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Clinical Pathology of Lung Cancer

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Pathophysiology".

Deadline for manuscript submissions: closed (15 April 2025) | Viewed by 580

Special Issue Editor


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Guest Editor
Pathology Unit, University Hospital of Parma, Parma, Italy
Interests: lung cancer; pathology; diagnosis; treatment; targeted therapies; immunotherapy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Lung cancer is one of the most common causes of cancer deaths in men and women. Tobacco is the principal cause of lung cancer, but other causes include environmental exposure, asbestos, radon, exposure to ionizing radiation and polycyclic aromatic hydrocarbons. Radiotherapy has also been proposed as a possible contributory cause in patients treated for breast cancer and Hodgkin lymphoma.

On suspicion of lung cancer, CT imaging is necessary to guide diagnosis. Tissue biopsy is mandatory to determine the histological type of tumor and will guide both the molecular investigations and the biomarkers performed. Once the diagnosis has been made, it is desirable to perform a PET scan to understand the extent of the disease, and brain magnetic resonance imaging (MRI) to assess if there are brain metastases and complete the disease staging.

Early diagnosis and the therapeutic innovations which have appeared in recent years (targeted therapies or different modalities of immunotherapy) have changed the therapeutic approach and also the course of the disease. At the same time, current therapies have highlighted new toxicities and resistances that increasingly lead to re-biopsy and liquid biopsy for the evaluation of minimal residual disease too.

For all these reasons, we believe that this Special Issue will be of interest to all medical specialties that contribute to the diagnosis and treatment of lung cancer.

Dr. Letizia Gnetti
Guest Editor

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Keywords

  • lung cancer
  • pathology
  • diagnosis
  • treatment
  • targeted therapies
  • immunotherapy

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Published Papers (1 paper)

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Research

13 pages, 1031 KiB  
Article
Analysis of Factors Affecting the Diagnostic Efficacy of Frozen Sections for Tumor Spread Through Air Spaces in Lung Adenocarcinoma
by Xin Liu, Yun Ding, Jie Ren, Jiuzhen Li, Kai Wang, Shuai Sun, Weiran Zhang, Meilin Xu, Yuhao Jing, Guozheng Gao, Wenkang Zong and Daqiang Sun
Cancers 2025, 17(13), 2168; https://doi.org/10.3390/cancers17132168 - 27 Jun 2025
Viewed by 200
Abstract
Objectives: This study aimed to determine the factors affecting the diagnostic efficacy of frozen sections for assessing tumor spread through air spaces (STAS) and to provide suggestions for the sampling of these frozen sections. Methods: Cases of invasive adenocarcinoma with a [...] Read more.
Objectives: This study aimed to determine the factors affecting the diagnostic efficacy of frozen sections for assessing tumor spread through air spaces (STAS) and to provide suggestions for the sampling of these frozen sections. Methods: Cases of invasive adenocarcinoma with a pathological diagnosis of stage IA-IIIB were screened, and frozen and paraffin sections were reviewed. Using paraffin sections as the gold standard, the consistency of frozen pathological diagnosis of STAS was calculated. Factors that may affect STAS diagnosis in frozen sections were screened, and a nomogram was drawn. Results: The sensitivity of frozen sections in STAS diagnosis was 55.4% (108/195), the specificity was 74.5% (254/321), and the kappa value was 0.35. In the subsequent logistic regression, the ratio of the tissue diameters of the frozen and paraffin sections, number of frozen section sheets, clarity of the tumor boundary, and number of alveoli from the peritumoral area to tissue edge were all statistically significantly significant (p < 0.05) factors affecting the frozen STAS diagnostic efficacy. Conclusions: The diagnostic efficacy of frozen sections for STAS is poor. In our study, the tissue diameter ratio of the frozen to paraffin sections, the number of frozen sections, the clarity of the tumor boundary, and the number of alveoli from the peritumoral tissue to the tissue edge were considered independent factors affecting diagnostic consistency. The accuracy of the frozen section analysis in STAS diagnosis can be improved by our reasonable suggestions on frozen sampling, making it a reliable indicator of the surgical method. Full article
(This article belongs to the Special Issue Clinical Pathology of Lung Cancer)
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