1
|
World Health Organization (WHO): Global
health estimates 2020: Deaths by cause, age, sex, by country and by
region, 2000-2019. WHO, Geneva, 2019.
|
2
|
Sung H, Ferlay J, Siegel RL, Laversanne M,
Soerjomataram I, Jemal A and Bray F: Global cancer statistics 2020:
GLOBOCAN estimates of incidence and mortality worldwide for 36
cancers in 185 countries. CA Cancer J Clin. 71:209–249.
2021.PubMed/NCBI View Article : Google Scholar
|
3
|
Wang Z, Guo M, Ai X, Cheng J, Huang Z, Li
X and Chen Y: Identification of potential diagnostic and prognostic
biomarkers for colorectal cancer based on GEO and TCGA databases.
Front Genet. 11(602922)2020.PubMed/NCBI View Article : Google Scholar
|
4
|
Sathishkumar K, Chaturvedi M, Das P,
Stephen S and Mathur P: Cancer incidence estimates for 2022 &
projection for 2025: Result from national cancer registry
programme, India. Indian J Med Res. 156:598–607. 2022.PubMed/NCBI View Article : Google Scholar
|
5
|
Zhang PW, Chen L, Huang T, Zhang N, Kong
XY and Cai YD: Classifying ten types of major cancers based on
reverse phase protein array profiles. PLoS One.
10(e0123147)2015.PubMed/NCBI View Article : Google Scholar
|
6
|
Gao S, Gang J, Yu M, Xin G and Tan H:
Computational analysis for identification of early diagnostic
biomarkers and prognostic biomarkers of liver cancer based on GEO
and TCGA databases and studies on pathways and biological functions
affecting the survival time of liver cancer. BMC Cancer.
21(791)2021.PubMed/NCBI View Article : Google Scholar
|
7
|
Liu P, Li H, Liao C, Tang Y, Li M, Wang Z,
Wu Q and Zhou Y: Identification of key genes and biological
pathways in Chinese lung cancer population using bioinformatics
analysis. PeerJ. 10(e12731)2022.PubMed/NCBI View Article : Google Scholar
|
8
|
Yang HJ, Xue JM, Li J, Wan LH and Zhu YX:
Identification of key genes and pathways of diagnosis and prognosis
in cervical cancer by bioinformatics analysis. Mol Genet Genomic
Med. 8(e1200)2020.PubMed/NCBI View Article : Google Scholar
|
9
|
Xie LY, Huang HY, Fang T, Liang JY, Hao
YL, Zhang XJ, Xie YX, Wang C, Tan YH and Zeng L: A prognostic
survival model of pancreatic adenocarcinoma based on
metabolism-related gene expression. Front Genet.
13(804190)2022.PubMed/NCBI View Article : Google Scholar
|
10
|
Yin LK, Yuan HY, Liu JJ, Xu XL, Wang W,
Bai XY and Wang P: Identification of survival-associated biomarkers
based on three datasets by bioinformatics analysis in gastric
cancer. World J Clin Cases. 11:4763–4787. 2023.PubMed/NCBI View Article : Google Scholar
|
11
|
Patel KD, Vora HH and Patel PS:
Transcriptional biomarkers in oral cancer: An integrative analysis
and the cancer genome atlas validation. Asian Pac J Cancer Prev.
22:371–380. 2021.PubMed/NCBI View Article : Google Scholar
|
12
|
Veyel D, Wenger K, Broermann A,
Bretschneider T, Luippold AH, Krawczyk B, Rist W and Simon E:
Biomarker discovery for chronic liver diseases by multi-omics-a
preclinical case study. Sci Rep. 10(1314)2020.PubMed/NCBI View Article : Google Scholar
|
13
|
Wang F, Su Q and Li C: Identidication of
novel biomarkers in non-small cell lung cancer using machine
learning. Sci Rep. 12(16693)2022.PubMed/NCBI View Article : Google Scholar
|
14
|
O'Neill RS and Stoita A: Biomarkers in the
diagnosis of pancreatic cancer: Are we closer to finding the golden
ticket? World J Gastroenterol. 27:4045–4087. 2021.PubMed/NCBI View Article : Google Scholar
|
15
|
Kori M and Arga KY: Potential biomarkers
and therapeutic targets in cervical cancer: Insights from the
meta-analysis of transcriptomics data within network biomedicine
perspective. PLoS One. 13(e0200717)2018.PubMed/NCBI View Article : Google Scholar
|
16
|
Sun B, Li Y, Zhou Y, Ng TK, Zhao C, Gan Q,
Gu X and Xiang J: Circulating exosomal CPNE3 as a diagnostic and
prognostic biomarker for colorectal cancer. J Cell Physiol.
234:1416–1425. 2019.PubMed/NCBI View Article : Google Scholar
|
17
|
Han J, Chen M, Wang Y, Gong B, Zhuang T,
Liang L and Qiao H: Identification of biomarkers based on
differentially expressed genes in papillary thyroid carcinoma. Sci
Rep. 8(9912)2018.PubMed/NCBI View Article : Google Scholar
|
18
|
Neary B, Zhou J and Qiu P: Identifying
gene expression patterns associated with drug-specific survival in
cancer patients. Sci Rep. 11(5004)2021.PubMed/NCBI View Article : Google Scholar
|
19
|
Colaprico A, Silva TC, Olsen C, Garofano
L, Cava C, Garolini D, Sabedot TS, Malta TM, Pagnotta SM,
Castiglioni I, et al: TCGAbiolinks: An R/Bioconductor package for
integrative analysis of TCGA data. Nucleic Acids Res.
44(e71)2016.PubMed/NCBI View Article : Google Scholar
|
20
|
Love MI, Huber W and Anders S: Moderated
estimation of fold change and dispersion for RNA-seq data with
DESeq2. Genome Biol. 15(550)2014.PubMed/NCBI View Article : Google Scholar
|
21
|
von Mering C, Huynen M, Jaeggi D, Schmidt
S, Bork P and Snel B: STRING: A database of predicted functional
associations between proteins. Nucleic Acids Res. 31:258–261.
2003.PubMed/NCBI View Article : Google Scholar
|
22
|
Gu Z, Eils R and Schlesner M: Complex
heatmaps reveal patterns and correlations in multidimensional
genomic data. Bioinformatics. 32:2847–2849. 2016.PubMed/NCBI View Article : Google Scholar
|
23
|
Tang Z, Li C, Kang B, Gao G, Li C and
Zhang Z: GEPIA: A web server for cancer and normal gene expression
profiling and interactive analyses. Nucleic Acids Res. 45:W98–W102.
2017.PubMed/NCBI View Article : Google Scholar
|
24
|
Tang Z, Kang B, Li C, Chen T and Zhang Z:
GEPIA2: An enhanced web server for large-scale expression profiling
and interactive analysis. Nucleic Acids Res. 47:W556–W560.
2019.PubMed/NCBI View Article : Google Scholar
|
25
|
Liao Y, Wang J, Jaehnig EJ, Shi Z and
Zhang B: WebGestalt 2019: Gene set analysis toolkit with revamped
UIs and APIs. Nucleic Acids Res. 47:W199–W205. 2019.PubMed/NCBI View Article : Google Scholar
|
26
|
Picot E, Jouan R, Bach E, Murcier G and
Borgnat F: Oral metastasis of pulmonary adenocarcinoma: Diagnosis
and treatment. J Oral Med Oral Surg. 25:9–12. 2019.
|
27
|
Yu D, Guo R and Zhu L: The risk and
prognostic factors for lung metastases in oral squamous cell
carcinoma: A population-based analysis of the SEER database. J
Stomatol Oral Maxillofac Surg. 125(101713)2024.PubMed/NCBI View Article : Google Scholar
|
28
|
Hong JH, Lee K, Kim J and Ahn KM:
Prognosis of hepatocellular carcinoma metastasizing to the oral
cavity. Maxillofac Plast Reconstr Surg. 43(9)2021.PubMed/NCBI View Article : Google Scholar
|
29
|
Misra SR, Shankar YU, Rastogi V and
Maragathavalli G: Metastatic hepatocellular carcinoma in the
maxilla and mandible, an extremely rare presentation. Contemp Clin
Dent. 6:S117–S121. 2015.PubMed/NCBI View Article : Google Scholar
|
30
|
Pires RS, Sagarra R, Corrêa ME, Pereira
CM, Vargas PA and Lopes MA: Oral metastasis of a hepatocellular
carcinoma. Oral Surg Oral Med Oral Pathol Oral Radiol Endod.
97:359–368. 2004.PubMed/NCBI View Article : Google Scholar
|
31
|
Yin L, Gupta R, Vaught L, Grosche A,
Okunieff P and Vidyasagar S: An amino acid-based oral rehydration
solution (AA-ORS) enhanced intestinal epithelial proliferation in
mice exposed to radiation. Sci Rep. 6(37220)2016.PubMed/NCBI View Article : Google Scholar
|
32
|
Livak KJ and Schmittgen TD: Analysis of
relative gene expression data using real-time quantitative PCR and
the 2(-Delta Delta C(T)) method. Methods. 25:402–408.
2001.PubMed/NCBI View Article : Google Scholar
|
33
|
Youens-Clark K, Faga B, Yap IV, Stein L
and Ware D: CMap 1.01: A comparative mapping application for the
internet. Bioinformatics. 25:3040–3042. 2009.PubMed/NCBI View Article : Google Scholar
|
34
|
Dallakyan S and Olson AJ: Small-molecule
library screening by docking with PyRx. Methods Mol Biol.
1263:243–250. 2015.PubMed/NCBI View Article : Google Scholar
|
35
|
Phillips JC, Hardy DJ, Maia JDC, Stone JE,
Ribeiro JV, Bernardi RC, Buch R, Fiorin G, Hénin J, Jiang W, et al:
Scalable molecular dynamics on CPU and GPU architectures with NAMD.
J Chem Phys. 153(044130)2020.PubMed/NCBI View Article : Google Scholar
|
36
|
Cerami E, Gao J, Dogrusoz U, Gross BE,
Sumer SO, Aksoy BA, Jacobsen A, Byrne CJ, Heuer ML, Larsson E, et
al: The cBio cancer genomics portal: An open platform for exploring
multidimensional cancer genomics data. Cancer Discov. 2:401–404.
2012.PubMed/NCBI View Article : Google Scholar
|
37
|
Sun Y, Cheng Z and Liu S: MCM2 in human
cancer: Functions, mechanisms, and clinical significance. Mol Med.
28(128)2022.PubMed/NCBI View Article : Google Scholar
|
38
|
Li H, Han D, Hou Y, Chen H and Chen Z:
Statistical inference methods for two crossing survival curves: A
comparison of methods. PLoS One. 10(e0116774)2015.PubMed/NCBI View Article : Google Scholar
|
39
|
von Eyben FE, Madsen EL, Fritsche H, Suciu
G, Liu F and Amato R: A new prognostic model for testicular germ
cell tumours. APMIS. 111:100–105. 2003.PubMed/NCBI View Article : Google Scholar
|
40
|
Aghbash PS, Hemmat N, Fathi H and Baghi
HB: Monoclonal antibodies in cervical malignancy-related HPV. Front
Oncol. 12(904790)2022.PubMed/NCBI View Article : Google Scholar
|
41
|
Psilopatis I, Damaskos C, Garmpi A,
Sarantis P, Koustas E, Antoniou EA, Dimitroulis D, Kouraklis G,
Karamouzis MV, Vrettou K, et al: FDA-approved monoclonal antibodies
for unresectable hepatocellular carcinoma: What do we know so far?
Int J Mol Sci. 24(2685)2023.PubMed/NCBI View Article : Google Scholar
|
42
|
Zhou CC, Bai CX, Guan ZZ, Jiang GL, Shi
YK, Wang MZ, Wu YL, Zhang YP and Zhu YZ: Safety and efficacy of
first-line bevacizumab combination therapy in Chinese population
with advanced non-squamous NSCLC: Data of subgroup analyses from
MO19390 (SAiL) study. Clin Transl Oncol. 16:463–468.
2014.PubMed/NCBI View Article : Google Scholar
|
43
|
Wan R, Dong X, Chen Q, Yu Y, Yang S, Zhang
X, Zhang G, Pan Y, Sun S, Zhou C, et al: Efficacy and safety of
MIL60 compared with bevacizumab in advanced or recurrent
non-squamous non-small cell lung cancer: A phase 3 randomized,
double-blind study. EClinicalMedicine. 42(101187)2021.PubMed/NCBI View Article : Google Scholar
|
44
|
Dong C, Huang S, Sun L, Yao J, Yan J and
Yin X: DLGAP4 acts as an effective prognostic predictor for
hepatocellular carcinoma and is closely related to tumour
progression. Sci Rep. 12(19775)2022.PubMed/NCBI View Article : Google Scholar
|
45
|
Liao W, Liu W, Yuan Q, Liu X, Ou Y, He S,
Yuan S, Qin L, Chen Q, Nong K, et al: Silencing of DLGAP5 by siRNA
significantly inhibits the proliferation and invasion of
hepatocellular carcinoma cells. PLoS One. 8(e80789)2013.PubMed/NCBI View Article : Google Scholar
|
46
|
Tang X, Zhou H and Liu Y: High expression
of DLGAP5 Indicates poor prognosis and immunotherapy in lung
adenocarcinoma and promotes proliferation through regulation of the
cell cycle. Dis Markers. 2023(9292536)2023.PubMed/NCBI View Article : Google Scholar
|
47
|
Ju LL, Chen L, Li JH, Wang YF, Lu RJ, Bian
ZL and Shao JG: Effect of NDC80 in human hepatocellular carcinoma.
World J Gastroenterol. 23:3675–3683. 2017.PubMed/NCBI View Article : Google Scholar
|
48
|
Chen X, He Q, Zeng S and Xu Z:
Upregulation of nuclear division cycle 80 contributes to
therapeutic resistance via the promotion of autophagy-related
protein-7-dependent autophagy in lung cancer. Front Pharmacol.
13(985601)2022.PubMed/NCBI View Article : Google Scholar
|
49
|
Zhang H, Liu Y, Tang S, Qin X, Li L, Zhou
J, Zhang J and Liu B: Knockdown of DLGAP5 suppresses cell
proliferation, induces G(2)/M phase arrest and apoptosis in ovarian
cancer. Exp Ther Med. 22(1245)2021.PubMed/NCBI View Article : Google Scholar
|
50
|
Yang CL, He JT, Li NN, Song R, Ni HH,
Huang JT, Liu GQ, Wang JD, Li YK, Zhan GH, et al: Clinical value of
PRC1 and DLGAP5 and immunosuppressive T cells overexpressing them
in HCC based on transcriptome data. ResarchSquare. 2023. doi:
10.21203/rs.3.rs-2616803/v1.
|
51
|
Chen X, Li W, Xiao L and Liu L: Nuclear
division cycle 80 complex is associated with malignancy and
predicts poor survival of hepatocellular carcinoma. Int J Clin Exp
Pathol. 12:1233–1247. 2019.PubMed/NCBI
|
52
|
Liu B, Yao Z, Hu K, Huang H, Xu S, Wang Q,
Yang Y and Ren J: ShRNA-mediated silencing of the Ndc80 gene
suppress cell proliferation and affected hepatitis B virus-related
hepatocellular carcinoma. Clin Res Hepatol Gastroenterol.
40:297–303. 2016.PubMed/NCBI View Article : Google Scholar
|
53
|
Cao T, Yi SJ, Wang LX, Zhao JX, Xiao J,
Xie N, Zeng Z, Han Q, Tang HO, Li YK, et al: Identification of the
DNA replication regulator MCM complex expression and prognostic
significance in hepatic carcinoma. Biomed Res Int.
2020(3574261)2020.PubMed/NCBI View Article : Google Scholar
|
54
|
Wang XK, Wang QQ, Huang JL, Zhang LB, Zhou
X, Liu JQ, Chen ZJ, Liao XW, Huang R, Yang CK, et al: Novel
candidate biomarkers of origin recognition complex 1, 5 and 6 for
survival surveillance in patients with hepatocellular carcinoma. J
Cancer. 11:1869–1882. 2020.PubMed/NCBI View Article : Google Scholar
|
55
|
Yang C, Xie S, Wu Y, Ru G, He X, Pan HY,
Wang S and Tong X: Prognostic implications of cell division cycle
protein 45 expression in hepatocellular carcinoma. PeerJ.
9(e10824)2021.PubMed/NCBI View Article : Google Scholar
|
56
|
Cai H, Zhu X, Qian F, Shao B, Zhou Y,
Zhang Y and Chen Z: High expression of TOP2A gene predicted poor
prognosis of hepatocellular carcinoma after radical hepatectomy.
Transl Cancer Res. 9:983–992. 2020.PubMed/NCBI View Article : Google Scholar
|
57
|
Del Moral-Hernandez O, Hernandez-Sotelo D,
Alarcon-Romero LDC, Mendoza-Catalan MA, Flores-Alfaro E,
Castro-Coronel Y, Ortiz-Ortiz J, Leyva-Vázquez MA, Ortuño-Pineda C,
Castro-Mora W and Illades-Aguiar B: TOP2A/MCM2, p16(INK4a), and
cyclin E1 expression in liquid-based cytology: A biomarkers panel
for progression risk of cervical premalignant lesions. BMC Cancer.
21(39)2021.PubMed/NCBI View Article : Google Scholar
|
58
|
He Z, Wang X, Yang Z, Jiang Y, Li L, Wang
X, Song Z, Wang X, Wan J, Jiang S, et al: Expression and prognosis
of CDC45 in cervical cancer based on the GEO database. PeerJ.
9(e12114)2021.PubMed/NCBI View Article : Google Scholar
|
59
|
Chen X, Xiong D, Ye L, Wang K, Huang L,
Mei S, Wu J, Chen S, Lai X, Zheng L and Wang M: Up-regulated lncRNA
XIST contributes to progression of cervical cancer via regulating
miR-140-5p and ORC1. Cancer Cell Int. 19(45)2019.PubMed/NCBI View Article : Google Scholar
|
60
|
Ma H, Liu Z, Li H, Guo X, Guo S, Qu P and
Wang Y: Bioinformatics analysis reveals MCM3 as an important
prognostic marker in cervical cancer. Comput Math Methods Med.
2021(8494260)2021.PubMed/NCBI View Article : Google Scholar
|
61
|
Yuan J, Lan H, Huang D, Guo X, Liu C, Liu
S, Zhang P, Cheng Y and Xiao S: Multi-Omics analysis of MCM2 as a
promising biomarker in pan-cancer. Front Cell Dev Biol.
10(852135)2022.PubMed/NCBI View Article : Google Scholar
|
62
|
Wu L, Chen H and Yang C: Origin
recognition complex subunit 1(ORC1) is a potential biomarker and
therapeutic target in cancer. BMC Med Genomics.
16(243)2023.PubMed/NCBI View Article : Google Scholar
|
63
|
Wang T, Lu J, Wang R, Cao W and Xu J:
TOP2A promotes proliferation and metastasis of hepatocellular
carcinoma regulated by miR-144-3p. J Cancer. 13:589–601.
2022.PubMed/NCBI View Article : Google Scholar
|
64
|
Kyritsis KA, Akrivou MG, Giassafaki LP,
Grigoriadis NG and Vizirianakis IS: Analysis of TCGA data of
differentially expressed EMT-related genes and miRNAs across
various malignancies to identify potential biomarkers. World
Academy Of Sciences Journal. 3(6)2021.
|
65
|
Nascimento J, Mariot C, Vianna DRB,
Kliemann LM, Chaves PS, Loda M, Buffon A, Beck RCR and Pilger DA:
Fatty acid synthase as a potential new therapeutic target for
cervical cancer. An Acad Bras Cienc. 94(e20210670)2022.PubMed/NCBI View Article : Google Scholar
|
66
|
Myung SJ, Yoon JH and Yu SJ: STAT3 &
Cytochrome P450 2C9: A novel signaling pathway in liver cancer stem
cells. Biomed Pharmacother. 66:612–616. 2012.PubMed/NCBI View Article : Google Scholar
|
67
|
Chen D, Feng X, Lv Z, Xu X, Lu Y, Wu W, Wu
H, Liu H, Cao L, Ye S, et al: ACADS acts as a potential methylation
biomarker associated with the proliferation and metastasis of
hepatocellular carcinomas. Aging (Albany NY). 11:8825–8844.
2019.PubMed/NCBI View Article : Google Scholar
|
68
|
Liersch T, Langer C, Ghadimi BM, Kulle B,
Aust DE, Baretton GB, Schwabe W, Häusler P, Becker H and Jakob C:
Lymph node status and TS gene expression are prognostic markers in
stage II/III rectal cancer after neoadjuvant fluorouracil-based
chemoradiotherapy. J Clin Oncol. 24:4062–4068. 2006.PubMed/NCBI View Article : Google Scholar
|
69
|
Chen TH, Chiu JY and Shih KH: A 23-gene
prognostic classifier for prediction of recurrence and survival for
Asian breast cancer patients. Biosci Rep.
40(BSR20202794)2020.PubMed/NCBI View Article : Google Scholar
|