Transcription Factor MAFB as a Prognostic Biomarker for the Lung Adenocarcinoma.
Omar SamirNaohiro KobayashiTeppei NishinoMennatullah SiyamManoj Kumar YadavYuri InoueSatoru TakahashiMichito HamadaPublished in: International journal of molecular sciences (2022)
MAFB is a basic leucine zipper (bZIP) transcription factor specifically expressed in macrophages. We have previously identified MAFB as a candidate marker for tumor-associated macrophages (TAMs) in human and mouse models. Here, we analyzed single-cell sequencing data of patients with lung adenocarcinoma obtained from the GEO database (GSE131907). Analyzed data showed that general macrophage marker CD68 and macrophage scavenger receptor 1 (CD204) were expressed in TAM and lung tissue macrophage clusters, while transcription factor MAFB was expressed specifically in TAM clusters. Clinical records of 120 patients with lung adenocarcinoma stage I ( n = 57), II ( n = 21), and III ( n = 42) were retrieved from Tsukuba Human Tissue Biobank Center (THB) in the University of Tsukuba Hospital, Japan. Tumor tissues from these patients were extracted and stained with anti-human MAFB antibody, and then MAFB-positive cells relative to the tissue area (MAFB + cells/tissue area) were morphometrically quantified. Our results indicated that higher numbers of MAFB + cells significantly correlated to increased local lymph node metastasis (nodal involvement), high recurrence rate, poor pathological stage, increased lymphatic permeation, higher vascular invasion, and pleural infiltration. Moreover, increased amounts of MAFB + cells were related to poor overall survival and disease-free survival, especially in smokers. These data indicate that MAFB may be a suitable prognostic biomarker for smoker lung cancer patients.
Keyphrases
- transcription factor
- induced apoptosis
- endothelial cells
- cell cycle arrest
- free survival
- single cell
- lymph node metastasis
- electronic health record
- endoplasmic reticulum stress
- healthcare
- squamous cell carcinoma
- adipose tissue
- signaling pathway
- oxidative stress
- emergency department
- ejection fraction
- machine learning
- smoking cessation
- cell death
- prognostic factors
- rna seq
- radiation therapy
- high throughput
- papillary thyroid
- genome wide identification