{"id":426,"date":"2021-06-07T11:51:02","date_gmt":"2021-06-07T08:51:02","guid":{"rendered":"https:\/\/www.epigendx.online\/?p=426"},"modified":"2021-10-18T14:20:05","modified_gmt":"2021-10-18T11:20:05","slug":"snp3","status":"publish","type":"post","link":"https:\/\/www.epigendx.online\/en\/2021\/snp3\/","title":{"rendered":"Determination of the risk of breast and stomach cancer by identifying variants of the 5mC\/T polymorphism in the intron of the KIF26B gene at position xp1: 245618129"},"content":{"rendered":"

[vc_row css=”.vc_custom_1576496196814{background-color: #ededed !important;}”][vc_column width=”2\/3″][vc_column_text]A.G. Akishev1*<\/sup>, N.A.Netesova2<\/sup>, M.A. Abdurashitov1<\/sup>, I.V. Vihlyanov3<\/sup>, M.K. Nikitin3<\/sup>, A.B. Karpov4<\/sup>,\u00a0<\/strong>S.Kh. Degtyarev<\/a>1<\/sup><\/strong><\/p>\n

1\u00a0<\/sup>SibEnzyme, Novosibirsk
\n2\u00a0<\/sup>Epigenlab, Novosibirsk
\n3<\/sup>Altai Regional Oncology Center, 656049, Altai region, Barnaul
\n4<\/sup>Seversk Biophysical Research Centre, Seversk, Tomsk region<\/p>\n

* corresponding author: Alexander Akishev, SibEnzyme, 2\/12 Ak.Timakov Str., Novosibirsk 630117, Russia; Tel: +7 383 3334991; Fax: +7 383 3336853; E-mail:\u00a0aki@sibenzyme.ru<\/a><\/p>\n

We used GlaI\/FatI-PCR assay for determination of 5mC\/T polymorphism frequencies at position xp1: 245618129 (according to the GRCh38.p13 genomic assembly) in DNA preparations isolated from blood cells of 51 breast cancer (BC) patients and 63 gastric cancer patients (GC). The data obtained were compared with those previously obtained for 92 healthy blood donors.
\nIt was shown that the cytosine in this position is predominantly is methylated in all DNA samples. The incidence of a diploid C\/C set in this position in patients with breast cancer and gastric cancer is 9.8% and 7.94%, respectively. This is significantly different from the incidence of C homozygotes in healthy women (26.09%) and healthy donors of both sexes (22.83%). At the same time, the incidence of C\/T heterozygotes and T\/T homozygotes in patients with gastric cancer and breast cancer exceeds similar indicators for control groups of healthy people by 5.5-10.7%. Thus, the substitution of a methylated cytosine base for a thymine base at position xp1: 245618129 may be an unfavorable sign indicating a genetic predisposition to two types of oncological diseases.[\/vc_column_text][\/vc_column][vc_column width=”1\/3″][vc_column_text]Keywords:<\/strong> single nucleotide polymorphism 5mC\/T,\u00a0 human blood DNA, GlaI-PCR assay, FatI-PCR assay, breast cancer, gastric cancer<\/p>\n

DOI:<\/strong> 10.26213\/SE.2019.78.40307<\/a><\/p>\n

Citation:<\/strong><\/p>\n

Akishev A.G., Netesova N.A., Abdurashitov M.A., Vihlyanov I.V., Nikitin M.K., Karpov A.B., Degtyarev S.Kh. (2021) Determination of the risk of breast and stomach cancer by identifying variants of the 5mC\/T polymorphism in the intron of the KIF26B gene at position xp1: 245618129, Epigenet DNA diagnx, vol.2021(1), DOI: 10.26213\/SE.2019.78.40307<\/a><\/p>\n

This work is available at\u00a0Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International<\/a><\/p>\n

Full-text-pdf<\/p>\n

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This article is available only on Russian<\/h1>\n

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Table 1. PCR assay data for women with diagnosed breast cancer<\/h4>\n

Cq values for the cases of hydrolysis of GGCC site (HaeIII), CATG site (Fat-PCR assay) and\u00a0 A(5mC)GC site (GlaI-PCR assay) and difference between Cq values of last two reactions with the first one (\u0394Cq_T = \u0394Cq_CATG – \u0394Cq_GGCC and\u00a0 \u0394Cq_5mC = \u0394Cq_A(5mC)GC – \u0394Cq_GGCC).<\/p>\n

[\/vc_column_text][vc_column_text]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Samle<\/b><\/p>\n<\/td>\n

\n

Age<\/b><\/p>\n<\/td>\n

\n

I<\/b><\/p>\n

Cq_GGCC<\/b><\/p>\n<\/td>\n

\n

II<\/b><\/p>\n

Cq_CATG<\/b><\/p>\n<\/td>\n

\n

III<\/b><\/p>\n

Cq_A(5mC)GC<\/b><\/p>\n<\/td>\n

\n

\u0394Cq_T<\/b><\/p>\n

(II – I)<\/b><\/p>\n<\/td>\n

\n

\u0394Cq_5mC<\/b><\/p>\n

(III-I)<\/b><\/p>\n<\/td>\n<\/tr>\n

\n

BC57<\/b><\/p>\n<\/td>\n

\n

54<\/p>\n<\/td>\n

\n

21.82\u00b10.061<\/p>\n<\/td>\n

\n

22.57\u00b10.208<\/p>\n<\/td>\n

\n

22.6\u00b10.03<\/p>\n<\/td>\n

\n

0.78<\/p>\n<\/td>\n

\n

0.75<\/p>\n<\/td>\n<\/tr>\n

\n

BC58<\/b><\/p>\n<\/td>\n

\n

59<\/p>\n<\/td>\n

\n

21.79\u00b10.153<\/p>\n<\/td>\n

\n

21.77\u00b10.149<\/p>\n<\/td>\n

\n

29.35\u00b10.578<\/p>\n<\/td>\n

\n

7.56<\/p>\n<\/td>\n

\n

-0.02<\/p>\n<\/td>\n<\/tr>\n

\n

BC59<\/b><\/p>\n<\/td>\n

\n

62<\/p>\n<\/td>\n

\n

22.16\u00b10.055<\/p>\n<\/td>\n

\n

25.34\u00b10.094<\/p>\n<\/td>\n

\n

22.12\u00b10.084<\/p>\n<\/td>\n

\n

-0.04<\/p>\n<\/td>\n

\n

3.18<\/p>\n<\/td>\n<\/tr>\n

\n

BC60<\/b><\/p>\n<\/td>\n

\n

60<\/p>\n<\/td>\n

\n

23.22\u00b10.093<\/p>\n<\/td>\n

\n

23.39\u00b10.228<\/p>\n<\/td>\n

\n

28.98\u00b10.139<\/p>\n<\/td>\n

\n

5.76<\/p>\n<\/td>\n

\n

0.17<\/p>\n<\/td>\n<\/tr>\n

\n

BC67<\/b><\/p>\n<\/td>\n

\n

36<\/p>\n<\/td>\n

\n

21.56\u00b10.158<\/p>\n<\/td>\n

\n

22.33\u00b10.205<\/p>\n<\/td>\n

\n

22.34\u00b10.094<\/p>\n<\/td>\n

\n

0.78<\/p>\n<\/td>\n

\n

0.77<\/p>\n<\/td>\n<\/tr>\n

\n

BC72<\/b><\/p>\n<\/td>\n

\n

65<\/p>\n<\/td>\n

\n

22.41\u00b10.134<\/p>\n<\/td>\n

\n

23.22\u00b10.173<\/p>\n<\/td>\n

\n

23.39\u00b10.204<\/p>\n<\/td>\n

\n

0.98<\/p>\n<\/td>\n

\n

0.81<\/p>\n<\/td>\n<\/tr>\n

\n

BC107<\/b><\/p>\n<\/td>\n

\n

50<\/p>\n<\/td>\n

\n

22.99\u00b10.155<\/p>\n<\/td>\n

\n

22.86\u00b10.048<\/p>\n<\/td>\n

\n

31.59\u00b10.487<\/p>\n<\/td>\n

\n

8.6<\/p>\n<\/td>\n

\n

-0.13<\/p>\n<\/td>\n<\/tr>\n

\n

BC117<\/b><\/p>\n<\/td>\n

\n

65<\/p>\n<\/td>\n

\n

21.69\u00b10.024<\/p>\n<\/td>\n

\n

21.66\u00b10.032<\/p>\n<\/td>\n

\n

27.97\u00b10.123<\/p>\n<\/td>\n

\n

6.28<\/p>\n<\/td>\n

\n

-0.03<\/p>\n<\/td>\n<\/tr>\n

\n

BC190<\/b><\/p>\n<\/td>\n

\n

70<\/p>\n<\/td>\n

\n

21.99\u00b10.023<\/p>\n<\/td>\n

\n

22\u00b10.138<\/p>\n<\/td>\n

\n

29.61\u00b10.522<\/p>\n<\/td>\n

\n

7.62<\/p>\n<\/td>\n

\n

0.01<\/p>\n<\/td>\n<\/tr>\n

\n

BC191<\/b><\/p>\n<\/td>\n

\n

62<\/p>\n<\/td>\n

\n

20.58\u00b10.051<\/p>\n<\/td>\n

\n

21.49\u00b10.051<\/p>\n<\/td>\n

\n

21.53\u00b10.025<\/p>\n<\/td>\n

\n

0.95<\/p>\n<\/td>\n

\n

0.91<\/p>\n<\/td>\n<\/tr>\n

\n

BC192<\/b><\/p>\n<\/td>\n

\n

66<\/p>\n<\/td>\n

\n

21.57\u00b10.089<\/p>\n<\/td>\n

\n

21.59\u00b10.081<\/p>\n<\/td>\n

\n

29.17\u00b10.511<\/p>\n<\/td>\n

\n

7.6<\/p>\n<\/td>\n

\n

0.02<\/p>\n<\/td>\n<\/tr>\n

\n

BC193<\/b><\/p>\n<\/td>\n

\n

69<\/p>\n<\/td>\n

\n

21.75\u00b10.121<\/p>\n<\/td>\n

\n

21.86\u00b10.153<\/p>\n<\/td>\n

\n

28.45\u00b10.085<\/p>\n<\/td>\n

\n

6.7<\/p>\n<\/td>\n

\n

0.11<\/p>\n<\/td>\n<\/tr>\n

\n

BC194<\/b><\/p>\n<\/td>\n

\n

65<\/p>\n<\/td>\n

\n

21.31\u00b10.083<\/p>\n<\/td>\n

\n

22.12\u00b10.183<\/p>\n<\/td>\n

\n

22.28\u00b10.099<\/p>\n<\/td>\n

\n

0.97<\/p>\n<\/td>\n

\n

0.81<\/p>\n<\/td>\n<\/tr>\n

\n

BC196<\/b><\/p>\n<\/td>\n

\n

73<\/p>\n<\/td>\n

\n

22.31\u00b10.041<\/p>\n<\/td>\n

\n

24.59\u00b10.089<\/p>\n<\/td>\n

\n

22.21\u00b10.023<\/p>\n<\/td>\n

\n

-0.1<\/p>\n<\/td>\n

\n

2.28<\/p>\n<\/td>\n<\/tr>\n

\n

BC197<\/b><\/p>\n<\/td>\n

\n

65<\/p>\n<\/td>\n

\n

21.55\u00b10.106<\/p>\n<\/td>\n

\n

22.56\u00b10.109<\/p>\n<\/td>\n

\n

22.54\u00b10.121<\/p>\n<\/td>\n

\n

0.99<\/p>\n<\/td>\n

\n

1.01<\/p>\n<\/td>\n<\/tr>\n

\n

BC198<\/b><\/p>\n<\/td>\n

\n

58<\/p>\n<\/td>\n

\n

21.18\u00b10.215<\/p>\n<\/td>\n

\n

21.96\u00b10.169<\/p>\n<\/td>\n

\n

22.29\u00b10.098<\/p>\n<\/td>\n

\n

1.11<\/p>\n<\/td>\n

\n

0.78<\/p>\n<\/td>\n<\/tr>\n

\n

BC199<\/b><\/p>\n<\/td>\n

\n

58<\/p>\n<\/td>\n

\n

21.46\u00b10.121<\/p>\n<\/td>\n

\n

21.49\u00b10.078<\/p>\n<\/td>\n

\n

29.71\u00b10.376<\/p>\n<\/td>\n

\n

8.25<\/p>\n<\/td>\n

\n

0.03<\/p>\n<\/td>\n<\/tr>\n

\n

BC201<\/b><\/p>\n<\/td>\n

\n

65<\/p>\n<\/td>\n

\n

21.62\u00b10.064<\/p>\n<\/td>\n

\n

21.48\u00b10.087<\/p>\n<\/td>\n

\n

28.81\u00b10.388<\/p>\n<\/td>\n

\n

7.19<\/p>\n<\/td>\n

\n

-0.14<\/p>\n<\/td>\n<\/tr>\n

\n

BC202<\/b><\/p>\n<\/td>\n

\n

50<\/p>\n<\/td>\n

\n

21.68\u00b10.09<\/p>\n<\/td>\n

\n

21.68\u00b10.143<\/p>\n<\/td>\n

\n

30.19\u00b10.81<\/p>\n<\/td>\n

\n

8.51<\/p>\n<\/td>\n

\n

0<\/p>\n<\/td>\n<\/tr>\n

\n

BC203<\/b><\/p>\n<\/td>\n

\n

78<\/p>\n<\/td>\n

\n

22.24\u00b10.115<\/p>\n<\/td>\n

\n

22.3\u00b10.074<\/p>\n<\/td>\n

\n

30.8\u00b10.582<\/p>\n<\/td>\n

\n

8.56<\/p>\n<\/td>\n

\n

0.06<\/p>\n<\/td>\n<\/tr>\n

\n

BC204<\/b><\/p>\n<\/td>\n

\n

31<\/p>\n<\/td>\n

\n

21.67\u00b10.062<\/p>\n<\/td>\n

\n

22.5\u00b10.067<\/p>\n<\/td>\n

\n

22.75\u00b10.036<\/p>\n<\/td>\n

\n

1.08<\/p>\n<\/td>\n

\n

0.83<\/p>\n<\/td>\n<\/tr>\n

\n

BC206<\/b><\/p>\n<\/td>\n

\n

50<\/p>\n<\/td>\n

\n

21.4\u00b10.125<\/p>\n<\/td>\n

\n

22.23\u00b10.165<\/p>\n<\/td>\n

\n

22.25\u00b10.137<\/p>\n<\/td>\n

\n

0.85<\/p>\n<\/td>\n

\n

0.83<\/p>\n<\/td>\n<\/tr>\n

\n

BC207<\/b><\/p>\n<\/td>\n

\n

63<\/p>\n<\/td>\n

\n

21.52\u00b10.096<\/p>\n<\/td>\n

\n

21.4\u00b10.071<\/p>\n<\/td>\n

\n

29.69\u00b10.518<\/p>\n<\/td>\n

\n

8.17<\/p>\n<\/td>\n

\n

-0.12<\/p>\n<\/td>\n<\/tr>\n

\n

BC208<\/b><\/p>\n<\/td>\n

\n

67<\/p>\n<\/td>\n

\n

21.6\u00b10.047<\/p>\n<\/td>\n

\n

22.46\u00b10.043<\/p>\n<\/td>\n

\n

22.58\u00b10.053<\/p>\n<\/td>\n

\n

0.98<\/p>\n<\/td>\n

\n

0.86<\/p>\n<\/td>\n<\/tr>\n

\n

BC292<\/b><\/p>\n<\/td>\n

\n

62<\/p>\n<\/td>\n

\n

21.98\u00b10.207<\/p>\n<\/td>\n

\n

23.02\u00b10.005<\/p>\n<\/td>\n

\n

23.17\u00b10.064<\/p>\n<\/td>\n

\n

1.19<\/p>\n<\/td>\n

\n

1.04<\/p>\n<\/td>\n<\/tr>\n

\n

BC293<\/b><\/p>\n<\/td>\n

\n

62<\/p>\n<\/td>\n

\n

22.35\u00b10.105<\/p>\n<\/td>\n

\n

22.32\u00b10.007<\/p>\n<\/td>\n

\n

28.77\u00b10.292<\/p>\n<\/td>\n

\n

6.42<\/p>\n<\/td>\n

\n

-0.03<\/p>\n<\/td>\n<\/tr>\n

\n

BC294<\/b><\/p>\n<\/td>\n

\n

71<\/p>\n<\/td>\n

\n

22.12\u00b10.028<\/p>\n<\/td>\n

\n

23.1\u00b10.106<\/p>\n<\/td>\n

\n

23.16\u00b10.098<\/p>\n<\/td>\n

\n

1.04<\/p>\n<\/td>\n

\n

0.98<\/p>\n<\/td>\n<\/tr>\n

\n

BC295<\/b><\/p>\n<\/td>\n

\n

62<\/p>\n<\/td>\n

\n

22.32\u00b10.036<\/p>\n<\/td>\n

\n

22.11\u00b10.222<\/p>\n<\/td>\n

\n

30.97\u00b10.64<\/p>\n<\/td>\n

\n

8.65<\/p>\n<\/td>\n

\n

-0.21<\/p>\n<\/td>\n<\/tr>\n

\n

BC296<\/b><\/p>\n<\/td>\n

\n

58<\/p>\n<\/td>\n

\n

21.3\u00b10.068<\/p>\n<\/td>\n

\n

22.04\u00b10.024<\/p>\n<\/td>\n

\n

22.13\u00b10.093<\/p>\n<\/td>\n

\n

0.83<\/p>\n<\/td>\n

\n

0.74<\/p>\n<\/td>\n<\/tr>\n

\n

BC297<\/b><\/p>\n<\/td>\n

\n

70<\/p>\n<\/td>\n

\n

20.7\u00b10.092<\/p>\n<\/td>\n

\n

20.57\u00b10.051<\/p>\n<\/td>\n

\n

28.56\u00b10.617<\/p>\n<\/td>\n

\n

7.86<\/p>\n<\/td>\n

\n

-0.13<\/p>\n<\/td>\n<\/tr>\n

\n

BC298<\/b><\/p>\n<\/td>\n

\n

58<\/p>\n<\/td>\n

\n

21.54\u00b10.103<\/p>\n<\/td>\n

\n

21.4\u00b10.098<\/p>\n<\/td>\n

\n

28.92\u00b10.289<\/p>\n<\/td>\n

\n

7.38<\/p>\n<\/td>\n

\n

-0.14<\/p>\n<\/td>\n<\/tr>\n

\n

BC299<\/b><\/p>\n<\/td>\n

\n

64<\/p>\n<\/td>\n

\n

21.71\u00b10.021<\/p>\n<\/td>\n

\n

21.55\u00b10.048<\/p>\n<\/td>\n

\n

30.02\u00b10.263<\/p>\n<\/td>\n

\n

8.31<\/p>\n<\/td>\n

\n

-0.16<\/p>\n<\/td>\n<\/tr>\n

\n

BC300<\/b><\/p>\n<\/td>\n

\n

66<\/p>\n<\/td>\n

\n

22.1\u00b10.126<\/p>\n<\/td>\n

\n

23.11\u00b10.054<\/p>\n<\/td>\n

\n

22.95\u00b10.028<\/p>\n<\/td>\n

\n

0.85<\/p>\n<\/td>\n

\n

1.01<\/p>\n<\/td>\n<\/tr>\n

\n

BC301<\/b><\/p>\n<\/td>\n

\n

44<\/p>\n<\/td>\n

\n

21.63\u00b10.18<\/p>\n<\/td>\n

\n

22.44\u00b10.113<\/p>\n<\/td>\n

\n

22.74\u00b10.125<\/p>\n<\/td>\n

\n

1.11<\/p>\n<\/td>\n

\n

0.81<\/p>\n<\/td>\n<\/tr>\n

\n

BC302<\/b><\/p>\n<\/td>\n

\n

63<\/p>\n<\/td>\n

\n

21.71\u00b10.089<\/p>\n<\/td>\n

\n

22.68\u00b10.196<\/p>\n<\/td>\n

\n

22.84\u00b10.04<\/p>\n<\/td>\n

\n

1.13<\/p>\n<\/td>\n

\n

0.97<\/p>\n<\/td>\n<\/tr>\n

\n

BC303<\/b><\/p>\n<\/td>\n

\n

58<\/p>\n<\/td>\n

\n

21.71\u00b10.113<\/p>\n<\/td>\n

\n

25.06\u00b10.103<\/p>\n<\/td>\n

\n

21.57\u00b10.066<\/p>\n<\/td>\n

\n

-0.14<\/p>\n<\/td>\n

\n

3.35<\/p>\n<\/td>\n<\/tr>\n

\n

BC304<\/b><\/p>\n<\/td>\n

\n

41<\/p>\n<\/td>\n

\n

21\u00b10.069<\/p>\n<\/td>\n

\n

21.58\u00b10.117<\/p>\n<\/td>\n

\n

21.85\u00b10.196<\/p>\n<\/td>\n

\n

0.85<\/p>\n<\/td>\n

\n

0.58<\/p>\n<\/td>\n<\/tr>\n

\n

BC320<\/b><\/p>\n<\/td>\n

\n

50<\/p>\n<\/td>\n

\n

23.24\u00b10.045<\/p>\n<\/td>\n

\n

24.24\u00b10.148<\/p>\n<\/td>\n

\n

24.28\u00b10.084<\/p>\n<\/td>\n

\n

1.04<\/p>\n<\/td>\n

\n

1<\/p>\n<\/td>\n<\/tr>\n

\n

BC321<\/b><\/p>\n<\/td>\n

\n

48<\/p>\n<\/td>\n

\n

23.22\u00b10.04<\/p>\n<\/td>\n

\n

23.09\u00b10.082<\/p>\n<\/td>\n

\n

29.61\u00b10.692<\/p>\n<\/td>\n

\n

6.39<\/p>\n<\/td>\n

\n

-0.13<\/p>\n<\/td>\n<\/tr>\n

\n

BC322<\/b><\/p>\n<\/td>\n

\n

48<\/p>\n<\/td>\n

\n

21.59\u00b10.203<\/p>\n<\/td>\n

\n

22.45\u00b10.188<\/p>\n<\/td>\n

\n

22.46\u00b10.166<\/p>\n<\/td>\n

\n

0.87<\/p>\n<\/td>\n

\n

0.86<\/p>\n<\/td>\n<\/tr>\n

\n

BC323<\/b><\/p>\n<\/td>\n

\n

63<\/p>\n<\/td>\n

\n

22.44\u00b10.086<\/p>\n<\/td>\n

\n

22.28\u00b10.037<\/p>\n<\/td>\n

\n

28.35\u00b10.173<\/p>\n<\/td>\n

\n

5.91<\/p>\n<\/td>\n

\n

-0.16<\/p>\n<\/td>\n<\/tr>\n

\n

BC324<\/b><\/p>\n<\/td>\n

\n

63<\/p>\n<\/td>\n

\n

22.3\u00b10.092<\/p>\n<\/td>\n

\n

23.06\u00b10.035<\/p>\n<\/td>\n

\n

23.4\u00b10.098<\/p>\n<\/td>\n

\n

1.1<\/p>\n<\/td>\n

\n

0.76<\/p>\n<\/td>\n<\/tr>\n

\n

BC325<\/b><\/p>\n<\/td>\n

\n

42<\/p>\n<\/td>\n

\n

21.39\u00b10.109<\/p>\n<\/td>\n

\n

22.3\u00b10.021<\/p>\n<\/td>\n

\n

22.27\u00b10.056<\/p>\n<\/td>\n

\n

0.88<\/p>\n<\/td>\n

\n

0.91<\/p>\n<\/td>\n<\/tr>\n

\n

BC326<\/b><\/p>\n<\/td>\n

\n

69<\/p>\n<\/td>\n

\n

22.11\u00b10.019<\/p>\n<\/td>\n

\n

22.18\u00b10.167<\/p>\n<\/td>\n

\n

28.66\u00b10.383<\/p>\n<\/td>\n

\n

6.55<\/p>\n<\/td>\n

\n

0.07<\/p>\n<\/td>\n<\/tr>\n

\n

BC327<\/b><\/p>\n<\/td>\n

\n

62<\/p>\n<\/td>\n

\n

22.67\u00b10.096<\/p>\n<\/td>\n

\n

25.64\u00b10.096<\/p>\n<\/td>\n

\n

22.44\u00b10.09<\/p>\n<\/td>\n

\n

-0.23<\/p>\n<\/td>\n

\n

2.97<\/p>\n<\/td>\n<\/tr>\n

\n

BC328<\/b><\/p>\n<\/td>\n

\n

44<\/p>\n<\/td>\n

\n

22.38\u00b10.052<\/p>\n<\/td>\n

\n

22.28\u00b10.075<\/p>\n<\/td>\n

\n

29.05\u00b11.272<\/p>\n<\/td>\n

\n

6.67<\/p>\n<\/td>\n

\n

-0.1<\/p>\n<\/td>\n<\/tr>\n

\n

BC329<\/b><\/p>\n<\/td>\n

\n

61<\/p>\n<\/td>\n

\n

22.17\u00b10.079<\/p>\n<\/td>\n

\n

23.03\u00b10.048<\/p>\n<\/td>\n

\n

23.06\u00b10.013<\/p>\n<\/td>\n

\n

0.89<\/p>\n<\/td>\n

\n

0.86<\/p>\n<\/td>\n<\/tr>\n

\n

BC330<\/b><\/p>\n<\/td>\n

\n

71<\/p>\n<\/td>\n

\n

22.06\u00b10.066<\/p>\n<\/td>\n

\n

22.69\u00b10.119<\/p>\n<\/td>\n

\n

22.99\u00b10.108<\/p>\n<\/td>\n

\n

0.93<\/p>\n<\/td>\n

\n

0.63<\/p>\n<\/td>\n<\/tr>\n

\n

BC331<\/b><\/p>\n<\/td>\n

\n

67<\/p>\n<\/td>\n

\n

21.63\u00b10.118<\/p>\n<\/td>\n

\n

22.48\u00b10.048<\/p>\n<\/td>\n

\n

22.58\u00b10.046<\/p>\n<\/td>\n

\n

0.95<\/p>\n<\/td>\n

\n

0.85<\/p>\n<\/td>\n<\/tr>\n

\n

BC332<\/b><\/p>\n<\/td>\n

\n

63<\/p>\n<\/td>\n

\n

21.29\u00b10.162<\/p>\n<\/td>\n

\n

22.09\u00b10.193<\/p>\n<\/td>\n

\n

22.34\u00b10.091<\/p>\n<\/td>\n

\n

1.05<\/p>\n<\/td>\n

\n

0.8<\/p>\n<\/td>\n<\/tr>\n

\n

BC333<\/b><\/p>\n<\/td>\n

\n

66<\/p>\n<\/td>\n

\n

21.32\u00b10.075<\/p>\n<\/td>\n

\n

24.66\u00b10.041<\/p>\n<\/td>\n

\n

21.1\u00b10.158<\/p>\n<\/td>\n

\n

-0.22<\/p>\n<\/td>\n

\n

3.34<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1580187576648{background-color: #f4f4f4 !important;}”][vc_column][vc_column_text]<\/p>\n

Table 2. PCR assay data for patients with diagnosed gastric cancer<\/h4>\n

All collumns as in Table 1.<\/p>\n

[\/vc_column_text][vc_column_text]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Sample<\/b><\/p>\n<\/td>\n

\n

Age<\/b><\/p>\n<\/td>\n

\n

Sex<\/b><\/p>\n<\/td>\n

\n

I<\/b><\/p>\n

Cq_GGCC<\/b><\/p>\n<\/td>\n

\n

II<\/b><\/p>\n

Cq_CATG<\/b><\/p>\n<\/td>\n

\n

III<\/b><\/p>\n

Cq_A(5mC)GC<\/b><\/p>\n<\/td>\n

\n

\u0394Cq_T<\/b><\/p>\n

(II – I)<\/b><\/p>\n<\/td>\n

\n

\u0394Cq_5mC<\/b><\/p>\n

(III-I)<\/b><\/p>\n<\/td>\n<\/tr>\n

\n

GC38<\/p>\n<\/td>\n

\n

60<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

20.71\u00b10.139<\/p>\n<\/td>\n

\n

21.49\u00b10.191<\/p>\n<\/td>\n

\n

21.56\u00b10.056<\/p>\n<\/td>\n

\n

0.78<\/p>\n<\/td>\n

\n

0.85<\/p>\n<\/td>\n<\/tr>\n

\n

GC41<\/p>\n<\/td>\n

\n

47<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

22.08\u00b10.102<\/p>\n<\/td>\n

\n

27.23\u00b10.25<\/p>\n<\/td>\n

\n

21.93\u00b10.193<\/p>\n<\/td>\n

\n

5.15<\/p>\n<\/td>\n

\n

-0.15<\/p>\n<\/td>\n<\/tr>\n

\n

GC43<\/p>\n<\/td>\n

\n

59<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

22.24\u00b10.071<\/p>\n<\/td>\n

\n

23.31\u00b10.023<\/p>\n<\/td>\n

\n

23.02\u00b10.055<\/p>\n<\/td>\n

\n

1.07<\/p>\n<\/td>\n

\n

0.78<\/p>\n<\/td>\n<\/tr>\n

\n

GC45<\/p>\n<\/td>\n

\n

51<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

22.72\u00b10.142<\/p>\n<\/td>\n

\n

32.35\u00b11.843<\/p>\n<\/td>\n

\n

22.5\u00b10.092<\/p>\n<\/td>\n

\n

9.63<\/p>\n<\/td>\n

\n

-0.22<\/p>\n<\/td>\n<\/tr>\n

\n

GC47<\/p>\n<\/td>\n

\n

62<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

20.37\u00b10.086<\/p>\n<\/td>\n

\n

21.38\u00b10.07<\/p>\n<\/td>\n

\n

21.37\u00b10.1<\/p>\n<\/td>\n

\n

1.01<\/p>\n<\/td>\n

\n

1<\/p>\n<\/td>\n<\/tr>\n

\n

GC49<\/p>\n<\/td>\n

\n

46<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.28\u00b10.081<\/p>\n<\/td>\n

\n

28.17\u00b10.139<\/p>\n<\/td>\n

\n

21.38\u00b10.068<\/p>\n<\/td>\n

\n

6.89<\/p>\n<\/td>\n

\n

0.1<\/p>\n<\/td>\n<\/tr>\n

\n

GC50<\/p>\n<\/td>\n

\n

53<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

22.11\u00b10.146<\/p>\n<\/td>\n

\n

23.09\u00b10.051<\/p>\n<\/td>\n

\n

23.02\u00b10.15<\/p>\n<\/td>\n

\n

0.98<\/p>\n<\/td>\n

\n

0.91<\/p>\n<\/td>\n<\/tr>\n

\n

GC51<\/p>\n<\/td>\n

\n

77<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.1\u00b10.133<\/p>\n<\/td>\n

\n

28.24\u00b10.361<\/p>\n<\/td>\n

\n

20.96\u00b10.056<\/p>\n<\/td>\n

\n

7.14<\/p>\n<\/td>\n

\n

-0.14<\/p>\n<\/td>\n<\/tr>\n

\n

GC54<\/p>\n<\/td>\n

\n

70<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

20.62\u00b10.057<\/p>\n<\/td>\n

\n

21.85\u00b10.07<\/p>\n<\/td>\n

\n

21.54\u00b10.133<\/p>\n<\/td>\n

\n

1.23<\/p>\n<\/td>\n

\n

0.92<\/p>\n<\/td>\n<\/tr>\n

\n

GC80<\/p>\n<\/td>\n

\n

72<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

22.58\u00b10.091<\/p>\n<\/td>\n

\n

23.58\u00b10.07<\/p>\n<\/td>\n

\n

23.79\u00b10.142<\/p>\n<\/td>\n

\n

1<\/p>\n<\/td>\n

\n

1.21<\/p>\n<\/td>\n<\/tr>\n

\n

GC98<\/p>\n<\/td>\n

\n

52<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.33\u00b10.068<\/p>\n<\/td>\n

\n

22.23\u00b10.077<\/p>\n<\/td>\n

\n

22.16\u00b10.013<\/p>\n<\/td>\n

\n

0.9<\/p>\n<\/td>\n

\n

0.83<\/p>\n<\/td>\n<\/tr>\n

\n

GC99<\/p>\n<\/td>\n

\n

56<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

24.62\u00b10.142<\/p>\n<\/td>\n

\n

25.84\u00b10.077<\/p>\n<\/td>\n

\n

25.48\u00b10.097<\/p>\n<\/td>\n

\n

1.22<\/p>\n<\/td>\n

\n

0.86<\/p>\n<\/td>\n<\/tr>\n

\n

GC132<\/p>\n<\/td>\n

\n

75<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.08\u00b10.028<\/p>\n<\/td>\n

\n

28.96\u00b10.596<\/p>\n<\/td>\n

\n

20.92\u00b10.152<\/p>\n<\/td>\n

\n

7.88<\/p>\n<\/td>\n

\n

-0.16<\/p>\n<\/td>\n<\/tr>\n

\n

GC133<\/p>\n<\/td>\n

\n

72<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.88\u00b10.141<\/p>\n<\/td>\n

\n

22.94\u00b10.076<\/p>\n<\/td>\n

\n

22.69\u00b10.168<\/p>\n<\/td>\n

\n

1.06<\/p>\n<\/td>\n

\n

0.81<\/p>\n<\/td>\n<\/tr>\n

\n

GC146<\/p>\n<\/td>\n

\n

80<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

22.84\u00b10.118<\/p>\n<\/td>\n

\n

23.63\u00b10.058<\/p>\n<\/td>\n

\n

23.73\u00b10.084<\/p>\n<\/td>\n

\n

0.79<\/p>\n<\/td>\n

\n

0.89<\/p>\n<\/td>\n<\/tr>\n

\n

GC148<\/p>\n<\/td>\n

\n

61<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.27\u00b10.06<\/p>\n<\/td>\n

\n

28.37\u00b10.325<\/p>\n<\/td>\n

\n

21.37\u00b10.165<\/p>\n<\/td>\n

\n

7.1<\/p>\n<\/td>\n

\n

0.1<\/p>\n<\/td>\n<\/tr>\n

\n

GC149<\/p>\n<\/td>\n

\n

83<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

20.79\u00b10.05<\/p>\n<\/td>\n

\n

28.11\u00b10.132<\/p>\n<\/td>\n

\n

20.6\u00b10.098<\/p>\n<\/td>\n

\n

7.32<\/p>\n<\/td>\n

\n

-0.19<\/p>\n<\/td>\n<\/tr>\n

\n

GC150<\/p>\n<\/td>\n

\n

57<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.37\u00b10.024<\/p>\n<\/td>\n

\n

27.21\u00b10.589<\/p>\n<\/td>\n

\n

21.35\u00b10.073<\/p>\n<\/td>\n

\n

5.84<\/p>\n<\/td>\n

\n

-0.02<\/p>\n<\/td>\n<\/tr>\n

\n

GC151<\/p>\n<\/td>\n

\n

50<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

20.22\u00b10.115<\/p>\n<\/td>\n

\n

21.17\u00b10.06<\/p>\n<\/td>\n

\n

21.06\u00b10.126<\/p>\n<\/td>\n

\n

0.95<\/p>\n<\/td>\n

\n

0.84<\/p>\n<\/td>\n<\/tr>\n

\n

GC154<\/p>\n<\/td>\n

\n

61<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

20.95\u00b10.05<\/p>\n<\/td>\n

\n

22.07\u00b10.05<\/p>\n<\/td>\n

\n

21.9\u00b10.218<\/p>\n<\/td>\n

\n

1.12<\/p>\n<\/td>\n

\n

0.95<\/p>\n<\/td>\n<\/tr>\n

\n

GC156<\/p>\n<\/td>\n

\n

70<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

20.59\u00b10.132<\/p>\n<\/td>\n

\n

27.34\u00b10.126<\/p>\n<\/td>\n

\n

20.59\u00b10.043<\/p>\n<\/td>\n

\n

6.75<\/p>\n<\/td>\n

\n

0<\/p>\n<\/td>\n<\/tr>\n

\n

GC157<\/p>\n<\/td>\n

\n

37<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.91\u00b10.144<\/p>\n<\/td>\n

\n

23.1\u00b10.116<\/p>\n<\/td>\n

\n

22.87\u00b10.124<\/p>\n<\/td>\n

\n

1.19<\/p>\n<\/td>\n

\n

0.96<\/p>\n<\/td>\n<\/tr>\n

\n

GC 158<\/p>\n<\/td>\n

\n

76<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

22.16\u00b10.044<\/p>\n<\/td>\n

\n

30.49\u00b11.099<\/p>\n<\/td>\n

\n

22.17\u00b10.177<\/p>\n<\/td>\n

\n

8.33<\/p>\n<\/td>\n

\n

0.01<\/p>\n<\/td>\n<\/tr>\n

\n

GC161<\/p>\n<\/td>\n

\n

49<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

20.85\u00b10.185<\/p>\n<\/td>\n

\n

21.85\u00b10.04<\/p>\n<\/td>\n

\n

21.76\u00b10.069<\/p>\n<\/td>\n

\n

1<\/p>\n<\/td>\n

\n

0.91<\/p>\n<\/td>\n<\/tr>\n

\n

GC182<\/p>\n<\/td>\n

\n

54<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

20.21\u00b10.054<\/p>\n<\/td>\n

\n

21.31\u00b10.036<\/p>\n<\/td>\n

\n

21.26\u00b10.116<\/p>\n<\/td>\n

\n

1.1<\/p>\n<\/td>\n

\n

1.05<\/p>\n<\/td>\n<\/tr>\n

\n

GC184<\/p>\n<\/td>\n

\n

69<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.16\u00b10.058<\/p>\n<\/td>\n

\n

30.1\u00b10.264<\/p>\n<\/td>\n

\n

21.13\u00b10.111<\/p>\n<\/td>\n

\n

8.94<\/p>\n<\/td>\n

\n

-0.03<\/p>\n<\/td>\n<\/tr>\n

\n

GC185<\/p>\n<\/td>\n

\n

69<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.42\u00b1156<\/p>\n<\/td>\n

\n

29.14\u00b11.04<\/p>\n<\/td>\n

\n

21.48\u00b182<\/p>\n<\/td>\n

\n

7.72<\/p>\n<\/td>\n

\n

0.06<\/p>\n<\/td>\n<\/tr>\n

\n

GC186<\/p>\n<\/td>\n

\n

59<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.19\u00b10.029<\/p>\n<\/td>\n

\n

21.95\u00b10.181<\/p>\n<\/td>\n

\n

22.07\u00b10.165<\/p>\n<\/td>\n

\n

0.88<\/p>\n<\/td>\n

\n

0.76<\/p>\n<\/td>\n<\/tr>\n

\n

GC187<\/p>\n<\/td>\n

\n

70<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.06\u00b10.044<\/p>\n<\/td>\n

\n

22.02\u00b10.108<\/p>\n<\/td>\n

\n

21.91\u00b10.181<\/p>\n<\/td>\n

\n

0.96<\/p>\n<\/td>\n

\n

0.85<\/p>\n<\/td>\n<\/tr>\n

\n

GC209<\/p>\n<\/td>\n

\n

59<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.06\u00b10.02<\/p>\n<\/td>\n

\n

21.82\u00b10.163<\/p>\n<\/td>\n

\n

22.05\u00b10.175<\/p>\n<\/td>\n

\n

0.99<\/p>\n<\/td>\n

\n

0.76<\/p>\n<\/td>\n<\/tr>\n

\n

GC211<\/p>\n<\/td>\n

\n

65<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.53\u00b10.13<\/p>\n<\/td>\n

\n

30.17\u00b10.719<\/p>\n<\/td>\n

\n

21.41\u00b10.07<\/p>\n<\/td>\n

\n

8.64<\/p>\n<\/td>\n

\n

-0.12<\/p>\n<\/td>\n<\/tr>\n

\n

GC214<\/p>\n<\/td>\n

\n

82<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.71\u00b10.064<\/p>\n<\/td>\n

\n

28.38\u00b10.625<\/p>\n<\/td>\n

\n

21.79\u00b10.059<\/p>\n<\/td>\n

\n

6.67<\/p>\n<\/td>\n

\n

0.08<\/p>\n<\/td>\n<\/tr>\n

\n

GC215<\/p>\n<\/td>\n

\n

81<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.34\u00b10.086<\/p>\n<\/td>\n

\n

22.22\u00b10.026<\/p>\n<\/td>\n

\n

22.22\u00b10.128<\/p>\n<\/td>\n

\n

0.88<\/p>\n<\/td>\n

\n

0.88<\/p>\n<\/td>\n<\/tr>\n

\n

GC220<\/p>\n<\/td>\n

\n

48<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

20.58\u00b10.043<\/p>\n<\/td>\n

\n

21.49\u00b10.007<\/p>\n<\/td>\n

\n

21.76\u00b10.163<\/p>\n<\/td>\n

\n

0.91<\/p>\n<\/td>\n

\n

1.18<\/p>\n<\/td>\n<\/tr>\n

\n

GC224<\/p>\n<\/td>\n

\n

57<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.57\u00b10.136<\/p>\n<\/td>\n

\n

29.9\u00b10.476<\/p>\n<\/td>\n

\n

21.48\u00b10.148<\/p>\n<\/td>\n

\n

8.33<\/p>\n<\/td>\n

\n

-0.09<\/p>\n<\/td>\n<\/tr>\n

\n

GC225<\/p>\n<\/td>\n

\n

72<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.59\u00b10.096<\/p>\n<\/td>\n

\n

29.69\u00b10.964<\/p>\n<\/td>\n

\n

21.58\u00b10.162<\/p>\n<\/td>\n

\n

8.1<\/p>\n<\/td>\n

\n

-0.01<\/p>\n<\/td>\n<\/tr>\n

\n

GC227<\/p>\n<\/td>\n

\n

79<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.5\u00b10.081<\/p>\n<\/td>\n

\n

29.63\u00b10.38<\/p>\n<\/td>\n

\n

21.47\u00b10.089<\/p>\n<\/td>\n

\n

8.13<\/p>\n<\/td>\n

\n

-0.03<\/p>\n<\/td>\n<\/tr>\n

\n

GC 230<\/p>\n<\/td>\n

\n

63<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.73\u00b10.121<\/p>\n<\/td>\n

\n

22.73\u00b10.125<\/p>\n<\/td>\n

\n

22.57\u00b10.125<\/p>\n<\/td>\n

\n

1<\/p>\n<\/td>\n

\n

0.84<\/p>\n<\/td>\n<\/tr>\n

\n

GC 232<\/p>\n<\/td>\n

\n

64<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

22.39\u00b10.084<\/p>\n<\/td>\n

\n

22.36\u00b10.092<\/p>\n<\/td>\n

\n

25.09\u00b10.033<\/p>\n<\/td>\n

\n

-0.03<\/p>\n<\/td>\n

\n

2.7<\/p>\n<\/td>\n<\/tr>\n

\n

GC 233<\/p>\n<\/td>\n

\n

62<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.17\u00b10.048<\/p>\n<\/td>\n

\n

22.17\u00b10.064<\/p>\n<\/td>\n

\n

21.93\u00b10.077<\/p>\n<\/td>\n

\n

1<\/p>\n<\/td>\n

\n

0.76<\/p>\n<\/td>\n<\/tr>\n

\n

GC 234<\/p>\n<\/td>\n

\n

61<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.21\u00b10.039<\/p>\n<\/td>\n

\n

22.13\u00b10.047<\/p>\n<\/td>\n

\n

22.15\u00b10.107<\/p>\n<\/td>\n

\n

0.94<\/p>\n<\/td>\n

\n

0.92<\/p>\n<\/td>\n<\/tr>\n

\n

GC243<\/p>\n<\/td>\n

\n

75\u043b<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

23.07\u00b10.047<\/p>\n<\/td>\n

\n

24.04\u00b10.007<\/p>\n<\/td>\n

\n

23.87\u00b10.195<\/p>\n<\/td>\n

\n

0.97<\/p>\n<\/td>\n

\n

0.8<\/p>\n<\/td>\n<\/tr>\n

\n

GC250<\/p>\n<\/td>\n

\n

67<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

22.73\u00b10.163<\/p>\n<\/td>\n

\n

29.5\u00b10.41<\/p>\n<\/td>\n

\n

22.56\u00b10.049<\/p>\n<\/td>\n

\n

6.77<\/p>\n<\/td>\n

\n

-0.17<\/p>\n<\/td>\n<\/tr>\n

\n

GC276<\/p>\n<\/td>\n

\n

35<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.23\u00b10.058<\/p>\n<\/td>\n

\n

26.34\u00b10.982<\/p>\n<\/td>\n

\n

21.29\u00b10.107<\/p>\n<\/td>\n

\n

5.11<\/p>\n<\/td>\n

\n

0.06<\/p>\n<\/td>\n<\/tr>\n

\n

GC277<\/p>\n<\/td>\n

\n

72<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.34\u00b10.09<\/p>\n<\/td>\n

\n

21.36\u00b10.025<\/p>\n<\/td>\n

\n

24.08\u00b10.11<\/p>\n<\/td>\n

\n

0.02<\/p>\n<\/td>\n

\n

2.74<\/p>\n<\/td>\n<\/tr>\n

\n

GC280<\/p>\n<\/td>\n

\n

67<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

22.34\u00b10.122<\/p>\n<\/td>\n

\n

23.4\u00b10.031<\/p>\n<\/td>\n

\n

23.11\u00b10.069<\/p>\n<\/td>\n

\n

1.06<\/p>\n<\/td>\n

\n

0.77<\/p>\n<\/td>\n<\/tr>\n

\n

GC282<\/p>\n<\/td>\n

\n

68<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.42\u00b10.092<\/p>\n<\/td>\n

\n

22.44\u00b10.122<\/p>\n<\/td>\n

\n

22.31\u00b10.064<\/p>\n<\/td>\n

\n

1.02<\/p>\n<\/td>\n

\n

0.89<\/p>\n<\/td>\n<\/tr>\n

\n

GC284<\/p>\n<\/td>\n

\n

46<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

22.56\u00b10.065<\/p>\n<\/td>\n

\n

23.74\u00b10.186<\/p>\n<\/td>\n

\n

23.35\u00b10.076<\/p>\n<\/td>\n

\n

1.18<\/p>\n<\/td>\n

\n

0.79<\/p>\n<\/td>\n<\/tr>\n

\n

GC285<\/p>\n<\/td>\n

\n

71<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.56\u00b10.054<\/p>\n<\/td>\n

\n

30.42\u00b10.812<\/p>\n<\/td>\n

\n

21.42\u00b10.118<\/p>\n<\/td>\n

\n

8.86<\/p>\n<\/td>\n

\n

-0.14<\/p>\n<\/td>\n<\/tr>\n

\n

GC286<\/p>\n<\/td>\n

\n

66<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.28\u00b10.112<\/p>\n<\/td>\n

\n

21.42\u00b10.064<\/p>\n<\/td>\n

\n

24.01\u00b10.103<\/p>\n<\/td>\n

\n

0.14<\/p>\n<\/td>\n

\n

2.73<\/p>\n<\/td>\n<\/tr>\n

\n

GC287<\/p>\n<\/td>\n

\n

63<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.17\u00b10.128<\/p>\n<\/td>\n

\n

22.18\u00b10.072<\/p>\n<\/td>\n

\n

22.06\u00b10.023<\/p>\n<\/td>\n

\n

1.01<\/p>\n<\/td>\n

\n

0.89<\/p>\n<\/td>\n<\/tr>\n

\n

GC315<\/p>\n<\/td>\n

\n

74<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.54\u00b10.071<\/p>\n<\/td>\n

\n

22.36\u00b10.116<\/p>\n<\/td>\n

\n

22.36\u00b10.125<\/p>\n<\/td>\n

\n

0.82<\/p>\n<\/td>\n

\n

0.82<\/p>\n<\/td>\n<\/tr>\n

\n

GC316<\/p>\n<\/td>\n

\n

67<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

20.54\u00b10.146<\/p>\n<\/td>\n

\n

21.75\u00b10.049<\/p>\n<\/td>\n

\n

21.38\u00b10.075<\/p>\n<\/td>\n

\n

1.21<\/p>\n<\/td>\n

\n

0.84<\/p>\n<\/td>\n<\/tr>\n

\n

GC 317<\/p>\n<\/td>\n

\n

74<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.62\u00b10.037<\/p>\n<\/td>\n

\n

28.98\u00b10.159<\/p>\n<\/td>\n

\n

21.47\u00b10.022<\/p>\n<\/td>\n

\n

7.36<\/p>\n<\/td>\n

\n

-0.15<\/p>\n<\/td>\n<\/tr>\n

\n

GC 318<\/p>\n<\/td>\n

\n

71<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

22.39\u00b10.041<\/p>\n<\/td>\n

\n

23.62\u00b10.127<\/p>\n<\/td>\n

\n

23.26\u00b10.05<\/p>\n<\/td>\n

\n

1.23<\/p>\n<\/td>\n

\n

0.87<\/p>\n<\/td>\n<\/tr>\n

\n

GC319<\/p>\n<\/td>\n

\n

57<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.51\u00b10.046<\/p>\n<\/td>\n

\n

29.65\u00b10.212<\/p>\n<\/td>\n

\n

21.64\u00b10.139<\/p>\n<\/td>\n

\n

8.14<\/p>\n<\/td>\n

\n

0.13<\/p>\n<\/td>\n<\/tr>\n

\n

GC334<\/p>\n<\/td>\n

\n

67<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

20.44\u00b10.025<\/p>\n<\/td>\n

\n

21.36\u00b10.025<\/p>\n<\/td>\n

\n

21.29\u00b10.044<\/p>\n<\/td>\n

\n

0.92<\/p>\n<\/td>\n

\n

0.85<\/p>\n<\/td>\n<\/tr>\n

\n

GC335<\/p>\n<\/td>\n

\n

55<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

21.52\u00b10.025<\/p>\n<\/td>\n

\n

21.35\u00b10.2<\/p>\n<\/td>\n

\n

24.21\u00b10.035<\/p>\n<\/td>\n

\n

-0.17<\/p>\n<\/td>\n

\n

2.69<\/p>\n<\/td>\n<\/tr>\n

\n

GC340<\/p>\n<\/td>\n

\n

65<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

22.21\u00b10.018<\/p>\n<\/td>\n

\n

22.13\u00b10.129<\/p>\n<\/td>\n

\n

24.2\u00b10.176<\/p>\n<\/td>\n

\n

-0.08<\/p>\n<\/td>\n

\n

1.99<\/p>\n<\/td>\n<\/tr>\n

\n

GC341<\/p>\n<\/td>\n

\n

74<\/p>\n<\/td>\n

\n

f<\/p>\n<\/td>\n

\n

22.45\u00b10.08<\/p>\n<\/td>\n

\n

23.29\u00b10.135<\/p>\n<\/td>\n

\n

23.34\u00b10.09<\/p>\n<\/td>\n

\n

0.84<\/p>\n<\/td>\n

\n

0.89<\/p>\n<\/td>\n<\/tr>\n

\n

GC342<\/p>\n<\/td>\n

\n

72<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

22.38\u00b10.073<\/p>\n<\/td>\n

\n

30.24\u00b10.368<\/p>\n<\/td>\n

\n

22.27\u00b10.139<\/p>\n<\/td>\n

\n

7.86<\/p>\n<\/td>\n

\n

-0.11<\/p>\n<\/td>\n<\/tr>\n

\n

GC343<\/p>\n<\/td>\n

\n

72<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

21.58\u00b10.107<\/p>\n<\/td>\n

\n

22.35\u00b10.022<\/p>\n<\/td>\n

\n

22.43\u00b10.066<\/p>\n<\/td>\n

\n

0.85<\/p>\n<\/td>\n

\n

0.77<\/p>\n<\/td>\n<\/tr>\n

\n

GC344<\/p>\n<\/td>\n

\n

62<\/p>\n<\/td>\n

\n

m<\/p>\n<\/td>\n

\n

22.23\u00b10.085<\/p>\n<\/td>\n

\n

30.9\u00b11.269<\/p>\n<\/td>\n

\n

22.27\u00b10.107<\/p>\n<\/td>\n

\n

8.67<\/p>\n<\/td>\n

\n

0.04<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1580187576648{background-color: #f4f4f4 !important;}”][vc_column][vc_column_text]<\/p>\n

Table 3.<\/span> <\/span><\/h4>\n

Distribution of diploid sets of alleles in position xp1: 245618129 in healthy people and patients with breast cancer and gastric cancer.<\/span> The percentage values of the sample size are given; the number of people with a given diploid set is indicated in parentheses.<\/span><\/span>[\/vc_column_text][vc_column_text]<\/p>\n\n\n\n\n\n\n
Diploid sets<\/span><\/span><\/strong><\/td>\nHealthy donors (46 , <\/strong><\/p>\n

women)<\/strong><\/td>\n

Breast cancer(51)<\/strong><\/td>\nHealthy donors (92, <\/strong><\/p>\n

both sexes)<\/strong><\/td>\n

Gastric cancer (63)<\/strong><\/td>\n<\/tr>\n
C\/C<\/strong><\/td>\n26.09 (12)<\/td>\n9.8 (5)<\/td>\n22.83 (21)<\/td>\n7.94 (5)<\/td>\n<\/tr>\n
C\/T<\/strong><\/td>\n43.48 (20)<\/td>\n49 (25)<\/td>\n46.74 (43)<\/td>\n53.97 (34)<\/td>\n<\/tr>\n
T\/T<\/strong><\/td>\n30.43 (14)<\/td>\n41.2 (21)<\/td>\n30.43 (28)<\/td>\n38.1 (24)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1580187576648{background-color: #f4f4f4 !important;}”][vc_column][vc_column_text]<\/p>\n

Picture 1<\/span> <\/span><\/h4>\n

Comparison of the percentage of diploid sets of alleles in position xp1: 245618129 in healthy donors and patients with breast cancer (top) and breast cancer (bottom).<\/span><\/span>[\/vc_column_text][vc_single_image image=”449″ img_size=”large” alignment=”center” onclick=”img_link_large” img_link_target=”_blank”][\/vc_column][\/vc_row]<\/p>","protected":false},"excerpt":{"rendered":"

We used GlaI\/FatI-PCR assay for determination of 5mC\/T polymorphism frequencies at position xp1: 245618129 (according to the GRCh38.p13 genomic assembly) in DNA preparations isolated from blood cells of 51 breast cancer (BC) patients and 63 gastric cancer patients (GC). The data obtained were compared with those previously obtained for 92 healthy blood donors.
\nIt was shown that the cytosine in this position is predominantly is methylated in all DNA samples. The incidence of a diploid C\/C set in this position in patients with breast cancer and gastric cancer is 9.8% and 7.94%, respectively. This is significantly different from the incidence of C homozygotes in healthy women (26.09%) and healthy donors of both sexes (22.83%). Thus, C\/C homozygotes at position xp1: 245618129 is an favorable sign indicating a lower risk (2.7-2.9 times) of two types of oncological diseases. At the same time, the incidence of C\/T heterozygotes and T\/T homozygotes in patients with gastric cancer and breast cancer exceeds similar indicators for control groups of healthy people by 5.5-10.7%.<\/p>\n","protected":false},"author":1,"featured_media":452,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[5,28],"tags":[31,30,36,7],"coauthors":[16,15,17,18,19,20,26],"_links":{"self":[{"href":"https:\/\/www.epigendx.online\/en\/wp-json\/wp\/v2\/posts\/426"}],"collection":[{"href":"https:\/\/www.epigendx.online\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.epigendx.online\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.epigendx.online\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.epigendx.online\/en\/wp-json\/wp\/v2\/comments?post=426"}],"version-history":[{"count":29,"href":"https:\/\/www.epigendx.online\/en\/wp-json\/wp\/v2\/posts\/426\/revisions"}],"predecessor-version":[{"id":454,"href":"https:\/\/www.epigendx.online\/en\/wp-json\/wp\/v2\/posts\/426\/revisions\/454"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.epigendx.online\/en\/wp-json\/wp\/v2\/media\/452"}],"wp:attachment":[{"href":"https:\/\/www.epigendx.online\/en\/wp-json\/wp\/v2\/media?parent=426"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.epigendx.online\/en\/wp-json\/wp\/v2\/categories?post=426"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.epigendx.online\/en\/wp-json\/wp\/v2\/tags?post=426"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.epigendx.online\/en\/wp-json\/wp\/v2\/coauthors?post=426"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}