|
1
|
Miao H, Verkooijen HM, Chia KS, Bouchardy
C, Pukkala E, Larønningen S, Mellemkjær L, Czene K and Hartman M:
Incidence and outcome of male breast cancer: An international
population-based study. J Clin Oncol. 29:4381–4386. 2011.
View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Coughlin SS: Social determinants of breast
cancer risk, stage, and survival. Breast Cancer Res Treat.
177:537–548. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
San Miguel Y, Gomez SL, Murphy JD, Schwab
RB, McDaniels-Davidson C, Canchola AJ, Molinolo AA, Nodora JN and
Martinez ME: Age-related differences in breast cancer mortality
according to race/ethnicity, insurance, and socioeconomic status.
BMC Cancer. 20:2282020. View Article : Google Scholar
|
|
4
|
DeSantis CE, Ma J, Goding Sauer A, Newman
LA and Jemal A: Breast cancer statistics, 2017, racial disparity in
mortality by state. CA Cancer J Clin. 67:439–448. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Siegel RL, Miller KD and Jemal A: Cancer
statistics, 2019. CA Cancer J Clin. 69:7–34. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Black DL: Protein diversity from
alternative splicing: A challenge for bioinformatics and
post-genome biology. Cell. 103:367–370. 2000. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Yang X, Coulombe-Huntington J, Kang S,
Sheynkman GM, Hao T, Richardson A, Sun S, Yang F, Shen YA, Murray
RR, et al: Widespread expansion of protein interaction capabilities
by alternative splicing. Cell. 164:805–817. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Parikshak NN, Swarup V, Belgard TG, Irimia
M, Ramaswami G, Gandal MJ, Hartl C, Leppa V, Ubieta LT, Huang J, et
al: Genome-wide changes in lncRNA, splicing, and regional gene
expression patterns in autism. Nature. 540:423–427. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Read A and Natrajan R: Splicing
dysregulation as a driver of breast cancer. Endocr Relat Cancer.
25:R467–R478. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Tian N, Li J, Shi J and Sui G: From
general aberrant alternative splicing in cancers and its
therapeutic application to the discovery of an oncogenic DMTF1
isoform. Int J Mol Sci. 18:E1912017. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Tien JF, Mazloomian A, Cheng SG, Hughes
CS, Chow CCT, Canapi LT, Oloumi A, Trigo-Gonzalez G, Bashashati A,
Xu J, et al: CDK12 regulates alternative last exon mRNA splicing
and promotes breast cancer cell invasion. Nucleic Acids Res.
45:6698–6716. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Ke H, Zhao L, Zhang H, Feng X, Xu H, Hao
J, Wang S, Yang Q, Zou L, Su X, et al: Loss of TDP43 inhibits
progression of triple-negative breast cancer in coordination with
SRSF3. Proc Natl Acad Sci USA. 115:E3426–E3435. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Climente-González H, Porta-Pardo E, Godzik
A and Eyras E: The functional impact of alternative splicing in
cancer. Cell Rep. 20:2215–2226. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Martinez-Montiel N, Rosas-Murrieta NH,
Anaya Ruiz M, Monjaraz-Guzman E and Martinez-Contreras R:
Alternative splicing as a target for cancer treatment. Int J Mol
Sci. 19:E5452018. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Ryan M, Wong WC, Brown R, Akbani R, Su X,
Broom B, Melott J and Weinstein J: TCGASpliceSeq a compendium of
alternative mRNA splicing in cancer. Nucleic Acids Res.
44:D1018–D1022. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Gucalp A, Traina TA, Eisner JR, Parker JS,
Selitsky SR, Park BH, Elias AD, Baskin-Bey ES and Cardoso F: Male
breast cancer: A disease distinct from female breast cancer. Breast
Cancer Res Treat. 173:37–48. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
RStudio Team (2015), . RStudio: Integrated
Development for R. RStudio, Inc. (Boston, MA). 2015.
|
|
18
|
R Core Team, . 2012.R: A language and
environment for statistical computing. R Foundation for Statistical
Computing. (Vienna, Austria, 2012).
|
|
19
|
Conway JR, Lex A and Gehlenborg N: UpSetR:
An R package for the visualization of intersecting sets and their
properties. Bioinformatics. 33:2938–2940. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
The Gene Ontology Consortium, . Expansion
of the gene ontology knowledgebase and resources. Nucleic Acids
Res. 45:D331–D338. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Fabregat A, Jupe S, Matthews L,
Sidiropoulos K, Gillespie M, Garapati P, Haw R, Jassal B, Korninger
F, May B, et al: The reactome pathway knowledgebase. Nucleic Acids
Res. 46:D649–D655. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Bindea G, Mlecnik B, Hackl H, Charoentong
P, Tosolini M, Kirilovsky A, Fridman WH, Pagès F, Trajanoski Z and
Galon J: ClueGO: A cytoscape plug-in to decipher functionally
grouped gene ontology and pathway annotation networks.
Bioinformatics. 25:1091–1093. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Shannon P, Markiel A, Ozier O, Baliga NS,
Wang JT, Ramage D, Amin N, Schwikowski B and Ideker T: Cytoscape: A
software environment for integrated models of biomolecular
interaction networks. Genome Res. 13:2498–2504. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Sahebi M, Hanafi MM, van Wijnen AJ, Azizi
P, Abiri R, Ashkani S and Taheri S: Towards understanding pre-mRNA
splicing mechanisms and the role of SR proteins. Gene. 587:107–119.
2016. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Piva F, Giulietti M, Burini AB and
Principato G: SpliceAid 2: A database of human splicing factors
expression data and RNA target motifs. Hum Mutat. 33:81–85. 2012.
View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Woolston C: Breast cancer. Nature.
527:S1012015. View
Article : Google Scholar : PubMed/NCBI
|
|
27
|
Stricker TP, Brown CD, Bandlamudi C,
McNerney M, Kittler R, Montoya V, Peterson A, Grossman R and White
KP: Robust stratification of breast cancer subtypes using
differential patterns of transcript isoform expression. PLoS Genet.
13:e10065892017. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Kim SY, Kawaguchi T, Yan L, Young J, Qi Q
and Takabe K: Clinical relevance of microRNA expressions in breast
cancer validated using the cancer genome atlas (TCGA). Ann Surg
Oncol. 24:2943–2949. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Heng YJ, Lester SC, Tse GM, Factor RE,
Allison KH, Collins LC, Chen YY, Jensen KC, Johnson NB, Jeong JC,
et al: The molecular basis of breast cancer pathological
phenotypes. J Pathol. 241:375–391. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Wang ET, Sandberg R, Luo S, Khrebtukova I,
Zhang L, Mayr C, Kingsmore SF, Schroth GP and Burge CB: Alternative
isoform regulation in human tissue transcriptomes. Nature.
456:470–476. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Biamonti G, Catillo M, Pignataro D,
Montecucco A and Ghigna C: The alternative splicing side of cancer.
Semin Cell Dev Biol. 32:30–36. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Hamdollah Zadeh MA, Amin EM,
Hoareau-Aveilla C, Domingo E, Symonds KE, Ye X, Heesom KJ, Salmon
A, D'Silva O, Betteridge KB, et al: Alternative splicing of TIA-1
in human colon cancer regulates VEGF isoform expression,
angiogenesis, tumour growth and bevacizumab resistance. Mol Oncol.
9:167–178. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Xiong Y, Deng Y, Wang K, Zhou H, Zheng X,
Si L and Fu Z: Profiles of alternative splicing in colorectal
cancer and their clinical significance: A study based on
large-scale sequencing data. EBioMedicine. 36:183–195. 2018.
View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Lin P, He RQ, Ma FC, Liang L, He Y, Yang
H, Dang YW and Chen G: Systematic analysis of survival-associated
alternative splicing signatures in gastrointestinal
pan-adenocarcinomas. EBioMedicine. 34:46–60. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Zhang R, Lin P, Yang X, He RQ, Wu HY, Dang
YW, Gu YY, Peng ZG, Feng ZB and Chen G: Survival associated
alternative splicing events in diffuse large B-cell lymphoma. Am J
Transl Res. 10:2636–2647. 2018.PubMed/NCBI
|
|
36
|
Zahler AM, Lane WS, Stolk JA and Roth MB:
SR proteins: A conserved family of pre-mRNA splicing factors. Genes
Dev. 6:837–847. 1992. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Kedzierska H and Piekielko-Witkowska A:
Splicing factors of SR and hnRNP families as regulators of
apoptosis in cancer. Cancer Lett. 396:53–65. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Mahiet C and Swanson CM: Control of HIV-1
gene expression by SR proteins. Biochem Soc Trans. 44:1417–1425.
2016. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Decatur CL, Ong E, Garg N, Anbunathan H,
Bowcock AM, Field MG and Harbour JW: Driver mutations in uveal
melanoma: Associations with gene expression profile and patient
outcomes. JAMA Ophthalmol. 134:728–733. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Hu Y, Sun Z, Deng J, Hu B, Yan W, Wei H
and Jiang J: Splicing factor hnRNPA2B1 contributes to tumorigenic
potential of breast cancer cells through STAT3 and ERK1/2 signaling
pathway. Tumour Biol. 39:10104283176943182017. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Koedoot E, Fokkelman M, Rogkoti VM, Smid
M, van de Sandt I, de Bont H, Pont C, Klip JE, Wink S, Timmermans
MA, et al: Uncovering the signaling landscape controlling breast
cancer cell migration identifies novel metastasis driver genes. Nat
Commun. 10:29832019. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Singh R, Gupta SC, Peng WX, Zhou N,
Pochampally R, Atfi A, Watabe K, Lu Z and Mo YY: Regulation of
alternative splicing of Bcl-x by BC200 contributes to breast cancer
pathogenesis. Cell Death Dis. 7:e22622016. View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Oltean S and Bates DO: Hallmarks of
alternative splicing in cancer. Oncogene. 33:5311–5318. 2014.
View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Feng W, Liang C, Wang C, Yu X, Li Q and
Yang H: Knockdown of ribosomal protein S15A inhibits proliferation
of breast cancer cells through induction of apoptosis in vitro.
Cytotechnology. 70:1315–1323. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Thakur A, Sun Y, Bollig A, Wu J, Biliran
H, Banerjee S, Sarkar FH and Liao DJ: Anti-invasive and
antimetastatic activities of ribosomal protein S6 kinase 4 in
breast cancer cells. Clin Cancer Res. 14:4427–4436. 2008.
View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Zhu J, Li QY, Liu JL, Wei W, Yang HW and
Tang W: RSK4 knockdown promotes proliferation, migration and
metastasis of human breast adenocarcinoma cells. Oncol Rep.
34:3156–3162. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Ono H, Iizumi Y, Goi W, Sowa Y, Taguchi T
and Sakai T: Ribosomal protein S3 regulates XIAP expression
independently of the NF-kB pathway in breast cancer cells. Oncol
Rep. 38:3205–3210. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Wang F, Lu J, Li S, Huo X, Liu X, Du X, Li
C, Wang J and Chen Z: Application of serum ELAVL4 (HuD) antigen
assay for small cell lung cancer diagnosis. Anticancer Res.
37:4515–4522. 2017.PubMed/NCBI
|
|
49
|
Wong KK, Rostomily R and Wong STC:
Prognostic gene discovery in glioblastoma patients using deep
learning. Cancers (Basel). 11:E532019. View Article : Google Scholar : PubMed/NCBI
|
