scholarly journals Integrative analysis of prognostic value and immune infiltration of spindle and kinetochore-associated family members in breast cancer

Bioengineered ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 10905-10923
Author(s):  
Jianfeng Ding ◽  
Xiaobo He ◽  
Jinkun Wang ◽  
Guodong Cao ◽  
Sihan Chen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Value ◽  
Family Members ◽  
Integrative Analysis ◽  
Immune Infiltration ◽  
Associated Family

Prognostic value of epidermal growth factor receptor (EGFR) family members in breast cancer.

2010 ◽  
Vol 28 (15_suppl) ◽  
pp. e21079-e21079
Author(s):  
T. Badovinac Crnjevic ◽  
J. Jakic-Razumovic ◽  
D. Vrbanec ◽  
A. Juretic ◽  
S. Plestina ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Epidermal Growth Factor Receptor ◽  
Growth Factor ◽  
Epidermal Growth Factor ◽  
Prognostic Value ◽  
Family Members ◽  
Growth Factor Receptor ◽  
Epidermal Growth ◽  
Egfr Family

scholarly journals Distribution Characteristics and Prognostic Value of Immune Infiltration in Oligometastatic Breast Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Danyang Zhou ◽  
Kuikui Jiang ◽  
Ruoxi Hong ◽  
Qianyi Lu ◽  
Wen Xia ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Value ◽  
Proportional Hazards Model ◽  
Normal Breast ◽  
Cox Proportional Hazards Model ◽  
Cancer Center ◽  
Distribution Characteristics ◽  
Primary Tumors ◽  
Immune Infiltration ◽  
Breast Tissues

BackgroundTo assess the distribution characteristics and the prognostic value of immune infiltration in female oligometastatic breast cancer patients.MethodsWe retrospectively analyzed the clinicopathological data of oligometastatic breast cancer (OMBC) patients diagnosed between June 2000 and January 2020. Immune markers were quantified by immunohistochemistry on FFPE tissues in paired normal breast tissues, primary breast cancers and oligometastatic lesions. Survival analyses were performed using the Kaplan-Meier curves and Cox-proportional hazards model.ResultsA total of 95 female OMBC patients visited Sun Yat-sen University Cancer Center between June 2000 and January 2020, and 33 of them had matched normal breast tissues, primary cancers and oligometastatic lesions and were reviewed in immune infiltration analysis. CD8 of primary tumors had a higher expression than that in matched normal tissues. The expressions of CD8 and FOXP3 were higher in the primary sites than that in the oligometastatic lesions. CD3, CD4 and CD8 were significantly lower in the intratumoral regions than that in the peritumoral regions both in primary and oligometastatic lesions. Notably, the high percentage of CD3 in the intratumoral oligometastatic lesions predicted the longer PFS and OS, and higher CD4 in the same lesions also predicted a better OS. There was obviously positive correlation between CD4/CD3 and Ki-67 in primary cancers and negative correlation between CD4/CD3 and ER in oligometastatic sites.ConclusionWe explored immune distribution and evolution in time and space in OMBC to provide new understandings for biological behaviors of this disease and further divided patients in different prognosis.

O18 Activated leukocyte cell adhesion molecule (ALCAM) and its intracellular linkers in assessing the outcome of patients with breast cancer

2021 ◽  
Vol 108 (Supplement_5) ◽  
Author(s):  
Y M Yang ◽  
A J Sanders ◽  
E Davies ◽  
R E Mansel ◽  
W G Jiang
Keyword(s):  
Breast Cancer ◽  
Cell Adhesion ◽  
Prognostic Factor ◽  
Clinical Outcome ◽  
Prognostic Value ◽  
Family Members ◽  
Prognostic Index ◽  
Disease Free Survival ◽  
Good Prognosis ◽  
Significant Prognostic Factor

Abstract Introduction ALCAM (also known as CD166) is a membrane integral protein and said to have a role in predicting the clinical outcome of patients with breast cancer, but the pattern of the prediction value is inconsistent. ALCAM confers cell-cell adhesion via heterotypic and homotypic interactions and linked to cytoskeleton via the ERM protein family (Ezrin, Moesin, Radixin and EHM2), particularly ezrin. The present study explored if the ALCAM and its ERM linkers may assist in refining the prognostic value of ALCAM. Method Gene transcripts of ACLAM and the ERM family members were quantitatively analysed in an existing breast cancer cohort collected freshly after surgery. The relationship between ALCAM and patient’s survival (follow-up 10 years) were stratified by the ALCAM linkers. Statistical methods were Kaplan-Meier’s survival method, ROC and logistic regression. Result ALCAM significantly correlated with four ERM family members (P < 0.005). Patients with high levels of ALCAM transcripts had significantly long overall survival. Further stratification by the epithelial rich Ezrin and endothelial rich Moesin identified subgroup of patients with good prognosis. Multivariant analysis indicates that the combined power of ALCAM and ERM family serves as an independent prognostic factor (P = 0.003) together with the other two factors, namely the Nottingham Prognostic Index and Nodal status (P = 0.02). A similar prediction power for disease free survival was seen with ALCAM and ERM combination. Conclusion ALCAM and its intracellular cytoskeletal linker molecules, the ERM family, together forms a significant prognostic factor to the clinical outcome of patients with breast cancer. Take-home Message ALCAM stratified by the ERM family have prognostic value in breast cancer

scholarly journals Comprehensive Analysis of the Expression, Prognostic Value and Correlations with Immune Infiltration of PBX Family Members in Colorectal Cancer

2021 ◽  
Author(s):  
Yanping Hu ◽  
Yihang Shen
Keyword(s):  
Colorectal Cancer ◽  
T Cells ◽  
Cancer Patients ◽  
Prognostic Value ◽  
Interaction Analysis ◽  
Family Members ◽  
Disease Free Survival ◽  
Tumor Stage ◽  
Immune Infiltration ◽  
Colorectal Cancer Patients

Abstract Background: Colorectal cancer is the third commonest cancer and the second leading cause of cancer deaths globally. The Pre-B-cell leukemia transcription factor (PBX) family plays an essential biological role in the growth and development of the organism. PBX genes have been found to be implicated in the tumorigenesis of a variety of human tumors through multiple pathways, but its function in colorectal cancer is unclear. Methods: The expression pattern, prognostic value and relationship with immune infiltration of PBX genes in patients with colorectal cancer were investigated using the Oncomine, GEPIA, Kaplan-Meier Plotter and TIMER databases. In addition, gene mutation and interaction analysis of PBX family members in colorectal cancer patients using cBioPortal and GeneMANIA databases, respectively.Results: We revealed that a significantly lower expression level of PBX1, PBX2 and PBX3 in colorectal cancer tissues than in normal tissues, and the expression levels of PBX1 and PBX2 were significantly correlated with clinical tumor stage. Furthermore, survival analysis showed that high transcript levels of PBX4 were associated with overall survival in colon cancer patients, while low levels of PBX2 predicted improved disease-free survival in rectal cancer patients. In addition, in colon and rectal cancers, PBX proteins were notably associated with infiltration of multiple immune cells, including CD4+ T cells, CD8+ T cells, macrophages, neutrophils, B cells, and dendritic cells.Conclusion: These findings implies that PBX1 and PBX3 are potential targets for precision therapy of colorectal cancer patients and that PBX2 and PBX4 may be new prognostic markers for colorectal cancer patients.

scholarly journals High expression of eIF4E is associated with tumor macrophage infiltration and leads to poor prognosis in breast cancer

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fan Li ◽  
Huizhi Sun ◽  
Yue Li ◽  
Xiaoyu Bai ◽  
Xueyi Dong ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Immune Cells ◽  
Poor Prognosis ◽  
Prognostic Value ◽  
Translation Initiation Factor ◽  
Functional Enrichment ◽  
Macrophage Infiltration ◽  
Initiation Factor ◽  
Migration And Invasion ◽  
Immune Infiltration

Abstract Background The expression and activation of eukaryotic translation initiation factor 4E (eIF4E) is associated with cell transformation and tumor initiation, but the functional role and the mechanism whereby it drives immune cell infiltration in breast cancer (BRCA) remain uncertain. Methods Oncomine, Timer and UALCAN were used to analyze the expression of eIF4E in various cancers. PrognoScan, Kaplan–Meier plotter, and GEPIA were utilized to analyze the prognostic value of eIF4E in select cancers. In vitro cell experiments were used to verify the role of eIF4E in promoting the progression of BRCA. ImmuCellAI and TIMER database were used to explore the relationship between eIF4E and tumor infiltrating immune cells. The expression of a macrophage marker (CD68+) and an M2-type marker (CD163+) was evaluated using immunohistochemistry in 50 invasive BRCA samples on tissue microarrays. The Human Protein Atlas (HPA) database was used to show the expression of eIF4E and related immune markers. LinkedOmics and NetworkAnalyst were used to build the signaling network. Results Through multiple dataset mining, we found that the expression of eIF4E in BRCA was higher than that in normal tissues, and patients with increased eIF4E expression had poorer survival and a higher cumulative recurrence rate in BRCA. At the cellular level, BRCA cell migration and invasion were significantly inhibited after eIF4E expression was inhibited by siRNA. Immune infiltration analysis showed that the eIF4E expression level was significantly associated with the tumor purity and immune infiltration levels of different immune cells in BRCA. The results from immunohistochemical (IHC) staining further proved that the expression of CD68+ and CD163+ were significantly increased and correlated with poor prognosis in BRCA patients (P < 0.05). Finally, interaction network and functional enrichment analysis revealed that eIF4E was mainly involved in tumor-related pathways, including the cell adhesion molecule pathway and the JAK-STAT signaling pathway. Conclusions Our study has demonstrated that eIF4E expression has prognostic value for BRCA patients. eIF4E may act as an essential regulator of tumor macrophage infiltration and may participate in macrophage M2 polarization.

Sign in / Sign up

Export Citation Format

Share Document