2019
DOI: 10.1038/s41588-019-0451-6
|View full text |Cite
|
Sign up to set email alerts
|

Publisher Correction: The long tail of oncogenic drivers in prostate cancer

Abstract: In the version of this article initially published, the top panel of Fig. 5a contained errors in gene names. 'TaGS5-3A1' at position ~175 Mb should have been 'TaGS5-3A' , and 'TaGS5-3A' at position ~722 Mb should have been 'TaTGW6-A1'. The errors have been corrected in the HTML and PDF versions of the article.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(5 citation statements)
references
References 0 publications
0
5
0
Order By: Relevance
“…Additionally, mutations have been detected in 20% of patients with MDS/myeloproliferative neoplasms and 15% of patients with chronic lymphocytic leukemia (CLL) [ 146 , 148 150 ]. Furthermore, mutations in SF3B1 have been reported at low frequencies in patients with acute myeloid leukemia, breast cancer, prolactinomas, uveal melanoma, leptomeningeal melanoma, blue nevus-like cutaneous melanoma, pancreatic ductal adenocarcinoma, and prostate cancer [ 151 159 ].…”
Section: Splicing Factors That Affect Cancer Progressionmentioning
confidence: 99%
“…Additionally, mutations have been detected in 20% of patients with MDS/myeloproliferative neoplasms and 15% of patients with chronic lymphocytic leukemia (CLL) [ 146 , 148 150 ]. Furthermore, mutations in SF3B1 have been reported at low frequencies in patients with acute myeloid leukemia, breast cancer, prolactinomas, uveal melanoma, leptomeningeal melanoma, blue nevus-like cutaneous melanoma, pancreatic ductal adenocarcinoma, and prostate cancer [ 151 159 ].…”
Section: Splicing Factors That Affect Cancer Progressionmentioning
confidence: 99%
“…TCGA Dataset, CRC: [58], GC: TCGA Dataset, CSCC: TCGA Dataset, EAC: [59], HNC: TCGA Dataset, RMS: [60], PAC: [61], DLBCL: TCGA Dataset, HCC: TCGA Dataset, AC: Ampullary carcinoma [62], UCS: TCGA Dataset, BUC: TCGA Dataset, RCC: TCGA Dataset, PA: [63], CC: [64], GC: [65], PDTC & ATC: [66,67], OSC: TCGA Dataset, BC: [68], CCRCC: TCGA Dataset, CLL: [69], DG: [70]. [50], DM [51], CM: TCGA Dataset, BCC: [52], LA: [53], EC: TCGA Dataset, VV-SCC: [54], NSCLC: [55], UTUC [56], CTCL: [57], AS: TCGA Dataset, CRC: [58], GC: TCGA Dataset, CSCC: TCGA Dataset, EAC: [59], HNC: TCGA Dataset, RMS: [60], PAC: [61], DLBCL: TCGA Dataset, HCC: TCGA Dataset, AC: Ampullary carcinoma [62], UCS: TCGA Dataset, BUC: TCGA Dataset, RCC: TCGA Dataset, PA: [63], CC: [64], GC: [65], PDTC & ATC: [66,67], OSC: TCGA Dataset, BC: [68], CCRCC: TCGA Dataset, CLL: [69], DG: [70].…”
Section: Somatic Mutations Of Trkc In Cancermentioning
confidence: 99%
“…Given the genomic complexity and phenotypic heterogeneity that characterize prostate tumors, a single somatic or germline variant is unlikely prognostic. Various genomic changes are enriched in mCRPC compared to the primary diseases, such as loss of function mutations in the tumor-suppressor genes TP53, RB1, and PTEN, deficiency of DNA damage repair pathway, a gain of function mutations in oncogenes, and copy-number alterations [6][7][8][9] . However, despite significant advances in molecular genetics and genome analysis, our ability to distinguish lethal mCRPC from non-lethal indolent prostate cancer is still limited.…”
Section: The Landscape Of Neuroendocrine Prostate Cancermentioning
confidence: 99%