Research status of abnormal lipid metabolism and tumorigenesis and development

[1] Huang, K., Zhang, Y., Yao, L., Zhang, Z., Liu, R., & Cao, Q. (2022). P456 risk of malignant tumors in patients with autoimmune diseases on ustekinumab therapy: a systematic review and meta-analysis. Journal of Crohn’s and Colitis(Supplement_1), Supplement_1. Search in Google Scholar

[2] Parvez, W., Varanasi, S., Anjum, Z., Goss, J., Savory, S., & Das, I., et al. (2022). Incidence and outcomes of malignant disease, other than lung cancer, diagnosed via the direct to chest ct pathway (dtcctp) of the national optimal lung cancer pathway (nolcp). Lung Cancer, 165, S45-. Search in Google Scholar

[3] Monterroso, P., Moore, K. J., Sample, J. M., Sorajja, N., Domingues, A., & Williams, L. A. (2022). Racial/ethnic and sex differences in young adult malignant brain tumor incidence by histologic type. Cancer epidemiology, 76, 102078. Search in Google Scholar

[4] Zheng, L., Chen, X., Zhang, L. I., Qin, N., Jiaxing, A. N., & Zhu, J., et al. (2023). A potential tumor marker: chaperonin containing tcp-1 controls the development of malignant tumors (review). International journal of oncology, 63 3. Search in Google Scholar

[5] Tan, Y., Hao, J., Jiang, Y., Sun, X., & Cheng, J. (2023). Lipidomics of sannen goat milk subjected to pasteurization and spray drying based on lc-esi-ms/ms. Food Research International. Search in Google Scholar

[6] Genaro R. Villa, Jonathan J. Hulce, Zanca, C., Bi, J., Ikegami, S., & Gabrielle L. Cahill, et al. (2016). An lxr-cholesterol axis creates a metabolic co-dependency for brain cancers. Cancer Cell. Search in Google Scholar

[7] Biswas, P., Datta, C., Rathi, P., & Bhattacharjee, A. (2022). Fatty acids and their lipid mediators in the induction of cellular apoptosis in cancer cells. Prostaglandins & Other Lipid Mediators, 160, 106637-. Search in Google Scholar

[8] Chang, S., Huihui, X., Xiguang, S., Yan, H., Wenqin, G., & Yi, H., et al. (2023). New perspectives on chinese medicine in treating hepatic fibrosis: lipid droplets in hepatic stellate cells. The American journal of Chinese medicine. Search in Google Scholar

[9] A, P. X., B, J. Z. A., A, P. W., B, Y. W., C, Y. H. A., & A, J. W., et al. (2022). Multicellular tumor spheroids bridge the gap between two-dimensional cancer cells and solid tumors: the role of lipid metabolism and distribution. Chinese Chemical Letters. Search in Google Scholar

[10] Menendez, JA., Lupu R. (2007). Fatty acid synthase and the lipogenicphenotype in cancer pathogenesis. Nat Rev Cancer, 7(10): 763-77. Search in Google Scholar

[11] Currie, E., Schulze, A., Zechner, R., et al (2013). Cellular fatty acid metabolism and Cancer. Cell Metab, 18(2): 153-61. Search in Google Scholar

[12] Didonato, A. (2022). Codex radiation therapy treatment data (rttd): smarter data in the fight against Cancer. Medical Physics. Search in Google Scholar

[13] Beloribi-Djefaflia, S., Vasseur, S., Guillaumond, F. (2016). Lipid metabolic reprogramming in cancer cells. Oncogene, 2016(5): e189. Search in Google Scholar

[14] Holthuis, JCM, Menon, AK. (2014). Lipid landscapes and pipelines in membrane homeostasis. Nature, 510(7503):48-57. Search in Google Scholar

[15] Hu, WR., Lian, YF., Peng, LX., et al. (2014). Monoacylglycerol lipase promotes metastases in nasopharyngeal carcinoma. Int J Clin Exp Patho, 7(7):3704-13. Search in Google Scholar

[16] Chen, S., Yin, P., Zhao, X., et al. (2013). Serum lipid profiling of patients with chronic hepatitis B, cirrhosis, and hepatocellular carcinoma by ultra fast LC/IT-TOF MS. Electrophoresis, 34(19):2848-56. Search in Google Scholar

[17] Lessi, F., Morelli, M., Franceschi, S., Aretini, P., Ferri, G., & Menicagli, M., et al. (2023). P14.04.b circulating tumor cells as a non-invasive glioblastoma diagnostic and prognostic tool. Neuro-Oncology (Supplement_2), Supplement_2. Search in Google Scholar

[18] Garcia, D. V., Dinesh, J. S. R., Manickam, A., Saravanan, V., Luhach, A. K., & Krishnamoorthy, S. (2023). Robot based transurethral bladder tumor resection with automatic detection of tumor cells. Measurement. Search in Google Scholar

[19] Gao, T., Li, M., Mu, G., et al. (2019). PKCζphosphorylates SIRT6 to mediate fatty acidβ-oxidation in colon cancer cells. Neoplasia, 21(1):61-73. Search in Google Scholar

[20] Chen, J., Li, L., Zhou, Z., et al. (2019). FAPP2 promotes tumor cell growth in human colon cancer through activation of Wnt signaling. ExpCellRes, 374(1):12-18. Search in Google Scholar

[21] Aslan, S. (2023). A deep learning-based sentiment analysis approach (mf-cnn-bilstm) and topic modeling of tweets related to the ukraine-russia conflict. Applied Soft Computing. Search in Google Scholar

[22] Oshida, T., Murakoshi, T., Zhou, L. B., Ojima, H., Kaneko, K., & Onuki, T., et al. (2023). Development and implementation of real-time anomaly detection on tool wear based on stacked lstm encoder-decoder model. The International Journal of Advanced Manufacturing Technology, 1-16. Search in Google Scholar

[23] Ma, X. (2022). Knowledge graph construction and application in geosciences: a review. Computers & geosciences (Apr.), 161. Search in Google Scholar