Review
Copyright ©The Author(s) 2023.
World J Gastroenterol. May 7, 2023; 29(17): 2515-2533
Published online May 7, 2023. doi: 10.3748/wjg.v29.i17.2515
Table 1 Overview of non-coding RNAs for early detection of GC in the past 5 years
Circulating biomarkers
Alterations
Patients
Controls (normal)
Sample
Methods
Sensitivity (%)
Specificity (%)
AUC
Ref.
miRNA
miR-25Upregulated6565PlasmaqRT-PCR87.676.90.817[102]
miR-214Downregulated16874PlasmaqRT-PCR73.291.90.880[103]
miR-376cUpregulated4767PlasmaqRT-PCR71.078.00.77[104]
miR-381Downregulated4040SerumqRT-PCR83.697.50.931[105]
miR-200cUpregulated200250Tissue and bloodMicoarrayand qRT-PCR74.066.00.75[106]
miR-551b-5pDownregulated4040SerumqRT-PCR77.580.00.84[107]
Combination of miR-21, miR-93, miR-106a, and miR-196bUpregulated1117PlasmaqRT-PCR84.879.20.887[108]
Combination of miR-16, miR-25, miR-92a, miR-451 and miR-486-5pUpregulated4040PlasmaqRT-PCR72.989.20.812[109]
Combination of miR-4257, miR-6785-5p, miR-187-5p and miR-5739Upregulated14171417Serummicroarray analysis0.996 (index)0.953 (index)0998[23]
Combination of miR-18a, miR-181b, and miR-335Upregulated176173SerumqRT-PCR71.687.90.86[95]
Combination of miR-425-5p, miR-1180-3p. miR-122-5p, miR-24-3p and miR-4632-5pDownregulated3090PlasmaqRT-PCRNANA0829[21]
Combination of miRNA-3185, miRNA-6083, miRNA-6792-3p, and miRNA-659-3pUpregulated5230PlasmaqRT-PCRNANA0.825[110]
Combination of miRNA-936, miRNA-1306-3pDownregulated5230PlasmaqRT-PCRNANA0.730[110]
Long non-coding RNAs
ZNFX1-AS1Upregulated5050PlasmaqRT-PCR84680.85[26]
LINC00978Upregulated3831SerumqRT-PCR80700.831[111]
CTC-501O10.1Upregulated100100PlasmaqRT-PCR90510.74[112]
AC100830.4Upregulated100100PlasmaqRT-PCR84580.73[112]
RP11-210K20.5Upregulated100100PlasmaqRT-PCR89550.737[112]
CTC-497E21.4Upregulated11084SerumqRT-PCR81.875.00.896[113]
SNHG17Upregulated6767PlasmaqRT-PCRNANA0.748[114]
ARHGAP27P1Downregulated5353PlasmaqRT-PCR75,560.40.732[115]
PANDARUpregulated109106PlasmaqRT-PCRNANA0.767[27]
FOXD2-AS1Upregulated109106PlasmaqRT-PCRNANA0.700[27]
SMARCC2Upregulated109106PlasmaqRT-PCRNANA0.748[27]
LINC00086Downregulated16874PlasmaqRT-PCR72.683.80.86[103]
B3GALT5-AS1Upregulated10787SerumqRT-PCR87.474.70.816[28]
C5orF66-AS1Downregulated200278SerumqRT-PCR77.553.60.668[29]
HCP5Upregulated9882SerumqRT-PCR80700.818[30]
Combined of lnc-MB21D1-3:5, lnc-PSCA-4:2 and lnc-ABCC5-2:1Upregulated5230PlasmaqRT-PCRNANA0904[110]
circular RNAs
has_circ_0000745Downregulated6060PlasmaqRT-PCR85.545,00.683[33]
circPTPN22Upregulated120104PlasmaqRT-PCR78.084.00.857[35]
hsa_circ_0001789Downregulated2424PlasmaqRT-PCR84.050.00.82[34]
8-circRNA biomarker panelUpregulated9246SerumqRT-PCR78.378.30.87[36]
Table 2 Overview of exosome associated with early detection of gastric cancer
Marker
Alterations
Patients
Controls (normal)
Sample
Methods
Sensitivity (%)
Specificity (%)
AUC
Ref.
miRNA
miR-590-5p Downregulated16850SerumqRT-PCR63.786.00.810[44]
miR-92a-3pDownregulated131122SerumqRT-PCRNANA0.829[116]
Combination of miR-92b-3p, let-7g-5p, miR-146b-5p, and miR-9-5pUpregulated3612SerumqRT-PCR60840.773[43]
LncRNA
HOTTIPUpregulated126120SerumqRT-PCR69.885.00.827[117]
UEGC1Upregulated5160PlasmaqRT-PCRNANA0.876[39]
Pcsk2-2:1Upregulated6329SerumqRT-PCR8486.50.896[40]
GNAQ-6:1Downregulated4327SerumqRT-PCR83.755.60.736[41]
RNA-GC1Upregulated522219SerumqRT-PCR88.282.30.90[42]
piRNAs
piR-019308Upregulated7060SerumqRT-PCR57.1491.670.820[47]
piR-004918Upregulated7060SerumqRT-PCR42.8695.00.754
piR-018569Upregulated7060SerumqRT-PCR44.2996.670.732
Table 3 Clinical trials of blood-based biofluid biomarkers for gastric cancer detection
Clinical trials
Type of trial
Phase
Results
Participants (estimated)
Assay
Comments
ctDNA
NCT05027347CohortNARecruiting200Ultradeep massive parallel sequencing assayDevelopment of a protocol for detection of ctDNA in plasma of patients with early stages of GC
NCT04511559CohortNANot yet recruiting540ctDNA methylation sequencingThe correlation between the plasma ctDNA methylation status and the diagnosis of patients with early GC
NCT05208372Case-controlNARecruiting200CTC and ctDNA testInvestigation of the value of CTCs and ctDNA in the diagnosis of metastasis of GC in peritoneal flushing fluid and blood
NCT04665687CohortNARecruiting1730Illumina HiSeq2000/2500-based, MiSeq NGS targeted sequencingIdentification whether tumor’s molecular profiling based on blood could be used for diagnosis of EGC and precancerous gastric adenoma
NCT05029869CohortNARecruiting100NGS technologiesStudy aims to evaluate the use of NGS to detect ctDNA in GC patients after gastrectomy
NCT05224596Case-controlNARecruiting498Blood draw and blood-based biomarkers analysesMulti-omics 498 study aimed at detecting GC by combined assays for serum protein markers, deep sequencing of cfDNA, ctDNA mutation and RNA
miRNAs
NCT04329299CohortNACompleted6862Blood-based biomarkers analysesValidation of the predictive value of various blood biomarkers, such as miRNA
lncRNAs
NCT05397548CohortNARecruiting700RT-PCRStudy to investigate the predictive value of circulating exosomal lncRNA-GC1 for early-detection and monitoring progression of GC
Methylation
NCT04511559CohortNANot yet recruiting540ctDNA methylation sequencingMethylation analysis of ct DNA in early diagnosis in patients with GC
NCT03076567ObservationalNACompleted440NADiscovery and validation of plasma DNA methylation biomarker for detection of GC
NCT05336058CohortNARecruiting1240Multi-target PCRExploration of the clinical performance of polygene methylation in the adjunctive diagnosis of GC
NCT04253106Non-randomizedNARecruiting10NGSActivating methylation profiles identified by liquid biopsies could identify CDH1 and CTNNA1 pathogenic variants carriers with DGC
Multi-omics
NCT04947995Case-controlNARecruiting450ctDNA multi-omics testExploration of a blood-based multi-omics assay and computational model for early detection of GC
NCT05347524ObservationalNARecruiting384Blood draw and blood-based biomarkers analysesDetection of peritoneal metastasis of GC by combined assays for methylation of cfDNA and other blood-based biomarkers