AIFM1 polyclonal antibody
- Known as:
- AIFM1 pab (anti-)
- Catalog number:
- PAB9937
- Product Quantity:
- 100 ug
- Category:
- -
- Supplier:
- Abno
- Gene target:
- AIFM1 polyclonal antibody
Ask about this productRelated genes to: AIFM1 polyclonal antibody
- Gene:
- AIFM1 NIH gene
- Name:
- apoptosis inducing factor mitochondria associated 1
- Previous symbol:
- PDCD8, NAMSD
- Synonyms:
- AIF, CMTX4
- Chromosome:
- Xq26.1
- Locus Type:
- gene with protein product
- Date approved:
- 1999-05-28
- Date modifiied:
- 2017-01-12
Related products to: AIFM1 polyclonal antibody
Related articles to: AIFM1 polyclonal antibody
- This study aimed to develop a robust predictive model and nomogram for breast cancer (BC) based on genes associated with diverse cell death methods. A prognostic model was constructed using the LASSO Cox method, incorporating twelve genes (CREB3L1, SFRP1, SHARPIN, AIFM1, IL‑18, CD24, EDA2R, CRIP1, XBP1, BCL2A1, NKX3‑1, and NME5). BC patients were classified into high‑risk and low‑risk subgroups, with the low‑risk subgroup showing superior survival, and this prognostic value was validated in an independent external cohort. A nomogram was also developed and confirmed as a reliable independent predictor of outcome. Enrichment analyses suggested a link between patient risk and immune response. The low‑risk subgroup exhibited a higher tumor microenvironment (TME) score. Patients in the high‑risk group showed improved responses to lapatinib, BI‑2536, OSI‑027, and SB505124, whereas those in the low‑risk subgroup had better sensitivity to axitinib, epirubicin, fulvestrant, and olaparib. Additionally, CD24 overexpression in BC cell lines promoted proliferation and migration, and inhibited apoptosis. These findings contribute to personalized treatment strategies and help elucidate the tumor microenvironment characteristics of BC patients. - Source: PubMed
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Publication date: 2026/05/13
Li XushengShuid Ahmad NazrunMiswan Mohd Fairudz MohdZhang XiaoGu WenboCao DonghuiWang JungangJiang ZiyangYuan Haifeng - : Clear cell renal cell carcinoma is the most common subtype of kidney cancer and exhibits marked biological heterogeneity, even among tumors of the same histological grade. Although tumor grade remains a key prognostic parameter, the molecular alterations associated with tumor differentiation are not fully understood. This study aimed to evaluate grade-dependent tissue-level expression patterns of proteins involved in cellular stress response, growth regulation, stemness, and apoptosis in clear cell renal cell carcinoma. : Protein expression of heat shock protein 70, insulin-like growth factor 1, octamer-binding transcription factor 4, and apoptosis-inducing factor were analyzed in human clear cell renal cell carcinoma samples and normal renal cortex. Low-grade and high-grade tumors were compared using immunofluorescence staining combined with semi-quantitative and quantitative image analysis. The proportion of positive signals and the number of positive cells were assessed across tissue compartments. In addition, publicly available transcriptomic data from The Cancer Genome Atlas kidney renal clear cell carcinoma cohort were analyzed to explore associations between gene expression levels and overall survival. : Distinct grade-dependent expression patterns were observed for all investigated proteins. Heat shock protein 70, insulin-like growth factor 1, and octamer-binding transcription factor 4 showed a higher expression in normal renal tissue with a progressive reduction across tumor grades. In contrast, apoptosis-inducing factor exhibited increased expression in tumor tissue, particularly in low-grade tumors, with a relative decrease in high-grade carcinomas. Stromal compartments of tumor tissue showed minimal or no expression for most markers. Transcriptomic survival analysis did not reveal significant differences in overall survival between high- and low-expression groups for any of the investigated genes. Grade-stratified transcriptomic analysis of the TCGA KIRC cohort revealed consistent patterns for HSP70 family members and OCT4, with progressive grade-dependent mRNA reduction toward higher grades, while IGF1 showed an inverse mRNA trend and AIFM1 showed a uniform reduction across all tumor grades without a clear inter-grade pattern. : The findings demonstrate that stress response, growth-related, stemness-associated, and apoptotic proteins display distinct grade-dependent tissue-level expression patterns in clear cell renal cell carcinoma, with the expression profiles of high-grade tumors being of particular translational interest given the aggressive clinical behavior and therapeutic resistance characteristic of this disease stage. These alterations appear to reflect tumor differentiation and biological behavior rather than independent prognostic value, highlighting the complexity of molecular regulation in renal tumorigenesis. - Source: PubMed
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