Lung cancer is the most common fatal cancer. Pulmonary Oncology is a major focus of research at UCL Respiratory, from basic science investigation of how lung cancer develops to clinical trials.
Are robotics and AI the secrets to earlier lung cancer diagnosis?
Dr Neal Navani discusses the lung cancer screening SUMMIT, promising innovations in lung cancer diagnostics, and what they might mean for the future of lung cancer care. Cancer Research UK's Lung Cancer Centre of Excellence, UCL and University College London Hospital (UCLH) are at the forefront of lung cancer innovations, pioneering diagnostic modalities such as endobronchial ultrasound.
Principal Investigators
World-leading research
Lung cancer is the leading cause of cancer-related deaths worldwide. It causes 35,000 deaths per year in the UK alone. Other cancers of the respiratory system (e.g. mesothelioma, a cancer of the pleura) are also important causes of morbidity and mortality.
Around one third of lung cancer cases arise from precancerous lesions in the airway epithelium. However, only around half of these lesions progress to incurable invasive cancer, while the rest remain stable or even disappear.
The Janes group conducts world-leading airway stem cell biology and lung cancer research to delineate the biological processes supporting airway homeostasis and to identify the earliest cellular and molecular events causing lung cancer. It also develops innovative methods of lung cancer diagnosis, staging and treatment, as well as tissue engineering strategies to replace damaged airways.
Publications
- Aslani S, Alluri P, Gudmundsson E ... Janes SM ... Jacob J (2024). Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning. Comput Med Imaging Graph. 2024 May 20;116: 102399. Epub ahead of print.
- Cheng DO, Khaw CR, McCabe J ... Janes SM, Jacob J (2024). Predicting histopathological features of aggressiveness in lung cancer using CT radiomics: a systematic review. Clin Radiol. 2024 May 17: S0009-9260(24)00248-4.
- Giddings R, Joseph A, Callender T, Janes SM ... Navani N (2024). Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review. Lancet Digit Health. 2024 Feb;6(2): e131-e144.
- Black GB, Janes SM, et al (2024). The Role of Smoking Status in Making Risk-Informed Diagnostic Decisions in the Lung Cancer Pathway: A Qualitative Study of Health Care Professionals and Patients. Med Decis Making. 2024 Feb;44(2): 152-162.
- Callender T, Imrie F ... Navani N, van der Schaar M, Janes SM (2024). Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: development and validation study. PLoS Med. 2023 Oct 3;20(10): e1004287.
- Creamer AW, Horst C, Dickson JL ... Janes SM; SUMMIT Consortium (2024). Stage at Diagnosis Following Delay to Interval Scans for Indeterminate Nodules in Lung Cancer Screening: An Observational Study Examining the Outcomes of CHEST Expert Panel Recommendations. Chest. 2024 Apr;165(4): 1020-1024.
- Hynds RE, Huebner A, Pearce DR, Hill MS ... Janes SM, et al (2024). Representation of genomic intratumor heterogeneity in multi-region non-small cell lung cancer patient-derived xenograft models. Nat Commun. 2024 May 31;15(1): 4653.
- Succony L, Gómez-López S, Pennycuick A, Alhendi ASN ... Janes SM (2022). Lrig1 expression identifies airway basal cells with high proliferative capacity and restricts lung squamous cell carcinoma growth. Eur Respir J. 2022 Mar 31;59(3): 2000816.
- Pennycuick A, Teixeira VH, AbdulJabbar K, Raza SEA ... Thakrar RM ... Janes SM (2020). Immune Surveillance in Clinical Regression of Preinvasive Squamous Cell Lung Cancer. Cancer Discov. 2020 Oct;10(10): 1489-1499.
- Yoshida K, Gowers KHC, Lee-Six H ... Thakrar RM ... Janes SM, et al (2020). Tobacco smoking and somatic mutations in human bronchial epithelium. Nature. 2020 Feb; 578(7794): 266-272.
Funding and Partners
Can collaborative partnerships with industry drive vital improvements in lung cancer outcomes?
Technology can transform the way we work by optimising patient pathways to provide faster access to diagnostics and treatment. Vicky Heaton and Dr Neal Navani discuss how industry partnerships can achieve faster diagnosis and treatment in lung cancer care. A new lung cancer pathway optimisation initiative, PATHFINDER, has the potential to benefit patients, healthcare professionals and the NHS.