Coexpression of c-Met and Notch-1 correlates with poor prognosis in resected non-small-cell lung cancer

Different Expression Levels of DLK2 Inhibit NOTCH Signaling and Inversely Modulate MDA-MB-231 Breast Cancer Tumor Growth In Vivo

NOTCH signaling is implicated in the development of breast cancer tumors. DLK2, a non-canonical inhibitor of NOTCH signaling, was previously shown to be involved in skin and breast cancer. In this work, we studied whether different levels of DLK2 expression influenced the breast cancer characteristics of MDA-MB-231 cells. We found that DLK2 overexpression inhibited NOTCH activation in a dose-dependent manner. Moreover, depending on the level of inhibition of NOTCH1 activation generated by different levels of DLK2 expression, cell proliferation, cell cycle dynamics, cell apoptosis, cell migration, and tumor growth in vivo were affected in opposite directions. Low levels of DLK2 expression produced a slight inhibition of NOTCH1 activation, and enhanced MDA-MB-231 cell invasion in vitro and cell proliferation both in vitro and in vivo. In contrast, MDA-MB-231 cells expressing elevated levels of DLK2 showed a strong inhibition of NOTCH1 activation, decreased cell proliferation, increased cell apoptosis, and were unable to generate tumors in vivo. In addition, DLK2 expression levels also affected some members of other cell signaling pathways implicated in cancer, such as ERK1/2 MAPK, AKT, and rpS6 kinases. Our data support an important role of DLK2 as a protein that can finely regulate NOTCH signaling and affect the tumor properties and growth dynamics of MDA-MB-231 breast cancer cells.

KRAS and MET in non-small-cell lung cancer: two of the new kids on the 'drivers' block

Non-small-cell lung cancer (NSCLC) is a heterogeneous disease, and therapeutic management has advanced to identify various critical oncogenic mutations that promote lung cancer tumorigenesis. Subsequent studies have developed targeted therapies against these oncogenes in the hope of personalized treatment based on the tumor's molecular genomics. This review presents a comprehensive review of the biology, new therapeutic interventions, and resistance patterns of two well-defined subgroups, tumors with KRAS and MET alterations. We also discuss the status of molecular testing practices for these two key oncogenic drivers, considering the progressive introduction of next-generation sequencing (NGS) and RNA sequencing in regular clinical practice.

The Prognostic Role of MET Protein Expression Among Surgically Resected Non-small Cell Lung Cancer Patients: A Meta-Analysis

Objectives: MET protein expression has been reported to be in relevance with the survival of NSCLC patients in various studies, yet the results were inconsistent. The purpose of our study set out to determine the prognostic role of both c-MET and p-MET expression among NSCLC that underwent surgical resection.

Methods: Data were obtained from retrospective cohort studies by searching on PubMed, Cochrane Library, EMBASE and Web of Science, and a meta-analysis was performed to assess the prognostic role of MET expression among NSCLC.

Results: Totally 18 literatures including 5,572 surgically resected NSCLC cases staged I-IV were included for data synthesis. The positive rate of c-MET and p-MET was 1,753/4,315 and 135/1,257. The pooled hazard ratios (HRs) regarding c-MET and p-MET expression for overall survival (OS) was 1.623 (95% CI: 1.176–2.240, p = 0.003) and 1.710 (95% CI: 0.823–3.533, p = 0.15), respectively. Subgroup analysis results on Asian (HR = 2.115, p < 0.001), adenocarcinoma (HR = 2.220, p < 0.001) and rabbit polyclonal antibodies (HR = 2.107, p < 0.001) etc. were also indicative.

Conclusion: C-MET over-expression among NSCLC patients that underwent surgical resection is a prognostic factor that indicated adverse survival on OS. Whereas, p-met didn't appear to have an impact on the prognosis of NSCLC. The studies are need and the topic could be re-valued by then.

Effects of the Notch1 signaling pathway on human lung cancer A549 cells

PURPOSE

To evaluate the effects of the Notch1 signaling pathway on human lung cancer A549 cells.

MATERIALS AND METHODS

A549 cells were transfected with recombinant plasmids. Cell proliferation was detected by MTT assay. A tumor-bearing mouse model was established for intratumoral gene injection. Apoptosis-related factors were detected by immunohistochemical assay. Caspase-8, caspase-3, caspase-9, PI3K, pAkt and pSTAT3 expressions were detected by Western blotting.

RESULTS

Compared with A549-GFP and A549 cells, A549-ICN cell growth in mice decelerated, tumor volume significantly reduced (p < 0.01), and survival time significantly increased (p < 0.05). Cyclin E and phosphorylated Rb protein expressions were significantly down-regulated. Compared with control, apoptosis-related protein Bcl-2 expression in tumors injected with Notch1 gene was significantly inhibited. After Deltex1 transfection, A549 cell proliferation decelerated, growth was significantly inhibited (p < 0.05), and survival time was significantly extended (p < 0.05). Cyclin E and mutant p53 protein expressions in tumors were down-regulated, phosphorylated Rb expression was almost completely inhibited, and Bcl-2 expression was significantly inhibited. TNF-α-related apoptosis-inducing ligand (TRAIL) inhibited A549-ICN cell growth time- and dose-dependently. After treatment for 24 h or longer, TRAIL induced apoptosis of more A549-ICN cells. Cleaved caspase-3 and cleaved caspase-9 were detected only in A549-ICN cells after 6 h of 40 ng/mL TRAIL treatment, but cleaved caspase-8 was not detected. Combining Notch1 signal with TRAIL inhibited PI3K, phosphorylated Akt and phosphorylated STAT3 expressions.

CONCLUSION

The Notch1 signaling pathway may inhibit A549 cell growth in vitro and in vivo by regulating cell cycle-related and anti-apoptotic protein expressions. Notch1 activation also suppressed A549 cell apoptosis by inhibiting the PI3K/pAkt pathway and activating the caspase-3 pathway in cooperation with TRAIL.

Tyrosine Kinase Receptor Landscape in Lung Cancer: Therapeutical Implications

Lung cancer is a heterogeneous disease responsible for the most cases of cancer-related deaths. The majority of patients are clinically diagnosed at advanced stages, with a poor survival rate. For this reason, the identification of oncodrivers and novel biomarkers is decisive for the future clinical management of this pathology. The rise of high throughput technologies popularly referred to as “omics” has accelerated the discovery of new biomarkers and drivers for this pathology. Within them, tyrosine kinase receptors (TKRs) have proven to be of importance as diagnostic, prognostic, and predictive tools and, due to their molecular nature, as therapeutic targets. Along this review, the role of TKRs in the different lung cancer histologies, research on improvement of anti-TKR therapy, and the current approaches to manage anti-TKR resistance will be discussed.

Clinicopathological significance and concordance analysis of c-MET immunohistochemistry in non-small cell lung cancers: A meta-analysis

OBJECTIVE

The aim of this study was to investigate the clinicopathological significance and concordance rate of c-MET immunohistochemistry (IHC) in non-small cell lung cancer (NSCLC) through meta-analysis and diagnostic test accuracy review.

METHODS

The current study included 4454 NSCLC cases of 22 eligible studies. The meta-analysis examined the correlation between c-MET IHC expression and clinicopathological parameters. We investigated concordance rate between c-MET IHC and genetic alteration and performed subgroup analysis based on c-MET IHC cut-off value.

RESULTS

The estimated positive rate of c-MET IHC was 0.440 (95% confidence interval [CI] 0.355-0.529). The positive rate of c-MET IHC was significantly high in non-squamous cell carcinomas and tumors with stage III-IV. However, there was no significant difference between c-MET IHC positivity and sex, smoking, and lymph node metastasis. The c-MET IHC positivity was significantly correlated with poor overall survival (hazard ratio 1.551, 95% CI 1.101-2.184). In c-MET IHC-positive and negative groups, the concordance rate was 0.941 (95% CI 0.885-0.971) and 0.300 (95% CI 0.196-0.429), respectively. The pooled sensitivity and specificity of the high cut-off subgroup for c-MET IHC was 1.00 (95% CI 0.92-1.00) and 0.78 (95% CI 0.75-0.81), respectively. The diagnostic odds ratio and the area under curve on summary receiver operating characteristic curve were 76.56 (95% CI 8.23-712.41) and 0.9949, respectively.

CONCLUSION

The c-MET IHC could be useful for screening of c-MET genetic alteration in NSCLC patients. Detailed criteria for c-MET IHC evaluation are necessary to determine how to best apply this approach in daily practice.

Notch Signaling Components: Diverging Prognostic Indicators in Lung Adenocarcinoma

Non-small-cell lung cancer (NSCLC) is a lethal and aggressive malignancy. Currently, the identities of prognostic and predictive makers of NSCLC have not been fully established. Dysregulated Notch signaling has been implicated in many human malignancies, including NSCLC. However, the prognostic value of measuring Notch signaling and the utility of developing Notch-targeted therapies in NSCLC remain inconclusive. The present study investigated the association of individual Notch receptor and ligand levels with lung adenocarcinoma (ADC) and squamous cell carcinoma (SCC) prognosis using the Kaplan-Meier plotte database. This online database encompasses 2437 lung cancer samples. Hazard ratios with 95% confidence intervals were calculated. The results showed that higher Notch1, Notch2, JAG1, and DLL1 mRNA expression predicted better overall survival (OS) in lung ADC, but showed no significance in SCC patients. Elevated Notch3, JAG2, and DLL3 mRNA expression was associated with poor OS of ADC patients, but not in SCC patients. There was no association between Notch4 and OS in either lung ADC or SCC patients. In conclusion, the set of Notch1, Notch2, JAG1, DLL1 and that of Notch3, JAG2, DLL3 played opposing prognostic roles in lung ADC patients. Neither set of Notch receptors and ligands was indicative of lung SCC prognosis. Notch signaling could serve as promising marker to predict outcomes in lung ADC patients. The distinct features of lung cancer subtypes and Notch components should be considered when developing future Notch-targeted therapies.

Targeting Notch to overcome radiation resistance

Radiotherapy represents an important therapeutic strategy in the treatment of cancer cells. However, it often fails to eliminate all tumor cells because of the intrinsic or acquired treatment resistance, which is the most common cause of tumor recurrence. Emerging evidences suggest that the Notch signaling pathway is an important pathway mediating radiation resistance in tumor cells. Successful targeting of Notch signaling requires a thorough understanding of Notch regulation and the context-dependent interactions between Notch and other therapeutically relevant pathways. Understanding these interactions will increase our ability to design rational combination regimens that are more likely to be safe and effective. Here we summarize the role of Notch in mediating resistance to radiotherapy, the different strategies to block Notch in cancer cells and how treatment scheduling can improve tumor response. Finally, we discuss a need for reliable Notch related biomarkers in specific tumors to measure pathway activity and to allow identification of a subset of patients who are likely to benefit from Notch targeted therapies.

Prognostic value of Notch-1 expression in hepatocellular carcinoma: a meta-analysis

Association of Notch-1 expression with prognosis of patients with hepatocellular carcinoma (HCC) remains controversial. We conducted a meta-analysis to reevaluate the association of Notch-1 expression with clinicopathological characteristics and prognosis of HCC. PubMed, Embase, Web of Science, and China National Knowledge Infrastructure were searched to look for relevant studies. The association between Notch-1 expression and clinicopathological parameters and overall survival (OS) was then reassessed using the meta-analysis for odds ratio (OR) or hazard ratio (HR) and 95% confidence interval (CI). A total of seven studies, including 810 HCC patients, were eligible for the meta-analysis. Our data showed that high Notch-1 expression was able to predict poor OS (HR 1.50, 95% CI 1.17–1.83, P=0.0001). The pooled OR showed that high Notch-1 expression was significantly associated with tumor metastasis (OR 0.37, 95% CI 0.16–0.86, P=0.02) and tumor size >5 cm (OR 0.48, 95% CI 0.26–0.88, P=0.02). In contrast, there was no association between high Notch-1 expression and tumor differentiation, late TNM stage, tumor number, and portal vein invasion of HCC. In conclusion, Notch-1 overexpression might predict poorer survival and more aggressive behavior in patients with HCC.