scholarly journals Surgical Resection for a Second Primary Lung Cancer Originating Close to the Initial Surgical Margin for Lung Squamous Cell Carcinoma

2015 ◽  
Vol 2015 ◽  
pp. 1-5
Author(s):  
Seijiro Sato ◽  
Terumoto Koike ◽  
Takehisa Hashimoto ◽  
Masanori Tsuchida

Few reports have described surgical resection for second primary lung cancers originating close to the initial surgical margin for lung cancer. A 64-year-old man had undergone left segmentectomy with lymph node dissection for small peripheral squamous cell lung cancer using video-assisted thoracic surgery, with pathology confirming a small tumor 12 mm in diameter identified about 3 cm from the surgical margin. Eighteen months after initial surgery, computed tomography revealed a 30 mm pulmonary nodule close to the initial surgical margin in the residual left upper lobe and the serum level of carcinoembryonic antigen was found to be increased. Local recurrence on the staple-line of the surgical margin was suspected, and completion left upper lobectomy was performed. Histological examination identified not only a squamous cell carcinoma component but also a small cell carcinoma component. The immunohistochemical staining pattern of the second tumor differed from that of the initial resected lung squamous cell carcinoma. The final pathological diagnosis was a second primary tumor with mixed small cell carcinoma and squamous cell carcinoma histology.

2014 ◽  
Vol 142 (1-2) ◽  
pp. 23-28
Author(s):  
Milic Medenica ◽  
Miras Medenica ◽  
Olivera Bojovic ◽  
Ivan Soldatovic ◽  
Ivana Durutovic

Introduction. Lung cancer is one of the most common malignant neoplasms, as well as the most common cause of death cancer. Most lung cancers are squamous cell carcinomas, small cell carcinomas or adenocarcinomas. Objective. Examining changes in trends of lung cancer incidence in Montenegro by histological type during a 15-year period, from 1997 to 2011. Methods. During the study period, histopathological confirmation was obtained for all primary lung cancer cases in the only hospital for lung diseases in the country. Based on the data from medical records, patients were classified by time period, sex, age groups and smoking history. Descriptive method was used. Results. Ratio between incidences of adenocarcinoma and squamous cell carcinoma changes in males, with a significant increase in the incidence rate of adenocarcinoma and drop in the rate of squamous cell carcinoma (p<0.001). In addition, statistically significant (p<0.05) decrease in the incidence of NSCLC (non-small cell lung cancer) and an increase in the incidence of SCLC (small cell lung cancer) was found. A statistically significant increase in linear trend in the incidence of small cell carcinoma was noted in females (p<0.005). Conclusion. Incidence rates of adenocarcinoma and small cell carcinoma have increased during the study period.


2020 ◽  
pp. 1-12
Author(s):  
Jiangqing Yu ◽  
Fen Du ◽  
Liping Yang ◽  
Ling Chen ◽  
Yuanxiang He ◽  
...  

BACKGROUND: Histological subtypes of lung cancer are crucial for making treatment decisions. However, multi-subtype classifications including adenocarcinoma (AC), squamous cell carcinoma (SqCC) and small cell carcinoma (SCLC) were rare in the previous studies. This study aimed at identifying and screening potential serum biomarkers for the simultaneous classification of AC, SqCC and SCLC. PATIENTS AND METHODS: A total of 143 serum samples of AC, SqCC and SCLC were analyzed by 1HNMR and UPLC-MS/MS. The stepwise discriminant analysis (DA) and multilayer perceptronMLPwere employed to screen the most efficient combinations of markers for classification. RESULTS: The results of non-targeted metabolomics analysis showed that the changes of metabolites of choline, lipid or amino acid might contribute to the classification of lung cancer subtypes. 17 metabolites in those pathways were further quantified by UPLC-MS/MS. DA screened out that serum xanthine, S-Adenosyl methionine (SAM), carcinoembryonic antigen (CEA), neuron-specific enolase (NSE) and squamous cell carcinoma antigen (SCC) contributed significantly to the classification of AC, SqCC and SCLC. The average accuracy of 92.3% and the area under the receiver operating characteristic curve of 0.97 would be achieved by MLP model when a combination of those five variables as input parameters. CONCLUSION: Our findings suggested that metabolomics was helpful in screening potential serum markers for lung cancer classification. The MLP model established can be used for the simultaneous diagnosis of AC, SqCC and SCLC with high accuracy, which is worthy of further study.


Haigan ◽  
2016 ◽  
Vol 56 (5) ◽  
pp. 397-398
Author(s):  
Yasuhiro Nakashima ◽  
Katsuo Kojima ◽  
Reiko Taki ◽  
Urara Sakurai ◽  
Kazuhiro Taki ◽  
...  

2021 ◽  
Author(s):  
Jun Zhu ◽  
Lingfei Lu ◽  
Yong Fan ◽  
Caicun Zhou

The morbidity and mortality of lung cancer, especially squamous cell carcinoma non-small cell lung cancer (NSCLC), is significantly higher than other malignant tumors. Currently, there is a lack of real-time...


2018 ◽  
Vol 57 (23) ◽  
pp. 3419-3422
Author(s):  
Yoshiaki Zaizen ◽  
Takaaki Tokito ◽  
Ken Masuda ◽  
Koichi Azuma ◽  
Yoshiki Naito ◽  
...  

2021 ◽  
Author(s):  
Jiahao Cai ◽  
Jie Gu ◽  
Di Ge ◽  
Fengkai Xu

Abstract BACKGROUNDThe incidence of lung cancer ranks first among malignant tumors all over the world. Based on the histological features, lung cancer could be divided into small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), of which non-small cell lung cancer accounts for about 80%. NSCLC mainly includes lung squamous cell carcinoma (LUSC), lung adenocarcinoma (LUAD), and large cell lung cancer (LLC). Most of the patients were diagnosed at a late stage, which means the 5-year overall survival rate for patients was shallow. According to the situation, new biomarkers are needed to recognize patients at high risk, which would help give them appropriate treatment to improve their outcomes.Ferroptosis, an important iron-dependent cell death driven by oxidative phospholipid damage and characterized by lipid peroxidation, was recently found to play a novel role in several cancers. Existing research have identified many genes related to ferroptosis in tumor tissues. However, research on ferroptosis-genes-related long non-coding RNA (lncRNA) in lung cancer is still insufficient. METHODSWe acquired the statistics from the public database TCGA Lung Squamous Cell Carcinoma (LUSC). Then a multi-lncRNA signature was constructed to recognize patients at high risk based on differentially expressed ferroptosis-genes-related lncRNAs in lung squamous cell carcinoma. RESULTSWe finally identified eight differently expressed ferroptosis-genes-related lncRNAs are predictive of outcomes in LUSC patients. Kaplan-Meier analyses revealed that the high-risk-related lncRNAs signature has strong predictive power for poor LUSC prognosis (AUC=0.686). Our risk-predictive model was superordinate to the traditional predictive method based on clinicopathological characteristics (Stage, AUC=0.563). Gene set enrichment analysis (GSEA) revealed signaling pathways that ferroptosis-genes-related lncRNAs may participate in. Further study of immune function-related gene sets showed that parainflammation, APC co-stimulation, inflammation-promoting, T cell co-stimulation, Type I and type II INF response were significantly associated with risk-related lncRNAs signature. Immune checkpoint-related genes such as PDCD-1, CD70, CD28, and CD27, etc., also expressed differently between the two risk groups.CONCLUSIONThe specific differentially expressed ferroptosis-related lncRNAs have a strong predictive effect on the prognosis in patients with lung squamous cell carcinoma.


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