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Highlights d EZH2 downregulation leads to SASP maintenance through depletion of H3K27me3 marks d Senescent CAFs in ascites of GC patients with peritoneal dissemination exhibit SASP d Senescent CAFs enhance the peritoneal tumor formation through JAK/STAT3 signaling d A JAK inhibitor blocks peritoneal tumor formation driven by systemic inflammation

Smoking is the number one risk factor for cancer mortality but only 15–20% of heavy smokers develop lung cancer. It would, therefore, be of great benefit to identify those at high risk early on so that preventative measures can be initiated. To investigate this, we evaluated the effects of smoking on inflammatory markers, innate and adaptive immune responses to bacterial and viral challenges and blood cell composition. We found that plasma samples from 30 heavy smokers (16 men and 14 women) had significantly higher CRP, fibrinogen, IL-6 and CEA levels than 36 non-smoking controls. Whole blood samples from smokers, incubated for 7 h at 37 °C in the absence of any exogenous stimuli, secreted significantly higher levels of IL-8 and a number of other cytokines/chemokines than non-smokers. When challenged for 7 h with E. coli, whole blood samples from smokers secreted significantly lower levels of many inflammatory cytokines/chemokines. However, when stimulated with HSV-1, significantly higher levels of both PGE2 and many cytokines/chemokines were secreted from smokers’ blood samples than from controls. In terms of blood cell composition, red blood cells, hematocrits, hemoglobin levels, MCV, MCH, MCHC, Pct and RDW levels were all elevated in smokers, in keeping with their compromised lung capacity. As well, total leukocytes were significantly higher, driven by increases in granulocytes and monocytes. In addition, smokers had lower NK cells and higher Tregs than controls, suggesting that smoking may reduce the ability to kill nascent tumor cells. Importantly, there was substantial person-to person variation amongst smokers with some showing markedly different values from controls and others showing normal levels of many parameters measured, indicating the former may be at significantly higher risk of developing lung cancer.

Over the past few decades, advances in this field have demonstrated that the complexity of cancer is not only dependent on the intrinsic characteristics of tumor cells but also mainly determined by crosstalk between altered cancer cells and various components of the tumor microenvironment (TME). This complexity has become a considerable obstacle in discovering the specific mechanism(s) underlying treatment failure. Many various cell types are present within the TME, including fibroblasts and endothelial, adipose, mesenchymal, and proinflammatory immune cells. 1 Among these cell types, fibroblasts have emerged as a pivotal effector of cancer metabolism and transformation due to their abundance in the tumor stromal tissue and their diverse biological functions. Fibroblasts usually remain in a quiescent state and are flexibly activated and deactivated in response to changes due to tissue damage and wound healing; this results in the generation of myofibroblasts characterized by the expression of α-smooth muscle actin (α-SMA), a fibroblast marker. 2-4 These activated fibroblasts interact closely with tumor cells through multiple mechanisms and produce different results 5 , therefore they are defined as cancer-associated fibroblasts (CAFs) rather than normal fibroblasts (NFs). Among the tumor-promoting functions of CAFs, their reinforcement of chemoresistance is a crucial component due to the importance of establishing an effective anticancer

Chronic inflammation has a crucial role in cancer development and the progression of various tumors, including pancreatic ductal adenocarcinoma (PDAC). The arachidonate cascade is a major inflammatory pathway that produces several metabolites, such as prostaglandin E2. The enzyme 15‐hydroxyprostaglandin dehydrogenase (15‐PGDH) degrades prostaglandin and is frequently decreased in several types of cancer; however, the molecular mechanisms of 15‐PGDH suppression are unclear. The current study was carried out to elucidate the molecular mechanisms and clinical significance of 15‐PGDH suppression in PDAC. Here, we showed that interleukin‐1β (IL‐1β), a pro‐inflammatory cytokine, downregulates 15‐PGDH expression in PDAC cells, and that IL‐1β expression was inversely correlated with 15‐PGDH levels in frozen PDAC tissues. We also found that activated macrophages produced IL‐1β and reduced 15‐PGDH expression in PDAC cells. Furthermore, the number of CD163‐positive tumor‐associated macrophages was shown to be inversely correlated with 15‐PGDH levels in PDAC cells by immunohistochemical staining of 107 PDAC samples. Finally, we found that low 15‐PGDH expression was significantly associated with advanced tumors, presence of lymph node metastasis and nerve invasion, and poor prognosis in PDAC patients. Our results indicate that IL‐1β derived from TAMs suppresses 15‐PGDH expression in PDAC cells, resulting in poor prognosis of PDAC patients.