Profiling of Adipose and Skeletal Muscle in Human Pancreatic Cancer Cachexia Reveals Distinct Gene Profiles with Convergent Pathways.
Ashok NarasimhanXiaoling ZhongErnie P AuEugene P CeppaAtilla NakeebMichael G HouseNicholas J ZyromskiC Max SchmidtKatheryn N H SchlossDaniel E I SchlossYunlong LiuGuanglong JiangBradley A HancockMilan RadovichJoshua K KaysSafi ShahdaMarion E CouchLeonidas G KoniarisTeresa A ZimmersPublished in: Cancers (2021)
The vast majority of patients with pancreatic ductal adenocarcinoma (PDAC) suffer cachexia. Although cachexia results from concurrent loss of adipose and muscle tissue, most studies focus on muscle alone. Emerging data demonstrate the prognostic value of fat loss in cachexia. Here we sought to identify the muscle and adipose gene profiles and pathways regulated in cachexia. Matched rectus abdominis muscle and subcutaneous adipose tissue were obtained at surgery from patients with benign conditions (n = 11) and patients with PDAC (n = 24). Self-reported weight loss and body composition measurements defined cachexia status. Gene profiling was done using ion proton sequencing. Results were queried against external datasets for validation. 961 DE genes were identified from muscle and 2000 from adipose tissue, demonstrating greater response of adipose than muscle. In addition to known cachexia genes such as FOXO1, novel genes from muscle, including PPP1R8 and AEN correlated with cancer weight loss. All the adipose correlated genes including SCGN and EDR17 are novel for PDAC cachexia. Pathway analysis demonstrated shared pathways but largely non-overlapping genes in both tissues. Age related muscle loss predominantly had a distinct gene profiles compared to cachexia. This analysis of matched, externally validate gene expression points to novel targets in cachexia.
Keyphrases
- skeletal muscle
- adipose tissue
- genome wide
- insulin resistance
- genome wide identification
- gene expression
- body composition
- weight loss
- transcription factor
- copy number
- dna methylation
- genome wide analysis
- high fat diet
- endothelial cells
- type diabetes
- single cell
- bariatric surgery
- coronary artery disease
- bioinformatics analysis
- metabolic syndrome
- rna seq
- roux en y gastric bypass
- deep learning
- radiation therapy
- african american
- bone mineral density
- rectal cancer
- high intensity
- locally advanced