Copy Number Variation Research Articles

Chromosomal analysis in pregnant women of advanced maternal age: indications for prenatal diagnosis.

The demographic of women of advanced maternal age (AMA), defined as those over 35 years, is expanding in response to the liberalization of China's three-child policy. A significant proportion of these women are electing to undergo noninvasive prenatal testing (NIPT). Nonetheless, next-generation sequencing (NGS) is the recommended method for prenatal screening among women of AMA in the world. Consequently, the decision between opting for NIPT or NGS has emerged as topic of considerable debate and interest within the medical community. The objective was to explore which prenatal screening and diagnosis is suitable for women of AMA with different comorbidities. In this retrospective study, 326 pregnant women with AMA were divided into 9 groups to investigate clinically significant copy number variation (CNV) in different amniocentesis indications by amniocentesis and NGS. Clinically significant chromosomal abnormalities were identified in 84 cases (25.8%). Among the 119 detected segmental imbalances, 16 cases (13.4%) exhibited pathogenic or likely pathogenic microdeletions or micro-duplications. The incidence of pathogenic or likely pathogenic CNVs was significantly higher in the AMA with soft ultrasound markers group compared to the general AMA group (11.5% vs. 1.1%; P=0.016). Additionally, the incidence of pathogenic or likely pathogenic CNVs was significantly higher in the AMA with NIPT group compared to the general AMA group (48.7% vs. 1.1%; P<0.001). The incorporation of soft ultrasound markers and NIPT significantly enhanced the detection rate of clinically significant CNVs in women of AMA by 10.4% and 47.6%, respectively. Furthermore, the detection rate of clinically significant CNVs increased by 37% in women of AMA who underwent NIPT, when soft ultrasound markers were present. The positive predictive value of NIPT in detecting sex chromosome aneuploidy notably improved from 57.9% to 80% with the inclusion of soft ultrasound markers. Therefore, the combination of NIPT and soft ultrasound markers in women of AMA should be strongly considered and recommended for prenatal diagnosis.

A Droplet Digital Polymerase Chain Reaction-Based Tool to Aid in Melanoma Diagnosis.

Detecting copy number variations (CNVs) at certain loci can aid in the diagnosis of histologically ambiguous melanocytic neoplasms. Droplet digital polymerase chain reaction (ddPCR) is a rapid, automated, and inexpensive method for CNV detection in other cancers, but not yet melanoma. To evaluate the performance of a 4-gene ddPCR panel that simultaneously tests for ras responsive binding element protein 1 (RREB1) gain; cyclin-dependent kinase inhibitor 2A (CDKN2A) loss; MYC proto-oncogene, bHLH transcription factor (MYC) gain; and MYB proto-oncogene, transcription factor (MYB) loss in melanocytic neoplasms. One hundred sixty-four formalin-fixed, paraffin-embedded skin samples were used to develop the assay, of which 65 were used to evaluate its performance. Chromosomal microarray analysis (CMA) data were used as the gold standard. ddPCR demonstrated high concordance with CMA in detecting RREB1 gain (sensitivity, 86.7%; specificity, 88.9%), CDKN2A loss (sensitivity, 80%; specificity, 100%), MYC gain (sensitivity, 70%; specificity, 100%), and MYB loss (sensitivity, 71.4%; specificity, 100%). When one CNV was required to designate the test as positive, the 4-gene ddPCR panel distinguished nevi from melanomas with a sensitivity of 78.4% and a specificity of 71.4%. For reference, CMA had a sensitivity of 86.2% and a specificity of 78.6%. Our data also revealed interesting relationships with histology, namely (1) a positive correlation between RREB1 ddPCR copy number and degree of tumor progression; (2) a statistically significant correlation between MYC gain and nodular growth; and (3) a statistically significant correlation between MYB loss and a sheetlike pattern of growth. With further validation, ddPCR may aid both in our understanding of melanomagenesis and in the diagnosis of challenging melanocytic neoplasms.

Using Copy Number Variation Data and Neural Networks to Predict Cancer Metastasis Origin Achieves High Area under the Curve Value with a Trade-Off in Precision.

The accurate identification of the primary tumor origin in metastatic cancer cases is crucial for guiding treatment decisions and improving patient outcomes. Copy number alterations (CNAs) and copy number variation (CNV) have emerged as valuable genomic markers for predicting the origin of metastases. However, current models that predict cancer type based on CNV or CNA suffer from low AUC values. To address this challenge, we employed a cutting-edge neural network approach utilizing a dataset comprising CNA profiles from twenty different cancer types. We developed two workflows: the first evaluated the performance of two deep neural networks-one ReLU-based and the other a 2D convolutional network. In the second workflow, we stratified cancer types based on anatomical and physiological classifications, constructing shallow neural networks to differentiate between cancer types within the same cluster. Both approaches demonstrated high AUC values, with deep neural networks achieving a precision of 60%, suggesting a mathematical relationship between CNV type, location, and cancer type. Our findings highlight the potential of using CNA/CNV to aid pathologists in accurately identifying cancer origins with accessible clinical tests.

Unique Functional Neuroimaging Signatures of Genetic Versus Clinical High Risk for Psychosis

Background22q11.2 deletion syndrome (22qDel) is a copy number variant that is associated with psychosis and other neurodevelopmental disorders. Adolescents who are at clinical high risk for psychosis (CHR) are identified based on the presence of subthreshold psychosis symptoms. Whether common neural substrates underlie these distinct high-risk populations is unknown. We compared functional brain measures in 22qDel and CHR cohorts and mapped the results to biological pathways. MethodsWe analyzed 2 large multisite cohorts with resting-state functional magnetic resonance imaging data: 1) a 22qDel cohort (n = 164, 47% female) and typically developing (TD) control participants (n = 134, 56% female); and 2) a cohort of CHR individuals (n = 240, 41% female) and TD control participants (n = 149, 46% female) from the NAPLS-2 (North American Prodrome Longitudinal Study-2). We computed global brain connectivity (GBC), local connectivity (LC), and brain signal variability (BSV) across cortical regions and tested case-control differences for 22qDel and CHR separately. Group difference maps were related to published brain maps using autocorrelation-preserving permutation. ResultsBSV, LC, and GBC were significantly disrupted in individuals with 22qDel compared with TD control participants (false discovery rate–corrected q < .05). Spatial maps of BSV and LC differences were highly correlated with each other, unlike GBC. In the CHR group, only LC was significantly altered versus the control group, with a different spatial pattern than the 22qDel group. Group differences mapped onto biological gradients, with 22qDel effects being strongest in regions with high predicted blood flow and metabolism. Conclusions22qDel carriers and CHR individuals exhibited different effects on functional magnetic resonance imaging temporal variability and multiscale functional connectivity. In 22qDel carriers, strong and convergent disruptions in BSV and LC that were not seen in CHR individuals suggest distinct functional brain alterations.

Prenatal diagnosis and genetic counseling of a de novo 10q11.21q11.23 duplication associated with a normal phenotype.

Copy number variants (CNVs) are an important source of normal and pathogenic genome variations. Unbalanced chromosome abnormalities are either gains or losses of large genomic regions that do not or only minimally clinically affect the individual. Noninvasive prenatal testing (NIPT) is widely used in the screening of common fetal chromosome aneuploidy. One example is the duplication of 10q11.21q11.23, which includes the 10q11.2 region. This region contains a complex set of low-copy repeats that may lead to various genomic alterations through non-allelic homologous recombination. In this report, we present a case of a de novo 10q11.21q11.23 duplication with a normal phenotype. This case may be helpful for prenatal diagnosis and genetic counseling. A combination of NIPT, prenatal ultrasound, karyotype analysis, copy number variation sequencing, and genetic counseling is helpful for the prenatal diagnosis of CNVs.

Whole Exome Sequencing Revealing a Novel PBX1 Gene Variant in a Chinese Family Causing Recurrent Neonatal Death.

Causative mutations of PBX1 are associated with congenital abnormalities of the kidney and urinary tract (CAKUT), often accompanied by hearing loss, abnormal ear morphology, or developmental delay. The aim of the present investigation was to introduce a novel variant in the PBX1 gene identified in a Chinese family, leading to recurrent neonatal mortality. A pregnant woman (gravida 5, para 0), who had experienced recurrent neonatal deaths, sought genetic etiology diagnosis. Whole exome sequencing (WES) was conducted to identify sequence variants and copy number variants in the fetus presenting with posterior nuchal cystic hygroma and fetal hydrops. A novel NM_002585.4:c.694G>C(p.D232H) in PBX1 was identified in the fetus through trio whole exome sequencing (WES), revealing a paternal mosaic PBX1 variant in blood at 11.54% (6/52 variants reads). Subsequent parental Sanger sequencing confirmed the variant detected by WES. Ultimately, the variant was classified as likely pathogenic, leading the family to elect pregnancy termination at 17 weeks gestation. The novel variant in the PBX1 gene appears to be a significant factor contributing to recurrent neonatal deaths in the Chinese family. Such findings expand the spectrum of PBX1 gene variants and provide valuable perinatal guidance for diagnosing fetuses with PBX1 mutations.

Single-cell landscape reveals the immune heterogeneity of bone marrow involvement in peripheral T-cell lymphoma.

The prognosis of patients with peripheral T-cell lymphoma (PTCL) depends on bone marrow involvement (BMI). The bone marrow (BM) tumor microenvironment in PTCL remains unclear. We performed single-cell RNA sequencing (scRNA-seq) on 11 fresh BM samples from patients with BMI to reveal the associations of immune landscape and genetic variations with the prognosis of PTCL patients. Compared with PTCL not otherwise specified (NOS), angioimmunoblastic T-cell lymphoma (AITL) had a higher number of T cells, lower number of lymphocytes, and greater inflammation. Immune heterogeneity in AITL is associated with prognosis. In particular, specific T-cell receptor (TCR) T cells are enriched in patients with good response to anti-CD30 therapy. We observed RhoA mutation-associated neoantigens. Chidamide-treated patients had a higher number of CD4+ regulatory cells and a better treatment response compared with other patients. In the nonresponder group, T-cell enrichment progressed to secondary B-cell enrichment and subsequently diffuse large B-cell lymphoma. Moreover, AITL patients with lymphoma-associated hemophagocytic syndrome had more T follicular helper (Tfh) cells with copy number variations in CHR5. To our knowledge, this study is the first to reveal the single-cell landscape of BM microenvironment heterogeneity in PTCL patients with BMI. scRNA-seq can be used to investigate the immune heterogeneity and genetic variations in AITL associated with prognosis.

Drug resistance and genetic characteristics of one Eimeria tenella isolate from Xiantao, Hubei Province, China.

Chicken coccidiosis causes retarded growth and low production performance in poultry, resulting in huge economic losses to the poultry industry. In order to prevent and control chicken coccidiosis, great efforts have been made to develop new drugs and vaccines, which require pure isolates of Eimeria spp. In this study, we obtained the Eimeira tenella Xiantao isolate by single oocyst isolation technology and compared its genome with the reference genome GCF_000499545.2_ETH001 of the Houghton strain. The results of the comparative genomic analysis indicated that the genome of this isolate contained 46,888 single nucleotide polymorphisms (SNPs). There were 15,107 small insertion and deletion variations (indels), 1693 structural variations (SV), and 3578 copy number variations (CNV). In addition, 64 broilers were used to determine the resistance profile of Xiantao strain. Drug susceptibility testing revealed that this isolate was completely resistant to monensin, diclazuril, halofuginone, sulfachlorpyrazine sodium, and toltrazuril, but sensitive to decoquinate. These data improve our understanding of drug resistance in avian coccidia.

CmirC update 2024: a multi-omics database for clustered miRNAs

Clustered miRNAs consist of two or more miRNAs transcribed together and may coordinately regulate gene expression. Differential expression of clustered miRNAs is found to be controlled by crosstalk of genetic or epigenetic mechanisms. It has been demonstrated that clustered miRNA expression patterns greatly impact cancer cell progression. With the CmirC initiative, we initially developed a comprehensive database to identify copy number variation (CNV) driven clustered miRNAs in cancer. Now, we extended the analysis and identified three miRNAs, mir-96, mir-183, and mir-21, were found to be significantly upregulated in 17 cancer types. Further, CmirC is now upgraded to determine the impact of changes in the DNA methylation status at clustered miRNAs by utilizing The Cancer Genomic Atlas (TCGA) cancer datasets. We examined specific methylation datasets from 9,639 samples, pinpointing 215,435 methylation sites and 27,949 CpG islands with miRNA cluster information. The integrated analysis identified 34 clusters exhibiting differentially methylated CpG sites across 14 cancer types. Furthermore, we determined that CpG islands in the promoter region of 20 miRNA clusters could play a regulatory role. Along with ensuring a straightforward and convenient user experience, CmirC has been updated with improved data browsing and analysis functionalities, as well as enabled hyperlinks to literature and miR-cancer databases. The enhanced version of CmirC is anticipated to play an important role in providing information on the regulation of clustered miRNA expression, and their targeted oncogenes and tumor suppressors. The newly updated version of CmirC is available at https://slsdb.manipal.edu/cmirclust/.

AB047. Searching for factors relating to long-term survivors of glioblastoma.

There remains controversy in the observed survival of gliomas worldwide, especially for glioblastoma (GBM). The 5-year survival rate ranged wildly, but comparable higher in several Asian countries, such as China showed almost 18% from CONCORD-3 data. Are there any special factors relating to long-term survivors (LTSs)? We reviewed our single center real-world data for the last 20 years, of 536 GBM [World Health Organization (WHO) grade 4] patients revealed 5-year overall survival (OS) of 19.1%. We analyzed our GBM patients and searched for possible factors relating to LTSs. We collected tumor samples of 13 LTSs (OS >60 months) and 19 short-term survivors (OS <24 months), and performed whole exome sequencing and transcriptome sequencing. From treatment setting, besides surgical resection, post-operational adjutant treatment (radiotherapy plus chemotherapy) are the most important factor contributing to long-term survival. Whole exome sequencing analysis revealed a higher proportion of mutation signature 19 was associated with LTSs. Analysis of copy number variation (CNV) showed that the LTSs had higher copy number variants at the chromosomal level (P=0.049). At the arm level, the proportion of 19p amplification in the LTS was significantly higher than in the short-term survivors (P=0.001). And in The Cancer Genome Atlas (TCGA) GBM dataset, GBM patients with 19p amplification also had a better prognosis (log-rank P=0.04). Based on RNA sequencing (RNAseq) and differential expression analysis, the differentially expressed genes were enriched in hypoxia-related processes, apoptosis, and immune-related processes. From our single-institution data, the factors relating to GBM LTSs should be both clinical management and genomic alternation which could be potential novel targets be applied to future clinical practice.

36. Significant copy number variants and loss of heterozygosity in Wilms Tumor: Insights from Nationwide Pediatric Oncology

36. Significant copy number variants and loss of heterozygosity in Wilms Tumor: Insights from Nationwide Pediatric Oncology

Correlation between maternal serum biomarkers and the risk of fetal chromosome copy number variants: a single-center retrospective study.

To explore the association between the concentration of maternal serum biomarkers and the risk of fetal carrying chromosome copy number variants (CNVs). Pregnant women identified as high risk in the second-trimester serological triple screening and underwent traditional amniotic fluid karyotype analysis, along with comparative genomic hybridization array (aCGH)/copy number variation sequencing (CNV-seq), were included in the study. We divided the concentration of serum biomarkers, free beta-human chorionic gonadotropin (fβ-hCG), alpha fetoprotein (AFP) and unconjugated estriol (uE3), into three levels: abnormally low, normal and abnormally high. The prevalence of abnormally low, normal and abnormally high serum fβ-hCG, AFP and uE3 levels in pregnant women with aberrant aCGH/CNV-seq results and normal controls was calculated. Among the 2877 cases with high risk in the second-trimester serological triple screening, there were 98 chromosome abnormalities revealed by karyotype analysis, while 209 abnormalities were detected by aCGH/CNVseq (P＜0.001) . The carrying rate of aberrant CNVs increased significantly when the maternal serum uE3 level was less than 0.4 multiple of median (MoM) of corresponding gestational weeks compared to normal controls, while the carrying rate of aberrant CNVs decreased significantly when the maternal serum fβ-hCG level was greater than 2.5 MoM compared to normal controls. No significant difference was found in the AFP group. Low serum uE3 level (<0.4 MoM) was associated with an increased risk of aberrant CNVs.

Further exploration of cardiac channelopathy and cardiomyopathy genes in stillbirth.

To explore genetic variation including whole genome copy number variation and sequence analysis of 98 genes associated with pediatric or adult cardiomyopathies, cardiac channelopathies, and sudden death in an unexplained intrauterine fetal death cohort. The study population included 55 stillbirth cases that remained unexplained after thorough postmortem examination, excluding maternal, fetal, and placental causes of stillbirth. Molecular karyotyping was performed in 55 cases and the trio exome sequencing approach was applied in 19 cases. The analysis revealed six rare variants with predicted effects on protein function in six genes (CASQ2, DSC2, KCNE1, LDB3, MYH6, and SCN5A) previously reported in cases of stillbirth or severe early onset pediatric cardiac related phenotypes. When applying strict American College of Genetics and Genomics classification guidelines, these are still variants of uncertain significance. Several potentially stillbirth-related genetic variants were detected in our cohort, adding to the growing literature on cardiac phenotype gene variation in stillbirth. However, the mechanisms of action, gene-gene interaction, and contribution of the uterine environment are still to be deciphered. In order to advance our knowledge of the genetics of unexplained fetal death, there is an evident need for international collaboration and field standardization.

The establishment of pulp polyp-derived mesenchymal stem cells with normal karyotype

Background/PurposePulp polyp is often eliminated as dental waste. Pulp polyp cells were reported to have high proliferation activity which might be comprised of stem cells. However, little has been known on the presence of stem cells in the pulp polyp. Moreover, pulp polyp cells might contain chromosomal abnormality. The present study was conducted to investigate the presence of pulp polyp stem cells, which could later be propagated and confirmed as normal/non-pathogenic cells using karyotype analysis. Materials and methodsCollected pulp polyps were minced, enzymatically digested, and cultured. Expression of mesenchymal stem cell (MSC) markers on pulp polyp cells were analyzed using flow cytometry. Multilineage differentiation capacity was assessed by culturing the cells in osteogenic, chondrogenic, and adipogenic differentiation media. Genomic stability of the cells was evaluated with G-banded and molecular karyotype analyses. ResultsPulp polyp cells appeared as fibroblasts-like cells. The cells were positive for cluster of differentiation (CD)105, CD90, and CD73, and negative for CD45, CD34, CD11b, CD19, and human leukocyte antigen (HLA)-DR. The cells were capable of osteogenic, chondrogenic, and adipogenic differentiation. G-banded karyotype analysis showed that there was no abnormality in the number or structure of chromosomes in pulp polyp-derived MSCs (PP-MSCs). Molecular karyotype analysis revealed that all copy number variations identified in PP-MSCs were not pathogenic. ConclusionPP-MSCs, which fulfill the minimal criteria for MSCs and are proven to have normal karyotype, have been successfully established. PP-MSCs might be a promising and safe candidate that can be considered for pulp-dentin complex regeneration.

Correlations of brain structure with the social behavior of 15q11-13 duplication mice, an animal model of autism

Duplication of chromosome 15q11–13 has been reported to be one of the most frequent cytogenetic copy number variations in autism spectrum disorder (ASD), and a mouse model of paternal 15q11–13 duplication was generated, termed 15q dup mice. While previous studies have replicated some of the behavioral and brain structural phenotypes of ASD separately, the relationship between brain structure and behavior has rarely been examined. In this study, we performed behavioral experiments related to anxiety and social behaviors and magnetic resonance imaging (MRI) using the same set of 15q dup and wild-type mice. 15q dup mice showed increased anxiety and a tendency toward alterations in social behaviors, as reported previously, as well as variability in terms of sociability. MRI analysis revealed that a lower sociability index was correlated with a smaller gray matter volume in the right medial entorhinal cortex. These results may help to understand how variability in behavioral phenotypes of ASD arises even in individuals with the same genetic background and to determine the individual differences in neurodevelopmental trajectory correlated with specific brain structures that underlie these phenotypes.

Medulloblastomas Initiated by Homologous Recombination Defects in Mice

Germline mutations of homologous-recombination (HR) genes are among the top contributors to medulloblastomas. A significant portion of human medulloblastomas exhibited genomic signatures of HR defects. We asked whether ablation of Brca2, Palb2, and their related Brca1 and Bccip genes, in the mouse brain can differentially initiate medulloblastomas. We established conditional knockout mouse models of these HR-genes, and a conditional knockdown of Bccip (shBccip-KD). Deletion of any of these genes led to microcephaly and neurological defects, with Brca1- and Bccip- producing the worst. Trp53 co-deletion significantly rescued the microcephaly with Brca1, Palb2, and Brca2 deficiency, but it exhibited limited impact on Bccip- mice. For the first time, inactivation of either Brca1 or Palb2 with Trp53 was found to induce medulloblastomas. Bccip/Trp53 deletions failed, despite that shBccip-CKD was highly penetrative, to induce medulloblastomas. The tumors displayed diverse immunohistochemical features and chromosome copy number variation. While there were widespread upregulations of cell proliferative pathways, most of the tumors expressed biomarkers of the Sonic Hedgehog subgroup. The MBs developed from Brca1-, Palb2-, and Brca2- mice were highly sensitive to a PARP inhibitor, but not the ones from shBccip-CKD mice. Our models recapitulate the spontaneous medulloblastoma development with high penetrance and narrow time-window, providing ideal platforms to test therapeutic agents with the ability to differentiate HR defective and proficient tumors.

Late-Onset Slowly Progressing Cone/Macular Dystrophy in Patients With the Biallelic Hypomorphic Variant p.Arg1933Ter in RP1.

Homozygous hypomorphic variants of the RP1 gene, including c.5797C>T, p.Arg1933Ter, have traditionally been considered non-pathogenic. This study aimed to elucidate the clinical manifestations of late-onset, slowly progressive cone/macular dystrophy in patients homozygous for p.Arg1933Ter in the RP1 gene. Five patients with biallelic p.Arg1933Ter in RP1 were retrospectively recruited, and their clinical profiles were analyzed. Copy number variation analysis and Alu insertion assessment of genes associated with inherited retinal diseases were conducted. The results of comprehensive ophthalmological examinations, multimodal imaging, and full-field electroretinogram tests were analyzed. No specific sequencing errors or structural variations associated with the clinical phenotypes were identified. Alu element insertion in RP1 was not detected. The mean ± SD age at the first visit was 62.2 ± 9.8 years, with symptoms typically starting between 45 and 50 years of age. Two patients exhibited a mild form of cone/macular dystrophy, characterized by a relatively preserved fundus appearance and blurring of the ellipsoid zone on optical coherence tomography. Three patients had late-onset cone/macular dystrophy with significant atrophy. To our knowledge, this study is the first to report that a homozygous hypomorphic variant of RP1, previously considered non-pathogenic, leads to cone/macular dystrophy. The study introduces novel possibilities suggesting that the homozygous hypomorphic variant of RP1 may be linked to variant pathogenicity.

Optimal prenatal genetic diagnostic approach for posterior fossa malformation: karyotyping, copy number variant testing, or whole-exome sequencing?

BackgroundPosterior fossa malformation (PFM) is a relatively uncommon prenatal brain malformation. Genetic diagnostic approaches, including chromosome karyotyping, copy number variant (CNV) testing, and whole-exome sequencing (WES), have been applied in several cases of fetal structural malformations. However, the clinical value of appropriate genetic diagnostic approaches for different types of PFMs has not been confirmed. Therefore, in this study, we aimed to analyze the value of different combined genetic diagnostic approaches for various types of fetal PFMs.MethodsThis retrospective study was conducted at Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital. Fifty-one pregnant women diagnosed with fetal PFMs who underwent genetic testing in our hospital from January 1, 2017 to December 31, 2022 were enrolled; women with an isolated enlarged cisterna magna were excluded. All participants were categorized into two groups according to the presence of other abnormalities: isolated and non-isolated PFMs groups. Different combined approaches, including karyotype analysis, CNV testing, and trio-based WES, were used for genetic analysis. The detection rates of karyotype analysis, CNV testing, and WES were measured in the isolated and non-isolated groups.ResultsIn isolated PFMs, pathogenic/likely pathogenic (P/LP) CNVs were detected in four cases (36.36%, 4/11), whereas G-banding karyotyping and WES showed negative results. In non-isolated PFMs, a sequential genetic approach showed a detection rate of 47.5% (19/40); karyotyping revealed aneuploidies in five cases (16.67%, 5/30), CNV testing showed P/LP CNVs in five cases (16.13%, 5/31), and WES identified P/LP variants (in genes CEP20, TMEM67, OFD1, PTPN11, ARID1A, and SMARCA4) in nine cases (40.91%, 9/22). WES showed a detection rate of 83.33% (5/6) in fetuses with Joubert syndrome. Only six patients (five with Blake’s pouch cyst and one with unilateral cerebellar hemisphere dysplasia) survived.ConclusionsWe recommend CNV testing for fetuses with isolated PFMs. A sequential genetic approach (karyotyping, CNV testing, and WES) may be beneficial in fetuses with non-isolated PFMs. Particularly, we recommend WES as the first-line genetic diagnostic tool for Joubert syndrome.

Precision treatment paradigm: Genomic features and therapeutic implications in mesenchymal‐epithelial transition‐amplified gastric cancer

AbstractBackgroundDespite advances in treatments for gastric cancer (GC), new targets are needed to enhance treatment, especially when mesenchymal‐epithelial transition (MET) amplification is involved. Therefore, we investigated the genomic features of MET‐amplified GC and efficacy of anti‐MET therapy.MethodsGenomic features were investigated in 2284 patients (cohort 1) and 438 patients in the Cancer Genome Atlas (TCGA cohort). RNA data were obtained from TCGA for expression analysis. Clinical responses of 71 patients (cohort 2) were investigated. Survival rates were compared by Kaplan–Meier and log‐rank tests.ResultsIn cohort 1, 95 (4.2%) exhibited MET amplifications. In TCGA cohort, 15 (3.4%) exhibited MET amplifications. The five top mutated genes were TP53, CDH1, ARID1A, KMT2D and PIK3CA in cohort 1 and TTN, TP53, MUC16, LRP1B and SYNE1 in TCGA cohort. TP53, PIK3CA, KRAS and GNAS showed significant single nucleotide variants (SNVs) in cohort 1, and TP53 SNVs were significant in TCGA cohort. Fifteen and 18 genes showed significant copy number variations (CNVs) between the MET‐ and non‐MET‐amplified groups in cohort 1 and TCGA cohort, respectively. The PI3K pathway was significantly activated in Chinese patients with MET‐amplified GC (p = 0.002). TP53 expression is negatively associated with MET amplification. Real‐world data obtained with cohort 2 revealed that anti‐MET treatment significantly affected overall survival (OS) (p = 0.002), whereas CNVs did not affect progression‐free or OS even when treatment lines were considered.ConclusionsMET‐amplified GC has a distinctive mutation landscape. Our findings provide valuable information for clinicians who treat patients with MET‐amplified GC.

Single nucleotide and copy number variants of cancer driver genes inform drug response in multiple cancers.

Due to the heterogeneity of cancer, precision medicine has been a major challenge for cancer treatment. Determining medication regimens based on patient genotypes has become a research hotspot in cancer genomics. In this study, we aim to identify key biomarkers for targeted therapies based on single nucleotide variants (SNVs) and copy number variants (CNVs) of genes. The experiment is carried out on 7 cancers on the Encyclopedia of Cancer Cell Lines (CCLE) dataset. Considering the high mutability of driver genes which result in abundant mutated samples, the effect of data sparsity can be eliminated to a large extent. Therefore, we focus on discovering the relationship between driver mutation patterns and three measures of drug response, namely area under the curve (AUC), half maximal effective concentration (EC50), and log2-fold change (LFC). First, multiple statistical methods are applied to assess the significance of difference in drug response between sample groups. Next, for each driver gene, we analyze the extent to which its mutations can affect drug response. Based on the results of multiple hypothesis tests and correlation analyses, our main findings include the validation of several known drug response biomarkers such as BRAF, NRAS, MAP2K1, MAP2K2, and CDKN2A, as well as genes with huge potential to infer drug responses. It is worth emphasizing that we identify a list of genes including SALL4, B2M, BAP1, CCDC6, ERBB4, FOXA1, GRIN2A, and PTPRT, whose impact on drug response spans multiple cancers and should be prioritized as key biomarkers for targeted therapies. Furthermore, based on the statistical p-values and correlation coefficients, we construct gene-drug sensitivity maps for cancer drug recommendation. In this work, we show that driver mutation patterns could be used to tailor therapeutics for precision medicine.