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Peeters S, Lau K, Stefanidis K, Yasufuku K, Ishiwata T, Rolfo C, Schneiter D, Hardavella G, Guckenberger M, Lauk O. New diagnostic and nonsurgical local treatment modalities for early stage lung cancer. Lung Cancer 2024; 196:107952. [PMID: 39236577 DOI: 10.1016/j.lungcan.2024.107952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Accepted: 08/31/2024] [Indexed: 09/07/2024]
Abstract
This paper highlights developments in diagnostic and nonsurgical local treatment modalities that have changed the management of early-stage lung cancer. These innovations aim to enhance diagnostic accuracy, minimize invasiveness, and improve patient outcomes. Liquid biopsies are emerging as promising tools for non-invasive diagnosis and monitoring, enabling earlier intervention without being standardized yet as well as not yet anchored in the guidelines. Endobronchial navigation has emerged as an innovative tool. By combining electromagnetic or GPS-like technology with 3D imaging and a steerable catheter, it enables accurate biopsy of small, peripheral lesions that were once challenging to sample, with a very low pneumothorax rate. Regarding nonsurgical treatments, stereotactic body radiotherapy (SBRT) continues to shine as a non-invasive local treatment modality for early-stage lung cancer and is the guideline-recommended standard-of-care for inoperable patients and patients refusing the risk of surgical resection. The low toxicity and excellent local control has made it an attractive alternative to surgery even in fitter patients. Percutaneous ablative techniques utilising energies such as microwave or pulse-field electroporation are options for patients who are not candidates for surgery or SBRT. Bronchoscopic ablation delivers the same energies but with a very lower pneumothorax rate and it is therefore also open to patients with multiple and bilateral lesions.
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Affiliation(s)
- Stephanie Peeters
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, the Netherlands.
| | - Kelvin Lau
- Barts Thorax Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | | | - Kazuhiro Yasufuku
- Division of Thoracic Surgery, University Health Network, Toronto, Ontario, Canada
| | - Tsukasa Ishiwata
- Division of Thoracic Surgery, University Health Network, Toronto, Ontario, Canada
| | - Christian Rolfo
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Didier Schneiter
- Department of Thoracic Surgery, University Hospital Zürich, Zurich, Switzerland
| | - Georgia Hardavella
- 9th Department of Respiratory Medicine, "Sotiria" Athens Chest Diseases Hospital, Athens, Greece
| | - Matthias Guckenberger
- Department of Radiation Oncology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Olivia Lauk
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Anandakrishnan R, Shahidi R, Dai A, Antony V, Zyvoloski IJ. An approach for developing a blood-based screening panel for lung cancer based on clonal hematopoietic mutations. PLoS One 2024; 19:e0307232. [PMID: 39172974 PMCID: PMC11341013 DOI: 10.1371/journal.pone.0307232] [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: 05/01/2024] [Accepted: 07/01/2024] [Indexed: 08/24/2024] Open
Abstract
Early detection can significantly reduce mortality due to lung cancer. Presented here is an approach for developing a blood-based screening panel based on clonal hematopoietic mutations. Animal model studies suggest that clonal hematopoietic mutations in tumor infiltrating immune cells can modulate cancer progression, representing potential predictive biomarkers. The goal of this study was to determine if the clonal expansion of these mutations in blood samples could predict the occurrence of lung cancer. A set of 98 potentially pathogenic clonal hematopoietic mutations in tumor infiltrating immune cells were identified using sequencing data from lung cancer samples. These mutations were used as predictors to develop a logistic regression machine learning model. The model was tested on sequencing data from a separate set of 578 lung cancer and 545 non-cancer samples from 18 different cohorts. The logistic regression model correctly classified lung cancer and non-cancer blood samples with 94.12% sensitivity (95% Confidence Interval: 92.20-96.04%) and 85.96% specificity (95% Confidence Interval: 82.98-88.95%). Our results suggest that it may be possible to develop an accurate blood-based lung cancer screening panel using this approach. Unlike most other "liquid biopsies" currently under development, the approach presented here is based on standard sequencing protocols and uses a relatively small number of rationally selected mutations as predictors.
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Affiliation(s)
- Ramu Anandakrishnan
- Edward Via College of Osteopathic Medicine, Biomedical Sciences, Blacksburg, Virginia, United States of America
- Maryland-Virginia College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Ryan Shahidi
- Edward Via College of Osteopathic Medicine, Biomedical Sciences, Blacksburg, Virginia, United States of America
| | - Andrew Dai
- Edward Via College of Osteopathic Medicine, Biomedical Sciences, Blacksburg, Virginia, United States of America
| | - Veneeth Antony
- Edward Via College of Osteopathic Medicine, Biomedical Sciences, Blacksburg, Virginia, United States of America
| | - Ian J. Zyvoloski
- University of Maryland, Baltimore, Maryland, United States of America
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3
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Fotopoulos I, Nguyen OTD, Nøst TH, Markaki M, Lagani V, Mjelle R, Sandanger TM, Sætrom P, Tsamardinos I, Røe OD. Promising microRNAs in pre-diagnostic serum associated with lung cancer up to eight years before diagnosis: a HUNT study. J Cancer Res Clin Oncol 2024; 150:355. [PMID: 39031255 PMCID: PMC11271336 DOI: 10.1007/s00432-024-05882-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2024] [Accepted: 07/04/2024] [Indexed: 07/22/2024]
Abstract
INTRODUCTION Blood biomarkers for early detection of lung cancer (LC) are in demand. There are few studies of the full microRNome in serum of asymptomatic subjects that later develop LC. Here we searched for novel microRNA biomarkers in blood from non-cancer, ever-smokers populations up to eight years before diagnosis. METHODS Serum samples from 98,737 subjects from two prospective population studies, HUNT2 and HUNT3, were considered initially. Inclusion criteria for cases were: ever-smokers; no known cancer at study entrance; 0-8 years from blood sampling to LC diagnosis. Each future LC case had one control matched to sex, age at study entrance, pack-years, smoking cessation time, and similar HUNT Lung Cancer Model risk score. A total of 240 and 72 serum samples were included in the discovery (HUNT2) and validation (HUNT3) datasets, respectively, and analysed by next-generation sequencing. The validated serum microRNAs were also tested in two pre-diagnostic plasma datasets from the prospective population studies NOWAC (n = 266) and NSHDS (n = 258). A new model adding clinical variables was also developed and validated. RESULTS Fifteen unique microRNAs were discovered and validated in the pre-diagnostic serum datasets when all cases were contrasted against all controls, all with AUC > 0.60. In combination as a 15-microRNAs signature, the AUC reached 0.708 (discovery) and 0.703 (validation). A non-small cell lung cancer signature of six microRNAs showed AUC 0.777 (discovery) and 0.806 (validation). Combined with clinical variables of the HUNT Lung Cancer Model (age, gender, pack-years, daily cough parts of the year, hours of indoor smoke exposure, quit time in years, number of cigarettes daily, body mass index (BMI)) the AUC reached 0.790 (discovery) and 0.833 (validation). These results could not be validated in the plasma samples. CONCLUSION There were a few significantly differential expressed microRNAs in serum up to eight years before diagnosis. These promising microRNAs alone, in concert, or combined with clinical variables have the potential to serve as early diagnostic LC biomarkers. Plasma is not suitable for this analysis. Further validation in larger prospective serum datasets is needed.
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Affiliation(s)
- Ioannis Fotopoulos
- Department of Computer Science, University of Crete, 700 13, Heraklion, Crete, Greece
| | - Olav Toai Duc Nguyen
- Department of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Prinsesse Kristinas Gate 1, 7030, Trondheim, Norway
- Cancer Clinic, Levanger Hospital, Nord-Trøndelag Health Trust, Kirkegata 2, 7600, Levanger, Norway
| | - Therese Haugdahl Nøst
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, P.O. Box 6050 Langnes, 9037, Tromsø, Norway
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU-Norwegian University of Science and Technology, Postboks 8905, 7491, Trondheim, Norway
| | - Maria Markaki
- Institute of Applied and Computational Mathematics, FORTH, 700 13, Heraklion, Crete, Greece
| | - Vincenzo Lagani
- Institute of Chemical Biology, Ilia State University, 3/5, Kakuca Cholokashvili Ave, Tbilisi, Georgia
- Biological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology KAUST, Thuwal, Saudi Arabia
- SDAIA-KAUST Center of Excellence in Data Science and Artificial Intelligence, 23952, Thuwal, Saudi Arabia
| | - Robin Mjelle
- Department of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Prinsesse Kristinas Gate 1, 7030, Trondheim, Norway
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU-Norwegian University of Science and Technology, Postboks 8905, 7491, Trondheim, Norway
- Bioinformatics Core Facility, NTNU-Norwegian University of Science and Technology, 7491, Trondheim, Norway
| | - Torkjel Manning Sandanger
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, P.O. Box 6050 Langnes, 9037, Tromsø, Norway
| | - Pål Sætrom
- Department of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Prinsesse Kristinas Gate 1, 7030, Trondheim, Norway
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU-Norwegian University of Science and Technology, Postboks 8905, 7491, Trondheim, Norway
- Bioinformatics Core Facility, NTNU-Norwegian University of Science and Technology, 7491, Trondheim, Norway
- Department of Computer Science, Norwegian University of Science and Technology, 7491, Trondheim, Norway
| | - Ioannis Tsamardinos
- Department of Computer Science, University of Crete, 700 13, Heraklion, Crete, Greece
- Institute of Applied and Computational Mathematics, FORTH, 700 13, Heraklion, Crete, Greece
- JADBio Gnosis DA S.A., STEP-C, N. Plastira 100, 700-13, Heraklion, Greece
| | - Oluf Dimitri Røe
- Department of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Prinsesse Kristinas Gate 1, 7030, Trondheim, Norway.
- Cancer Clinic, Levanger Hospital, Nord-Trøndelag Health Trust, Kirkegata 2, 7600, Levanger, Norway.
- Department of Oncology and Clinical Cancer Research Center, Aalborg University Hospital, 9000, Aalborg, Denmark.
- Department of Clinical Medicine, Aalborg University Hospital, 9000, Aalborg, Denmark.
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Cuttano R, Mazzarelli F, Afanga KM, Bianchi F, Dama E. MicroRNAs and the Mediterranean diet: a nutri-omics perspective for lung cancer. J Transl Med 2024; 22:632. [PMID: 38972997 PMCID: PMC11227714 DOI: 10.1186/s12967-024-05454-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 06/30/2024] [Indexed: 07/09/2024] Open
Abstract
Lung cancer is the deadliest cancer type worldwide with ~ 1.8 million deaths per-year. Smoking accounts for ~ 85% of all cases, with a described joint effect with unhealthy diet in lung cancer risk increase. Public health policies to prevent carcinogens exposure, promote smoking cessation and advocacy for healthy nutrition, are therefore highly recommended. Here we have examined the benefits of the Mediterranean Diet (MedDiet) in protecting against some non-communicable diseases including lung cancer, highlighting the epidemiological and biomolecular aspects of MedDiet anti-inflammatory effect and its interaction with smoking habits closely linked to risk of lung cancer. Considering the high incidence and mortality rates of lung cancer, we discussed also about the global impact that a Planeterranean extension of the benefits of MedDiet could have on controlling lung cancer risk. We also debated the impact of personalized nutrition on lung cancer prevention, considering individual heterogeneity in response to diet plans as well as recent advancements on nutri-omics in lung cancer research, with a specific focus on the role of microRNAs (miRNAs) as a promising nutritional molecular hub for lung cancer prevention. We strongly believe that a deep understanding of the molecular link between food components and genetic/epigenetics factors can expand effective intervention strategies.
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Affiliation(s)
- Roberto Cuttano
- Unit of Cancer Biomarkers, Fondazione IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini Snc, 71013, San Giovanni Rotondo, Italy
| | - Francesco Mazzarelli
- Unit of Cancer Biomarkers, Fondazione IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini Snc, 71013, San Giovanni Rotondo, Italy
| | - Kuku Miriam Afanga
- Unit of Cancer Biomarkers, Fondazione IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini Snc, 71013, San Giovanni Rotondo, Italy
| | - Fabrizio Bianchi
- Unit of Cancer Biomarkers, Fondazione IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini Snc, 71013, San Giovanni Rotondo, Italy.
| | - Elisa Dama
- Unit of Cancer Biomarkers, Fondazione IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini Snc, 71013, San Giovanni Rotondo, Italy
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Hardavella G, Frille A, Sreter KB, Atrafi F, Yousaf-Khan U, Beyaz F, Kyriakou F, Bellou E, Mullin ML, Janes SM. Lung cancer screening: where do we stand? Breathe (Sheff) 2024; 20:230190. [PMID: 39193459 PMCID: PMC11348916 DOI: 10.1183/20734735.0190-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 06/19/2024] [Indexed: 08/29/2024] Open
Abstract
Lung cancer screening (LCS) programmes have emerged over recent years around the world. LCS programmes present differences in delivery, inclusion criteria and resource allocation. On a national scale, only a few LCS programmes have been fully established, but more are anticipated to follow. Evidence has shown that, in combination with a low-dose chest computed tomography scan, smoking cessation should be offered as part of a LCS programme for improved patient outcomes. Promising tools in LCS include further refined risk prediction models, the use of biomarkers, artificial intelligence and radiomics. However, these tools require further study and clinical validation is required prior to routine implementation.
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Affiliation(s)
- Georgia Hardavella
- 4th–9th Department of Respiratory Medicine, ‘Sotiria’ Athens’ Chest Diseases Hospital, Greece
| | - Armin Frille
- Department of Respiratory Medicine, University of Leipzig, Leipzig, Germany
| | | | - Florence Atrafi
- Amphia Hospital, Department of Pulmonary Medicine, Breda, The Netherlands
| | - Uraujh Yousaf-Khan
- Amphia Hospital, Department of Pulmonary Medicine, Breda, The Netherlands
| | - Ferhat Beyaz
- Department of Pulmonary Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Fotis Kyriakou
- 4th–9th Department of Respiratory Medicine, ‘Sotiria’ Athens’ Chest Diseases Hospital, Greece
| | - Elena Bellou
- 4th–9th Department of Respiratory Medicine, ‘Sotiria’ Athens’ Chest Diseases Hospital, Greece
| | - Monica L. Mullin
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Sam M. Janes
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
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Boutsikou E, Hardavella G, Fili E, Bakiri A, Gaitanakis S, Kote A, Samitas K, Gkiozos I. The Role of Biomarkers in Lung Cancer Screening. Cancers (Basel) 2024; 16:1980. [PMID: 38893101 PMCID: PMC11171002 DOI: 10.3390/cancers16111980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 03/20/2024] [Accepted: 04/01/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Lung Cancer Screening (LCS) is an evolving field with variations in its implementation in various countries. There are only scarce data from National LCS programs. AIM We aim to provide an up-to-date overview of the current evidence regarding the use of biomarkers in LCS. MATERIALS AND METHODS A multidisciplinary Task Force experts' panel collaborated and conducted a systematic literature search, followed by screening, review and synthesis of available evidence. RESULTS Biomarkers in LCS could be used to improve risk stratification in high-risk participants, improve clarification regarding indeterminate lung nodules and avoid overdiagnosis in suspicious lung findings. Currently, there seem to be promising biomarkers (blood/serum/breath) that have been studied in various trials; however, there is still a lack of solid evidence in clinical validation that would pave the way for their integration into LCS programs. CONCLUSIONS Biomarkers are the next logical step in improving the LCS pathway and its efficiency by playing an adjuvant role in a minimally invasive way. National LCS programs and pilot studies should integrate biomarkers to validate their accuracy in real-life LCS participants.
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Affiliation(s)
- Efimia Boutsikou
- Department of Respiratory Medicine and Oncology, “Theageneio” Anti-Cancer Hospital of Thessaloniki, AL. Simeonidi Str., 54639 Thessaloniki, Greece;
| | - Georgia Hardavella
- 4th–9th Department of Respiratory Medicine, “Sotiria” Athens’ Chest Diseases Hospital, 152 Mesogeion Av., 11527 Athens, Greece
| | - Eleni Fili
- Health Sciences Library, “Sotiria” Athens’ Chest Diseases Hospital, 152 Mesogeion Av., 11527 Athens, Greece;
| | - Aikaterini Bakiri
- 1st University Department of Respiratory Medicine, “Sotiria” Athens’ Chest Diseases Hospital, 152 Mesogeion Av., 11527 Athens, Greece;
| | - Stylianos Gaitanakis
- Department of Thoracic Surgery, 401 Hellenic Army Hospital, Panagiotis Kanellopoulos Av., 11525 Athens, Greece;
| | - Alexandra Kote
- 6th Department of Respiratory Medicine, “Sotiria” Athens’ Chest Diseases Hospital, 152 Mesogeion Av., 11527 Athens, Greece;
| | - Konstantinos Samitas
- 7th Department of Respiratory Medicine, “Sotiria” Athens’ Chest Diseases Hospital, 152 Mesogeion Av., 11527 Athens, Greece;
| | - Ioannis Gkiozos
- Oncology Unit, 3rd University Department of Internal Medicine, “Sotiria” Athens’ Chest Diseases Hospital, 152 Mesogeion Av., 11527 Athens, Greece;
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Boutabba A, Missaoui F, Dlala A, Kamoun H, Ben Salem K, Gabsi A, Rejeb H, Letessier A, Miotto B, Marrakchi R. Circulating miR-16-5p, miR-92a-3p and miR-451a are biomarkers of lung cancer in Tunisian patients. BMC Cancer 2024; 24:417. [PMID: 38575987 PMCID: PMC10996140 DOI: 10.1186/s12885-024-12181-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 03/26/2024] [Indexed: 04/06/2024] Open
Abstract
Lung cancer is one of the most common type of cancer and, despite significant advances in screening and diagnosis approaches, a large proportion of patients at diagnosis still present advanced stages of the disease with distant metastasis and bad prognosis. Finding and validating biomarkers of lung cancer is therefore essential. Such studies are often conducted on European, American and Asian populations and the relevance of these biomarkers in other populations remains less clear. In that prospect, we investigated the expression level of seven microRNAs, chosen from the medical literature (miR-16-5p, miR-92a-3p, miR-103a-3p, miR-375-3p, miR-451a, miR-520-3p and miR-let-7e-5p), in the blood of Tunisian lung cancer patients, treated or not by chemotherapy, and healthy control individuals. We found that high expression levels of circulating miR-16-5p, miR-92a-3p and miR-451a in the plasma of untreated patients discriminate them from healthy control individuals. In addition, miR-16-5p and miR-451a expression levels are significantly reduced in the plasma of chemotherapy-treated patients compared to untreated patients. Our results confirmed previous work in other populations worldwide and provide further evidence that circulating miR-16-5p, miR-92a-3p and miR-451a potentially regulate key pathways involved in the initiation and progression of cancer.
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Affiliation(s)
- Alya Boutabba
- Laboratory of genetics, immunology, and human pathologies, LR05ES05, Faculty of sciences, University of Tunis El-Manar - Campus Universitaire El-Manar, El-Manar Tunis, 2092, Tunisia
| | - Fadoua Missaoui
- Laboratory of genetics, immunology, and human pathologies, LR05ES05, Faculty of sciences, University of Tunis El-Manar - Campus Universitaire El-Manar, El-Manar Tunis, 2092, Tunisia
| | - Akram Dlala
- Laboratory of genetics, immunology, and human pathologies, LR05ES05, Faculty of sciences, University of Tunis El-Manar - Campus Universitaire El-Manar, El-Manar Tunis, 2092, Tunisia
| | - Hela Kamoun
- Ibn Nafiss Pneumology Department, Abderrahmen Mami Hospital, Ariana, Tunisia
- Faculty of medicine, University Tunis El-Manar, Tunis, Tunisia
| | - Khalil Ben Salem
- Laboratory of genetics, immunology, and human pathologies, LR05ES05, Faculty of sciences, University of Tunis El-Manar - Campus Universitaire El-Manar, El-Manar Tunis, 2092, Tunisia
| | - Amira Gabsi
- Laboratory of genetics, immunology, and human pathologies, LR05ES05, Faculty of sciences, University of Tunis El-Manar - Campus Universitaire El-Manar, El-Manar Tunis, 2092, Tunisia
| | - Hadhemi Rejeb
- Ibn Nafiss Pneumology Department, Abderrahmen Mami Hospital, Ariana, Tunisia
- Faculty of medicine, University Tunis El-Manar, Tunis, Tunisia
| | - Anne Letessier
- Université Paris Cité, INSERM, U1016, CNRS, UMR8104, Institut Cochin, Paris, F-75014, France
- Team "Epigenetics, DNA replication and Cancer", Institut Cochin, Paris, France
| | - Benoit Miotto
- Université Paris Cité, INSERM, U1016, CNRS, UMR8104, Institut Cochin, Paris, F-75014, France.
- Team "Epigenetics, DNA replication and Cancer", Institut Cochin, Paris, France.
| | - Raja Marrakchi
- Laboratory of genetics, immunology, and human pathologies, LR05ES05, Faculty of sciences, University of Tunis El-Manar - Campus Universitaire El-Manar, El-Manar Tunis, 2092, Tunisia
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Quanyang W, Yao H, Sicong W, Linlin Q, Zewei Z, Donghui H, Hongjia L, Shijun Z. Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis. Cancer Med 2024; 13:e7140. [PMID: 38581113 PMCID: PMC10997848 DOI: 10.1002/cam4.7140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 03/15/2024] [Accepted: 03/16/2024] [Indexed: 04/08/2024] Open
Abstract
BACKGROUND The exceptional capabilities of artificial intelligence (AI) in extracting image information and processing complex models have led to its recognition across various medical fields. With the continuous evolution of AI technologies based on deep learning, particularly the advent of convolutional neural networks (CNNs), AI presents an expanded horizon of applications in lung cancer screening, including lung segmentation, nodule detection, false-positive reduction, nodule classification, and prognosis. METHODOLOGY This review initially analyzes the current status of AI technologies. It then explores the applications of AI in lung cancer screening, including lung segmentation, nodule detection, and classification, and assesses the potential of AI in enhancing the sensitivity of nodule detection and reducing false-positive rates. Finally, it addresses the challenges and future directions of AI in lung cancer screening. RESULTS AI holds substantial prospects in lung cancer screening. It demonstrates significant potential in improving nodule detection sensitivity, reducing false-positive rates, and classifying nodules, while also showing value in predicting nodule growth and pathological/genetic typing. CONCLUSIONS AI offers a promising supportive approach to lung cancer screening, presenting considerable potential in enhancing nodule detection sensitivity, reducing false-positive rates, and classifying nodules. However, the universality and interpretability of AI results need further enhancement. Future research should focus on the large-scale validation of new deep learning-based algorithms and multi-center studies to improve the efficacy of AI in lung cancer screening.
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Affiliation(s)
- Wu Quanyang
- Department of Diagnostic RadiologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Huang Yao
- Department of Diagnostic RadiologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Wang Sicong
- Magnetic Resonance Imaging ResearchGeneral Electric Healthcare (China)BeijingChina
| | - Qi Linlin
- Department of Diagnostic RadiologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Zhang Zewei
- PET‐CT CenterNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Hou Donghui
- Department of Diagnostic RadiologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Li Hongjia
- PET‐CT CenterNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Zhao Shijun
- Department of Diagnostic RadiologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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Nemeth K, Bayraktar R, Ferracin M, Calin GA. Non-coding RNAs in disease: from mechanisms to therapeutics. Nat Rev Genet 2024; 25:211-232. [PMID: 37968332 DOI: 10.1038/s41576-023-00662-1] [Citation(s) in RCA: 71] [Impact Index Per Article: 71.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/19/2023] [Indexed: 11/17/2023]
Abstract
Non-coding RNAs (ncRNAs) are a heterogeneous group of transcripts that, by definition, are not translated into proteins. Since their discovery, ncRNAs have emerged as important regulators of multiple biological functions across a range of cell types and tissues, and their dysregulation has been implicated in disease. Notably, much research has focused on the link between microRNAs (miRNAs) and human cancers, although other ncRNAs, such as long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), are also emerging as relevant contributors to human disease. In this Review, we summarize our current understanding of the roles of miRNAs, lncRNAs and circRNAs in cancer and other major human diseases, notably cardiovascular, neurological and infectious diseases. Further, we discuss the potential use of ncRNAs as biomarkers of disease and as therapeutic targets.
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Affiliation(s)
- Kinga Nemeth
- Translational Molecular Pathology Department, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Recep Bayraktar
- Translational Molecular Pathology Department, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Manuela Ferracin
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
| | - George A Calin
- Translational Molecular Pathology Department, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- The RNA Interference and Non-coding RNA Center, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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10
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Jehn J, Trudzinski F, Horos R, Schenz J, Uhle F, Weigand MA, Frank M, Kahraman M, Heuvelman M, Sikosek T, Rajakumar T, Gerwing J, Skottke J, Daniel-Moreno A, Rudolf C, Hinkfoth F, Tikk K, Christopoulos P, Klotz LV, Winter H, Kreuter M, Steinkraus BR. miR-Blood - a small RNA atlas of human blood components. Sci Data 2024; 11:164. [PMID: 38307869 PMCID: PMC10837159 DOI: 10.1038/s41597-024-02976-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 01/16/2024] [Indexed: 02/04/2024] Open
Abstract
miR-Blood is a high-quality, small RNA expression atlas for the major components of human peripheral blood (plasma, erythrocytes, thrombocytes, monocytes, neutrophils, eosinophils, basophils, natural killer cells, CD4+ T cells, CD8+ T cells, and B cells). Based on the purified blood components from 52 individuals, the dataset provides a comprehensive repository for the expression of 4971 small RNAs from eight non-coding RNA classes.
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Affiliation(s)
- Julia Jehn
- Hummingbird Diagnostics GmbH, Im Neuenheimer Feld 583, 69120, Heidelberg, Germany
| | - Franziska Trudzinski
- Center for Interstitial and Rare Lung Diseases, Thoraxklinik, University of Heidelberg, and German Center for Lung Research (DZL), Heidelberg, Germany
| | - Rastislav Horos
- Hummingbird Diagnostics GmbH, Im Neuenheimer Feld 583, 69120, Heidelberg, Germany
| | - Judith Schenz
- Department of Anesthesiology, Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - Florian Uhle
- Department of Anesthesiology, Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - Markus A Weigand
- Department of Anesthesiology, Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - Maurice Frank
- Hummingbird Diagnostics GmbH, Im Neuenheimer Feld 583, 69120, Heidelberg, Germany
| | - Mustafa Kahraman
- Hummingbird Diagnostics GmbH, Im Neuenheimer Feld 583, 69120, Heidelberg, Germany
| | - Marco Heuvelman
- Hummingbird Diagnostics GmbH, Im Neuenheimer Feld 583, 69120, Heidelberg, Germany
| | - Tobias Sikosek
- Hummingbird Diagnostics GmbH, Im Neuenheimer Feld 583, 69120, Heidelberg, Germany
| | - Timothy Rajakumar
- Hummingbird Diagnostics GmbH, Im Neuenheimer Feld 583, 69120, Heidelberg, Germany
| | - Jennifer Gerwing
- Hummingbird Diagnostics GmbH, Im Neuenheimer Feld 583, 69120, Heidelberg, Germany
| | - Jasmin Skottke
- Hummingbird Diagnostics GmbH, Im Neuenheimer Feld 583, 69120, Heidelberg, Germany
| | | | - Christina Rudolf
- Hummingbird Diagnostics GmbH, Im Neuenheimer Feld 583, 69120, Heidelberg, Germany
| | - Franziska Hinkfoth
- Hummingbird Diagnostics GmbH, Im Neuenheimer Feld 583, 69120, Heidelberg, Germany
| | - Kaja Tikk
- Hummingbird Diagnostics GmbH, Im Neuenheimer Feld 583, 69120, Heidelberg, Germany
| | - Petros Christopoulos
- Department of Thoracic Oncology, Thoraxklinik, University of Heidelberg, Translational Lung Research Center Heidelberg (TLRC-H), and German Center for Lung Research (DZL), Heidelberg, Germany
| | - Laura V Klotz
- Department of Thoracic Surgery, Thoraxklinik, University of Heidelberg, Translational Lung Research Center Heidelberg (TLRC-H), and German Center for Lung Research (DZL), Heidelberg, Germany
| | - Hauke Winter
- Department of Thoracic Surgery, Thoraxklinik, University of Heidelberg, Translational Lung Research Center Heidelberg (TLRC-H), and German Center for Lung Research (DZL), Heidelberg, Germany
| | - Michael Kreuter
- Center for Interstitial and Rare Lung Diseases, Thoraxklinik, University of Heidelberg, and German Center for Lung Research (DZL), Heidelberg, Germany
| | - Bruno R Steinkraus
- Hummingbird Diagnostics GmbH, Im Neuenheimer Feld 583, 69120, Heidelberg, Germany.
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11
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Antonicelli A, Muriana P, Favaro G, Mangiameli G, Lanza E, Profili M, Bianchi F, Fina E, Ferrante G, Ghislandi S, Pistillo D, Finocchiaro G, Condorelli G, Lembo R, Novellis P, Dieci E, De Santis S, Veronesi G. The Smokers Health Multiple ACtions (SMAC-1) Trial: Study Design and Results of the Baseline Round. Cancers (Basel) 2024; 16:417. [PMID: 38254906 PMCID: PMC10814085 DOI: 10.3390/cancers16020417] [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] [Received: 11/12/2023] [Revised: 01/13/2024] [Accepted: 01/15/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Lung cancer screening with low-dose helical computed tomography (LDCT) reduces mortality in high-risk subjects. Cigarette smoking is linked to up to 90% of lung cancer deaths. Even more so, it is a key risk factor for many other cancers and cardiovascular and pulmonary diseases. The Smokers health Multiple ACtions (SMAC-1) trial aimed to demonstrate the feasibility and effectiveness of an integrated program based on the early detection of smoking-related thoraco-cardiovascular diseases in high-risk subjects, combined with primary prevention. A new multi-component screening design was utilized to strengthen the framework on conventional lung cancer screening programs. We report here the study design and the results from our baseline round, focusing on oncological findings. METHODS High-risk subjects were defined as being >55 years of age and active smokers or formers who had quit within 15 years (>30 pack/y). A PLCOm2012 threshold >2% was chosen. Subject outreach was streamlined through media campaign and general practitioners' engagement. Eligible subjects, upon written informed consent, underwent a psychology consultation, blood sample collection, self-evaluation questionnaire, spirometry, and LDCT scan. Blood samples were analyzed for pentraxin-3 protein levels, interleukins, microRNA, and circulating tumor cells. Cardiovascular risk assessment and coronary artery calcium (CAC) scoring were performed. Direct and indirect costs were analyzed focusing on the incremental cost-effectiveness ratio per quality-adjusted life years gained in different scenarios. Personalized screening time-intervals were determined using the "Maisonneuve risk re-calculation model", and a threshold <0.6% was chosen for the biennial round. RESULTS In total, 3228 subjects were willing to be enrolled. Out of 1654 eligible subjects, 1112 participated. The mean age was 64 years (M/F 62/38%), with a mean PLCOm2012 of 5.6%. Former and active smokers represented 23% and 77% of the subjects, respectively. At least one nodule was identified in 348 subjects. LDCTs showed no clinically significant findings in 762 subjects (69%); thus, they were referred for annual/biennial LDCTs based on the Maisonneuve risk (mean value = 0.44%). Lung nodule active surveillance was indicated for 122 subjects (11%). Forty-four subjects with baseline suspicious nodules underwent a PET-FDG and twenty-seven a CT-guided lung biopsy. Finally, a total of 32 cancers were diagnosed, of which 30 were lung cancers (2.7%) and 2 were extrapulmonary cancers (malignant pleural mesothelioma and thymoma). Finally, 25 subjects underwent lung surgery (2.25%). Importantly, there were zero false positives and two false negatives with CT-guided biopsy, of which the patients were operated on with no stage shift. The final pathology included lung adenocarcinomas (69%), squamous cell carcinomas (10%), and others (21%). Pathological staging showed 14 stage I (47%) and 16 stage II-IV (53%) cancers. CONCLUSIONS LDCTs continue to confirm their efficacy in safely detecting early-stage lung cancer in high-risk subjects, with a negligible risk of false-positive results. Re-calculating the risk of developing lung cancer after baseline LDCTs with the Maisonneuve model allows us to optimize time intervals to subsequent screening. The Smokers health Multiple ACtions (SMAC-1) trial offers solid support for policy assessments by policymakers. We trust that this will help in developing guidelines for the large-scale implementation of lung cancer screening, paving the way for better outcomes for lung cancer patients.
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Affiliation(s)
- Alberto Antonicelli
- Faculty of Medicine and Surgery, School of Thoracic Surgery, Università Vita-Salute San Raffaele, 20132 Milan, Italy; (A.A.); (G.V.)
- Department of Thoracic Surgery, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (P.N.); (E.D.); (S.D.S.)
| | - Piergiorgio Muriana
- Department of Thoracic Surgery, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (P.N.); (E.D.); (S.D.S.)
| | - Giovanni Favaro
- Department of Anesthesia and Intensive Care, IRCCS Istituto Oncologico Veneto (IOV), 35128 Padua, Italy;
| | - Giuseppe Mangiameli
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy; (G.M.); (E.F.)
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Italy; (E.L.); (G.F.); (G.C.)
| | - Ezio Lanza
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Italy; (E.L.); (G.F.); (G.C.)
- Department of Interventional Radiology, IRCCS Humanitas Clinical and Research Center, 20089 Rozzano, Italy;
| | - Manuel Profili
- Department of Interventional Radiology, IRCCS Humanitas Clinical and Research Center, 20089 Rozzano, Italy;
| | - Fabrizio Bianchi
- Unit of Cancer Biomarkers, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy;
| | - Emanuela Fina
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy; (G.M.); (E.F.)
| | - Giuseppe Ferrante
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Italy; (E.L.); (G.F.); (G.C.)
- Cardio Center, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy
| | - Simone Ghislandi
- CERGAS and Department of Social and Political Sciences, Bocconi University, 20136 Milan, Italy;
| | - Daniela Pistillo
- Center for Biological Resources, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy;
| | - Giovanna Finocchiaro
- Department of Medical Oncology, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy;
| | - Gianluigi Condorelli
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Italy; (E.L.); (G.F.); (G.C.)
- Cardio Center, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy
| | - Rosalba Lembo
- Department of Anesthesia and Intensive Care, Section of Biostatistics, Università Vita-Salute San Raffaele, 20132 Milan, Italy;
| | - Pierluigi Novellis
- Department of Thoracic Surgery, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (P.N.); (E.D.); (S.D.S.)
| | - Elisa Dieci
- Department of Thoracic Surgery, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (P.N.); (E.D.); (S.D.S.)
| | - Simona De Santis
- Department of Thoracic Surgery, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (P.N.); (E.D.); (S.D.S.)
| | - Giulia Veronesi
- Faculty of Medicine and Surgery, School of Thoracic Surgery, Università Vita-Salute San Raffaele, 20132 Milan, Italy; (A.A.); (G.V.)
- Department of Thoracic Surgery, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (P.N.); (E.D.); (S.D.S.)
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12
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Bhalla S, Yi S, Gerber DE. Emerging Strategies in Lung Cancer Screening: Blood and Beyond. Clin Chem 2024; 70:60-67. [PMID: 38175587 PMCID: PMC11161198 DOI: 10.1093/clinchem/hvad137] [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: 03/07/2023] [Accepted: 08/02/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Although low dose computed tomography (LDCT)-based lung cancer screening (LCS) can decrease lung cancer-related mortality among high-risk individuals, it remains an imperfect and substantially underutilized process. LDCT-based LCS may result in false-positive findings, which can lead to invasive procedures and potential morbidity. Conversely, current guidelines may fail to capture at-risk individuals, particularly those from under-represented minority populations. To address these limitations, numerous biomarkers have emerged to complement LDCT and improve early lung cancer detection. CONTENT This review focuses primarily on blood-based biomarkers, including protein, microRNAs, circulating DNA, and methylated DNA panels, in current clinical development for LCS. We also examine other emerging biomarkers-utilizing airway epithelia, exhaled breath, sputum, and urine-under investigation. We highlight challenges and limitations of biomarker testing, as well as recent strategies to integrate molecular strategies with imaging technologies. SUMMARY Multiple biomarkers are under active investigation for LCS, either to improve risk-stratification after nodule detection or to optimize risk-based patient selection for LDCT-based screening. Results from ongoing and future clinical trials will elucidate the clinical utility of biomarkers in the LCS paradigm.
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Affiliation(s)
- Sheena Bhalla
- Department of Internal Medicine (Division of Hematology-Oncology), UT Southwestern Medical Center, Dallas, TX, United States
- Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, United States
| | - Sofia Yi
- School of Medicine, UT Southwestern Medical Center, Dallas, TX, United States
| | - David E Gerber
- Department of Internal Medicine (Division of Hematology-Oncology), UT Southwestern Medical Center, Dallas, TX, United States
- Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, United States
- Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX, United States
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13
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Zyla J, Dziadziuszko R, Marczyk M, Sitkiewicz M, Szczepanowska M, Bottoni E, Veronesi G, Rzyman W, Polanska J, Widlak P. miR-122 and miR-21 are Stable Components of miRNA Signatures of Early Lung Cancer after Validation in Three Independent Cohorts. J Mol Diagn 2024; 26:37-48. [PMID: 37865291 DOI: 10.1016/j.jmoldx.2023.09.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/15/2023] [Accepted: 09/28/2023] [Indexed: 10/23/2023] Open
Abstract
Several panels of circulating miRNAs have been reported as potential biomarkers of early lung cancer, yet the overlap of components between different panels is limited, and the universality of proposed biomarkers has been minimal across proposed panels. To assess the stability of the diagnostic potential of plasma miRNA signature of early lung cancer among different cohorts, a panel of 24 miRNAs tested in the frame of one lung cancer screening study (MOLTEST-2013, Poland) was validated with material collected in the frame of two other screening studies (MOLTEST-BIS, Poland; and SMAC, Italy) using the same standardized analytical platform (the miRCURY LNA miRNA PCR assay). On analysis of selected miRNAs, two associated with lung cancer development, miR-122 and miR-21, repetitively differentiated healthy participants from individuals with lung cancer. Additionally, miR-144 differentiated controls from cases specifically in subcohorts with adenocarcinoma. Other tested miRNAs did not overlap in the three cohorts. Classification models based on neither a single miRNA nor multicomponent miRNA panels (24-mer and 7-mer) showed classification performance sufficient for a standalone diagnostic biomarker (AUC, 75%, 71%, and 53% in MOLTEST-2013, SMAC, and MOLTEST-BIS, respectively, in the 7-mer model). The performance of classification in the MOLTEST-BIS cohort with the lowest contribution of adenocarcinomas was increased when only this cancer type was considered (AUC, 60% in 7-mer model).
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Affiliation(s)
- Joanna Zyla
- Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland
| | | | - Michal Marczyk
- Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland; Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut
| | | | | | | | - Giulia Veronesi
- School of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy; Department of Thoracic Surgery, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Joanna Polanska
- Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland.
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14
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van den Broek D, Groen HJM. Screening approaches for lung cancer by blood-based biomarkers: Challenges and opportunities. Tumour Biol 2024; 46:S65-S80. [PMID: 37393461 DOI: 10.3233/tub-230004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/03/2023] Open
Abstract
Lung cancer (LC) is one of the leading causes for cancer-related deaths in the world, accounting for 28% of all cancer deaths in Europe. Screening for lung cancer can enable earlier detection of LC and reduce lung cancer mortality as was demonstrated in several large image-based screening studies such as the NELSON and the NLST. Based on these studies, screening is recommended in the US and in the UK a targeted lung health check program was initiated. In Europe lung cancer screening (LCS) has not been implemented due to limited data on cost-effectiveness in the different health care systems and questions on for example the selection of high-risk individuals, adherence to screening, management of indeterminate nodules, and risk of overdiagnosis. Liquid biomarkers are considered to have a high potential to address these questions by supporting pre- and post- Low Dose CT (LDCT) risk-assessment thereby improving the overall efficacy of LCS. A wide variety of biomarkers, including cfDNA, miRNA, proteins and inflammatory markers have been studied in the context of LCS. Despite the available data, biomarkers are currently not implemented or evaluated in screening studies or screening programs. As a result, it remains an open question which biomarker will actually improve a LCS program and do this against acceptable costs. In this paper we discuss the current status of different promising biomarkers and the challenges and opportunities of blood-based biomarkers in the context of lung cancer screening.
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Affiliation(s)
- Daniel van den Broek
- Department of laboratory Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands
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15
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Zhu G, Li D, Wang X, Guo Q, Zhao Y, Hou W, Li J, Zheng Q. Drug monomers from Salvia miltiorrhiza Bge. promoting tight junction protein expression for therapeutic effects on lung cancer. Sci Rep 2023; 13:22928. [PMID: 38129556 PMCID: PMC10739844 DOI: 10.1038/s41598-023-50163-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 12/15/2023] [Indexed: 12/23/2023] Open
Abstract
Salvia miltiorrhiza Bge. is a traditional Chinese medicine (TCM) that has been used for treatment of various diseases, including cancer by activating blood circulation and removing blood stasis. Tanshinone (TanIIA) and cryptotanshinone (CPT) are major lipophilic compounds extracted from the root of Salvia miltiorrhiza Bge., which are considered to be the effective compounds affecting the efficacy of the anti-tumor therapy of Salvia miltiorrhiza Bge. We have explored the mechanism of CPT and TanIIA exerting inhibition in non-small cell lung cancer (NSCLC) to provide experimental data support for guiding the translational development and clinical application of anti-tumor components of TCM. The subcutaneous tumor model and in vitro culture model of A549 cells was constructed to evaluate CPT and TanIIA's tumour-inhibitory effect respectively. RNA sequencing (RNA-seq) and bioinformatics analysis were conducted to identify differentially expressed genes (DEGs) and signalling pathways related to CPT and TanIIA treatment. qRT-PCR and Western blot were used to explore the mechanism of CPT and TanIIA intervention on NSCLC. Both CPT and TanIIA significantly inhibited the proliferation of A549 tumor cells and tumor growth in animal models. After intervention, the migration ability decreased and the level of apoptosis increased. RNA-seq results showed that both CPT and TanIIA could cause gene differential expression, miR-21-5p as one of the most significant gene expression differences between the two groups, and could act on cell connectivity. CPT and TanIIA play a regulatory role in regulating tight junction proteins (Occludin and ZO1), and Occludin mRNA and protein levels were reduced in an in vitro miR-21-5p overexpression A549 cell model. The mechanisms may be related to the reduction of miR-21-5p expression to increase the level of promoted tight junction protein expression for the purpose of inhibiting proliferation and invasion of NSCLC.
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Affiliation(s)
- Guanghui Zhu
- Oncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Daorui Li
- Oncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Xueqian Wang
- Oncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Qiujun Guo
- Oncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Yuanchen Zhao
- Oncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Wei Hou
- Oncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Jie Li
- Oncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Qi Zheng
- Oncology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
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16
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Susai CJ, Velotta JB, Sakoda LC. Clinical Adjuncts to Lung Cancer Screening: A Narrative Review. Thorac Surg Clin 2023; 33:421-432. [PMID: 37806744 PMCID: PMC10926946 DOI: 10.1016/j.thorsurg.2023.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
The updated US Preventive Services Task Force guidelines on lung cancer screening have significantly expanded the population of screening eligible adults, among whom the balance of benefits and harms associated with lung cancer screening vary considerably. Clinical adjuncts are additional information and tools that can guide decision-making to optimally screen individuals who are most likely to benefit. Proposed adjuncts include integration of clinical history, risk prediction models, shared-decision-making tools, and biomarker tests at key steps in the screening process. Although evidence regarding their clinical utility and implementation is still evolving, they carry significant promise in optimizing screening effectiveness and efficiency for lung cancer.
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Affiliation(s)
- Cynthia J Susai
- UCSF East Bay General Surgery, 1411 East 31st Street QIC 22134, Oakland, CA 94612, USA
| | - Jeffrey B Velotta
- Department of Thoracic Surgery, Kaiser Permanente Northern California, 3600 Broadway, Oakland, CA 94611, USA
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, USA.
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17
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Abstract
Several randomized and observational studies on lung cancer screening held in Europe significantly contributed to the knowledge on low-dose computed tomography screening targets in high-risk individuals with smoking history and older than 50 years. In particular, steps forward have been made in the field of risk modeling, screening interval, diagnostic protocol with volumetry, optimization, overdiagnosis estimation, oncological outcome, oncological risk due to radiation exposure, recruitment, and communication strategy.
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Affiliation(s)
- Piergiorgio Muriana
- Department of Thoracic Surgery, San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy
| | - Francesca Rossetti
- Department of Thoracic Surgery, San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy
| | - Pierluigi Novellis
- Department of Thoracic Surgery, San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy
| | - Giulia Veronesi
- Department of Thoracic Surgery, San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy; School of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 48, Milan 20132, Italy.
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18
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Batool SM, Yekula A, Khanna P, Hsia T, Gamblin AS, Ekanayake E, Escobedo AK, You DG, Castro CM, Im H, Kilic T, Garlin MA, Skog J, Dinulescu DM, Dudley J, Agrawal N, Cheng J, Abtin F, Aberle DR, Chia D, Elashoff D, Grognan T, Krysan K, Oh SS, Strom C, Tu M, Wei F, Xian RR, Skates SJ, Zhang DY, Trinh T, Watson M, Aft R, Rawal S, Agarwal A, Kesmodel SB, Yang C, Shen C, Hochberg FH, Wong DTW, Patel AA, Papadopoulos N, Bettegowda C, Cote RJ, Srivastava S, Lee H, Carter BS, Balaj L. The Liquid Biopsy Consortium: Challenges and opportunities for early cancer detection and monitoring. Cell Rep Med 2023; 4:101198. [PMID: 37716353 PMCID: PMC10591039 DOI: 10.1016/j.xcrm.2023.101198] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 12/01/2022] [Accepted: 08/22/2023] [Indexed: 09/18/2023]
Abstract
The emerging field of liquid biopsy stands at the forefront of novel diagnostic strategies for cancer and other diseases. Liquid biopsy allows minimally invasive molecular characterization of cancers for diagnosis, patient stratification to therapy, and longitudinal monitoring. Liquid biopsy strategies include detection and monitoring of circulating tumor cells, cell-free DNA, and extracellular vesicles. In this review, we address the current understanding and the role of existing liquid-biopsy-based modalities in cancer diagnostics and monitoring. We specifically focus on the technical and clinical challenges associated with liquid biopsy and biomarker development being addressed by the Liquid Biopsy Consortium, established through the National Cancer Institute. The Liquid Biopsy Consortium has developed new methods/assays and validated existing methods/technologies to capture and characterize tumor-derived circulating cargo, as well as addressed existing challenges and provided recommendations for advancing biomarker assays.
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Affiliation(s)
| | - Anudeep Yekula
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Prerna Khanna
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Tiffaney Hsia
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Austin S Gamblin
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Emil Ekanayake
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ana K Escobedo
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Dong Gil You
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Cesar M Castro
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hyungsoon Im
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Tugba Kilic
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Johan Skog
- Exosome Diagnostics Inc., Waltham, MA, USA
| | | | - Jonathan Dudley
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Jordan Cheng
- University of California Los Angeles, Los Angeles, CA, USA
| | | | | | - David Chia
- University of California Los Angeles, Los Angeles, CA, USA
| | - David Elashoff
- University of California Los Angeles, Los Angeles, CA, USA
| | | | | | - Scott S Oh
- University of California Los Angeles, Los Angeles, CA, USA
| | - Charles Strom
- University of California Los Angeles, Los Angeles, CA, USA
| | - Michael Tu
- Liquid Diagnostics LLC., Los Angeles, CA, USA
| | - Fang Wei
- University of California Los Angeles, Los Angeles, CA, USA
| | - Rena R Xian
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Steven J Skates
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Thi Trinh
- Yale University School of Medicine, New Haven, CT, USA
| | - Mark Watson
- Washington University School of Medicine, St. Louis, MO, USA
| | - Rebecca Aft
- Washington University School of Medicine, St. Louis, MO, USA
| | - Siddarth Rawal
- Washington University School of Medicine, St. Louis, MO, USA; Circulogix Inc., St. Louis, MO, USA
| | | | | | | | - Cheng Shen
- California Institute of Technology, Pasadena, CA, USA
| | | | - David T W Wong
- University of California Los Angeles, Los Angeles, CA, USA
| | | | | | | | - Richard J Cote
- Washington University School of Medicine, St. Louis, MO, USA; Circulogix Inc., St. Louis, MO, USA
| | - Sudhir Srivastava
- Cancer Biomarkers Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA
| | - Hakho Lee
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Bob S Carter
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Leonora Balaj
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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19
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Chouari T, Merali N, La Costa F, Santol J, Chapman S, Horton A, Aroori S, Connell J, Rockall TA, Mole D, Starlinger P, Welsh F, Rees M, Frampton AE. The Role of the Multiparametric MRI LiverMultiScan TM in the Quantitative Assessment of the Liver and Its Predicted Clinical Applications in Patients Undergoing Major Hepatic Resection for Colorectal Liver Metastasis. Cancers (Basel) 2023; 15:4863. [PMID: 37835557 PMCID: PMC10571783 DOI: 10.3390/cancers15194863] [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] [Received: 04/11/2023] [Revised: 08/05/2023] [Accepted: 10/02/2023] [Indexed: 10/15/2023] Open
Abstract
Liver biopsy remains the gold standard for the histological assessment of the liver. With clear disadvantages and the rise in the incidences of liver disease, the role of neoadjuvant chemotherapy in colorectal liver metastasis (CRLM) and an explosion of surgical management options available, non-invasive serological and imaging markers of liver histopathology have never been more pertinent in order to assess liver health and stratify patients considered for surgical intervention. Liver MRI is a leading modality in the assessment of hepatic malignancy. Recent technological advancements in multiparametric MRI software such as the LiverMultiScanTM offers an attractive non-invasive assay of anatomy and histopathology in the pre-operative setting, especially in the context of CRLM. This narrative review examines the evidence for the LiverMultiScanTM in the assessment of hepatic fibrosis, steatosis/steatohepatitis, and potential applications for chemotherapy-associated hepatic changes. We postulate its future role and the hurdles it must surpass in order to be implemented in the pre-operative management of patients undergoing hepatic resection for colorectal liver metastasis. Such a role likely extends to other hepatic malignancies planned for resection.
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Affiliation(s)
- Tarak Chouari
- MATTU, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, UK; (T.C.)
- Department of Hepato-Pancreato-Biliary (HPB) Surgery, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
- Oncology Section, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7WG, UK
| | - Nabeel Merali
- MATTU, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, UK; (T.C.)
- Department of Hepato-Pancreato-Biliary (HPB) Surgery, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
- Oncology Section, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7WG, UK
| | - Francesca La Costa
- Department of Hepato-Pancreato-Biliary (HPB) Surgery, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
| | - Jonas Santol
- Department of Surgery, HPB Center, Vienna Health Network, Clinic Favoriten and Sigmund Freud Private University, 1090 Vienna, Austria
- Institute of Vascular Biology and Thrombosis Research, Center of Physiology and Pharmacology, Medical University of Vienna, 1090 Vienna, Austria
| | - Shelley Chapman
- Department of Radiology, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
| | - Alex Horton
- Department of Radiology, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
| | - Somaiah Aroori
- Department of Surgery, Division of Hepatobiliary and Pancreatic Surgery and Transplant Surgery, Derriford Hospital, Plymouth PL6 8DH, UK
| | | | - Timothy A. Rockall
- MATTU, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, UK; (T.C.)
- Oncology Section, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7WG, UK
| | - Damian Mole
- Clinical Surgery, Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh EH10 5HF, UK
- Centre for Inflammation Research, University of Edinburgh, Queen’s Medical Research Institute, Edinburgh EH105HF, UK
| | - Patrick Starlinger
- Department of Surgery, Division of Hepatobiliary and Pancreatic Surgery, Mayo Clinic, Rochester, MN 55902, USA
- Center of Physiology and Pharmacology, Medical University of Vienna, 1090 Vienna, Austria
- Department of Surgery, Medical University of Vienna, General Hospital, 1090 Vienna, Austria
| | - Fenella Welsh
- Hepato-Biliary Unit, Hampshire Hospitals Foundation Trust, Basingstoke, Hampshire RG24 9NA, UK
| | - Myrddin Rees
- Hepato-Biliary Unit, Hampshire Hospitals Foundation Trust, Basingstoke, Hampshire RG24 9NA, UK
| | - Adam E. Frampton
- MATTU, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, UK; (T.C.)
- Department of Hepato-Pancreato-Biliary (HPB) Surgery, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
- Oncology Section, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7WG, UK
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20
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Feng X, Wu WYY, Onwuka JU, Haider Z, Alcala K, Smith-Byrne K, Zahed H, Guida F, Wang R, Bassett JK, Stevens V, Wang Y, Weinstein S, Freedman ND, Chen C, Tinker L, Nøst TH, Koh WP, Muller D, Colorado-Yohar SM, Tumino R, Hung RJ, Amos CI, Lin X, Zhang X, Arslan AA, Sánchez MJ, Sørgjerd EP, Severi G, Hveem K, Brennan P, Langhammer A, Milne RL, Yuan JM, Melin B, Johansson M, Robbins HA, Johansson M. Lung cancer risk discrimination of prediagnostic proteomics measurements compared with existing prediction tools. J Natl Cancer Inst 2023; 115:1050-1059. [PMID: 37260165 PMCID: PMC10483263 DOI: 10.1093/jnci/djad071] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 04/05/2023] [Accepted: 04/08/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND We sought to develop a proteomics-based risk model for lung cancer and evaluate its risk-discriminatory performance in comparison with a smoking-based risk model (PLCOm2012) and a commercially available autoantibody biomarker test. METHODS We designed a case-control study nested in 6 prospective cohorts, including 624 lung cancer participants who donated blood samples at most 3 years prior to lung cancer diagnosis and 624 smoking-matched cancer free participants who were assayed for 302 proteins. We used 470 case-control pairs from 4 cohorts to select proteins and train a protein-based risk model. We subsequently used 154 case-control pairs from 2 cohorts to compare the risk-discriminatory performance of the protein-based model with that of the Early Cancer Detection Test (EarlyCDT)-Lung and the PLCOm2012 model using receiver operating characteristics analysis and by estimating models' sensitivity. All tests were 2-sided. RESULTS The area under the curve for the protein-based risk model in the validation sample was 0.75 (95% confidence interval [CI] = 0.70 to 0.81) compared with 0.64 (95% CI = 0.57 to 0.70) for the PLCOm2012 model (Pdifference = .001). The EarlyCDT-Lung had a sensitivity of 14% (95% CI = 8.2% to 19%) and a specificity of 86% (95% CI = 81% to 92%) for incident lung cancer. At the same specificity of 86%, the sensitivity for the protein-based risk model was estimated at 49% (95% CI = 41% to 57%) and 30% (95% CI = 23% to 37%) for the PLCOm2012 model. CONCLUSION Circulating proteins showed promise in predicting incident lung cancer and outperformed a standard risk prediction model and the commercialized EarlyCDT-Lung.
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Affiliation(s)
- Xiaoshuang Feng
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Wendy Yi-Ying Wu
- Department of Radiation Sciences, Oncology, Umea University, Umea, Sweden
| | | | - Zahra Haider
- Department of Radiation Sciences, Oncology, Umea University, Umea, Sweden
| | - Karine Alcala
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | | | - Hana Zahed
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Florence Guida
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Julie K Bassett
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Victoria Stevens
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Ying Wang
- American Cancer Society, Atlanta, GA, USA
| | - Stephanie Weinstein
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Chu Chen
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Lesley Tinker
- Women’s Health Initiative Clinical Coordinating Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Therese Haugdahl Nøst
- Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | - David Muller
- Division of Genetic Medicine, Imperial College London School of Public Health, London, UK
| | - Sandra M Colorado-Yohar
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE ONLUS Ragusa, Ragusa, Italy
| | - Rayjean J Hung
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Statistics, Harvard University, Cambridge, MA, USA
| | - Xuehong Zhang
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Alan A Arslan
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Maria-Jose Sánchez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ib, Granada, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Elin Pettersen Sørgjerd
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
| | | | - Kristian Hveem
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Arnulf Langhammer
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
- Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Beatrice Melin
- Department of Radiation Sciences, Oncology, Umea University, Umea, Sweden
| | - Mikael Johansson
- Department of Radiation Sciences, Oncology, Umea University, Umea, Sweden
| | - Hilary A Robbins
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
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21
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Frydrychowicz M, Kuszel Ł, Dworacki G, Budna-Tukan J. MicroRNA in lung cancer-a novel potential way for early diagnosis and therapy. J Appl Genet 2023; 64:459-477. [PMID: 36821071 PMCID: PMC10457410 DOI: 10.1007/s13353-023-00750-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/31/2023] [Accepted: 02/07/2023] [Indexed: 02/24/2023]
Abstract
Lung cancer is the most common cause of cancer-related deaths in the world. One of the reasons of poor prognosis and high mortality of lung cancer patients is the diagnosis of the disease in its advanced stage. Despite innovative diagnostic methods and multiple completed and ongoing clinical trials aiming at therapy improvement, no significant increase in patients' long-term survival has been noted over last decades. Patients would certainly benefit from early detection of lung cancer. Therefore, it is crucial to find new biomarkers that can help predict outcomes and tumor responses in order to maximize therapy effectiveness and avoid over- or under-treating patients with lung cancer. Nowadays, scientists' attention is mainly dedicated to so-called liquid biopsy, which is fully non-invasive and easily available method based on simple blood draw. Among common liquid biopsy elements, circulating tumor nucleic acids are worth mentioning. Epigenetic biomarkers, particularly miRNA expression, have several distinct features that make them promising prognostic markers. In this review, we described miRNA's involvement in tumorigenesis and present it as a predictor of cancer development and progression, potential indicator of treatment efficacy, and most importantly promising therapeutic target.
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Affiliation(s)
- Magdalena Frydrychowicz
- Department of Clinical Immunology, Poznan University of Medical Sciences, 60-806 Poznan, Poland
| | - Łukasz Kuszel
- Department of Medical Genetics, Poznan University of Medical Sciences, 60-806 Poznan, Poland
| | - Grzegorz Dworacki
- Department of Clinical Immunology, Poznan University of Medical Sciences, 60-806 Poznan, Poland
| | - Joanna Budna-Tukan
- Department of Histology and Embryology, Poznan University of Medical Sciences, 61-781 Poznan, Poland
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22
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Catarata MJ, Van Geffen WH, Banka R, Ferraz B, Sidhu C, Carew A, Viola L, Gijtenbeek R, Hardavella G. ERS International Congress 2022: highlights from the Thoracic Oncology Assembly. ERJ Open Res 2023; 9:00579-2022. [PMID: 37583965 PMCID: PMC10423989 DOI: 10.1183/23120541.00579-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 05/31/2023] [Indexed: 08/17/2023] Open
Abstract
Thoracic malignancies are associated with a substantial public health burden. Lung cancer is the leading cause of cancer-related mortality worldwide, with significant impact on patients' quality of life. Following 2 years of virtual European Respiratory Society (ERS) Congresses due to the COVID-19 pandemic, the 2022 hybrid ERS Congress in Barcelona, Spain allowed peers from all over the world to meet again and present their work. Thoracic oncology experts presented best practices and latest developments in lung cancer screening, lung cancer diagnosis and management. Early lung cancer diagnosis, subsequent pros and cons of aggressive management, identification and management of systemic treatments' side-effects, and the application of artificial intelligence and biomarkers across all aspects of the thoracic oncology pathway were among the areas that triggered specific interest and will be summarised here.
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Affiliation(s)
- Maria Joana Catarata
- Pulmonology Department, Hospital de Braga, Braga, Portugal
- Tumour & Microenvironment Interactions Group, I3S-Institute for Health Research & Innovation, University of Porto, Porto, Portugal
| | - Wouter H. Van Geffen
- Department of Respiratory Medicine, Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - Radhika Banka
- P.D. Hinduja National Hospital and Medical Research Centre, Mumbai, India
| | - Beatriz Ferraz
- Pulmonology Department, Centro Hospitalar e Universitário do Porto, Porto, Portugal
- ICBAS School of Medicine and Biomedical Sciences, University of Porto, Porto, Portugal
| | | | - Alan Carew
- Queensland Lung Transplant Service, Department of Thoracic Medicine, Prince Charles Hospital, Brisbane, Australia
- Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Lucia Viola
- Thoracic Oncology Service, Fundación Neumológica Colombiana, Bogotá, Colombia
- Thoracic Clinic, Luis Carlos Sarmiento Angulo Cancer Treatment and Research Center (Fundación CTIC), Bogotá, Colombia
| | - Rolof Gijtenbeek
- Department of Respiratory Medicine, Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - Georgia Hardavella
- 9th Department of Respiratory Medicine, “Sotiria” Athens Chest Diseases Hospital, Athens, Greece
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23
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Bertoli E, De Carlo E, Basile D, Zara D, Stanzione B, Schiappacassi M, Del Conte A, Spina M, Bearz A. Liquid Biopsy in NSCLC: An Investigation with Multiple Clinical Implications. Int J Mol Sci 2023; 24:10803. [PMID: 37445976 DOI: 10.3390/ijms241310803] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 06/25/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
Tissue biopsy is essential for NSCLC diagnosis and treatment management. Over the past decades, liquid biopsy has proven to be a powerful tool in clinical oncology, isolating tumor-derived entities from the blood. Liquid biopsy permits several advantages over tissue biopsy: it is non-invasive, and it should provide a better view of tumor heterogeneity, gene alterations, and clonal evolution. Consequentially, liquid biopsy has gained attention as a cancer biomarker tool, with growing clinical applications in NSCLC. In the era of precision medicine based on molecular typing, non-invasive genotyping methods became increasingly important due to the great number of oncogene drivers and the small tissue specimen often available. In our work, we comprehensively reviewed established and emerging applications of liquid biopsy in NSCLC. We made an excursus on laboratory analysis methods and the applications of liquid biopsy either in early or metastatic NSCLC disease settings. We deeply reviewed current data and future perspectives regarding screening, minimal residual disease, micrometastasis detection, and their implication in adjuvant and neoadjuvant therapy management. Moreover, we reviewed liquid biopsy diagnostic utility in the absence of tissue biopsy and its role in monitoring treatment response and emerging resistance in metastatic NSCLC treated with target therapy and immuno-therapy.
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Affiliation(s)
- Elisa Bertoli
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
- Department of Medicine (DAME), University of Udine, 33100 Udine, Italy
| | - Elisa De Carlo
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Debora Basile
- Department of Medical Oncology, San Giovanni Di Dio Hospital, 88900 Crotone, Italy
| | - Diego Zara
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
- Department of Medicine (DAME), University of Udine, 33100 Udine, Italy
| | - Brigida Stanzione
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Monica Schiappacassi
- Molecular Oncology Unit, (OMMPPT) Department of Translational Research, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Alessandro Del Conte
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Michele Spina
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Alessandra Bearz
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
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24
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Davies MPA, Sato T, Ashoor H, Hou L, Liloglou T, Yang R, Field JK. Plasma protein biomarkers for early prediction of lung cancer. EBioMedicine 2023; 93:104686. [PMID: 37379654 DOI: 10.1016/j.ebiom.2023.104686] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 06/01/2023] [Accepted: 06/14/2023] [Indexed: 06/30/2023] Open
Abstract
BACKGROUND Individual plasma proteins have been identified as minimally invasive biomarkers for lung cancer diagnosis with potential utility in early detection. Plasma proteomes provide insight into contributing biological factors; we investigated their potential for future lung cancer prediction. METHODS The Olink® Explore-3072 platform quantitated 2941 proteins in 496 Liverpool Lung Project plasma samples, including 131 cases taken 1-10 years prior to diagnosis, 237 controls, and 90 subjects at multiple times. 1112 proteins significantly associated with haemolysis were excluded. Feature selection with bootstrapping identified differentially expressed proteins, subsequently modelled for lung cancer prediction and validated in UK Biobank data. FINDINGS For samples 1-3 years pre-diagnosis, 240 proteins were significantly different in cases; for 1-5 year samples, 117 of these and 150 further proteins were identified, mapping to significantly different pathways. Four machine learning algorithms gave median AUCs of 0.76-0.90 and 0.73-0.83 for the 1-3 year and 1-5 year proteins respectively. External validation gave AUCs of 0.75 (1-3 year) and 0.69 (1-5 year), with AUC 0.7 up to 12 years prior to diagnosis. The models were independent of age, smoking duration, cancer histology and the presence of COPD. INTERPRETATION The plasma proteome provides biomarkers which may be used to identify those at greatest risk of lung cancer. The proteins and the pathways are different when lung cancer is more imminent, indicating that both biomarkers of inherent risk and biomarkers associated with presence of early lung cancer may be identified. FUNDING Janssen Pharmaceuticals Research Collaboration Award; Roy Castle Lung Cancer Foundation.
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Affiliation(s)
- Michael P A Davies
- Department of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular & Integrative Biology, The University of Liverpool, William Henry Duncan Building, 6 West Derby Street, Liverpool L7 8TX, UK
| | - Takahiro Sato
- World Without Disease Accelerator, Johnson & Johnson, 10th Floor 255 Main St, Cambridge, MA 02142, USA
| | - Haitham Ashoor
- World Without Disease Accelerator, Johnson & Johnson, 10th Floor 255 Main St, Cambridge, MA 02142, USA
| | - Liping Hou
- Population Analytics & Insights, Data Science, Janssen R&D, 1400 McKean Rd, Spring House, PA 19477, USA
| | - Triantafillos Liloglou
- Faculty of Health, Social Care & Medicine, Edge Hill University, St Helens Road, Ormskirk, Lancashire L39 4QP, UK
| | - Robert Yang
- World Without Disease Accelerator, Johnson & Johnson, 10th Floor 255 Main St, Cambridge, MA 02142, USA
| | - John K Field
- Department of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular & Integrative Biology, The University of Liverpool, William Henry Duncan Building, 6 West Derby Street, Liverpool L7 8TX, UK.
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25
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Al-Obeidi E, Riess JW, Malapelle U, Rolfo C, Gandara DR. Convergence of Precision Oncology and Liquid Biopsy in Non-Small Cell Lung Cancer. Hematol Oncol Clin North Am 2023; 37:475-487. [PMID: 37024388 DOI: 10.1016/j.hoc.2023.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
Abstract
This review article illuminates the role of liquid biopsy in the continuum of care for non-small cell lung cancer (NSCLC). We discuss its current application in advanced-stage NSCLC at the time of diagnosis and at progression. We highlight research showing that concurrent testing of blood and tissue yields faster, more informative, and cheaper answers than the standard stepwise approach. We also describe future applications for liquid biopsy including treatment response monitoring and testing for minimal residual disease. Lastly, we discuss the emerging role of liquid biopsy for screening and early detection.
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Affiliation(s)
- Ebaa Al-Obeidi
- Division of Hematology-Oncology, University of California, Davis, 4501 X Street, Suite 3016, Sacramento, CA 95817, USA.
| | - Jonathan W Riess
- Division of Hematology-Oncology, University of California, Davis, 4501 X Street, Suite 3016, Sacramento, CA 95817, USA
| | - Umberto Malapelle
- Department of Public Health, University of Naples Federico II, Via Sergio Pansini 5, 80131, Naples, Italy. https://twitter.com/UmbertoMalapel1
| | - Christian Rolfo
- Center for Thoracic Oncology at the Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, One Gustave Levy Place, Box 1079, New York, NY 10029, USA. https://twitter.com/ChristianRolfo
| | - David R Gandara
- Division of Hematology-Oncology, University of California, Davis, 4501 X Street, Suite 3016, Sacramento, CA 95817, USA. https://twitter.com/drgandara
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26
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Liu J, Hu X, Hu Y, Chen P, Xu H, Hu W, Zhao Y, Wu P, Liu GL. Dual AuNPs detecting probe enhanced the NanoSPR effect for the high-throughput detection of the cancer microRNA21 biomarker. Biosens Bioelectron 2023; 225:115084. [PMID: 36693286 DOI: 10.1016/j.bios.2023.115084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/18/2022] [Accepted: 01/14/2023] [Indexed: 01/18/2023]
Abstract
The microRNA21 (miR-21), a specific tumor biomarker, is crucial for the diagnosis of several cancer types, and investigation of its overexpression pattern is important for cancer diagnosis. Herein, we report a low-cost, rapid, ultrasensitive, and convenient biosensing strategy for the detection of miR-21 using a nanoplasmonic array chip coupled with gold nanoparticles (AuNPs). This sensing platform combines the surface plasmon resonance effect of nanoplasmonics (NanoSPR) and the localized surface plasmon resonance (LSPR) effect, which allows the real-time monitoring of the subtle optical density (OD) changes caused by the variations in the dielectric constant in the process of the hybridization of the target miRNA. Using this method, the miRNA achieves a broad detection range from 100 aM to 1 μM, and with a limit of detection (LoD) of 1.85 aM. Furthermore, this assay also has a single-base resolution to discriminate the highly homologous miRNAs. More importantly, this platform has high throughput characteristics (96 samples can be detected simultaneously). This strategy exhibits more than 86.5 times enhancement in terms of sensitivity compared to that of traditional biosensors.
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Affiliation(s)
- Juxiang Liu
- National Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luo Yu Road, Wuhan, 430074, China
| | - Xulong Hu
- Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, 430074, China
| | - Yinxia Hu
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Ping Chen
- National Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luo Yu Road, Wuhan, 430074, China
| | - Hao Xu
- Liangzhun (Shanghai) Industrial Co. Ltd., Shanghai, 200336, China
| | - Wenjun Hu
- National Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luo Yu Road, Wuhan, 430074, China
| | - Yanteng Zhao
- Department of Blood Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
| | - Ping Wu
- National Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luo Yu Road, Wuhan, 430074, China; School of Pharmacy, Wenzhou Medical University, Wenzhou, 325035, China; Research Units of Clinical Translation of Cell Growth Factors and Diseases Research, Chinese Academy of Medical Science, Wenzhou, 325035, China.
| | - Gang L Liu
- National Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luo Yu Road, Wuhan, 430074, China.
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Sulewska A, Pilz L, Manegold C, Ramlau R, Charkiewicz R, Niklinski J. A Systematic Review of Progress toward Unlocking the Power of Epigenetics in NSCLC: Latest Updates and Perspectives. Cells 2023; 12:cells12060905. [PMID: 36980246 PMCID: PMC10047383 DOI: 10.3390/cells12060905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/28/2023] [Accepted: 03/13/2023] [Indexed: 03/18/2023] Open
Abstract
Epigenetic research has the potential to improve our understanding of the pathogenesis of cancer, specifically non-small-cell lung cancer, and support our efforts to personalize the management of the disease. Epigenetic alterations are expected to have relevance for early detection, diagnosis, outcome prediction, and tumor response to therapy. Additionally, epi-drugs as therapeutic modalities may lead to the recovery of genes delaying tumor growth, thus increasing survival rates, and may be effective against tumors without druggable mutations. Epigenetic changes involve DNA methylation, histone modifications, and the activity of non-coding RNAs, causing gene expression changes and their mutual interactions. This systematic review, based on 110 studies, gives a comprehensive overview of new perspectives on diagnostic (28 studies) and prognostic (25 studies) epigenetic biomarkers, as well as epigenetic treatment options (57 studies) for non-small-cell lung cancer. This paper outlines the crosstalk between epigenetic and genetic factors as well as elucidates clinical contexts including epigenetic treatments, such as dietary supplements and food additives, which serve as anti-carcinogenic compounds and regulators of cellular epigenetics and which are used to reduce toxicity. Furthermore, a future-oriented exploration of epigenetic studies in NSCLC is presented. The findings suggest that additional studies are necessary to comprehend the mechanisms of epigenetic changes and investigate biomarkers, response rates, and tailored combinations of treatments. In the future, epigenetics could have the potential to become an integral part of diagnostics, prognostics, and personalized treatment in NSCLC.
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Affiliation(s)
- Anetta Sulewska
- Department of Clinical Molecular Biology, Medical University of Bialystok, 15-269 Bialystok, Poland
- Correspondence: (A.S.); (J.N.)
| | - Lothar Pilz
- Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Christian Manegold
- Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Rodryg Ramlau
- Department of Oncology, Poznan University of Medical Sciences, 60-569 Poznan, Poland
| | - Radoslaw Charkiewicz
- Department of Clinical Molecular Biology, Medical University of Bialystok, 15-269 Bialystok, Poland
| | - Jacek Niklinski
- Department of Clinical Molecular Biology, Medical University of Bialystok, 15-269 Bialystok, Poland
- Correspondence: (A.S.); (J.N.)
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Adams SJ, Stone E, Baldwin DR, Vliegenthart R, Lee P, Fintelmann FJ. Lung cancer screening. Lancet 2023; 401:390-408. [PMID: 36563698 DOI: 10.1016/s0140-6736(22)01694-4] [Citation(s) in RCA: 89] [Impact Index Per Article: 89.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 07/26/2022] [Accepted: 08/25/2022] [Indexed: 12/24/2022]
Abstract
Randomised controlled trials, including the National Lung Screening Trial (NLST) and the NELSON trial, have shown reduced mortality with lung cancer screening with low-dose CT compared with chest radiography or no screening. Although research has provided clarity on key issues of lung cancer screening, uncertainty remains about aspects that might be critical to optimise clinical effectiveness and cost-effectiveness. This Review brings together current evidence on lung cancer screening, including an overview of clinical trials, considerations regarding the identification of individuals who benefit from lung cancer screening, management of screen-detected findings, smoking cessation interventions, cost-effectiveness, the role of artificial intelligence and biomarkers, and current challenges, solutions, and opportunities surrounding the implementation of lung cancer screening programmes from an international perspective. Further research into risk models for patient selection, personalised screening intervals, novel biomarkers, integrated cardiovascular disease and chronic obstructive pulmonary disease assessments, smoking cessation interventions, and artificial intelligence for lung nodule detection and risk stratification are key opportunities to increase the efficiency of lung cancer screening and ensure equity of access.
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Affiliation(s)
- Scott J Adams
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Emily Stone
- Faculty of Medicine, University of New South Wales and Department of Lung Transplantation and Thoracic Medicine, St Vincent's Hospital, Sydney, NSW, Australia
| | - David R Baldwin
- Respiratory Medicine Unit, David Evans Research Centre, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | | | - Pyng Lee
- Division of Respiratory and Critical Care Medicine, National University Hospital and National University of Singapore, Singapore
| | - Florian J Fintelmann
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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Chen W, Wang H, Shen Y, Wang S, Liu D, Zhao H, Wang G, Huang F, Wang W, Wu R, Hou L, Ye Z, Zhang X, Geng X, Yu X. Let-7c-5p down-regulates immune-related CDCA8 to inhibit hepatocellular carcinoma. Funct Integr Genomics 2023; 23:56. [PMID: 36737507 DOI: 10.1007/s10142-023-00974-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 02/05/2023]
Abstract
OBJECTIVE The aim of this study is to investigate the effect of let-7c-5p on the malignant behaviors of hepatocellular carcinoma (HCC) and its specific molecular pathway. METHODS Differential expression and survival analysis of let-7c-5p were obtained from The Cancer Genome Atlas database, and then its expression level was preliminarily verified through qPCR. The effect of let-7c-5p on the malignant phenotype of HCC cells was subsequently evaluated using CCK-8, transwell, wound healing, and flow cytometry assays. Downstream mRNA regulated by let-7c-5p was identified and confirmed by ENCORI database, dual-luciferase reporter, and western blot assays. The immunocorrelation of genes was evaluated by Xiantao tool, and TIMER and TISIDB databases. RESULTS The expression level of let-7c-5p in HCC was obviously reduced, which was found to be closely associated with the short survival time of HCC patients. Cell phenotypic experiments showed that let-7c-5p inhibited proliferation, invasion, and migration and promoted apoptosis of HCC cells. Dual-luciferase reporter and western blot analysis demonstrated that CDCA8 is a downstream mRNA of let-7c-5p and is negatively regulated by it. Rescue experiment revealed that CDCA8 reversed the effect of let-7c-5p on the malignant phenotype of HCC cells. Furthermore, analysis of the public database revealed that CDCA8 is related to some immune cells and immunomodulators, and that it may participate in the regulation of some immune pathways and immune functions. CONCLUSION Let-7c-5p has been proved to suppress HCC by down-regulating immune-related CDCA8, which will help understand the pathogenesis of HCC and develop drugs for its treatment.
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Affiliation(s)
- Wanjin Chen
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.,Department of Hepatobiliary-Pancreatic Surgery and Organ Transplantation Center, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Haibo Wang
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China
| | - Yuanlong Shen
- Department of Pathology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Shouwen Wang
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.,Department of Hepatobiliary-Pancreatic Surgery and Organ Transplantation Center, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Deng Liu
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Hongchuan Zhao
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.,Department of Hepatobiliary-Pancreatic Surgery and Organ Transplantation Center, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Guobin Wang
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.,Department of Hepatobiliary-Pancreatic Surgery and Organ Transplantation Center, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Fan Huang
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.,Department of Hepatobiliary-Pancreatic Surgery and Organ Transplantation Center, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Wei Wang
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.,Department of Hepatobiliary-Pancreatic Surgery and Organ Transplantation Center, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Ruolin Wu
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.,Department of Hepatobiliary-Pancreatic Surgery and Organ Transplantation Center, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Liujin Hou
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.,Department of Hepatobiliary-Pancreatic Surgery and Organ Transplantation Center, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Zhenghui Ye
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.,Department of Hepatobiliary-Pancreatic Surgery and Organ Transplantation Center, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Xinghua Zhang
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.,Department of Hepatobiliary-Pancreatic Surgery and Organ Transplantation Center, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Xiaoping Geng
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.,Department of Hepatobiliary-Pancreatic Surgery and Organ Transplantation Center, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Xiaojun Yu
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China. .,Department of Hepatobiliary-Pancreatic Surgery and Organ Transplantation Center, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
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Nøst TH, Skogholt AH, Urbarova I, Mjelle R, Paulsen E, Dønnem T, Andersen S, Markaki M, Røe OD, Johansson M, Johansson M, Grønberg BH, Sandanger TM, Sætrom P. Increased levels of microRNA-320 in blood serum and plasma is associated with imminent and advanced lung cancer. Mol Oncol 2023; 17:312-327. [PMID: 36337027 PMCID: PMC9892825 DOI: 10.1002/1878-0261.13336] [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: 05/31/2022] [Revised: 10/04/2022] [Accepted: 11/04/2022] [Indexed: 11/09/2022] Open
Abstract
Lung cancer (LC) incidence is increasing globally and altered levels of microRNAs (miRNAs) in blood may contribute to identification of individuals with LC. We identified miRNAs differentially expressed in peripheral blood at LC diagnosis and evaluated, in pre-diagnostic blood specimens, how long before diagnosis expression changes in such candidate miRNAs could be detected. We identified upregulated candidate miRNAs in plasma specimens from a hospital-based study sample of 128 patients with confirmed LC and 62 individuals with suspected but confirmed negative LC (FalsePos). We then evaluated the expression of candidate miRNAs in pre-diagnostic plasma or serum specimens of 360 future LC cases and 375 matched controls. There were 1663 miRNAs detected in diagnostic specimens, nine of which met our criteria for candidate miRNAs. Higher expression of three candidates, miR-320b, 320c, and 320d, was associated with poor survival, independent of LC stage and subtype. Moreover, miR-320c and miR-320d expression was higher in pre-diagnostic specimens collected within 2 years of LC diagnosis. Our results indicated that elevated levels of miR-320c and miR-320d may be early indications of imminent and advanced LC.
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Affiliation(s)
- Therese Haugdahl Nøst
- Department of Community Medicine, Faculty of Health SciencesUiT The Arctic University of NorwayTromsøNorway
- Department of Public Health and Nursing, K.G. Jebsen Center for Genetic EpidemiologyNTNU – Norwegian University of Science and TechnologyTrondheimNorway
| | - Anne Heidi Skogholt
- Department of Public Health and Nursing, K.G. Jebsen Center for Genetic EpidemiologyNTNU – Norwegian University of Science and TechnologyTrondheimNorway
| | - Ilona Urbarova
- Department of Community Medicine, Faculty of Health SciencesUiT The Arctic University of NorwayTromsøNorway
| | - Robin Mjelle
- Department of Public Health and Nursing, K.G. Jebsen Center for Genetic EpidemiologyNTNU – Norwegian University of Science and TechnologyTrondheimNorway
- Department of Clinical and Molecular MedicineNTNU – Norwegian University of Science and TechnologyTrondheimNorway
- Bioinformatics Core FacilityNTNU – Norwegian University of Science and TechnologyTrondheimNorway
| | - Erna‐Elise Paulsen
- Department of Clinical Medicine, Faculty of Health SciencesUiT The Arctic University of NorwayTromsøNorway
- Department of PulmonologyUniversity Hospital of North NorwayTromsøNorway
| | - Tom Dønnem
- Department of Clinical Medicine, Faculty of Health SciencesUiT The Arctic University of NorwayTromsøNorway
- Department of OncologyUniversity Hospital of North NorwayTromsøNorway
| | - Sigve Andersen
- Department of Clinical Medicine, Faculty of Health SciencesUiT The Arctic University of NorwayTromsøNorway
- Department of OncologyUniversity Hospital of North NorwayTromsøNorway
| | | | - Oluf Dimitri Røe
- Department of Clinical and Molecular MedicineNTNU – Norwegian University of Science and TechnologyTrondheimNorway
- Cancer Clinic, Levanger HospitalNord‐Trøndelag Health TrustLevangerNorway
| | | | | | - Bjørn Henning Grønberg
- Department of Clinical and Molecular MedicineNTNU – Norwegian University of Science and TechnologyTrondheimNorway
- Department of Oncology, St. Olavs HospitalTrondheim University HospitalNorway
| | - Torkjel Manning Sandanger
- Department of Community Medicine, Faculty of Health SciencesUiT The Arctic University of NorwayTromsøNorway
| | - Pål Sætrom
- Department of Public Health and Nursing, K.G. Jebsen Center for Genetic EpidemiologyNTNU – Norwegian University of Science and TechnologyTrondheimNorway
- Department of Clinical and Molecular MedicineNTNU – Norwegian University of Science and TechnologyTrondheimNorway
- Bioinformatics Core FacilityNTNU – Norwegian University of Science and TechnologyTrondheimNorway
- Department of Computer ScienceNorwegian University of Science and TechnologyTrondheimNorway
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31
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Liao J, Li X, Gan Y, Han S, Rong P, Wang W, Li W, Zhou L. Artificial intelligence assists precision medicine in cancer treatment. Front Oncol 2023; 12:998222. [PMID: 36686757 PMCID: PMC9846804 DOI: 10.3389/fonc.2022.998222] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 11/22/2022] [Indexed: 01/06/2023] Open
Abstract
Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the same drugs or surgical methods in patients with the same tumor may have different curative effects, leading to the need for more accurate treatment methods for tumors and personalized treatments for patients. The precise treatment of tumors is essential, which renders obtaining an in-depth understanding of the changes that tumors undergo urgent, including changes in their genes, proteins and cancer cell phenotypes, in order to develop targeted treatment strategies for patients. Artificial intelligence (AI) based on big data can extract the hidden patterns, important information, and corresponding knowledge behind the enormous amount of data. For example, the ML and deep learning of subsets of AI can be used to mine the deep-level information in genomics, transcriptomics, proteomics, radiomics, digital pathological images, and other data, which can make clinicians synthetically and comprehensively understand tumors. In addition, AI can find new biomarkers from data to assist tumor screening, detection, diagnosis, treatment and prognosis prediction, so as to providing the best treatment for individual patients and improving their clinical outcomes.
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Affiliation(s)
- Jinzhuang Liao
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Xiaoying Li
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Yu Gan
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Shuangze Han
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Pengfei Rong
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
- Cell Transplantation and Gene Therapy Institute, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wei Wang
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
- Cell Transplantation and Gene Therapy Institute, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wei Li
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
- Cell Transplantation and Gene Therapy Institute, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Li Zhou
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
- Cell Transplantation and Gene Therapy Institute, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Pathology, The Xiangya Hospital of Central South University, Changsha, Hunan, China
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32
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Wu J, Han X, Yang X, Li Y, Liang Y, Sun G, Wang R, Wang P, Xie S, Feng J, Sun H. MiR-138-5p suppresses the progression of lung cancer by targeting SNIP1. Thorac Cancer 2023; 14:612-623. [PMID: 36597175 PMCID: PMC9968603 DOI: 10.1111/1759-7714.14791] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/20/2022] [Accepted: 12/22/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND MicroRNAs (miRNAs) play crucial roles in the development of various cancers. Here, we aimed to evaluate the roles of miR-138-5p in lung cancer progression and the value of miR-138-5p in lung cancer diagnosis. METHODS Quantitative real-time PCR was performed to examine the expressions of miR-138-5p and smad nuclear interacting protein 1 (SNIP1) mRNA. The diagnostic value of miR-138-5p was analyzed using receiver operating characteristic (ROC) curve analysis, sensitivity, and specificity. We explored the effect of miR-138-5p on cell proliferation and metastasis by CCK-8, colony formation, wound healing and transwell assays. Western blot was employed to detect the protein expression of SNIP1 and related genes. Lung cancer cell growth was evaluated in vivo using xenograft tumor assay. RESULTS MiR-138-5p was decreased in the serum of patients with non-small cell lung cancer (NSCLC) and in NSCLC cells and tissues. The area under the ROC curve of serum miR-138-5p in the diagnosis of NSCLC was 0.922. This finding indicates the high diagnostic efficiency for lung cancer. MiR-138-5p suppressed but its inhibitor promoted cell proliferation and migration compared with control treatment in vitro and in vivo. MiR-138-5p directly binds to the 3'-untranslated region of SNIP1 and negatively regulated the expression of SNIP1, thereby inhibiting the expression of cyclin D1 and c-Myc. Moreover, overexpression of SNIP1 rescues the miR-138-5p-mediated inhibition in NSCLC cells. CONCLUSIONS The results suggested that miR-138-5p suppressed lung cancer cell proliferation and migration by targeting SNIP1. Serum miR-138-5p is a novel and valuable biomarker for NSCLC diagnosis.
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Affiliation(s)
- Jiaen Wu
- Department of Biochemistry and Molecular BiologyBinzhou Medical UniversityYantaiChina,Department of Laboratory MedicineYantai Affiliated Hospital of Binzhou Medical UniversityYantaiChina
| | - Xuejia Han
- Department of Biochemistry and Molecular BiologyBinzhou Medical UniversityYantaiChina,Department of Laboratory MedicineYantai Affiliated Hospital of Binzhou Medical UniversityYantaiChina
| | - Xiancong Yang
- Department of Biochemistry and Molecular BiologyBinzhou Medical UniversityYantaiChina
| | - Youjie Li
- Department of Biochemistry and Molecular BiologyBinzhou Medical UniversityYantaiChina
| | - Yan Liang
- Department of Biochemistry and Molecular BiologyBinzhou Medical UniversityYantaiChina
| | - Guangbin Sun
- Department of Biochemistry and Molecular BiologyBinzhou Medical UniversityYantaiChina
| | - Ranran Wang
- Department of Biochemistry and Molecular BiologyBinzhou Medical UniversityYantaiChina
| | - Pingyu Wang
- Department of Biochemistry and Molecular BiologyBinzhou Medical UniversityYantaiChina
| | - Shuyang Xie
- Department of Biochemistry and Molecular BiologyBinzhou Medical UniversityYantaiChina
| | - Jiankai Feng
- Department of Laboratory MedicineYantai Affiliated Hospital of Binzhou Medical UniversityYantaiChina
| | - Hongfang Sun
- Department of Biochemistry and Molecular BiologyBinzhou Medical UniversityYantaiChina
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Cuttano R, Afanga MK, Bianchi F. MicroRNAs and Drug Resistance in Non-Small Cell Lung Cancer: Where Are We Now and Where Are We Going. Cancers (Basel) 2022; 14:5731. [PMID: 36497213 PMCID: PMC9740066 DOI: 10.3390/cancers14235731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 11/14/2022] [Accepted: 11/17/2022] [Indexed: 11/24/2022] Open
Abstract
Lung cancer is the leading cause of cancer-related mortality in the world. The development of drug resistance represents a major challenge for the clinical management of patients. In the last years, microRNAs have emerged as critical modulators of anticancer therapy response. Here, we make a critical appraisal of the literature available on the role of miRNAs in the regulation of drug resistance in non-small cell lung cancer (NSCLC). We performed a comprehensive annotation of miRNAs expression profiles in chemoresistant versus sensitive NSCLC, of the drug resistance mechanisms tuned up by miRNAs, and of the relative experimental evidence in support of these. Furthermore, we described the pros and cons of experimental approaches used to investigate miRNAs in the context of therapeutic resistance, to highlight potential limitations which should be overcome to translate experimental evidence into practice ultimately improving NSCLC therapy.
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Affiliation(s)
| | | | - Fabrizio Bianchi
- Unit of Cancer Biomarkers, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
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Bożyk A, Nicoś M. The Overview of Perspectives of Clinical Application of Liquid Biopsy in Non-Small-Cell Lung Cancer. Life (Basel) 2022; 12:1640. [PMID: 36295075 PMCID: PMC9604747 DOI: 10.3390/life12101640] [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: 09/20/2022] [Revised: 10/12/2022] [Accepted: 10/17/2022] [Indexed: 01/19/2023] Open
Abstract
The standard diagnostics procedure for non-small-cell lung cancer (NSCLC) requires a pathological evaluation of tissue samples obtained by surgery or biopsy, which are considered invasive sampling procedures. Due to this fact, re-sampling of the primary tumor at the moment of progression is limited and depends on the patient's condition, even if it could reveal a mechanism of resistance to applied therapy. Recently, many studies have indicated that liquid biopsy could be provided for the noninvasive management of NSCLC patients who receive molecularly targeted therapies or immunotherapy. The liquid biopsy of neoplastic patients harbors small fragments of circulating-free DNA (cfDNA) and cell-free RNA (cfRNA) secreted to the circulation from normal cells, as well as a subset of tumor-derived circulating tumor cells (CTCs) or circulating tumor DNA (ctDNA). In NSCLC patients, a longitudinal assessment of genetic alterations in "druggable" genes in liquid biopsy might improve the follow-up of treatment efficacy and allow for the detection of an early progression before it is detectable in computed tomography or a clinical image. However, a liquid biopsy may be used to determine a variety of relevant molecular or genetic information for understanding tumor biology and its evolutionary trajectories. Thus, liquid biopsy is currently associated with greater hope for common diagnostic and clinical applications. In this review, we would like to highlight diagnostic challenges in the application of liquid biopsy into the clinical routine and indicate its implications on the metastatic spread of NSCLC or monitoring of personalized treatment regimens.
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Affiliation(s)
| | - Marcin Nicoś
- Department of Pneumonology, Oncology and Allergology, Medical University of Lublin, 20-059 Lublin, Poland
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35
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Wang C, Wu D, He M, Guan L, Bai D, Liang B. LncRNA NORAD accelerates the progression of non-small cell lung cancer via targeting miRNA-455/CDK14 axis. Minerva Med 2022; 113:817-824. [PMID: 33764714 DOI: 10.23736/s0026-4806.21.07194-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND To explore the potential involvement of long non-coding RNA (lncRNA) NORAD in regulating the progression of Non-small cell lung cancer (NSCLC), and its possible mechanism. METHODS Relative level of NORAD in NSCLC tissues and cell lines was determined. Its level in NSCLC patients with different tumor staging (T1-T2, T3-T4) and either with lymphatic metastasis or not was examined as well. Kaplan-Meier curves were depicted for assessing the prognostic value of NORAD in NSCLC. Regulatory effects of NORAD on the proliferative ability of NCI-H1650 and HCC827 cells were evaluated. Dual-luciferase reporter gene assay was conducted to identify the binding between NORAD and miRNA-455, as well as between miRNA-455 and CDK14. At last, the role of NORAD/miRNA-455/CDK14 regulatory loop in influencing the progression of NSCLC was determined. RESULTS NORAD was upregulated in NSCLC tissues and cells. Its level was higher in NSCLC patients with advanced stage or accompanied with lymphatic metastasis. Worse prognosis was observed in NSCLC patients presenting high level of NORAD. Silence of NORAD attenuated the proliferative ability of NCI-H1650 and HCC827 cells. MiRNA-455 was the downstream target binding to NORAD. Its level was negatively regulated by NORAD. Knockdown of miRNA-455 could reverse the role of NORAD in regulating the proliferative ability of NSCLC. Moreover, CDK14 was the target gene of miRNA-455. CDK14 level was negatively regulated by miRNA-455. CONCLUSIONS LncRNA NORAD is upregulated in NSCLC, which enhances the proliferative ability of tumor cells by targeting miRNA-455/CDK14 axis and thereby accelerates the progression of NSCLC.
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Affiliation(s)
- Chunyang Wang
- Research Center for Prevention and Treatment of Respiratory Disease, College of Clinical Medicine, Xi'an Medical University, Xi'an, China
| | - Dongmei Wu
- Department of Radiation Oncology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China -
| | - Maofang He
- College of Pharmacy, Xi'an Medical University, Xi'an, China
| | - Li Guan
- College of Pharmacy, Xi'an Medical University, Xi'an, China
| | - Dan Bai
- College of Pharmacy, Xi'an Medical University, Xi'an, China
| | - Baihui Liang
- Department of Radiation Oncology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China
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Vykoukal J, Fahrmann JF, Patel N, Shimizu M, Ostrin EJ, Dennison JB, Ivan C, Goodman GE, Thornquist MD, Barnett MJ, Feng Z, Calin GA, Hanash SM. Contributions of Circulating microRNAs for Early Detection of Lung Cancer. Cancers (Basel) 2022; 14:4221. [PMID: 36077759 PMCID: PMC9454665 DOI: 10.3390/cancers14174221] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 05/10/2022] [Accepted: 08/08/2022] [Indexed: 02/04/2023] Open
Abstract
There is unmet need to develop circulating biomarkers that would enable earlier interception of lung cancer when more effective treatment options are available. Here, a set of 30 miRNAs, selected from a review of the published literature were assessed for their predictive performance in identifying lung cancer cases in the pre-diagnostic setting. The 30 miRNAs were assayed using sera collected from 102 individuals diagnosed with lung cancer within one year following blood draw and 212 controls matched for age, sex, and smoking status. The additive performance of top-performing miRNA candidates in combination with a previously validated four-protein marker panel (4MP) consisting of the precursor form of surfactant protein B (Pro-SFTPB), cancer antigen 125 (CA125), carcinoembryonic antigen (CEA) and cytokeratin-19 fragment (CYFRA21-1) was additionally assessed. Of the 30 miRNAs evaluated, five (miR-320a-3p, miR-210-3p, miR-92a-3p, miR-21-5p, and miR-140-3p) were statistically significantly (Wilcoxon rank sum test p < 0.05) elevated in case sera compared to controls, with individual AUCs ranging from 0.57−0.62. Compared to the 4MP alone, the combination of 3-miRNAs + 4MP improved sensitivity at 95% specificity by 19.1% ((95% CI of difference 0.0−28.6); two-sided p: 0.006). Our findings demonstrate utility for miRNAs for early detection of lung cancer in combination with a four-protein marker panel.
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Affiliation(s)
- Jody Vykoukal
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
- McCombs Institute for the Early Detection and Treatment of Cancer, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Johannes F. Fahrmann
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Nikul Patel
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Masayoshi Shimizu
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Edwin J. Ostrin
- Department of General Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jennifer B. Dennison
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Cristina Ivan
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Gary E. Goodman
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | | | - Matt J. Barnett
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Ziding Feng
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - George A. Calin
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Samir M. Hanash
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
- McCombs Institute for the Early Detection and Treatment of Cancer, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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Huang X, Chen X, Chen X, Wang W. Screening of Serum miRNAs as Diagnostic Biomarkers for Lung Cancer Using the Minimal-Redundancy-Maximal-Relevance Algorithm and Random Forest Classifier Based on a Public Database. Public Health Genomics 2022; 25:1-9. [PMID: 35917800 DOI: 10.1159/000525316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 05/12/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Lung cancer is one of the deadliest cancers, early diagnosis of which can efficiently enhance patient's survival. We aimed to screening out the serum miRNAs as diagnostic biomarkers for patients with lung cancer. METHODS A total of 416 remarkably differentially expressed miRNAs were acquired using the limma package, and next feature ranking was derived by the minimal-redundancy-maximal-relevance method. An incremental feature selection algorithm of a random forest (RF) classifier was utilized to choose the top 5 miRNA combination with the optimum predictive performance. The performance of the RF classifier of top 5 miRNAs was analyzed using the receiver operator characteristic (ROC) curve. Afterward, the classification effect of the 5-miRNA combination was validated through principal component analysis and hierarchical clustering analysis. Analysis of top 5 miRNA expressions between lung cancer patients and normal people was performed based on GSE137140 dataset, and their expression was validated by qPCR. The hierarchical clustering analysis was used to analyze the similarity of 5 miRNAs expression profiles. ROC analysis was undertaken on each miRNA. RESULTS We acquired top 5 miRNAs finally, with the Matthews correlation coefficient value as 0.988 and the area under the curve (AUC) value as 0.996. The 5 feature miRNAs were capable of distinguishing most cancer patients and normal people. Furthermore, except for the lowly expressed miR-6875-5p in lung cancer tissue, the other 4 miRNAs all expressed highly in cancer patients. Performance analysis revealed that their AUC values were 0.92, 0.96, 0.94, 0.95, and 0.93, respectively. CONCLUSION By and large, the 5 feature miRNAs screened here were anticipated to be effective biomarkers for lung cancer.
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Affiliation(s)
- Xiaoyan Huang
- Medical Oncology, 900 Hospital of the Joint Logistics Team, Fuzhou, China
| | - Xiong Chen
- Medical Oncology, 900 Hospital of the Joint Logistics Team, Fuzhou, China
| | - Xi Chen
- Medical Oncology, 900 Hospital of the Joint Logistics Team, Fuzhou, China
| | - Wenling Wang
- Medical Oncology, 900 Hospital of the Joint Logistics Team, Fuzhou, China
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Padinharayil H, Varghese J, John MC, Rajanikant GK, Wilson CM, Al-Yozbaki M, Renu K, Dewanjee S, Sanyal R, Dey A, Mukherjee AG, Wanjari UR, Gopalakrishnan AV, George A. Non-small cell lung carcinoma (NSCLC): Implications on molecular pathology and advances in early diagnostics and therapeutics. Genes Dis 2022. [DOI: 10.1016/j.gendis.2022.07.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022] Open
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MiRNAs in Lung Cancer: Diagnostic, Prognostic, and Therapeutic Potential. Diagnostics (Basel) 2022; 12:diagnostics12071610. [PMID: 35885514 PMCID: PMC9322918 DOI: 10.3390/diagnostics12071610] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/13/2022] [Accepted: 04/17/2022] [Indexed: 12/24/2022] Open
Abstract
Lung cancer is the dominant emerging factor in cancer-related mortality around the globe. Therapeutic interventions for lung cancer are not up to par, mainly due to reoccurrence/relapse, chemoresistance, and late diagnosis. People are currently interested in miRNAs, which are small double-stranded (20–24 ribonucleotides) structures that regulate molecular targets (tumor suppressors, oncogenes) involved in tumorigeneses such as cell proliferation, apoptosis, metastasis, and angiogenesis via post-transcriptional regulation of mRNA. Many studies suggest the emerging role of miRNAs in lung cancer diagnostics, prognostics, and therapeutics. Therefore, it is necessary to intensely explore the miRNOME expression of lung tumors and the development of anti-cancer strategies. The current review focuses on the therapeutic, diagnostic, and prognostic potential of numerous miRNAs in lung cancer.
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40
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Gulhane P, Nimsarkar P, Kharat K, Singh S. Deciphering miR-520c-3p as a probable target for immunometabolism in non-small cell lung cancer using systems biology approach. Oncotarget 2022; 13:725-746. [PMID: 35634241 PMCID: PMC9131939 DOI: 10.18632/oncotarget.28233] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 05/03/2022] [Indexed: 11/25/2022] Open
Abstract
Background: Non-small cell lung cancer (NSCLC) is considered to have more than 80% of all lung cancer cases, making it the leading cause of cancer-related deaths globally. MicroRNA (miRNA) deregulation has been seen often in NSCLC and has been linked to the disease’s genesis, progression, and metastasis via affecting their target genes. Materials and Methods: Our study focused on the functionality of down-regulated miRNAs in NSCLC. For this study, we used 91 miRNAs reported to be down-regulated in NSCLC. The targets of these miRNAs were chosen from miRNA databases with functionality in NSCLC, including miRBase, miRDB, miRTV, and others. Inter-regulatory miRNA-NSCLC networks were generated. Simulated annealing was used to improve the network’s resilience and understandability. GSEA was used to examine 24607 genes reported experimentally in order to gain physiologically relevant information about the target miR-520c-3p. Results: The study revealed functional prominence on miR-520c-3p, down-regulated during NSCLC. The involvement of miR-520c-3p in the PI3K/AKT/mTOR signaling pathway was recognized. Conclusions: The therapeutic usage by designing a synthetic circuit of miR-520c-3p was explored, which may help in suppressing tumors in NSCLC. Our study holds promise for the successful deployment of currently proposed miRNA-based therapies for malignant disorders, which are still in the early pre-clinical stages of development.
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Affiliation(s)
- Pooja Gulhane
- National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India
| | - Prajakta Nimsarkar
- National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India
| | - Komal Kharat
- National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India
| | - Shailza Singh
- National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India
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Li C, Wang H, Jiang Y, Fu W, Liu X, Zhong R, Cheng B, Zhu F, Xiang Y, He J, Liang W. Advances in lung cancer screening and early detection. Cancer Biol Med 2022; 19:j.issn.2095-3941.2021.0690. [PMID: 35535966 PMCID: PMC9196057 DOI: 10.20892/j.issn.2095-3941.2021.0690] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 03/03/2022] [Indexed: 11/18/2022] Open
Abstract
Lung cancer is associated with a heavy cancer-related burden in terms of patients' physical and mental health worldwide. Two randomized controlled trials, the US-National Lung Screening Trial (NLST) and Nederlands-Leuvens Longkanker Screenings Onderzoek (NELSON), indicated that low-dose CT (LDCT) screening results in a statistically significant decrease in mortality in patients with lung cancer, LDCT has become the standard approach for lung cancer screening. However, many issues in lung cancer screening remain unresolved, such as the screening criteria, high false-positive rate, and radiation exposure. This review first summarizes recent studies on lung cancer screening from the US, Europe, and Asia, and discusses risk-based selection for screening and the related issues. Second, an overview of novel techniques for the differential diagnosis of pulmonary nodules, including artificial intelligence and molecular biomarker-based screening, is presented. Third, current explorations of strategies for suspected malignancy are summarized. Overall, this review aims to help clinicians understand recent progress in lung cancer screening and alleviate the burden of lung cancer.
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Affiliation(s)
- Caichen Li
- Department of Thoracic Oncology and Surgery, the First Affiliated Hospital of Guangzhou Medical University, China National Center for Respiratory Medicine, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, China
- Dongguan Affiliated Hospital of Southern Medical University, Dongguan People Hospital, Dongguan 523059, China
| | - Huiting Wang
- Department of Thoracic Oncology and Surgery, the First Affiliated Hospital of Guangzhou Medical University, China National Center for Respiratory Medicine, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, China
- Dongguan Affiliated Hospital of Southern Medical University, Dongguan People Hospital, Dongguan 523059, China
| | - Yu Jiang
- Dongguan Affiliated Hospital of Southern Medical University, Dongguan People Hospital, Dongguan 523059, China
| | - Wenhai Fu
- Department of Thoracic Oncology and Surgery, the First Affiliated Hospital of Guangzhou Medical University, China National Center for Respiratory Medicine, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, China
| | - Xiwen Liu
- Dongguan Affiliated Hospital of Southern Medical University, Dongguan People Hospital, Dongguan 523059, China
| | - Ran Zhong
- Department of Thoracic Oncology and Surgery, the First Affiliated Hospital of Guangzhou Medical University, China National Center for Respiratory Medicine, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, China
- Dongguan Affiliated Hospital of Southern Medical University, Dongguan People Hospital, Dongguan 523059, China
| | - Bo Cheng
- Dongguan Affiliated Hospital of Southern Medical University, Dongguan People Hospital, Dongguan 523059, China
| | - Feng Zhu
- Department of Internal Medicine, Detroit Medical Center Sinai-Grace Hospital, Detroit, Michigan 48235, USA
| | - Yang Xiang
- Department of Thoracic Oncology and Surgery, the First Affiliated Hospital of Guangzhou Medical University, China National Center for Respiratory Medicine, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, China
| | - Jianxing He
- Dongguan Affiliated Hospital of Southern Medical University, Dongguan People Hospital, Dongguan 523059, China
- Department of Thoracic Surgery, Nanfang Hospital of Southern Medical University, Guangzhou 510515, China
| | - Wenhua Liang
- Department of Thoracic Oncology and Surgery, the First Affiliated Hospital of Guangzhou Medical University, China National Center for Respiratory Medicine, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, China
- Dongguan Affiliated Hospital of Southern Medical University, Dongguan People Hospital, Dongguan 523059, China
- Department of Oncology, the First People’s Hospital of Zhaoqing, Zhaoqing 526020, China
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Zhao Z, Wang Y, Wu W, Yang Y, Du L, Dong H. Cost-effectiveness of Low-Dose Computed Tomography With a Plasma-Based Biomarker for Lung Cancer Screening in China. JAMA Netw Open 2022; 5:e2213634. [PMID: 35608858 PMCID: PMC9131747 DOI: 10.1001/jamanetworkopen.2022.13634] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
IMPORTANCE China, which has one-third of the worldwide smoking population, has a substantial cancer burden, with lung cancer being the leading cause of cancer-related death. The effectiveness of lung cancer screening for mortality reduction has been confirmed, but the cost-effectiveness of diverse screening modalities remains unclear. OBJECTIVE To compare the cost-effectiveness of low-dose computed tomography (LDCT) with a biomarker (micro-RNA signature classifier [MSC]) with that of LDCT alone by screening interval and cumulative smoking exposure. DESIGN, SETTING, AND PARTICIPANTS In this economic evaluation, a comparative cost-effectiveness analysis used Markov state transition models that simulated the 1947 to 1971 China birth cohort. Simulated individuals in 8 cohorts of 10 000 entered the study between ages 50 and 74 years and were followed up until death or age 79 years, corresponding to a study period from January 1, 2021, to December 31, 2050. The model was run with a cycle length of 1 year. All the transition probabilities were validated, and health utility values were extracted from published literature. Cost parameters were derived from the databases of local medical insurance bureaus. MAIN OUTCOMES AND MEASURES Primary outcomes included life-years, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs) with future costs and outcomes discounted by 5%. Screening strategies with a mean ICER less than Chinese yuan (CNY) 212 676 per QALY gained were deemed to be cost-effective. The cost-effectiveness of 7 alternative screening strategies with a screening starting age of 50 years, minimum cumulative smoking exposure of 20 vs 30 pack-years, and screening interval of annual vs 1 time was estimated, including the 2021 China guideline-recommended strategy (LDCT, annual, 30 pack-years) and the 2018 China guideline-recommended strategy (LDCT, annual, 20 pack-years). RESULTS In a simulated population of 80 000 individuals, the conjunctive LDCT and MSC screening strategy was estimated to obtain an ICER of CNY -793 995.17 to 254 417.46 (minimum cumulative smoking exposure, 20-30 pack-years) per QALY gained compared with LDCT screening alone. China's 2021 guideline-recommended strategy was not cost-effective compared with the 2018 guideline-recommended strategy, with higher costs and fewer QALYs gained; the QALY loss ranged from 0.02 to 0.15 per person and the increase in cost ranged from CNY 945.89 to CNY 5131.29 per person. LDCT and MSC screening beginning at age 70 to 74 years in individuals with a 20 pack-year smoking history was the most cost-effective strategy, with an ICER of CNY -793 995.17 per QALY gained. Lowering the minimum cumulative smoking exposure for screening from 30 to 20 pack-years and maintaining annual screening were associated with greater cost savings regardless of the screening tool. CONCLUSIONS AND RELEVANCE This economic evaluation found that China's 2018 recommendation for lung cancer screening was more cost-effective than the 2021 recommendation. Moreover, the cost-effectiveness of lung cancer screening was improved when MSC was included with LDCT. These findings may be useful for the modification of guidelines for lung cancer screening.
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Affiliation(s)
- Zixuan Zhao
- Center for Health Policy Studies, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
| | - Youqing Wang
- Department of Cancer Prevention, Cancer Hospital of the University of the Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou, China
| | - Weijia Wu
- Center for Health Policy Studies, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yi Yang
- Center for Health Policy Studies, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
| | - Lingbin Du
- Department of Cancer Prevention, Cancer Hospital of the University of the Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou, China
| | - Hengjin Dong
- Center for Health Policy Studies, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
- The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China
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Manjunath Y, Suvilesh KN, Mitchem JB, Avella Patino DM, Kimchi ET, Staveley-O'Carroll KF, Pantel K, Yi H, Li G, Harris PK, Chaudhuri AA, Kaifi JT. Circulating Tumor-Macrophage Fusion Cells and Circulating Tumor Cells Complement Non-Small-Cell Lung Cancer Screening in Patients With Suspicious Lung-RADS 4 Nodules. JCO Precis Oncol 2022; 6:e2100378. [PMID: 35417204 PMCID: PMC9012602 DOI: 10.1200/po.21.00378] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
PURPOSE Low-dose computed tomography (LDCT) screening of high-risk patients decreases lung cancer-related mortality. However, high false-positive rates associated with LDCT result in unnecessary interventions. To distinguish non-small-cell lung cancer (NSCLC) from benign nodules, in the present study, we integrated cellular liquid biomarkers in patients with suspicious lung nodules (lung cancer screening reporting and data system [Lung-RADS] 4). METHODS Prospectively, 7.5 mL of blood was collected from 221 individuals (training set: 90 nonscreened NSCLC patients, 74 high-risk screening patients with no/benign nodules [Lung-RADS 1-3], and 20 never smokers; validation set: 37 patients with suspicious nodules [Lung-RADS 4]). Circulating tumor cells (CTCs), CTC clusters, and tumor-macrophage fusion (TMF) cells were identified by blinded analyses. Screening patients underwent a median of two LDCTs (range, 1-4) with a median surveillance time of 30 (range, 11-50) months. RESULTS In the validation set of 37 Lung-RADS 4 patients, all circulating cellular biomarker counts (P < .005; Wilcoxon test) and positivity rates were significantly higher in 23 biopsy-proven NSCLC patients (CTCs: 23 of 23 [100%], CTC clusters: 6 of 23 [26.1%], and TMF cells: 15 of 23 [65.2%]) than in 14 patients with biopsy-proven benign nodules (6 of 14 [42.9%], 0 of 14 [0%], and 2 of 14 [14.3%]). On the basis of cutoff values from the training set, logistic regression with receiver operating characteristic and area under the curve analyses demonstrated that CTCs (sensitivity: 0.870, specificity: 1.0, and area under the curve: 0.989) and TMF cells (0.652; 0.880; 0.790) complement LDCT in diagnosing NSCLC in Lung-RADS 4 patients. CONCLUSION Cellular liquid biomarkers have a potential to complement LDCT interpretation of suspicious Lung-RADS 4 nodules to distinguish NSCLC from benign lung nodules. A future prospective, large-scale, multicenter clinical trial should validate the role of cellular liquid biomarkers in improving diagnostic accuracy in high-risk patients with Lung-RADS 4 nodules.
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Affiliation(s)
- Yariswamy Manjunath
- Department of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.,Harry S. Truman Memorial Veterans' Hospital, Columbia, MO
| | - Kanve Nagaraj Suvilesh
- Department of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO
| | - Jonathan B Mitchem
- Department of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.,Harry S. Truman Memorial Veterans' Hospital, Columbia, MO.,Siteman Cancer Center, Washington University School of Medicine, St Louis, MO
| | - Diego M Avella Patino
- Department of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.,Harry S. Truman Memorial Veterans' Hospital, Columbia, MO
| | - Eric T Kimchi
- Department of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.,Harry S. Truman Memorial Veterans' Hospital, Columbia, MO.,Siteman Cancer Center, Washington University School of Medicine, St Louis, MO
| | - Kevin F Staveley-O'Carroll
- Department of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.,Harry S. Truman Memorial Veterans' Hospital, Columbia, MO.,Siteman Cancer Center, Washington University School of Medicine, St Louis, MO
| | - Klaus Pantel
- Institute for Tumor Biology, University of Hamburg, Hamburg, Germany
| | - Huang Yi
- Departments of Radiation Oncology, Genetics, and Computer Science and Engineering, Washington University School of Medicine, St Louis, MO
| | - Guangfu Li
- Department of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.,Harry S. Truman Memorial Veterans' Hospital, Columbia, MO
| | - Peter K Harris
- Siteman Cancer Center, Washington University School of Medicine, St Louis, MO.,Departments of Radiation Oncology, Genetics, and Computer Science and Engineering, Washington University School of Medicine, St Louis, MO
| | - Aadel A Chaudhuri
- Siteman Cancer Center, Washington University School of Medicine, St Louis, MO.,Departments of Radiation Oncology, Genetics, and Computer Science and Engineering, Washington University School of Medicine, St Louis, MO
| | - Jussuf T Kaifi
- Department of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.,Harry S. Truman Memorial Veterans' Hospital, Columbia, MO.,Siteman Cancer Center, Washington University School of Medicine, St Louis, MO
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Lone SN, Nisar S, Masoodi T, Singh M, Rizwan A, Hashem S, El-Rifai W, Bedognetti D, Batra SK, Haris M, Bhat AA, Macha MA. Liquid biopsy: a step closer to transform diagnosis, prognosis and future of cancer treatments. Mol Cancer 2022; 21:79. [PMID: 35303879 PMCID: PMC8932066 DOI: 10.1186/s12943-022-01543-7] [Citation(s) in RCA: 243] [Impact Index Per Article: 121.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 02/21/2022] [Indexed: 02/07/2023] Open
Abstract
Over the past decade, invasive techniques for diagnosing and monitoring cancers are slowly being replaced by non-invasive methods such as liquid biopsy. Liquid biopsies have drastically revolutionized the field of clinical oncology, offering ease in tumor sampling, continuous monitoring by repeated sampling, devising personalized therapeutic regimens, and screening for therapeutic resistance. Liquid biopsies consist of isolating tumor-derived entities like circulating tumor cells, circulating tumor DNA, tumor extracellular vesicles, etc., present in the body fluids of patients with cancer, followed by an analysis of genomic and proteomic data contained within them. Methods for isolation and analysis of liquid biopsies have rapidly evolved over the past few years as described in the review, thus providing greater details about tumor characteristics such as tumor progression, tumor staging, heterogeneity, gene mutations, and clonal evolution, etc. Liquid biopsies from cancer patients have opened up newer avenues in detection and continuous monitoring, treatment based on precision medicine, and screening of markers for therapeutic resistance. Though the technology of liquid biopsies is still evolving, its non-invasive nature promises to open new eras in clinical oncology. The purpose of this review is to provide an overview of the current methodologies involved in liquid biopsies and their application in isolating tumor markers for detection, prognosis, and monitoring cancer treatment outcomes.
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Affiliation(s)
- Saife N Lone
- Department of Biotechnology, School of Life Sciences, Central University of Kashmir, Ganderbal, Jammu & Kashmir, India
| | - Sabah Nisar
- Laboratory of Molecular and Metabolic Imaging, Cancer Research Department, Sidra Medicine, PO BOX 26999, Doha, Qatar
| | - Tariq Masoodi
- Laboratory of Molecular and Metabolic Imaging, Cancer Research Department, Sidra Medicine, PO BOX 26999, Doha, Qatar
| | - Mayank Singh
- Department of Medical Oncology, Dr. B. R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Arshi Rizwan
- Department of Nephrology, All India Institute of Medical Sciences, New Delhi, India
| | - Sheema Hashem
- Laboratory of Molecular and Metabolic Imaging, Cancer Research Department, Sidra Medicine, PO BOX 26999, Doha, Qatar
| | - Wael El-Rifai
- Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA
- Department of Veterans Affairs, Miami Healthcare System, Miami, FL, USA
| | - Davide Bedognetti
- Cancer Research Department, Research Branch, Sidra Medicince, Doha, Qatar
- Department of Internal Medicine and Medical Specialities, University of Genova, Genova, Italy
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Surinder K Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, NE 68198, Omaha, USA
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center , Omaha, NE 68198, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, University of Nebraska Medical Center, NE 68198, Omaha, USA
| | - Mohammad Haris
- Laboratory of Molecular and Metabolic Imaging, Cancer Research Department, Sidra Medicine, PO BOX 26999, Doha, Qatar
- Laboratory Animal Research Center, Qatar University, Doha, Qatar
- Center for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
| | - Ajaz A Bhat
- Laboratory of Molecular and Metabolic Imaging, Cancer Research Department, Sidra Medicine, PO BOX 26999, Doha, Qatar.
| | - Muzafar A Macha
- Watson-Crick Centre for Molecular Medicine, Islamic University of Science and Technology, (IUST), 192122, Awantipora, Jammu & Kashmir, India.
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Chiu HY, Chao HS, Chen YM. Application of Artificial Intelligence in Lung Cancer. Cancers (Basel) 2022; 14:1370. [PMID: 35326521 PMCID: PMC8946647 DOI: 10.3390/cancers14061370] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 03/07/2022] [Indexed: 12/12/2022] Open
Abstract
Lung cancer is the leading cause of malignancy-related mortality worldwide due to its heterogeneous features and diagnosis at a late stage. Artificial intelligence (AI) is good at handling a large volume of computational and repeated labor work and is suitable for assisting doctors in analyzing image-dominant diseases like lung cancer. Scientists have shown long-standing efforts to apply AI in lung cancer screening via CXR and chest CT since the 1960s. Several grand challenges were held to find the best AI model. Currently, the FDA have approved several AI programs in CXR and chest CT reading, which enables AI systems to take part in lung cancer detection. Following the success of AI application in the radiology field, AI was applied to digitalized whole slide imaging (WSI) annotation. Integrating with more information, like demographics and clinical data, the AI systems could play a role in decision-making by classifying EGFR mutations and PD-L1 expression. AI systems also help clinicians to estimate the patient's prognosis by predicting drug response, the tumor recurrence rate after surgery, radiotherapy response, and side effects. Though there are still some obstacles, deploying AI systems in the clinical workflow is vital for the foreseeable future.
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Affiliation(s)
- Hwa-Yen Chiu
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan
- Institute of Biophotonics, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
- Division of Internal Medicine, Hsinchu Branch, Taipei Veterans General Hospital, Hsinchu 310, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - Heng-Sheng Chao
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan
- Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - Yuh-Min Chen
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
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Suzuki K, Igata H, Abe M, Yamamoto Y. Multiple cancer type classification by small RNA expression profiles with plasma samples from multiple facilities. Cancer Sci 2022; 113:2144-2166. [PMID: 35218669 PMCID: PMC9207371 DOI: 10.1111/cas.15309] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/03/2022] [Accepted: 02/14/2022] [Indexed: 11/29/2022] Open
Abstract
Liquid biopsy is expected to be a promising cancer screening method because of its low invasiveness and the possibility of detecting multiple types in a single test. In the last decade, many studies on cancer detection using small RNAs in blood have been reported. To put small RNA tests into practical use as a multiple cancer type screening test, it is necessary to develop a method that can be applied to multiple facilities. We collected samples of eight cancer types and healthy controls from 20 facilities to evaluate the performance of cancer type classification. A total of 2,475 cancer samples and 496 healthy control samples were collected using a standardized protocol. After obtaining a small RNA expression profile, we constructed a classification model and evaluated its performance. First, we investigated the classification performance using samples from five single facilities. Each model showed areas under the receiver curve (AUC) ranging from 0.67 to 0.89. Second, we performed principal component analysis (PCA) to examine the characteristics of the facilities. The degree of hemolysis and the data acquisition period affected the expression profiles. Finally, we constructed the classification model by reducing the influence of these factors, and its performance had an AUC of 0.76. The results reveal that small RNA can be used for the classification of cancer types in samples from a single facility. However, interfacility biases will affect the classification of samples from multiple facilities. These findings will provide important insights to improve the performance of multiple cancer type classifications using small RNA expression profiles acquired from multiple facilities.
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Affiliation(s)
- Kuno Suzuki
- Healthcare Business Department, PFDeNA, Inc, Tokyo, Japan
| | | | | | - Yusuke Yamamoto
- Laboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo, Japan
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Herath S, Sadeghi Rad H, Radfar P, Ladwa R, Warkiani M, O’Byrne K, Kulasinghe A. The Role of Circulating Biomarkers in Lung Cancer. Front Oncol 2022; 11:801269. [PMID: 35127511 PMCID: PMC8813755 DOI: 10.3389/fonc.2021.801269] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 12/21/2021] [Indexed: 12/12/2022] Open
Abstract
Lung cancer is the leading cause of cancer morbidity and mortality worldwide and early diagnosis is crucial for the management and treatment of this disease. Non-invasive means of determining tumour information is an appealing diagnostic approach for lung cancers as often accessing and removing tumour tissue can be a limiting factor. In recent years, liquid biopsies have been developed to explore potential circulating tumour biomarkers which are considered reliable surrogates for understanding tumour biology in a non-invasive manner. Most common components assessed in liquid biopsy include circulating tumour cells (CTCs), cell-free DNA (cfDNA), circulating tumour DNA (ctDNA), microRNA and exosomes. This review explores the clinical use of circulating tumour biomarkers found in liquid biopsy for screening, early diagnosis and prognostication of lung cancer patients.
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Pastorino U, Boeri M, Sestini S, Sabia F, Milanese G, Silva M, Suatoni P, Verri C, Cantarutti A, Sverzellati N, Corrao G, Marchianò A, Sozzi G. Baseline computed tomography screening and blood microRNA predict lung cancer risk and define adequate intervals in the BioMILD trial. Ann Oncol 2022; 33:395-405. [DOI: 10.1016/j.annonc.2022.01.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 01/14/2022] [Accepted: 01/19/2022] [Indexed: 12/17/2022] Open
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Toumazis I, Erdogan SA, Bastani M, Leung A, Plevritis SK. A Cost-Effectiveness Analysis of Lung Cancer Screening With Low-Dose Computed Tomography and a Diagnostic Biomarker. JNCI Cancer Spectr 2021; 5:pkab081. [PMID: 34738073 PMCID: PMC8564700 DOI: 10.1093/jncics/pkab081] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 08/12/2021] [Accepted: 08/20/2021] [Indexed: 12/17/2022] Open
Abstract
Background The Lung Computed Tomography Screening Reporting and Data System (Lung-RADS) reduces the false-positive rate of lung cancer screening but introduces prolonged periods of uncertainty for indeterminate findings. We assess the cost-effectiveness of a screening program that assesses indeterminate findings earlier via a hypothetical diagnostic biomarker introduced in place of Lung-RADS 3 and 4A guidelines. Methods We evaluated the performance of the US Preventive Services Task Force (USPSTF) recommendations on lung cancer screening with and without a hypothetical noninvasive diagnostic biomarker using a validated microsimulation model. The diagnostic biomarker assesses the malignancy of indeterminate nodules, replacing Lung-RADS 3 and 4A guidelines, and is characterized by a varying sensitivity profile that depends on nodules' size, specificity, and cost. We tested the robustness of our findings through univariate sensitivity analyses. Results A lung cancer screening program per the USPSTF guidelines that incorporates a diagnostic biomarker with at least medium sensitivity profile and 90% specificity, that costs $250 or less, is cost-effective with an incremental cost-effectiveness ratio lower than $100 000 per quality-adjusted life year, and improves lung cancer-specific mortality reduction while requiring fewer screening exams than the USPSTF guidelines with Lung-RADS. A screening program with a biomarker costing $750 or more is not cost-effective. The health benefits accrued and costs associated with the screening program are sensitive to the disutility of indeterminate findings and specificity of the biomarker, respectively. Conclusions Lung cancer screening that incorporates a diagnostic biomarker, in place of Lung-RADS 3 and 4A guidelines, could improve the cost-effectiveness of the screening program and warrants further investigation.
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Affiliation(s)
- Iakovos Toumazis
- Departments of Biomedical Data Science and Radiology, Stanford University, Stanford, CA, USA
| | - S Ayca Erdogan
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Mehrad Bastani
- Departments of Biomedical Data Science and Radiology, Stanford University, Stanford, CA, USA
| | - Ann Leung
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Sylvia K Plevritis
- Departments of Biomedical Data Science and Radiology, Stanford University, Stanford, CA, USA
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Šutić M, Vukić A, Baranašić J, Försti A, Džubur F, Samaržija M, Jakopović M, Brčić L, Knežević J. Diagnostic, Predictive, and Prognostic Biomarkers in Non-Small Cell Lung Cancer (NSCLC) Management. J Pers Med 2021; 11:1102. [PMID: 34834454 PMCID: PMC8624402 DOI: 10.3390/jpm11111102] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 10/21/2021] [Accepted: 10/25/2021] [Indexed: 12/25/2022] Open
Abstract
Lung cancer is the leading cause of cancer-related deaths worldwide. Despite growing efforts for its early detection by screening populations at risk, the majority of lung cancer patients are still diagnosed in an advanced stage. The management of lung cancer has dramatically improved in the last decade and is no longer based on the "one-fits-all" paradigm or the general histological classification of non-small cell versus small cell lung cancer. Emerging options of targeted therapies and immunotherapies have shifted the management of lung cancer to a more personalized treatment approach, significantly influencing the clinical course and outcome of the disease. Molecular biomarkers have emerged as valuable tools in the prognosis and prediction of therapy response. In this review, we discuss the relevant biomarkers used in the clinical management of lung tumors, from diagnosis to prognosis. We also discuss promising new biomarkers, focusing on non-small cell lung cancer as the most abundant type of lung cancer.
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Affiliation(s)
- Maja Šutić
- Division of Molecular Medicine, Ruđer Bošković Institute, 10000 Zagreb, Croatia; (M.Š.); (A.V.); (J.B.)
| | - Ana Vukić
- Division of Molecular Medicine, Ruđer Bošković Institute, 10000 Zagreb, Croatia; (M.Š.); (A.V.); (J.B.)
| | - Jurica Baranašić
- Division of Molecular Medicine, Ruđer Bošković Institute, 10000 Zagreb, Croatia; (M.Š.); (A.V.); (J.B.)
| | - Asta Försti
- Hopp Children’s Cancer Center (KiTZ), 69120 Heidelberg, Germany;
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Feđa Džubur
- German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; (F.D.); (M.S.); (M.J.)
- Clinical Department for Respiratory Diseases Jordanovac, University Hospital Centre Zagreb, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
| | - Miroslav Samaržija
- German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; (F.D.); (M.S.); (M.J.)
- Clinical Department for Respiratory Diseases Jordanovac, University Hospital Centre Zagreb, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
| | - Marko Jakopović
- German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; (F.D.); (M.S.); (M.J.)
- Clinical Department for Respiratory Diseases Jordanovac, University Hospital Centre Zagreb, School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
| | - Luka Brčić
- Diagnostic and Research Institute of Pathology, Medical University of Graz, 8010 Graz, Austria;
| | - Jelena Knežević
- Division of Molecular Medicine, Ruđer Bošković Institute, 10000 Zagreb, Croatia; (M.Š.); (A.V.); (J.B.)
- Faculties for Dental Medicine and Health, University of Osijek, 31000 Osijek, Croatia
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