Current Challenge and Future Advances for Lung Cancer: Genetics, Instrumental Diagnosis and Treatment 2.0

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Causes, Screening and Diagnosis".

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 805

Special Issue Editor


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Guest Editor
Thoracic Surgery Unit, University of Campania Luigi Vanvitelli, I-80138 Naples, Italy
Interests: lung cancer; diagnosis; treatment; therapy; surrogate biomarkers; preclinical and translational research
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is the second edition of the previous Special Issue entitled the "Current Challenge and Future Advances for Lung Cancer: Genetics, Instrumental Diagnosis and Treatment"
(https://www.mdpi.com/journal/cancers/special_issues/Lung_Cancer_Genetics_Instrumental_Diagnosis_Treatment).

Lung cancer remains a malignancy with a poor prognosis, with only 20% of patients reporting an overall survival rate longer than five years from diagnosis. The prognosis of these patients has not significantly improved, despite the developments in the definition of the genetic evolution of lung cancer, the greater accuracy of diagnostic procedures, and the refinement of treatments using multimodal regimens, including surgery, radiotherapy, and systemic therapy (chemotherapy, immunotherapy, and targeted therapy).

Therefore, this Special Issue will include data on potential new diagnostic and therapeutic discoveries that aim to improve the prognosis of lung cancer patients. In particular, the most recent acquisitions regarding the biology of lung cancer (both non-small- and small-cell lung cancer), such as specific gene mutations, genomic heterogeneity, and the discovery of new biomarkers, will be highlighted.

Furthermore, we welcome papers that cover the following topics: (1) developments in diagnostic methods for the early diagnosis of lung cancer, including radiological studies; (2) studies or reviews on innovative aspects of lung cancer treatment in the fields of surgery, radiotherapy, and medical treatments; and (3) studies on real life experiences of multimodal approaches.

Ultimately, for this Special Issue, we welcome basic translational and clinical research papers, studies on cancer biomarkers, professional opinions, and reviews in the broad field of lung cancer diagnosis and therapy in the following categories:

  • Lung cancer diagnosis.
  • Lung cancer metastases (with an emphasis on CNS metastases).
  • Lung cancer surgery.
  • Lung cancer radiotherapy.
  • Lung cancer chemotherapy.
  • Lung cancer target therapies.
  • Lung cancer immunotherapy.
  • Elderly populations with lung cancer.
  • Side effects of lung cancer therapies.
  • Surrogate biomarkers in lung cancer.
  • Preclinical and translational research in lung cancer.

Dr. Giovanni Vicidomini
Guest Editor

Manuscript Submission Information

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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
  • diagnosis
  • treatment
  • therapy
  • cancer metastases (with an emphasis on CNS metastases)
  • surgery
  • radiotherapy
  • chemotherapy
  • target therapies
  • immunotherapy
  • elderly with lung cancer
  • side effects
  • surrogate biomarkers
  • preclinical research
  • translational research

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Published Papers (1 paper)

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Research

12 pages, 900 KiB  
Article
Enhanced Lung Cancer Detection Using a Combined Ratio of Antigen–Autoantibody Immune Complexes against CYFRA 21-1 and p53
by Heyjin Kim, Jin Kyung Lee, Hye-Ryoun Kim and Young Jun Hong
Cancers 2024, 16(15), 2661; https://doi.org/10.3390/cancers16152661 - 26 Jul 2024
Viewed by 368
Abstract
The early detection of lung cancer (LC) improves patient outcomes, but current methods have limitations. Autoantibodies against tumor-associated antigens have potential as early biomarkers. This study evaluated the 9G testTM Cancer/Lung, measuring circulating complexes of two antigen–autoantibody immune complexes (AIC) against their [...] Read more.
The early detection of lung cancer (LC) improves patient outcomes, but current methods have limitations. Autoantibodies against tumor-associated antigens have potential as early biomarkers. This study evaluated the 9G testTM Cancer/Lung, measuring circulating complexes of two antigen–autoantibody immune complexes (AIC) against their respective free antigens (CYFRA 21-1 and p53) for LC diagnosis. We analyzed 100 LC patients and 119 healthy controls using the 9G testTM Cancer/Lung, quantifying the levels of AICs (CYFRA 21-1-Anti-CYFRA 21-1 autoantibody immune complex (CIC) and p53-Anti-p53 autoantibody immune complex (PIC)), free antigens (CYFRA 21-1 and p53), and ratios of AICs/antigens (LC index). The levels of the CICs and PICs were significantly elevated in LC compared to the controls (p < 0.0062 and p < 0.0026), while free antigens showed no significant difference. The CIC/CYFRA 21-1 and PIC/p53 ratios were also significantly higher in LC (all, p < 0.0001). The LC index, when combining both ratios, exhibited the best diagnostic performance with an area under the curve (AUC) of 0.945, exceeding individual CICs, PICs, and free antigens (AUCs ≤ 0.887). At a cut-off of 3.60, the LC index achieved 81% sensitivity and 95% specificity for LC diagnosis. It detected early-stage (Stage I–II) LC with 87.5% sensitivity, exceeding its performance in advanced stages (72.7%). The LC index showed no significant differences based on age, gender, smoking status (former, current, or never smoker), or pack years smoked. The LC index demonstrates promising potential for early LC diagnosis, exceeding conventional free antigen markers. Full article
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