GET THE APP

Lung Cancer: Recent Advances and Future Directions in Diagnosis, Management and Treatment
..

Journal of Lung Diseases & Treatment

ISSN: 2472-1018

Open Access

Perspective - (2023) Volume 9, Issue 1

Lung Cancer: Recent Advances and Future Directions in Diagnosis, Management and Treatment

Anna Jones*
*Correspondence: Anna Jones, Department of Respiratory Medicine, University Hospital of London, London, UK, Email:
Department of Respiratory Medicine, University Hospital of London, London, UK

Received: 31-Dec-2022, Manuscript No. LDT-23-95149; Editor assigned: 03-Jan-2023, Pre QC No. P-95149; Reviewed: 17-Jan-2023, QC No. Q-95149; Revised: 23-Jan-2023, Manuscript No. R-95149; Published: 31-Jan-2023 , DOI: 10.37421/2472-1018.2023.9.171
Citation: Jones, Anna. "Lung Cancer: Recent Advances and Future Directions in Diagnosis, Management and Treatment."? J Lung Dis Treat 9 (2023): 171.
Copyright: © 2023 Jones A. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Introduction

Lung cancer is a highly prevalent and deadly disease, with a mortality rate that has remained unchanged for many years. In recent years, however, significant advances have been made in the diagnosis, management and treatment of lung cancer. This research article aims to review the latest advances in lung cancer diagnosis, management and treatment and to outline future directions in this field [1,2].

Description

Early diagnosis of lung cancer is critical to improve survival rates. Recent advances in diagnostic tools and techniques have helped to increase the accuracy of lung cancer diagnosis. For example, low-dose computed tomography (LDCT) screening has shown promising results in detecting lung cancer at an early stage. Additionally, the use of liquid biopsy, which involves analyzing circulating tumor DNA, has shown great potential in diagnosing lung cancer [3]. The management of lung cancer involves a multidisciplinary approach, which includes surgery, chemotherapy, radiation therapy and targeted therapy. Recent advances in the field have led to the development of more personalized treatment options. For example, the use of immunotherapy has shown great promise in the treatment of non-small cell lung cancer (NSCLC). Additionally, the use of targeted therapy, which involves targeting specific molecular abnormalities in cancer cells, has revolutionized the treatment of lung cancer [4].

The treatment of lung cancer is evolving rapidly, with new treatments becoming available every year. For example, the use of immunotherapy has become a standard of care for patients with advanced NSCLC. Additionally, the use of targeted therapy has shown great promise in the treatment of NSCLC patients with specific molecular abnormalities. Moreover, the development of novel therapies, such as gene therapy, has opened up new avenues for the treatment of lung cancer. Despite the recent advances in the diagnosis, management and treatment of lung cancer, there is still much room for improvement. Future directions in this field include the development of more effective screening tools to detect lung cancer at an early stage. Additionally, the development of more personalized treatment options, including the use of precision medicine, will likely lead to better outcomes for lung cancer patients. The use of artificial intelligence and machine learning in the diagnosis and treatment of lung cancer is also an exciting area of research [5].

Conclusion

Lung cancer remains a major public health challenge, but recent advances in the diagnosis, management and treatment of the disease have improved patient outcomes significantly. The development of personalized treatment options and the use of novel therapies, including immunotherapy and targeted therapy, have revolutionized the field of lung cancer treatment. Future directions in this field include the development of more effective screening tools, the use of precision medicine and the incorporation of artificial intelligence and machine learning into lung cancer diagnosis and treatment.

References

  1. Herbst, Roy S., Daniel Morgensztern, and Chris Boshoff. "The biology and management of non-small cell lung cancer." Nature 553 (2018): 446-454.
  2. Google Scholar, Crossref, Indexed at

  3. Travis, William D., Elisabeth Brambilla, Andrew G. Nicholson and Lucian R. Chirieac, et al. "The 2015 World Health Organization classification of lung tumors: Impact of genetic, clinical and radiologic advances since the 2004 classification." J Thorac Oncol 10 (2015): 1243-1260.
  4. Google Scholar, Crossref, Indexed at

  5. Detterbeck, Frank C., Daniel J. Boffa, Anthony W. Kim and Lynn T. Tanoue. "The eighth edition lung cancer stage classification." Chest 151 (2017): 193-203.
  6. Google Scholar, Crossref, Indexed at

  7. Oxnard, Geoffrey R., Kenneth S. Thress, Ryan S. Alden and Pasi A. Jänne, et al. "Association between plasma genotyping and outcomes of treatment with osimertinib (AZD9291) in advanced non–small-cell lung cancerJ Clin Oncol 34 (2016): 3375.
  8. Google Scholar, Crossref, Indexed at

  9. Ettinger, David S., Douglas E. Wood, Wallace Akerley and Richard T. Cheney, et al. "Non–small cell lung cancer, version 6.2015." J Natl Compr Canc Netw 13 (2015): 515-524.
  10. Google Scholar, Crossref, Indexed at

arrow_upward arrow_upward