|
1
|
Vishwanath A, Krishna S, Manudhane AP,
Hart PA and Krishna SG: Early-onset gastrointestinal malignancies:
An investigation into a rising concern. Cancers (Basel).
16(1553)2024.PubMed/NCBI View Article : Google Scholar
|
|
2
|
López MJ, Carbajal J, Alfaro AL, Saravia
LG, Zanabria D, Araujo JM, Quispe L, Zevallos A, Buleje JL, Cho CE,
et al: Characteristics of gastric cancer around the world. Crit Rev
Oncol Hematol. 181(103841)2023.PubMed/NCBI View Article : Google Scholar
|
|
3
|
Smyth EC, Nilsson M, Grabsch HI, van
Grieken NC and Lordick F: Gastric cancer. Lancet. 396:635–648.
2020.PubMed/NCBI View Article : Google Scholar
|
|
4
|
Boilève J, Touchefeu Y and Matysiak-Budnik
T: Clinical management of gastric cancer treatment regimens. Curr
Top Microbiol Immunol. 444:279–304. 2023.PubMed/NCBI View Article : Google Scholar
|
|
5
|
Li S, Gao J, Xu Q, Zhang X, Huang M, Dai
X, Huang K and Liu L: A signature-based classification of gastric
cancer that stratifies tumor immunity and predicts responses to
PD-1 inhibitors. Front Immunol. 12(693314)2021.PubMed/NCBI View Article : Google Scholar
|
|
6
|
Lordick F, Carneiro F, Cascinu S, Fleitas
T, Haustermans K, Piessen G, Vogel A and Smyth EC: ESMO Guidelines
Committee. Electronic address: clinicalguidelines@esmo.org. Gastric
cancer: ESMO clinical practice guideline for diagnosis, treatment
and follow-up. Ann Oncol. 33:1005–1020. 2022.PubMed/NCBI View Article : Google Scholar
|
|
7
|
Kang YK, Boku N, Satoh T, Ryu MH, Chao Y,
Kato K, Chung HC, Chen JS, Muro K, Kang WK, et al: Nivolumab in
patients with advanced gastric or gastro-oesophageal junction
cancer refractory to, or intolerant of, at least two previous
chemotherapy regimens (ONO-4538-12, ATTRACTION-2): A randomised,
double-blind, placebo-controlled, phase 3 trial. Lancet.
390:2461–2471. 2017.PubMed/NCBI View Article : Google Scholar
|
|
8
|
Yasuda T and Wang YA: Gastric cancer
immunosuppressive microenvironment heterogeneity: Implications for
therapy development. Trends Cancer. 10:627–642. 2024.PubMed/NCBI View Article : Google Scholar
|
|
9
|
Kim R, An M, Lee H, Mehta A, Heo YJ, Kim
KM, Lee SY, Moon J, Kim ST, Min BH, et al: Early tumor-immune
microenvironmental remodeling and response to first-line
fluoropyrimidine and platinum chemotherapy in advanced gastric
cancer. Cancer Discov. 12:984–1001. 2022.PubMed/NCBI View Article : Google Scholar
|
|
10
|
Calviño FR, Kornprobst M, Schermann G,
Birkle F, Wild K, Fischer T, Hurt E, Ahmed YL and Sinning I:
Structural basis for 5'-ETS recognition by Utp4 at the early stages
of ribosome biogenesis. PLoS One. 12(e0178752)2017.PubMed/NCBI View Article : Google Scholar
|
|
11
|
Wang C, Ma H, Baserga SJ, Pederson T and
Huang S: Nucleolar structure connects with global nuclear
organization. Mol Biol Cell. 34(ar114)2023.PubMed/NCBI View Article : Google Scholar
|
|
12
|
Freed EF and Baserga SJ: The C-terminus of
Utp4, mutated in childhood cirrhosis, is essential for ribosome
biogenesis. Nucleic Acids Res. 38:4798–4806. 2010.PubMed/NCBI View Article : Google Scholar
|
|
13
|
Wilkins BJ, Lorent K, Matthews RP and Pack
M: p53-mediated biliary defects caused by knockdown of cirh1a, the
zebrafish homolog of the gene responsible for North American Indian
childhood cirrhosis. PLoS One. 8(e77670)2013.PubMed/NCBI View Article : Google Scholar
|
|
14
|
Guo F, Chen JJ and Tang WJ: CIRH1A
augments the proliferation of RKO colorectal cancer cells. Oncol
Rep. 37:2375–2381. 2017.PubMed/NCBI View Article : Google Scholar
|
|
15
|
Gahoi N, Syed P, Choudhary S, Epari S,
Moiyadi A, Varma SG, Gandhi MN and Srivastava S: A protein
microarray-based investigation of cerebrospinal fluid reveals
distinct autoantibody signature in low and high-grade gliomas.
Front Oncol. 10(543947)2020.PubMed/NCBI View Article : Google Scholar
|
|
16
|
Hanley JA and McNeil BJ: The meaning and
use of the area under a receiver operating characteristic (ROC)
curve. Radiology. 143:29–36. 1982.PubMed/NCBI View Article : Google Scholar
|
|
17
|
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:D607–D613.
2019.PubMed/NCBI View Article : Google Scholar
|
|
18
|
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
|
|
19
|
Hänzelmann S, Castelo R and Guinney J:
GSVA: Gene set variation analysis for microarray and RNA-seq data.
BMC Bioinformatics. 14(7)2013.PubMed/NCBI View Article : Google Scholar
|
|
20
|
Giambartolomei C, Vukcevic D, Schadt EE,
Franke L, Hingorani AD, Wallace C and Plagnol V: Bayesian test for
colocalisation between pairs of genetic association studies using
summary statistics. PLoS Genet. 10(e1004383)2014.PubMed/NCBI View Article : Google Scholar
|
|
21
|
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
|
|
22
|
Longo SK, Guo MG, Ji AL and Khavari PA:
Integrating single-cell and spatial transcriptomics to elucidate
intercellular tissue dynamics. Nat Rev Genet. 22:627–644.
2021.PubMed/NCBI View Article : Google Scholar
|
|
23
|
Rodriques SG, Stickels RR, Goeva A, Martin
CA, Murray E, Vanderburg CR, Welch J, Chen LM, Chen F and Macosko
EZ: Slide-seq: A scalable technology for measuring genome-wide
expression at high spatial resolution. Science. 363:1463–1467.
2019.PubMed/NCBI View Article : Google Scholar
|
|
24
|
Ståhl PL, Salmén F, Vickovic S, Lundmark
A, Navarro JF, Magnusson J, Giacomello S, Asp M, Westholm JO, Huss
M, et al: Visualization and analysis of gene expression in tissue
sections by spatial transcriptomics. Science. 353:78–82.
2016.PubMed/NCBI View Article : Google Scholar
|
|
25
|
Brookes AJ: The essence of SNPs. Gene.
234:177–186. 1999.PubMed/NCBI View Article : Google Scholar
|
|
26
|
Vignal A, Milan D, SanCristobal M and
Eggen A: A review on SNP and other types of molecular markers and
their use in animal genetics. Genet Sel Evol. 34:275–305.
2002.PubMed/NCBI View Article : Google Scholar
|
|
27
|
Reya T, Morrison SJ, Clarke MF and
Weissman IL: Stem cells, cancer, and cancer stem cells. Nature.
414:105–111. 2001.PubMed/NCBI View Article : Google Scholar
|
|
28
|
Clevers H: The cancer stem cell: Premises,
promises and challenges. Nat Med. 17:313–319. 2011.PubMed/NCBI View Article : Google Scholar
|
|
29
|
O'Brien CA, Kreso A and Jamieson CH:
Cancer stem cells and self-renewal. Clin Cancer Res. 16:3113–3120.
2010.PubMed/NCBI View Article : Google Scholar
|
|
30
|
Klinge S and Woolford JL Jr: Ribosome
assembly coming into focus. Nat Rev Mol Cell Biol. 20:116–131.
2019.PubMed/NCBI View Article : Google Scholar
|
|
31
|
Henras AK, Plisson-Chastang C, O'Donohue
MF, Chakraborty A and Gleizes PE: An overview of pre-ribosomal RNA
processing in eukaryotes. Wiley Interdiscip Rev RNA. 6:225–242.
2015.PubMed/NCBI View Article : Google Scholar
|
|
32
|
Anderson P and Kedersha N: RNA granules:
Post-transcriptional and epigenetic modulators of gene expression.
Nat Rev Mol Cell Biol. 10:430–436. 2009.PubMed/NCBI View Article : Google Scholar
|
|
33
|
Beesley J, Sivakumaran H, Moradi Marjaneh
M, Shi W, Hillman KM, Kaufmann S, Hussein N, Kar S, Lima LG, Ham S,
et al: eQTL colocalization analyses identify NTN4 as a candidate
breast cancer risk gene. Am J Hum Genet. 107:778–787.
2020.PubMed/NCBI View Article : Google Scholar
|
|
34
|
Meyers RM, Bryan JG, McFarland JM, Weir
BA, Sizemore AE, Xu H, Dharia NV, Montgomery PG, Cowley GS, Pantel
S, et al: Computational correction of copy number effect improves
specificity of CRISPR-Cas9 essentiality screens in cancer cells.
Nat Genet. 49:1779–1784. 2017.PubMed/NCBI View Article : Google Scholar
|
|
35
|
Pecoraro A, Pagano M, Russo G and Russo A:
Ribosome biogenesis and cancer: Overview on ribosomal proteins. Int
J Mol Sci. 22(5496)2021.PubMed/NCBI View Article : Google Scholar
|
|
36
|
Xu X, Xiong X and Sun Y: The role of
ribosomal proteins in the regulation of cell proliferation,
tumorigenesis, and genomic integrity. Sci China Life Sci.
59:656–672. 2016.PubMed/NCBI View Article : Google Scholar
|
|
37
|
Elhamamsy AR, Metge BJ, Alsheikh HA,
Shevde LA and Samant RS: Ribosome biogenesis: A central player in
cancer metastasis and therapeutic resistance. Cancer Res.
82:2344–2353. 2022.PubMed/NCBI View Article : Google Scholar
|
|
38
|
Jiao L, Liu Y, Yu XY, Pan X, Zhang Y, Tu
J, Song YH and Li Y: Ribosome biogenesis in disease: New players
and therapeutic targets. Signal Transduct Target Ther.
8(15)2023.PubMed/NCBI View Article : Google Scholar
|
|
39
|
Pelletier J, Thomas G and Volarević S:
Ribosome biogenesis in cancer: New players and therapeutic avenues.
Nat Rev Cancer. 18:51–63. 2018.PubMed/NCBI View Article : Google Scholar
|
|
40
|
Bywater MJ, Poortinga G, Sanij E, Hein N,
Peck A, Cullinane C, Wall M, Cluse L, Drygin D, Anderes K, et al:
Inhibition of RNA polymerase I as a therapeutic strategy to promote
cancer-specific activation of p53. Cancer Cell. 22:51–65.
2012.PubMed/NCBI View Article : Google Scholar
|
|
41
|
Kato Y, Kunimasa K, Takahashi M, Harada A,
Nagasawa I, Osawa M, Sugimoto Y and Tomida A: GZD824 inhibits GCN2
and sensitizes cancer cells to amino acid starvation stress. Mol
Pharmacol. 98:669–676. 2020.PubMed/NCBI View Article : Google Scholar
|
|
42
|
Freed EF, Prieto JL, McCann KL, McStay B
and Baserga SJ: NOL11, implicated in the pathogenesis of North
American Indian childhood cirrhosis, is required for pre-rRNA
transcription and processing. PLoS Genet.
8(e1002892)2012.PubMed/NCBI View Article : Google Scholar
|
|
43
|
Memczak S, Jens M, Elefsinioti A, Torti F,
Krueger J, Rybak A, Maier L, Mackowiak SD, Gregersen LH, Munschauer
M, et al: Circular RNAs are a large class of animal RNAs with
regulatory potency. Nature. 495:333–338. 2013.PubMed/NCBI View Article : Google Scholar
|
|
44
|
Hansen TB, Jensen TI, Clausen BH, Bramsen
JB, Finsen B, Damgaard CK and Kjems J: Natural RNA circles function
as efficient microRNA sponges. Nature. 495:384–388. 2013.PubMed/NCBI View Article : Google Scholar
|
|
45
|
Hollensen AK, Andersen S, Hjorth K, Bak
RO, Hansen TB, Kjems J, Aagaard L, Damgaard CK and Mikkelsen JG:
Enhanced tailored MicroRNA sponge activity of RNA Pol
II-transcribed TuD hairpins relative to ectopically expressed
ciRS7-derived circRNAs. Mol Ther Nucleic Acids. 13:365–375.
2018.PubMed/NCBI View Article : Google Scholar
|
|
46
|
Zhang M, Wang X, Zhao J, Yan J, He X, Qin
D, Liang F, Tong K and Wang J: CircRNA-CIRH1A promotes the
development of osteosarcoma by regulating PI3K/AKT and JAK2/STAT3
signaling pathways. Mol Biotechnol. 66:2241–2253. 2024.PubMed/NCBI View Article : Google Scholar
|
|
47
|
Bakhti SZ, Latifi-Navid S, Pahlevan AD,
Sarabi L and Safaralizadeh R: The role of circular RNAs in gastric
cancer: Focusing on autophagy, EMT, and their crosstalk. Biochem
Biophys Rep. 48(102169)2025.PubMed/NCBI View Article : Google Scholar
|
|
48
|
Slominski RM, Raman C, Chen JY and
Slominski AT: How cancer hijacks the body's homeostasis through the
neuroendocrine system. Trends Neurosci. 46:263–275. 2023.PubMed/NCBI View Article : Google Scholar
|
