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©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
Published online May 7, 2023. doi: 10.3748/wjg.v29.i17.2515
Circulating biomarkers | Alterations | Patients | Controls (normal) | Sample | Methods | Sensitivity (%) | Specificity (%) | AUC | Ref. |
miRNA | |||||||||
miR-25 | Upregulated | 65 | 65 | Plasma | qRT-PCR | 87.6 | 76.9 | 0.817 | [102] |
miR-214 | Downregulated | 168 | 74 | Plasma | qRT-PCR | 73.2 | 91.9 | 0.880 | [103] |
miR-376c | Upregulated | 47 | 67 | Plasma | qRT-PCR | 71.0 | 78.0 | 0.77 | [104] |
miR-381 | Downregulated | 40 | 40 | Serum | qRT-PCR | 83.6 | 97.5 | 0.931 | [105] |
miR-200c | Upregulated | 200 | 250 | Tissue and blood | Micoarrayand qRT-PCR | 74.0 | 66.0 | 0.75 | [106] |
miR-551b-5p | Downregulated | 40 | 40 | Serum | qRT-PCR | 77.5 | 80.0 | 0.84 | [107] |
Combination of miR-21, miR-93, miR-106a, and miR-196b | Upregulated | 11 | 17 | Plasma | qRT-PCR | 84.8 | 79.2 | 0.887 | [108] |
Combination of miR-16, miR-25, miR-92a, miR-451 and miR-486-5p | Upregulated | 40 | 40 | Plasma | qRT-PCR | 72.9 | 89.2 | 0.812 | [109] |
Combination of miR-4257, miR-6785-5p, miR-187-5p and miR-5739 | Upregulated | 1417 | 1417 | Serum | microarray analysis | 0.996 (index) | 0.953 (index) | 0998 | [23] |
Combination of miR-18a, miR-181b, and miR-335 | Upregulated | 176 | 173 | Serum | qRT-PCR | 71.6 | 87.9 | 0.86 | [95] |
Combination of miR-425-5p, miR-1180-3p. miR-122-5p, miR-24-3p and miR-4632-5p | Downregulated | 30 | 90 | Plasma | qRT-PCR | NA | NA | 0829 | [21] |
Combination of miRNA-3185, miRNA-6083, miRNA-6792-3p, and miRNA-659-3p | Upregulated | 52 | 30 | Plasma | qRT-PCR | NA | NA | 0.825 | [110] |
Combination of miRNA-936, miRNA-1306-3p | Downregulated | 52 | 30 | Plasma | qRT-PCR | NA | NA | 0.730 | [110] |
Long non-coding RNAs | |||||||||
ZNFX1-AS1 | Upregulated | 50 | 50 | Plasma | qRT-PCR | 84 | 68 | 0.85 | [26] |
LINC00978 | Upregulated | 38 | 31 | Serum | qRT-PCR | 80 | 70 | 0.831 | [111] |
CTC-501O10.1 | Upregulated | 100 | 100 | Plasma | qRT-PCR | 90 | 51 | 0.74 | [112] |
AC100830.4 | Upregulated | 100 | 100 | Plasma | qRT-PCR | 84 | 58 | 0.73 | [112] |
RP11-210K20.5 | Upregulated | 100 | 100 | Plasma | qRT-PCR | 89 | 55 | 0.737 | [112] |
CTC-497E21.4 | Upregulated | 110 | 84 | Serum | qRT-PCR | 81.8 | 75.0 | 0.896 | [113] |
SNHG17 | Upregulated | 67 | 67 | Plasma | qRT-PCR | NA | NA | 0.748 | [114] |
ARHGAP27P1 | Downregulated | 53 | 53 | Plasma | qRT-PCR | 75,5 | 60.4 | 0.732 | [115] |
PANDAR | Upregulated | 109 | 106 | Plasma | qRT-PCR | NA | NA | 0.767 | [27] |
FOXD2-AS1 | Upregulated | 109 | 106 | Plasma | qRT-PCR | NA | NA | 0.700 | [27] |
SMARCC2 | Upregulated | 109 | 106 | Plasma | qRT-PCR | NA | NA | 0.748 | [27] |
LINC00086 | Downregulated | 168 | 74 | Plasma | qRT-PCR | 72.6 | 83.8 | 0.86 | [103] |
B3GALT5-AS1 | Upregulated | 107 | 87 | Serum | qRT-PCR | 87.4 | 74.7 | 0.816 | [28] |
C5orF66-AS1 | Downregulated | 200 | 278 | Serum | qRT-PCR | 77.5 | 53.6 | 0.668 | [29] |
HCP5 | Upregulated | 98 | 82 | Serum | qRT-PCR | 80 | 70 | 0.818 | [30] |
Combined of lnc-MB21D1-3:5, lnc-PSCA-4:2 and lnc-ABCC5-2:1 | Upregulated | 52 | 30 | Plasma | qRT-PCR | NA | NA | 0904 | [110] |
circular RNAs | |||||||||
has_circ_0000745 | Downregulated | 60 | 60 | Plasma | qRT-PCR | 85.5 | 45,0 | 0.683 | [33] |
circPTPN22 | Upregulated | 120 | 104 | Plasma | qRT-PCR | 78.0 | 84.0 | 0.857 | [35] |
hsa_circ_0001789 | Downregulated | 24 | 24 | Plasma | qRT-PCR | 84.0 | 50.0 | 0.82 | [34] |
8-circRNA biomarker panel | Upregulated | 92 | 46 | Serum | qRT-PCR | 78.3 | 78.3 | 0.87 | [36] |
Marker | Alterations | Patients | Controls (normal) | Sample | Methods | Sensitivity (%) | Specificity (%) | AUC | Ref. |
miRNA | |||||||||
miR-590-5p | Downregulated | 168 | 50 | Serum | qRT-PCR | 63.7 | 86.0 | 0.810 | [44] |
miR-92a-3p | Downregulated | 131 | 122 | Serum | qRT-PCR | NA | NA | 0.829 | [116] |
Combination of miR-92b-3p, let-7g-5p, miR-146b-5p, and miR-9-5p | Upregulated | 36 | 12 | Serum | qRT-PCR | 60 | 84 | 0.773 | [43] |
LncRNA | |||||||||
HOTTIP | Upregulated | 126 | 120 | Serum | qRT-PCR | 69.8 | 85.0 | 0.827 | [117] |
UEGC1 | Upregulated | 51 | 60 | Plasma | qRT-PCR | NA | NA | 0.876 | [39] |
Pcsk2-2:1 | Upregulated | 63 | 29 | Serum | qRT-PCR | 84 | 86.5 | 0.896 | [40] |
GNAQ-6:1 | Downregulated | 43 | 27 | Serum | qRT-PCR | 83.7 | 55.6 | 0.736 | [41] |
RNA-GC1 | Upregulated | 522 | 219 | Serum | qRT-PCR | 88.2 | 82.3 | 0.90 | [42] |
piRNAs | |||||||||
piR-019308 | Upregulated | 70 | 60 | Serum | qRT-PCR | 57.14 | 91.67 | 0.820 | [47] |
piR-004918 | Upregulated | 70 | 60 | Serum | qRT-PCR | 42.86 | 95.0 | 0.754 | |
piR-018569 | Upregulated | 70 | 60 | Serum | qRT-PCR | 44.29 | 96.67 | 0.732 |
Clinical trials | Type of trial | Phase | Results | Participants (estimated) | Assay | Comments |
ctDNA | ||||||
NCT05027347 | Cohort | NA | Recruiting | 200 | Ultradeep massive parallel sequencing assay | Development of a protocol for detection of ctDNA in plasma of patients with early stages of GC |
NCT04511559 | Cohort | NA | Not yet recruiting | 540 | ctDNA methylation sequencing | The correlation between the plasma ctDNA methylation status and the diagnosis of patients with early GC |
NCT05208372 | Case-control | NA | Recruiting | 200 | CTC and ctDNA test | Investigation of the value of CTCs and ctDNA in the diagnosis of metastasis of GC in peritoneal flushing fluid and blood |
NCT04665687 | Cohort | NA | Recruiting | 1730 | Illumina HiSeq2000/2500-based, MiSeq NGS targeted sequencing | Identification whether tumor’s molecular profiling based on blood could be used for diagnosis of EGC and precancerous gastric adenoma |
NCT05029869 | Cohort | NA | Recruiting | 100 | NGS technologies | Study aims to evaluate the use of NGS to detect ctDNA in GC patients after gastrectomy |
NCT05224596 | Case-control | NA | Recruiting | 498 | Blood draw and blood-based biomarkers analyses | Multi-omics 498 study aimed at detecting GC by combined assays for serum protein markers, deep sequencing of cfDNA, ctDNA mutation and RNA |
miRNAs | ||||||
NCT04329299 | Cohort | NA | Completed | 6862 | Blood-based biomarkers analyses | Validation of the predictive value of various blood biomarkers, such as miRNA |
lncRNAs | ||||||
NCT05397548 | Cohort | NA | Recruiting | 700 | RT-PCR | Study to investigate the predictive value of circulating exosomal lncRNA-GC1 for early-detection and monitoring progression of GC |
Methylation | ||||||
NCT04511559 | Cohort | NA | Not yet recruiting | 540 | ctDNA methylation sequencing | Methylation analysis of ct DNA in early diagnosis in patients with GC |
NCT03076567 | Observational | NA | Completed | 440 | NA | Discovery and validation of plasma DNA methylation biomarker for detection of GC |
NCT05336058 | Cohort | NA | Recruiting | 1240 | Multi-target PCR | Exploration of the clinical performance of polygene methylation in the adjunctive diagnosis of GC |
NCT04253106 | Non-randomized | NA | Recruiting | 10 | NGS | Activating methylation profiles identified by liquid biopsies could identify CDH1 and CTNNA1 pathogenic variants carriers with DGC |
Multi-omics | ||||||
NCT04947995 | Case-control | NA | Recruiting | 450 | ctDNA multi-omics test | Exploration of a blood-based multi-omics assay and computational model for early detection of GC |
NCT05347524 | Observational | NA | Recruiting | 384 | Blood draw and blood-based biomarkers analyses | Detection of peritoneal metastasis of GC by combined assays for methylation of cfDNA and other blood-based biomarkers |
- Citation: Matsuoka T, Yashiro M. Novel biomarkers for early detection of gastric cancer. World J Gastroenterol 2023; 29(17): 2515-2533
- URL: https://www.wjgnet.com/1007-9327/full/v29/i17/2515.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i17.2515