1
|
Ferlay J, Soerjomataram I, Dikshit R, Eser
S, Mathers C, Rebelo M, Parkin DM, Forman D and Bray F: Cancer
incidence and mortality worldwide: Sources, methods and major
patterns in GLOBOCAN 2012. Int J Cancer. 136:E359–E386. 2015.
View Article : Google Scholar : PubMed/NCBI
|
2
|
Bertuccio P, Chatenoud L, Levi F, Praud D,
Ferlay J, Negri E, Malvezzi M and La Vecchia C: Recent patterns in
gastric cancer: A global overview. Int J Cancer. 125:666–673. 2009.
View Article : Google Scholar : PubMed/NCBI
|
3
|
Allemani C, Weir HK, Carreira H, Harewood
R, Spika D, Wang XS, Bannon F, Ahn JV, Johnson CJ, Bonaventure A,
et al: Global surveillance of cancer survival 1995–2009: Analysis
of individual data for 25,676,887 patients from 279
population-based registries in 67 countries (CONCORD-2). Lancet.
385:977–1010. 2015. View Article : Google Scholar : PubMed/NCBI
|
4
|
Pectasides D, Mylonakis A, Kostopoulou M,
Papadopoulou M, Triantafillis D, Varthalitis J, Dimitriades M and
Athanassiou A: CEA, CA 19-9 and CA-50 in monitoring gastric
carcinoma. Am J Clin Oncol. 20:348–353. 1997. View Article : Google Scholar : PubMed/NCBI
|
5
|
Ara H, Takagishi M, Enomoto A, Asai M,
Ushida K, Asai N, Shimoyama Y, Kaibuchi K, Kodera Y and Takahashi
M: Role for Daple in non-canonical Wnt signaling during gastric
cancer invasion and metastasis. Cancer Sci. 107:133–139. 2016.
View Article : Google Scholar : PubMed/NCBI
|
6
|
Yang AP, Liu J, Lei HY, Zhang QW, Zhao L
and Yang GH: CA72-4 combined with CEA, CA125 and CAl9-9 improves
the sensitivity for the early diagnosis of gastric cancer. Clin
Chim Acta. 437:183–186. 2014. View Article : Google Scholar : PubMed/NCBI
|
7
|
Yang S and Chung HC: Novel biomarker
candidates for gastric cancer. Oncol Rep. 19:675–680.
2008.PubMed/NCBI
|
8
|
Sun H: Identification of key genes
associated with gastric cancer based on DNA microarray data. Oncol
Lett. 11:525–530. 2016. View Article : Google Scholar : PubMed/NCBI
|
9
|
Hu K and Chen F: Identification of
significant pathways in gastric cancer based on protein-protein
interaction networks and cluster analysis. Genet Mol Biol.
35:701–708. 2012. View Article : Google Scholar : PubMed/NCBI
|
10
|
Zhang MH, Shen QH, Qin ZM, Wang QL and
Chen X: Systematic tracking of disrupted modules identifies
significant genes and pathways in hepatocellular carcinoma. Oncol
Lett. 12:3285–3295. 2016. View Article : Google Scholar : PubMed/NCBI
|
11
|
Gautier L, Cope L, Bolstad BM and Irizarry
RA: Affy-analysis of Affymetrix GeneChip data at the probe level.
Bioinformatics. 20:307–315. 2004. View Article : Google Scholar : PubMed/NCBI
|
12
|
Benito M, Parker J, Du Q, Wu J, Xiang D,
Perou CM and Marron JS: Adjustment of systematic microarray data
biases. Bioinformatics. 20:105–114. 2004. View Article : Google Scholar : PubMed/NCBI
|
13
|
Shen ZG, Guo JL and Li DS: Screening of
differentially expressed genes related to severe sepsis induced by
multiple trauma with DNA microarray. Eur Rev Med Pharmacol Sci.
18:734–739. 2014.PubMed/NCBI
|
14
|
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.
View Article : Google Scholar : PubMed/NCBI
|
15
|
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
|
16
|
Jin Z, Jiang W and Wang L: Biomarkers for
gastric cancer: Progression in early diagnosis and prognosis
(Review). Oncol Lett. 9:1502–1508. 2015. View Article : Google Scholar : PubMed/NCBI
|
17
|
Uppal DS and Powell SM:
Genetics/genomics/proteomics of gastric adenocarcinoma.
Gastroenterol Clin North Am. 42:241–260. 2013. View Article : Google Scholar : PubMed/NCBI
|
18
|
Fan B, Dachrut S, Coral H, Yuen ST, Chu
KM, Law S, Zhang L, Ji J, Leung SY and Chen X: Integration of DNA
copy number alterations and transcriptional expression analysis in
human gastric cancer. PLoS One. 7:e298242012. View Article : Google Scholar : PubMed/NCBI
|
19
|
Takeno A, Takemasa I, Doki Y, Yamasaki M,
Miyata H, Takiguchi S, Fujiwara Y, Matsubara K and Monden M:
Integrative approach for differentially overexpressed genes in
gastric cancer by combining large-scale gene expression profiling
and network analysis. Br J Cancer. 99:1307–1315. 2008. View Article : Google Scholar : PubMed/NCBI
|
20
|
Bauer L, Langer R, Becker K, Hapfelmeier
A, Ott K, Novotny A, Hofler H and Keller G: Expression profiling of
stem cell-related genes in neoadjuvant-treated gastric cancer: A
NOTCH2, GSK3B and beta-catenin gene signature predicts survival.
PLoS One. 7:e445662012. View Article : Google Scholar : PubMed/NCBI
|
21
|
Hudler P: Challenges of deciphering
gastric cancer heterogeneity. World J Gastroenterol.
21:10510–10527. 2015. View Article : Google Scholar : PubMed/NCBI
|
22
|
Cancer Genome Atlas Research Network, .
Comprehensive molecular characterization of gastric adenocarcinoma.
Nature. 513:202–209. 2014. View Article : Google Scholar : PubMed/NCBI
|
23
|
Zhang XP, Bai ZB, Chen BA, Feng JF, Yan F,
Jiang Z, Zhong YJ, Wu JZ, Chen L, Lu ZH, et al: Polymorphisms of
dihydropyrimidine dehydrogenase gene and clinical outcomes of
gastric cancer patients treated with fluorouracil-based adjuvant
chemotherapy in Chinese population. Chin Med J (Engl). 125:741–746.
2012.PubMed/NCBI
|
24
|
McGranahan N and Swanton C: Biological and
therapeutic impact of intratumor heterogeneity in cancer evolution.
Cancer Cell. 27:15–26. 2015. View Article : Google Scholar : PubMed/NCBI
|
25
|
Gerashchenko TS, Denisov EV, Litviakov NV,
Zavyalova MV, Vtorushin SV, Tsyganov MM, Perelmuter VM and
Cherdyntseva NV: Intratumor heterogeneity: Nature and biological
significance. Biochemistry (Mosc). 78:1201–1215. 2013. View Article : Google Scholar : PubMed/NCBI
|
26
|
Pinheiro Ddo R, Ferreira WA, Barros MB,
Araujo MD, Rodrigues-Antunes S and Borges Bdo N: Perspectives on
new biomarkers in gastric cancer: Diagnostic and prognostic
applications. World J Gastroenterol. 20:11574–11585. 2014.
View Article : Google Scholar : PubMed/NCBI
|
27
|
Chang F, Lee JT, Navolanic PM, Steelman
LS, Shelton JG, Blalock WL, Franklin RA and Mccubrey JA:
Involvement of PI3K/Akt pathway in cell cycle progression,
apoptosis and neoplastic transformation: A target for cancer
chemotherapy. Leukemia. 17:590–603. 2003. View Article : Google Scholar : PubMed/NCBI
|
28
|
Kikuchi A: Tumor formation by genetic
mutations in the components of the Wnt signaling pathway. Cancer
Sci. 94:225–229. 2010. View Article : Google Scholar
|
29
|
Uchi R, Kogo R, Kawahara K, Sudo T,
Yokobori T, Eguchi H, Sugimachi K, Maehama T, Mori M, Suzuki A, et
al: PICT1 regulates TP53 via RPL11 and is involved in gastric
cancer progression. Br J Cancer. 109:2199–2206. 2013. View Article : Google Scholar : PubMed/NCBI
|
30
|
Kim HJ and Oh SC: Novel systemic therapies
for advanced gastric cancer. J Gastric Cancer. 18:1–19. 2018.
View Article : Google Scholar : PubMed/NCBI
|
31
|
Bang YJ, Van Cutsem E, Feyereislova A,
Chung HC, Shen L, Sawaki A, Lordick F, Ohtsu A, Omuro Y, Satoh T,
et al: Trastuzumab in combination with chemotherapy versus
chemotherapy alone for treatment of HER2-positive advanced gastric
or gastro-oesophageal junction cancer (ToGA): A phase 3,
open-label, randomised controlled trial. Lancet. 376:687–697. 2010.
View Article : Google Scholar : PubMed/NCBI
|
32
|
Rüschoff J, Hanna W, Bilous M, Hofmann M,
Osamura RY, Penault-Llorca F, van de Vijver M and Viale G: HER2
testing in gastric cancer: A practical approach. Mod Pathol.
25:637–650. 2012. View Article : Google Scholar : PubMed/NCBI
|
33
|
Storlazzi CT, Wozniak A, Panagopoulos I,
Sciot R, Mandahl N, Mertens F and Debiec-Rychter M: Rearrangement
of the COL12A1 and COL4A5 genes in subungual exostosis: molecular
cytogenetic delineation of the tumor-specific translocation
t(X;6)(q13-14;q22). Int J Cancer. 118:1972–1976. 2006. View Article : Google Scholar : PubMed/NCBI
|
34
|
Januchowski R, Świerczewska M, Sterzyńska
K, Wojtowicz K, Nowicki M and Zabel M: Increased expression of
several collagen genes is associated with drug resistance in
ovarian cancer cell lines. J Cancer. 7:1295–1310. 2016. View Article : Google Scholar : PubMed/NCBI
|
35
|
Verghese ET, Drury R, Green CA, Holliday
DL, Lu X, Nash C, Speirs V, Thorne JL, Thygesen HH, Zougman A, et
al: MiR-26b is down-regulated in carcinoma-associated fibroblasts
from ER-positive breast cancers leading to enhanced cell migration
and invasion. J Pathol. 231:388–399. 2013. View Article : Google Scholar : PubMed/NCBI
|
36
|
Mikula M, Rubel T, Karczmarski J, Goryca
K, Dadlez M and Ostrowski J: Integrating proteomic and
transcriptomic high-throughput surveys for search of new biomarkers
of colon tumors. Funct Integr Genomics. 11:215–224. 2011.
View Article : Google Scholar : PubMed/NCBI
|
37
|
Hayes JD and Strange RC: Glutathione
S-transferase polymorphisms and their biological consequences.
Pharmacology. 61:154–166. 2000. View Article : Google Scholar : PubMed/NCBI
|
38
|
Hayes JD and Pulford DJ: The glutathione
S-transferase supergene family: Regulation of GST and the
contribution of the isoenzymes to cancer chemoprotection and drug
resistance. Crit Rev Biochem Mol Biol. 30:445–600. 1995. View Article : Google Scholar : PubMed/NCBI
|
39
|
Drozd E, Krzysztoń-Russjan J, Marczewska
J, Drozd J, Bubko I, Bielak M, Lubelska K, Wiktorska K, Chilmonczyk
Z, Anuszewska E and Gruber-Bzura B: Up-regulation of
glutathione-related genes, enzyme activities and transport proteins
in human cervical cancer cells treated with doxorubicin. Biomed
Pharmacother. 83:397–406. 2016. View Article : Google Scholar : PubMed/NCBI
|
40
|
Wang H, Meyer CA, Fei T, Wang G, Zhang F
and Liu XS: A systematic approach identifies FOXA1 as a key factor
in the loss of epithelial traits during the
epithelial-to-mesenchymal transition in lung cancer. BMC Genomics.
14:6802013. View Article : Google Scholar : PubMed/NCBI
|
41
|
Chen C, Zhang LG, Liu J, Han H, Chen N,
Yao AL, Kang SS, Gao WX, Shen H, Zhang LJ, et al: Bioinformatics
analysis of differentially expressed proteins in prostate cancer
based on proteomics data. Onco Targets Ther. 9:1545–1557. 2016.
View Article : Google Scholar : PubMed/NCBI
|
42
|
Fan BL, Zhu WL, Zou GL, Luo GS, Xu CL and
Zhao WX: Cloning and identification of fibrinogen gamma polypeptide
(FGG) gene differentially expressed in human hepatocellular
carcinoma. Ai Zheng. 23:249–253. 2004.PubMed/NCBI
|
43
|
Bloomston M, Zhou JX, Rosemurgy AS,
Frankel W, Muro-Cacho CA and Yeatman TJ: Fibrinogen gamma
overexpression in pancreatic cancer identified by large-scale
proteomic analysis of serum samples. Cancer Res. 66:2592–2599.
2006. View Article : Google Scholar : PubMed/NCBI
|
44
|
Tang L, Liu K, Wang J, Wang C, Zhao P and
Liu J: High preoperative plasma fibrinogen levels are associated
with distant metastases and impaired prognosis after curative
resection in patients with colorectal cancer. J Surg Oncol.
102:428–432. 2010. View Article : Google Scholar : PubMed/NCBI
|
45
|
Ghezzi F, Cromi A, Siesto G, Giudici S,
Serati M, Formenti G and Franchi M: Prognostic significance of
preoperative plasma fibrinogen in endometrial cancer. Gynecol
Oncol. 119:309–313. 2010. View Article : Google Scholar : PubMed/NCBI
|
46
|
Yano H, Kitayama J, Hatano K, Tsuno N,
Osada T, Watanabe T, Tsuruo T, Muto T and Nagawa H: Clustered
cancer cells show a distinct adhesion behavior from single cell
form under physiological shear conditions. J Exp Clin Cancer Res.
20:407–412. 2001.PubMed/NCBI
|
47
|
Nieswandt B, Hafner M, Echtenacher B and
Mannel DN: Lysis of tumor cells by natural killer cells in mice is
impeded by platelets. Cancer Res. 59:1295–1300. 1999.PubMed/NCBI
|
48
|
Palumbo JS, Kombrinck KW, Drew AF, Grimes
TS, Kiser JH, Degen JL and Bugge TH: Fibrinogen is an important
determinant of the metastatic potential of circulating tumor cells.
Blood. 96:3302–3309. 2000.PubMed/NCBI
|
49
|
Palumbo JS, Potter JM, Kaplan LS, Talmage
K, Jackson DG and Degen JL: Spontaneous hematogenous and lymphatic
metastasis, but not primary tumor growth or angiogenesis, is
diminished in fibrinogen-deficient mice. Cancer Res. 62:6966–6972.
2002.PubMed/NCBI
|
50
|
Yamashita H, Kitayama J, Kanno N, Yatomi Y
and Nagawa H: Hyperfibrinogenemia is associated with lymphatic as
well as hematogenous metastasis and worse clinical outcome in T2
gastric cancer. BMC Cancer. 6:1472006. View Article : Google Scholar : PubMed/NCBI
|
51
|
Davalieva K, Kiprijanovska S, Komina S,
Petrusevska G, Zografska NC and Polenakovic M: Proteomics analysis
of urine reveals acute phase response proteins as candidate
diagnostic biomarkers for prostate cancer. Proteome Sci. 13:22015.
View Article : Google Scholar : PubMed/NCBI
|
52
|
Zhu WL, Fan BL, Liu DL and Zhu WX:
Abnormal expression of fibrinogen gamma (FGG) and plasma level of
fibrinogen in patients with hepatocellular carcinoma. Anticancer
Res. 29:2531–2534. 2009.PubMed/NCBI
|
53
|
Chan KY, Lai PB, Squire JA, Beheshti B,
Wong NL, Sy SM and Wong N: Positional expression profiling
indicates candidate genes in deletion hotspots of hepatocellular
carcinoma. Mod Pathol. 19:1546–1554. 2006. View Article : Google Scholar : PubMed/NCBI
|
54
|
Son HJ, Park JW, Chang HJ, Kim DY, Kim BC,
Kim SY, Park SC, Choi HS and Oh JH: Preoperative plasma
hyperfibrinogenemia is predictive of poor prognosis in patients
with nonmetastatic colon cancer. Ann Surg Oncol. 20:2908–2913.
2013. View Article : Google Scholar : PubMed/NCBI
|
55
|
Fort A, Borel C, Migliavacca E,
Antonarakis SE, Fish RJ and Neerman-Arbez M: Regulation of
fibrinogen production by microRNAs. Blood. 116:2608–2615. 2010.
View Article : Google Scholar : PubMed/NCBI
|