Nomogram for Predicting Brain Metastases in Lung Squamous Cell Carcinoma Patients: A SEER -Based Study

2020 ◽  
Author(s):  
Jingya Zhang ◽  
Jiali Xu ◽  
Shidai Jin ◽  
Wen Gao ◽  
Renhua Guo ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Calibration Curve ◽  
Histological Grade ◽  
Characteristic Curve ◽  
Lung Squamous Cell Carcinoma ◽  
Tumor Location ◽  
Stage Number ◽  
Training Cohort

Abstract BackgroundThe incidence of brain metastasis (BM) in patients suffering from lung squamous cell carcinoma (LUSC) is lower than that in those suffering from non squamous cell carcinoma (NSCC). The purpose of this investigation is to ascertain the risk factors of LUSC as well as to establish a nomogram prognostic model to predict the incidence of BM.MethodsData about the patients diagnosed with LUSC between 2010 and 2015 were collected from Surveillance, Epidemiology, and End Results (SEER) database. The patients diagnosed during 2010-2012 were divided into the training cohort, and the remaining diagnosed during 2013-2015 into the test cohort. Using factors screened out through logistic regression analyses, we established the nomogram in the training cohort and then evaluated the discrimination and calibration in the test cohort. The prediction performance of nomogram was quantified by AUC（area under ROC(receiver operating characteristic curve)）and evaluated by calibration curve.Results26154 LUSU patients were included: 16543 in the training cohort and 8611 in the test cohort. Age, marital status, insurance status, histological grade, tumor location, laterality, stage, number of metastatic organs, chemotherapy, surgery and radiotherapy were highly related to the incidence of BM. The AUC of nomogram was 0.810 (95% confidence interval (CI): 0.796-0.823) and 0.805 (95%CI: 0.784-0.825) in the training cohort and the test cohort, respectively. The slope of calibration curve was closed to 1. ConclusionsThe nomogram can accurately predict the incidence of BM, which is helpful for the early identification of high-risk LUSU patients and the establishment of individualized treatment.

scholarly journals Identification of key genes associated with progression and prognosis for lung squamous cell carcinoma

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9086 ◽  
Author(s):  
Xiaohan Ma ◽  
Huijun Ren ◽  
Ruoyu Peng ◽  
Yi Li ◽  
Liang Ming
Keyword(s):  
Overall Survival ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Characteristic Curve ◽  
Lung Squamous Cell Carcinoma ◽  
Gene Signature ◽  
The Cancer Genome Atlas ◽  
Hub Genes ◽  
Clinical Prognosis

Background Lung squamous cell carcinoma (LUSC) is a major subtype of lung cancer with limited therapeutic options and poor clinical prognosis. Methods Three datasets (GSE19188, GSE33532 and GSE33479) were obtained from the gene expression omnibus (GEO) database. Differentially expressed genes (DEGs) between LUSC and normal tissues were identified by GEO2R, and functional analysis was employed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) online tool. Protein–protein interaction (PPI) and hub genes were identified via the Search Tool for the Retrieval of Interacting Genes (STRING) and Cytoscape software. Hub genes were further validated in The Cancer Genome Atlas (TCGA) database. Subsequently, survival analysis was performed using the Kapla–Meier curve and Cox progression analysis. Based on univariate and multivariate Cox progression analysis, a gene signature was established to predict overall survival. Receiver operating characteristic curve was used to evaluate the prognostic value of the model. Results A total of 116 up-regulated genes and 84 down-regulated genes were identified. These DEGs were mainly enriched in the two pathways: cell cycle and p53 signaling way. According to the degree of protein nodes in the PPI network, 10 hub genes were identified. The mRNA expression levels of the 10 hub genes in LUSC were also significantly up-regulated in the TCGA database. Furthermore, a novel seven-gene signature (FLRT3, PPP2R2C, MMP3, MMP12, CAPN8, FILIP1 and SPP1) from the DEGs was constructed and acted as a significant and independent prognostic signature for LUSC. Conclusions The 10 hub genes might be tightly correlated with LUSC progression. The seven-gene signature might be an independent biomarker with a significant predictive value in LUSC overall survival.

scholarly journals Evaluation of models for predicting the probability of malignancy in patients with pulmonary nodules

2020 ◽  
Vol 40 (2) ◽  
Author(s):  
You Li ◽  
Hui Hu ◽  
Ziwei Wu ◽  
Ge Yan ◽  
Tangwei Wu ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Prediction Model ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prediction Models ◽  
Characteristic Curve ◽  
Lung Squamous Cell Carcinoma ◽  
Pulmonary Nodules ◽  
Lung Cancers ◽  
Imaging Characteristics

Abstract Objectives: The post-imaging, mathematical predictive model was established by combining demographic and imaging characteristics with a pulmonary nodule risk score. The prediction model provides directions for the treatment of pulmonary nodules. Many studies have established predictive models for pulmonary nodules in different populations. However, the predictive factors contained in each model were significantly different. We hypothesized that applying different models to local research groups will make a difference in predicting the benign and malignant lung nodules, distinguishing between early and late lung cancers, and between adenocarcinoma and squamous cell carcinoma. In the present study, we compared four widely used and well-known mathematical prediction models. Materials and methods: We performed a retrospective study of 496 patients from January 2017 to October 2019, they were diagnosed with nodules by pathological. We evaluate models’ performance by viewing 425 malignant and 71 benign patients’ computed tomography results. At the same time, we use the calibration curve and the area under the receiver operating characteristic curve whose abbreviation is AUC to assess one model’s predictive performance. Results: We find that in distinguishing the Benign and the Malignancy, Peking University People’s Hospital model possessed excellent performance (AUC = 0.63), as well as differentiating between early and late lung cancers (AUC = 0.67) and identifying lung adenocarcinoma (AUC = 0.61). While in the identification of lung squamous cell carcinoma, the Veterans Affairs model performed the best (AUC = 0.69). Conclusions: Geographic disparities are an extremely important influence factors, and which clinical features contained in the mathematical prediction model are the key to affect the precision and accuracy.

Hubungan ekspresi p53, Bcl-2, c-Myc dan MMP-9 dengan gambaran klinikopatologi karsinoma sel skuamosa kepala-leher

2016 ◽  
Vol 46 (1) ◽  
pp. 53
Author(s):  
Azwar Azwar ◽  
Sofia Mubarika ◽  
Agus Surono
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Tumor Location ◽  
Neck Squamous Cell Carcinoma ◽  
Second Primary ◽  
Cross Sectional ◽  
P53 Expression ◽  
Local Metastasis

Latar belakang: Karsinoma sel skuamosa kepala dan leher merupakan salah satu kanker terseringdi seluruh dunia. Pendekatan pengobatan agresif dan multidisiplin telah dilakukan, namun belum adapeningkatan yang signifikan dalam kelangsungan hidup 5 tahun, selama 20 tahun terakhir. Kegagalanpengobatan terjadi dalam bentuk kekambuhan lokoregional, metastasis jauh, dan/atau tumor primer kedua.Berbagai penanda molekular tumor telah diteliti untuk mengetahui potensinya dalam memprediksi hasilpenyakit atau respon terhadap terapi.Tujuan: Mengetahui hubungan ekspresi protein p53, Bcl-2, c-Myc,dan MMP-9 berdasarkan gambaran klinikopatologis karsinoma sel skuamosa kepala dan leher di RumahSakit dr. Zainoel Abidin.Metode: Studi menggunakan desain cross sectional. Sampel terdiri dari 60blok parafin karsinoma sel skuamosa kepala dan leher. Prosedur pewarnaan imunohistokimia dilakukandengan menggunakan antibodi monoklonal terhadap p53, Bcl-2, c-Myc, dan MMP-9. Ekspresi proteinp53, Bcl-2, c-Myc, dan MMP-9 dianalisis secara imunohistokimia pada karsinoma sel skuamosa kepaladan leher kemudian hasilnya dihubungkan dengan parameter klinikopatologis seperti usia, jenis kelamin,lokasi tumor, diferensiasi tumor, metastasis kelenjar getah bening dan stadium tumor, kemudian dianalisisstatistik dengan Chi square.Hasil: Hasil penelitian menunjukkan terdapat hubungan bermakna tingkatekspresi p53 dengan metastasis lokal (p=0,021) dan ada hubungan bermakna tingkat ekspresi MMP-9dengan lokasi tumor (p=0,026). Tidak terdapat hubungan ekspresi p53, Bcl-2, cMyc, dan MMP-9 terhadapusia, jenis kelamin, stadium tumor, diferensiasi histologi, tingkat T, N, dan metastasis jauh.Kesimpulan:Ada hubungan ekpresi p53 dengan metastasis kelenjar limfe regional dan ekspresi MMP-9 dengan lokasitumor pada karsinoma sel skuamosa kepala dan leher. Kata kunci: Karsinoma sel skuamosa kepala dan leher, p53, Bcl-2, c-Myc, MMP-9 ABSTRACTBackground: Head and neck squamous cell carcinoma (HNSCC) is one of the most commoncancers world wide. Although aggressive and multidisciplinary approach to the treatment has been done,there is no significant improvement in 5-year survival in the last 20 years. Treatment failure occurredin the form of locoregional recurrence, distant metastasis, and/or a second primary tumor. A variety oftumor molecular markers have been studied to determine their potential in predicting disease outcome orresponse to the therapy. Purpose: To investigate correlation p53, Bcl-2, c-Myc, and MMP-9 expressionto clinicopathologic parameter in head and neck squamous cell carcinoma patient in dr. Zainoel Abidinhospital. Methods: Cross sectional design study. The sample was consisted of 60 paraffin blocks ofhead and neck squamous cell carcinoma. Procedure of immunohistochemical staining used monoclonalantibodies against p53, Bcl-2, c-Myc, and MMP-9. Expression of p53 protein, Bcl-2, c-Myc, and MMP-9were analyzed by immunohistochemistry in head and neck squamous cell carcinoma. Then, the results were linked to clinicopathologic parameters such as age, sex, tumor location, tumor differentiation,lymph node metastasis and tumor stage, and statistically analyzed with Chi square. Results: The resultsshowed there were significant correlation between p53 expression level with local metastasis (p=0,021)and significant correlation of MMP-9 expression levels with tumor location (p=0,026). There were norelationship of p53, Bcl-2, cMyc and MMP-9 expressions based on age, sex, stage tumor, histologicdifferentiation, level of T, N, and distant metastases. Conclusion: There were relationships between p53expression with local metastasis and MMP-9 expression with tumor location in head and neck squamouscell carcinoma. Keywords: Head and neck squamous cell carcinoma, p53, Bcl-2, c-Myc, MMP-9

Investigation of Targeting Relationship between Micro-Rna-22 and Vegfr3 in Lung Squamous Cell Carcinoma

2020 ◽  
Vol 23 ◽  
Author(s):  
Zheng Dong ◽  
Qing-Hua Xu ◽  
Yuan-Bin Zhu ◽  
Yong-Feng Wang ◽  
Jie Xiong ◽  
...  
Keyword(s):  
Vascular Endothelial Growth Factor ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Lung Squamous Cell Carcinoma ◽  
Luciferase Reporter ◽  
Control Group ◽  
Vascular Endothelial ◽  
Luciferase Reporter Gene ◽  
Endothelial Growth Factor

Aims : The present study explored the clinical significance of microRNA-22 (miR-22) expression in lung squamous cell carcinoma and to explore the targeting relationship with vascular endothelial growth factor receptor 3 (VEGFR3). Methods: A total of 49 patients with lung squamous cell carcinoma who underwent surgical treatment was selected. The expression of miR-22 was detected by fluorescence quantitative real-time PCR (qPCR), the expression of VEGFR3 was detected by Western blotting assays, and D240 labeled microlymphatic vessels density (MLVD) was detected immunohistochemistry (IHC). Lung squamous cell carcinoma cell line SK-MES-1 was selected and the targeting relationship between miR-22 and VEGFR3 was analyzed by double luciferase reporter gene assay. Western blotting assays were used to detect the expression of vascular endothelial growth factor-D (VEGF-D) and D240 in the blank control group, empty vector transfection group, miR-22 transfection group, miR-22 and VEGFR3 co-transfection group. Results: The expression range of miR-22 in lung squamous cell carcinoma was 0.8-3.5. The expression of miR-22 in lung squamous cell carcinoma was significantly different by tumor maximum diameter, lymph node metastasis, vascular invasion and TNM stage. The expression of miR-22 was linked to survival time. There was a negative correlation between miR-22 and VEGFR3, miR-22 and MLVD. Double luciferase reporter gene assays showed that miR-22 reduced the luciferase activity of pGL3-VEGFR3-WT transfected cells. Compared with the control group, the expression of VEGF-D and D2-40 in the miR-22 transfection group was significantly decreased. However, VEGF-D and D240 in the miR-22 and VEGFR3 cotransfection group reversed the changes. Conclusion: We assumed that the abnormal expression of miR-22 in lung squamous cell carcinoma may be involved in the development and progression of lung squamous cell carcinoma. MiR-22 negatively regulated the target gene VEGFR3 to mediate lymphangiogenesis. The expression of miR-22 may also be linked to the prognosis of the disease.

scholarly journals Development and validation of an individualized immune prognostic model in stage I–III lung squamous cell carcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Qi-Fan Yang ◽  
Di Wu ◽  
Jian Wang ◽  
Li Ba ◽  
Chen Tian ◽  
...  
Keyword(s):  
Overall Survival ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Model ◽  
Lung Squamous Cell Carcinoma ◽  
Risk Groups ◽  
Stage I ◽  
Tissue Samples ◽  
Mutation Burden

AbstractLung squamous cell carcinoma (LUSC) possesses a poor prognosis even for stages I–III resected patients. Reliable prognostic biomarkers that can stratify and predict clinical outcomes for stage I–III resected LUSC patients are urgently needed. Based on gene expression of LUSC tissue samples from five public datasets, consisting of 687 cases, we developed an immune-related prognostic model (IPM) according to immune genes from ImmPort database. Then, we comprehensively analyzed the immune microenvironment and mutation burden that are significantly associated with this model. According to the IPM, patients were stratified into high- and low-risk groups with markedly distinct survival benefits. We found that patients with high immune risk possessed a higher proportion of immunosuppressive cells such as macrophages M0, and presented higher expression of CD47, CD73, SIRPA, and TIM-3. Moreover, When further stratified based on the tumor mutation burden (TMB) and risk score, patients with high TMB and low immune risk had a remarkable prolonged overall survival compared to patients with low TMB and high immune risk. Finally, a nomogram combing the IPM with clinical factors was established to provide a more precise evaluation of prognosis. The proposed immune relevant model is a promising biomarker for predicting overall survival in stage I–III LUSC. Thus, it may shed light on identifying patient subset at high risk of adverse prognosis from an immunological perspective.

scholarly journals A glycolysis-based three-gene signature predicts survival in patients with lung squamous cell carcinoma

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Guichuan Huang ◽  
Jing Zhang ◽  
Ling Gong ◽  
Yi Huang ◽  
Daishun Liu
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Risk Score ◽  
Squamous Cell ◽  
Cox Regression ◽  
Lung Squamous Cell Carcinoma ◽  
Gene Signature ◽  
Gene Set Enrichment Analysis ◽  
Related Gene ◽  
Cox Regression Analysis

Abstract Background Lung cancer is one of the most lethal and most prevalent malignant tumors worldwide, and lung squamous cell carcinoma (LUSC) is one of the major histological subtypes. Although numerous biomarkers have been found to be associated with prognosis in LUSC, the prediction effect of a single gene biomarker is insufficient, especially for glycolysis-related genes. Therefore, we aimed to develop a novel glycolysis-related gene signature to predict survival in patients with LUSC. Methods The mRNA expression files and LUSC clinical information were obtained from The Cancer Genome Atlas (TCGA) dataset. Results Based on Gene Set Enrichment Analysis (GSEA), we found 5 glycolysis-related gene sets that were significantly enriched in LUSC tissues. Univariate and multivariate Cox proportional regression models were performed to choose prognostic-related gene signatures. Based on a Cox proportional regression model, a risk score for a three-gene signature (HKDC1, ALDH7A1, and MDH1) was established to divide patients into high-risk and low-risk subgroups. Multivariate Cox regression analysis indicated that the risk score for this three-gene signature can be used as an independent prognostic indicator in LUSC. Additionally, based on the cBioPortal database, the rate of genomic alterations in the HKDC1, ALDH7A1, and MDH1 genes were 1.9, 1.1, and 5% in LUSC patients, respectively. Conclusion A glycolysis-based three-gene signature could serve as a novel biomarker in predicting the prognosis of patients with LUSC and it also provides additional gene targets that can be used to cure LUSC patients.

scholarly journals The Current Landscape of Immune Checkpoint Blockade in Metastatic Lung Squamous Cell Carcinoma

Molecules ◽  
2021 ◽  
Vol 26 (5) ◽  
pp. 1392
Author(s):  
Hong Yuan ◽  
Jing Liu ◽  
Jun Zhang
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Immune Checkpoint ◽  
Unmet Need ◽  
Lung Squamous Cell Carcinoma ◽  
Standard Of Care ◽  
Immune Checkpoint Blockade ◽  
Checkpoint Blockade ◽  
Programmed Death

In addition to surgery, chemotherapy, radiotherapy, and targeted therapy, immunotherapy has emerged as a standard pillar of cancer treatment. Immune checkpoint inhibitors (ICIs) such as targeting programmed death-1/programmed death ligand 1 (PD-1/PD-L1) and cytotoxic T lymphocyte antigen 4 (CTLA-4) have been integrated into standard-of-care regimens for patients with advanced lung squamous cell carcinoma (LUSC), who were previously limited by the lack of treatment options. Atezolizumab, durvalumab, nivolumab, and pembrolizumab are all currently used as part of standard-of-care treatment for different stages of lung cancer. Recent successes and failures of immune checkpoint blockade-based combination therapies have provided significant insights into implementing combination strategies in LUSC. Therefore, there is an urgent need to correctly select patients who are more likely to respond to immunotherapy and understand the mechanisms of primary or acquired resistance. In this review, we aim at summarizing the emerging clinical data on the promise and challenge of ICIs, discussing the unmet need of potential biomarkers for predicting response or resistance to immunotherapy, and providing an overview of the current immune landscape and future directions in advanced LUSC.

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