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8. Additional file 6 of Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter

Author

Chang, Cheng, Ruan, Maomei, Lei, Bei, Yu, Hong, Zhao, Wenlu, Ge, Yaqiong, Duan, Shaofeng, Teng, Wenjing, Wu, Qianfu, Qian, Xiaohua, Wang, Lihua, Yan, Hui, Liu, Ciyi, Liu, Liu, Feng, Jian, and Xie, Wenhui

Abstract

Additional file 6. Methods: The formula for the calculation of PET/CT, CT, PET radiomics scores

Published
2022
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9. Additional file 5 of Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter

Author

Chang, Cheng, Ruan, Maomei, Lei, Bei, Yu, Hong, Zhao, Wenlu, Ge, Yaqiong, Duan, Shaofeng, Teng, Wenjing, Wu, Qianfu, Qian, Xiaohua, Wang, Lihua, Yan, Hui, Liu, Ciyi, Liu, Liu, Feng, Jian, and Xie, Wenhui

Abstract

Additional file 5. Table S1: The intra-and interobserver ICCs of the consistency of lesion segmentation

Published
2022
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12. Additional file 5 of Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer

Author

Yang, Jia, Hao, Ran, Zhang, Yunlong, Deng, Haibin, Teng, Wenjing, and Wang, Zhongqi

Subjects
natural sciences, respiratory tract diseases
Abstract

Additional file 5: Fig. S5 Funrichment analysis of top 100 hub-genes in NSCLC. GO (a) and KEGG (b) pathway were performed to explore the potential biological mechanisms, and EGFR signaling pathway was associated with hub-genes (c). NSCLC, non-small cell lung cancer; GO, gene ontology; KEGG, kyoto encyclopedia of genes and genomes.

Published
2021
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13. Additional file 6 of Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer

Author

Yang, Jia, Hao, Ran, Zhang, Yunlong, Deng, Haibin, Teng, Wenjing, and Wang, Zhongqi

Subjects
biochemical phenomena, metabolism, and nutrition, neoplasms, respiratory tract diseases
Abstract

Additional file 6: Fig. S6 Correlation between miRNA-target genes and immune infiltration in NSCLC. The correlation between AKT3 (a), CNR1 (b), COL14A1 (c), FBXO9 (d) and immune infiltration in NSCLC was analyzed by using the TIMER database. NSCLC, non-small cell lung cancer.

Published
2021
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14. Additional file 9 of Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer

Author

Yang, Jia, Hao, Ran, Zhang, Yunlong, Deng, Haibin, Teng, Wenjing, and Wang, Zhongqi

Subjects
respiratory tract diseases
Abstract

Additional file 9: Fig. S9 Cox regression analyses of miRNA-target gene. The univariate COX regression (a) and multivariate COX regression (b) were used to evaluate the independent prognostic value of the twelve target genes in NSCLC patients with clinical features. NSCLC, non-small cell lung cancer.

Published
2021
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16. Additional file 8 of Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer

Author

Yang, Jia, Hao, Ran, Zhang, Yunlong, Deng, Haibin, Teng, Wenjing, and Wang, Zhongqi

Subjects
respiratory system, respiratory tract diseases
Abstract

Additional file 8: Fig. S8 Frequencies of mutations in miRNA-target gene. l. The overall situation of mutations in LUAD patients in TCGA. b. The overall situation of mutations in LUSC patients in TCGA. C. The mutation frequency of 12 target genes in NSCLC. NSCLC, non-small cell lung cancer; LUAD, lung adenocarcinoma; LUSC, lung squamous cell carcinoma.

Published
2021
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18. Additional file 7 of Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer

Author

Yang, Jia, Hao, Ran, Zhang, Yunlong, Deng, Haibin, Teng, Wenjing, and Wang, Zhongqi

Subjects
biochemical phenomena, metabolism, and nutrition, neoplasms, respiratory tract diseases
Abstract

Additional file 7: Fig. S7 Correlation between miRNA-target genes and immune infiltration in NSCLC. The correlation between HIP1 (a), PIK3R1 (b), PLAC8 (c), TOLLIP (d) and immune infiltration in NSCLC was analyzed by using the TIMER database. NSCLC, non-small cell lung cancer.

Published
2021
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20. Development of a PET/CT Molecular Radiomics-clinical Model to Predict Local Lymph Node Metastasis of Invasive Lung Adenocarcinoma (≤ 3cm)

Author

Chang, Cheng, primary, Ruan, Maomei, additional, Chen, Chunji, additional, Yu, Hong, additional, Sun, Xiaoyan, additional, Ge, Yaqiong, additional, Duan, Shaofeng, additional, Teng, Wenjing, additional, Wu, Qianfu, additional, Zhao, Wenlu, additional, Qian, Xiaohua, additional, Wang, Rui, additional, Lei, Bei, additional, Wang, Lihua, additional, Yan, Hui, additional, Liu, Ciyi, additional, Liu, Liu, additional, Feng, Jian, additional, and Xie, Wenhui, additional

Published
2021
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22. Down-Regulation of SREBP via PI3K/AKT/mTOR Pathway Inhibits the Proliferation and Invasion of Non-Small-Cell Lung Cancer Cells

Author

Zhang, Bo, Wu, Jianchun, Guo, Peng, Wang, Yi, Fang, Zhihong, Tian, Jianhui, Yu, Yongchun, Teng, Wenjing, Luo, Yingbin, and Li, Yan

Subjects
non-small-cell lung cancer, proliferation, PI3K/AKT/mTOR, invasion, SREBP, OncoTargets and Therapy, respiratory tract diseases, Original Research
Abstract

Bo Zhang,1,* Jianchun Wu,1,* Peng Guo,1 Yi Wang,2 Zhihong Fang,1 Jianhui Tian,3 Yongchun Yu,4 Wenjing Teng,1 Yingbin Luo,1 Yan Li1 1Department of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, People’s Republic of China; 2Department of Pathology, Caner Hospital Affiliated Zhengzhou University, Henan, Zhengzhou 450008, People’s Republic of China; 3Department of Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, People’s Republic of China; 4Institute for Thoracic Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yan Li; Yingbin LuoDepartment of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, 274 Middle Zhijiang Rode, Shanghai, People’s Republic of ChinaEmail yan.xiaotian@shutcm.edu.cn; dr.luo@qq.comBackground: Lung cancer is one of the most common causes of cancer-related deaths worldwide, metabolic disorders are also a problem that puzzles mankind. SREBP is overexpressed in non-small-cell lung cancer (NSCLC) and is also a key regulator of lipid synthesis. However, the mechanisms by which SREBP regulates the proliferation, migration and invasion in NSCLC remain unclear.Materials and Methods: CCK-8, colony formation assay, soft agar assay, scratch wound healing assay and transwell assays were performed to detect proliferation, and invasion in NSCLC cells, respectively. In addition, Western blotting assay, qPCR and immunofluorescence were applied to detect the expressions of SREBP1, SREBP2, ki-67, PCNA, Bax, bcl-2, E-cadherin, N-cadherin, Vimentin, PI3K, p-PI3k, AKT, p-AKT, mTOR, p-mTOR in NSCLC cells.Results: In this study, downregulation of SREBP significantly inhibited the proliferation, migration and invasion of A549 and H1299 cells. Moreover, the method of piecewise inhibition was adopted to prove that SREBP is a downstream molecule of the PI3K/Akt/mTOR signaling pathway.Conclusion: Our study indicated that downregulation of SREBP inhibited the growth in NSCLC cells via PI3K/AKT/mTOR signaling pathway. Thus, we suggested SREBP may serve as a potential target for the treatment of patients with NSCLC.Keywords: non-small-cell lung cancer, SREBP, proliferation, invasion, PI3K/AKT/mTOR

Published
2020

30. A Novel Predictive Model Incorporating Ferroptosis-Related Gene Signatures for Overall Survival in Patients with Lung Adenocarcinoma.

Author

Wang Y, Pan Y, Wu J, Luo Y, Fang Z, Xu R, Teng W, Chen M, and Li Y

Subjects
Cohort Studies, Humans, Sequence Analysis, RNA methods, Survival Analysis, Adenocarcinoma of Lung genetics, Adenocarcinoma of Lung mortality, Biomarkers, Tumor genetics, Ferroptosis genetics, Lung Neoplasms genetics, Lung Neoplasms mortality
Abstract

BACKGROUND Lung adenocarcinoma (LUAD) is the predominant histological type of lung cancer with high morbidity and mortality. Ferroptosis is regarded as a new pattern of programmed cell death concerned with the progression of lung cancer characterized by lipid peroxidation. Nevertheless, the prognostic role of ferroptosis-related genes for LUAD warrant to be explored. MATERIAL AND METHODS RNA sequencing and relevant clinical patient data were obtained from public-access databanks. A prognostic model was constructed through the LASSO Cox regression in the cancer genome atlas cohort. The diagnostic value of the prognostic model was further evaluated in the gene expression omnibus cohort. RESULTS Most of the ferroptosis-related genes (69.9%) were differentially expressed between tumor and adjacent non-cancerous tissues. 43 differentially expressed genes showed a close association with the prognosis of LUAD patients (adjusted p-value <0.05). An 18-gene signature was built and applied to assign patients into high vs low-risk groups. Compared with the high-risk group, patients defined as the low-risk group suffered significantly prolonged OS. Both uni- and multivariate analyses demonstrated that the signature-based score served as a crucial role in influencing the OS of LUAD patients (hazard ratio >1, p<0.001). The immunity-related signaling pathway was enriched in the functional analysis and the infiltration of the immune cells showed a great difference between groups. CONCLUSIONS The predictive model could be applied for prognostic prediction for LUAD. Targeting ferroptosis could be a possible curative strategy against LUAD, and immunomodulation may be one of the potential mechanisms.

Published
2022
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