Human ErbB2 ELISA kit
- Known as:
- Human ErbB2 Enzyme-linked immunosorbent assay test reagent
- Catalog number:
- BEK1052
- Product Quantity:
- 96 T
- Category:
- Elisa Kits
- Supplier:
- Biospect
- Gene target:
- Human ErbB2 ELISA kit
Related genes to: Human ErbB2 ELISA kit
- Gene:
- ERBB2 NIH gene
- Name:
- erb-b2 receptor tyrosine kinase 2
- Previous symbol:
- NGL
- Synonyms:
- NEU, HER-2, CD340, HER2
- Chromosome:
- 17q12
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2019-04-23
Related products to: Human ErbB2 ELISA kit
Related articles to: Human ErbB2 ELISA kit
- The role of ovarian function suppression (OFS) in premenopausal patients with hormone receptor (HR)-positive, HER2-positive breast cancer remains unclear in the era of anti-HER2 therapy. This study evaluated the effect of adding OFS to adjuvant endocrine therapy on outcomes in premenopausal patients receiving neoadjuvant anti-HER2 therapy. - Source: PubMed
Publication date: 2026/09/21
Aydin OkanDogan Hale Gulcin YildirimSonusen Sermin DincErciyestepe MertOzturk Ahmet EminBuyukkuscu AsliIsleyen Zehra SucuogluErturk Kayhan - Extramammary Paget's disease (EMPD) is a rare cutaneous adenocarcinoma with no established standard systemic therapy owing to limited clinical evidence. Approximately 40% of metastatic EMPD cases overexpress human epidermal growth factor receptor 2 (HER2), suggesting a potential therapeutic target. However, prospective evidence for HER2-directed antibody-drug conjugates (ADCs) in advanced EMPD is lacking. This study aimed to assess the efficacy and safety of trastuzumab emtansine (T-DM1) in patients with HER2-positive advanced EMPD. - Source: PubMed
Publication date: 2026/07/21
Arakawa SHirai INakamura YUchi HOhe SIsei TTakenouchi TMori STakai TYoshikawa SFujimura TYamamoto YOzaki TTakemura RFunakoshi T - Gastric HER2 scoring criteria, which are often extrapolated to endometrial cancer, differentiate between biopsy and resection specimens. The objective of this study was to evaluate concordance between gastric HER2 scores of endometrial sampling versus hysterectomy specimens among patients with high grade endometrial cancer. - Source: PubMed
Publication date: 2026/09/24
Salinaro Julia RMarketkar ShivaliHaddock ParkerJames NicoleDiSilvestro PaulMathews Cara - Juvenile myelomonocytic leukemia (JMML) is a rare and very aggressive pediatric myelodysplastic/myeloproliferative neoplasm with molecular heterogeneity and constitutive activation of the RAS signaling pathway. The aim of this study was to identify the mutational landscape, driver genes, mutational signatures, functional pathways, and therapeutic targets of mutations that affect receptor tyrosine kinases (RTKs) and RAS pathways in JMML. - Source: PubMed
Publication date: 2026/09/18
Goel HarshMajhi Ravi KumarMeena Jagdish PrasadChopra AnitaBakhshi SameerSingh LataSeth RachnaKar BibekanandaTanwar PranayGupta Aditya Kumar - Breast cancer is the most common cancer and the second leading cause of cancer-related death among women worldwide. For accurate diagnosis, pathologists use immunohistochemical (IHC) staining for biomarkers such as human epidermal growth factor receptor 2 (HER2) as an auxiliary test, in addition to hematoxylin and eosin (H&E) staining for evaluating tissue morphology. Traditional IHC staining is limited by high cost, time, and labor, with a shortage of pathologists to meet demand. In this work, we propose a digital HER2 IHC staining algorithm based on tumor masks. The proposed model builds on the Dual Contrastive Learning Generative Adversarial Network (DCLGAN), adding tumor mask loss, structural similarity index measure (SSIM) loss, and a modified identity loss that differentiates between active and inactive regions. Performance was quantitatively assessed by comparing HER2 scores using the Fréchet Inception Distance (FID) and a grade classification model. Compared to DCLGAN, the proposed model achieved a 27.2% decrease in FID and a 2.57% increase in soft accuracy. Visual evaluation further showed that it prevents yellow discoloration and suppresses nonspecific region staining seen in unsupervised learning. These results indicate that effective learning is achievable even with limited and unaligned data, thereby accelerating digital pathology workflows. - Source: PubMed
Publication date: 2026/09/19
Kim Dong-BumLee Jong-Ha