2020
DOI: 10.3389/fcell.2020.00790
|View full text |Cite
|
Sign up to set email alerts
|

The Construction of Bone Metastasis-Specific Prognostic Model and Co-expressed Network of Alternative Splicing in Breast Cancer

Abstract: Background Breast cancer (BRCA) ranks among the top most common female malignancies and was regarded as incurable when combined with bone and distant metastasis. Alternative splicing events (ASEs) together with splicing factors (SFs) were considered responsible for the development and progression of tumors. Methods Datasets including RNA sequencing and ASEs of BRCA samples were achieved from TCGA and TCGASpliceSeq databases. Then, a survival model was built including 15… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
5
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(6 citation statements)
references
References 67 publications
(61 reference statements)
1
5
0
Order By: Relevance
“…RNA sequencing data obtained from The Cancer Genome Atlas (TCGA) also revealed that the mRNA expression levels of CIRBP are higher in metastatic tissues compared with primary breast tumor samples (79). Similar to previous RNA sequencing data, CIRBP is upregulated in invasive ductal carcinoma (59) and in patient with brain metastases with a high recurrence rate (60). These studies suggest that AUC, area under the ROC curve; C, clinical; CI, confidence interval; CIRBP, cold-inducible RNA-binding protein; DCIS, ductal carcinoma in situ; GEO, gene expression omnibus; HR, hazard ratio; IBC, invasive breast carcinoma; FDR, false discovery rate; IHC, immunohistochemistry; M, distant metastasis; N, regional lymph nodes; NPC, nasopharyngeal carcinoma; NSCLC, non-small cell lung cancer; PAM, prediction analysis of microarrays; OSCC, oral squamous cell carcinoma; T, primary tumor; TCGA, The Cancer Genome Atlas; TMA, tissue microarray; MI, minimally invasive lesion; HI, highly invasive lesion.…”
Section: Cirbp As a Prognostic Marker In Cancersupporting
confidence: 79%
See 1 more Smart Citation
“…RNA sequencing data obtained from The Cancer Genome Atlas (TCGA) also revealed that the mRNA expression levels of CIRBP are higher in metastatic tissues compared with primary breast tumor samples (79). Similar to previous RNA sequencing data, CIRBP is upregulated in invasive ductal carcinoma (59) and in patient with brain metastases with a high recurrence rate (60). These studies suggest that AUC, area under the ROC curve; C, clinical; CI, confidence interval; CIRBP, cold-inducible RNA-binding protein; DCIS, ductal carcinoma in situ; GEO, gene expression omnibus; HR, hazard ratio; IBC, invasive breast carcinoma; FDR, false discovery rate; IHC, immunohistochemistry; M, distant metastasis; N, regional lymph nodes; NPC, nasopharyngeal carcinoma; NSCLC, non-small cell lung cancer; PAM, prediction analysis of microarrays; OSCC, oral squamous cell carcinoma; T, primary tumor; TCGA, The Cancer Genome Atlas; TMA, tissue microarray; MI, minimally invasive lesion; HI, highly invasive lesion.…”
Section: Cirbp As a Prognostic Marker In Cancersupporting
confidence: 79%
“…Along with SF, alternative splicing events (ASEs) are also responsible for cancer development and progression (86,87). RNA sequencing and ASE-related datasets of breast cancer samples obtained from TCGA revealed that CIRBP, may serve as a predictor for survival in prognostic-related ASE (59). Together, these results suggest that CIRBP may function as a prognostic marker in a number of cancer types.…”
Section: Cirbp As a Prognostic Marker In Cancermentioning
confidence: 98%
“…It is reported that DNA mutation is not the only cause of cancer, and AS can also be the killer [46]. New or specific isoforms and disorder isoforms derived from AS are closely related to tumorigenesis and cancer progression [47][48][49]. Accordingly, it is suspected that whether AS events altered in the choline deficient group.…”
Section: Discussionmentioning
confidence: 99%
“…Li et al constructed 14 immune-related gene prognostic risk assessment models, which showed good predictive performance for the prognosis of patients with osteosarcoma [20]. Huang et al screened 15 alternative splicing genes related to prognosis and two splicing molecules related to bone metastasis to construct a risk assessment model, which showed that the prognosis of breast cancer patients and the occurrence of bone metastasis also have good predictive performance [21]. To the best of our knowledge, there is currently no risk assessment model for immune-related genes in patients with metastatic SS.…”
Section: Discussionmentioning
confidence: 99%