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Published in: BMC Gastroenterology 1/2023

Open Access 01-12-2023 | Hepatocellular Carcinoma | Research

A new prediction model of hepatocellular carcinoma based on N7-methylguanosine modification

Authors: Li Yang, Yi-ran Wang, Zhi-qiang Mou, Ping-fu Xiong, Kun Deng, Jian Wen, Jing Li

Published in: BMC Gastroenterology | Issue 1/2023

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Abstract

Purpose

Hepatocellular carcinoma (HCC) is a kind of primary liver cancer. It is a common malignant tumor of digestive system that is difficult to predict the prognosis of patients. As an important epigenetic modification, N7 methyl guanosine (m7G) is indispensable in gene regulation. This regulation may affect the development and occurrence of cancer. However, the prognosis of long non coding RNAs (lncRNAs) in HCC is limited, especially how m7G-related lncRNAs regulate the development of HCC has not been reported.

Methods

The Cancer Genome Atlas (TCGA) provides us with the expression data and corresponding clinical information of HCC patients we need. We used a series of statistical methods to screen four kinds of m7G-related lncRNAs related to HCC prognosis and through a series of verifications, the results were in line with our expectations. Finally, we also explored the IC50 difference and correlation analysis of various common chemotherapy drugs.

Result

Our study identified four differentially expressed m7g-related lncRNAs associated with HCC prognosis. Survival curve analysis showed that high risk lncRNAs would lead to poor prognosis of HCC patients. M7G signature's AUC was 0.789, which shows that the prognosis model we studied has certain significance in predicting the prognosis of HCC patients. Moreover, our study found that different risk groups have different immune and tumor related pathways through gene set enrichment analysis. In addition, many immune cell functions are significantly different among different risk groups, such as T cell functions, including coordination of type I INF response and coordination of type II INF response. The expression of PDCD1, HHLA2, CTLA-4 and many other immune checkpoints in different risk groups is also different. Additionally, we analyzed the differences of IC50 and risk correlation of 15 chemotherapeutic drugs among different risk groups.

Conclusion

A novel lncRNAs associated with m7G predicts the prognosis of HCC.
Appendix
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Literature
1.
go back to reference Ruan Q, Wang H, Burke LJ, Bridle KR, Li X, Zhao CX, et al. Therapeutic modulators of hepatic stellate cells for hepatocellular carcinoma. Int J Cancer. 2020;147(6):1519–27.PubMedCrossRef Ruan Q, Wang H, Burke LJ, Bridle KR, Li X, Zhao CX, et al. Therapeutic modulators of hepatic stellate cells for hepatocellular carcinoma. Int J Cancer. 2020;147(6):1519–27.PubMedCrossRef
2.
go back to reference Morse MA, Sun W, Kim R, He AR, Abada PB, Mynderse M, et al. The role of angiogenesis in hepatocellular carcinoma. Clin Cancer Res. 2019;25(3):912–20.PubMedCrossRef Morse MA, Sun W, Kim R, He AR, Abada PB, Mynderse M, et al. The role of angiogenesis in hepatocellular carcinoma. Clin Cancer Res. 2019;25(3):912–20.PubMedCrossRef
4.
go back to reference Heimbach JK, Kulik LM, Finn RS, Sirlin CB, Abecassis MM, Roberts LR, et al. AASLD guidelines for the treatment of hepatocellular carcinoma. Hepatology. 2018;67(1):358–80.PubMedCrossRef Heimbach JK, Kulik LM, Finn RS, Sirlin CB, Abecassis MM, Roberts LR, et al. AASLD guidelines for the treatment of hepatocellular carcinoma. Hepatology. 2018;67(1):358–80.PubMedCrossRef
5.
go back to reference Bruix J, Sherman M, American Association for the Study of Liver D. Management of hepatocellular carcinoma: an update. Hepatology. 2011;53(3):1020–2.PubMedCrossRef Bruix J, Sherman M, American Association for the Study of Liver D. Management of hepatocellular carcinoma: an update. Hepatology. 2011;53(3):1020–2.PubMedCrossRef
6.
go back to reference Wang H, Cao C, Wei X, Shen K, Shu Y, Wan X, et al. A comparison between drug-eluting bead-transarterial chemoembolization and conventional transarterial chemoembolization in patients with hepatocellular carcinoma: A meta-analysis of six randomized controlled trials. J Cancer Res Ther. 2020;16(2):243–9.PubMedCrossRef Wang H, Cao C, Wei X, Shen K, Shu Y, Wan X, et al. A comparison between drug-eluting bead-transarterial chemoembolization and conventional transarterial chemoembolization in patients with hepatocellular carcinoma: A meta-analysis of six randomized controlled trials. J Cancer Res Ther. 2020;16(2):243–9.PubMedCrossRef
7.
go back to reference Marquardt JU, Galle PR, Teufel A. Molecular diagnosis and therapy of hepatocellular carcinoma (HCC): an emerging field for advanced technologies. J Hepatol. 2012;56(1):267–75.PubMedCrossRef Marquardt JU, Galle PR, Teufel A. Molecular diagnosis and therapy of hepatocellular carcinoma (HCC): an emerging field for advanced technologies. J Hepatol. 2012;56(1):267–75.PubMedCrossRef
9.
10.
go back to reference Roost C, Lynch SR, Batista PJ, Qu K, Chang HY, Kool ET. Structure and thermodynamics of N6-methyladenosine in RNA: a spring-loaded base modification. J Am Chem Soc. 2015;137(5):2107–15.PubMedPubMedCentralCrossRef Roost C, Lynch SR, Batista PJ, Qu K, Chang HY, Kool ET. Structure and thermodynamics of N6-methyladenosine in RNA: a spring-loaded base modification. J Am Chem Soc. 2015;137(5):2107–15.PubMedPubMedCentralCrossRef
11.
go back to reference Chen Y, Peng C, Chen J, Chen D, Yang B, He B, et al. WTAP facilitates progression of hepatocellular carcinoma via m6A-HuR-dependent epigenetic silencing of ETS1. Mol Cancer. 2019;18(1):127.PubMedPubMedCentralCrossRef Chen Y, Peng C, Chen J, Chen D, Yang B, He B, et al. WTAP facilitates progression of hepatocellular carcinoma via m6A-HuR-dependent epigenetic silencing of ETS1. Mol Cancer. 2019;18(1):127.PubMedPubMedCentralCrossRef
12.
go back to reference Dai C, Feng P, Cui L, Su R, Chen W, Wei L. Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites. Brief Bioinform. 2021;22(4):bbaa278.PubMedCrossRef Dai C, Feng P, Cui L, Su R, Chen W, Wei L. Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites. Brief Bioinform. 2021;22(4):bbaa278.PubMedCrossRef
14.
go back to reference Guy MP, Phizicky EM. Two-subunit enzymes involved in eukaryotic post-transcriptional tRNA modification. RNA Biol. 2014;11(12):1608–18.PubMedCrossRef Guy MP, Phizicky EM. Two-subunit enzymes involved in eukaryotic post-transcriptional tRNA modification. RNA Biol. 2014;11(12):1608–18.PubMedCrossRef
15.
go back to reference Malbec L, Zhang T, Chen YS, Zhang Y, Sun BF, Shi BY, et al. Dynamic methylome of internal mRNA N(7)-methylguanosine and its regulatory role in translation. Cell Res. 2019;29(11):927–41.PubMedPubMedCentralCrossRef Malbec L, Zhang T, Chen YS, Zhang Y, Sun BF, Shi BY, et al. Dynamic methylome of internal mRNA N(7)-methylguanosine and its regulatory role in translation. Cell Res. 2019;29(11):927–41.PubMedPubMedCentralCrossRef
16.
go back to reference Ma J, Zhang L, Chen J, Song B, Zang C, Liu H. m(7)GDisAI: N7-methylguanosine (m(7)G) sites and diseases associations inference based on heterogeneous network. BMC Bioinformatics. 2021;22(1):152.PubMedPubMedCentralCrossRef Ma J, Zhang L, Chen J, Song B, Zang C, Liu H. m(7)GDisAI: N7-methylguanosine (m(7)G) sites and diseases associations inference based on heterogeneous network. BMC Bioinformatics. 2021;22(1):152.PubMedPubMedCentralCrossRef
17.
go back to reference Lin S, Liu Q, Lelyveld VS, Choe J, Szostak JW, Gregory RI. Mettl1/Wdr4-Mediated m(7)G tRNA Methylome Is Required for Normal mRNA Translation and Embryonic Stem Cell Self-Renewal and Differentiation. Mol Cell. 2018;71(2):244-255 e245.PubMedPubMedCentralCrossRef Lin S, Liu Q, Lelyveld VS, Choe J, Szostak JW, Gregory RI. Mettl1/Wdr4-Mediated m(7)G tRNA Methylome Is Required for Normal mRNA Translation and Embryonic Stem Cell Self-Renewal and Differentiation. Mol Cell. 2018;71(2):244-255 e245.PubMedPubMedCentralCrossRef
18.
go back to reference Barbieri I, Tzelepis K, Pandolfini L, Shi J, Millan-Zambrano G, Robson SC, et al. Promoter-bound METTL3 maintains myeloid leukaemia by m(6)A-dependent translation control. Nature. 2017;552(7683):126–31.PubMedPubMedCentralCrossRef Barbieri I, Tzelepis K, Pandolfini L, Shi J, Millan-Zambrano G, Robson SC, et al. Promoter-bound METTL3 maintains myeloid leukaemia by m(6)A-dependent translation control. Nature. 2017;552(7683):126–31.PubMedPubMedCentralCrossRef
19.
go back to reference Zhang T, Li K, Zhang ZL, Gao K, Lv CL. LncRNA Airsci increases the inflammatory response after spinal cord injury in rats through the nuclear factor kappa B signaling pathway. Neural Regen Res. 2021;16(4):772–7.PubMedCrossRef Zhang T, Li K, Zhang ZL, Gao K, Lv CL. LncRNA Airsci increases the inflammatory response after spinal cord injury in rats through the nuclear factor kappa B signaling pathway. Neural Regen Res. 2021;16(4):772–7.PubMedCrossRef
20.
go back to reference Wu D, Yin Z, Ji Y, Li L, Li Y, Meng F, et al. Identification of novel autophagy-related lncRNAs associated with a poor prognosis of colon adenocarcinoma through bioinformatics analysis. Sci Rep. 2021;11(1):8069.PubMedPubMedCentralCrossRef Wu D, Yin Z, Ji Y, Li L, Li Y, Meng F, et al. Identification of novel autophagy-related lncRNAs associated with a poor prognosis of colon adenocarcinoma through bioinformatics analysis. Sci Rep. 2021;11(1):8069.PubMedPubMedCentralCrossRef
21.
go back to reference Yin Z, Wu D, Shi J, Wei X, Jin N, Lu X, et al. Identification of ALDH3A2 as a novel prognostic biomarker in gastric adenocarcinoma using integrated bioinformatics analysis. BMC Cancer. 2020;20(1):1062.PubMedPubMedCentralCrossRef Yin Z, Wu D, Shi J, Wei X, Jin N, Lu X, et al. Identification of ALDH3A2 as a novel prognostic biomarker in gastric adenocarcinoma using integrated bioinformatics analysis. BMC Cancer. 2020;20(1):1062.PubMedPubMedCentralCrossRef
22.
go back to reference Gupta RA, Shah N, Wang KC, Kim J, Horlings HM, Wong DJ, et al. Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis. Nature. 2010;464(7291):1071–6.PubMedPubMedCentralCrossRef Gupta RA, Shah N, Wang KC, Kim J, Horlings HM, Wong DJ, et al. Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis. Nature. 2010;464(7291):1071–6.PubMedPubMedCentralCrossRef
25.
go back to reference Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43(7):e47.PubMedPubMedCentralCrossRef Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43(7):e47.PubMedPubMedCentralCrossRef
26.
go back to reference Rizvi AA, Karaesmen E, Morgan M, Preus L, Wang J, Sovic M, et al. gwasurvivr: an R package for genome-wide survival analysis. Bioinformatics. 2019;35(11):1968–70.PubMedCrossRef Rizvi AA, Karaesmen E, Morgan M, Preus L, Wang J, Sovic M, et al. gwasurvivr: an R package for genome-wide survival analysis. Bioinformatics. 2019;35(11):1968–70.PubMedCrossRef
27.
go back to reference Mandrekar JN. Receiver operating characteristic curve in diagnostic test assessment. J Thorac Oncol. 2010;5(9):1315–6.PubMedCrossRef Mandrekar JN. Receiver operating characteristic curve in diagnostic test assessment. J Thorac Oncol. 2010;5(9):1315–6.PubMedCrossRef
28.
go back to reference Xu Z, Peng B, Liang Q, Chen X, Cai Y, Zeng S, et al. Construction of a Ferroptosis-Related Nine-lncRNA Signature for Predicting Prognosis and Immune Response in Hepatocellular Carcinoma. Front Immunol. 2021;12: 719175.PubMedPubMedCentralCrossRef Xu Z, Peng B, Liang Q, Chen X, Cai Y, Zeng S, et al. Construction of a Ferroptosis-Related Nine-lncRNA Signature for Predicting Prognosis and Immune Response in Hepatocellular Carcinoma. Front Immunol. 2021;12: 719175.PubMedPubMedCentralCrossRef
29.
go back to reference Wang A, Lei J. Identification of an 11-lncRNA signature with high performance for predicting the prognosis of hepatocellular carcinoma using bioinformatics analysis. Medicine (Baltimore). 2021;100(5):e23749.PubMedCrossRef Wang A, Lei J. Identification of an 11-lncRNA signature with high performance for predicting the prognosis of hepatocellular carcinoma using bioinformatics analysis. Medicine (Baltimore). 2021;100(5):e23749.PubMedCrossRef
30.
go back to reference Yang S, Zhou Y, Zhang X, Wang L, Fu J, Zhao X, et al. The prognostic value of an autophagy-related lncRNA signature in hepatocellular carcinoma. BMC Bioinformatics. 2021;22(1):217.PubMedPubMedCentralCrossRef Yang S, Zhou Y, Zhang X, Wang L, Fu J, Zhao X, et al. The prognostic value of an autophagy-related lncRNA signature in hepatocellular carcinoma. BMC Bioinformatics. 2021;22(1):217.PubMedPubMedCentralCrossRef
31.
go back to reference Dienstmann R, Villacampa G, Sveen A, Mason MJ, Niedzwiecki D, Nesbakken A, et al. Relative contribution of clinicopathological variables, genomic markers, transcriptomic subtyping and microenvironment features for outcome prediction in stage II/III colorectal cancer. Ann Oncol. 2019;30(10):1622–9.PubMedPubMedCentralCrossRef Dienstmann R, Villacampa G, Sveen A, Mason MJ, Niedzwiecki D, Nesbakken A, et al. Relative contribution of clinicopathological variables, genomic markers, transcriptomic subtyping and microenvironment features for outcome prediction in stage II/III colorectal cancer. Ann Oncol. 2019;30(10):1622–9.PubMedPubMedCentralCrossRef
32.
go back to reference Li T, Fan J, Wang B, Traugh N, Chen Q, Liu JS, et al. TIMER: a web server for comprehensive analysis of tumor-infiltrating immune cells. Cancer Res. 2017;77(21):e108–10.PubMedPubMedCentralCrossRef Li T, Fan J, Wang B, Traugh N, Chen Q, Liu JS, et al. TIMER: a web server for comprehensive analysis of tumor-infiltrating immune cells. Cancer Res. 2017;77(21):e108–10.PubMedPubMedCentralCrossRef
33.
go back to reference Plattner C, Finotello F, Rieder D. Deconvoluting tumor-infiltrating immune cells from RNA-seq data using quanTIseq. Methods Enzymol. 2020;636:261–85.PubMedCrossRef Plattner C, Finotello F, Rieder D. Deconvoluting tumor-infiltrating immune cells from RNA-seq data using quanTIseq. Methods Enzymol. 2020;636:261–85.PubMedCrossRef
35.
go back to reference Racle J, de Jonge K, Baumgaertner P, Speiser DE, Gfeller D. Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data. Elife. 2017;6:e26476.PubMedPubMedCentralCrossRef Racle J, de Jonge K, Baumgaertner P, Speiser DE, Gfeller D. Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data. Elife. 2017;6:e26476.PubMedPubMedCentralCrossRef
36.
37.
go back to reference Geeleher P, Cox N, Huang RS. pRRophetic: an R package for prediction of clinical chemotherapeutic response from tumor gene expression levels. PLoS ONE. 2014;9(9):e107468.PubMedPubMedCentralCrossRef Geeleher P, Cox N, Huang RS. pRRophetic: an R package for prediction of clinical chemotherapeutic response from tumor gene expression levels. PLoS ONE. 2014;9(9):e107468.PubMedPubMedCentralCrossRef
38.
go back to reference Kanehisa M, Furumichi M, Sato Y, Kawashima M, Ishiguro-Watanabe M. KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Res. 2023;51(D1):D587–92.PubMedCrossRef Kanehisa M, Furumichi M, Sato Y, Kawashima M, Ishiguro-Watanabe M. KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Res. 2023;51(D1):D587–92.PubMedCrossRef
41.
go back to reference Gu L, Frommel SC, Oakes CC, Simon R, Grupp K, Gerig CY, et al. BAZ2A (TIP5) is involved in epigenetic alterations in prostate cancer and its overexpression predicts disease recurrence. Nat Genet. 2015;47(1):22–30.PubMedCrossRef Gu L, Frommel SC, Oakes CC, Simon R, Grupp K, Gerig CY, et al. BAZ2A (TIP5) is involved in epigenetic alterations in prostate cancer and its overexpression predicts disease recurrence. Nat Genet. 2015;47(1):22–30.PubMedCrossRef
42.
43.
go back to reference Chen C, Su N, Li G, Shen Y, Duan X. Long non-coding RNA TMCC1-AS1 predicts poor prognosis and accelerates epithelial-mesenchymal transition in liver cancer. Oncol Lett. 2021;22(5):773.PubMedPubMedCentralCrossRef Chen C, Su N, Li G, Shen Y, Duan X. Long non-coding RNA TMCC1-AS1 predicts poor prognosis and accelerates epithelial-mesenchymal transition in liver cancer. Oncol Lett. 2021;22(5):773.PubMedPubMedCentralCrossRef
44.
go back to reference Gao W, Chen X, Chi W, Xue M. Long noncoding RNA MKLN1AS aggravates hepatocellular carcinoma progression by functioning as a molecular sponge for miR6543p, thereby promoting hepatomaderived growth factor expression. Int J Mol Med. 2020;46(5):1743–54.PubMedPubMedCentral Gao W, Chen X, Chi W, Xue M. Long noncoding RNA MKLN1AS aggravates hepatocellular carcinoma progression by functioning as a molecular sponge for miR6543p, thereby promoting hepatomaderived growth factor expression. Int J Mol Med. 2020;46(5):1743–54.PubMedPubMedCentral
45.
go back to reference Chen ZA, Tian H, Yao DM, Zhang Y, Feng ZJ, Yang CJ. Identification of a Ferroptosis-Related Signature Model Including mRNAs and lncRNAs for Predicting Prognosis and Immune Activity in Hepatocellular Carcinoma. Front Oncol. 2021;11: 738477.PubMedPubMedCentralCrossRef Chen ZA, Tian H, Yao DM, Zhang Y, Feng ZJ, Yang CJ. Identification of a Ferroptosis-Related Signature Model Including mRNAs and lncRNAs for Predicting Prognosis and Immune Activity in Hepatocellular Carcinoma. Front Oncol. 2021;11: 738477.PubMedPubMedCentralCrossRef
46.
go back to reference Wu ZH, Li ZW, Yang DL, Liu J. Development and Validation of a Pyroptosis-Related Long Non-coding RNA Signature for Hepatocellular Carcinoma. Front Cell Dev Biol. 2021;9:713925.PubMedPubMedCentralCrossRef Wu ZH, Li ZW, Yang DL, Liu J. Development and Validation of a Pyroptosis-Related Long Non-coding RNA Signature for Hepatocellular Carcinoma. Front Cell Dev Biol. 2021;9:713925.PubMedPubMedCentralCrossRef
47.
go back to reference Jia Y, Chen Y, Liu J. Prognosis-Predictive Signature and Nomogram Based on Autophagy-Related Long Non-coding RNAs for Hepatocellular Carcinoma. Front Genet. 2020;11:608668.PubMedPubMedCentralCrossRef Jia Y, Chen Y, Liu J. Prognosis-Predictive Signature and Nomogram Based on Autophagy-Related Long Non-coding RNAs for Hepatocellular Carcinoma. Front Genet. 2020;11:608668.PubMedPubMedCentralCrossRef
48.
go back to reference Mazza G, Telese A, Al-Akkad W, Frenguelli L, Levi A, Marrali M, et al. Cirrhotic Human Liver Extracellular Matrix 3D Scaffolds Promote Smad-Dependent TGF-beta1 Epithelial Mesenchymal Transition. Cells. 2019;9(1):83.PubMedPubMedCentralCrossRef Mazza G, Telese A, Al-Akkad W, Frenguelli L, Levi A, Marrali M, et al. Cirrhotic Human Liver Extracellular Matrix 3D Scaffolds Promote Smad-Dependent TGF-beta1 Epithelial Mesenchymal Transition. Cells. 2019;9(1):83.PubMedPubMedCentralCrossRef
49.
go back to reference Li J, Han T, Wang X, Wang Y, Chen X, Chen W, et al. Construction of a Novel Immune-Related mRNA Signature to Predict the Prognosis and Immune Characteristics of Human Colorectal Cancer. Front Genet. 2022;13:851373.PubMedPubMedCentralCrossRef Li J, Han T, Wang X, Wang Y, Chen X, Chen W, et al. Construction of a Novel Immune-Related mRNA Signature to Predict the Prognosis and Immune Characteristics of Human Colorectal Cancer. Front Genet. 2022;13:851373.PubMedPubMedCentralCrossRef
50.
go back to reference Bethmann D, Feng Z, Fox BA. Immunoprofiling as a predictor of patient’s response to cancer therapy-promises and challenges. Curr Opin Immunol. 2017;45:60–72.PubMedCrossRef Bethmann D, Feng Z, Fox BA. Immunoprofiling as a predictor of patient’s response to cancer therapy-promises and challenges. Curr Opin Immunol. 2017;45:60–72.PubMedCrossRef
51.
52.
go back to reference Wang R, Guo H, Tang X, Zhang T, Liu Y, Zhang C, et al. Interferon Gamma-Induced Interferon Regulatory Factor 1 Activates Transcription of HHLA2 and Induces Immune Escape of Hepatocellular Carcinoma Cells. Inflammation. 2022;45(1):308–30.PubMedCrossRef Wang R, Guo H, Tang X, Zhang T, Liu Y, Zhang C, et al. Interferon Gamma-Induced Interferon Regulatory Factor 1 Activates Transcription of HHLA2 and Induces Immune Escape of Hepatocellular Carcinoma Cells. Inflammation. 2022;45(1):308–30.PubMedCrossRef
53.
go back to reference Lin J, Zhang Y, Wu J, Li L, Chen N, Ni P, et al. Neuropilin 1 (NRP1) is a novel tumor marker in hepatocellular carcinoma. Clin Chim Acta. 2018;485:158–65.PubMedCrossRef Lin J, Zhang Y, Wu J, Li L, Chen N, Ni P, et al. Neuropilin 1 (NRP1) is a novel tumor marker in hepatocellular carcinoma. Clin Chim Acta. 2018;485:158–65.PubMedCrossRef
Metadata
Title
A new prediction model of hepatocellular carcinoma based on N7-methylguanosine modification
Authors
Li Yang
Yi-ran Wang
Zhi-qiang Mou
Ping-fu Xiong
Kun Deng
Jian Wen
Jing Li
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Gastroenterology / Issue 1/2023
Electronic ISSN: 1471-230X
DOI
https://doi.org/10.1186/s12876-023-02757-9

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