblast senescence. Intriguingly, whole-genome transcriptional profiling identified MMP1 as highly overexpressed in a panel of LCNEC cells versus non-LCNEC cell lines. Here we examined the role of MMP1 in LCNEC paracrine induction of fibroblast senescence. MMP-1 expression was silenced in LCNEC cancer cell lines by shRNA, and common senescent markers were analyzed after co-culture with normal fibroblasts, including β-galactosidase staining, cyclin-dependent kinase Inhibitor 2A expression (CDKN2A) and growth arrest. In addition, the tumor-promoting effects of fibroblast conditioned medium in LCNEC growth and invasion were measured. We confirmed that the LCNEC cell lines used in this study exhibited an increased expression of 3 neuroendocrine markers (CHGA, NCAM1 and SYP) compared to non-LCNEC cells. Induction of fibroblast senescence was confirmed after coculture with shScramble LCNEC cells. Moreover, knocking-down MMP1 in LCNEC cells was sufficient to abrogate fibroblast induced senescence upon co-culture, as well as the tumor-promoting traits of fibroblast's conditioned medium. The addition of active recombinant MMP1 (rMMP1) partially rescued the fibroblast senescent phenotype in co-culture with knocked-down MMP1 LCNEC cells, yet it was not sufficient to induce senescence when added to fibroblasts cultured alone. In contrast, treating fibroblasts with rMMP1 and the potent pro-fibrotic cytokine TGFβ1 was sufficient to induce both senescence and protumorigenic properties. Our results unveil a process of “niche construction” by LCNEC cells that is driven by their overexpression of MMP1, which induces senescence in adjacent fibroblasts that secrete factors that enhance the growth and invasion of LCNEC cells, thereby contributing to the aggressive nature of these tumors. In addition, our results reveal a new pathologic synergy between MMP1 and TGFβ1 in eliciting fibroblast senescence and enhancing its tumor-promoting traits. Moreover, our findings support that the aberrant carcinoma cell-fibroblast crosstalk mediated by MMP1 may be a suitable therapeutic target in LCNEC, which currently lacks targeted therapies. Citation Format: Marta Gabasa, Rafael Ikemori, Marselina Arshakyan, Evette Radisky, Noemí Reguard, Derek Radisky, Jordi Alcaraz. Large-cell neuroendocrine carcinoma cells of the lung induce a tumor-promoting senescent phenotype in fibroblasts through MMP1 overexpression and TGFβ1 [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5099.

Abstract Tumor associated fibroblasts (TAFs) are important regulators of tumor growth and resistance to therapies. We have recently shown that lung TAFs in vitro respond to the antifibrotic drug nintedanib in adenocarcinoma (ADC) but not squamous cell carcinoma (SCC). We also showed that the tumor-promoting effects of TAFs are driven by different mechanisms in ADC and SCC, which remain to be elucidated. Tissue inhibitor of metalloproteinases 1 (TIMP-1) has been associated with poor prognosis in lung cancer, its expression is downregulated by nintedanib, and our preliminary results reveal that its putative receptor, CD63, is overexpressed in ADC patients compared to SCC, supporting a selective crosstalk between TAFs and cancer cells in ADC through TIMP-1 and CD63. The aim of this study was to test this hypothesis using in vitro preclinical models. Primary fibroblasts were obtained with the patient informed consent, and using protocols approved by the Ethics Committee of the Hospital Clinic. ADC-TAFs and SCC-TAFs were stimulated with TGF-β1 in the presence or absence of nintedanib, and the TIMP-1 content in their conditioned medium was determined by ELISA. TIMP-1 was knocked-down in ADC-TAFs by siRNA, and the corresponding conditioned medium was used to stimulate growth and invasion of the high-CD63 ADC cell line, H1437. Likewise, CD63 expression in H1437 cells was reduced by siRNA. Our in vitro results showed that TIMP-1 secretion induced by TGF-β1 is significantly larger in ADC-TAFs compared to SCC-TAFs. Likewise, nintedanib elicited a higher downregulation of secreted TIMP-1 in ADC-TAFs compared to SCC-TAFs. Of note, TIMP-1 from ADC-TAFs was necessary to induce growth and invasion of H1437 cells. Likewise, knocking-down CD63 in H1437 ADC cells was sufficient to reduce the growth and invasion elicited by the conditioned medium of TGF-β1 activated ADC-TAFs. Collectively, our results unveil a novel stroma-carcinoma crosstalk driven by TIMP-1 and CD63 selectively in lung ADC, and support that such heterotypic crosstalk may underlie the aberrant tumor-promoting effects of ADC-TAFs that are selectively downregulated by nintedanib. Citation Format: Paula Duch, Marta Gabasa, Rafael Ikemori, Marselina Arshakyan, Frank Hillberg, Noemí Reguart, Derek Radisky, Jordi Alcaraz. TIMP-1 in tumor-associated fibroblasts drives tumor progression in lung adenocarcinoma through CD63 interaction [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5091.

Abstract Background: Parity reduces risk of late onset breast cancer (BC), but childbirth is associated with a transient rise in BC risk. In a prior analysis of normal breast tissues donated for research to the Komen Tissue Bank (KTB), we reported that numbers of lobules (the primary structures from which BCs arise) are increased among parous versus nulliparous women. To further define the histological features that may be related to the transient rise in post-partum BC risk, we performed an expanded histologic review of 757 breast tissues donated to the KTB by women ≤45 years of age and compared lobule number, acinar count per lobule, and abundance of immune cells, and specifically plasma cells, between nulliparous and parous women. Methods: We assessed digital scans of H&E stained tissue sections of KTB tissues for total number of lobules, and evaluated acini / lobule (ordinal categories) and lobule span (um) for ≤10 lobules per section. Masked to epidemiologic data, we subjectively assessed images including ≥5 lobules for the presence of benign breast disease (BBD), ≥3 plasma cells per section and increased immune cells in lobules. We compared parous women according to time since last birth (≤5 years or >5 years) to nulliparas (referent) using age-adjusted regression models appropriate for data type (count, continuous, ordinal, or categorical). Results: Compared to nulliparous women, parous women ≤5 years of a birth had a 1.83-fold increase in lobule counts (95% confidence interval [CI]: 1.47-2.28, P<0.001), increased plasma cells in lobules (OR=1.86; 95% CI: 1.08-3.18, P<0.025), and subjectively, increased immune cells in lobules (OR=2.46, 95% CI: 1.39-4.36, P<0.002). Comparisons of parous women ≥5 years post-partum to nulliparas revealed a 1.83-fold increase in numbers of lobules (95% CI: 1.42-2.36, P<0.001); however, lobule span in parous women was 0.89 times that of nulliparous women (95% CI: 0.80-0.99, P=0.037) and other features assessed did not show statistically significant differences. Conclusion: Histologically, normal breast tissues reveal persistently increased lobule counts and increased plasma cells and inflammation for ≤5 years post-partum compared with nulliparous women, although other lobular features decrease between ≤5 and >5 years after a birth. Future molecular studies will define how these changes in the epithelium and microenvironment during the post-partum period may inform mechanisms that mediate the transient increase in BC risk after childbirth and the reduction in BC risk that occurs later in life. Citation Format: Joshua Ogony, DereK C. Radisky, Amy C. Degnim, Marlene Frost, Tanya L. Hoskin, Michael G. Heckman, Launia J. White, Mark E. Sherman. Analysis of post-partum breast tissue to understand early onset breast cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4635.

Abstract Background: Biopsy diagnosis of benign breast disease (BBD) based on the most severe lesion in a sample predicts future breast cancer risk and has implications for screening and management. Lobules are the functional unit of the breast and the structures from which BBD arises. We developed and preliminarily validated an automated computational pathology algorithm to discriminate normal from BBD breast lobules as a step toward automated comprehensive characterization of benign biopsies. Methods: 152 BBD biopsies (27 training, 125 validation) from the Mayo Clinic were examined using scanned digital images of H&E stained sections. For each image, a pathologist annotated up to 10 representative lobules as normal or BBD using standard pathology criteria. A deep learning algorithm to quantify lobular features was developed using 129 lobules from 27 subjects. Nine features were identified that discriminate normal vs BBD lobules, expressing lobule size, acini size and number, acinar lumen size, proportion of lobular stroma, and capillaries. Here, we validate their performance to discriminate normal vs BBD lobules in a set of 1250 lobules from 125 subjects using area under the ROC curve (AUC) analysis. Random forest analysis was used for multivariable modeling; model performance was assessed with a tenfold cross-validation approach. Results: Median subject age was 52 years. Among the 125 validation subjects, BBD findings were nonproliferative in 39%, proliferative in 45%, and atypical hyperplasia in 16%. Sections included 552 (44%) normal lobules and 698 BBD (56%) lobules, with representation of both lobule types on each section. In univariate analyses, four individual features showed good discrimination between normal vs. BBD lobules, yielding the following AUCs: lobule size= 0.74, mean acini size= 0.75, epithelial area= 0.75, and number of acini with large lumens= 0.76. Lobule size and epithelial area were highly correlated (Spearman rank correlation r = 0.95), but both of these features showed lower correlation with mean acini size and number of acini with large lumens (each r < 0.5). With random forest modeling, number of acini with large lumens was the strongest discriminating feature, followed by mean acini size, lobule size, and epithelial area. With ten-fold cross validation of the multivariable random forest model, the overall AUC was 0.82 (95% CI: 0.79-0.85). Conclusion: Our validation showed that automated quantitative computational pathology assessment of breast lobules can discriminate normal versus BBD on a per lobule basis. This finding supports the feasibility of developing automated algorithms to classify every lesion in breast biopsies, expanding beyond visual assessment. Further studies using deep learning may reveal novel pathology features for classifying BBD biopsies with the potential to strengthen estimation of breast cancer risk. Citation Format: Amy C. Degnim, Thomas de Bel, Mark E. Sherman, Derek C. Radisky, Stacey J. Winham, Tanya L. Hoskin, Melody L. Stallings Mann, Marlene Frost, Robert A. Vierkant, Brendan T. Broderick, Ethan P. Heinzen, Rushin Brahmbhatt, Muhammad Arshad, Celine M. Vachon, Jodi M. Carter, Lori A. Denison, Daniel W. Visscher, Jeroen van der Laak. Discrimination of benign breast disease from normal lobules using an automated computational pathology algorithm [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 2113.