ERBB2 Gene Research Articles

Association Between ERBB2 and ERBB3 Polymorphisms and Dyslipidaemia and Serum Lipid Levels in a Chinese Population.

Dyslipidaemia, characterised by abnormal lipid levels in the blood, is an important risk factor for cardiovascular disease. In this case-control study, the association between single-nucleotide polymorphisms in ERBB2 and ERBB3 genes and the risk of dyslipidaemia in a population from Northern Anhui, China was evaluated. Particularly, we analysed samples from 543 patients with dyslipidaemia and 648 healthy controls for five potentially functional polymorphisms using TaqMan assays. Multivariate logistic regression was used to assess the relationship between genotype and dyslipidaemia, adjusting for confounding variables. The ERBB2 rs2517955 and rs1058808 single-nucleotide polymorphisms were significantly associated with dyslipidaemia. The rs2517955 variant showed a protective effect against dyslipidaemia in males, individuals aged 55years or younger, and those without diabetes. Similarly, the rs1058808 variant decreased the risk of dyslipidaemia in these stratified groups. Conversely, ERBB3 rs2292238 was associated with an increased risk of dyslipidaemia in patients with diabetes. Compared with the corresponding wild-type alleles, variant alleles of rs2517955 and rs1058808 were associated with a reduced risk of decreased high-density lipoprotein cholesterol levels. Additionally, ERBB2 rs2517955 variants were significantly linked to total cholesterol levels, whereas ERBB3 rs3741499 and rs877636 variants were significantly associated with low-density lipoprotein cholesterol levels. Our findings suggest that ERBB2 and ERBB3 polymorphisms are closely associated with the risk of dyslipidaemia in the Chinese population. These results provide valuable insights for further genetic studies of dyslipidaemia and the identification of potential therapeutic targets.

Molecular profiling of a gastroesophageal adenocarcinoma (GEA) multicohort using next-generation sequencing (NGS).

494 Background: The mutational landscape of GEA is rapidly evolving with the identification of promising molecular targets. However, histological subtypes are insufficient to capture the molecular heterogeneity in these patients (pts). We aim to assess the histopathological and molecular features in a GEA cohort using NGS techniques, and to evaluate the mutational frequency and its prognostic correlation. Methods: We conducted a retrospective study on GEA from 2019 to 2024. Immunohistochemistry (IHC) was used to evaluate HER2 expression, microsatellite instability (MSI), Epstein-Barr virus (EBV) and PD-L1 status. In-house and commercial NGS platforms were used to detect molecular alterations from tumor samples. Cox regression model was used to analyze overall survival (OS) based on the clinicopathological and molecular subgroups. Results: Using NGS techniques, we identified the following alterations with potential clinical relevance in the 115-pts included: pathogenic mutations in PIK3CA (5.2%), BRCA1/2 (3.5%) and POLD1 (0.9%), along with copy number alterations (CNA) in ERBB2 (10.4%), EGFR (8.7%), MET (5.2%) and FGFR2 (4.3%) genes, among others. Additionally, a high tumor mutational burden (≥ 13 Mut/Mb) was observed in 6 pts (5.2%). Clinical characteristics are detailed in the table. We detected a higher rate of alterations in CDH1 (10.42% vs 4.48%; p=0.22) and PIK3CA (8.33% vs 2.99%; p=0.20) genes in early (<50y) vs late-onset (≥50y) GEA. Additionally, we identified a significantly higher mutation frequency in diffuse vs intestinal tumors; ARID1A (17.6% vs 2.2%; p=0.01) and CDH1 (11.8% vs 0%; p=0.02) genes. Also, pts with peritoneal involvement showed a greater prevalence of mutations in CDH1 (12% vs 0%; p=0.04) and RHOA (10% vs 0%; p=0.06) compared to those with liver disease. We observed a significantly worse OS in pts with diffuse vs intestinal tumors (15.7m vs 19.1m; p=0.04) and a trend toward shorter survival in pts with CDKN2A mutations (11.97m vs 17.83m; p=0.42). Although not significantly, CNA in ERBB2 were associated with a better prognosis (22.2m vs 16.2m; p=0.09). Conclusions: Our results support the utility of NGS platforms in detecting novel molecular targets with prognostic and clinical impact, beyond ERBB2 . Additionally, we observed poorer prognosis in diffuse subtype tumors, which exhibited a higher frequency of mutations in ARID1A and CDH1 genes. Clinicopathological characteristics of the 115-pts with GEA. N=115 (%) AgeMedian years [range] 54 [18-83] Sex Male 69 (60.0) Tumor site Gastric 72 (62.6) Gastroesophageal junction 37 (32.2) Esophagus 6 (5.2) Histological subtype Diffuse or pooly cohesive 51 (44.3) Intestinal or tubular 46 (40.0) Others 18 (15.7) Stage at diagnosis Advanced 74 (66.9) Localized 41 (33.1) Metastatic site Peritoneum 53 (46.1) Liver 34 (29.6) Molecular profile (IHC) HER2 (+) 20 (17.4) MSI 5 (4.3) EBV (+) 2 (1.8) PDL1 (CPS) ≥1 35 (30.4)

Case report: Chemotherapy plus sintilimab for the treatment of gastroesophageal junction hepatoid adenocarcinoma with liver metastasis: a case study with literature review

ObjectiveTo elucidate the clinicopathological features and treatment of metastatic gastroesophageal junction hepatoid adenocarcinoma (GEJ HAC)using a case study and literature review.MethodsClinical presentation, results of histology and immunohistochemistry, and next-generation sequencing(NGS) in a patient with GEJ HAC metastasizing to the liver were reviewed. Chemotherapy (SOX or S-1) plus sintilimab was administered.ResultsA 65-year-old male patient with a history of hypertension was admitted to the hospital due to a one-week increase in serum AFP levels. There was a small intraluminal mass at the GEJ and a metastatic lesion in liver segment VIII, as well as enlarged perigastric and retroperitoneal lymph nodes. Tumor cells in both the GEJ and liver tissue exhibited a glandular shape with a nest-like adenoid structure. Immunohistochemical (IHC) analysis of the GEJ tissue showed positivity for AFP, CA19-9, CK7, CK20, MUC-1, P53 (wild type), Glypican-3, and HepPar-1, and negativity for Arginase-1, CD10, and Her-2. In the metastatic liver tissue, IHC testing demonstrated positivity for AFP, CD10, CK19, CK20, HepPar-1, MUC-1, Ki-67, and P53 (wild type), while CK7 was negative. The NGS report of GEJ mass indicated that the JAK2 and TP53 genes harbored missense mutations, while the MLH1, MSH2, MSH6, PMS2, ERBB2, EGFR, PIK3CA, APC, CTNNB1, CDH1, and DPYD genes were normal. The patient’s serum levels of CEA, CA19-9, and AFP were sharply decreased. The patient achieved a major pathological response (MPR) and remains in a progression-free stage.ConclusionsSintilimab-based chemotherapy has proven efficacy in achieving a MPR and maintaining a progression-free state for a patient with GEJ HAC that has metastasized to the liver.

Mendelian Randomization Reveals Potential Causal Relationships Between DNA Damage Repair-Related Genes and Inflammatory Bowel Disease.

DNA damage repair (DDR) plays a key role in maintaining genomic stability and developing inflammatory bowel disease (IBD). However, no report about the causal association between DDR and IBD exists. Whether DDR-related genes are the precise causal association to IBD in etiology remains unclear. Herein, we employed a multi-omics summary data-based Mendelian randomization (SMR) approach to ascertain the potential causal effects of DDR-related genes in IBD. Methods: Summary statistics from expression quantitative trait loci (eQTL), DNA methylation QTL (mQTL), and protein QTL (pQTL) on European descent were included. The GWAS summarized data for IBD and its two subtypes, Crohn's disease (CD) and ulcerative colitis (UC), were acquired from the FinnGen study. We elected from genetic variants located within or near 2000 DDR-related genes in cis, which are closely associated with DDR-related gene changes. Variants were selected as instrumental variables (IVs) and assessed for causality with IBD and its subtypes using both SMR and two-sample MR (TSMR) approaches. Colocalization analysis was employed to evaluate whether a single genetic variant simultaneously influences two traits, thereby validating the pleiotropy hypothesis. Results: We identified seven DDR-related genes (Arid5b, Cox5a, Erbb2, Ube2l3, Gpx1, H2bcl2, and Mapk3), 33 DNA methylation genes, and two DDR-related proteins (CD274 and FCGR2A) which were all causally associated with IBD and its subtypes. Beyond causality, we integrated the multi-omics data between mQTL-eQTL and conducted druggability values. We found that DNA methylation of Erbb2 and Gpx1 significantly impacted their gene expression levels offering insights into the potential regulatory mechanisms of risk variants on IBD. Meanwhile, CD247 and FCGR2A could serve as targets for potential pharmacological interventions in IBD. Conclusions: Our study demonstrates the causal role of DDR in IBD based on the data-driven MR. Moreover, we found potential regulatory mechanisms of risk variants on IBD and potential pharmacological targets.

Exploring breast cancer associated-gene panel for next-generation sequencing and identifying new, pathogenic variants in breast cancer from western China.

Breast cancer (BC) is the most frequently diagnosed and the leading cause of cancer-related deaths among women worldwide. It is crucial to develop a cost-effective BC genetic panel for detection and diagnosis. In this study, tissue samples from 52 BC patients and peripheral blood samples from 18 healthy volunteers were collected in western China, followed by gDNA extraction. H&E and IHC analysis were employed to detect the expression of invasive BC tissues. We analyzed data using public databases such as COSMIC/ClinVar/HGMD along with our own previously published data and queried commercial BC panels to select high-risk genes. Using Illumina DesignStudio, gene panel primers consisting of 13 genes were designed with 696 primer pairs. The specificity of all primers was validated through common PCR assays. Once the gene panel was completed, multiple polymerase chain reactions (MPCR) were performed using the designed panel primers. The resulting MPCR products were purified to enrich them as library templates. Subsequently, after passing quality tests for library integrity assessment, Next-generation sequencing (NGS) was conducted. Through bioinformatics analysis of the NGS data, 4,571 variants were identified in the annotation files from 52 samples, classified into different types. Among these variants, 358 (approximately 7.8%) were newly discovered and distributed across 11 genes in 52 patients without in the ExAC database. The KMT2C gene exhibited the highest frequency of variants, presenting in 83.0% of 52 patient samples. Variants in BRCA2 (71%), BRCA1 (48%), PALB2 (40%), PIK3CA (23%), and RNF40 (21%) genes were found in over 20% of patients. Additionally, variants were observed in the AKT1 (12%), ERBB2 (10%), ESR1 (8%), TWIST1 (8%), and PIK3R1 (4%) genes. Further analysis using PolyPhen-2, SIFT, CADD, and Mutation Taster tools analysis showed that out of these new variants, 49 (49/358) had potential pathogenic effects on protein functions and structure across 52 patients. Consequently, a high-risk gene panel has been preliminarily established for early detection/diagnosis that will contribute to earlier prevention and treatment strategies for individuals with BC, particularly those residing in developing or underdeveloped countries. The identification of novel pathogenic variants within our cohort not only expands knowledge regarding genetic diagnosis applications for BC patients but also facilitates genetic counseling services for affected individuals and their families.

Urine miRNA signature as potential non-invasive diagnostic biomarker for Hirschsprung's disease.

Hirschsprung's disease (HSCR) is characterized by congenital absence of ganglion cells in the gastrointestinal tract, which leads to impaired defecation, constipation and intestinal obstruction. The current diagnosis of HSCR is based on Rectal Suction Biopsies (RSBs), which could be complex in newborns. Occasionally, there is a delay in diagnosis that can increase the risk of clinical complications. Consequently, there is room for new non-invasive diagnostic methods that are objective, more logistically feasible and also deliver a far earlier base for a potential surgical intervention. In recent years, microRNA (miRNA) has come into the focus as a relevant early marker that could provide more insights into the etiology and progression of diseases. Therefore, in the search of a non-invasive HSCR biomarker, we analyzed miRNA expression in urine samples of HSCR patients. Results from 5 HSCR patients using microarrays, revealed hsa-miR-378 h, hsa-miR-210-5p, hsa-miR-6876-3p, hsa-miR-634 and hsa-miR-6883-3p as the most upregulated miRNAs; while hsa-miR-4443, hsa-miR-22-3p, hsa-miR-4732-5p, hsa-miR-3187-5p, and hsa-miR-371b-5p where the most downregulated miRNAs. Further search in miRNAwalk and miRDB databases showed that certainly most of these dysregulated miRNAs identified target HSCR associated genes, such as RET, GDNF, BDNF, EDN3, EDNRB, ERBB, NRG1, SOX10; and other genes implied in neuronal migration and neurogenesis. Finally, we could also validate some of these miRNA changes in HSCR urine by RT-qPCR. Altogether, our analyzed HSCR cohort presents a dysregulated miRNA expression presents that can be detected in urine. Our findings open the possibility of using specific urine miRNA signatures as non-invasive HSCR diagnosis method in the future.

Genomic Characterization and Prognostic Significance of Human Epidermal Growth Factor Receptor 2-Low, Hormone Receptor-Positive, Early Breast Cancers From the BIG 1-98 and SOFT Clinical Trials.

To investigate whether hormone receptor-positive, human epidermal growth factor receptor 2-low (HR+HER2-low) versus HR+HER2-zero early breast cancers have distinct genomic and clinical characteristics. This study included HR+, HER2-negative early breast cancers from patients enrolled in the phase III, randomized BIG 1-98 and SOFT clinical trials that had undergone tumor genomic sequencing. Tumors were classified HR+HER2-low if they had a centrally reviewed HER2 immunohistochemistry (IHC) score of 1+ or 2+ with negative in situ hybridization and HR+HER2-zero if they had an HER2 IHC score of 0. A total of 1,795 tumors were evaluable for this study (BIG 1-98 n = 520, SOFT n = 1,275). The frequency of HER2-low tumors was 37% and 21% in the postmenopausal BIG 1-98 and premenopausal SOFT cohorts, respectively. There were no significant differences in clinicopathologic variables between HER2-low and HER2-zero groups which was consistent across both trials. There was no significant difference in risk of distant recurrence for patients with HER2-low tumors versus HER2-zero tumors (5-year % distant recurrence-free 94.0% v 92.8%, P = .61, in BIG 1-98; 89.4% v 92.7%, P = .31, in SOFT, respectively). Somatic genomic profiles were similar with the exception of MAP3K1 mutations which were more frequent in HER2-zero tumors (BIG 1-98 19% v 5%, SOFT 11% v 6%). Both ERBB2 copy number and ERBB2 gene expression abundance were significantly higher in HER2-low tumors compared with HER2-zero tumors; however, the absolute difference was small. Correlation between ERBB2 copy number values and gene expression was modest (r = 0.17). In two large clinical trials with centrally reviewed HER2 IHC, our findings do not support HER2-low breast cancer as a distinct clinical or biologic entity among HR+HER2- early breast cancers. Absolute differences in median ERBB2 copy number levels or gene expression are small and of unclear biologic relevance.

Human Epidermal Growth Factor Receptor 2 Alterations and Prognostic Implications in All Subtypes of Breast Cancers.

Alterations in human epidermal growth factor receptor 2 (HER2; ERBB2 gene) may be clinically relevant when considering HER2-targeted therapies. We have characterized the breadth of ERBB2 alterations (mutation, fusion, and copy number amplification) in breast cancer and explored the relationship between ERBB2 alterations and prognosis. DNA next-generation sequencing (592-gene panel and whole-exome sequencing) and RNA whole-transcriptome sequencing data from 12,153 breast samples were retrospectively reviewed for ERBB2 alterations. Clinicopathologic features were described, including breast cancer subtype, age, and biopsy site. HER2 status was determined according to ASCO guideline recommendations, including HER2-low. Overall survival (OS) data were obtained from insurance claims, and Kaplan-Meier estimates were calculated for defined patient cohorts. Statistical significance was determined using chi-square and Wilcoxon rank-sum tests. Pathogenic ERBB2 mutations (ERBB2-mut) were identified in 3.2% (N = 388) of tumors overall, most common in liver metastases (113/1,972, 5.7%). ERBB2-mut was more common among breast lobular than ductal (10% v 2.1%; P < .001) and HER2-positive (HER2+)/low tumors (≥3.8% v 1.5% TNBC; P < .05). The most common variant was ERBB2-L755S (1.0% prevalence), enriched in metastatic tumors (1.2% v 0.6% in primary; P < .001). ERBB2 fusions were rare (0.3% prevalence). Coalterations associated with ERBB2-mutated tumors compared with ERBB2 wildtype (WT) included CDH1 (40.0% v 10.2%; P < .001) and ERBB3 (10.6% v 0.8%; P < .001). Of the 10,115 tumor samples with outcome data, ERBB2-mut was associated with worse OS compared with WT. ERBB2-mut and fusions were observed in all breast cancer subtypes-more commonly in HER2+/low, metastatic, and lobular histology tumors-and associated with poorer prognosis.

Novel machine learning model for predicting cancer drugs' susceptibilities and discovering novel treatments.

Timely treatment is crucial for cancer patients, so it's important to administer the appropriate treatment as soon as possible. Because individuals can respond differently to a given drug due to their unique genomic profiles, we aim to use their genomic information to predict how various drugs will affect them and determine the best course of treatment. We present Kernelized Residual Stacking (KRS), a new multi-task learning approach, and use it to predict the responses to anti-cancer drugs based on genomic data. We demonstrate the superior predictive performance of KRS, outperforming popular competitors, by utilizing the Genomics of Drug Sensitivity in Cancer (GDSC) study and the Cancer Cell Line Encyclopedia (CCLE) study. Downstream analysis of feature genes selected by KRS is conducted to discover novel therapies. We used two genomic studies to show that KRS outperforms a few popular competitors in predicting drugs' susceptibilities. Through downstream analysis of feature genes selected by KRS, we found that the PI3K-Akt pathway could alter drugs' susceptibilities, and its expression correlated positively with the hub gene ERBB2. We discovered eight novel small molecules based on these feature genes, which could be developed into novel combination therapies with anti-cancer drugs. KRS outperforms competitors in prediction performance and selects feature genes highly correlated with drugs' susceptibilities. Novel biological results are found by investigating KRS's feature genes.

IDENTIFICATION OF CLINICALLY RELEVANT GENE VARIANTS IN COLON ADENOCARCINOMA SAMPLES OF UKRAINIAN PATIENTS USING A COMPREHENSIVE CANCER PANEL: A PILOT STUDY.

We have studied 20 samples of Ukrainian patients with colorectal adenocarcinomas of various differentiation grades. To identify the clinically relevant gene variants, the CCP data were filtered using the Franklin by Genoox database. A total of 79 clinically relevant gene variant alterations (SNVs, INDELs) were found in 28 of 409 genes. The largest number of mutations was found in 3 genes, APC, TP53, and KRAS (16, 14, and 8, accordingly). We revealed 4 variants in PTEN and SMAD4, 3 variants in CHEK2, ERBB2, and PIK3CA genes, and 2 variants in AKT1, ATM, DST, IDH1, and TCF12. Mutations for 7 genes, KRAS, TP53, CHEK2, PTEN, AKT1, APC, and SMAD4, were found in more than 1 tumor tissue sample. Tier 1-2 gene variants rate was about 50% of all genetic variants. The therapeutic significance was found in more than 55% of mutations. Additionally, 11 novel genetic mutations in 9 genes have been identified, including G6PD, APC, DST, SINE1, SMAD2, and FLCN. These data suggest a high level of clinical relevance of the NGS CCP approach. Further confirmation on a larger number of samples and using a deeper analysis by other approaches is required.

Plasma mutation profile of precursor lesions and colorectal cancer using the Oncomine Colon cfDNA Assay

BackgroundColorectal cancer (CRC) is the second leading cause of cancer death worldwide. Early detection of precursor lesions or early-stage cancer could hamper cancer development or improve survival rates. Liquid biopsy, which detects tumor biomarkers, such as mutations, in blood, is a promising avenue for cancer screening.AimTo assess the presence of genetic variants in plasma cell-free tumor DNA from patients with precursor lesions and colorectal cancer using the commercial Oncomine Colon cfDNA Assay.Material and methodsCell-free DNA (cfDNA) samples from the plasma of 52 Brazilian patients were analyzed. Eight patients did not have any significant lesions (five normal colonoscopies and three hyperplastic polyps), 24 exhibited precursor lesions (13 nonadvanced adenomas, 10 advanced adenomas, and one sessile serrated lesion), and 20 patients with cancer (CRC). The mutation profile of 14 CRC-associated genes were determined by next-generation sequencing (NGS) using the Oncomine Colon cfDNA Assay in the Ion Torrent PGM/S5 sequencer.ResultsThirty-three variants were detected in eight genes (TP53, PIK3CA, FBXW7, APC, BRAF, GNAS, KRAS, and SMAD4). No variants were detected in the AKT1, CTNNB1, EGFR, ERBB2, MAP2K1 and NRAS genes. All variants were considered pathogenic and classified as missense or truncating. The TP53 gene harbored the most variants (48.48%), followed by the KRAS gene (15.15%) and the APC gene (9.09%). It was possible to detect the presence of at least one pathogenic variant in cfDNA in 60% of CRC patients (12/20) and 25% of precursor lesions (6/24), which included variants in three patients with nonadvanced adenoma (3/13 – 23.08%) and three with advanced adenomas (3/10 – 30%). No variants were detected in the eight patients with normal findings during colonoscopy. The detection of mutations showed a sensitivity of 60% and a specificity of 100% for detecting CRC and a sensitivity of 50% and a specificity of 100% for detecting advanced lesions.ConclusionThe detection of plasma NGS-identified mutations could assist in early screening and diagnostic of CRC in a noninvasive manner.

Leveraging Tumor Mutation Profiles to Forecast Immune Checkpoint Blockade Resistance in Melanoma, Lung, Head and Neck, Bladder and Renal Cancers

Immune checkpoint blockade (ICB), radiotherapy, chemotherapy and surgery are currently used as therapeutic strategies against melanoma, lung, bladder and renal cancers, but their efficacy is limited. Thus, I need to predict treatment response and resistance to address this challenge. In this study, I analyzed 350 lung cancer, 320 melanoma, 215 bladder cancer, 139 head and neck cancer and 151 renal carcinoma patients treated with ICB to identify tumor mutations associated with response and resistance to treatment. I identified several tumor mutations linked with a difference in survival outcomes following ICB. In lung cancer, missense mutations in ABL1, ASXL1, EPHA3, EPHA5, ERBB4, MET, MRE11A, MSH2, NOTCH1, PAK7, PAX5, PGR, ZFHX3, PIK3C3 and REL genes were indicative of favorable responses to ICB. Conversely, mutations in TGFBR2, ARID5B, CDKN2C, HIST1H3I, RICTOR, SMAD2, SMAD4 and TP53 genes were associated with shorter overall survival post-ICB treatment. In melanoma, mutations in FBXW7, CDK12, CREBBP, CTNNB1, NOTCH1 and RB1 genes predict resistance to ICB, whereas missense mutations in FAM46C and RHOA genes are associated with extended overall survival. In bladder cancer, mutations in HRAS genes predict resistance to ICB, whereas missense mutations in ERBB2, GNAS, ATM, CDKN2A and LATS1 genes, as well as nonsense mutations in NCOR1 and TP53 genes, are associated with extended overall survival. In head and neck cancer, mutations in genes like PIK3CA and KRAS correlated with longer survival, while mutations in genes like TERT and TP53 were linked to shorter survival. In renal carcinoma, mutations such as EPHA5, MGA, PIK3R1, PMS1, TSC1 and VHL were linked to prolonged overall survival, while others, including total splice mutations and mutations in B2M, BCOR, JUN, FH, IGF1R and MYCN genes were associated with shorter overall survival following ICB. Then, I developed predictive survival models by machine learning that correctly forecasted cancer patient survival following ICB within an error between 5 and 8 months based on their distinct tumor mutational attributes. In conclusion, this study advocates for personalized immunotherapy approaches in cancer patients.

Mutations in the PIK3C2B, ERBB3, KIT, and MLH1 Genes and Their Relationship with Resistance to Temozolomide in Patients with High-Grade Gliomas.

The treatment for patients with high-grade gliomas includes surgical resection of tumor, radiotherapy, and temozolomide chemotherapy. However, some patients do not respond to temozolomide due to a methylation reversal mechanism by the enzyme O6-methylguanine-DNA-methyltransferase (MGMT). In patients receiving treatment with temozolomide, this biomarker has been used as a prognostic factor. However, not all patients respond in the same way, which suggests the existence of other proteins involved in resistance to temozolomide chemotherapy. A group of thirty-one patients was recruited who were clinically and pathologically diagnosed with high-grade gliomas. The sequencing of 324 genes related to different types of cancer was performed to detect mutations. Subsequently, a statistical analysis was conducted to determine the mutated genes that were most related to resistance to treatment. According to the Stupp protocol and metronomic dose of the temozolomide treatment, the mutated genes related to the second relapse of patients with high-grade glioma were PIK3C2B, KIT, ERBB3, and MLH1. Considering the results obtained, we suggest that mutations in the four genes and methylation of the gene promoter that codes for the MGMT protein could be related to response to treatment with temozolomide.

Clinical outcomes with immune checkpoint inhibitors in patients with FGFR2/3, MTAP or ERBB2 genomic alterations in advanced urothelial carcinoma

FGFR2/3, MTAP and ERBB2 genomic alterations have treatment targets in advanced urothelial carcinoma (aUC). These alterations may affect tumor microenvironment and outcomes with immune checkpoint inhibitors (ICIs) in aUC. We identified patients with available genomic data in our multi-institution cohort of patients with aUC treated with ICI. Outcomes (observed response rate [ORR], progression-free and overall survival [PFS, OS]) with ICI were compared between patients with and without FGFR 2/3, MTAP, ERBB2 alterations. We compared ORR using logistic regression and PFS/OS using Cox proportional hazards. Out of 1,514 patients, 276 (18%), 174 (11%) and 208 (14%) patients had known FGFR2/3, MTAP and ERBB2 alteration status, respectively. and were treated with ICI in 1L or 2 + L. In patients with (vs. without) FGFR2/3 alteration, ORR with ICI was 21% vs. 32% (OR 0.54; [95%CI 0.32-0.91]), PFS was significantly shorter in patients with FGFR2/3 alterations (HR = 1.36 [95%CI 1.03-1.80]; P=0.03); OS was not significantly different (HR = 1.22 [95%CI 0.86-1.47]). In patients with (vs. without) MTAP alteration, ORR with ICI was 25% versus 40% (OR 0.52 [95%CI 0.20-1.38]); PFS and OS were nonsignificantly different. In patients with (vs. without) ERBB2 alteration, ORR with ICI was similar (37% vs. 35%; OR 1.06; 95%CI 0.57-1.97); PFS and OS were significantly longer in patients with ERBB2 alteration [HR 0.63 (95%CI 0.41-0.95); P=0.03; HR 0.66, [95% CI 0.44-0.97]), respectively. Our results support further evaluation of FGFR2/3, MTAP and ERBB2 alterations as putative biomarkers in patients with aUC treated with ICI.

Prognostic value of residual disease (RD) biology and gene expression changes during the neoadjuvant treatment in patients with HER2-positive early breast cancer (EBC).

In human epidermal growth factor receptor 2 (HER2)-positive early breast cancer (EBC), we investigated tumor and immune changes during neoadjuvant treatment and their impact on residual disease (RD) biology and prognostic implications across four neoadjuvant studies of trastuzumab with or without lapatinib, and with or without chemotherapy: CALGB 40601, PAMELA, NeoALTTO, and NSABP B-41. We compared tumor and immune gene expression changes during neoadjuvant treatment and their association with event-free survival (EFS) by uni- and multivariable Cox regression models in different cohorts and timepoints: 452 RD samples at baseline including 169 with a paired RD, and biomarker changes during neoadjuvant therapy, evaluating model performance via the c-index. Analysis of 169 paired tumor samples revealed a shift in intrinsic subtype proportions from HER2-enriched at baseline (50.3%) to normal-like (49.1%) followed by luminal A (18.9%) in RD. This luminal phenotypic change was supported by decreased correlation to the HER2-enriched centroid, ERBB2, and HER2 amplicon genes and increased correlation to the luminal A centroid (Wilcoxon test P < 0.001). Additionally, RD showed relative immune activation marked by significant increases in B-cell, CD8 T-cell, and natural killer cell signatures (Wilcoxon test P < 0.05). In multivariable Cox models, intrinsic subtypes at baseline provided more prognostic information, while immune gene expression signatures provided more prognostic information in RD. Notably, the best multivariable EFS model (c-index= 0.77) integrated the immunoglobulin G signature from RD samples (adjusted hazard ratio 0.45, 95% confidence interval 0.30-0.67, adjusted P= 0.002). In patients with HER2-positive EBC and RD, tumor biomarkers provide more prognostic information at baseline. In contrast, immune biomarkers perform better for EFS prognosis in RD.

Clinical and pathological characteristics of HR+ breast cancer with HER2 low and HER2(0) expression: exploring endocrine therapy sensitivity.

The clinical significance of human epidermal growth factor receptor 2 (HER2) low and HER2(0) expression in hormone receptor-positive (HR+) breast cancer patients remains uncertain. This study aimed to explore the clinical and pathological characteristics, prognosis, and endocrine therapy (ET) sensitivity among HR+ breast cancer patients with HER2 low and HER2(0) expression. We conducted a retrospective analysis of 390 HR+, HER2-negative breast cancer patients who underwent radical surgery at The First Affiliated Hospital of Bengbu Medical University between December 2014 and December 2017. HER2 status was classified per ASCO/CAP 2018 guidelines: tumors with an immunohistochemistry (IHC) score of 0 were defined as HER2(0), and those with a score of 1+ or 2+ with negative FISH for ERBB2 gene amplification were categorized as HER2 low. Clinical and pathological characteristics, ET sensitivity, and survival outcomes were analyzed. Primary endpoints included disease-free survival (DFS) and overall survival (OS), with ROC curve analysis employed to determine prognostic thresholds. Of the 390 HR+ breast cancer patients, 32.6% had HER2(0) expression [HER2(0) cohort] and 67.4% had HER2 low expression (HER2-low cohort). Most baseline characteristics were balanced between the two cohorts, and the HER2(0) cohort had significantly worse DFS and OS than the HER2-low cohort (both P<0.05). Within the same pN stage (pN0-2), patients with HER2 low expression had a better prognosis (all P<0.05). But at pN3, patients had worse survival outcomes (P=0.003). Patients with the IHC score >4 had significantly better OS (P<0.001) and DFS (P=0.003). No significant difference in OS and DFS was observed in the IHC score ≤4 group between cohorts (both P>0.05), whereas in the IHC score >4 group, the HER2-low cohort had better OS (P<0.001) and DFS (P=0.01). Patients with HER2 low expression have distinct clinical characteristics and a better prognosis compared to those with HER2(0) expression. Our study provides further real-world evidence for personalized treatment of breast cancer patients.

Potential Drug Synergy Through the ERBB2 Pathway in HER2+ Breast Tumors.

HER2-positive (HER2+) breast cancer is characterized by the overexpression of the ERBB2 (HER2) gene, which promotes aggressive tumor growth and poor prognosis. Targeting the ERBB2 pathway with single-agent therapies has shown limited efficacy due to resistance mechanisms and the complexity of gene interactions within the tumor microenvironment. This study aims to explore potential drug synergies by analyzing gene-drug interactions and combination therapies that target the ERBB2 pathway in HER2+ breast tumors. Using gene co-expression network analysis, we identified 23 metabolic pathways with significant cross-linking of gene interactions, including those involving EGFR tyrosine kinase inhibitors, PI3K, mTOR, and others. We visualized these interactions using Cytoscape to generate individual and combined drug-gene networks, focusing on frequently used drugs such as Erlotinib, Gefitinib, Lapatinib, and Cetuximab. Individual networks highlighted the direct effects of these drugs on their target genes and neighboring genes within the ERBB2 pathway. Combined drug networks, such as those for Cetuximab with Lapatinib, Cetuximab with Erlotinib, and Erlotinib with Lapatinib, revealed potential synergies that could enhance therapeutic efficacy by simultaneously influencing multiple genes and pathways. Our findings suggest that a network-based approach to analyzing drug combinations provides valuable insights into the molecular mechanisms of HER2+ breast cancer and offers promising strategies for overcoming drug resistance and improving treatment outcomes.

Analytical Validation and Performance Evaluation of Amplicon-Based Next-Generation Sequencing Assays for Detecting ERBB2 and Other Gene Amplifications in Solid Tumors.

Targeted next-generation sequencing (NGS) panels are increasingly being utilized to identify actionable gene amplifications (copy number > 4) among solid tumors. This study validated the analytical performance of two amplicon-based NGS assays, the Oncomine Comprehensive Panel (OCAv3) and the Oncomine Focus Assay (OFA), for detecting gene amplification in formalin-fixed paraffin-embedded (FFPE) tumors of varying cellularity. OCAv3 was assessed for amplification detection in 756 FFPE samples comprising various tumor types. We demonstrated that with standardized quality control metrics, including median absolute pairwise difference score, these assays can achieve a near-perfect positive predictive value, although their sensitivity for detecting amplifications significantly decreased in tumors with cellularity below 30%. Stratifying tumor cellularity into 10-30%, 31-60%, and 61-95% groups revealed significantly higher gene amplification detection rates in the 31-60% and 61-95% groups versus the 10-30% group (20.6% and 26.7% vs. 9.2%, p < 0.0001). When considering all detected gene amplifications, the average amplification calling per sample was nearly five-fold lower in the 10-30% group versus the 61-95% group (0.11 vs. 0.52; p < 0.0001). To further investigate the analytic performance of OCAv3 in detecting ERBB2 amplification, we analyzed a cohort of 121 uterine carcinomas with confirmed ERBB2 status by HER2 IHC or FISH, in which a threshold incorporating amplifications and tumor cellularity achieved 79% sensitivity and 100% specificity, potentially eliminating the need for FISH analysis in 34% of equivocal cases. In a separate validation cohort, similar analytical performance was observed, with the threshold demonstrating consistent sensitivity and specificity. This study highlights the strengths and limitations of amplicon-based NGS assays in detecting amplifications using real-world data.

EP.06F.03 Analysis of Copy Number Variations of MET, EGFR and ERBB2 Genes in a Lung Cancer Patient Series: Comparison of FISH with NGS

EP.06F.03 Analysis of Copy Number Variations of MET, EGFR and ERBB2 Genes in a Lung Cancer Patient Series: Comparison of FISH with NGS

Optimization of methods for rapid and robust generation of cardiomyocyte-specific crispants in zebrafish using the cardiodeleter system.

CRISPR/Cas9 has massively accelerated the generation of gene loss-of-function models in zebrafish. However, establishing tissue-specific mutant lines remains a laborious and time-consuming process. Although a few dozen tissue-specific Cas9 zebrafish lines have been developed, the lack of standardization of some key methods, including gRNA delivery, has limited the implementation of these approaches in the zebrafish community. To tackle these limitations, we have established a cardiomyocyte-specific Cas9 line, the cardiodeleter , which efficiently generates biallelic mutations in combination with gene-specific gRNAs. We have also optimized the development of transposon-based guide shuttles that carry gRNAs targeting a gene of interest and permanently label the cells susceptible to becoming mutant. We validated this modular approach by deleting five genes ( ect2 , tnnt2a , cmlc2 , amhc , and erbb2 ), all resulting in the loss of the corresponding protein or phenocopying established mutants. Additionally, we provide detailed protocols describing how to generate guide shuttles , which will facilitate the dissemination of these techniques in the zebrafish community. Our approach enables the rapid generation of tissue-specific crispants and analysis of mosaic phenotypes, bypassing limitations such as embryonic lethality, making it a valuable tool for cell-autonomous studies and genetic screenings.