Genetic Data Research Articles

A case study of a liver transplant-treated patient with glycogen storage disease type Ia presenting with multiple inflammatory hepatic adenomas: an analysis of clinicopathologic and genetic data

BackgroundGlycogen storage disease (GSD) is a disease caused by excessive deposition of glycogen in tissues due to genetic disorders in glycogen metabolism. Glycogen storage disease type I (GSD-I) is also known as VonGeirk disease and glucose-6-phosphatase deficiency. This disease is inherited in an autosomal recessive manner, and both sexes can be affected. The main symptoms include hypoglycaemia, hepatomegaly, acidosis, hyperlipidaemia, hyperuricaemia, hyperlactataemia, coagulopathy and developmental delay.Case presentationHere, we present the case of a 13-year-old female patient with GSD Ia complicated with multiple inflammatory hepatic adenomas. She presented to the hospital with hepatomegaly, hypoglycaemia, and epistaxis. By clinical manifestations and imaging and laboratory examinations, we suspected that the patient suffered from GSD I. Finally, the diagnosis was confirmed by liver pathology and whole-exome sequencing (WES).WES revealed a synonymous mutation, c.648 G > T (p.L216 = , NM_000151.4), in exon 5 and a frameshift mutation, c.262delG (p.Val88Phefs*14, NM_000151.4), in exon 2 of the G6PC gene. According to the pedigree analysis results of first-generation sequencing, heterozygous mutations of c.648 G > T and c.262delG were obtained from the patient's father and mother.Liver pathology revealed that the solid nodules were hepatocellular hyperplastic lesions, and immunohistochemical (IHC) results revealed positive expression of CD34 (incomplete vascularization), liver fatty acid binding protein (L-FABP) and C-reactive protein (CRP) in nodule hepatocytes and negative expression of β-catenin and glutamine synthetase (GS). These findings suggest multiple inflammatory hepatocellular adenomas. PAS-stained peripheral hepatocytes that were mostly digested by PAS-D were strongly positive.This patient was finally diagnosed with GSD-Ia complicated with multiple inflammatory hepatic adenomas, briefly treated with nutritional therapy after diagnosis and then underwent living-donor liver allotransplantation.After 14 months of follow-up, the patient recovered well, liver function and blood glucose levels remained normal, and no complications occurred.ConclusionThe patient was diagnosed with GSD-Ia combined with multiple inflammatory hepatic adenomas and received liver transplant treatment. For childhood patients who present with hepatomegaly, growth retardation, and laboratory test abnormalities, including hypoglycaemia, hyperuricaemia, and hyperlipidaemia, a diagnosis of GSD should be considered. Gene sequencing and liver pathology play important roles in the diagnosis and typing of GSD.

Utilizing Profound Learning Methods for Alzheimer's Infection Discovery: An Exhaustive Survey

Alzheimer’s disease (AD) is a major public health issue around the world. It is a progressive disease that causes memory loss and cognitive decline. Early detection is essential for early intervention and treatment of AD. In recent years, there has been a surge in the use of deep learning techniques to analyze complex medical data. This includes neuroimaging data as well as genetic data. This has led to promising advances in the detection of AD. In this paper, we will review the application of various deep learning methods in the field of Alzheimer’s Disease. We will look at the challenges that traditional diagnostic methods face and how these challenges can be overcome by using deep learning approaches. We will also look at different deep learning architectures and data modalities and techniques used in the field of AD detection. Finally, we will look at limitations and future direction of the field to help researchers and practitioners to develop more accurate and effective AD detection methods. Keywords: Alzheimer's Disease, deep learning, neuroimaging, biomarkers, early detection, diagnosis.

Genetic and clinical profile of 15 Chinese families with GDAP1-related Charcot-Marie-Tooth disease and identification of H256R as a frequent mutation.

Mutations in ganglioside-induced differentiation-associated protein 1 (GDAP1) cause axonal or demyelinating Charcot-Marie-Tooth disease (CMT) with autosomal dominant or recessive inheritance. In this study, we aim to report the genotypic and phenotypic features of GDAP1-related CMT in a Chinese cohort. Clinical, neurophysiological, genetic data, and available muscle/brain imaging information of 28 CMT patients with GDAP1 variants were retrospectively collected. We identified 16 GDAP1 pathogenic variants, among which two novel variants c.980dup(p.L328FfsX25) and c.480+4T>G were first reported. Most patients (16/28) presented with AR or AD CMT2K phenotype. Clinical characteristics in our cohort demonstrated that the AR patients presented earlier onset, more severe phenotype compared with the AD patients. Considerable intra-familial phenotypic variability was observed among three AD families. Muscle atrophy and fatty infiltration in the lower extremity were detected by Muscle magnetic resonance imaging (MRI) scans in four patients. MRI showed two AR patients showed more severe muscle involvement of the posterior compartment than those of the anterolateral compartment in the calf. One patient carrying Q38*/H256R variants accompanied with mild periventricular leukoaraiosis. In this study, we conducted an analysis of clinical features of the GDAP1-related CMT patients, expanded the mutation spectrum in GDAP1 by reporting two novel variants, and presented the prevalent occurrence of the H256R mutation in China. The screening of GDAP1 should be particularly emphasized in Chinese patients with CMT2, given the incomplete penetrance and pathogenic inheritance patterns involving dominant and recessive modes.

Clinical and genetic characteristics and natural history of Finnish families with familial exudative vitreoretinopathy due to pathogenic FZD4 variants.

To report clinical and genetic characteristics of familial exudative vitreoretinopathy (FEVR) in the Finnish population. Detailed clinical and genetic data of 35 individuals with heterozygous pathogenic variants in FZD4 were gathered and analysed. Thirty-two individuals with FZD4 c.313A>G variant and three individuals with FZD4 c.40_49del were included in the study. The clinical phenotype was variable even among family members with the same FZD4 variant. Only 34% (N = 12/35) of variant-positive individuals had been clinically diagnosed with FEVR. The median age of the onset of symptoms was 2.3 years, ranging between 0 to 25 years. Median visual acuity was 0.1 logMAR (0.8 Snellen decimal), ranging between light perception and -0.1 logMAR (1.25 Snellen decimal). Most (N = 33/35, 94%) were classified as not visually impaired. Despite unilateral visual loss present in some, they did not meet the criteria of visual impairment according to the WHO classification. Two study patients (N = 2/35, 6%) had severe visual impairment. The most common FEVR stage in study patient's eyes (N = 28/70 eyes, 40%) was FEVR stage 1, that is, avascular periphery or abnormal vascularisation. Most of FZD4-variant-positive study patient's eyes (N = 31/50 eyes, 62%) were myopic. Two individuals presented with persistent hyperplastic primary vitreous expanding the phenotypic spectrum of FEVR. Shared haplotypes extending approximately 0.9 Mb around the recurrent FZD4 c.313A>G variant were identified. Most study patients were unaffected or had mild clinical manifestations by FEVR. Myopia seemed to be overly common in FZD4-variant-positive individuals.

Characterization of PANoptosis-related genes and the immune landscape in moyamoya disease

Moyamoya disease (MMD) is a cerebrovascular narrowing and occlusive condition characterized by progressive stenosis of the terminal portion of the internal carotid artery and the formation of an abnormal network of dilated, fragile perforators at the base of the brain. However, the role of PANoptosis, an apoptotic mechanism associated with vascular disease, has not been elucidated in MMD. In our study, a total of 40 patients’ genetic data were included, and a total of 815 MMD-related differential genes were screened, including 215 upregulated genes and 600 downregulated genes. Among them, DNAJA3, ESR1, H19, KRT18 and STK3 were five key genes. These five key genes were associated with a variety of immune cells and immune factors. Moreover, GSEA (gene set enrichment analysis) and GSVA (gene set variation analysis) showed that the different expression levels of the five key genes affected multiple signaling pathways associated with MMD. In addition, they were associated with the expression of MMD-related genes. Then, based on the five key genes, a transcription factor regulatory network was constructed. In addition, targeted therapeutic drugs against MMD-related genes were obtained by the Cmap drug prediction method: MST-312, bisacodyl, indirubin, and tropanyl-3,5-dimethylbenzoate. These results suggest that the PANoptosis-related genes may contribute to the pathogenesis of MMD through multiple mechanisms.

Genetic association and causal relationship between multiple modifiable risk factors and autoimmune liver disease: a two-sample mendelian randomization study

BackgroundThe intricate etiology of autoimmune liver disease (AILD) involves genetic, environmental, and other factors that yet to be completely elucidated. This study comprehensively assessed the causal association between genetically predicted modifiable risk factors and AILD by employing Mendelian randomization.MethodsGenetic variants associated with 29 exposure factors were obtained from genome-wide association studies (GWAS). Genetic association data with autoimmune hepatitis (AIH), primary biliary cholangitis (PBC) and primary sclerosing cholangitis (PSC) were also obtained from publicly available GWAS. Univariate and multivariate Mendelian randomization analyses were performed to identify potential risk factors for AILD.ResultsGenetically predicted rheumatoid arthritis (RA) (OR = 1.620, 95%CI 1.423–1.843, P = 2.506 × 10− 13) was significantly associated with an increased risk of AIH. Genetically predicted smoking initiation (OR = 1.637, 95%CI 1.055–2.540, P = 0.028), lower coffee intake (OR = 0.359, 95%CI 0.131–0.985, P = 0.047), cholelithiasis (OR = 1.134, 95%CI 1.023–1.257, P = 0.017) and higher C-reactive protein (CRP) (OR = 1.397, 95%CI 1.094–1.784, P = 0.007) were suggestively associated with an increased risk of AIH. Genetically predicted inflammatory bowel disease (IBD) (OR = 1.212, 95%CI 1.127–1.303, P = 2.015 × 10− 7) and RA (OR = 1.417, 95%CI 1.193–1.683, P = 7.193 × 10− 5) were significantly associated with increased risk of PBC. Genetically predicted smoking initiation (OR = 1.167, 95%CI 1.005–1.355, P = 0.043), systemic lupus erythematosus (SLE) (OR = 1.086, 95%CI 1.017–1.160, P = 0.014) and higher CRP (OR = 1.199, 95%CI 1.019–1.410, P = 0.028) were suggestively associated with an increased risk of PBC. Higher vitamin D3 (OR = 0.741, 95%CI 0.560–0.980, P = 0.036) and calcium (OR = 0.834, 95%CI 0.699–0.995, P = 0.044) levels were suggestive protective factors for PBC. Genetically predicted smoking initiation (OR = 0.630, 95%CI 0.462–0.860, P = 0.004) was suggestively associated with a decreased risk of PSC. Genetically predicted IBD (OR = 1.252, 95%CI 1.164–1.346, P = 1.394 × 10− 9), RA (OR = 1.543, 95%CI 1.279–1.861, P = 5.728 × 10− 6) and lower glycosylated hemoglobin (HbA1c) (OR = 0.268, 95%CI 0.141–0.510, P = 6.172 × 10− 5) were positively associated with an increased risk of PSC.ConclusionsEvidence on the causal relationship between 29 genetically predicted modifiable risk factors and the risk of AIH, PBC, and PSC is provided by this study. These findings provide fresh perspectives on the management and prevention strategies for AILD.

Taxonomy and phylogeny of the family Suberitidae (Porifera: Demospongiae) in California

This study presents a comprehensive taxonomic revision of the family Suberitidae (Porifera: Demospongiae) for California, USA. We include the three species previously known from the region, document two additional species previously known from other regions, and formally describe four new species as Pseudosuberites latke sp. nov., Suberites californiana sp. nov., Suberites kumeyaay sp. nov., and Suberites agaricus sp. nov. Multi-locus DNA sequence data is presented for seven of the nine species, and was combined with all publicly available data to produce the most comprehensive global phylogeny for the family to date. By integrating morphological and genetic data, we show that morphological characters may be sufficient for regional species identification but are likely inadequate for global classification into genera that reflect the evolutionary history of the family. We therefore propose that DNA sequencing is a critical component to support future taxonomic revisions.

Association of immune cells and the risk of esophageal cancer: A Mendelian randomization study in a East Asian population.

Immunotherapy has been used in esophageal cancer (EC), but the causal relationship between EC and immune cells is not clear. Although the cellular phenotype has been reported as a biomarker for immunotherapy, the biomarker studies for immunotherapy in EC still face great challenges. Comprehensive 2-sample Mendelian randomization (MR) analysis was performed to determine the causal association between immune cell signatures and EC in this study. Based on publicly available genetic data, we explored causal associations between 731 immune cell signatures and EC risk. EC had no statistically significant effect on immunophenotypes. Nine immunophenotype types were positively associated with the risk of EC: CD20-%B cell, CD20% lymphocytes, CD25 on IgD- CD27-, CD25 on IgD+ CD24+, CD27 on IgD+ CD24+, CD28+ CD45RA- CD8br AC, CD3 on TD CD8br, IgD-CD38dim%B cells, and Mo MDSC AC. In addition, a total of 15 immunophenotypes were identified as causally associated with EC. IgD+ CD38- %B cell, IgD- CD24- %lymphocyte, CD19 on IgD- CD38dim, CD20 on IgD+ CD24+, CD62L-myeloid DC AC, CD4+ AC, Lymphocyte %leukocyte, CD3 on HLA-DR+ T cell, CD3 on CD45RA- CD4+, HVEM on naive CD4+ AC, HVEM on CD45RA- CD4+, CD4 on TD CD4+, CD4 on CD4 Treg, and CD4 on CD39+ resting Treg, and CD4 on activated & secreting Treg. Our study has demonstrated the close connection between immune cells and EC by genetic means, thus providing guidance for future clinical research.

Plasma fatty acids and attention deficit hyperactivity disorder: a Mendelian randomization investigation

BackgroundAttention deficit hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder of childhood, and pathogenesis is not fully understood. Observational studies suggest an association between fatty acids abnormalities and ADHD, but there are contradictions and differences between these findings. To address this uncertainty, we employed a two-sample bidirectional Mendelian Randomization (MR) analysis to investigate the causal relationship between fatty acids and ADHD.MethodsWe conducted a two-sample Mendelian Randomization (MR) study, selecting single nucleotide polymorphisms (SNPs) highly correlated with fatty acid levels from the CHARGE Consortium as our instruments. The outcome data were sourced from the Psychiatric Genomics Consortium (PGC) dataset on ADHD, comprising 225,534 individuals, with 162,384 cases and 65,693 controls. Inverse variance weighting, MR-Egger, and weighted median methods were employed to estimate the causal relationship between fatty acids and ADHD. Cochran’s Q-test was used to quantify heterogeneity of instrumental variables. Sensitivity analyses included MR-Egger intercept tests, leave-one-out analyses, and funnel plots.ResultsThe MR analysis revealed no significant associations between genetically predicted levels of various saturated, monounsaturated, and polyunsaturated fatty acids (including omega-3 and omega-6) and ADHD risk in the CHARGE and PGC cohorts. Notably, an initial association with Dihomo-gamma-linolenic acid (DGLA) (OR = 1.009, p = 0.032 by IVW) did not persist after correction for multiple testing (adjusted p-value = 0.286). Sensitivity analysis supported our findings, indicating robustness. Moreover, there was a lack of evidence supporting a causal link from ADHD to fatty acids.ConclusionWhile our study on the basis of genetic data does not provide evidence to support the causal role of fatty acids in ADHD, it does not preclude their potential involvement in reducing the risk of ADHD. Further research is needed to explore this possibility.

Predicting Transcription Factor Binding Sites with Deep Learning

Prediction of binding sites for transcription factors is important to understand how the latter regulate gene expression and how this regulation can be modulated for therapeutic purposes. A consistent number of references address this issue with different approaches, Machine Learning being one of the most successful. Nevertheless, we note that many such approaches fail to propose a robust and meaningful method to embed the genetic data under analysis. We try to overcome this problem by proposing a bidirectional transformer-based encoder, empowered by bidirectional long-short term memory layers and with a capsule layer responsible for the final prediction. To evaluate the efficiency of the proposed approach, we use benchmark ChIP-seq datasets of five cell lines available in the ENCODE repository (A549, GM12878, Hep-G2, H1-hESC, and Hela). The results show that the proposed method can predict TFBS within the five different cell lines very well; moreover, cross-cell predictions provide satisfactory results as well. Experiments conducted across cell lines are reinforced by the analysis of five additional lines used only to test the model trained using the others. The results confirm that prediction across cell lines remains very high, allowing an extensive cross-transcription factor analysis to be performed from which several indications of interest for molecular biology may be drawn.

Abstract PO5-08-08: Tumor Registry Guided Genetic Testing: Opportunities Unlocked

Abstract Introduction With the expansion of guidelines for germline genetic testing, more patients are eligible for testing. Unfortunately, many remain untested. Testing is critical, as patients with pathogenic variants (and their families) can benefit from more aggressive screening and preventative strategies, as well as targeted therapies (e.g., poly (adenosine diphosphate-ribose) polymerase (PARP) inhibitors) if cancer does occur. Objectives To study the prevalence of Hereditary Breast Ovarian Cancer (HBOC) genetic testing eligibility and uptake among cancer patients from the tumor registry at the Medical University of South Carolina (MUSC) in order to identify a group of living patients who require testing now. Methods This Quality Improvement study included patients 18 years of age or older diagnosed with breast, ovarian/fallopian/primary peritoneal, pancreas and prostate cancers between 1991 and 2021 as reported to the MUSC Tumor Registry. Each patient was evaluated using the latest National Comprehensive Cancer Network (NCCN) criteria for breast-ovarian genetic testing (Excluding family history criteria, which were not available in the tumor registry). Using our genetic testing database, we also determined which had had testing. We describe the prevalence of genetic testing performed vs the number of patients that would benefit from testing under the newest guidelines. Results Patients identified as eligible for testing included 399 breast cancer patients, all 544 ovarian/fallopian/primary peritoneal cancer patients, all 1534 pancreas cancer patients and 872 prostate cancer patients. Reported testing of eligible patients was low (breast: 35%, Ovarian: 33%, pancreas: 4%, and prostate cancer: 6%). Of eligible patients not tested, 310 patients with breast cancer, 343 patients with ovarian/fallopian/primary peritoneal cancer, 717 patients with pancreas cancer and 763 patients with prostate cancer, are alive and eligible for testing (2133 patients) Discussion Using Tumor Registry data plus genetic testing data allowed us to detect a large number of living patients with cancer that would be eligible for HBOC genetic testing. This is despite the fact that this approach underestimates the number of patients that would benefit from further testing as it does not include family history and other factors. A similar approach for colorectal or other cancers will yield additional patients. Conclusion Most cancer patients eligible for breast ovarian genetic testing have not been tested. There is an opportunity to use Tumor Registry and genetic testing data to identify a large number of living patients who can be approached for testing. As we showed in our study, by adopting updated cancer genetic testing guidelines, there is increased opportunity to detect more patients that would benefit from such testing. In our study this benefit is shown especially in the prostate and pancreas cancer groups. Next steps will be to determine how best to notify and make testing available to these patients. Table 1. Testing Status Comparison Assessing Genetic Testing Rates Using Tumor Registry Among Eligible Patients with Breast, Ovarian/Fallopian/Primary Peritoneum, Pancreas and Prostate cancer as per the New Testing Guidelines Citation Format: Kevin Hughes, Antoine Finianos, Kiersten Meeder. Tumor Registry Guided Genetic Testing: Opportunities Unlocked [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-08-08.

Abstract PS02-05: Trajectories and predictors of peripheral neuropathy after neoadjuvant chemotherapy in a prospective cohort of 11,014 patients with early breast cancer

Abstract Background Peripheral neuropathy (PN) is a debilitating adverse event in patients with early breast cancer (BC) receiving (neo)adjuvant chemotherapy (CT). We harnessed the CANTO cohort study to detail clinical trajectories and explore clinical and genetic predictors of PN. Methods CANTO (CANcer TOxicities - NCT01993498) prospectively enrolled invasive stage I-III BC patients (pts) of 26 French comprehensive cancer centers. Pts were assessed at diagnosis, 3-6 (M6), 12 (M12), 36 (M36), and 60 (M60) months after treatment, defined as completion of surgery, CT or radiotherapy, whichever comes last. At each time point, PN events including paresthesia, sensory and motor neuropathy were collected according to NCI-CTC v4.0 criteria. A genome-wide association study (GWAS) was conducted to identify genetic predictors of PN, using Illumina GSA BeadChips. Minimac4/1000G was used to impute additional single nucleotide polymorphisms (SNPs). After stringent quality control measures, 1,894,475 SNPs with a minor allele frequency (MAF) >0.05 were evaluated. Longitudinal trajectories of PN events were descriptively examined. Statistical associations between each SNP and PN events measured at different time points, and between SNPs and trajectories, were performed with logistic regression assuming a log-additive genetic model. All analyses were adjusted for key clinical parameters and the first ten axes of principal component analysis of the genetic data to control for population stratification. Results Of 12,012 included pts (data lock Aug. 2022), 11,014 (91.7%) were analyzed. Age was < 50 and >65 in 3407 and 2759 pts (31% and 25%, respectively). Overweight/obesity and diabetes were recorded in 5328 (48%) and 458 pts (4%). A neurologic history was observed in 1360 pts (13%). Stage 0-I and II-III were observed in 5356 (49%) and 5512 pts (51%), and 4011 pts had an axillary dissection (37%). CT was administered in 5790 pts (53%), including a taxane (tax) in 5542 pts (96%). Shortly, all grade and grade 2+ PN was observed in 29% and 12%; 27% and 10%; 20% and 10%; 13% and 10% of pts at M6, M12, M36 and M60, respectively. We derived 5 trajectories of overall PN, deemed “never”, “always”, “appears”, “transient” and “disappears”, in respectively 54%, 10%, 9%, 7% and 19% of the pts. Similar trajectories were built for the 3 categories of PN events. We built 9 predictive nomograms including key clinical parameters and time of analysis. E.g., grade 2+ PN at M6 was independently predicted by a medical history of carpal tunnel syndrome, past neurologic history and exposure to tax. Grade 2+ PN at M36 was predicted by past neurologic history and exposure to tax, and largely by previous PN at M6 or M12. The GWAS analysis included 7633 pts (84%). Four independent SNPs adding predictive value to the clinical nomograms were identified at a suggestive level of association (p < 1e-6), including one SNP in the NCAM1 gene (involved in neurogenesis) for M6 PN (OR=1.40, 95%CI 1.23-1.60, p=4.8e-7, see table) and one SNP in the CLDN11 gene (regulates oligodendrocytes) for M12 sensory PN (OR=1.32; 95%CI 1.17-1.49, p=7.5e-6). For rare ( < 5%) toxicities, 10 independent suggestive SNPs were identified, including one SNP in the NELL1 gene (neural cell growth regulation and differentiation) for the “always” trajectory (OR=1.61, 95%CI 1.31-1.99, p=7.6e-6) and one SNP in the KCNIP1 gene (neuronal sensor) for M36 motor PN (OR=1.5, 95%CI 1.7-3.5, p=3.1e-07). Conclusions Risk of early peripheral neuropathy is associated with previous neurological history and taxane exposure. Patients with PN at M6 or M12 are highly exposed to long-term PN. Some key SNPs may add independent predictive value for specific PN endpoints. Exploratory results of interest were produced for rarer toxicities and typical clinical trajectories. Detailed results will be presented at the meeting. All PN, M6 Multivariate analyses of the risk of peripheral neuropathy, all grades, at M6, without and with GWAS input. Citation Format: Youenn Drouet, Emilie Thomas, Florence Lerebours, Barbara Pistilli, Olivier Trédan, Christelle Jouannaud, Marion Fournier, Philippe Rouanet, Laurence Vanlemmens, CHARLES COUTANT, Asma Dhaini Merimeche, Baptiste Sauterey, Christelle Levy, Mario Campone, Carole Tarpin, Marie-Ange Mouret-Reynier, Olivier Rigal, Thierry Petit, Sophie Guillermet, Antoine Arnaud, Mahmoud Ibrahim, Sylvie Giacchetti, Florence Dalenc, Johanna Wassermann, Olivier Arsène, Ariane Darut-Jouve, Sibille Everhard, Ines Vaz Luis, Anne-Laure Martin, Fabrice André, Jean-François Deleuze, Alain Viari, Matthieu Carton, Paul Cottu. Trajectories and predictors of peripheral neuropathy after neoadjuvant chemotherapy in a prospective cohort of 11,014 patients with early breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS02-05.

Abstract PO4-14-05: Germline and acquired genetic variants and long-term cancer-related fatigue among survivors of early-stage breast cancer (BC)

Abstract BACKGROUND: Previous studies suggested that bio-behavioral models explain part of the variability of cancer-related fatigue, and pro-inflammatory and age-related processes emerged as contributors to persistent fatigue. However, the biological underpinnings of this complex symptom, including its relevant genomic correlates, are still poorly understood. We aimed to comprehensively explore the association of genetic variants with long-term cancer-related fatigue. METHODS: We used the prospective, multicenter, longitudinal CANcer TOxicity cohort, enrolling patients at diagnosis of stage I-III BC (NCT01993498). Outcomes included severe (≥40/100) global (EORTC QLQ-C30) as well as physical, emotional, and cognitive (FA12) fatigue at year (Y)1, Y2, and Y4 after BC diagnosis. Applying a hypothesis-driven approach, we investigated (i) germline genetic variants in a pre-specified Genetic Risk Index (GRI) assaying expression-regulating single nucleotide polymorphisms (SNPs) in the promoter regions of 3 pro-inflammatory cytokine genes (IL1B [rs16944], IL6 [rs1800795], and TNF [rs1800629]; Bower J, JCO 2013; N=9035), and (ii) age-related expansions of hematopoietic clones carrying recurrent acquired mutations, commonly defined as clonal hematopoiesis of indeterminate potential (CHIP; NGS with unique molecular identifiers for 17 genes [including DNMT3A, TET2, ASXL1, PPM1D, ATM, JAK2, and TP53]; N=1219). The contribution of GRI and CHIP to fatigue was assessed by multivariable logistic regression models. Taking an agnostic approach, we then performed a genome-wide association study (GWAS) of fatigue and 1,894,511 germline SNPs (Illumina InfiniumExome24/Illumina GSA24; N=9056). All genetic variants were assessed at BC diagnosis. Tested associations were adjusted by validated clinical predictors (Di Meglio A, JCO 2022). RESULTS: In the overall cohort (N=9056) mean age was 56.5 years (SD 11.2), 51.0% had stage II or III BC, 52.6% received chemotherapy, and 82.1% endocrine therapy. The prevalence of severe fatigue was 26.1% at diagnosis and increased to 36.5%, 34.3%, and 32.6% at Y1, Y2, and Y4 after diagnosis, respectively. Most patients (77.4%) had 3-6 high-frequency alleles across the 3 SNPs in the pro-inflammatory GRI. Among patients with available CHIP data, 15.2% and 3.7% had a Variant Allele Frequency (VAF) >2% and >10%, respectively. The pro-inflammatory GRI was not associated with fatigue outcomes. We found significant associations between CHIP and severe long-term global fatigue at Y4 (adjusted OR [95%CI]: VAF ≥2% vs < 2%, 1.64 [1.08-2.51], p=0.021; VAF ≥10% vs < 10%, 2.22 [1.00-4.94], p=0.050). The GWAS identified several regions (each including ≥2 SNPs) as associated with severe fatigue outcomes (suggestive p-value cut-off < 5 × 10−5; see Table for number of identified regions by outcome and respective nearby genes). Overlap in biological pathways was observed in some of the gene regions associated with global and physical fatigue, but not for emotional or cognitive fatigue. Common biological processes that were associated (FDR < 0.05) with such genes included synaptic transmission, hemoglobin-oxygen binding, and response to stress. CONCLUSIONS: This study provides suggestive association data between gene variants and long-term cancer-related fatigue. While previously reported associations with pro-inflammatory GRI were not confirmed, some biological processes that may inform the mechanistic understanding of this symptom emerged, including associations with aging and response to stress that warrant further exploration. ///: marks different regions. All association analyses were adjusted by age, body mass index, smoke behavior, pre-treatment fatigue, pain, insomnia, and anxiety, and by the first ten axes of principal component analysis of the genetic data to control for population stratification. There was no overlap in biological pathways for the gene regions associated with emotional or cognitive fatigue (gene regions not shown). Table. Genes in proximity of regions associated with severe fatigue outcomes Citation Format: Antonio Di Meglio, Emilie Thomas, Youenn Drouet, Jean-Baptiste Micol, Davide Soldato, Maria Alice Franzoi, Martina Pagliuca, Julie Havas, Anne-Laure Martin, Sibille Everhard, Celine Besse, Anne Boland, Christophe Marzac, Nathalie Droin, Sandrine Boyault, Marina Rousseau, Olivier Trédan, Paul Cottu, Christelle Jouannaud, Marion Fournier, Laurence Vanlemmens, Charles Coutant, Asma Dhaini Merimeche, Baptiste Sauterey, Florence Joly, Mario Campone, Florence Lerebours, Marie-Ange Mouret-Reynier, Olivier Rigal, Thierry Petit, Sophie Guillermet, Antoine Arnaud, Mahmoud Ibrahim, Sylvie Giacchetti, Florence Dalenc, Johanna Wassermann, Olivier Arsène, Ariane Darut-Jouve, Aurélie Bertaut, Fabrice André, Jean-Francois Deleuze, Alain Viari, Ines Vaz Luis. Germline and acquired genetic variants and long-term cancer-related fatigue among survivors of early-stage breast cancer (BC) [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-14-05.

Abstract PO2-12-08: Increased burden of genetic variants in idiopathic cardiomyopathy genes is associated with cancer therapy-related cardiomyopathy

Abstract Background: Breast cancer (BC) patients are at significant risk of therapy-related cardiotoxicity, but prediction of which patients will experience cardiotoxicity and the severity of the outcome are lacking. We hypothesized that germline genetic variants are potential risk factors for cancer treatment-related cardiomyopathy (CTRC) and in this study, we focused on rare non-synonymous variants within 57 genes deemed causative of familial and sporadic forms of idiopathic cardiomyopathies. Methods: We developed a clinical database and biorepository for patients receiving any potentially cardiotoxic cancer therapy at Mayo Clinic Florida. Enrollment is ongoing and includes consent to access external records. Patient data is extracted from records at baseline, completion of treatment and then once per year. The clinical database includes the following datasets: demographics, pathology, chemotherapy, radiation, echocardiography, cardiac MRI, PET/CT scan, blood pressure, BMI, labs, treatment complications. Treatment complications includes pre-existing conditions (smoking, alcohol and drug use history, hypertension, diabetes, coronary artery disease, hyperlipidemia, prior stroke or myocardial infarction, peripheral vascular disease, renal failure); cardiac medications at baseline; cardiac side-effects; time to cardiotoxicity; cardiotoxicity interventions and outcomes. Exome sequencing was performed by the Mayo Clinic NGS core on the first 86 patients in the registry, average of ~120x read depth following Illumina’s standard protocol for the NovaSeq 6000 and S4 flow cell. Genomic variants were extracted for 57 genes known to be causative of dilated, hypertrophic and arrhythmogenic right ventricular cardiomyopathies and channelopathies. Putative risk variants in known cardiomyopathy genes were defined as non-synonymous variants with a frequency of < 0.0004 in the GnomAD database. We compared the number of patients with putative risk variants in those groups with and without CTRC. Results: 84/86 patients had BC diagnosis. Key characteristics are described in the table below. 60/86 (70%) patients had at least one putative risk variant in one of 31 genes (there were no risk variants identified in 27/57 genes). The average number of putative risk variants per patient within the CTRC group was higher than that observed in patients without CTRC (2.06 vs 1.62). Post-hoc analysis suggested this difference is largely from patients with >2 risk variants in the group who experienced CTRC (N=7/17, 41%) compared to those who did not (N=14/69, 20%), p=0.023. Conclusions: Rare missense variants in the causative genes of idiopathic cardiomyopathies are potential risk factors for CTRC and risk may be increased in patients with a higher burden of variants. Analysis of the genetic data from patients that continue to be accrued in this study, including effects of additional clinical risk factors will be undertaken to improve prediction of cardiotoxicity. Table 1 Distribution of putative cardiomyopathy genetic variants in 86 cancer patients with and without treatment-related cardiomyopathy, separated by treatment regimen Citation Format: Nadine Norton, Thien Nguyen, Joseph Reddy, Jinky Harvey, Morgan Weidner, Amanda Arnold, Lily Evans, Laura Vallow, Pooja Advani. Increased burden of genetic variants in idiopathic cardiomyopathy genes is associated with cancer therapy-related cardiomyopathy [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-12-08.

Abstract PO5-07-03: Integrating mechanism-based and data-driven modeling to predict the response of triple negative breast cancer to therapy

Abstract Introduction Neoadjuvant chemotherapy (NAC) is the standard-of-care (SOC) for patients with locally advanced triple-negative breast cancer (TNBC) [1]. Unfortunately, only about half of TNBC patients achieve a pathological complete response (pCR) at the completion of NAC [2]. With the recent FDA approval of immunotherapy, the response rate improved by about 8% [3]. To try to further improve NAC response rates, we build upon methods that predict treatment response to optimize interventions and outcomes. Our previous studies have demonstrated that excellent predictive accuracy of TNBC response to NAC was achieved through calibrating mechanism-based models to both pre- and on- treatment imaging data [4]. However, by requiring on-treatment imaging data, therapy optimization can only occur after a patient begins NAC. Here, our goal is to relax the requirement of on-treatment imaging data such that we can predict, and potentially optimize, a patient’s response to NAC before initiating it. We will accomplish this through combining data-driven approaches with mechanism-based modeling to obtain spatiotemporal predictions of tumor response prior to NAC. More specifically, we integrate a reaction-diffusion equation based mathematical model with a U-Net based convolutional neural network (CNN). Methods The reaction-diffusion equation models the development of tumor cellularity over time as the sum of tumor cell diffusion, controlled by a fixed diffusivity, and tumor cell proliferation, controlled by a calibrated net proliferation rate. The net proliferation rate implicitly accounts for both proliferative and drug induced death effects. We calibrated the net proliferation rates in this model on a patient-specific basis for 128 patients from the ARTEMIS trial (NCT02276443) using three imaging timepoints – pre- (V1), post two cycles (V2), and post four cycles (V3) of A/C. We then employed a CNN to characterize the relationship between the calibrated net proliferation rates and the pre-treatment imaging data. The CNN takes pretreatment imaging inputs of the apparent diffusion coefficient map, percent enhancement maps from the dynamic contrast enhanced MRI timecourse, and precontrast T1 map. The CNN outputs an estimate of the calibrated net proliferation rate which can be used to run the mathematical model forward in time to predict cellularity maps at V2/3. In training the CNN, our loss considers both the concordance correlation coefficient (CCC) and the normalized root mean square error (NRMSE). We calculated loss on the net proliferation rate predictions as NRMSE with a CCC penalty to aid in characterizing the non-Gaussian distribution of the net proliferation rate. We calculated loss on the cellularity predictions as the CCC between predicted and measured voxel-wise cellularity. The CNN was trained using the Adam optimizer and a fivefold cross validation with a withheld test set of 26 patients. Results Using the CNN predictions to forward run the mechanism-based model in time to V3 we calculated change in total tumor cellularity and volume from V1 to V3. In the test cohort, we obtained CCC values between the predicted and measured changes of 0.95 and 0.91 for cellularity and volume, respectively. Discussion and summary Through integrating mechanistic modeling and deep learning, we can accurately predict the spatiotemporal development of TNBC response to NAC using only pretreatment imaging data. We will build upon these results by expanding our model to include separate proliferation and drug induced death terms to allow for therapy intervention and optimization. Additionally, we will incorporate other pretreatment data types including genetic data. [1] Liedtke et al., J of Clin Oncol, 2008. [2] Spring et al., Clin Cancer Res, 2020. [3] Schmid et al., NEJM, 2020. [4] Wu et al., Cancer Res, 2022. Citation Format: Casey Stowers, Chengyue Wu, Sidharth Kumar, Zhan Xu, Clinton Yam, Jong Bum Son, Jingfei Ma, Jonathan Tamir, Gaiane Rauch, Thomas Yankeelov. Integrating mechanism-based and data-driven modeling to predict the response of triple negative breast cancer to therapy [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-07-03.

Intraspecific diversity of Meriones persicus (Rodentia; Gerbillinae), the main plague reservoir in Iran, and its connection to enzootic plague in Iran.

Plague, a lethal zoonotic disease, primarily circulates within rodent populations and their fleas. In Iran, the widely distributed jird, Meriones persicus, serves as the principal reservoir for plague, with a belief in the existence of five out of its six recognized subspecies within the country. However, these subspecies are classified into four mitochondrial cytochrome b sub-lineages (IA, IB, IIA, IIB). This discrepancy, combined with the presence of an unnamed sub-lineage in central Iran awaiting taxonomic clarification, has left intraspecific taxonomy unsettled and obscured the true alignment between mtDNA sub-lineages and nominal subspecies. In this study, we investigated the intraspecific variation in the cytb gene across populations sampled throughout Iran, focusing on underexplored regions between the Zagros and Alborz Mountains and central Iran. While our genetic data generally support reported subspecies validity in Iran, we raise questions about M. p. baptistae, emphasizing the need for further data from its type territory in Pakistan. Two main lineages of M. persicus (I and II) exhibit geographical isolation, with limited overlap in the central Zagros Mts., where three subspecies (M. p. ambrosius, M. p. rossicus, and M. p. persicus) coexist. Superimposing infected rodents' geographic coordinates onto updated sub-lineages' distribution revealed a potential association between sub-lineage IA (M. p. rossicus) and all enzootic plague cases from 1946 to 2023. M. persicus rossicus extends into the Caucasus (where plague infections are common), Eastern Turkey, and Iraq. Consequently, interpreting this finding in the context of plague surveillance in Iran and neighboring areas requires caution.

Polygenic risk-stratified screening for nasopharyngeal carcinoma in high-risk endemic areas of China: a cost-effectiveness study

BackgroundNasopharyngeal carcinoma (NPC) has an extremely high incidence rate in Southern China, resulting in a severe disease burden for the local population. Current EBV serologic screening is limited by false positives, and there is opportunity to integrate polygenic risk scores for personalized screening which may enhance cost-effectiveness and resource utilization.MethodsA Markov model was developed based on epidemiological and genetic data specific to endemic areas of China, and further compared polygenic risk-stratified screening [subjects with a 10-year absolute risk (AR) greater than a threshold risk underwent EBV serological screening] to age-based screening (EBV serological screening for all subjects). For each initial screening age (30–34, 35–39, 40–44, 45–49, 50–54, 55–59, 60–64, and 65–69 years), a modeled cohort of 100,000 participants was screened until age 69, and then followed until age 79.ResultsAmong subjects aged 30 to 54 years, polygenic risk-stratified screening strategies were more cost-effective than age-based screening strategies, and almost comprised the cost-effectiveness efficiency frontier. For men, screening strategies with a 1-year frequency and a 10-year absolute risk (AR) threshold of 0.7% or higher were cost-effective, with an incremental cost-effectiveness ratio (ICER) below the willingness to pay (¥203,810, twice the local per capita GDP). Specifically, the strategies with a 10-year AR threshold of 0.7% or 0.8% are the most cost-effective strategies, with an ICER ranging from ¥159,752 to ¥201,738 compared to lower-cost non-dominated strategies on the cost-effectiveness frontiers. The optimal strategies have a higher probability (29.4–35.8%) of being cost-effective compared to other strategies on the frontier. Additionally, they reduce the need for nasopharyngoscopies by 5.1–27.7% compared to optimal age-based strategies. Likewise, for women aged 30–54 years, the optimal strategy with a 0.3% threshold showed similar results. Among subjects aged 55 to 69 years, age-based screening strategies were more cost-effective for men, while no screening may be preferred for women.ConclusionOur economic evaluation found that the polygenic risk-stratified screening could improve the cost-effectiveness among individuals aged 30–54, providing valuable guidance for NPC prevention and control policies in endemic areas of China.

Proteomic Characterization of Undifferentiated Small Round Cell Sarcomas with EWSR1- and CIC::DUX4-Translocations Reveals Diverging Tumor Biology and Distinct Diagnostic Markers.

Undifferentiated small round cell sarcomas of bone and soft tissue (USRS) are a group of tumors with heterogenic genomic alterations sharing similar morphology. In the present study, we performed a comparative large-scale proteomic analysis of USRS (n=42) with diverse genomic translocations including classic Ewing sarcomas with EWSR1::FLI1 fusions (n=24) or EWSR1::ERG - fusions (n=4), sarcomas with an EWSR1 - rearrangement (n=2), CIC::DUX4 fusion (n=8), as well as tumors classified as USRS with no genetic data available (n=4). Proteins extracted from formalin-fixed, paraffin-embedded (FFPE) pretherapeutic biopsies were analyzed qualitatively and quantitatively using shot gun mass spectrometry (MS). More than 8000 protein groups could be quantified using data-independent acquisition. Unsupervised hierarchical cluster analysis based on proteomic data allowed stratification of the 42 cases into distinct groups reflecting the different molecular genotypes. Protein signatures that significantly correlated with the respective genomic translocations were identified and used to generate a heatmap of all 42 sarcomas with assignment of cases with unknown molecular genetic data to either the EWSR1- or CIC-rearranged groups. MS-based prediction of sarcoma subtypes was molecularly confirmed in two cases where next-generation sequencing was technically feasible. MS also detected proteins routinely used in the immunohistochemical approach for the differential diagnosis of USRS. BCL11B highly expressed in Ewing sarcomas and Bach2 as well as ETS-1 highly expressed in CIC::DUX4-associated sarcomas, were among proteins identified by the present proteomic study and were chosen for immunohistochemical confirmation of MS data in our study cohort. Differential expression of these 3 markers in the two genetic groups were further validated in an independent cohort of n= 34 USRS. Finally, our proteomic results point towards diverging signaling pathways in the different USRS subgroups.

Epidemiology and molecular characterization of adult genetic myopathies in a southeastern region of Spain.

Genetic myopathies constitute a collection of rare diseases that significantly impact patient functionality and quality of life. Early diagnosis of genetic myopathies can prevent future complications and provide families with genetic counselling. Despite the substantial impact of genetic myopathies on the adult population, the global epidemiology of these disorders is inadequately addressed in the literature. To enhance understanding of both the epidemiology and genetics of these disorders within the province of Alicante, situated in southeastern Spain. Between 2020 and 2022, a prospective observational study was conducted at the Alicante Health Area-General Hospital, enrolling patients aged 16 years or older with suspected genetic myopathies. Sociodemographic, clinical, and genetic data were collected. The reference date for prevalence calculation was established as December 31, 2022. Official demographic data of the health area were used to set the population at risk. In total, 83 patients were identified with confirmed genetically related myopathy, resulting in an overall prevalence of 29.59 cases per 100,000 inhabitants. The diagnostic yield for molecular genetic testing was found to be 69.16%. The most prevalent genetic myopathies identified included myotonic dystrophy (27.5%), dystrophinopathies (15.7%), and facioscapulohumeral dystrophy (15.7%). The prevalence of GMs can vary considerably depending on the geographical region and the studied population. The analysis of diagnostic yield suggests that genetic studies should be considered useful in the diagnosis of genetic myopathies.

Genetic predictors of population resilience: A case study of native Brook Trout in headwater streams

AbstractObjectivePopulations of eastern Brook Trout Salvelinus fontinalis face threats from several sources, such as habitat fragmentation, climate change, and competition with introduced salmonids. As a native species, understanding how these populations will respond to disturbances is paramount to their management and effective conservation. A population's ability to respond to disturbance, its resilience, is influenced by several factors. One such group of factors is population genetics.MethodsWe calculated population resilience metrics based on transient dynamics using population projection matrix models. Long‐term demographic data from 23 headwater stream Brook Trout populations were used to parameterize models. Genetic data were collected, and genetic indices were calculated. Partial redundancy analysis was then used to evaluate relationships between resilience metrics and genetic indices.ResultInbreeding coefficient, rarefied allelic richness, pairwise genetic differentiation (FST), and effective population size were all found to be important variables in predicting resilience.ConclusionOur results suggest that genetic isolation may increase the demographic resilience in Brook Trout through faster generation times and higher juvenile survival, but this likely comes at the cost of increased extinction risk and truncated size structures. Genetic indices can provide insight into gene flow between populations, thus the relationship between population connectivity and resilience. Given the importance of connectivity to population resilience, restoring and maintaining movement corridors could affect resilience in headwater Brook Trout populations.