Aim. To explore the clinicopathological and prognostic role of PIK3CA gene mutation and expression in non‐small‐cell lung cancer (NSCLC) patients. Methods. A systematic and comprehensive literature search was conducted through EMBASE (via OVID), Web of Science, and PubMed. Relative risks (RRs) and hazard ratios (HRs) with 95% confidence intervals (CIs) were combined to evaluate the relationship of the PIK3CA gene with clinicopathological parameters and the survival of NSCLC patients, respectively. Results. A total of 13 studies involving 3908 patients were analyzed in our study. Only lymph node metastasis status had an association with PIK3CA mutation (RR = 2.823; 95% CI: 1.128‐7.065; P = 0.029). The results indicated that PICK3CA mutation was related with overall survival (OS) (HR = 1.55; 95% CI: 1.13‐2.13; P = 0.007), progression‐free survival (PFS) (HR = 1.48; 95% CI: 1.06‐2.08; P = 0.023), and cancer‐specific survival (CSS) (HR = 2.63; 95% CI: 1.00‐6.92; P = 0.005). Furthermore, PIK3CA high expression was more prevalent in NSCLC patients with smoking history (RR = 2.42; 95% CI: 1.04‐5.61; P = 0.040). However, no significant relation between PIK3CA expression and OS was found (HR = 0.80; 95% CI: 0.58‐1.12; P = 0.193). Conclusion. PIK3CA mutation may affect lymph node metastasis and serve as a promising prognostic factor, and smoking may be related with PIK3CA high expression in NSCLC patients. However, more well‐designed prospective researches are needed to verify the abovementioned findings.

Background: Previous studies demonstrated a significant association between the albumin–globulin ratio (AGR) and various types of cancers. The aim of this study was to evaluate the prognostic value of preoperative AGR in patients with early-stage non-small cell lung cancer (NSCLC). Methods: Patients diagnosed as NSCLC in a single center between January 1, 2014 and February 29, 2016 were retrospectively reviewed. AGR was defined as the ratio between the serum albumin level and the serum globulin level. Receiver operating characteristics analysis was performed to determine optimal cutoff values. Overall survival (OS) and disease-free survival (DFS) were clinical outcomes of our study. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors, and the Kaplan–Meier method was used to estimate survival curves. Results: A total of 279 early stage NSCLC patients were enrolled in our study with the median follow-up of 39 months (range 1–56 months). The statistical analyses manifested that the age (hazard ratio (HR)=1.045, 95% confidence interval (95% CI): 1.010–1.081, P=0.011) and AGR P=0.002) were independent prognostic factors for OS; larger tumor (HR=1.211, 95% CI: 1.011–1.450, P=0.038) and AGR P=0.036) were significantly associated with decreased DFS. Conclusion: The current research reported that the preoperative AGR was an independent prognostic factor for both OS and DFS in early NSCLC, and patients with AGR <1.51 were more likely to have a poor prognosis.

RNA modifications implicate pathological and prognosis significance in cancer development and progression, of which, m6A and m5C are representative regulators. These RNA modifications could produce effects on the function of other RNA by regulating gene expression. Thus, in this study, we aimed to explore the correlation between m6A/m5C regulators and early-stage lung adenocarcinoma (LUAD). Only the early-stage LUAD samples were included in this investigation, and the RNA-seq dataset of The Cancer Genome Atlas (TCGA) cohort was utilized to evaluate the expression of 37 m6A/m5C regulated genes. Based on the expression level of these 37 genes, early-stage LUAD patients were divided into 2 clusters, which were performed by consensus clustering, and the m6A/m5C subtypes had significantly different prognostic outcomes (p < 0.001). Cluster1, which has a better prognosis, was characterized by the C3 (inflammatory) immune subtype, low immune infiltration, chemokine expression, major histocompatibility complex (MHC) expression, and immune checkpoint molecule expression. Furthermore, compared with cluster1, cluster2 showed a T cell exhaustion state, characterized by a high expression of immune checkpoint genes, and immune cells, such as T cells, CD8+ T cells, cytotoxic lymphocytes, NK cells, and so on. In addition, patients in cluster2 were with high tumor mutational burden (TMB) and numerous significant mutated oncogene and tumor suppressor genes, such as WNT10B, ERBB4, SMARCA4, TP53, and CDKN2A (p < 0.001). A total of 19 genes were mostly related to the prognosis of LUAD and were upregulated in cluster2 (p < 0.05), showing a positive correlation with the mRNA expression of 37 m6A/m5C regulated genes. The predictive risk model was constructed using Cox and LASSO (least absolute shrinkage and selection operator) regression analysis. Finally, a seven-gene m6A/m5C risk model, comprising of METTL3, NPLOC4, RBM15, YTHDF1, IGF2BP1, NSUN3, and NSUN7, was constructed to stratify the prognosis of early-stage LUAD (p = 0.0049, AUC = 0.791). The high-risk score was associated with a poorer prognosis. This model was also validated using two additional GEO datasets: GSE72094 (p = 0.011, AUC = 0.736) and GSE50081 (p = 0.012, AUC = 0.628). In summary, it was established that the m6A/m5C-regulated genes performed a crosstalk function in the mRNA expression of early-stage LUAD. By interacting with other mRNA genes, m6A/m5C modification disturbs DNA replication and the tumor immune microenvironment (TIME). The seven-gene risk model may be a critical tool for the prognostic assessment of early-stage LUAD.

Background: The neutrophil‐to‐lymphocyte ratio (NLR), platelet‐to‐lymphocyte ratio (PLR), and lymphocyte‐to‐monocyte ratio (LMR) are reported to show a strong correlation with prognosis in patients with non‐small cell lung cancer (NSCLC). We aimed to describe a novel scoring system combining these ratios, termed the inflammatory response biomarker (IRB) score, and test its prognostic value in NSCLC.Methods: The data of 261 NSCLC patients who underwent thoracoscopic radical resection in a single center were retrospectively reviewed. The IRB score was defined as follows: a high NLR (> 2.12), a high PLR (92.9), and a low LMR (< 4.57) were each scored as 1; the opposite values were scored as 0. The individual scores were added to produce the IRB score (range: 0–3).Results: Multivariate analyses indicated that high tumor node metastasis (TNM) stage (hazard ratio [HR] 2.721, 95% confidence interval [CI] 1.597–4.989; P < 0.001) and an IRB score ≥ 2 (HR 2.696, 95% CI 1.506–4.826; P = 0.001) were independent prognostic factors for poor overall survival. Furthermore, smoking history (HR 2.953, 95% CI 1.086–8.026; P = 0.034), high TNM stage (HR 3.108, 95% CI 1.911–5.056; P < 0.001), and IRB score ≥ 2 (HR = 2.316, 95% CI: 1.389–3.861; P = 0.001) were demonstrated to be independent prognostic factors for poor disease‐free survival.Conclusion: The novel scoring system combining NLR, PLR, and LMR was an independent prognostic factor in NSCLC patients undergoing thoracoscopic radical resection and was superior to these ratios alone for predicting prognosis.

Breast cancer is the most common malignancy in women and the second most common cause of cancer-related death. Due to advances in the diagnosis and treatment technologies for breast cancer, patients with breast cancer are living longer than before, resulting in an increased risk of developing subsequent malignancies, among which lung cancer is the most common. This review presents the current evidence about the risk, influencing factors and prognostic factors of developing primary lung cancer after treatment for breast cancer. The aim is to help clinicians improve their understanding, diagnosis and treatment of lung cancer after breast cancer.