Abstract

Lung cancer is the leading cause of cancer deaths in the United States. Novel lung cancer targeted therapeutic and molecular imaging agents are needed to improve outcomes and enable personalized care. Since these agents typically cannot cross the plasma membrane while carrying cytotoxic payload or imaging contrast, discovery of cell-surface targets is a necessary initial step. Herein, we report the discovery and characterization of lung cancer cell-surface markers for use in development of targeted agents. To identify putative cell-surface markers, existing microarray gene expression data from patient specimens were analyzed to select markers with differential expression in lung cancer compared to normal lung. Greater than 200 putative cell-surface markers were identified as being overexpressed in lung cancers. Ten cell-surface markers (CA9, CA12, CXorf61, DSG3, FAT2, GPR87, KISS1R, LYPD3, SLC7A11 and TMPRSS4) were selected based on differential mRNA expression in lung tumors vs. non-neoplastic lung samples and other normal tissues, and other considerations involving known biology and targeting moieties. Protein expression was confirmed by immunohistochemistry (IHC) staining and scoring of patient tumor and normal tissue samples. As further validation, marker expression was determined in lung cancer cell lines using microarray data and Kaplan–Meier survival analyses were performed for each of the markers using patient clinical data. High expression for six of the markers (CA9, CA12, CXorf61, GPR87, LYPD3, and SLC7A11) was significantly associated with worse survival. These markers should be useful for the development of novel targeted imaging probes or therapeutics for use in personalized care of lung cancer patients.

Highlights

  • Lung cancer is the second leading cause of cancer and the leading cause of cancer deaths in both men and women in the United States [1, 2]

  • Targeted therapeutic agents can deliver cytotoxic payloads or inhibit pathways that are important for normal cellular functions

  • We have previously demonstrated that mRNA levels obtained from Affymetrix microarray data derived from cell lines are representative of levels obtained by quantitative realtime reverse-transcriptase polymerase chain reaction of the same cell lines [30]

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Summary

Introduction

Lung cancer is the second leading cause of cancer and the leading cause of cancer deaths in both men and women in the United States [1, 2]. The mortality rate for lung cancer has declined over the last several decades, the overall 5-year survival rate has not substantially improved over the last 30 years [1, 2]. The majority of lung cancers are diagnosed at a distant stage (57%) [1]. 16% of lung cancers are diagnosed at a localized stage, for which the 5-year survival rate is 55% [1, 2]. The five year survival rate decreases for regional and distant cancers (28% and 4%, respectively) [1, 2]. The five year survival rate is only 18% [1, 2]. There is a need for new ways to diagnose and treat this disease to improve clinical outcomes

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