# FAM-related prognostic molecular subtype screening identified epithelial-derived MAOA-inhibiting bladder cancer

**Authors:** Hui Yu, Qingqiang Lei, Wenyong Yang, Min Cao, Miaoyu Zhang, Taisong Wang, Junhao Dong, Xuerui Chen, Xu Su, Yi Huang, He Xu, Hui Zhuo, Liangbin Lin

PMC · DOI: 10.3389/fcell.2026.1732999 · 2026-02-27

## TL;DR

This study identifies a new molecular subtype of bladder cancer linked to fatty acid metabolism and highlights MAOA as a potential therapeutic target.

## Contribution

A novel FAM-related prognostic signature (FAMR) was developed and validated for bladder cancer prognosis.

## Key findings

- BLCA was classified into two subtypes with distinct survival and immune profiles.
- MAOA knockdown increased bladder cancer cell proliferation and migration in vitro.
- FAMR scores correlated with patient age, gender, and tumor stage.

## Abstract

Fatty acid metabolism (FAM) is essential for cancer cell proliferation and progression, contributing to membrane synthesis, energy storage, and signaling molecule production. However, effective therapeutic strategies targeting FAM are yet to be established in clinical practice. This study aimed to develop a novel FAM-related prognostic signature for bladder cancer (BLCA) and investigate its biological and clinical significance.

We analyzed 359 BLCA samples and constructed a four-gene FAM-RiskScore (FAMR) signature based on FAM-related genes. Unsupervised clustering was performed to classify BLCA into molecular subtypes. The FAMR model was validated using internal and external cohorts. Functional enrichment, immune infiltration, and single-cell RNA sequencing analyses were conducted to explore underlying biological mechanisms. In vitro experiments, including proliferation and migration assays, were performed in T24 and 5637 bladder cancer cells following MAOA knockdown.

BLCA samples were classified into two subtypes (C1 and C2), with C1 showing better overall survival, enhanced steroid metabolism, downregulated chemokine signaling, and lower immune scores. The FAMR signature comprising PATZ1, TTC6, AEBP1, and MAOA was established. High FAMR scores–associated with low PATZ1, TTC6, MAOA, and high AEBP1 expression–predicted poor prognosis. FAMR positively correlated with pathways related to chemotaxis, inflammation, and cytoskeleton regulation, but negatively with fatty acid metabolism pathways. Higher FAMR scores were observed in females, patients aged >60, and advanced-stage tumors. Single-cell analysis revealed AEBP1 was mainly expressed in cancer-associated fibroblasts, while MAOA was enriched in cancer cells. Functional studies demonstrated that MAOA knockdown significantly enhanced proliferation and migration of bladder cancer cells in vitro.

We developed and validated a novel FAM-related risk signature that effectively predicts prognosis in BLCA. Our findings highlight MAOA as a potential tumor suppressor in bladder cancer, warranting further investigation as a therapeutic target. This FAMR model may facilitate risk stratification and inform personalized treatment strategies for bladder cancer patients.

## Linked entities

- **Genes:** PATZ1 (POZ/BTB and AT hook containing zinc finger 1) [NCBI Gene 23598], TTC6 (tetratricopeptide repeat domain 6) [NCBI Gene 319089], AEBP1 (AE binding protein 1) [NCBI Gene 165], MAOA (monoamine oxidase A) [NCBI Gene 4128]
- **Diseases:** bladder cancer (MONDO:0004986)

## Full-text entities

- **Genes:** PATZ1 (POZ/BTB and AT hook containing zinc finger 1) [NCBI Gene 23598] {aka MAZR, PATZ, RIAZ, ZBTB19, ZNF278, ZSG}, TTC6 (tetratricopeptide repeat domain 6) [NCBI Gene 319089] {aka C14orf25, NCRNA00291}, AEBP1 (AE binding protein 1) [NCBI Gene 165] {aka ACLP}, MAOA (monoamine oxidase A) [NCBI Gene 4128] {aka BRNRS, MAO-A}
- **Diseases:** cancer (MESH:D009369), inflammation (MESH:D007249), BLCA (MESH:D001749)
- **Chemicals:** steroid (MESH:D013256), Fatty acid (MESH:D005227)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12982390/full.md

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Source: https://tomesphere.com/paper/PMC12982390