Objective To investigate the expression and clinical significance of S100A4 protein in tumorstroma of nonsmall cell lung cancer（NSCLC） to study its correlation with invasion, metastasis and prognosis. Methods Immunohistochemical staining（SP method）for S100A4 protein expression was performed in tissue sections from 130 patients with NSCLC operated and to analyze association of S100A4 protein with clinicopathological parameters in lung cancer and prognosis. Results The total positive expression rates of S100A4 protein in stroma of NSCLC was 72.3%. The positive expression rates of S100A4 protein in stroma of squamous cell carcinoma, adenocarcinoma, adenosquamous carcinoma and large cell lung cancer were 84.3%，59.6%，70.0% and 75% respectively.The expression of S100A4 protein was significantly associated with lymph node metastasis (χ2=18.91, P=0.000), distant metastasis(χ2=5.51, P=0.019) and TNM stage (χ2=21.54, P=0.000). The 3 years survival rates of patients whose tumourstroma stained positive for S100A4 was lower than that of patients whose tumourstroma stained negative (36.2% vs. 63.9%, P=0.003). Cox’ risk ratio model analysis indicated that age ≤50 years (OR=1.866), lymph node metastasis(OR=1.826), distant metastasis(OR=6.224), lower histology differentiation and undifferentiation (OR=1.793), TNM stage Ⅲ-Ⅳ (OR=2.573) and positive expression of S100A4 protein in stroma of NSCLC(OR=1.776) were significantly independent prognostic factors which affected survival. Conclusion Expression of S100A4 protein in stroma of NSCLC is significantly associated with invasion, metastasis, TNM stage and prognosis. S100A4 protein might become a marker for prediction of tumor progression of disease and clinical therapy.
Lung cancer is one of the most malignant common tumor worldwidely and it's the most popular cancer in China. Both the prevalence and mortality of it are higher than other cancers. And its 5-year survival rate is 15%. Non-small cell lung cancer(NSCLC) accounts for about 85% lung cancer and its pathogenesis has not been elucidated. Therefore, early prediction and detection are very important for improving the effect of treatment and prognosis. Recently, dysregulation and excessive activity of the C4.4A as a member of the LY6/uPAR family of membrane proteins has been shown to associate with multiple cancer types. And previous studies suggest that the C4.4A participates in the invasion and metastasis of NSCLC. At the same time, circumstantial evidence proves that C4.4A and liver kinase B1(LKB1) tumor suppressor gene have a negative regulatory relationship. This article will briefly summarize the recent research progresses of C4.4A in NSCLC.
In recent years, the computer science represented by artificial intelligence and high-throughput sequencing technology represented by omics play a significant role in the medical field. This paper reviews the research progress of the application of artificial intelligence combined with omics data analysis in the diagnosis and treatment of non-small cell lung cancer (NSCLC), aiming to provide ideas for the development of a more effective artificial intelligence algorithm, and improve the diagnosis rate and prognosis of patients with early NSCLC through a non-invasive way.
Objective To investigate the prognostic value of ERBB2 Exon20ins (Exon20ins) in advanced non-small cell lung cancer (NSCLC) patients receiving first-line chemotherapy combined with immunotherapy. Methods A retrospective analysis was conducted on clinical data from ERBB2-mutant stage IV NSCLC patients who received first-line chemotherapy combined with immunotherapy at West China Hospital of Sichuan University between 2020 and 2024. ERBB2 wild-type patients were matched using propensity score matching. Clinical pathological characteristics, distant metastatic sites, and treatment outcomes were compared among patients with different mutation statuses. The primary endpoint was progression-free survival (PFS), and Kaplan-Meier method was used to plot survival curves. Cox regression analysis was performed to adjust for confounding factors. Results This study included 41 ERBB2-mutant stage IV NSCLC patients, of whom 22 had Exon20ins mutations, and 19 had other ERBB2 mutations. Forty-one ERBB2 wild-type patients were matched for comparison. The mean age of all patients was 60.0±9.3 years, with 61 males (74.4%). A total of 67 patients (81.7%) received chemotherapy combined with immunotherapy, and 15 patients (18.3%) received chemotherapy combined with immunotherapy and anti-angiogenesis therapy. The Exon20ins group showed a higher incidence of lymph node metastasis compared with the ERBB2 other mutation group and the wild-type group (36.4% vs. 15.8% vs. 9.8%, P=0.045). The median PFS in the Exon20ins group was significantly shorter than in the other mutation group (5.8 months vs. 10.3 months, P=0.025) and the wild-type group (5.8 months vs. 8.3 months, P=0.023). Univariate Cox regression analysis indicated that the ERBB2 Exon20ins mutation was an adverse prognostic factor (Exon20ins vs. other ERBB2 mutations, HR=2.9, 95%CI 1.18 - 7.1, P=0.014; Exon20ins vs. wild-type, HR=2.6, 95%CI 1.25 - 5.6, P=0.014). The combination with anti-angiogenesis therapy did not significantly affect the prognosis of PFS (HR=0.66, 95%CI 0.28 - 1.6, P=0.363). Multivariate Cox regression analysis revealed that the ERBB2 Exon20ins mutation was an independent adverse prognostic factor for PFS (Exon20ins vs. other ERBB2 mutations, HR=3.3, 95%CI 1.27 - 8.3, P=0.015; Exon20ins vs. wild-type, HR=2.7, 95%CI 1.2 - 5.88, P=0.014). For the 67 patients receiving chemotherapy combined with immunotherapy, Cox regression analysis showed that the ERBB2 Exon20ins mutation was still associated with poor prognosis in advanced NSCLC (Exon20ins vs. other ERBB2 mutations, HR=3.2, 95%CI 1.12 - 9.1, P=0.030; Exon20ins vs. wild-type, HR=2.5, 95%CI 1 - 5.88, P=0.040). Conclusions Advanced NSCLC patients with ERBB2 Exon20ins mutation have a worse prognosis compared with those with other ERBB2 mutation subtypes or ERBB2 wild-type when treated with first-line chemotherapy combined with immunotherapy. This suggests that ERBB2 Exon20ins mutation, as a particularly refractory mutation, requires the exploration of new combination strategies based on molecular subtyping to improve survival outcomes.
Objective To predict clinical chemotherapy sensitivity of primary non-small cell lung cancer（NSCLC） by methylthiazal （MTT） tumor chemosensitivity assay method in vitro and detection of multidrug resistance gene1 （MDR1）, and provide reference for clinical individualized treatment. Methods We selected 80 fresh primary NSCLC samples from NSCLC patients who underwent surgical resection in Zibo Central Hospital Affiliated to Binzhou Medical College between January 2009 and December 2011. There were 46 male patients and 34 female patients with their median age of 54 （29 to 81）years. Viable NSCLC cells obtained from malignant tissue were tested for their sensitivity to cisplatin （DDP）, gemcitabine （GEM）, docetaxe （DOC）, etoposide （VP-16） ,and vinorelbine （NVB） using MTT assay in vitro. Fluorescent quantitative reverse transcriptase-polymerase chain reaction （RT-PCR） was used to analysis the expression level of multidrug resistance gene1 （MDR1）. Results After exposure to antitumor drugs, morphologic changes, decrease of metabolic activity, and apoptosis were detected in NSCLC cells. MTT results showed that different individual cancer cells had different chemosensitivity to antitumor drugs, and cancer cells also had different chemosensitivity to different antitumor drugs. Inhibitory rates of cancer cells exposed to DOC, GEM, and VP-16 were significantly higher than those of cancer cells exposed to DDP and NVB （42.5%±9.5%, 40.5%±6.5%, 38.4%±7.6% versus 31.5%±8.5%，32.5%±7.8%, P＜0.05）.The positive rate of MDR1 in tumor tissues was 40.0% （32/80）. The expression of MDR1 was not associated with tumor histological type, degree of differentiation, lymph node metastasis and TNM stage. The expression of MDR1 was associated with resistance to NVB （χ2=5.209，P=0.022），GEM （χ2=4.769，P=0.029），VP-16 （χ2=4.596，P=0.032），and DDP（χ2=6.086，P=0.014）, but not associated with resistance to DOC（χ2=0.430，P=0.512）. Conclusion MTT chemosensitivity assay can effectively predict clinical chemotherapy sensitivity. Detection of MDR1, together with MTT chemosensitivity assay, can more accurately predict NSCLC chemosensitivity and be a guide for individualized chemotherapy of NSCLC.
ObjectiveTo detect mRNA and protein expression of CUG-binding protein 1(CUGBP1)in non-small cell lung cancer (NSCLC), and assess the prognostic significance of CUGBP1. MethodsFifty-seven NSCLC patients who received surgical resection at the Department of Thoracic Surgery of Affiliated Hospital of Qingdao University between July 2009 and April 2011 were enrolled in this study. There were 32 male and 25 female patients with their age of 43-74 (60.6±8.9) years. The expressions of CUGBP1 mRNA and protein in tumor and adjacent normal tissues were detected by semi-quantitative RT-PCR and immunohistochemistry. All the patients were followed up every 2 months after discharge via the phone. Time to progression(TTP) was used to evaluate the relationship between CUGBP1 mRNA, clinicopathological variables and prognosis. The percentage of CUGBP1 mRNA and CUGBP1 expression was correlated with clinical characteristics using χ2 test. The prognostic significance of CUGBP1 mRNA was assessed by univariate and multivariate analysis using Cox regression analysis. ResultsThe expressions of CUGBP1 mRNA and CUGBP1 were over-expressed in cancer tissue, and were significantly correlated with TNM-stage and differentiation. Univariate and multivariate analysis showed that CUGBP1 mRNA expression(P=0.0074, HR=3.701, 95% CI 1.420-9.648), TNM-stage (P < 0.000 1, HR=4.043, 95% CI 2.098-7.794) and age (P=0.0018, HR=3.207, 95% CI 1.544-6.664) were independent predictors of postsurgical survival in NSCLC patients. ConclusionsCUGBP1 mRNA and CUGBP1 are over-expressed in NSCLC, and over-expression of CUGBP1 mRNA independently predicts a shorter postsurgical survival in NSCLC patients.
ObjectiveTo explore the association of pretreatment hyponatremia with clinicopathological and prognostic characteristics of non-small cell lung cancer (NSCLC) patients. MethodsThe PubMed, EMbase, Web of Science, VIP, CNKI and WanFang databases were searched from the inception to July 12, 2021 for relevant literatures. The quality of included studies was assessed by the Newcastle-Ottawa Scale (NOS) score. The relative risk (RR) and hazard ratio (HR) with 95% confidence interval (CI) were combined to assess the relationship between pretreatment hyponatremia and clinicopathological and prognostic characteristics. The prognostic indicators included the overall survival (OS) and progression-free survival (PFS). All statistical analysis was conducted by the STATA 15.0 software. ResultsA total of 10 high-quality studies (NOS score≥6 points) involving 10 045 patients were enrolled and all participants were from Asian or European regions. The pooled results demonstrated that male [RR=1.18, 95%CI (1.02, 1.36), P=0.026], non-adenocarcinoma [RR=0.86, 95%CI (0.81, 0.91), P＜0.001] and TNM Ⅲ-Ⅳ stage [RR=1.17, 95%CI (1.12, 1.21), P＜0.001] patients were more likely to experience hyponatremia. Besides, pretreatment hyponatremia was significantly related to worse OS [HR=1.83, 95%CI (1.53, 2.19), P＜0.001] and PFS [HR=1.54, 95%CI (1.02, 2.34), P=0.040]. Pretreatment hyponatremia was a risk factor for poor prognosis of NSCLC patients. ConclusionMale, non-adenocarcinoma and advance stage NSCLC patients are more likely to experience hyponatremia. Meanwhile, the pretreatment sodium level can be applied as one of the prognostic evaluation indicators in NSCLC and patients with hyponatremia are more likely to have poor survival. However, more researches are still needed to verify above findings.
With the publication of several phase Ⅱ and Ⅲ clinical studies, the multidisciplinary diagnostic and therapeutic strategies for early resectable non-small cell lung cancer (rNSCLC) are rapidly evolving. These studies have elucidated the significant effects of neoadjuvant and adjuvant therapies on improving the prognosis of rNSCLC patients, while also highlighting the urgent need to revise and refine corresponding treatment protocols and clinical pathways. In response, the International Association for the Study of Lung Cancer has assembled a diverse, multidisciplinary international expert panel to evaluate current clinical trials related to rNSCLC and to provide diagnostic, staging, and treatment recommendations for rNSCLC patients in accordance with the 8th edition of the AJCC-UICC staging system. The consensus recommendations titled "Neoadjuvant and adjuvant treatments for early stage resectable non-small cell lung cancer: Consensus recommendations from the International Associationfor the Study of Lung Cancer" outline 20 recommendations, 19 of which received over 85% agreement from the experts. The recommendations indicate that early rNSCLC patients should undergo evaluation by a multidisciplinary team and complete necessary imaging studies. For stage Ⅱ patients, consideration should be given to either adjuvant therapy following surgery or direct neoadjuvant/perioperative treatment, while stage Ⅲ patients are recommended to receive neoadjuvant chemoimmunotherapy followed by surgery. Postoperatively, adjuvant immunotherapy should be considered based on the expression levels of programmed cell death ligand 1, along with testing for other oncogenic driver mutations. For patients with epidermal growth factor receptor or anaplastic lymphoma kinase mutations sensitive to tyrosine kinase inhibitors, corresponding adjuvant targeted therapy is recommended. These recommendations aim to provide personalized and precise treatment strategies for early rNSCLC patients to enhance the efficacy of neoadjuvant and adjuvant therapies. This article provides an in-depth interpretation of these consensus recommendations.
Lung cancer is one of the most common malignant tumors in the world, and also one of the most common malignant tumors with the highest incidence, highest mortality, the fastest growth rate and the worst prognosis. Therefore, a deeper understanding of the disease is urgently needed in order to establish new diagnostic and therapeutic approaches. Exosomes, a kind of extracellular vesicles secreted by cells, can deliver various bioactive molecules, such as proteins, mRNA, mircoRNA, lipids, etc, and their potential value in the diagnosis, treatment and prognosis of lung cancer has been supported by a large number of literatures. In this review, we reviewed the role of exosomes in the of development, early diagnosis, treatment and prognosis of non-small cell lung cancer.