|
1
|
Chen W, Zheng R, Baade PD, Zhang S, Zeng
H, Bray F, Jemal A, Yu XQ and He J: Cancer statistics in China,
2015. CA Cancer J Clin. 66:115–132. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Arnold M, Sierra MS, Laversanne M,
Soerjomataram I, Jemal A and Bray F: Global patterns and trends in
colorectal cancer incidence and mortality. Gut. 66:683–691. 2017.
View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Baca B, Beart RW Jr and Etzioni DA:
Surveillance after colorectal cancer resection: A systematic
review. Dis Colon Rectum. 54:1036–1048. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Inadomi JM: Screening for colorectal
neoplasia. N Engl J Med. 376:1599–1600. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Lee JS: Exploring cancer genomic data from
the cancer genome atlas project. BMB Rep. 49:607–611. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Yip S, Christofides A, Banerji S, Downes
MR, Izevbaye I, Lo B, MacMillan A, McCuaig J, Stockley T, Yousef GM
and Spatz A: A Canadian guideline on the use of next-generation
sequencing in oncology. Curr Oncol. 26:e241–e254. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Sun D, Chen J, Liu L, Zhao G, Dong P, Wu
B, Wang J and Dong L: Establishment of a 12-gene expression
signature to predict colon cancer prognosis. PeerJ. 6:e49422018.
View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Lee JH, Jung S, Park WS, Choe EK, Kim E,
Shin R, Heo SC, Lee JH, Kim K and Chai YJ: Prognostic nomogram of
hypoxia-related genes predicting overall survival of colorectal
cancer-analysis of TCGA database. Sci Rep. 9:18032019. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Yan X, Jiao SC, Zhang GQ, Guan Y and Wang
JL: Tumor-associated immune factors are associated with recurrence
and metastasis in non-small cell lung cancer. Cancer Gene Ther.
24:57–63. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Edgar R, Domrachev M and Lash AE: Gene
expression omnibus: NCBI gene expression and hybridization array
data repository. Nucleic Acids Res. 30:207–210. 2002. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Marisa L, de Reynies A, Duval A, Selves J,
Gaub MP, Vescovo L, Etienne-Grimaldi MC, Schiappa R, Guenot D,
Ayadi M, et al: Gene expression classification of colon cancer into
molecular subtypes: Characterization, validation, and prognostic
value. PLoS Med. 10:e10014532013. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
An N, Shi X, Zhang Y, Lv N, Feng L, Di X,
Han N, Wang G, Cheng S and Zhang K: Discovery of a novel immune
gene signature with profound prognostic value in colorectal cancer:
A model of cooperativity disorientation created in the process from
development to cancer. PLoS One. 10:e01371712015. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Mounir M, Lucchetta M, Silva TC, Olsen C,
Bontempi G, Chen X, Noushmehr H, Colaprico A and Papaleo E: New
functionalities in the TCGAbiolinks package for the study and
integration of cancer data from GDC and GTEx. PLoS Comput Biol.
15:e10067012019. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Newman AM, Liu CL, Green MR, Gentles AJ,
Feng W, Xu Y, Hoang CD, Diehn M and Alizadeh AA: Robust enumeration
of cell subsets from tissue expression profiles. Nat Methods.
12:453–457. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Chen B, Khodadoust MS, Liu CL, Newman AM
and Alizadeh AA: Profiling tumor infiltrating immune cells with
CIBERSORT. Methods Mol Biol. 1711:243–259. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Li Q, Su YL and Shen WX: A novel
prognostic signature of seven genes for the prediction in patients
with thymoma. J Cancer Res Clin Oncol. 145:109–116. 2019.
View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Yang Y, Lu Q, Shao X, Mo B, Nie X, Liu W,
Chen X, Tang Y, Deng Y and Yan J: Development of A three-gene
prognostic signature for hepatitis B virus associated
hepatocellular carcinoma based on integrated transcriptomic
analysis. J Cancer. 9:1989–2002. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Langfelder P and Horvath S: WGCNA: An R
package for weighted correlation network analysis. BMC
Bioinformatics. 9:5592008. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Yuan L, Zeng G, Chen L, Wang G and Wang X,
Cao X, Lu M, Liu X, Qian G, Xiao Y and Wang X: Identification of
key genes and pathways in human clear cell renal cell carcinoma
(ccRCC) by co-expression analysis. Int J Biol Sci. 14:266–279.
2018. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Szklarczyk D, Gable AL, Lyon D, Junge A,
Wyder S, Huerta-Cepas J, Simonovic M, Doncheva NT, Morris JH, Bork
P, et al: STRING v11: Protein-protein association networks with
increased coverage, supporting functional discovery in genome-wide
experimental datasets. Nucleic Acids Res. 47((D1)): D607–D613.
2019. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Yu G, Wang LG, Han Y and He QY:
ClusterProfiler: An R package for comparing biological themes among
gene clusters. OMICS. 16:284–287. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Zhu Z, Jin Z, Deng Y, Wei L, Yuan X, Zhang
M and Sun D: Co-expression network analysis identifies four hub
genes associated with prognosis in soft tissue sarcoma. Front
Genet. 10:372019. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Liu J, Zhou S, Li S, Jiang Y, Wan Y, Ma X
and Cheng W: Eleven genes associated with progression and prognosis
of endometrial cancer (EC) identified by comprehensive
bioinformatics analysis. Cancer Cell Int. 19:1362019. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Gu S, Lin S, Ye D, Qian S, Jiang D, Zhang
X, Li Q, Yang J, Ying X, Li Z, et al: Genome-wide methylation
profiling identified novel differentially hypermethylated biomarker
MPPED2 in colorectal cancer. Clin Epigenetics. 11:412019.
View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Turcan S, Rohle D, Goenka A, Walsh LA,
Fang F, Yilmaz E, Campos C, Fabius AW, Lu C, Ward PS, et al: IDH1
mutation is sufficient to establish the glioma hypermethylator
phenotype. Nature. 483:479–483. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Sun X, Han Q, Luo H, Pan X, Ji Y, Yang Y,
Chen H, Wang F, Lai W, Guan X, et al: Profiling analysis of long
non-coding RNAs in early postnatal mouse hearts. Sci Rep.
7:434852017. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Pesenti C, Navone SE, Guarnaccia L,
Terrasi A, Costanza J, Silipigni R, Guarneri S, Fusco N, Fontana L,
Locatelli M, et al: The genetic landscape of human glioblastoma and
matched primary cancer stem cells reveals intratumour similarity
and intertumour heterogeneity. Stem Cells Int. 2019:26170302019.
View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Wen Q, Yang Y, Chen XH, Pan XD, Han Q,
Wang D, Deng YC, Li XH, Yan J and Zhou JH: Competing endogenous RNA
screening based on long noncoding RNA-messenger RNA co-expression
profile in Hepatitis B virus-associated hepatocarcinogenesis. J
Tradit Chin Med. 37:510–521. 2017. View Article : Google Scholar
|
|
29
|
Chen P, Wang F, Feng J, Zhou R, Chang Y,
Liu J and Zhao Q: Co-expression network analysis identified six hub
genes in association with metastasis risk and prognosis in
hepatocellular carcinoma. Oncotarget. 8:48948–48958.
2017.PubMed/NCBI
|
|
30
|
Zhang Y, Chen Z and Li J: The current
status of treatment for colorectal cancer in China: A systematic
review. Medicine (Baltimore). 96:e82422017. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Tosolini M, Kirilovsky A, Mlecnik B,
Fredriksen T, Mauger S, Bindea G, Berger A, Bruneval P, Fridman WH,
Pages F and Galon J: Clinical impact of different classes of
infiltrating T cytotoxic and helper cells (Th1, th2, treg, th17) in
patients with colorectal cancer. Cancer Res. 71:1263–1271. 2011.
View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Deschoolmeester V, Baay M, Lardon F,
Pauwels P and Peeters M: immune cells in colorectal cancer:
Prognostic relevance and role of MSI. Cancer Microenviron.
4:377–392. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Edin S, Wikberg ML, Dahlin AM, Rutegard J,
Oberg A, Oldenborg PA and Palmqvist R: The distribution of
macrophages with a M1 or M2 phenotype in relation to prognosis and
the molecular characteristics of colorectal cancer. PLoS One.
7:e470452012. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Alsamman K and El-Masry OS: Interferon
regulatory factor 1 inactivation in human cancer. Biosci Rep.
38(pii): BSR201716722018. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Xie C, Liu C, Wu B, Lin Y, Ma T, Xiong H,
Wang Q, Li Z, Ma C and Tu Z: Effects of IRF1 and IFN-β interaction
on the M1 polarization of macrophages and its antitumor function.
Int J Mol Med. 38:148–160. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Huang C, Lewis C, Borg NA, Canals M, Diep
H, Drummond GR, Goode RJ, Schittenhelm RB, Vinh A, Zhu M, et al:
Proteomic identification of interferon-induced proteins with
tetratricopeptide repeats as markers of M1 macrophage polarization.
J Proteome Res. 17:1485–1499. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Gunthner R and Anders HJ:
Interferon-regulatory factors determine macrophage phenotype
polarization. Mediators Inflamm. 2013:7310232013. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Hong M, Zhang Z, Chen Q, Lu Y, Zhang J,
Lin C, Zhang F, Zhang W and Li X, Zhang W and Li X: IRF1 inhibits
the proliferation and metastasis of colorectal cancer by
suppressing the RAS-RAC1 pathway. Cancer Manag Res. 11:369–378.
2018. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Zhang Q, Qiao L, Wang X, Ding C and Chen
JJ: UHRF1 epigenetically down-regulates UbcH8 to inhibit apoptosis
in cervical cancer cells. Cell Cycle. 17:300–308. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Britzen-Laurent N, Lipnik K, Ocker M,
Naschberger E, Schellerer VS, Croner RS, Vieth M, Waldner M,
Steinberg P, Hohenadl C and Stürzl M: GBP-1 acts as a tumor
suppressor in colorectal cancer cells. Carcinogenesis. 34:153–162.
2013. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Britzen-Laurent N, Herrmann C, Naschberger
E, Croner RS and Sturzl M: Pathophysiological role of
guanylate-binding proteins in gastrointestinal diseases. World J
Gastroenterol. 22:6434–6443. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Malek TR and Castro I: Interleukin-2
receptor signaling: At the interface between tolerance and
immunity. Immunity. 33:153–165. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Lorenzi S, Forloni M, Cifaldi L, Antonucci
C, Citti A, Boldrini R, Pezzullo M, Castellano A, Russo V, van der
Bruggen P, et al: IRF1 and NF-kB restore MHC class I-restricted
tumor antigen processing and presentation to cytotoxic T cells in
aggressive neuroblastoma. PLoS One. 7:e469282012. View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Yang MQ, Du Q, Varley PR, Goswami J, Liang
Z, Wang R, Li H, Stolz DB and Geller DA: Interferon regulatory
factor 1 priming of tumour-derived exosomes enhances the antitumour
immune response. Br J Cancer. 118:62–71. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Cascone T, McKenzie JA, Mbofung RM, Punt
S, Wang Z, Xu C, Williams LJ, Wang Z, Bristow CA, Carugo A, et al:
Increased tumor glycolysis characterizes immune resistance to
adoptive t cell therapy. Cell Metab. 27:977–987.e4. 2018.
View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Buccione C, Fragale A, Polverino F,
Ziccheddu G, Arico E, Belardelli F, Proietti E, Battistini A and
Moschella F: Role of interferon regulatory factor 1 in governing
Treg depletion, Th1 polarization, inflammasome activation and
antitumor efficacy of cyclophosphamide. Int J Cancer. 142:976–987.
2018. View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Zhuang J, Shan Z, Ma T, Li C, Qiu S, Zhou
X, Lin L and Qi Z: CXCL9 and CXCL10 accelerate acute transplant
rejection mediated by alloreactive memory T cells in a mouse
retransplantation model. Exp Ther Med. 8:237–242. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Corbera-Bellalta M, Planas-Rigol E, Lozano
E, Terrades-García N, Alba MA, Prieto-González S, García-Martínez
A, Albero R, Enjuanes A, Espígol-Frigolé G, et al: Blocking
interferon γ reduces expression of chemokines CXCL9, CXCL10 and
CXCL11 and decreases macrophage infiltration in ex vivo cultured
arteries from patients with giant cell arteritis. Ann Rheum Dis.
75:1177–1186. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
49
|
Nassiri F, Mamatjan Y, Suppiah S,
Badhiwala JH, Mansouri S, Karimi S, Saarela O, Poisson L,
Gepfner-Tuma I, Schittenhelm J, et al: DNA methylation profiling to
predict recurrence risk in meningioma: Development and validation
of a nomogram to optimize clinical management. Neuro Oncol. Jan
3–2019.(Epub ahead of print). View Article : Google Scholar
|
|
50
|
Yamashita M, Toyota M, Suzuki H, Nojima M,
Yamamoto E, Kamimae S, Watanabe Y, Kai M, Akashi H, Maruyama R, et
al: DNA methylation of interferon regulatory factors in gastric
cancer and noncancerous gastric mucosae. Cancer Sci. 101:1708–1716.
2010. View Article : Google Scholar : PubMed/NCBI
|
