Analysis of m6A regulatory factor mediated modification patterns in rectal cancer based on Bioinformatics

doi:10.3877/cma.j.issn.2095-5820.2022.02.001

Abstract

Abstract:

Objective

To explore the relationship between m6A modification and tumor microenvironment (TME).

Methods

The m6A modification pattern of 288 rectal cancer specimens was comprehensively evaluated based on 23 m6A regulators (RC) to determine the m6A modification pattern and m6A related gene characteristics in RC, and to evaluate the correlation between m6A scoring scheme based on PCA algorithm and immunotherapy response.

Results

This study analyzed the expression and mutation of 23 m6A regulatory factors in RC and their relationship with the prognosis of patient. Further, three different m6A modification modes were identified in RC samples, which were related to different clinical characteristics. It was proved that m6A score could predict the clinical response of patients to PD-1/PD-L1 immunotherapy.

Conclusions

This study showed that the abnormal m6A modification was closely related to the occurrence and development of tumors, and played an important role in the formation of diversity and complexity of TME. Evaluating the m6A modification mode in tumors will help to guide more effective immunotherapy strategies.

Key words: Rectal cancer, Tumor microenvironment, Prognosis, m6A modification

Wei Zhou, Shan Hu, Jinqiang Liu, Lili Duan, Liaoran Niu, Liu Hong, Daiming Fan. Analysis of m6A regulatory factor mediated modification patterns in rectal cancer based on Bioinformatics[J]. Chinese Journal of Clinical Laboratory Management(Electronic Edition), 2022, 10(02): 65-75.

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URL: https://zhlcsysgldzzz.cma-cmc.com.cn/EN/10.3877/cma.j.issn.2095-5820.2022.02.001

https://zhlcsysgldzzz.cma-cmc.com.cn/EN/Y2022/V10/I02/65

Figures/Tables 6

References 30

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m6A调节因子	HR	HR.95L	HR.95H	P值
IGFBP1	0.839 649	0.755 171	0.933 577	0.000 087
YTHDF3	1.332 288	0.924 868	1.919 184	0.000 246
HNRNPA2B1	0.378 774	0.246 117	0.582 935	0.000 421
VIRMA	0.595 351	0.419 923	0.844 065	0.000 789
YTHDC2	1.732 703	1.249 126	2.403 488	0.000 956
YTHDF1	0.604 633	0.430 435	0.849 330	0.001 221
IGFBP2	0.923 730	0.845 738	1.008 914	0.004 226
METTL14	1.146 693	0.806 679	1.630 023	0.005 431
FMR1	0.683 866	0.503 849	0.928 202	0.005 470
LRPPRC	0.773 795	0.581 259	1.030 108	0.008 567
RBM15	0.682 198	0.481 666	0.966 217	0.012 177
IGFBP3	1.109 171	0.950 080	1.294 901	0.014 037
YTHDC1	1.268 771	1.005 214	1.601 431	0.028 030
METTL16	0.688 606	0.454 288	1.043 782	0.029 306

m6A调节因子	HR	HR.95L	HR.95H	P值
IGFBP1	0.839 649	0.755 171	0.933 577	0.000 087
YTHDF3	1.332 288	0.924 868	1.919 184	0.000 246
HNRNPA2B1	0.378 774	0.246 117	0.582 935	0.000 421
VIRMA	0.595 351	0.419 923	0.844 065	0.000 789
YTHDC2	1.732 703	1.249 126	2.403 488	0.000 956
YTHDF1	0.604 633	0.430 435	0.849 330	0.001 221
IGFBP2	0.923 730	0.845 738	1.008 914	0.004 226
METTL14	1.146 693	0.806 679	1.630 023	0.005 431
FMR1	0.683 866	0.503 849	0.928 202	0.005 470
LRPPRC	0.773 795	0.581 259	1.030 108	0.008 567
RBM15	0.682 198	0.481 666	0.966 217	0.012 177
IGFBP3	1.109 171	0.950 080	1.294 901	0.014 037
YTHDC1	1.268 771	1.005 214	1.601 431	0.028 030
METTL16	0.688 606	0.454 288	1.043 782	0.029 306

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