Proteomic techniques are currently used to understand the biology of different human diseases, including studies of the cell signaling pathways implicated in cancer progression, which is important in knowing the roles of different proteins in tumor development. Due to its poor prognosis, proteomic approaches are focused on the identification of new biomarkers for the early diagnosis, prognosis, and targeted treatment of lung cancer. Cytokines are proteins involved in inflammatory processes and have been proposed as lung cancer biomarkers and therapeutic targets because it has been reported that some cytokines play important roles in tumor development, invasion, and metastasis. In this review, we aim to summarize the different proteomic techniques used to discover new lung cancer biomarkers and therapeutic targets. Several cytokines have been identified as important players in lung cancer using these techniques. We underline the most important cytokines that are useful as biomarkers and therapeutic targets. We also summarize some of the therapeutic strategies targeted for these cytokines in lung cancer.

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Background: Fibroblast growth factor receptor (FGFR)1 and FGFR4 have been associated with tumorigenesis in a variety of tumour types. As a therapeutic approach, their inhibition has been attempted in different types of malignancies, including lung cancer, and was initially focused on FGFR1-amplified tumours, though with limited success. Methods: In vitro and in vivo functional assessments of the oncogenic potential of downregulated/overexpressed genes in isogenic cell lines were performed, as well as inhibitor efficacy tests in vitro and in vivo in patient-derived xenografts (PDXs). mRNA was extracted from FFPE non-small cell lung cancer samples to determine the prognostic potential of the genes under study. Findings: We provide in vitro and in vivo evidence showing that expression of the adhesion molecule N-cadherin is key for the oncogenic role of FGFR1/4 in non-small cell lung cancer. According to this, assessment of the expression of genes in different lung cancer patient cohorts showed that FGFR1 or FGFR4 expression alone showed no prognostic potential, and that only co-expression of FGFR1 and/or FGFR4 with N-cadherin inferred a poorer outcome. Treatment of high-FGFR1 and/or FGFR4-expressing lung cancer cell lines and patient-derived xenografts with selective FGFR inhibitors showed high efficacy, but only in models with high FGFR1/4 and N-cadherin expression. Interpretation: Our data show that the determination of the expression of FGFR1 or FGFR4 alone is not sufficient to predict anti-FGFR therapy efficacy; complementary determination of N-cadherin expression may further optimise patient selection for this therapeutic strategy.

Heat shock protein 90 (HSP90) plays an essential role in lung adenocarcinoma, acting as a key chaperone involved in the correct functioning of numerous highly relevant protein drivers of this disease. To this end, HSP90 inhibitors have emerged as promising therapeutic strategies, even though responses to them have been limited to date. Given the need to maximize treatment efficacy, the objective of this study was to use isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomic techniques to identify proteins in human lung adenocarcinoma cell lines whose basal abundances were correlated with response to HSP90 inhibitors (geldanamycin and radicicol derivatives). From the protein profiles identified according to response, the relationship between lactate dehydrogenase B (LDHB) and DNA topoisomerase 1 (TOP1) with respect to sensitivity and resistance, respectively, to geldanamycin derivatives is noteworthy. Likewise, rhotekin (RTKN) and decaprenyl diphosphate synthase subunit 2 (PDSS2) were correlated with sensitivity and resistance to radicicol derivatives. We also identified a relationship between resistance to HSP90 inhibition and the p53 pathway by glucose deprivation. In contrast, arginine biosynthesis was correlated with sensitivity to HSP90 inhibitors. Further study of these outcomes could enable the development of strategies to improve the clinical efficacy of HSP90 inhibition in patients with lung adenocarcinoma.

Heat shock protein 90 (HSP90) is an important chaperone in lung adenocarcinoma, with relevant protein drivers such as EGFR (epidermal growth factor receptor) and EML4-ALK (echinoderm microtubule-associated protein-like protein4 fused to anaplastic lymphoma kinase) depending on it for their correct function, therefore HSP90 inhibitors show promise as potential treatments for lung adenocarcinoma. To study responses to its inhibition, HSP90 was pharmacologically interrupted by geldanamycin and resorcinol derivatives or with combined inhibition of HSP90 plus HSP70 in lung adenocarcinoma cell lines. Two-dimensional electrophoresis was performed to identify proteomic profiles associated with inhibition which will help to understand the biological basis for the responses. HSP90 inhibition resulted in altered protein profiles that differed according the treatment condition studied. Results revealed 254 differentially expressed proteins after treatments, among which, eukaryotic translation initiation factor3 subunit I (eIF3i) and citrate synthase demonstrated their potential role as response biomarkers. The differentially expressed proteins also enabled signalling pathways involved in responses to be identified; these included apoptosis, serine-glycine biosynthesis and tricarboxylic acid cycle. The proteomic profiles identified here contribute to an improved understanding of HSP90 inhibition and open possibilities for the detection of potential response biomarkers which will be essential to maximize treatment efficacy in lung adenocarcinoma.

Background: Translational cancer research needs appropriated preclinical models to discover predictive biomarkers and evaluate precision therapeutic strategies. Conventional available preclinical models have proven not been optimal to this end, since cell lines based xenografts do not reconstitute the complexity of human cancer and carry acquired mutations not found in the original tumor. For these reasons our aim was generate and completely characterize a collection of non-small cell lung cancer (NSCLC) PDX models useful for translational lung cancer research. Materials and methods: Resected primary tumors from NSCLC patients were subcutaneous xenografted in athymic nude mice and expanded in successive groups of mice to get a perpetual live bank of each tumor. Every tumor, which successfully grew in mice, was analyzed by histologic and molecular techniques (NGS gene panel, exome and RNA Seq). Furthermore, a bank of frozen pieces of tumor was expanded and stored in order to generate later cohorts of tumor-bearing mice suitable for preclinical drug evaluation. Results: Our collection consists on 42 PDX models (26 SCC, 12ADC, 3LCC). We have characterized all of them histologically and molecularly with a 22 genes NGS panel. Furthermore, we have analyzed the exome and transcriptome of 33 models (20 SCC, 10 ADC and 3 LCC). All PDX models mostly retain the principal histologic and molecular characteristics of their donors and recapitulate the heterogeneity of human lung tumors. In our PDX collection we have sufficiently represented all the NSCLC histology and the most relevant molecular alterations in lung cancer in order to perform precision medicine evaluation studies. Conclusions: We have generated a collection of 42 PDX models of NSCLC characterized at the histological, genomic and transcriptomic level, which represents the most frequent histological and molecular subtypes of this type of lung cancer. This collection will be really useful to integrate drug screening with biomarker discovery and to evaluate precision therapeutic strategies. Our future aim will be to use this collection for biomarkers identification and preclinical evaluation of new therapeutic strategies targeted to bad prognostic lung tumors with suboptimal therapeutic approaches. Citation Format: Sonia Molina-Pinelo, Ricardo Melendez, Rocío Suarez, Laura García, Laura Ojeda, Nicolas Moreno, María V Guijarro, Luis Paz-Ares, Irene Ferrer. Collection of lung cancer patient-derived xenograft (PDX) models to evaluate precision therapeutic strategies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4801. doi:10.1158/1538-7445.AM2017-4801

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