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Yoo EJ, Kim JS, Stransky S, Spivack S, Sidoli S. Advances in proteomics methods for the analysis of exhaled breath condensate. MASS SPECTROMETRY REVIEWS 2024; 43:713-722. [PMID: 38149478 DOI: 10.1002/mas.21871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 12/13/2023] [Indexed: 12/28/2023]
Abstract
The analysis of exhaled breath condensate (EBC) demonstrates a promising avenue of minimally invasive biopsies for diagnostics. EBC is obtained by cooling exhaled air and collecting the condensation to be utilized for downstream analysis using various analytical methods. The aqueous phase of breath contains a large variety of miscible small compounds including polar electrolytes, amino acids, cytokines, chemokines, peptides, small proteins, metabolites, nucleic acids, and lipids/eicosanoids-however, these analytes are typically present at minuscule levels in EBC, posing a considerable technical challenge. Along with recent improvements in devices for breath collection, the sensitivity and resolution of liquid chromatography coupled to online mass spectrometry-based proteomics has attained subfemtomole sensitivity, vastly enhancing the quality of EBC sample analysis. As a result, proteomics analysis of EBC has been expanding the field of breath biomarker research. We present an au courant overview of the achievements in proteomics of EBC, the advancement of EBC collection devices, and the current and future applications for EBC biomarker analysis.
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Affiliation(s)
- Edwin J Yoo
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Julie S Kim
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Stephanie Stransky
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Simon Spivack
- Department of Medicine, Department of Epidemiology & Population Health, Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Simone Sidoli
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, New York, USA
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2
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de Biase MS, Massip F, Wei TT, Giorgi FM, Stark R, Stone A, Gladwell A, O'Reilly M, Schütte D, de Santiago I, Meyer KB, Markowetz F, Ponder BAJ, Rintoul RC, Schwarz RF. Smoking-associated gene expression alterations in nasal epithelium reveal immune impairment linked to lung cancer risk. Genome Med 2024; 16:54. [PMID: 38589970 PMCID: PMC11000304 DOI: 10.1186/s13073-024-01317-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 03/18/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Lung cancer is the leading cause of cancer-related death in the world. In contrast to many other cancers, a direct connection to modifiable lifestyle risk in the form of tobacco smoke has long been established. More than 50% of all smoking-related lung cancers occur in former smokers, 40% of which occur more than 15 years after smoking cessation. Despite extensive research, the molecular processes for persistent lung cancer risk remain unclear. We thus set out to examine whether risk stratification in the clinic and in the general population can be improved upon by the addition of genetic data and to explore the mechanisms of the persisting risk in former smokers. METHODS We analysed transcriptomic data from accessible airway tissues of 487 subjects, including healthy volunteers and clinic patients of different smoking statuses. We developed a computational model to assess smoking-associated gene expression changes and their reversibility after smoking is stopped, comparing healthy subjects to clinic patients with and without lung cancer. RESULTS We find persistent smoking-associated immune alterations to be a hallmark of the clinic patients. Integrating previous GWAS data using a transcriptional network approach, we demonstrate that the same immune- and interferon-related pathways are strongly enriched for genes linked to known genetic risk factors, demonstrating a causal relationship between immune alteration and lung cancer risk. Finally, we used accessible airway transcriptomic data to derive a non-invasive lung cancer risk classifier. CONCLUSIONS Our results provide initial evidence for germline-mediated personalized smoke injury response and risk in the general population, with potential implications for managing long-term lung cancer incidence and mortality.
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Affiliation(s)
- Maria Stella de Biase
- Berlin Institute of Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Hannoversche Strasse 28, 10115, Berlin, Germany.
| | - Florian Massip
- Berlin Institute of Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Hannoversche Strasse 28, 10115, Berlin, Germany.
- MINES Paris, PSL University, CBIO-Centre for Computational Biology, 60 bd Saint Michel, 75006, Paris, France.
- Institut Curie, Cedex, Paris, France.
- INSERM, U900, Cedex, Paris, France.
| | - Tzu-Ting Wei
- Berlin Institute of Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Hannoversche Strasse 28, 10115, Berlin, Germany
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Federico M Giorgi
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK
- Present Address: Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Rory Stark
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK
| | - Amanda Stone
- Papworth Trials Unit Collaboration, Department of Oncology, Royal Papworth Hospital NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0AY, UK
| | - Amy Gladwell
- Papworth Trials Unit Collaboration, Department of Oncology, Royal Papworth Hospital NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0AY, UK
| | - Martin O'Reilly
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK
- Present Address: MRC Toxicology Unit, Tennis Court Road, Cambridge, CB2 1QR, UK
| | - Daniel Schütte
- Institute for Computational Cancer Biology (ICCB), Center for Integrated Oncology (CIO), Cancer Research Center Cologne Essen (CCCE), Faculty of Medicine and University Hospital Cologne, University of Cologne, Am Weyertal 115C, Gebäude 74, 50931, Cologne, Germany
| | - Ines de Santiago
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK
- Present Address: e-therapeutics plc, 17 Blenheim Office Park, Long Hanborough, OX29 8LN, UK
| | - Kerstin B Meyer
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK
- Present Address: The Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Florian Markowetz
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK
| | - Bruce A J Ponder
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK.
| | - Robert C Rintoul
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0AY, UK.
- Papworth Trials Unit Collaboration, Department of Oncology, Royal Papworth Hospital NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, CB2 0AY, UK.
- Department of Oncology, Early Cancer Institute, University of Cambridge, Cambridge, CB2 0XZ, UK.
| | - Roland F Schwarz
- Berlin Institute of Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Hannoversche Strasse 28, 10115, Berlin, Germany.
- BIFOLD - Berlin Institute for the Foundations of Learning and Data, Berlin, Germany.
- Institute for Computational Cancer Biology (ICCB), Center for Integrated Oncology (CIO), Cancer Research Center Cologne Essen (CCCE), Faculty of Medicine and University Hospital Cologne, University of Cologne, Am Weyertal 115C, Gebäude 74, 50931, Cologne, Germany.
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Park JA, Pham D, Yalamanchili S, Twardus S, Suzuki K. Developing technologies and areas of interest in lung cancer screening adjuncts. J Thorac Dis 2024; 16:1552-1564. [PMID: 38505010 PMCID: PMC10944753 DOI: 10.21037/jtd-23-1326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 12/22/2023] [Indexed: 03/21/2024]
Abstract
Lung cancer remains the leading cause of cancer mortality. Screening guidelines have been implemented in the past decade to aid in earlier detection of at-risk groups. Nevertheless, computed tomography (CT) scans, the principal screening modality in use today, are still low yield, with 3.6% of lung cancer confirmed amongst 39.1% of lesions detected over a 3-year period. They also carry relatively high false positive rates, between 9% and 27%, which can bear unnecessary financial and emotional costs to patients. As such, research efforts have been dedicated to the development of lung cancer screening adjuncts to improve detection reliability. We herein review several emerging technologies in this specific arena and their efficacy. These include plasma markers (microDNA, DNA methylation, and tumor-associated antibodies), breath/sputum biomarkers [volatile organic compounds (VOCs) and exhaled breath condensate (EBC)], proteomics, metabolomics, and machine learning, such as radiomics technology. We find that, across the board, they offer promising results in terms of non-invasive diagnostics, genetic sequencing for higher-risk individuals, and accessibility for a diverse cohort of patients. While these screening adjuncts are unlikely to completely replace the current standard of care at the moment, continued research into these technologies is crucial to improve and personalize the identification, treatment, and outcome of lung cancer patients in the near future.
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Affiliation(s)
- Ju Ae Park
- Department of Surgery, Inova Fairfax Medical Campus, Falls Church, VA, USA
| | - Duy Pham
- University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Sriya Yalamanchili
- Department of Surgery, Inova Fairfax Medical Campus, Falls Church, VA, USA
| | - Shaina Twardus
- University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Kei Suzuki
- Department of Surgery, Inova Fairfax Medical Campus, Falls Church, VA, USA
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Kim RY. Radiomics and artificial intelligence for risk stratification of pulmonary nodules: Ready for primetime? Cancer Biomark 2024:CBM230360. [PMID: 38427470 PMCID: PMC11300708 DOI: 10.3233/cbm-230360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2024]
Abstract
Pulmonary nodules are ubiquitously found on computed tomography (CT) imaging either incidentally or via lung cancer screening and require careful diagnostic evaluation and management to both diagnose malignancy when present and avoid unnecessary biopsy of benign lesions. To engage in this complex decision-making, clinicians must first risk stratify pulmonary nodules to determine what the best course of action should be. Recent developments in imaging technology, computer processing power, and artificial intelligence algorithms have yielded radiomics-based computer-aided diagnosis tools that use CT imaging data including features invisible to the naked human eye to predict pulmonary nodule malignancy risk and are designed to be used as a supplement to routine clinical risk assessment. These tools vary widely in their algorithm construction, internal and external validation populations, intended-use populations, and commercial availability. While several clinical validation studies have been published, robust clinical utility and clinical effectiveness data are not yet currently available. However, there is reason for optimism as ongoing and future studies aim to target this knowledge gap, in the hopes of improving the diagnostic process for patients with pulmonary nodules.
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Non-Invasive Biomarkers for Early Lung Cancer Detection. Cancers (Basel) 2022; 14:cancers14235782. [PMID: 36497263 PMCID: PMC9739091 DOI: 10.3390/cancers14235782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 07/18/2022] [Accepted: 07/20/2022] [Indexed: 11/27/2022] Open
Abstract
Worldwide, lung cancer (LC) is the most common cause of cancer death, and any delay in the detection of new and relapsed disease serves as a major factor for a significant proportion of LC morbidity and mortality. Though invasive methods such as tissue biopsy are considered the gold standard for diagnosis and disease monitoring, they have several limitations. Therefore, there is an urgent need to identify and validate non-invasive biomarkers for the early diagnosis, prognosis, and treatment of lung cancer for improved patient management. Despite recent progress in the identification of non-invasive biomarkers, currently, there is a shortage of reliable and accessible biomarkers demonstrating high sensitivity and specificity for LC detection. In this review, we aim to cover the latest developments in the field, including the utility of biomarkers that are currently used in LC screening and diagnosis. We comment on their limitations and summarise the findings and developmental stages of potential molecular contenders such as microRNAs, circulating tumour DNA, and methylation markers. Furthermore, we summarise research challenges in the development of biomarkers used for screening purposes and the potential clinical applications of newly discovered biomarkers.
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Xu K, Shi X, Husted C, Hong R, Wang Y, Ning B, Sullivan TB, Rieger-Christ KM, Duan F, Marques H, Gower AC, Xiao X, Liu H, Liu G, Duclos G, Platt M, Spira AE, Mazzilli SA, Billatos E, Lenburg ME, Campbell JD, Beane JE. Smoking modulates different secretory subpopulations expressing SARS-CoV-2 entry genes in the nasal and bronchial airways. Sci Rep 2022; 12:18168. [PMID: 36307504 PMCID: PMC9615627 DOI: 10.1038/s41598-022-17832-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 08/01/2022] [Indexed: 12/31/2022] Open
Abstract
SARS-CoV-2 infection and disease severity are influenced by viral entry (VE) gene expression patterns in the airway epithelium. The similarities and differences of VE gene expression (ACE2, TMPRSS2, and CTSL) across nasal and bronchial compartments have not been fully characterized using matched samples from large cohorts. Gene expression data from 793 nasal and 1673 bronchial brushes obtained from individuals participating in lung cancer screening or diagnostic workup revealed that smoking status (current versus former) was the only clinical factor significantly and reproducibly associated with VE gene expression. The expression of ACE2 and TMPRSS2 was higher in smokers in the bronchus but not in the nose. scRNA-seq of nasal brushings indicated that ACE2 co-expressed genes were highly expressed in club and C15orf48+ secretory cells while TMPRSS2 co-expressed genes were highly expressed in keratinizing epithelial cells. In contrast, these ACE2 and TMPRSS2 modules were highly expressed in goblet cells in scRNA-seq from bronchial brushings. Cell-type deconvolution of the gene expression data confirmed that smoking increased the abundance of several secretory cell populations in the bronchus, but only goblet cells in the nose. The association of ACE2 and TMPRSS2 with smoking in the bronchus is due to their high expression in goblet cells which increase in abundance in current smoker airways. In contrast, in the nose, these genes are not predominantly expressed in cell populations modulated by smoking. In individuals with elevated lung cancer risk, smoking-induced VE gene expression changes in the nose likely have minimal impact on SARS-CoV-2 infection, but in the bronchus, smoking may lead to higher viral loads and more severe disease.
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Affiliation(s)
- Ke Xu
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Xingyi Shi
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Christopher Husted
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Rui Hong
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Yichen Wang
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Boting Ning
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Travis B Sullivan
- Department of Translational Research, Lahey Hospital & Medical Center, Burlington, MA, USA
| | - Kimberly M Rieger-Christ
- Department of Translational Research, Lahey Hospital & Medical Center, Burlington, MA, USA
- Department of Urology, Lahey Hospital & Medical Center, Burlington, MA, USA
| | - Fenghai Duan
- Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI, USA
| | - Helga Marques
- Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI, USA
| | - Adam C Gower
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Xiaohui Xiao
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Hanqiao Liu
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Gang Liu
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Grant Duclos
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Michael Platt
- Department of Otolaryngology-Head & Neck Surgery, Boston University School of Medicine, Boston, MA, USA
| | - Avrum E Spira
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
- Lung Cancer Initiative at Johnson & Johnson, New Brunswick, NJ, USA
| | - Sarah A Mazzilli
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Ehab Billatos
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Marc E Lenburg
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA
| | - Joshua D Campbell
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA.
| | - Jennifer E Beane
- Department of Medicine, Boston University School of Medicine, 72 E Concord St, Boston, MA, USA.
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Qureshi N, Chi J, Qian Y, Huang Q, Duan S. Looking for the Genes Related to Lung Cancer From Nasal Epithelial Cells by Network and Pathway Analysis. Front Genet 2022; 13:942864. [PMID: 35923697 PMCID: PMC9340151 DOI: 10.3389/fgene.2022.942864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 06/13/2022] [Indexed: 12/05/2022] Open
Abstract
Previous studies have indicated that the airway epithelia of lung cancer-associated injury can extend to the nose and it was associated with abnormal gene expression. The aim of this study was to find the possible lung cancer-related genes from the nasal epithelium as bio-markers for lung cancer detection. WGCNA was performed to calculate the module-trait correlations of lung cancer based on the public microarray dataset, and their data were processed by statistics of RMA and t-test. Four specific modules associated with clinical features of lung cancer were constructed, including blue, brown, yellow, and light blue. Of which blue or brown module showed strong connection to genetic connectivity. From the brown module, it was found that HCK, NCF1, TLR8, EMR3, CSF2RB, and DYSF are the hub genes, and from the blue module, it was found that SPEF2, ANKFN1, HYDIN, DNAH5, C12orf55, and CCDC113 are the pivotal genes corresponding to the grade. These genes can be taken as the bio-markers to develop a noninvasive method of diagnosing early lung cancer.
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Affiliation(s)
| | | | | | | | - Shaoyin Duan
- Department of Medical Imaging, Zhongshan Hospital, School of Medicine, Xiamen University, Xiamen, China
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Garland LL, Guillen-Rodriguez J, Hsu CH, Davis LE, Szabo E, Husted CR, Liu H, LeClerc A, Alekseyev YO, Liu G, Bauman JE, Spira AE, Beane J, Wojtowicz M, Chow HHS. Clinical Study of Aspirin and Zileuton on Biomarkers of Tobacco-Related Carcinogenesis in Current Smokers. Cancers (Basel) 2022; 14:2893. [PMID: 35740559 PMCID: PMC9221101 DOI: 10.3390/cancers14122893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/24/2022] [Accepted: 05/25/2022] [Indexed: 12/04/2022] Open
Abstract
The chemopreventive effect of aspirin and other non-steroidal anti-inflammatory drugs (NSAIDs) on lung cancer risk is supported by epidemiologic and preclinical studies. Zileuton, a 5-lipoxygenase inhibitor, has additive activity with NSAIDs against tobacco carcinogenesis in preclinical models. We hypothesized that cyclooxygenase plus 5-lipoxygenase inhibition would be more effective than a placebo in modulating the nasal epithelium gene signatures of tobacco exposure and lung cancer. We conducted a randomized, double-blinded study of low-dose aspirin plus zileuton vs. double placebo in current smokers to compare the modulating effects on nasal gene expression and arachidonic acid metabolism. In total, 63 participants took aspirin 81 mg daily plus zileuton (Zyflo CR) 600 mg BID or the placebo for 12 weeks. Nasal brushes from the baseline, end-of-intervention, and one-week post intervention were profiled via microarray. Aspirin plus zilueton had minimal effects on the modulation of the nasal or bronchial gene expression signatures of smoking, lung cancer, and COPD but favorably modulated a bronchial gene expression signature of squamous dysplasia. Aspirin plus zileuton suppressed urinary leukotriene but not prostaglandin E2, suggesting shunting through the cyclooxygenase pathway when combined with 5-lipoxygenase inhibition. Continued investigation of leukotriene inhibitors is needed to confirm these findings, understand the long-term effects on the airway epithelium, and identify the safest, optimally dosed agents.
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Affiliation(s)
- Linda L. Garland
- Department of Medicine, University of Arizona, Tucson, AZ 85724, USA;
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ 85724, USA; (J.G.-R.); (C.-H.H.); (H.-H.S.C.)
| | - José Guillen-Rodriguez
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ 85724, USA; (J.G.-R.); (C.-H.H.); (H.-H.S.C.)
| | - Chiu-Hsieh Hsu
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ 85724, USA; (J.G.-R.); (C.-H.H.); (H.-H.S.C.)
| | - Lisa E. Davis
- College of Pharmacy, University of Arizona, Tucson, AZ 85721, USA;
| | - Eva Szabo
- Division of Cancer Prevention, National Cancer Institute, Bethesa, MD 20892, USA; (E.S.); (M.W.)
| | - Christopher R. Husted
- Section of Computational Biomedicine, Department of Medicine, School of Medicine, Boston University, Boston, MA 02118, USA; (C.R.H.); (H.L.); (G.L.); (A.E.S.); (J.B.)
| | - Hanqiao Liu
- Section of Computational Biomedicine, Department of Medicine, School of Medicine, Boston University, Boston, MA 02118, USA; (C.R.H.); (H.L.); (G.L.); (A.E.S.); (J.B.)
| | - Ashley LeClerc
- Department of Pathology and Laboratory Medicine, School of Medicine, Boston University, Boston, MA 02118, USA; (A.L.); (Y.O.A.)
| | - Yuriy O. Alekseyev
- Department of Pathology and Laboratory Medicine, School of Medicine, Boston University, Boston, MA 02118, USA; (A.L.); (Y.O.A.)
| | - Gang Liu
- Section of Computational Biomedicine, Department of Medicine, School of Medicine, Boston University, Boston, MA 02118, USA; (C.R.H.); (H.L.); (G.L.); (A.E.S.); (J.B.)
| | - Julie E. Bauman
- Department of Medicine, University of Arizona, Tucson, AZ 85724, USA;
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ 85724, USA; (J.G.-R.); (C.-H.H.); (H.-H.S.C.)
- Division of Hematology/Oncology, Department of Medicine, George Washington (GW) University and GW Cancer Center, Washington, DC 20037, USA
| | - Avrum E. Spira
- Section of Computational Biomedicine, Department of Medicine, School of Medicine, Boston University, Boston, MA 02118, USA; (C.R.H.); (H.L.); (G.L.); (A.E.S.); (J.B.)
| | - Jennifer Beane
- Section of Computational Biomedicine, Department of Medicine, School of Medicine, Boston University, Boston, MA 02118, USA; (C.R.H.); (H.L.); (G.L.); (A.E.S.); (J.B.)
| | - Malgorzata Wojtowicz
- Division of Cancer Prevention, National Cancer Institute, Bethesa, MD 20892, USA; (E.S.); (M.W.)
| | - H.-H. Sherry Chow
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ 85724, USA; (J.G.-R.); (C.-H.H.); (H.-H.S.C.)
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Ni L, Sun P, Fan X, Li Z, Ren H, Li J. Berberine Inhibits FOXM1 Dependent Transcriptional Regulation of POLE2 and Interferes With the Survival of Lung Adenocarcinoma. Front Pharmacol 2022; 12:775514. [PMID: 35173608 PMCID: PMC8842794 DOI: 10.3389/fphar.2021.775514] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 12/28/2021] [Indexed: 12/28/2022] Open
Abstract
Background: Berberine is one of the most interesting and promising natural anticancer drugs. POLE2 is involved in many cellular functions such as DNA replication and is highly expressed in a variety of cancers. However, the specific molecular mechanism of berberine interfering with POLE2 expression in lung adenocarcinoma (LUAD) is still unknown to a great extent. Method: The KEGG database (Release 91.0) and Gene Ontology (GO) category database were used for functional annotation of differentially expressed genes after berberine treatment. Reproducibility assessment using TCGA dataset. The biological functions of berberine in LUAD were investigated by a series of in vitro and in vivo experiments: MTT, colony formation, mouse xenograft and plasmid transfection. The molecular mechanisms of berberine were demonstrated by plasmid transfection, quantitative RT-PCR and Western blotting. Result: The elevated expression of FOXM1 and the high enrichment of DNA replication pathway were confirmed in LUAD by microarray and TCGA analysis, and were positively correlated with poor prognosis. Functionally, berberine inhibited the proliferation and survival of LUAD cell lines in vitro and in vivo. Mechanistically, berberine treatment down regulated the expression of FOXM1which closely related to survival, survival related genes in Cell cycle and DNA replication pathway, and significantly down regulated the expression of survival related POLE2. Interestingly, we found that the transcription factor FOXM1 could act as a bridge between berberine and POLE2. Conclusion: Berberine significantly inhibited LUAD progression via the FOXM1/POLE2, and FOXM1/POLE2 may act as a clinical prognostic factor and a therapeutic target for LUAD. Berberine may be used as a promising therapeutic candidate for LUAD patients.
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Affiliation(s)
- Lulu Ni
- Department of Basic Medicine, Jiangnan University, Wuxi, China
| | - Ping Sun
- Department of Pathology, The Affiliated Wuxi NO. 2 People's Hospital of Nanjing Medical University, Wuxi, China
| | - Xiaochun Fan
- Department of Emergency, The Affiliated Wuxi NO. 2 People's Hospital of Nanjing Medical University, Wuxi, China
| | - Zhongjie Li
- Department of Basic Medicine, Jiangnan University, Wuxi, China
| | - Hongli Ren
- Institute of Science, Technology and Humanities, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jiangan Li
- Department of Emergency, The Affiliated Wuxi NO. 2 People's Hospital of Nanjing Medical University, Wuxi, China
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Maoz A, Merenstein C, Koga Y, Potter A, Gower AC, Liu G, Zhang S, Liu H, Stevenson C, Spira A, Reid ME, Campbell JD, Mazzilli SA, Lenburg ME, Beane J. Elevated T cell repertoire diversity is associated with progression of lung squamous cell premalignant lesions. J Immunother Cancer 2021; 9:jitc-2021-002647. [PMID: 34580161 PMCID: PMC8477334 DOI: 10.1136/jitc-2021-002647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/03/2021] [Indexed: 11/21/2022] Open
Abstract
Objective The immune response to invasive carcinoma has been the focus of published work, but little is known about the adaptive immune response to bronchial premalignant lesions (PMLs), precursors of lung squamous cell carcinoma. This study was designed to characterize the T cell receptor (TCR) repertoire in PMLs and its association with clinical, pathological, and molecular features. Methods Endobronchial biopsies (n=295) and brushings (n=137) from high-risk subjects (n=50), undergoing lung cancer screening at approximately 1-year intervals via autofluorescence bronchoscopy and CT, were profiled by RNA-seq. We applied the TCR Repertoire Utilities for Solid Tissue/Tumor tool to the RNA-seq data to identify TCR CDR3 sequences across all samples. In the biopsies, we measured the correlation of TCR diversity with previously derived immune-associated PML transcriptional signatures and PML outcome. We also quantified the spatial and temporal distribution of shared and clonally expanded TCRs. Using the biopsies and brushes, the ratio of private (ie, found in one patient only) and public (ie, found in two or more patients) TCRs was quantified, and the CDR3 sequences were compared with those found in curated databases with known antigen specificities. Results We detected 39,303 unique TCR sequences across all samples. In PML biopsies, TCR diversity was negatively associated with a transcriptional signature of T cell mediated immune activation (p=4e-4) associated with PML outcome. Additionally, in lesions of the proliferative molecular subtype, TCR diversity was decreased in regressive versus progressive/persistent PMLs (p=0.045). Within each patient, TCRs were more likely to be shared between biopsies sampled at the same timepoint than biopsies sampled at the same anatomic location at different times. Clonally expanded TCRs, within a biopsied lesion, were more likely to be expanded at future time points than non-expanded clones. The majority of TCR sequences were found in a single sample, with only 3396 (8.6%) found in more than one sample and 1057 (2.7%) found in two or more patients (ie, public); however, when compared with a public database of CDR3 sequences, 4543 (11.6%) of TCRs were identified as public. TCRs with known antigen specificities were enriched among public TCRs (p<0.001). Conclusions Decreased TCR diversity may reflect nascent immune responses that contribute to PML elimination. Further studies are needed to explore the potential for immunoprevention of PMLs.
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Affiliation(s)
- Asaf Maoz
- Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.,Boston Medical Center, Boston, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Carter Merenstein
- Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.,Department of Microbiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Yusuke Koga
- Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
| | - Austin Potter
- Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
| | - Adam C Gower
- Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
| | - Gang Liu
- Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
| | - Sherry Zhang
- Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
| | - Hanqiao Liu
- Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Avrum Spira
- Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA.,The Lung Cancer Initiative at Johnson and Johnson, Cambridge, Massachusetts, USA
| | - Mary E Reid
- Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Joshua D Campbell
- Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
| | - Sarah A Mazzilli
- Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
| | - Marc E Lenburg
- Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
| | - Jennifer Beane
- Department of Medicine, Secion of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
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11
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Luo R, Zhuo Y, Du Q, Xiao R. POU2F2 promotes the proliferation and motility of lung cancer cells by activating AGO1. BMC Pulm Med 2021; 21:117. [PMID: 33832481 PMCID: PMC8034198 DOI: 10.1186/s12890-021-01476-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 03/23/2021] [Indexed: 01/11/2023] Open
Abstract
Background To detect and investigate the expression of POU domain class 2 transcription factor 2 (POU2F2) in human lung cancer tissues, its role in lung cancer progression, and the potential mechanisms. Methods Immunohistochemical (IHC) assays were conducted to assess the expression of POU2F2 in human lung cancer tissues. Immunoblot assays were performed to assess the expression levels of POU2F2 in human lung cancer tissues and cell lines. CCK-8, colony formation, and transwell-migration/invasion assays were conducted to detect the effects of POU2F2 and AGO1 on the proliferaion and motility of A549 and H1299 cells in vitro. CHIP and luciferase assays were performed for the mechanism study. A tumor xenotransplantation model was used to detect the effects of POU2F2 on tumor growth in vivo. Results We found POU2F2 was highly expressed in human lung cancer tissues and cell lines, and associated with the lung cancer patients’ prognosis and clinical features. POU2F2 promoted the proliferation, and motility of lung cancer cells via targeting AGO1 in vitro. Additionally, POU2F2 promoted tumor growth of lung cancer cells via AGO1 in vivo. Conclusion We found POU2F2 was highly expressed in lung cancer cells and confirmed the involvement of POU2F2 in lung cancer progression, and thought POU2F2 could act as a potential therapeutic target for lung cancer. Supplementary Information The online version contains supplementary material available at 10.1186/s12890-021-01476-9.
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Affiliation(s)
- Ronggang Luo
- Department of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, No.20 Chazhong Road, Fuzhou City, 350005, Fujian Province, China
| | - Yi Zhuo
- Department of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, No.20 Chazhong Road, Fuzhou City, 350005, Fujian Province, China.
| | - Quan Du
- Department of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, No.20 Chazhong Road, Fuzhou City, 350005, Fujian Province, China
| | - Rendong Xiao
- Department of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, No.20 Chazhong Road, Fuzhou City, 350005, Fujian Province, China
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12
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Borczuk AC. Therapeutic Interception of Early Lung Adenocarcinoma Progression: Not Just How, but When? Am J Respir Crit Care Med 2021; 203:8-9. [PMID: 32846102 PMCID: PMC7781136 DOI: 10.1164/rccm.202008-3087ed] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Alain C Borczuk
- Pathology and Laboratory Medicine Weill Cornell Medicine New York, New York
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13
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Yin J, Kasper B, Petersen F, Yu X. Association of Cigarette Smoking, COPD, and Lung Cancer With Expression of SARS-CoV-2 Entry Genes in Human Airway Epithelial Cells. Front Med (Lausanne) 2020; 7:619453. [PMID: 33425965 PMCID: PMC7793919 DOI: 10.3389/fmed.2020.619453] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 11/09/2020] [Indexed: 01/08/2023] Open
Abstract
SARS-CoV-2 enters into human airway epithelial cells via membrane fusion or endocytosis, and this process is dependent on ACE2, TMPRSS2, and cathepsin L. In this study, we examined the expression profiles of the three SARS-CoV-2 entry genes in primary human airway epithelial cells isolated from smokers, non-smokers, patients with chronic obstructive pulmonary disease or lung cancer. An exhaustive search of the GEO database was performed to identify eligible data on 1st June 2020. In total, 46 GEO datasets comprising transcriptomic data of 3,053 samples were identified as eligible data for further analysis. All meta-analysis were performed using RStudio. Standardized mean difference was utilized to assess the effect size of a factor on the expression of targeted genes and 95% confidence intervals (CIs) were calculated. This study revealed that (i) cigarette smoking is associated with an increased expression of ACE2 and TMPRSS2 and a decreased expression of cathepsin L; (ii) significant alternations in expression of ACE2, TMPRSS2, and cathepsin L were observed between current smokers and former smokers, but not between former smokers and never smokers; (iii) when compared with healthy controls with identical smoking status, patients with COPD or lung cancer showed negligible changes in expression of ACE2, TMPRSS2, and cathepsin L. Therefore, this study implicates cigarette smoking might contribute to the development of COVID-19 by affecting the expression of SARS-CoV-2 entry genes, while smoking cessation could be effective to reduce the potential risk.
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Affiliation(s)
- Junping Yin
- Division of Pulmonary Immune Diseases, Department of Asthma and Allergy, Research Center Borstel, Leibniz Lung Center, Borstel, Germany
| | - Brigitte Kasper
- Division of Pulmonary Immune Diseases, Department of Asthma and Allergy, Research Center Borstel, Leibniz Lung Center, Borstel, Germany
| | - Frank Petersen
- Division of Pulmonary Immune Diseases, Department of Asthma and Allergy, Research Center Borstel, Leibniz Lung Center, Borstel, Germany
| | - Xinhua Yu
- Division of Pulmonary Immune Diseases, Department of Asthma and Allergy, Research Center Borstel, Leibniz Lung Center, Borstel, Germany
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14
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Hou HH, Pan HJ, Liao WY, Lee CH, Yu CJ. Autophagy in fibroblasts induced by cigarette smoke extract promotes invasion in lung cancer cells. Int J Cancer 2020; 147:2587-2596. [PMID: 32488875 DOI: 10.1002/ijc.33127] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 04/29/2020] [Accepted: 05/20/2020] [Indexed: 12/13/2022]
Abstract
We investigated the effects of cigarette smoke extract (CSE) on lung fibroblasts and found that the invasiveness of lung cancer cells was facilitated by the conditioned medium from CSE-treated fibroblasts. CSE induced autophagy in fibroblasts and increased the expression of autophagy-related proteins, including optineurin and Ras-related protein Rab1B. Afterward, the fibroblasts produced high levels of interleukin-8 (IL-8), which promoted cancer cell invasion. The inhibition of either optineurin or Rab1B abrogated a rise in microtubule-associated protein 1 light chain 3 β and a decrease in p62 protein, as well as the production of IL-8, in CSE-treated fibroblasts. A three-dimensional invasion assay using cancer cell spheroids revealed that the invasion of cancer cells alone and the fibroblast-led cancer cell invasion were both enhanced by the conditioned media from CSE-treated fibroblasts. These results suggest that cigarette smoke may induce autophagy and IL-8 secretion in lung fibroblasts and modify the microenvironment to favor invasion of lung cancer cells.
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Affiliation(s)
- Hsin-Han Hou
- Graduate Institute of Oral Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Huei-Jyuan Pan
- Research Center for Applied Sciences, Academia Sinica, Taipei, Taiwan
| | - Wei-Yu Liao
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chau-Hwang Lee
- Research Center for Applied Sciences, Academia Sinica, Taipei, Taiwan
- Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan
| | - Chong-Jen Yu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
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15
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Alexander MJ, Budinger GRS, Reyfman PA. Breathing fresh air into respiratory research with single-cell RNA sequencing. Eur Respir Rev 2020; 29:29/156/200060. [PMID: 32620586 PMCID: PMC7719403 DOI: 10.1183/16000617.0060-2020] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 05/21/2020] [Indexed: 01/06/2023] Open
Abstract
The complex cellular heterogeneity of the lung poses a unique challenge to researchers in the field. While the use of bulk RNA sequencing has become a ubiquitous technology in systems biology, the technique necessarily averages out individual contributions to the overall transcriptional landscape of a tissue. Single-cell RNA sequencing (scRNA-seq) provides a robust, unbiased survey of the transcriptome comparable to bulk RNA sequencing while preserving information on cellular heterogeneity. In just a few years since this technology was developed, scRNA-seq has already been adopted widely in respiratory research and has contributed to impressive advancements such as the discoveries of the pulmonary ionocyte and of a profibrotic macrophage population in pulmonary fibrosis. In this review, we discuss general technical considerations when considering the use of scRNA-seq and examine how leading investigators have applied the technology to gain novel insights into respiratory biology, from development to disease. In addition, we discuss the evolution of single-cell technologies with a focus on spatial and multi-omics approaches that promise to drive continued innovation in respiratory research.
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Affiliation(s)
- Michael J Alexander
- Northwestern University, Feinberg School of Medicine, Dept of Medicine, Division of Pulmonary and Critical Care Medicine, Chicago, IL, USA
| | - G R Scott Budinger
- Northwestern University, Feinberg School of Medicine, Dept of Medicine, Division of Pulmonary and Critical Care Medicine, Chicago, IL, USA
| | - Paul A Reyfman
- Northwestern University, Feinberg School of Medicine, Dept of Medicine, Division of Pulmonary and Critical Care Medicine, Chicago, IL, USA
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16
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Fujiyoshi K, Chen Y, Haruki K, Ugai T, Kishikawa J, Hamada T, Liu L, Arima K, Borowsky J, Väyrynen JP, Zhao M, Lau MC, Gu S, Shi S, Akimoto N, Twombly TS, Drew DA, Song M, Chan AT, Giovannucci EL, Meyerhardt JA, Fuchs CS, Nishihara R, Lennerz JK, Giannakis M, Nowak JA, Zhang X, Wu K, Ogino S. Smoking Status at Diagnosis and Colorectal Cancer Prognosis According to Tumor Lymphocytic Reaction. JNCI Cancer Spectr 2020; 4:pkaa040. [PMID: 32923934 PMCID: PMC7477375 DOI: 10.1093/jncics/pkaa040] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 03/30/2020] [Accepted: 05/06/2020] [Indexed: 01/02/2023] Open
Abstract
Background Smoking has been associated with worse colorectal cancer patient survival and may potentially suppress the immune response in the tumor microenvironment. We hypothesized that the prognostic association of smoking behavior at colorectal cancer diagnosis might differ by lymphocytic reaction patterns in cancer tissue. Methods Using 1474 colon and rectal cancer patients within 2 large prospective cohort studies (Nurses' Health Study and Health Professionals Follow-up Study), we characterized 4 patterns of histopathologic lymphocytic reaction, including tumor-infiltrating lymphocytes (TILs), intratumoral periglandular reaction, peritumoral lymphocytic reaction, and Crohn's-like lymphoid reaction. Using covariate data of 4420 incident colorectal cancer patients in total, an inverse probability weighted multivariable Cox proportional hazards regression model was conducted to adjust for selection bias due to tissue availability and potential confounders, including tumor differentiation, disease stage, microsatellite instability status, CpG island methylator phenotype, long interspersed nucleotide element-1 methylation, and KRAS, BRAF, and PIK3CA mutations. Results The prognostic association of smoking status at diagnosis differed by TIL status. Compared with never smokers, the multivariable-adjusted colorectal cancer-specific mortality hazard ratio for current smokers was 1.50 (95% confidence interval = 1.10 to 2.06) in tumors with negative or low TIL and 0.43 (95% confidence interval = 0.16 to 1.12) in tumors with intermediate or high TIL (2-sided P interaction = .009). No statistically significant interactions were observed in the other patterns of lymphocytic reaction. Conclusions The association of smoking status at diagnosis with colorectal cancer mortality may be stronger for carcinomas with negative or low TIL, suggesting a potential interplay of smoking and lymphocytic reaction in the colorectal cancer microenvironment.
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Affiliation(s)
- Kenji Fujiyoshi
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Surgery, Kurume University, Kurume, Fukuoka, Japan
| | - Yang Chen
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Koichiro Haruki
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Tomotaka Ugai
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Junko Kishikawa
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Tsuyoshi Hamada
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Li Liu
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kota Arima
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jennifer Borowsky
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Juha P Väyrynen
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Cancer and Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, and University of Oulu, Oulu, Finland.,Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Melissa Zhao
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Mai Chan Lau
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Simeng Gu
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Shanshan Shi
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Naohiko Akimoto
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Tyler S Twombly
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - David A Drew
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA.,Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA
| | - Mingyang Song
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA.,Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA.,Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jeffrey A Meyerhardt
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Charles S Fuchs
- Yale Cancer Center, New Haven, CT, USA.,Department of Medicine, Yale School of Medicine, New Haven, CT, USA.,Smilow Cancer Hospital, New Haven, CT, USA
| | - Reiko Nishihara
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jochen K Lennerz
- Department of Pathology, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jonathan A Nowak
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shuji Ogino
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Cancer Immunology and Cancer Epidemiology Programs, Dana-Farber Harvard Cancer Center, Boston, MA, USA
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17
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Wu Z, Wang YM, Dai Y, Chen LA. POLE2 Serves as a Prognostic Biomarker and Is Associated with Immune Infiltration in Squamous Cell Lung Cancer. Med Sci Monit 2020; 26:e921430. [PMID: 32304567 PMCID: PMC7191965 DOI: 10.12659/msm.921430] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background Squamous cell lung cancer is the main cause of cancer-associated mortality. The discovery of promising prognostic biomarkers for predicting the survival of patients with squamous cell lung cancer remains a challenge. Material/Methods Gene expression profiles of GSE33479 and GSE51855, including 42 squamous cell lung cancer tissues and 17 normal tissues, from the GEO database were assessed to find common differentially expressed genes (DEGs) via the GEO2R online tool and Venn diagram software. Then, gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analyses were conducted. The key protein-protein interaction (PPI) network within those common DEGs was subsequently illustrated through a combination of Search Tool for Retrieval of Interacting Genes (STRING) and Cytoscape software. Finally, core genes associated with survival and levels of immune infiltration were demonstrated by the Kaplan-Meier plotter and Tumor Immune Estimation Resource (TIMER) online database, respectively. Results In total, 483 DEGs were involved, including 216 upregulated genes enriched in “cell division”, “DNA replication”, and “DNA repair pathway” and 267 downregulated genes enriched in “cell adhesion”, “oxidation-reduction process”, and “cell-cell signaling”. The 75 core genes were selected by Molecular Complex Detection applied in Cytoscape. Four genes – MND1, FOXM1, CDC6, and POLE2 – were found to be significantly associated with survival. Further analysis of the KEEG pathway and TIMER database revealed that only POLE2 was enriched in “DNA replication” and its higher expression was negatively associated with survival and immune infiltration. Conclusions Higher expression of POLE2 is a prognosis-related biomarker for worse survival and is negatively associated with immune infiltration in squamous cell lung cancer.
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Affiliation(s)
- Zhen Wu
- Respiratory Department, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China (mainland)
| | - Yue-Ming Wang
- School of Medicine, Nankai University, Beijing, China (mainland)
| | - Yu Dai
- Respiratory Department, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China (mainland)
| | - Liang-An Chen
- Respiratory Department, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China (mainland).,School of Medicine, Nankai University, Beijing, China (mainland)
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18
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Drizik E, Corbett S, Zheng Y, Vermeulen R, Dai Y, Hu W, Ren D, Duan H, Niu Y, Xu J, Fu W, Meliefste K, Zhou B, Zhang X, Yang J, Bassig B, Liu H, Ye M, Liu G, Jia X, Meng T, Bin P, Zhang J, Silverman D, Spira A, Rothman N, Lenburg ME, Lan Q. Transcriptomic changes in the nasal epithelium associated with diesel engine exhaust exposure. ENVIRONMENT INTERNATIONAL 2020; 137:105506. [PMID: 32044442 PMCID: PMC8725607 DOI: 10.1016/j.envint.2020.105506] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 12/19/2019] [Accepted: 01/17/2020] [Indexed: 05/13/2023]
Abstract
BACKGROUND Diesel engine exhaust (DEE) exposure causes lung cancer, but the molecular mechanisms by which this occurs are not well understood. OBJECTIVES To assess transcriptomic alterations in nasal epithelium of DEE-exposed factory workers to better understand the cellular and molecular effects of DEE. METHODS Nasal epithelial brushings were obtained from 41 diesel engine factory workers exposed to relatively high levels of DEE (17.2-105.4 μg/m3), and 38 unexposed workers from factories without DEE exposure. mRNA was profiled for gene expression using Affymetrix microarrays. Linear modeling was used to identify differentially expressed genes associated with DEE exposure and interaction effects with current smoking status. Pathway enrichment among differentially expressed genes was assessed using EnrichR. Gene Set Enrichment Analysis (GSEA) was used to compare gene expression patterns between datasets. RESULTS 225 genes had expression associated with DEE exposure after adjusting for smoking status (FDR q < 0.25) and were enriched for genes in pathways related to oxidative stress response, cell cycle pathways such as MAPK/ERK, protein modification, and transmembrane transport. Genes up-regulated in DEE-exposed individuals were enriched among the genes most up-regulated by cigarette smoking in a previously reported bronchial airway smoking dataset. We also found that the DEE signature was enriched among the genes most altered in two previous studies of the effects of acute DEE on PBMC gene expression. An exposure-response relationship was demonstrated between air levels of elemental carbon and the first principal component of the DEE signature. CONCLUSIONS A gene expression signature was identified for workers occupationally exposed to DEE that was altered in an exposure-dependent manner and had some overlap with the effects of smoking and the effects of acute DEE exposure. This is the first study of gene expression in nasal epithelial cells of workers heavily exposed to DEE and provides new insights into the molecular alterations that occur with DEE exposure.
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Affiliation(s)
- E Drizik
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - S Corbett
- Bioinformatics Program, Boston University, Boston, MA, USA
| | - Y Zheng
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - R Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Y Dai
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - W Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - D Ren
- Chaoyang Center for Disease Control and Prevention, Chaoyang, China
| | - H Duan
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Y Niu
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - J Xu
- Hong Kong University, Hong Kong, China
| | - W Fu
- Chaoyang Center for Disease Control and Prevention, Chaoyang, China
| | - K Meliefste
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - B Zhou
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaohui Zhang
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - J Yang
- Chaoyang Center for Disease Control and Prevention, Chaoyang, China
| | - Bryan Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Hanqiao Liu
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - M Ye
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Gang Liu
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - X Jia
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - T Meng
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - P Bin
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational, Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - J Zhang
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA; Global Health Research Center, Duke Kunshan University, Kunshan City, Jiangsu Province, China
| | - D Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - A Spira
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Bioinformatics Program, Boston University, Boston, MA, USA; The Lung Cancer Initiative at Johnson & Johnson, Cambridge, MA, USA
| | - N Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - M E Lenburg
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Bioinformatics Program, Boston University, Boston, MA, USA.
| | - Q Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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19
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Garland LL, Guillen-Rodriguez J, Hsu CH, Yozwiak M, Zhang HH, Alberts DS, Davis LE, Szabo E, Merenstein C, Lel J, Zhang X, Liu H, Liu G, Spira AE, Beane JE, Wojtowicz M, Chow HHS. Effect of Intermittent Versus Continuous Low-Dose Aspirin on Nasal Epithelium Gene Expression in Current Smokers: A Randomized, Double-Blinded Trial. Cancer Prev Res (Phila) 2019; 12:809-820. [PMID: 31451521 PMCID: PMC7485120 DOI: 10.1158/1940-6207.capr-19-0036] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 05/23/2019] [Accepted: 08/19/2019] [Indexed: 12/21/2022]
Abstract
A chemopreventive effect of aspirin (ASA) on lung cancer risk is supported by epidemiologic and preclinical studies. We conducted a randomized, double-blinded study in current heavy smokers to compare modulating effects of intermittent versus continuous low-dose ASA on nasal epithelium gene expression and arachidonic acid (ARA) metabolism. Fifty-four participants were randomized to intermittent (ASA 81 mg daily for one week/placebo for one week) or continuous (ASA 81 mg daily) for 12 weeks. Low-dose ASA suppressed urinary prostaglandin E2 metabolite (PGEM; change of -4.55 ± 11.52 from baseline 15.44 ± 13.79 ng/mg creatinine for arms combined, P = 0.02), a surrogate of COX-mediated ARA metabolism, but had minimal effects on nasal gene expression of nasal or bronchial gene-expression signatures associated with smoking, lung cancer, and chronic obstructive pulmonary disease. Suppression of urinary PGEM correlated with favorable changes in a smoking-associated gene signature (P < 0.01). Gene set enrichment analysis (GSEA) showed that ASA intervention led to 1,079 enriched gene sets from the Canonical Pathways within the Molecular Signatures Database. In conclusion, low-dose ASA had minimal effects on known carcinogenesis gene signatures in nasal epithelium of current smokers but results in wide-ranging genomic changes in the nasal epithelium, demonstrating utility of nasal brushings as a surrogate to measure gene-expression responses to chemoprevention. PGEM may serve as a marker for smoking-associated gene-expression changes and systemic inflammation. Future studies should focus on NSAIDs or agent combinations with broader inhibition of pro-inflammatory ARA metabolism to shift gene signatures in an anti-carcinogenic direction.
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Affiliation(s)
| | | | - Chiu-Hsieh Hsu
- University of Arizona Cancer Center, University of Arizona
| | | | | | | | - Lisa E Davis
- University of Arizona Cancer Center, University of Arizona
| | - Eva Szabo
- Division of Cancer Prevention, NCI/NIH, Boston, Massachusetts
| | | | - Julian Lel
- Boston University School of Medicine, Boston, Massachusetts
| | - Xiaohui Zhang
- Boston University School of Medicine, Boston, Massachusetts
| | - Hanqiao Liu
- Boston University School of Medicine, Boston, Massachusetts
| | - Gang Liu
- Boston University School of Medicine, Boston, Massachusetts
| | - Avrum E Spira
- Boston University School of Medicine, Boston, Massachusetts
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20
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Imkamp K, Bernal V, Grzegorzcyk M, Horvatovich P, Vermeulen CJ, Heijink IH, Guryev V, Kerstjens HAM, van den Berge M, Faiz A. Gene network approach reveals co-expression patterns in nasal and bronchial epithelium. Sci Rep 2019; 9:15835. [PMID: 31676779 PMCID: PMC6825243 DOI: 10.1038/s41598-019-50963-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 09/13/2019] [Indexed: 12/20/2022] Open
Abstract
Nasal gene expression profiling is a new approach to investigate the airway epithelium as a biomarker to study the activity and treatment responses of obstructive pulmonary diseases. We investigated to what extent gene expression profiling of nasal brushings is similar to that of bronchial brushings. We performed genome wide gene expression profiling on matched nasal and bronchial epithelial brushes from 77 respiratory healthy individuals. To investigate differences and similarities among regulatory modules, network analysis was performed on correlated, differentially expressed and smoking-related genes using Gaussian Graphical Models. Between nasal and bronchial brushes, 619 genes were correlated and 1692 genes were differentially expressed (false discovery rate <0.05, |Fold-change|>2). Network analysis of correlated genes showed pro-inflammatory pathways to be similar between the two locations. Focusing on smoking-related genes, cytochrome-P450 pathway related genes were found to be similar, supporting the concept of a detoxifying response to tobacco exposure throughout the airways. In contrast, cilia-related pathways were decreased in nasal compared to bronchial brushes when focusing on differentially expressed genes. Collectively, while there are substantial differences in gene expression between nasal and bronchial brushes, we also found similarities, especially in the response to the external factors such as smoking.
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Affiliation(s)
- Kai Imkamp
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands. .,University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands.
| | - Victor Bernal
- University of Groningen, Bernoulli Institute (JBI), Groningen, The Netherlands.,University of Groningen, Department of Pharmacy, Analytical Biochemistry, Groningen, The Netherlands
| | - Marco Grzegorzcyk
- University of Groningen, Bernoulli Institute (JBI), Groningen, The Netherlands
| | - Peter Horvatovich
- University of Groningen, Department of Pharmacy, Analytical Biochemistry, Groningen, The Netherlands
| | - Cornelis J Vermeulen
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands
| | - Irene H Heijink
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Department of Pathology & Medical Biology, section Medical Biology, Groningen, The Netherlands
| | - Victor Guryev
- University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands.,European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Huib A M Kerstjens
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands
| | - Maarten van den Berge
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands
| | - Alen Faiz
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, GRIAC (Groningen Research Institute for Asthma and COPD), Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Department of Pathology & Medical Biology, section Medical Biology, Groningen, The Netherlands.,University of Technology Sydney, Respiratory Bioinformatics and Molecular Biology (RBMB), School of life sciences, Sydney, Australia.,Woolcock Emphysema Centre, Woolcock Institute of Medical Research, University of Sydney, Sydney, NSW, Australia
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21
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Leviyang S, Strawn N, Griva I. Regulation of interferon stimulated gene expression levels at homeostasis. Cytokine 2019; 126:154870. [PMID: 31629105 DOI: 10.1016/j.cyto.2019.154870] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 09/27/2019] [Accepted: 09/28/2019] [Indexed: 01/12/2023]
Abstract
Interferon stimulated genes (ISGs), a collection of genes important in the early innate immune response, are upregulated in response to stimulation by extracellular type I interferons. The regulation of ISGs has been extensively studied in cells exposed to significant interferon stimulation, but less is known about ISG regulation in homeostatic regimes in which extracellular interferon levels are low. Using a collection of pre-existing, publicly available microarray datasets, we investigated ISG regulation at homeostasis in CD4, pulmonary epithelial, fibroblast and macrophage cells. We used a linear regression model to predict ISG expression levels from regulator expression levels. Our results suggest significant regulation of ISG expression at homeostasis, both through the ISGF3 molecule and through IRF7 and IRF8 associated pathways. We find that roughly 50% of ISGs have expression levels significantly correlated with ISGF3 expression levels at homeostasis, supporting previous results suggesting that homeostatic IFN levels have broad functional consequences. We find that ISG expression levels varied in their correlation with ISGF3, with epithelial and macrophage cells showing more correlation than CD4 and fibroblast cells. Our analysis provides a novel approach for decomposing and quantifying ISG regulation.
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Affiliation(s)
- Sivan Leviyang
- Department of Mathematics and Statistics, Georgetown University, District of Columbia 20057, USA.
| | - Nate Strawn
- Department of Mathematics and Statistics, Georgetown University, District of Columbia 20057, USA
| | - Igor Griva
- Department of Mathematical Sciences, George Mason University, Fairfax, VA 22030, USA
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22
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Chang Y, Siddens LK, Heine LK, Sampson DA, Yu Z, Fischer KA, Löhr CV, Tilton SC. Comparative mechanisms of PAH toxicity by benzo[a]pyrene and dibenzo[def,p]chrysene in primary human bronchial epithelial cells cultured at air-liquid interface. Toxicol Appl Pharmacol 2019; 379:114644. [PMID: 31255691 DOI: 10.1016/j.taap.2019.114644] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 06/14/2019] [Accepted: 06/26/2019] [Indexed: 01/08/2023]
Abstract
Current assumption for assessing carcinogenic risk of polycyclic aromatic hydrocarbons (PAHs) is that they function through a common mechanism of action; however, recent studies demonstrate that PAHs can act through unique mechanisms potentially contributing to cancer outcomes in a non-additive manner. Using a primary human 3D bronchial epithelial culture (HBEC) model, we assessed potential differences in mechanism of toxicity for two PAHs, benzo[a]pyrene (BAP) and dibenzo[def,p]chrysene (DBC), compared to a complex PAH mixture based on short-term biosignatures identified from transcriptional profiling. Differentiated bronchial epithelial cells were treated with BAP (100-500 μg/ml), DBC (10 μg/ml), and coal tar extract (CTE 500-1500 μg/ml, SRM1597a) for 48 h and gene expression was measured by RNA sequencing or quantitative PCR. Comparison of BAP and DBC gene signatures showed that the majority of genes (~60%) were uniquely regulated by treatment, including signaling pathways for inflammation and DNA damage by DBC and processes for cell cycle, hypoxia and oxidative stress by BAP. Specifically, BAP upregulated targets of AhR, NRF2, and KLF4, while DBC downregulated these same targets, suggesting a chemical-specific pattern in transcriptional regulation involved in antioxidant response, potentially contributing to differences in PAH potency. Other processes were regulated in common by all PAH treatments, BAP, DBC and CTE, including downregulation of genes involved in cell adhesion and reduced functional measurements of barrier integrity. This work supports prior in vivo studies and demonstrates the utility of profiling short-term biosignatures in an organotypic 3D model to identify mechanisms linked to carcinogenic risk of PAHs in humans.
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Affiliation(s)
- Yvonne Chang
- Environmental and Molecular Toxicology Department, Oregon State University, Corvallis, OR, USA; Superfund Research Program, Oregon State University, Corvallis, OR, USA
| | - Lisbeth K Siddens
- Environmental and Molecular Toxicology Department, Oregon State University, Corvallis, OR, USA; Superfund Research Program, Oregon State University, Corvallis, OR, USA
| | - Lauren K Heine
- Environmental and Molecular Toxicology Department, Oregon State University, Corvallis, OR, USA
| | - David A Sampson
- Environmental and Molecular Toxicology Department, Oregon State University, Corvallis, OR, USA
| | - Zhen Yu
- Environmental and Molecular Toxicology Department, Oregon State University, Corvallis, OR, USA
| | - Kay A Fischer
- College of Veterinary Medicine, Oregon State University, Corvallis, OR, USA
| | - Christiane V Löhr
- College of Veterinary Medicine, Oregon State University, Corvallis, OR, USA
| | - Susan C Tilton
- Environmental and Molecular Toxicology Department, Oregon State University, Corvallis, OR, USA; Superfund Research Program, Oregon State University, Corvallis, OR, USA.
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23
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Pozuelos GL, Kagda MS, Schick S, Girke T, Volz DC, Talbot P. Experimental Acute Exposure to Thirdhand Smoke and Changes in the Human Nasal Epithelial Transcriptome: A Randomized Clinical Trial. JAMA Netw Open 2019; 2:e196362. [PMID: 31251375 PMCID: PMC6604097 DOI: 10.1001/jamanetworkopen.2019.6362] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
IMPORTANCE No previous studies have shown that acute inhalation of thirdhand smoke (THS) activates stress and survival pathways in the human nasal epithelium. OBJECTIVE To evaluate gene expression in the nasal epithelium of nonsmoking women following acute inhalation of clean air and THS. DESIGN, SETTING, AND PARTICIPANTS Nasal epithelium samples were obtained from participants in a randomized clinical trial (2011-2015) on the health effects of inhaled THS. In a crossover design, participants were exposed, head only, to THS and to conditioned, filtered air in a laboratory setting. The order of exposures was randomized and exposures were separated by at least 21 days. Ribonucleic acid was obtained from a subset of 4 healthy, nonsmoking women. EXPOSURES By chance, women in the subset were randomized to receive clean air exposure first and THS exposure second. Exposures lasted 3 hours. MAIN OUTCOMES AND MEASURES Differentially expressed genes were identified using RNA sequencing with a false-discovery rate less than 0.1. RESULTS Participants were 4 healthy, nonsmoking women aged 27 to 49 years (mean [SD] age, 42 [10.2] years) with no chronic diseases. A total of 389 differentially expressed genes were identified in nasal epithelium exposed to THS, while only 2 genes, which were not studied further, were affected by clean air. Enriched gene ontology terms associated with stress-induced mitochondrial hyperfusion were identified, such as respiratory electron transport chain (q = 2.84 × 10-3) and mitochondrial inner membrane (q = 7.21 × 10-6). Reactome pathway analysis identified terms associated with upregulation of DNA repair mechanisms, such as nucleotide excision repair (q = 1.05 × 10-2). Enrichment analyses using ingenuity pathway analysis identified canonical pathways related to stress-induced mitochondrial hyperfusion (eg, increased oxidative phosphorylation) (P = .001), oxidative stress (eg, glutathione depletion phase II reactions) (P = .04), and cell survival (z score = 5.026). CONCLUSIONS AND RELEVANCE This study found that acute inhalation of THS caused cell stress that led to the activation of survival pathways. Some responses were consistent with stress-induced mitochondrial hyperfusion and similar to those demonstrated previously in vitro. These data may be valuable to physicians treating patients exposed to THS and may aid in formulating regulations for the remediation of THS-contaminated environments.
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Affiliation(s)
- Giovanna L. Pozuelos
- Department of Molecular, Cell and Systems Biology, University of California, Riverside
| | - Meenakshi S. Kagda
- Department of Molecular, Cell and Systems Biology, University of California, Riverside
| | - Suzaynn Schick
- Department of Medicine, University of California, San Francisco
| | - Thomas Girke
- Department of Botany and Plant Sciences, University of California, Riverside
| | - David C. Volz
- Department of Environmental Sciences, University of California, Riverside
| | - Prue Talbot
- Department of Molecular, Cell and Systems Biology, University of California, Riverside
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24
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Robles AI, Harris CC. Lung Cancer Field Cancerization: Implications for Screening by Low-Dose Computed Tomography. J Natl Cancer Inst 2019; 109:3076214. [PMID: 28376183 DOI: 10.1093/jnci/djw328] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Accepted: 12/12/2016] [Indexed: 01/02/2023] Open
Affiliation(s)
- Ana I Robles
- Laboratory of Human Carcinogenesis, NCI-CCR, National Institutes of Health, Bethesda, MD, USA
| | - Curtis C Harris
- Laboratory of Human Carcinogenesis, NCI-CCR, National Institutes of Health, Bethesda, MD, USA
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25
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Hijazi K, Malyszko B, Steiling K, Xiao X, Liu G, Alekseyev YO, Dumas YM, Hertsgaard L, Jensen J, Hatsukami D, Brooks DR, O'Connor G, Beane J, Lenburg ME, Spira A. Tobacco-Related Alterations in Airway Gene Expression are Rapidly Reversed Within Weeks Following Smoking-Cessation. Sci Rep 2019; 9:6978. [PMID: 31061400 PMCID: PMC6502805 DOI: 10.1038/s41598-019-43295-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 04/10/2019] [Indexed: 01/17/2023] Open
Abstract
The physiologic response to tobacco smoke can be measured by gene-expression profiling of the airway epithelium. Temporal resolution of kinetics of gene-expression alterations upon smoking-cessation might delineate distinct biological processes that are activated during recovery from tobacco smoke exposure. Using whole genome gene-expression profiling of individuals initiating a smoking-cessation attempt, we sought to characterize the kinetics of gene-expression alterations in response to short-term smoking-cessation in the nasal epithelium. RNA was extracted from the nasal epithelial of active smokers at baseline and at 4, 8, 16, and 24-weeks after smoking-cessation and put onto Gene ST arrays. Gene-expression levels of 119 genes were associated with smoking-cessation (FDR < 0.05, FC ≥1.7) with a majority of the changes occurring by 8-weeks and a subset changing by 4-weeks. Genes down-regulated by 4- and 8-weeks post-smoking-cessation were involved in xenobiotic metabolism and anti-apoptotic functions respectively. These genes were enriched among genes previously found to be induced in smokers and following short-term in vitro exposure of airway epithelial cells to cigarette smoke (FDR < 0.05). Our findings suggest that the nasal epithelium can serve as a minimally-invasive tool to measure the reversible impact of smoking and broadly, may serve to assess the physiological impact of changes in smoking behavior.
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Affiliation(s)
- Kahkeshan Hijazi
- Department of Medicine, Section of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, United States
- Bioinformatics Program, Boston University, Boston, Massachusetts, United States
| | - Bozena Malyszko
- Department of Medicine, Section of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, United States
| | - Katrina Steiling
- Department of Medicine, Section of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, United States
- Bioinformatics Program, Boston University, Boston, Massachusetts, United States
- The Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, United States
| | - Xiaohui Xiao
- Department of Medicine, Section of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, United States
| | - Gang Liu
- Department of Medicine, Section of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, United States
| | - Yuriy O Alekseyev
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts, United States
| | - Yves-Martine Dumas
- Department of Medicine, Section of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, United States
| | - Louise Hertsgaard
- Tobacco Research Programs, University of Minnesota, Minneapolis, Minnesota, United States
| | - Joni Jensen
- Tobacco Research Programs, University of Minnesota, Minneapolis, Minnesota, United States
| | - Dorothy Hatsukami
- Tobacco Research Programs, University of Minnesota, Minneapolis, Minnesota, United States
| | - Daniel R Brooks
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, United States
| | - George O'Connor
- The Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, United States
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts, United States
| | - Jennifer Beane
- Department of Medicine, Section of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, United States
| | - Marc E Lenburg
- Department of Medicine, Section of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, United States
- Bioinformatics Program, Boston University, Boston, Massachusetts, United States
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts, United States
| | - Avrum Spira
- Department of Medicine, Section of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, United States.
- Bioinformatics Program, Boston University, Boston, Massachusetts, United States.
- The Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, United States.
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts, United States.
- Johnson & Johnson Innovation Center, Cambridge, Massachusetts, United States.
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26
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Billatos E, Duan F, Moses E, Marques H, Mahon I, Dymond L, Apgar C, Aberle D, Washko G, Spira A. Detection of early lung cancer among military personnel (DECAMP) consortium: study protocols. BMC Pulm Med 2019; 19:59. [PMID: 30845938 PMCID: PMC6407252 DOI: 10.1186/s12890-019-0825-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 02/26/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Lung cancer is the leading cause of cancer-related death due in large part to our inability to diagnose it at an early and potentially curable stage. Screening for lung cancer via low dose computed tomographic (LDCT) imaging has been demonstrated to improve mortality but also results in a high rate of false positive tests. The identification and application of non-invasive molecular biomarkers that improve the performance of CT imaging for the detection of lung cancer in high risk individuals would aid in clinical decision-making, eliminate the need for unnecessary LDCT follow-up, and further refine the screening criteria for an already large high-risk population. METHODS The Detection of Early Lung Cancer Among Military Personnel (DECAMP) consortium is conducting two multicenter prospective studies with the goals of developing an integrated panel of both airway and blood-based molecular biomarkers that discriminate benign and malignant indeterminate nodules detected on CT scan as well as predict the future development of lung cancer in high-risk individuals. To achieve these goals, DECAMP is compiling an extensive array of biospecimens including nasal brushings, serum, plasma and intrathoracic airway samples (bronchial brushings and bronchial biopsies) from normal-appearing airway epithelium. DISCUSSION This bank of samples is the foundation for multiple DECAMP efforts focused on the identification of those at greatest risk of developing lung cancer as well as the discrimination of benign and malignant pulmonary nodules. The clinical, imaging and biospecimen repositories will serve as a resource for the biomedical community and their investigation of the molecular basis of chronic respiratory disease. TRIAL REGISTRATION Retrospectively registered as NCT01785342 - DECAMP-1: Diagnosis and Surveillance of Indeterminate Pulmonary Nodules (DECAMP-1). Date of Registration: February 7, 2013. Retrospectively registered as NCT02504697 - DECAMP-2: Screening of Patients With Early Stage Lung Cancer or at High Risk for Developing Lung Cancer (DECAMP-2). Date of Registration: July 22, 2015.
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Affiliation(s)
- Ehab Billatos
- Division of Pulmonary, Allergy, and Critical Care Medicine, Boston University School of Medicine, Boston, MA 02118 USA
| | - Fenghai Duan
- Department of Biostatistics, Brown University, Providence, RI 02912 USA
| | - Elizabeth Moses
- Division of Computational Biomedicine, Boston University School of Medicine, Boston, MA 02118 USA
| | - Helga Marques
- Department of Biostatistics, Brown University, Providence, RI 02912 USA
| | - Irene Mahon
- American College of Radiology Imaging Network, Philadelphia, PA 19103 USA
| | - Lindsey Dymond
- American College of Radiology Imaging Network, Philadelphia, PA 19103 USA
| | - Charles Apgar
- American College of Radiology Imaging Network, Philadelphia, PA 19103 USA
| | - Denise Aberle
- Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA 90024 USA
| | - George Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s University, Boston, MA 02115 USA
| | - Avrum Spira
- Division of Pulmonary, Allergy, and Critical Care Medicine, Boston University School of Medicine, Boston, MA 02118 USA
- Division of Computational Biomedicine, Boston University School of Medicine, Boston, MA 02118 USA
| | - on behalf of the DECAMP investigators
- Division of Pulmonary, Allergy, and Critical Care Medicine, Boston University School of Medicine, Boston, MA 02118 USA
- Department of Biostatistics, Brown University, Providence, RI 02912 USA
- Division of Computational Biomedicine, Boston University School of Medicine, Boston, MA 02118 USA
- American College of Radiology Imaging Network, Philadelphia, PA 19103 USA
- Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA 90024 USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s University, Boston, MA 02115 USA
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27
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Ryan BM. Lung cancer health disparities. Carcinogenesis 2019; 39:741-751. [PMID: 29547922 DOI: 10.1093/carcin/bgy047] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 03/13/2018] [Indexed: 12/16/2022] Open
Abstract
Compared with all other racial and ethnic groups in the United States, African Americans are disproportionally affected by lung cancer, both in terms of incidence and survival. It is likely that smoking, as the main etiological factor associated with lung cancer, contributes to these disparities, but the precise mechanism is still unclear. This paper seeks to explore the history of lung cancer disparities and review to the literature regarding the various factors that contribute to them.
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Affiliation(s)
- Bríd M Ryan
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
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28
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Seijo LM, Peled N, Ajona D, Boeri M, Field JK, Sozzi G, Pio R, Zulueta JJ, Spira A, Massion PP, Mazzone PJ, Montuenga LM. Biomarkers in Lung Cancer Screening: Achievements, Promises, and Challenges. J Thorac Oncol 2018; 14:343-357. [PMID: 30529598 DOI: 10.1016/j.jtho.2018.11.023] [Citation(s) in RCA: 290] [Impact Index Per Article: 48.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 11/20/2018] [Accepted: 11/26/2018] [Indexed: 12/12/2022]
Abstract
The present review is an update of the research and development efforts regarding the use of molecular biomarkers in the lung cancer screening setting. The two main unmet clinical needs, namely, the refinement of risk to improve the selection of individuals undergoing screening and the characterization of undetermined nodules found during the computed tomography-based screening process are the object of the biomarkers described in the present review. We first propose some principles to optimize lung cancer biomarker discovery projects. Then, we summarize the discovery and developmental status of currently promising molecular candidates, such as autoantibodies, complement fragments, microRNAs, circulating tumor DNA, DNA methylation, blood protein profiling, or RNA airway or nasal signatures. We also mention other emerging biomarkers or new technologies to follow, such as exhaled breath biomarkers, metabolomics, sputum cell imaging, genetic predisposition studies, and the integration of next-generation sequencing into study of circulating DNA. We also underline the importance of integrating different molecular technologies together with imaging, radiomics, and artificial intelligence. We list a number of completed, ongoing, or planned trials to show the clinical utility of molecular biomarkers. Finally, we comment on future research challenges in the field of biomarkers in the context of lung cancer screening and propose a design of a trial to test the clinical utility of one or several candidate biomarkers.
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Affiliation(s)
- Luis M Seijo
- Clinica Universidad de Navarra, Madrid, Spain; CIBERES, Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Madrid, Spain
| | - Nir Peled
- Oncology Division, The Legacy Heritage Oncology Center and Dr. Larry Norton Institute, Soroka Medical Center and Ben-Gurion University, Beer-Sheva, Israel
| | - Daniel Ajona
- Solid Tumors Program, Centro de Investigación Médica Aplicada, Pamplona, Spain; Navarra Institute for Health Research, Pamplona, Spain; CIBERONC, Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain; Department of Biochemistry and Genetics, School of Sciences, University of Navarra, Pamplona, Spain
| | - Mattia Boeri
- Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - John K Field
- The Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Gabriella Sozzi
- Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Ruben Pio
- Solid Tumors Program, Centro de Investigación Médica Aplicada, Pamplona, Spain; Navarra Institute for Health Research, Pamplona, Spain; CIBERONC, Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain; Department of Biochemistry and Genetics, School of Sciences, University of Navarra, Pamplona, Spain
| | - Javier J Zulueta
- Department of Pulmonology, Clinica Universidad de Navarra, Pamplona, Spain; Visiongate Inc., Phoenix, Arizona
| | - Avrum Spira
- Boston University School of Medicine, Boston, Massachusetts
| | | | | | - Luis M Montuenga
- Solid Tumors Program, Centro de Investigación Médica Aplicada, Pamplona, Spain; Navarra Institute for Health Research, Pamplona, Spain; CIBERONC, Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain; Department of Pathology, Anatomy and Physiology, School of Medicine, University of Navarra, Pamplona, Spain.
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29
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Sala MA, Balderas-Martínez YI, Buendía-Roldan I, Abdala-Valencia H, Nam K, Jain M, Bhorade S, Bharat A, Reyfman PA, Ridge KM, Pardo A, Sznajder JI, Budinger GRS, Misharin AV, Selman M. Inflammatory pathways are upregulated in the nasal epithelium in patients with idiopathic pulmonary fibrosis. Respir Res 2018; 19:233. [PMID: 30477498 PMCID: PMC6257973 DOI: 10.1186/s12931-018-0932-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 11/07/2018] [Indexed: 12/12/2022] Open
Abstract
Idiopathic pulmonary fibrosis (IPF) is characterized by progressive scarring of the lung parenchyma, leading to respiratory failure and death. High resolution computed tomography of the chest is often diagnostic for IPF, but its cost and the risk of radiation exposure limit its use as a screening tool even in patients at high risk for the disease. In patients with lung cancer, investigators have detected transcriptional signatures of disease in airway and nasal epithelial cells distal to the site of disease that are clinically useful as screening tools. Here we assessed the feasibility of distinguishing patients with IPF from age-matched controls through transcriptomic profiling of nasal epithelial curettage samples, which can be safely and repeatedly sampled over the course of a patient's illness. We recruited 10 patients with IPF and 23 age-matched healthy control subjects. Using 3' messenger RNA sequencing (mRNA-seq), we identified 224 differentially expressed genes, most of which were upregulated in patients with IPF compared with controls. Pathway enrichment analysis revealed upregulation of pathways related to immune response and inflammatory signaling in IPF patients compared with controls. These findings support the concept that fibrosis is associated with upregulation of inflammatory pathways across the respiratory epithelium with possible implications for disease detection and pathobiology.
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Affiliation(s)
- Marc A Sala
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | | | - Ivette Buendía-Roldan
- Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Tlalpan 4502, CP 14080, Mexico City, Mexico
| | - Hiam Abdala-Valencia
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Kiwon Nam
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Manu Jain
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Sangeeta Bhorade
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Ankit Bharat
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Paul A Reyfman
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.,CONACYT-Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.,Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Tlalpan 4502, CP 14080, Mexico City, Mexico.,Facultad de Ciencias, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico
| | - Karen M Ridge
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Annie Pardo
- Facultad de Ciencias, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico
| | - Jacob I Sznajder
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - G R Scott Budinger
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Alexander V Misharin
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Moises Selman
- Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Tlalpan 4502, CP 14080, Mexico City, Mexico.
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30
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Developing Faculty in Emerging Areas of Interdisciplinary Research. Am J Med 2018; 131:1257-1262. [PMID: 29981720 DOI: 10.1016/j.amjmed.2018.06.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 06/22/2018] [Indexed: 01/13/2023]
Abstract
The availability of new techniques and technologies to answer important medical questions is accelerating at a breathtaking pace. In response to these exciting new opportunities, clinical departments, in general, and departments of medicine, in particular, have broadened their research portfolios. Organization of the traditional structures of clinical departments, research infrastructure, training programs, and rewards for faculty has only begun to catalyze emerging research areas such as artificial intelligence, bioinformatics, bioengineering, cell and tissue engineering, cost effectiveness, health services, implementation science, integrative epidemiology, medical informatics, nanomedicine, and quality improvement. Success in these emerging areas of research requires interdisciplinary collaboration on a much larger scale than in the past. The effectiveness of efforts to recruit, develop, mentor, and promote faculty in these exciting areas will be critical to the success of departmental and institutional research programs. We describe examples of initiatives from our 5 departments of medicine designed to develop and promote faculty conducting research in emerging interdisciplinary areas. We focus on core resources, training, organizational structures, and recognition and promotion. Faculty have a compelling opportunity and obligation to pursue emerging research areas that have the potential to further improve the prevention, diagnosis, and treatment of disease. As departments prepare to meet this exciting opportunity in the future, the lessons learned must inform investments in faculty development. Although many of the strategies outlined herein could and should expand beyond any individual department, departments of medicine have a distinct obligation and opportunity to lead this effort.
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31
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Billatos E, Vick JL, Lenburg ME, Spira AE. The Airway Transcriptome as a Biomarker for Early Lung Cancer Detection. Clin Cancer Res 2018; 24:2984-2992. [PMID: 29463557 PMCID: PMC7397497 DOI: 10.1158/1078-0432.ccr-16-3187] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Revised: 12/06/2017] [Accepted: 02/16/2018] [Indexed: 12/17/2022]
Abstract
Lung cancer remains the leading cause of cancer-related death due to its advanced stage at diagnosis. Early detection of lung cancer can be improved by better defining who should be screened radiographically and determining which imaging-detected pulmonary nodules are malignant. Gene expression biomarkers measured in normal-appearing airway epithelium provide an opportunity to use lung cancer-associated molecular changes in this tissue for early detection of lung cancer. Molecular changes in the airway may result from an etiologic field of injury and/or field cancerization. The etiologic field of injury reflects the aberrant physiologic response to carcinogen exposure that creates a susceptible microenvironment for cancer initiation. In contrast, field cancerization reflects effects of "first-hit" mutations in a clone of cells from which the tumor ultimately arises or the effects of the tumor on the surrounding tissue. These fields might have value both for assessing lung cancer risk and diagnosis. Cancer-associated gene expression changes in the bronchial airway have recently been used to develop and validate a 23-gene classifier that improves the diagnostic yield of bronchoscopy for lung cancer among intermediate-risk patients. Recent studies have demonstrated that these lung cancer-related gene expression changes extend to nasal epithelial cells that can be sampled noninvasively. While the bronchial gene expression biomarker is being adopted clinically, further work is necessary to explore the potential clinical utility of gene expression profiling in the nasal epithelium for lung cancer diagnosis, lung cancer risk assessment, and precision medicine for lung cancer treatment and chemoprevention. Clin Cancer Res; 24(13); 2984-92. ©2018 AACR.
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Affiliation(s)
- Ehab Billatos
- Section of Computational Biomedicine, Department of Medicine and BU-BMC Cancer Center, Boston University, Boston, Massachusetts
| | - Jessica L Vick
- Section of Computational Biomedicine, Department of Medicine and BU-BMC Cancer Center, Boston University, Boston, Massachusetts
| | - Marc E Lenburg
- Section of Computational Biomedicine, Department of Medicine and BU-BMC Cancer Center, Boston University, Boston, Massachusetts
| | - Avrum E Spira
- Section of Computational Biomedicine, Department of Medicine and BU-BMC Cancer Center, Boston University, Boston, Massachusetts.
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32
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Impact of an Interdisciplinary Computational Research Section in a Department of Medicine: An 8-Year Perspective. Am J Med 2018; 131:846-851. [PMID: 29601802 DOI: 10.1016/j.amjmed.2018.03.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Accepted: 03/22/2018] [Indexed: 12/20/2022]
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33
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Haswell LE, Corke S, Verrastro I, Baxter A, Banerjee A, Adamson J, Jaunky T, Proctor C, Gaça M, Minet E. In vitro RNA-seq-based toxicogenomics assessment shows reduced biological effect of tobacco heating products when compared to cigarette smoke. Sci Rep 2018; 8:1145. [PMID: 29402904 PMCID: PMC5799303 DOI: 10.1038/s41598-018-19627-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Accepted: 01/05/2018] [Indexed: 12/11/2022] Open
Abstract
The battery of regulatory tests used to evaluate the risk of novel tobacco products such as heated tobacco products (THPs) presents some limitations including a bias towards the apical endpoint tested, and limited information on the mode of action. This is driving a paradigm shift to more holistic systems biology approaches. In this study, we used RNA-sequencing to compare the transcriptomic perturbations following acute exposure of a 3D airway tissue to the aerosols from two commercial THPs and a reference 3R4F cigarette. 2809 RNAs were differentially expressed for the 3R4F treatment and 115 and 2 RNAs for the two THPs (pFDR < 0.05, FC > 1.5), respectively. The relationship between the identified RNA features and gene ontologies were mapped showing a strong association with stress response, xenobiotics metabolism, and COPD-related terms for 3R4F. In contrast, fewer ontologies were found enriched for the THPs aerosols. "Response to wounding" was a common COPD-related term over-represented for the two THPs but at a reduced significance. Quantification of a cytokine panel post-exposure confirmed a pro-inflammatory effect of cigarette smoke but not for THPs. In conclusion, THPs have a reduced impact on gene expression compared to 3R4F.
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Affiliation(s)
- Linsey E Haswell
- British American Tobacco R&D Centre, Regents Park Road, Southampton, SO15 8TL, UK
| | - Sarah Corke
- British American Tobacco R&D Centre, Regents Park Road, Southampton, SO15 8TL, UK
| | - Ivan Verrastro
- British American Tobacco R&D Centre, Regents Park Road, Southampton, SO15 8TL, UK
| | - Andrew Baxter
- British American Tobacco R&D Centre, Regents Park Road, Southampton, SO15 8TL, UK
| | - Anisha Banerjee
- British American Tobacco R&D Centre, Regents Park Road, Southampton, SO15 8TL, UK
| | - Jason Adamson
- British American Tobacco R&D Centre, Regents Park Road, Southampton, SO15 8TL, UK
| | - Tomasz Jaunky
- British American Tobacco R&D Centre, Regents Park Road, Southampton, SO15 8TL, UK
| | - Christopher Proctor
- British American Tobacco R&D Centre, Regents Park Road, Southampton, SO15 8TL, UK
| | - Marianna Gaça
- British American Tobacco R&D Centre, Regents Park Road, Southampton, SO15 8TL, UK
| | - Emmanuel Minet
- British American Tobacco R&D Centre, Regents Park Road, Southampton, SO15 8TL, UK.
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34
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Rahal Z, El Nemr S, Sinjab A, Chami H, Tfayli A, Kadara H. Smoking and Lung Cancer: A Geo-Regional Perspective. Front Oncol 2017; 7:194. [PMID: 28920053 PMCID: PMC5585135 DOI: 10.3389/fonc.2017.00194] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 08/14/2017] [Indexed: 12/29/2022] Open
Abstract
Lung cancer is the leading cause of cancer-related deaths worldwide. Non-small cell lung cancer (NSCLC) represents the most frequently diagnosed subtype of this morbid malignancy. NSCLC is causally linked to tobacco consumption with more than 500 million smokers worldwide at high risk for this fatal malignancy. We are currently lagging in our knowledge of the early molecular (e.g., genomic) effects of smoking in NSCLC pathogenesis that would constitute ideal markers for early detection. This limitation is further amplified when considering the variable etiologic factors in NSCLC pathogenesis among different regions around the globe. In this review, we present our current knowledge of genomic alterations arising during early stages of smoking-induced lung cancer initiation and progression, including discussing the premalignant airway field of injury induced by smoking. The review also underscores the wider spectra and higher age-adjusted rates of tobacco (e.g., water-pipe smoke) consumption, along with elevated environmental carcinogenic exposures and relatively poorer socioeconomic status, in low-middle income countries (LMICs), with Lebanon as an exemplar. This “cocktail” of carcinogenic exposures warrants the pressing need to understand the complex etiology of lung malignancies developing in LMICs such as Lebanon.
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Affiliation(s)
- Zahraa Rahal
- Faculty of Arts and Sciences, Department of Biology, American University of Beirut, Beirut, Lebanon
| | - Shaza El Nemr
- Faculty of Medicine, Department of Biochemistry and Molecular Genetics, American University of Beirut, Beirut, Lebanon
| | - Ansam Sinjab
- Faculty of Medicine, Department of Biochemistry and Molecular Genetics, American University of Beirut, Beirut, Lebanon
| | - Hassan Chami
- Faculty of Medicine, Department of Internal Medicine, American University of Beirut, Beirut, Lebanon
| | - Arafat Tfayli
- Faculty of Medicine, Department of Internal Medicine, American University of Beirut, Beirut, Lebanon
| | - Humam Kadara
- Faculty of Medicine, Department of Biochemistry and Molecular Genetics, American University of Beirut, Beirut, Lebanon.,Department of Epidemiology, Division of Cancer Prevention, University of Texas MD Anderson Cancer Center, Houston, TX, United States
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35
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Beane J, Campbell JD, Lel J, Vick J, Spira A. Genomic approaches to accelerate cancer interception. Lancet Oncol 2017; 18:e494-e502. [PMID: 28759388 DOI: 10.1016/s1470-2045(17)30373-x] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2016] [Revised: 03/08/2017] [Accepted: 03/09/2017] [Indexed: 12/13/2022]
Abstract
Although major advances have been reported in the last decade in the treatment of late-stage cancer with targeted and immune-based therapies, there is a crucial unmet need to develop new approaches to improve the prevention and early detection of cancer. Advances in genomics and computational biology offer unprecedented opportunities to understand the earliest molecular events associated with carcinogenesis, enabling novel strategies to intercept the development of invasive cancers. This Series paper will highlight emerging big data genomic approaches with the potential to accelerate advances in cancer prevention, screening, and early detection across various tumour types, and the challenges inherent in the development of these tools for clinical use. Through coordinated multicentre consortia, these genomic approaches are likely to transform the landscape of cancer interception in the coming years.
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Affiliation(s)
- Jennifer Beane
- Department of Medicine and BU-BMC Cancer Center, Boston University, Boston, MA, USA
| | - Joshua D Campbell
- Department of Medicine and BU-BMC Cancer Center, Boston University, Boston, MA, USA
| | - Julian Lel
- Department of Medicine and BU-BMC Cancer Center, Boston University, Boston, MA, USA
| | - Jessica Vick
- Department of Medicine and BU-BMC Cancer Center, Boston University, Boston, MA, USA
| | - Avrum Spira
- Department of Medicine and BU-BMC Cancer Center, Boston University, Boston, MA, USA.
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36
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Vachani A, Sequist LV, Spira A. AJRCCM: 100-Year Anniversary. The Shifting Landscape for Lung Cancer: Past, Present, and Future. Am J Respir Crit Care Med 2017; 195:1150-1160. [PMID: 28459327 PMCID: PMC5439022 DOI: 10.1164/rccm.201702-0433ci] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 03/16/2017] [Indexed: 12/13/2022] Open
Abstract
The past century has witnessed a transformative shift in lung cancer from a rare reportable disease to the leading cause of cancer death among men and women worldwide. This historic shift reflects the increase in tobacco consumption worldwide, spurring public health efforts over the past several decades directed at tobacco cessation and control. Although most lung cancers are still diagnosed at a late stage, there have been significant advances in screening high-risk smokers, diagnostic modalities, and chemopreventive approaches. Improvements in surgery and radiation are advancing our ability to manage early-stage disease, particularly among patients considered unfit for traditional open resection. Arguably, the most dramatic progress has occurred on the therapeutic side, with the development of targeted and immune-based therapy over the past decade. This article reviews the major shifts in the lung cancer landscape over the past 100 years. Although many ongoing clinical challenges remain, this review will also highlight emerging molecular and imaging-based approaches that represent opportunities to transform the prevention, early detection, and treatment of lung cancer in the years ahead.
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Affiliation(s)
- Anil Vachani
- Division of Pulmonary, Allergy, and Critical Care Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Lecia V. Sequist
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; and
| | - Avrum Spira
- Section of Computational Biomedicine, Department of Medicine, Boston University Medical Center, Boston, Massachusetts
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37
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Spira A, Yurgelun MB, Alexandrov L, Rao A, Bejar R, Polyak K, Giannakis M, Shilatifard A, Finn OJ, Dhodapkar M, Kay NE, Braggio E, Vilar E, Mazzilli SA, Rebbeck TR, Garber JE, Velculescu VE, Disis ML, Wallace DC, Lippman SM. Precancer Atlas to Drive Precision Prevention Trials. Cancer Res 2017; 77:1510-1541. [PMID: 28373404 PMCID: PMC6681830 DOI: 10.1158/0008-5472.can-16-2346] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Revised: 01/20/2017] [Accepted: 01/20/2017] [Indexed: 02/07/2023]
Abstract
Cancer development is a complex process driven by inherited and acquired molecular and cellular alterations. Prevention is the holy grail of cancer elimination, but making this a reality will take a fundamental rethinking and deep understanding of premalignant biology. In this Perspective, we propose a national concerted effort to create a Precancer Atlas (PCA), integrating multi-omics and immunity - basic tenets of the neoplastic process. The biology of neoplasia caused by germline mutations has led to paradigm-changing precision prevention efforts, including: tumor testing for mismatch repair (MMR) deficiency in Lynch syndrome establishing a new paradigm, combinatorial chemoprevention efficacy in familial adenomatous polyposis (FAP), signal of benefit from imaging-based early detection research in high-germline risk for pancreatic neoplasia, elucidating early ontogeny in BRCA1-mutation carriers leading to an international breast cancer prevention trial, and insights into the intricate germline-somatic-immunity interaction landscape. Emerging genetic and pharmacologic (metformin) disruption of mitochondrial (mt) respiration increased autophagy to prevent cancer in a Li-Fraumeni mouse model (biology reproduced in clinical pilot) and revealed profound influences of subtle changes in mt DNA background variation on obesity, aging, and cancer risk. The elaborate communication between the immune system and neoplasia includes an increasingly complex cellular microenvironment and dynamic interactions between host genetics, environmental factors, and microbes in shaping the immune response. Cancer vaccines are in early murine and clinical precancer studies, building on the recent successes of immunotherapy and HPV vaccine immune prevention. Molecular monitoring in Barrett's esophagus to avoid overdiagnosis/treatment highlights an important PCA theme. Next generation sequencing (NGS) discovered age-related clonal hematopoiesis of indeterminate potential (CHIP). Ultra-deep NGS reports over the past year have redefined the premalignant landscape remarkably identifying tiny clones in the blood of up to 95% of women in their 50s, suggesting that potentially premalignant clones are ubiquitous. Similar data from eyelid skin and peritoneal and uterine lavage fluid provide unprecedented opportunities to dissect the earliest phases of stem/progenitor clonal (and microenvironment) evolution/diversity with new single-cell and liquid biopsy technologies. Cancer mutational signatures reflect exogenous or endogenous processes imprinted over time in precursors. Accelerating the prevention of cancer will require a large-scale, longitudinal effort, leveraging diverse disciplines (from genetics, biochemistry, and immunology to mathematics, computational biology, and engineering), initiatives, technologies, and models in developing an integrated multi-omics and immunity PCA - an immense national resource to interrogate, target, and intercept events that drive oncogenesis. Cancer Res; 77(7); 1510-41. ©2017 AACR.
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Affiliation(s)
- Avrum Spira
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Pathology and Bioinformatics, Boston University School of Medicine, Boston, Massachusetts
| | - Matthew B Yurgelun
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ludmil Alexandrov
- Theoretical Division, Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico
| | - Anjana Rao
- Division of Signaling and Gene Expression, La Jolla Institute for Allergy and Immunology, La Jolla, California
| | - Rafael Bejar
- Department of Medicine, Moores Cancer Center, University of California San Diego, La Jolla, California
| | - Kornelia Polyak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ali Shilatifard
- Department of Biochemistry and Molecular Genetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Olivera J Finn
- Department of Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Madhav Dhodapkar
- Department of Hematology and Immunology, Yale Cancer Center, New Haven, Connecticut
| | - Neil E Kay
- Department of Hematology, Mayo Clinic Hospital, Rochester, Minnesota
| | - Esteban Braggio
- Department of Hematology, Mayo Clinic Hospital, Phoenix, Arizona
| | - Eduardo Vilar
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sarah A Mazzilli
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Pathology and Bioinformatics, Boston University School of Medicine, Boston, Massachusetts
| | - Timothy R Rebbeck
- Division of Hematology and Oncology, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Judy E Garber
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Victor E Velculescu
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
- Department of Pathology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Mary L Disis
- Department of Medicine, Center for Translational Medicine in Women's Health, University of Washington, Seattle, Washington
| | - Douglas C Wallace
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Scott M Lippman
- Department of Medicine, Moores Cancer Center, University of California San Diego, La Jolla, California.
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