scholarly journals Fountain of youth for squamous cell carcinomas? On the epigenetic age of non-small cell lung cancer and corresponding tumor-free lung tissues

2018 ◽  
Vol 143 (12) ◽  
pp. 3061-3070 ◽  
Author(s):  
Sebastian Marwitz ◽  
Lena Heinbockel ◽  
Swetlana Scheufele ◽  
Christian Kugler ◽  
Martin Reck ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Squamous Cell ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Squamous Cell Carcinomas ◽  
Small Cell Lung ◽  
Epigenetic Age ◽  
Fountain Of Youth

A re-evaluation of squamous cell carcinoma antigen (SCC) as a serum marker for non-small cell lung cancer

2007 ◽  
Vol 25 (2) ◽  
pp. 187-189 ◽  
Author(s):  
Katsunori Kagohashi ◽  
Hiroaki Satoh ◽  
Hiroichi Ishikawa ◽  
Morio Ohtsuka ◽  
Kiyohisa Sekizawa
Keyword(s):  
Lung Cancer ◽  
Squamous Cell Carcinoma ◽  
Small Cell Lung Cancer ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Cell Lung Cancer ◽  
Serum Marker ◽  
Small Cell ◽  
Squamous Cell Carcinoma Antigen ◽  
Small Cell Lung

scholarly journals Epidemiologic trends in lung cancer over two decades in Northern Greece: an analysis of bronchoscopic data

2016 ◽  
Vol 71 (4) ◽  
Author(s):  
T. Kontakiotis ◽  
N. Manolakoglou ◽  
F. Zoglopitis ◽  
D. Iakovidis ◽  
L. Sacas ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Squamous Cell Carcinoma ◽  
Small Cell Lung Cancer ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Northern Greece ◽  
Female Ratio

Background and Aim. The relative frequency of histological subtypes of lung cancer in Europe has changed dramatically during the 20th century. The aim of this study was to explore the changing epidemiology of lung cancer in Northern Greece over the last two decades. Methods. From the extensive database of the Bronchoscopy Unit of the G. Papanicolaou General Hospital, Thessaloniki, Greece, we identified all patients with a histologic and/or cytologic report positive for lung cancer over two consecutive decades. Results. Between 1/1/1986 and 31/12/2005 we identified 9981 patients with specimens positive for lung cancer. A significant increase in mean patient age was observed during the second decade (64.8±9.4 vs. 62.1±8.9, p=0.001). Men developed lung cancer ten times more often than women. The predominant histological type was squamous cell cancer in males (4203 cases, 45.7%) and adenocarcinoma (418 cases, 52.6%) in females. The number of lung cancer cases was significantly higher during the second decade compared to the first decade (5766 cases [57.8%] vs. 4215 cases [42.2%], respectively, p<0.001). There was a significant decrease in the percentage of squamous cell carcinoma in males in the second decade (2317 cases [44.1%] vs. 1886 cases [48.0%], p<0.001), and an increase in adenocarcinoma (1021 cases [19.4%] vs. 609 [11.6%], p<0.001). In females, the relative incidence of adenocarcinoma was decreased and that of squamous cell carcinoma was increased, but not significantly. There was no obvious change in the incidence of small cell lung cancer. Neoplastic lesions were most often located in the upper lobes. Conclusion. The number of lung cancer cases has increased in the last decade. Squamous lung cancer appears to be decreasing in men and increasing in women. Adenocarcinoma appears to be increasing in men and decreasing in women. There appears to be no change in small cell lung cancer. During the second decade there has been a significant decrease in the male: female ratio.

scholarly journals Mutation profile of non-small cell lung cancer revealed by next generation sequencing

2020 ◽  
Author(s):  
Ya-Sian Chang ◽  
Siang-Jyun Tu ◽  
Yu-Chia Chen ◽  
Ting-Yuan Liu ◽  
Ya-Ting Lee ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Squamous Cell Carcinoma ◽  
Small Cell Lung Cancer ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Cell Lung Cancer ◽  
Targeted Therapies ◽  
Small Cell ◽  
Small Cell Lung ◽  
Whole Exome

Abstract Background: Precision therapy for lung cancer requires comprehensive genomic analyses. Specific effects of targeted therapies have been reported in Asia populations, including Taiwanese, but genomic studies have rarely been performed in these populations. Method: We enrolled 72 patients with non-small cell lung cancer, of whom 61 had adenocarcinoma, 10 had squamous cell carcinoma, and 1 had combined adenocarcinoma and squamous cell carcinoma. Whole-exome or targeted gene sequencing was performed. To identify trunk mutations, we performed whole-exome sequencing in two tumor regions in four patients. Results: Nineteen known driver mutations in EGFR, PIK3CA, KRAS, CTNNB1, and MET were identified in 34 of the 72 tumors evaluated (47.22%). A comparison with the Cancer Genome Atlas dataset showed that EGFR was mutated at a much higher frequency in our cohort than in Caucasians, whereas KRAS and TP53 mutations were found in only 5.56% and 25% of our Taiwanese patients, respectively. We also identified new mutations in ARID1A, ARID2, CDK12, CHEK2, GNAS, H3F3A, KDM6A, KMT2C, NOTCH1, RB1, RBM10, RUNX1, SETD2, SF3B1, SMARCA4, THRAP3, TP53, and ZMYM2. Moreover, all ClinVar pathogenic variants were trunk mutations present in two regions of a tumor. RNA sequencing revealed that the trunk or branch genes were expressed at similar levels among different tumor regions.Conclusions: We identified novel variants potentially associated with lung cancer tumorigenesis. The specific mutation pattern in Taiwanese patients with non-small cell lung cancer may influence targeted therapies.

scholarly journals Identifying Cross-Scale Associations between Radiomic and Pathomic Signatures of Non-Small Cell Lung Cancer Subtypes: Preliminary Results

Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3663
Author(s):  
Charlems Alvarez-Jimenez ◽  
Alvaro A. Sandino ◽  
Prateek Prasanna ◽  
Amit Gupta ◽  
Satish E. Viswanath ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Density ◽  
Squamous Cell ◽  
Cell Lung Cancer ◽  
Ct Images ◽  
Small Cell ◽  
Small Cell Lung ◽  
Cancer Subtypes ◽  
Initial Results

(1) Background: Despite the complementarity between radiology and histopathology, both from a diagnostic and a prognostic perspective, quantitative analyses of these modalities are usually performed in disconnected silos. This work presents initial results for differentiating two major non-small cell lung cancer (NSCLC) subtypes by exploring cross-scale associations between Computed Tomography (CT) images and corresponding digitized pathology images. (2) Methods: The analysis comprised three phases, (i) a multi-resolution cell density quantification to identify discriminant pathomic patterns for differentiating adenocarcinoma (ADC) and squamous cell carcinoma (SCC), (ii) radiomic characterization of CT images by using Haralick descriptors to quantify tumor textural heterogeneity as represented by gray-level co-occurrences to discriminate the two pathological subtypes, and (iii) quantitative correlation analysis between the multi-modal features to identify potential associations between them. This analysis was carried out using two publicly available digitized pathology databases (117 cases from TCGA and 54 cases from CPTAC) and a public radiological collection of CT images (101 cases from NSCLC-R). (3) Results: The top-ranked cell density pathomic features from the histopathology analysis were correlation, contrast, homogeneity, sum of entropy and difference of variance; which yielded a cross-validated AUC of 0.72 ± 0.02 on the training set (CPTAC) and hold-out validation AUC of 0.77 on the testing set (TCGA). Top-ranked co-occurrence radiomic features within NSCLC-R were contrast, correlation and sum of entropy which yielded a cross-validated AUC of 0.72 ± 0.01. Preliminary but significant cross-scale associations were identified between cell density statistics and CT intensity values using matched specimens available in the TCGA cohort, which were used to significantly improve the overall discriminatory performance of radiomic features in differentiating NSCLC subtypes (AUC = 0.78 ± 0.01). (4) Conclusions: Initial results suggest that cross-scale associations may exist between digital pathology and CT imaging which can be used to identify relevant radiomic and histopathology features to accurately distinguish lung adenocarcinomas from squamous cell carcinomas.

Sign in / Sign up

Export Citation Format

Share Document