Constitutively activated signal transducers and activators of transcription (STAT) are reported to cause uncontrolled transmission of growth signals. In this study, we analyzed the roles of an inhibitor of STAT, protein inhibitor of activated STAT (PIAS) 3, in the development of lung cancer. Treatment with an inhibitor of phosphatidylinositol 3-kinase, LY294002, retarded the growth of human lung cancer cells and rendered them more sensitive to chemotherapeutic agents. However, the inhibition of JAK/STAT by AG490 significantly suppressed cell growth but did not increase drug sensitivity at all. Overexpression of PIAS3 not only significantly inhibited cell growth but also rendered cancer cells up to 12.0-fold more sensitive to the above drugs, which was associated with the suppression of Akt phosphorylation. Inhibition of PIAS3 with small interfering RNA, nevertheless, led cancer cells to accelerate cell proliferation, deteriorate chemosensitivity, and augment Akt phosphorylation. Although the overexpression of suppressors of cytokine signaling 3 in cancer cells also inhibited cell growth and STAT3 phosphorylation, it neither increased sensitivity to chemotherapeutic drugs nor affected the phosphorylation of Akt. These results indicate that PIAS3 may be an attractive candidate for targeting the JAK/STAT and PI3-K/Akt signaling pathways in cancer treatment.

BackgroundVarious biomarkers have been shown to predict prognosis in various types of cancers. However, these biomarkers have not been studied in advanced small cell lung cancer (SCLC). The modified Glasgow prognostic score (mGPS) is based on serum albumin level and C-reactive protein (CRP). The prognostic nutritional index (PNI) is a combination of serum albumin level and absolute lymphocyte count. This study aimed to evaluate the prognostic value of mGPS and PNI in SCLC.MethodsWe retrospectively reviewed and calculated mGPS and PNI for patients with stage IIIB or IV SCLC who initiated platinum-based combination chemotherapy between November 2007 and June 2016. We compared overall survival (OS) and progression-free survival (PFS) between high and low groups of these two biomarkers. Univariate and multivariate Cox hazard analyses assessed the prognostic value of these biomarkers.ResultsWe reviewed 97 SCLC patients. The OS of patients with mGPS 0–1 and higher PNI was significantly longer than that of those with mGPS 2 and lower PNI. The PFS of mGPS 0–1 was significantly longer than that of mGPS 2, while there was no significant difference in PFS according to PNI. Multivariate analyses found mGPS 0–1 (hazard ratio [HR] 2.34, 95% confidence interval [CI] 1.27–4.31, P<0.01) and higher PNI (HR 0.50, 95% CI 0.31–0.78, P<0.01) as prognostic factors for longer OS. However, neither biomarker was predictive of PFS.ConclusionOur study was a small retrospective study; however, the data demonstrate that pretreatment mGPS and PNI are independent predictors of OS in patients with advanced SCLC. The pretreatment assessment of mGPS and PNI may be useful for identification of patients with poor prognosis. We recommend pretreatment measurement of serum albumin, C-reactive protein, and absolute lymphocyte count.

The application of these new cut-points would reclassify about one-third of the patients with COPD and, thus, would impact on individual disease management. Further validation in prospective studies of these new values are needed.

BackgroundNeutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) have been demonstrated to be prognostic biomarkers in various cancers, including non-small cell lung cancer (NSCLC). However, little has been known about these two ratios for a specific population of NSCLC harboring active epidermal growth factor receptor (EGFR) mutation.MethodsWe retrospectively reviewed electrical medical records of 152 patients who met the following criteria: NSCLC harboring mutant EGFR, EGFR-tyrosine kinase inhibitor (EGFR-TKI) monotherapy initiated between October 2007 and February 2017 at our hospital, stage III-IV or post-surgical recurrence. We compared overall survival (OS) and progression-free survival (PFS) between dichotomized groups by the optimal cut-off points of the two biomarkers. Univariate and multivariate Cox hazard analyses also searched for prognostic factors of survival time.ResultsOSs of NLR < 2.11 (median 38.6 vs. 24.1 months, P < 0.01) and LMR ≥ 5.09 (median 39.4 vs. 26.4 months, P < 0.01) were significantly longer than those of NLR ≥ 2.11 and LMR < 5.09. Multivariate analyses found lower NLR (hazard ratio (HR) 1.07, 95% CI: 1.01 - 1.14; P = 0.03) as an independent prognostic factor for longer OS, in addition to Eastern Cooperative Oncology Group performance status 0 - 1, first-line EGFR-TKI, higher serum sodium concentration and lower lactate dehydrogenase. However, LMR was not detected as a significant prognostic factor for OS. None of these two biomarkers was selected as an independent prognostic factor for PFS.ConclusionsThis study demonstrated that elevated NLR is an independent prognostic factor for poor survival of patients with EGFR mutant NSCLC. NLR is a useful and simple biomarker for these patients.

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