scholarly journals Loss of programmed cell death 4 expression marks adenoma-carcinoma transition, correlates inversely with phosphorylated protein kinase B, and is an independent prognostic factor in resected colorectal cancer

Cancer ◽  
2007 ◽  
Vol 110 (8) ◽  
pp. 1697-1707 ◽  
Author(s):  
Giridhar Mudduluru ◽  
Fabian Medved ◽  
Rainer Grobholz ◽  
Camela Jost ◽  
Anette Gruber ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cell Death ◽  
Protein Kinase ◽  
Prognostic Factor ◽  
Programmed Cell Death ◽  
Protein Kinase B ◽  
Independent Prognostic Factor ◽  
Phosphorylated Protein ◽  
Programmed Cell Death 4

scholarly journals Programmed Cell Death Ligand 1 Expression Is an Independent Prognostic Factor in Colorectal Cancer

2018 ◽  
Vol 38 (6) ◽  
pp. 3367-3373 ◽  
Author(s):  
TUMENJIN ENKHBAT ◽  
MASAAKI NISHI ◽  
CHIE TAKASU ◽  
KOZO YOSHIKAWA ◽  
HIGASHIJIMA JUN ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cell Death ◽  
Prognostic Factor ◽  
Programmed Cell Death ◽  
Independent Prognostic Factor

scholarly journals Identification of a Programmed Cell Death-related Signature for Prediction of Osteosarcoma

2021 ◽  
Author(s):  
Ankai Xu ◽  
Jinti Lin ◽  
Wei Yu ◽  
Jiakang Jin ◽  
Bing Liu ◽  
...  
Keyword(s):  
Cell Death ◽  
Regression Analysis ◽  
High Risk ◽  
Prognostic Factor ◽  
Programmed Cell Death ◽  
Signaling Pathway ◽  
Risk Score ◽  
Independent Prognostic Factor ◽  
Low Risk ◽  
Gene Interactions

Abstract Background: This study aims to perform bioinformatics analysis of programmed cell death-related genes (PCDGs) in osteosarcoma, and to construct a multi-gene signature for predicting the prognosis.Methods: The functional enrichment analysis was applied for prognostic PCDGs, and PPI network as well as drug-gene interactions were constructed. In order to set up the prognosis evaluation system, we established a prognosis model by integrating PCDGs. The Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression analysis as well as the multivariate Cox proportional hazard regression analysis were used to construct the five-genes signature (MUC1, TCF7L2, TGFB2, TRIAP1, CBS) for prediction in Gene Expression Omnibus (GEO) cohort. According to the median risk score, survival analysis was conducted to evaluate the prognostic value of the risk score in GEO cohort. Next, by combining other clinic-pathological independent prognostic factor, stage at diagnosis, a nomogram was established to predict individual survival probability. Result: GO analysis showed that the 15 prognostic PCDGs were mainly enriched in apoptotic signaling pathway, regulation of secretion and p53 signaling pathway. KEGG analysis showed that aforesaid genes were mainly related to PI3K-Akt signaling pathway, diverse neoplasms signaling pathway and hepatitis B. Drug-gene interactions displayed available drugs for influencing osteosarcoma via programmed cell death, such as adalimumab, tacrolimus and sirolimus. The risk score was constructed based on 5 genes and patients were significantly divided into high-risk and low-risk groups according to overall survival. In multivariate Cox regression analysis, risk score was still an independent prognostic factor (HR = 2.526, 95% CI = 1.597−3.994, P < 0.001). Cumulative curve showed that low-risk score patients were significantly had better prognosis than that of patients with high-risk score (P < 0.001). The external independent TARGET cohort proved the validity of risk score model and the nomograph.Conclusion: From the facet of programmed cell death, we provided a multi-gene signatureand the nomograph for the prognostic predictors of osteosarcoma patients, and available drugs displayed may provide promising treatment strategies.

scholarly journals Programmed cell death protein 1 expression is an independent prognostic factor in gastric cancer after curative resection

2015 ◽  
Vol 19 (2) ◽  
pp. 466-471 ◽  
Author(s):  
Shohei Eto ◽  
Kozo Yoshikawa ◽  
Masaaki Nishi ◽  
Jun Higashijima ◽  
Takuya Tokunaga ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cell Death ◽  
Prognostic Factor ◽  
Programmed Cell Death ◽  
Curative Resection ◽  
Independent Prognostic Factor ◽  
Cell Death Protein

scholarly journals Programmed cell death 4 and BCR-ABL fusion gene expression are negatively correlated in chronic myeloid leukemia

2016 ◽  
Vol 12 (4) ◽  
pp. 2976-2981 ◽  
Author(s):  
Xia Zhang ◽  
Riming Liu ◽  
Baohua Huang ◽  
Xiaolu Zhang ◽  
Weijuan Yu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Death ◽  
Chronic Myeloid Leukemia ◽  
Programmed Cell Death ◽  
Myeloid Leukemia ◽  
Fusion Gene ◽  
Programmed Cell Death 4

scholarly journals Retraction: Linc00472 suppresses breast cancer progression and enhances doxorubicin sensitivity through regulation of miR-141 and programmed cell death 4

RSC Advances ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 5895-5895
Author(s):  
Laura Fisher
Keyword(s):  
Breast Cancer ◽  
Cell Death ◽  
Programmed Cell Death ◽  
Cancer Progression ◽  
Breast Cancer Progression ◽  
Programmed Cell Death 4

Retraction of ‘Linc00472 suppresses breast cancer progression and enhances doxorubicin sensitivity through regulation of miR-141 and programmed cell death 4’ by Pengwei Lu et al., RSC Adv., 2018, 8, 8455–8468, DOI: 10.1039/C8RA00296G

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