Copy Number Variation Research Articles

Prenatal diagnosis of fetuses with 15q11.2 BP1-BP2 microdeletion in the Chinese population: a seven-year single-center retrospective study

BackgroundThe 15q11.2 BP1-BP2 microdeletion syndrome is associated with developmental delays, language impairments, neurobehavioral disorders, and psychiatric complications. The aim of the present study was to provide prenatal and postnatal clinical data for 16 additional fetuses diagnosed with the 15q11.2 BP1-BP2 microdeletion syndrome in the Chinese population.MethodsA total of 5,789 pregnancy women that underwent amniocentesis were enrolled in the present study. Both karyotype analysis and chromosomal microarray analysis (CMA) were conducted on these subjects to detect chromosomal abnormalities and copy number variants (CNVs). Whole exome sequencing (WES) was performed to investigate sequence variants in subjects with clinical abnormalities after birth.ResultsSixteen fetuses with 15q11.2 BP1-BP2 microdeletion were identified in the present study, with a detection rate of 0.28% (16/5,789). The 15q11.2 BP1-BP2 microdeletion fragments ranged from 311.8 kb to 849.7 kb, encompassing the NIPA1, NIPA2, CYFIP1, and TUBGCP5 genes. The follow-up results regarding pregnancy outcomes showed that five cases opted for pregnancy termination, while the remaining cases continued with their pregnancies. Subsequent postnatal follow-up indicated that only one case with the 15q11.2 BP1-BP2 microdeletion displayed neurodevelopmental disorders, demonstrating an incomplete penetrance rate of 9.09% (1/11).ConclusionThe majority of fetuses with the 15q11.2 microdeletion exhibit typical features during early childhood, indicating a low penetrance and mild impact. Nonetheless, pregnancies involving fetuses with the 15q11.2 microdeletion require thorough prenatal counseling. Additionally, enhanced supervision and extended postnatal monitoring are warranted for those who choose to proceed with their pregnancies.

Analysis of ductal carcinoma in situ by self-reported race reveals molecular differences related to outcome

BackgroundDuctal carcinoma in situ (DCIS) is a non-obligate precursor to invasive breast cancer (IBC). Studies have indicated differences in DCIS outcome based on race or ethnicity, but molecular differences have not been investigated.MethodsWe examined the molecular profile of DCIS by self-reported race (SRR) and outcome groups in Black (n = 99) and White (n = 191) women in a large DCIS case-control cohort study with longitudinal follow up.ResultsGene expression and pathway analyses suggested that different genes and pathways are involved in diagnosis and ipsilateral breast outcome (DCIS or IBC) after DCIS treatment in White versus Black women. We identified differences in ER and HER2 expression, tumor microenvironment composition, and copy number variations by SRR and outcome groups.ConclusionsOur results suggest that different molecular mechanisms drive initiation and subsequent ipsilateral breast events in Black versus White women.

Does combining numerous data types in multi-omics data improve or hinder performance in survival prediction? Insights from a large-scale benchmark study

BackgroundPredictive modeling based on multi-omics data, which incorporates several types of omics data for the same patients, has shown potential to outperform single-omics predictive modeling. Most research in this domain focuses on incorporating numerous data types, despite the complexity and cost of acquiring them. The prevailing assumption is that increasing the number of data types necessarily improves predictive performance. However, the integration of less informative or redundant data types could potentially hinder this performance. Therefore, identifying the most effective combinations of omics data types that enhance predictive performance is critical for cost-effective and accurate predictions.MethodsIn this study, we systematically evaluated the predictive performance of all 31 possible combinations including at least one of five genomic data types (mRNA, miRNA, methylation, DNAseq, and copy number variation) using 14 cancer datasets with right-censored survival outcomes, publicly available from the TCGA database. We employed various prediction methods and up-weighted clinical data in every model to leverage their predictive importance. Harrell’s C-index and the integrated Brier Score were used as performance measures. To assess the robustness of our findings, we performed a bootstrap analysis at the level of the included datasets. Statistical testing was conducted for key results, limiting the number of tests to ensure a low risk of false positives.ResultsContrary to expectations, we found that using only mRNA data or a combination of mRNA and miRNA data was sufficient for most cancer types. For some cancer types, the additional inclusion of methylation data led to improved prediction results. Far from enhancing performance, the introduction of more data types most often resulted in a decline in performance, which varied between the two performance measures.ConclusionsOur findings challenge the prevailing notion that combining multiple omics data types in multi-omics survival prediction improves predictive performance. Thus, the widespread approach in multi-omics prediction of incorporating as many data types as possible should be reconsidered to avoid suboptimal prediction results and unnecessary expenditure.

Single Nucleotide Polymorphism array analysis for fetuses from balanced translocation carriers at the second trimester

Prenatal diagnosis is crucial for pregnancies from couples with a carrier of a balanced translocation. We retrospectively reviewed 195 pregnancies from 189 couples with a balanced translocation carrier. Of these, 126 were from natural conception, while 69 were conceived through assisted reproductive technology (ART) with preimplantation genetic diagnosis (PGD). Both single nucleotide polymorphism (SNP) array analysis and conventional karyotyping were conducted on all pregnancies, and karyotype-visible imbalances and pathogenic/likely pathogenic copy number variations (CNVs) were categorized as clinically significant abnormalities. In natural conception group, couples with a female carrier experiencing more than two miscarriages accounted for 30.2%, significantly higher than the 14.0% in male carrier couples (p<0.05). In the PGD group, similar difference was observed between female and male carrier couples (p<0.05). In the natural pregnancies, SNP array analysis yielded additional 12 cases of CNVs, including two cases of pathogenic (P)/likely pathogenic (LP) aberrations, four variants with uncertain significance (VUS), and six likely benign variants. Only two CNVs were found to be associated with translocation breakpoints, which were finally confirmed to be of parental inheritance. In the PGD pregnancies, two cases of VUS unrelated to the translocation breakpoints were revealed. Taken together, repeated miscarriage was more frequently observed in couples where the carrier was female than male. Conventional SNP array analysis in prenatal diagnosis indicated insufficient evidence to support the notion that balanced translocations increase the likelihood of fetuses having clinically significant CNVs.

Unusual Maternal and Fetal Findings With Cell-Free DNA Screening.

With advances in prenatal cell-free DNA (cfDNA) technology, the information available with cfDNA continues to expand beyond the common fetal aneuploidies such as trisomies 21, 18, and 13. Due to the admixture of maternal and fetal/placental DNA, prenatal cfDNA remains a screening test with the possibility of false-positive and false-negative results. This review aims to summarize unusual incidental maternal and fetal genomic abnormalities detectable by cfDNA and to provide anticipatory guidance regarding management. Of 140 articles identified with keywords such as "incidental" and "discordant" cfDNA, 55 original research articles, review articles, case series, and societal guidelines were reviewed. Prenatal cfDNA may incidentally identify a spectrum of maternal genomic abnormalities such as malignancy, mosaicism, and copy number variants. When discordant with fetal diagnosis, these cases require additional investigation with maternal genetic testing and follow-up evaluation. Such incidental fetal/placental abnormalities may include rare autosomal trisomies, uniparental disomy, and triploidy. Further evaluation of fetal/placental abnormalities can be pursued with a combination of ultrasound and prenatal diagnosis with chorionic villous sampling and/or amniocentesis. Societal guidelines do not currently recommend cfDNA screening for rare autosomal trisomies, microdeletions, or copy number variants, and some experts suggest that sex chromosome screening should be opted in after counseling. Knowledge about possible incidental findings with prenatal cfDNA is needed to inform pretest and posttest counseling with appropriate follow-up evaluation. As cfDNA technology has advanced to include genome-wide findings, it is important for clinicians, genetic counselors, and societal guidelines to acknowledge the spectrum of possible results outside of the traditional and sex chromosome aneuploidies.

Comparing the Diagnostic Yield of Germline Exome Versus Panel Sequencing in the Diverse Population of the Texas KidsCanSeq Pediatric Cancer Study.

To evaluate the relative diagnostic yield of clinical germline genomic tests in a diverse pediatric cancer population. The KidsCanSeq study enrolled pediatric cancer patients across six sites in Texas. Germline analysis included both exome sequencing and a therapy-focused pediatric cancer gene panel. The results were categorized by participants demographics, the presence of pathogenic or likely pathogenic (P/LP) variants, and variants of uncertain significance (VUS) in cancer predisposition genes (CPGs). Pediatric actionable CPGs were defined as those with cancer surveillance recommendations during childhood. Cancer P/LP variants were reported by at least one platform in 103 of 578 (17.8%) participants of which 76 were dominant cancer genes (13.1%) with no significant differences by self-described race or Hispanic ethnicity. However, the proportion of participants with VUS was greater in Asian and African American participants (P = .0029). Diagnostic yield was 16.6% for exome versus 8.5% for panel (P < .0001) with 42 participants with concordant germline results. Exome-only results included P/LP variants in 30 different CPGs in 54 participants, whereas panel-only results included seven participants with a copy number or structural P/LP variants in CPGs. There was no significant difference in diagnostic yield limited to pediatric actionable CPGs (P = .6171). Approximately 18% of a diverse pediatric cancer population had germline diagnostic findings with 50% of P/LP variants reported by only one platform because of CPGs not on the targeted panel and copy number variants (CNVs)/rearrangements not reported by exome. Although diagnostic yields were similar in this diverse population, increases in VUS results were observed in Asian and African American populations. Given the clinical significance of CNVs/rearrangements in this cohort, detection is critical to optimize germline analysis of pediatric cancer populations.

Genetic disorders and their association with morbidity and mortality in early preterm small for gestational age infants

BackgroundEarly preterm (< 34 weeks gestation) small for gestational age infants (< 10th percentile birth weight for sex and gestational age) experience high rates of morbidity and mortality, the causes of which are poorly understood. Mounting evidence suggests that genetic disorders contribute. Scarce data exist regarding the prevalence of genetic disorders and their contribution to morbidity and mortality. ObjectiveThis study aimed to determine the proportion of genetic disorders in early preterm small for gestational age infants (with and without congenital anomalies) compared to early preterm appropriate for gestational age infants and the association of genetic disorders with morbidity or mortality. Study DesignThis is a retrospective cohort study of infants delivered at 23 and 0/7 to 33 and 6/7 weeks’ gestation from 2000–2020 from the Pediatrix Clinical Data Warehouse. Data included diagnosed genetic disorders and congenital anomalies, baseline characteristics, and morbidity or mortality. We excluded cases of death in the delivery room before NICU admission, multiple gestations, and cases transferred after birth or before death or discharge. ResultsWe identified 223,431 early preterm infants, including 21,180 small for gestational age. Genetic disorders were present in 441 (2.3%) of small for gestational age infants without congenital anomalies, in 194 (10.8%) of small for gestational age infants with congenital anomalies, and in 304 (4.5%) of small for gestational age infants that experienced morbidity or mortality (with or without congenital anomalies). Trisomies 13, 18, and 21 were the most prevalent genetic disorders in these groups, together accounting for 145 small for gestational age infants without congenital anomalies, 117 small for gestational age infants with congenital anomalies, and 166 small for gestational age infants with morbidity or mortality (with or without congenital anomalies). Less prevalent genetic disorders consisted of other aneuploidy (45, X and 47, XXY), copy number variants (13q14 deletion syndrome, cri du chat syndrome, DiGeorge syndrome) and single gene disorders (cystic fibrosis, Fanconi anemia, G6PD deficiency, hemophilia, hypophosphatasia, sickle cell disease, and thalassemia). Comparatively, genetic disorders were found in 1792 (1.0%) appropriate for gestational age infants without congenital anomalies, in 572 (5.8%) appropriate for gestational age infants with congenital anomalies, and 809 (2.0%) appropriate for gestational age infants that experienced morbidity or mortality (with or without congenital anomalies). Genetic disorders were associated with an adjusted odds ratio (95% confidence interval) of 2.10 (1.89–2.33) of isolated small for gestational age and 12.84 (11.47–14.35) of small for gestational age accompanied by congenital anomalies. Genetic disorders were associated with an adjusted odds ratio of 2.24 (1.83–2.74) of morbidity or mortality. ConclusionsThese findings suggest that genetic disorders are more prevalent in early preterm small for gestational age infants, particularly those with congenital anomalies. These findings also suggest that genetic disorders are associated with increased morbidity and mortality. These associations were primarily driven by trisomies 13, 18, and 21. Genetic diagnoses in this cohort were made through routine clinical care, principally via karyotype, chromosomal microarray, and single gene-testing. These findings support evolving clinical guidelines for genetic testing of small for gestational age infants. Our study is limited due to the lack of prospective, genome-wide testing.

Heat shock transcription factor 1 facilitates liver cancer progression by driving super-enhancer-mediated transcription of MYCN.

Heat shock transcription factors (HSFs) play crucial roles in the development of malignancies. However, the specific roles of HSFs in hepatocellular carcinoma (HCC) have yet to be fully elucidated. To explore the involvement of the HSF family, particularly HSF1, in the progression and prognosis of HCC. We conducted a thorough analysis of HSF expression and copy number variations across various cancer datasets. Specifically focusing on HSF1, we examined its expression levels and prognostic implications in HCC. Invitro and invivo experiments were carried out to evaluate the impact of HSF1 on liver cancer cell proliferation. Additionally, we utilized CUT&Tag, H3K27 acetylation enrichment, and RNA sequencing (RNA-seq) to investigate the super-enhancer (SE) regulatory landscapes of HSF1 in liver cancer cell lines. HSF1 expression is elevated in HCC and is linked to poor prognosis in several datasets. HSF1 stimulates liver cancer cell proliferation both invitro and invivo, partly through modulation of H3K27ac levels, influencing enhancer distribution. Mechanistically, our findings demonstrate that HSF1 transcriptionally activates MYCN expression by binding to its promoter and SE elements, thereby promoting liver cancer cell proliferation. Moreover, increased MYCN expression was detected in HCC tumors and correlated with unfavorable patient outcomes. Our study sheds light on previously unexplored aspects of HSF1 biology, identifying it as a transcription factor capable of shaping the epigenetic landscape in the context of HCC. Given HSF1's potential as an epigenetic regulator, targeting the HSF1-MYCN axis could open up new therapeutic possibilities for HCC treatment. The HSF1-MYCN axis constitutes a transcription-dependent regulatory mechanism that may function as both a prognostic indicator and a promising therapeutic target in liver cancer. Further exploration of this axis could yield valuable insights into novel treatment strategies for HCC.

Analysis of the role of POC1A in the development and progression of hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the most common and deadly cancers worldwide. POC1 centriolar protein A (POC1A) is a gene encoding a protein that plays a key role in the centrosome, and is one of the two isoforms of POC1. To date, the expression of POC1A in HCC and its potential as a biomarker and tumor therapeutic target have not been examined. This study aimed to explore the effect of POC1A on patients with HCC and its potential mechanism. This study investigated the role of POC1A in the occurrence and development of HCC. It analyzed the expression of POC1A in various types of HCC patients and its effect on survival using HCC patient information from the Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA), the Human Protein Atlas (HPA), and the Hepatocellular Carcinoma Cell DataBase (HCCDB). It then explored the major enrichment pathways and gene functions of POC1A in HCC using the gene set enrichment analysis (GSEA) method and examined its protein-protein interactions (PPIs). Finally, it predicted the potential transcription factors (TFs) and target microRNAs (miRNAs) of POC1A, and analyzed the single nucleotide variation (SNV) and copy number variation (CNV) mutations of POC1A and the related genes in HCC, as well as their effects on immune cells. The results showed that POC1A was significantly overexpressed in HCC and was significantly associated with a poor prognosis. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses indicated that POC1A was mainly involved in the regulation of cell-cycle pathways and chromosome segregation functions. POC1A showed significant interactions with NUDC and PPARG, and they both had different numbers of SNV and CNV mutations in the HCC samples. In relation to immunity, the high expression of POC1A and its reciprocal genes may play an important role in B cells and macrophages. In general, our findings suggest that POC1A overexpression could have an important effect on the development of HCC by regulating cell-cycle pathways, and that it could serve as a novel prognostic biomarker and a potential therapeutic target for HCC.

Genetic Aspects Of Autism Spectrum Disorder

Autism spectrum disorder is a clinically and etiologically heterogeneous group, affecting 1 in 59 children. The etiopathogenesis of these, basically, neurodevelopment disorders, has been the subject of research by numerous researchers for more than two decades, and involves complex genetic, environmental, and epigenetic mechanisms. Hundreds of genes have been identified that contribute to serious deficits in communication, social relations and patient behavior. So the main objective of the paper is to explain the way in which genetic modifiers and epigenetic changes have a key role in modulating the phenotypic spectrum of patients with autism spectrum disorder. The systematic review of literature is based on a review of the available scientific papers. Following PRISMA’s instructions, a systematic review of published papers in the period from 2016 to 2024 was performed. Our study included literature published in the MEDLINE/PubMed database in which the following keywords were used during the search: “autismspectrum disorder”, “pervasive developmental disorder”, “risk factors”, “genetics”, “phenotypic spectrumof ASD”, “genes”, “epigenetic mechanisms”. Тhe obtained results show that the genetic factor increases the risk for development of autism spectrum disorder. More genes have been identified that are involved in the development of autism spectrum disorder, such as: ADNP, ANK2, CHD2, CNTN4, DSCAM, etc. In addition to genetic variants, there is also evidence of de novo gene variants. At the same time, chromosomal deletions or duplications were found in patients, such as the following: 15q11.2, BP1-BP2, 16p11.2 and 15q13.3. Copy number variations are submicroscopic, structural variants in chromosomes that include duplications, deletions, translocations, and inversions, sometimes stretching several kilo bases. Many genes may be affected with these changes, but not all are necessarily drivers of disease. Epigenetic mechanisms, DNA methylation and chemical histone modification are mechanisms that affect gene expression without changing the primary structure of genes. Genetic research so far has enabled us to consider autism spectrum disorder from a different angle, and understand its etiopathogenesis as a complex interaction between genes and environmental factors as a predisposition for its occurrence

Loss of copy numbers of retrotransposons (HERVK) on chromosome 7p11.2 impacts EGFR (Epidermal Growth Factor Receptor)-induced phenotypes for platinum sensitivity and long-term survival in ovarian cancer-A study from the OVCAD consortium.

We analyzed variations in the epidermal growth factor receptor (EGFR) gene and 5'-upstream region to identify potential molecular predictors of treatment response in primary epithelial ovarian cancer. Tumor tissues collected during debulking surgery from the prospective multicenter OVCAD study were investigated. Copy number variations in the human endogenous retrovirus sequence human endogenous retrovirus K9 (HERVK9) and EGFR Exons 7 and 9, as well as repeat length and loss of heterozygosity of polymorphic CA-SSR I and relative EGFR mRNA expression were determined quantitatively. At least one EGFR variation was observed in 94% of the patients. Among the 30 combinations of variations discovered, enhanced platinum sensitivity (n = 151) was found dominantly with HERVK9 haploidy and Exon 7 tetraploidy, overrepresented among patients with survival ≥120 months (24/29, p = .0212). EGFR overexpression (≥80 percentile) was significantly less likely in the responders (17% vs. 32%, p = .044). Multivariate Cox regression analysis, including age, FIGO stage, and grade, indicated that the patients' subgroup was prognostically significant for CA-SSR I repeat length <18 CA for both alleles (HR 0.276, 95% confidence interval 0.109-0.655, p = .001). Although EGFR variations occur in ovarian cancer, the mRNA levels remain low compared to other EGFR-mutated cancers. Notably, the inherited length of the CA-SSR I repeat, HERVK9 haploidy, and Exon 7 tetraploidy conferred three times higher odds ratio to survive for more than 10 years under therapy. This may add value in guiding therapies if determined during follow-up in circulating tumor cells or circulating tumor DNA and offers HERVK9 as a potential therapeutic target.

Beyond nest size: the clinicopathological spectrum of large nested melanocytic tumours and the value of comparative genomic hybridisation and messenger RNA expression analysis

Large nested melanomas (LNMs) are a rare subtype of naevoid melanoma consisting of large junctional melanocytic nests that are more common in older individuals and/or associated with sun damage. However, the presence of large melanocytic nests alone does not lead to a diagnosis of malignancy, ​as they can also be found in melanocytic naevi. LNMs are challenging because they lack most classic histological features of malignancy and require thorough clinicopathological evaluation. This ambiguity calls for a critical reassessment of the current diagnostic criteria for the subclassification of benign or malignant within the spectrum of large nested melanocytic tumours (LNMTs). Eighteen LNMTs and six special-site melanocytic naevi (SSMNs) ​were studied using different approaches: clinical features, dermoscopy, histopathology, immunohistochemistry, array comparative genomic hybridisation (aCGH) and messenger RNA (mRNA) sequencing analysis, with the aim of identifying novel and reproducible criteria for the recognition of LNMs.Careful clinicopathological evaluation of the 18 LNMTs led to the diagnosis of seven LNMs and 11 large nested melanocytic naevi (LNMNs). Lentiginous spread and nest bridging were significantly associated with LNMs after Holm–Bonferroni correction. Asymmetry, largest nest size, poor lateral demarcation, the number of colours and dermoscopic structures, and preferentially expressed antigen in melanoma (PRAME) immunostaining were more common in LNMs but did not reach statistical significance. Four of seven LNMs and nine of 11 LNMNs lacked the BRAF V600E mutation. Regarding aCGH, no LNMN or SSMN cases had ≥3 copy number variations (CNVs), in contrast to 50% of LNM cases. Importantly, LNM and LNMN could be distinguished by differential mRNA expression of nine genes. Our study demonstrates that there is a spectrum of LNMTs and that the clinicopathological diagnosis of LNM, for which we support the term ‘late-onset nested naevoid melanomas’, can be significantly strengthened by the presence of lentiginous pattern, nest bridging, gene CNV and differential mRNA expression.

BCORL1, POF1B, and USP9X copy number variation in women withidiopathic diminished ovarian reserve.

To analyze the copy number variation (CNV) in the X-linked genes BCORL1, POF1B, and USP9X in idiopathic diminished ovarian reserve (DOR). This case-control study included 47 women, 26 with DOR and 21 in the control group. Age, weight, height, BMI, and FSH level were evaluated, as well as antral follicle count (AFC), oocyte retrieval after controlled ovarian stimulation, and metaphase II (MII) oocytes. The CNVs of BCORL1, USP9X, and POF1B genes were measured by quantitative real time PCR (qPCR) using two reference genes, the HPRT1 (X-linked) and MFN2 (autosomal). Protein-protein interaction network and functional enrichment analysis were performed using the STRING database. The mean age was 36.52 ± 4.75 in DOR women and 35.38 ± 4.14 in control. Anthropometric measures did not differ between the DOR and control groups. DOR women presented higher FSH (p = 0.0025) and lower AFC (p < .0001), oocyte retrieval after COS (p = 0.0004), and MII oocytes (p < .0001) when compared to the control group. BCORL1 and POF1B did not differ in copy number between DOR and control. However, DOR women had more copies of USP9X than the control group (p = 0.028). The increase in the number of copies of the USP9X gene may lead to overexpression in idiopathic DOR and contribute to altered folliculogenesis and oocyte retrieval.

TGF-β signaling-related signature for predicting prognosis and therapeutic response in lower-grade glioma.

Low-grade glioma (LGG) is a tumor that includes World Health Organization (WHO) grade II and III glioma, the treatment of which consistently results in relapse and drug resistance. Transforming growth factor-beta (TGF-β) is a multifunctional cytokine that regulates various cellular processes, which is found to be abnormal in tumors and promotes glioma development and progression. In this study, we aimed to systematically evaluate the importance of the genes associated with TGF-β in LGG and discover the role of these genes in the prognosis and treatment response of LGG. We used the "Bioconductor Limma" and "consensusClusterplus" R packages to screen differential and prognostic TGF-β-related genes. The R package "GSVA" was used to estimate the infiltration of immune cells and metabolism signature. The drug sensitivity for each TGF-β subtype was assessed by the R package "pRRophetic". The Genomic Identification of Significant Targets in Cancer (GISTIC) algorithm was used to assess the copy number variation (CNV). The onco-print tool of the "complexheatmap package" was employed to visualize the somatic mutation and copy number alteration (CNA) among TGF clusters. We reported three subtypes (A, B, and C) of LGG according to the classification of TGF-β-related genes, where subtype A showed the best prognosis. Subtype B was highly enriched in immune cells. Somatic variations were observed to be diverse in all of the three TGF-β subtypes. Furthermore, another three genes (SHA, AC062021.1, and SNCG) related to TGF-β were identified, which can be a superior predictor of prognosis with a risk score. LGG can be divided into three subtypes based on TGF-β signaling-related genes with distinct immune infiltration, metabolism, somatic variations, and prognosis.

39P Search for rare copy number variants associated with hereditary breast cancer in Finnish case-control cohorts

39P Search for rare copy number variants associated with hereditary breast cancer in Finnish case-control cohorts

CDKN2A somatic copy number amplification in normal tissues surrounding gastric carcinoma reduces cancer metastasis risk in droplet digital PCR analysis.

The CDKN2A gene is frequently affected by somatic copy number variations (SCNVs, including deletions and amplifications [SCNdel and SCNamp]) in the cancer genome. Using surgical gastric margin tissue samples (SMs) as the diploid reference in SCNV analysis via CDKN2A/P16-specific real-time PCR (P16-Light), we previously reported that the CDKN2A SCNdel was associated with a high risk of metastasis of gastric carcinoma (GC). However, the status of CDKN2A SCNVs in SMs and their clinical significance have not been reported. Peripheral white blood cell (WBC) and frozen GC and SM tissue samples were collected from patients (n = 80). Droplet digital PCR (ddPCR) was used to determine the copy number (CN) of the CDKN2A gene in tissue samples using paired WBCs as the diploid reference. A novel P16-ddPCR system was initially established with a minimal proportion (or limit, 10%) of the detection of CDKN2A CN alterations. While CDKN2A SCNamp events were detected in both SMs and GCs, fewer CDKN2A SCNdel events were detected in SMs than in GCs (15.0% vs. 41.3%, P = 4.77E-04). Notably, significantly more SCNamp and fewer SCNdel of the CDKN2A gene were detected in SMs from GC patients without metastasis than in those from patients with lymph node metastasis by P16-ddPCR (P = 0.023). The status of CDKN2A SCNVs in SM samples was significantly associated with overall survival (P = 0.032). No cancer deaths were observed among the 11 patients with CDKN2A SCNamp. CDKN2A SCNVs in SMs identified by P16-ddPCR are prevalent and significantly associated with GC metastasis and overall survival.

Exploring the prognostic and therapeutic value of HIF1A in lung adenocarcinoma

Lung adenocarcinoma (LUAD) remains a challenge within the realm of non-small cell lung cancer (NSCLC), demanding innovative diagnostic and therapeutic solutions. In this study, we systematically detected the correlation between the expression of hypoxia-induced factor 1A (HIF1A) and the clinical characteristics of LUAD, alongside lung squamous cell carcinoma (LUSC). Our bioinformatic analysis reveals that HIF1A mRNA expression is significantly upregulated in both LUAD and LUSC samples compared to non-tumorous lung tissues. The overexpression is positively correlated with increased copy number variation and negatively associated with promoter methylation. However, meta-analysis and survival analyses revealed a pronounced association between elevated HIF1A expression and poor clinical outcome specifically within the LUAD subset, with no such correlation evident in LUSC. Additionally, we explored the interplay between HIF1A expression, leukocyte infiltration, and the presence of immunosuppressive markers, revealing HIF1A's suppressive role in cytotoxicity against cancer cells. Furthermore, we performed in silico prediction to explore the correlations between HIF1A and its interacting proteins, associated pathways, glycolysis, and m6A modification, and the feasibility of targeting HIF1A with specific drugs. In summary, our study revealed the prognostic significance and therapeutic potential of HIF1A in LUAD.

Single-Nucleus RNA-Sequencing Reveals a MET+ Oligodendrocyte Subpopulation That Promotes Proliferation of Radiation-Induced Gliomas

PurposeRadiation-induced gliomas (RIGs) are fatal late complications of radiotherapy, with a median survival time of 6–11 months. RIGs demonstrate unique molecular landscape and may originate from a glial lineage distinct from that of primary malignancies or diffuse midline gliomas (DMGs). This study aimed to explore the intratumoral diversity within RIGs to uncover their cellular origin and characteristics, and enhance our understanding of this uncommon tumor type. Methods and MaterialsFormalin-fixed, paraffin-embedded samples were collected from two RIGs and two DMGs for single-nucleus RNA sequencing. A detailed analysis was conducted to assess intratumoral heterogeneity and cellular interactions, including gene set enrichment, pseudotime trajectory, and cell communication analyses. Immunofluorescence staining, proliferation assay, and RNA-seq analysis were also applied to validate our findings. ResultsOur analysis revealed distinct heterogeneity in oligodendrocytes between the DMG and RIG samples. A unique subpopulation of oligodendrocytes in RIGs, which was characterized by gene encoding mesenchymal-epithelial transition factor (c-MET) and therefore termed MET+ ODs, exhibited characteristics typical of cancer cells, such as increased mitotic activity, cancer-related gene expression, and extensive copy number variations. Cell communication studies indicated that MET+ ODs interact vigorously with G1/S and G2/M cycling cells via the neural cell adhesion molecule (NCAM) signaling pathway, potentially enhancing the proliferation of cycling malignant cells. Integrating our results with existing RNA-seq data further supported our hypothesis. The presence of MET+ ODs in RIGs was confirmed by immunostaining, and activation of the NCAM signaling pathway in vitro significantly promoted the proliferation of RIG tumor cells. Moreover, in-vitro radiation induced the transformation of oligodendrocytes to be more similar to MET+ ODs. ConclusionsRIGs are characterized by an oligodendrocyte composition distinct from that of DMGs. A specific subpopulation of MET+ ODs in RIGs may be crucial in tumorigenesis and promote the growth of malignant cells. Identifying MET+ ODs offers a valuable target for future clinical surveillance and therapeutic strategies.

Mitochondrial DNA copy number variation in asthma risk, severity, and exacerbations

Asthma pathophysiology is associated with mitochondrial dysfunction. Mitochondrial DNA copy number (mtDNA-CN) has been used as a proxy of mitochondrial function, with lower levels indicating mitochondrial dysfunction in population studies of cardiovascular diseases and cancers. We investigate whether lower levels of mtDNA-CN are associated with asthma diagnosis, severity, and exacerbations. MtDNA-CN is evaluated in blood from two cohorts: UK Biobank (UKB) (asthmatics n = 39,147; non-asthmatics n = 302,302) and Severe Asthma Research Program (SARP) (n = 1283 asthmatics, non-severe n = 703). Asthmatics have lower mtDNA-CN compared to non-asthmatics in UKB (beta, -0.006 [95% CI, -0.008 to -0.003], P = 6.23×10-6). Lower mtDNA-CN is associated with asthma prevalence, but not severity in UKB or SARP. mtDNA-CN declines with age but is lower in asthma than in non-asthmatics at all ages. In one-year longitudinal study in SARP, mtDNA-CN is associated with risk of exacerbation; those with highest mtDNA-CN have the lowest risk of exacerbation [OR 0.333 [95% CI, 0.173 to 0.542], P = 0.001]. Biomarkers of inflammation and oxidative stress are higher in asthma than non-asthmatics, but the lower mtDNA-CN in asthma are independent of general inflammation or oxidative stress. Mendelian Randomization (MR) studies suggest a potential causal relationship between asthma-associated genetic variants and mtDNA-CN. MtDNA-CN are lower in asthmatics than in non-asthmatics and are associated with exacerbations. Low mtDNA-CN in asthma are not mediated through inflammation but are associated with the genetic predisposition to asthma.

1617P Multi-gene copy number variation risk-score for prediction of survival and therapy response outcome in treatment-naïve metastatic castrate resistant prostate cancer

1617P Multi-gene copy number variation risk-score for prediction of survival and therapy response outcome in treatment-naïve metastatic castrate resistant prostate cancer