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Targeted microRNA Profiling in Gastric Cancer with Clinical Assessement

Open Access
|Jun 2022

Figures & Tables

Figure 1

Expression changes of miRNAs in cancerous tissues.
Expression changes of miRNAs in cancerous tissues.

Figure 2

Relative expression changes of miRNAs in cancerous and normal tissues (*p <0,05, **p <0,01).
Relative expression changes of miRNAs in cancerous and normal tissues (*p <0,05, **p <0,01).

Figure 3

Hierarchical clustering and heatmap of miRNAs. Hierarchical cluster using “Euclidean” distance and “complete” linkage. (L.N.: Lymph node).
Hierarchical clustering and heatmap of miRNAs. Hierarchical cluster using “Euclidean” distance and “complete” linkage. (L.N.: Lymph node).

Comparison of patient age, metastatic lymph node number and smoking with miRNA expressions_

miRNA IDAge; r ValueAge; p ValueMetastatic Lymph Node; r ValueMetastatic Lymph Node; p ValueSmoking p Value
Hsa-miR-375-3p−0.1600.5120.3500.1350.102
Hsa-miR-148a-3p−0.3200.1960.2900.2400.245
Hsa-miR-196a-5p−0.3300.1590.4300.0560.412
Hsa-miR-376c-3p−0.4200.0630.4100.0750.043a
Hsa-miR-129-5p−0.3200.1730.4700.036a0.150
Hsa-miR-34c-5p−0.3800.1020.5100.020a0.274
Hsa-miR-662−0.4400.049a0.2100.3700.195
Hsa-miR-767-5p−0.3300.1560.4000.0770.344

Statistical comparisons between cancerous and normal tissues in patients with gastric cancer_

miRNA IDAverage Change95% CIp Value
Hsa-miR-375-3p−1.943−3.521/−0.3650.018a
Hsa-miR-148a-3p−0.676−2.085/0.7310.324
Hsa-miR-196a-5p−1.299−2.115/−0.4830.003b
Hsa-miR-376c-3p−1.891−3.160/−0.6230.006b
Hsa-miR-129-5p−0.892−1.726/−0.0590.037a
Hsa-miR-34c-5p−1.482−2.650/−0.3140.016a
Hsa-miR-662−0.922−1.964/0.1180.079
Hsa-miR-767-5p−2.387−3.735/−1.0400.001b

Exchange of miRNA expressions of cancerous and normal tissues of patients (2−ΔΔCt)_

Patient CodeHsa-miR-375-3pHsa-miR-148a-3pHsa-miR-196a-5pHsa-miR-376c-3pHsa-miR-129-5pHsa-miR-34c-5pHsa-miR-662Hsa-miR-767-5p
GCM-013.158−5.3820.803−0.2382.0431.4980.5982.113
GCM-02−1.9581.573−0.613−1.103−0.228−1.213−0.803−3.278
GCM-032.198−1.2481.3480.6311.1730.7231.0831.008
GCM-044.570−2.4950.8105.7251.6703.3402.6803.000
GCM-051.6184.9082.1580.8431.5733.158−0.8580.753
GCM-06−2.393−0.268−0.758−2.853−3.058−3.0784.128−4.633
GCM-07−8.5204.720−0.095−5.420−0.610−1.855−1.255−4.633
GCM-08a−2.368−2.553−0.6530.038−0.4980.618−0.723−1.958
GCM-09−4.745−0.085−1.400−4.415−2.638−1.905−3.125−5.945
GCM-10−7.380−3.240−2.575−4.335−3.155−5.810−4.650−6.015
GCM-11−0.608NA−1.318−1.7630.852−1.723−2.243−1.998
GCM-12−4.353NA−3.178−0.978−2.053−3.633−3.653−3.563
GCM-13−3.673−4.003−3.613−6.353−4.053−5.793−4.688−6.993
GCM-140.503−1.293−1.053−1.048−0.558−0.6080.5430.688
GCM-150.788−1.008−1.208−3.843−0.533−0.678−0.203−0.143
GCM-16−0.30550.520−3.315−3.445−2.595−3.085−0.225−3.815
GCM-17−2.360−1.330−3.095−3.885−2.750−3.020−2.560−2.260
GCM-18−3.005−2.175−1.395−0.920−1.040−0.9850.025−2.495
GCM-19a−2.1683.388−3.003−1.228−0.473−2.388−1.403−3.838
GCM-20−5.110−2.210−3.840−3.250−0.930−3.205−1.125−2.310

Evaluation of the demographic, clinical and pathological features of the 20 patients_

Variablesn; mean ± SD; %

Age (years):64.9±13.8
  <60 years old7; 50.00±8.75; 35.0%
  >60 years old13; 72.92±8.01; 65.0%

Gender:
  females3; 15.0%
  males17; 85.0%

Helicobacater pylori3; 15.0%

Smoking9; 45.0%

PPI/H2RB5; 20.0%

Family history1; 5.0%

Blood group:
  A Rh (+)8; 40.0%
  O Rh (+)5; 25.0%
  B Rh (+)4; 20.0%
  A Rh (−)1; 5.0%
  O Rh (−)1; 5.0%
  AB Rh (+)1; 5.0%

Preoperative:
  CEA (ng/mL)12.94±21.75; normal: 0–5
  CA19-9 (U/mL)122.64±217.83; normal: 0–27
  AFP (ng/mL)2.84±1.60; normal: 0–7

Tumor location
  cardiac10; 50.0%
  non cardiac10; 50.0%

Differentiation:
  poorly differentiated7; 35.0%
  mid differentiated11; 55.0%
  well differentiated2; 10.0%

Borman classification:
  type 19; 45.0%
  type 24; 20.0%
  type 37; 35.0%

pT:
  pT11; 5.0%
  pT20; 0.0%
  pT313; 65.0%
  pT46; 30.0%

pN:
  pN03; 15.0%
  pN14; 20.0%
  pN27; 35.0%
  pN36; 30.0%

Lymphpvascular invasion18; 90.0%

Nerve invasion14; 60.0%

Stage:
  I1; 5.0%
  II5; 25.0%
  III14; 60.0%

miRNAs used in the study and their properties_

miRNA IDAccession Number; SequenceExpressionFunctionRefs.
Hsa-miR-375-3pMIMAT0000728;UUUGUUCGUUCGGCUCGCGUGAdownregulationapoptosis[10,11,12]
Hsa-miR-148a-3pMIMAT0000243;AAAGUUCUGAGACACUCCGACUdownregulationDX; metastasis; invasion; poor prognosis[13]
Hsa-miR-196a-5pMIMAT0000226;AAAGUUCUGAGACACUCCGACUupregulationpoor prognosis; DX[14,15]
Hsa-miR-376c-3pMIMAT0000720;AACAUAGAGGAAAUUCCACGUdownregulation; upregulationapoptosis; cell proliferation16,17]
Hsa-miR-129-5pMIMAT0000242;CUUUUUGCGGUCUGGGCUUGCdownregulationpoor prognosis[18,19]
Hsa-miR-34c-5pMIMAT0000686;AGGCAGUGUAGUUAGCUGAUUGCdownregulationapoptosis; cell-cycle[20]
Hsa-miR-662MIMAT0003325;UCCCACGUUGUGGCCCAGCAGdownregulationunknown[21]
Hsa-miR-767-5pMIMAT0003882;UGCACCAUGGUUGUCUGAGCAUGdownregulationcell proliferation; migration and invasion[22]
Language: English
Page range: 55 - 64
Published on: Jun 5, 2022
Published by: Macedonian Academy of Sciences and Arts
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2022 H Pehlevan Özel, T Dinç, RS Tiryaki, AG Keşküş, Ö Konu, SI Kayilioğlu, F Coşkun, published by Macedonian Academy of Sciences and Arts
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.