Cancer-associated fibroblasts in early-stage lung adenocarcinoma correlate with tumor aggressiveness.

Lung adenocarcinoma (LUAD) is the predominant type of lung cancer in the U.S. and exhibits a broad variety of behaviors ranging from indolent to aggressive. Identification of the biological determinants of LUAD behavior at early stages can improve existing diagnostic and treatment strategies. Extracellular matrix (ECM) remodeling and cancer-associated fibroblasts play a crucial role in the regulation of cancer aggressiveness and there is a growing need to investigate their role in the determination of LUAD behavior at early stages. We analyzed tissue samples isolated from patients with LUAD at early stages and used imaging-based biomarkers to predict LUAD behavior. Single-cell RNA sequencing and histological assessment showed that aggressive LUADs are characterized by a decreased number of ADH1B+ CAFs in comparison to indolent tumors. ADH1B+ CAF enrichment is associated with distinct ECM and immune cell signatures in early-stage LUADs. Also, we found a positive correlation between the gene expression of ADH1B+ CAF markers in early-stage LUADs and better survival. We performed TCGA dataset analysis to validate our findings. Identified associations can be used for the development of the predictive model of LUAD aggressiveness and novel therapeutic approaches.

Advances in proteomic strategies toward the early detection of lung cancer.

Since the advent of the new proteomics era more than a decade ago, large-scale studies of protein profiling have been exploited to identify the distinctive molecular signatures in a wide array of biological systems spanning areas of basic biological research, various disease states, and biomarker discovery directed toward therapeutic applications. Recent advances in protein separation and identification techniques have significantly improved proteomics approaches, leading to enhancement of the depth and breadth of proteome coverage. Proteomic signatures specific for invasive lung cancer and preinvasive lesions have begun to emerge. In this review we provide a critical assessment of the state of recent advances in proteomic approaches and the biological lessons they have yielded, with specific emphasis on the discovery of biomarker signatures for the early detection of lung cancer.

Synergy between phosphatidylinositol 3-kinase/Akt pathway and Bcl-xL in the control of apoptosis in adenocarcinoma cells of the lung.

Adenocarcinomas of the lung commonly show an increase in the activity of phosphatidylinositol 3-kinase (PI3K)/Akt signaling pathway, yet many are resistant to apoptosis induced by the inhibition of PI3K. We hypothesized that Bcl-xL would have a synergistic effect on the apoptotic response induced by inhibition of the PI3K/Akt pathway in lung adenocarcinoma. To test this, we examined the effect of the PI3K inhibitor (LY294002) on lung adenocarcinoma cell lines expressing varying levels of Bcl-xL. We found that cells that overexpress Bcl-xL are resistant to LY294002-induced apoptosis, whereas cells that express little Bcl-xL readily are not. Restoring Bcl-xL expression in cells that express low level of Bcl-xL conferred resistance to apoptosis in response to LY294002. The simultaneous inhibition of the PI3K/Akt pathway by LY294002 or Akt1 small interfering RNA and Bcl-xL function by ABT-737 or Bcl-xL small interfering RNA greatly enhanced the apoptotic response. Moreover, this response was associated with the induction of proapoptotic BH3-only Bcl-2 family member Bim. Our data suggest that PI3K/Akt and Bcl-xL pathways control cell death in lung adenocarcinoma cells in a synergistic manner. Modulation of Bcl-xL expression may represent one important strategy to optimize the efficacy of therapeutic agents targeting the PI3K/Akt pathway in adenocarcinoma of the lung.

Diagnostic accuracy of MALDI mass spectrometric analysis of unfractionated serum in lung cancer.

PURPOSE: There is a critical need for improvements in the noninvasive diagnosis of lung cancer. We hypothesized that matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) analysis of the most abundant peptides in the serum may distinguish lung cancer cases from matched controls. PATIENTS AND METHODS: We used MALDI MS to analyze unfractionated serum from a total of 288 cases and matched controls split into training (n = 182) and test sets (n = 106). We used a training-testing paradigm with application of the model profile defined in a training set to a blinded test cohort. RESULTS: Reproducibility and lack of analytical bias was confirmed in quality-control studies. A serum proteomic signature of seven features in the training set reached an overall accuracy of 78%, a sensitivity of 67.4%, and a specificity of 88.9%. In the blinded test set, this signature reached an overall accuracy of 72.6 %, a sensitivity of 58%, and a specificity of 85.7%. The serum signature was associated with the diagnosis of lung cancer independently of gender, smoking status, smoking pack-years, and C-reactive protein levels. From this signature, we identified three discriminatory features as members of a cluster of truncated forms of serum amyloid A. CONCLUSIONS: We found a serum proteomic profile that discriminates lung cancer from matched controls. Proteomic analysis of unfractionated serum may have a role in the noninvasive diagnosis of lung cancer and will require methodological refinements and prospective validation to achieve clinical utility.