Lung Cancer: Updates on Therapy and Prognostic Prediction
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Causes, Screening and Diagnosis".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 175
Special Issue Editor
2. National Center for Tumor Diseases (NCT) West, Essen, Germany
Interests: thoracic surgery; lung cancer; pulmonary metastases; chest wall surgery; mesothelioma
Special Issue Information
Dear Colleagues,
Lung cancer remains one of the most prevalent and deadliest forms of cancer worldwide, representing a significant challenge for healthcare systems across the globe. Despite advancements in diagnostic methods and therapeutic approaches, lung cancer continues to account for the highest number of cancer-related deaths, largely due to late-stage diagnosis and its aggressive nature.
Over the past decade, there have been remarkable developments in lung cancer treatment, including targeted therapies, immunotherapies, and improved surgical techniques. These breakthroughs have improved survival rates and quality of life for patients, yet the need for individualized treatment strategies is more critical than ever. Given the genetic diversity of lung cancer and its complex biology, there is an increasing demand for precision medicine approaches that not only address the tumor's molecular characteristics but also consider the patient’s overall health and comorbidities.
Equally important in the fight against lung cancer is the ability to accurately predict disease progression and patient prognosis. Early detection and reliable prognostic models are essential for optimizing treatment decisions, improving outcomes, and reducing unnecessary treatment-related toxicities. Emerging biomarkers, artificial intelligence-driven prediction models, and next-generation sequencing are paving the way for more precise and personalized prognostic tools.
In this Special Issue, original research articles and reviews are welcome. We aim to highlight innovative treatment strategies, novel approaches to prognostic prediction, and the latest advancements in lung cancer management. By bringing together cutting-edge research in these critical areas, this Issue seeks to provide a comprehensive update that will inform clinical practice and shape future research in the management of lung cancer.
Prof. Dr. Servet Bölükbas
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- lung cancer
- targeted therapy
- immunotherapy
- prognostic prediction
- precision medicine
- biomarkers
- artificial intelligence
- next-generation sequencing
- personalized treatment
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