bioRxivCancer BiologyPreprint
SEASONAL PM2.5 DIFFERENTIALLY REGULATES JAK2/STAT3 SIGNALING IN RURAL AND URBAN COHORTS
Sukanya GhoshiD, Rupa Chaudhuri, Meghna MukherjeeiD, Anurima Samanta, Priyanka SahaiD, Lucas HennemaniD, Deepanjan Majumdar, Mita Ray Sengupta, Anindita ChakrabortyiD, Bidisha Maiti, Supratim GhoshiD, Avik BiswasiD, Dona SinhaiD
Abstract
Ambient particulate matter (PM2.5) is a major environmental carcinogen linked to lung cancer, yet its molecular insights on asymptomatic non-smokers remains unclear. This study examined the effect of seasonal fluctuations of PM2.5 on oxidative stress and pro-oncogenic signaling in rural (RU) and urban (UR) cohorts from West Bengal, India. Environmental monitoring revealed higher PM2.5 and associated benzo[]pyrene in UR, during winter, induced oxidative stress (elevated ROS, 8-OHdG), reduced antioxidants (SOD, catalase, GPx), and promoted airway inflammation. Transcriptomic and bioinformatic analyses identified activation of IL-6/EGFR-driven JAK2/STAT3 signaling and its crosstalk with Ras/Raf/MAPK, leading to increased expression of downstream effectors (BCL-2, MCL-1, c-MYC, cyclin D1) and repression of tumor suppressors (BAX, p21). Notably, downregulation of JAK/STAT inhibitors PIAS2 and SOCS2 suggested persistent activation of oncogenic signaling. Linear mixed-effects models linked winter PM2.5 surges to oxidative stress, inflammation, and altered JAK2/STAT3 signaling, while regression models showed stronger responses in UR. Risk modeling predicted significantly higher lung cancer mortality in UR, underscoring the role of seasonal PM2.5 surges in JAK2/STAT3-driven carcinogenic susceptibility and the urgent need for targeted interventions.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
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