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Published on: July 20, 2019
A Comprehensive Search of Non-Canonical Proteins in Non-Small Cell Lung Cancer and Their Impact on the Immune
Ehsan Irajizad1,2, Johannes F Fahrmann1, James P Long2
1Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.
Abstract:
There is substantial interest in mining neoantigens for cancer applications. Non-canonical proteins resulting from frameshift mutations have been identified as neoantigens in cancer. We investigated the landscape of non-canonical proteins in non-small cell lung cancer (NSCLC) and their induced immune response in the form of autoantibodies. A database of cryptoproteins was computationally constructed and comprised all alternate open reading frames (altORFs) and ORFs identified in pseudogenes, noncoding RNAs, and untranslated regions of mRNAs that did not align with known canonical proteins. Proteomic profiles of seventeen lung adenocarcinoma (LUAD) cell lines were searched to evaluate the occurrence of cryptoproteins. To assess the immunogenicity, immunoglobulin (Ig)-bound cryptoproteins in plasmas were profiled by mass spectrometry. The specimen set consisted of plasmas from 30 newly diagnosed NSCLC cases, pre-diagnostic plasmas from 51 NSCLC cases, and 102 control plasmas. An analysis of LUAD cell lines identified 420 cryptoproteins. Plasma Ig-bound analyses revealed 90 cryptoproteins uniquely found in cases and 14 cryptoproteins that had a fold-change >2 compared to controls. In pre-diagnostic samples, 17 Ig-bound cryptoproteins yielded an odds ratio ≥2. Eight Ig-bound cryptoproteins were elevated in both pre-diagnostic and newly diagnosed cases compared to controls. Cryptoproteins represent a class of neoantigens that induce an autoantibody response in NSCLC.
Insights
Researchers identified novel cancer neoantigens called cryptoproteins in non-small cell lung cancer (NSCLC). These cryptoproteins trigger an autoantibody immune response, offering potential new avenues for cancer detection and therapy.
Area of Science:
- Oncology
- Immunology
- Proteomics
- Bioinformatics
Background:
- Non-canonical proteins from mutations are recognized as cancer neoantigens.
- Understanding novel neoantigens in non-small cell lung cancer (NSCLC) is crucial for therapeutic development.
- Autoantibodies against tumor-specific antigens can serve as early diagnostic biomarkers.
Purpose of the Study:
- To investigate the landscape of non-canonical proteins, termed cryptoproteins, in non-small cell lung cancer (NSCLC).
- To evaluate the immune response, specifically autoantibody induction, against these cryptoproteins.
- To assess the potential of cryptoproteins as diagnostic biomarkers for NSCLC.
Main Methods:
- Computational construction of a cryptoprotein database including alternate open reading frames (altORFs) and ORFs from non-canonical genomic regions.
- Proteomic profiling of seventeen lung adenocarcinoma (LUAD) cell lines to identify cryptoprotein occurrence.
- Mass spectrometry-based profiling of immunoglobulin (Ig)-bound cryptoproteins in plasma from NSCLC cases (newly diagnosed and pre-diagnostic) and controls.
Main Results:
- Identification of 420 cryptoproteins in LUAD cell lines.
- Discovery of 90 cryptoproteins uniquely present in NSCLC cases and 14 with a fold-change >2 compared to controls in plasma Ig-bound analyses.
- Detection of 17 Ig-bound cryptoproteins with an odds ratio ≥2 in pre-diagnostic samples, with 8 elevated in both pre-diagnostic and newly diagnosed cases.
Conclusions:
- Cryptoproteins represent a novel class of neoantigens in non-small cell lung cancer.
- These cryptoproteins elicit a specific autoantibody immune response in NSCLC patients.
- The identified cryptoproteins hold potential as early diagnostic biomarkers for NSCLC.
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