Multi-omic approaches for characterization of hepatocellular carcinoma

Habtom W. Ressom; Cristina Di Poto; Alessia Ferrarini; Yunli Hu; Mohammad R.Nezami Ranjbar; Ehwang Song; Rency S. Varghese; Minkun Wang; Shiyue Zhou; Rui Zhu; Yiming Zuo; Mahlet G. Tadesse; Yehia Mechref

doi:10.1109/EMBC.2016.7591467

Multi-omic approaches for characterization of hepatocellular carcinoma

Habtom W. Ressom, Cristina Di Poto, Alessia Ferrarini, Yunli Hu, Mohammad R.Nezami Ranjbar, Ehwang Song, Rency S. Varghese, Minkun Wang, Shiyue Zhou, Rui Zhu, Yiming Zuo, Mahlet G. Tadesse, Yehia Mechref

Chemistry and Biochemistry

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Multi-omic approaches offer the opportunity to characterize complex diseases such as cancer at various molecular levels. In this paper, we present transcriptomic, proteomic/glycoproteomic, glycomic, and metabolomic (TPGM) data we acquired by analysis of liver tissues from hepatocellular carcinoma (HCC) cases and patients with liver cirrhosis. We evaluated changes in the levels of transcripts, proteins, glycans, and metabolites between tumor and cirrhotic tissues by statistical methods. We demonstrated the potential of multi-omic approaches and network analysis to investigate the interactions among these biomolecules in the progression of liver cirrhosis to HCC. Also, we showed the significance of multi-omic approaches to identify pathways altered in HCC.

Original language	English
Title of host publication	2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3437-3440
Number of pages	4
ISBN (Electronic)	9781457702204
DOIs	https://doi.org/10.1109/EMBC.2016.7591467
State	Published - Oct 13 2016
Event	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States Duration: Aug 16 2016 → Aug 20 2016

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2016-October
ISSN (Print)	1557-170X

Conference

Conference	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Country/Territory	United States
City	Orlando
Period	08/16/16 → 08/20/16

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10.1109/EMBC.2016.7591467

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Ressom, H. W., Di Poto, C., Ferrarini, A., Hu, Y., Ranjbar, M. R. N., Song, E., Varghese, R. S., Wang, M., Zhou, S., Zhu, R., Zuo, Y., Tadesse, M. G., & Mechref, Y. (2016). Multi-omic approaches for characterization of hepatocellular carcinoma. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (pp. 3437-3440). [7591467] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2016-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7591467

Ressom, Habtom W. ; Di Poto, Cristina ; Ferrarini, Alessia ; Hu, Yunli ; Ranjbar, Mohammad R.Nezami ; Song, Ehwang ; Varghese, Rency S. ; Wang, Minkun ; Zhou, Shiyue ; Zhu, Rui ; Zuo, Yiming ; Tadesse, Mahlet G. ; Mechref, Yehia. / Multi-omic approaches for characterization of hepatocellular carcinoma. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 3437-3440 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{3d38349090f04d08a8532a547a7c24bc,

title = "Multi-omic approaches for characterization of hepatocellular carcinoma",

abstract = "Multi-omic approaches offer the opportunity to characterize complex diseases such as cancer at various molecular levels. In this paper, we present transcriptomic, proteomic/glycoproteomic, glycomic, and metabolomic (TPGM) data we acquired by analysis of liver tissues from hepatocellular carcinoma (HCC) cases and patients with liver cirrhosis. We evaluated changes in the levels of transcripts, proteins, glycans, and metabolites between tumor and cirrhotic tissues by statistical methods. We demonstrated the potential of multi-omic approaches and network analysis to investigate the interactions among these biomolecules in the progression of liver cirrhosis to HCC. Also, we showed the significance of multi-omic approaches to identify pathways altered in HCC.",

author = "Ressom, {Habtom W.} and {Di Poto}, Cristina and Alessia Ferrarini and Yunli Hu and Ranjbar, {Mohammad R.Nezami} and Ehwang Song and Varghese, {Rency S.} and Minkun Wang and Shiyue Zhou and Rui Zhu and Yiming Zuo and Tadesse, {Mahlet G.} and Yehia Mechref",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; null ; Conference date: 16-08-2016 Through 20-08-2016",

year = "2016",

month = oct,

day = "13",

doi = "10.1109/EMBC.2016.7591467",

language = "English",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Ressom, HW, Di Poto, C, Ferrarini, A, Hu, Y, Ranjbar, MRN, Song, E, Varghese, RS, Wang, M, Zhou, S, Zhu, R, Zuo, Y, Tadesse, MG & Mechref, Y 2016, Multi-omic approaches for characterization of hepatocellular carcinoma. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016., 7591467, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2016-October, Institute of Electrical and Electronics Engineers Inc., pp. 3437-3440, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, United States, 08/16/16. https://doi.org/10.1109/EMBC.2016.7591467

Multi-omic approaches for characterization of hepatocellular carcinoma. / Ressom, Habtom W.; Di Poto, Cristina; Ferrarini, Alessia; Hu, Yunli; Ranjbar, Mohammad R.Nezami; Song, Ehwang; Varghese, Rency S.; Wang, Minkun; Zhou, Shiyue; Zhu, Rui; Zuo, Yiming; Tadesse, Mahlet G.; Mechref, Yehia.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 3437-3440 7591467 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2016-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-omic approaches for characterization of hepatocellular carcinoma

AU - Ressom, Habtom W.

AU - Di Poto, Cristina

AU - Ferrarini, Alessia

AU - Hu, Yunli

AU - Ranjbar, Mohammad R.Nezami

AU - Song, Ehwang

AU - Varghese, Rency S.

AU - Wang, Minkun

AU - Zhou, Shiyue

AU - Zhu, Rui

AU - Zuo, Yiming

AU - Tadesse, Mahlet G.

AU - Mechref, Yehia

PY - 2016/10/13

Y1 - 2016/10/13

N2 - Multi-omic approaches offer the opportunity to characterize complex diseases such as cancer at various molecular levels. In this paper, we present transcriptomic, proteomic/glycoproteomic, glycomic, and metabolomic (TPGM) data we acquired by analysis of liver tissues from hepatocellular carcinoma (HCC) cases and patients with liver cirrhosis. We evaluated changes in the levels of transcripts, proteins, glycans, and metabolites between tumor and cirrhotic tissues by statistical methods. We demonstrated the potential of multi-omic approaches and network analysis to investigate the interactions among these biomolecules in the progression of liver cirrhosis to HCC. Also, we showed the significance of multi-omic approaches to identify pathways altered in HCC.

AB - Multi-omic approaches offer the opportunity to characterize complex diseases such as cancer at various molecular levels. In this paper, we present transcriptomic, proteomic/glycoproteomic, glycomic, and metabolomic (TPGM) data we acquired by analysis of liver tissues from hepatocellular carcinoma (HCC) cases and patients with liver cirrhosis. We evaluated changes in the levels of transcripts, proteins, glycans, and metabolites between tumor and cirrhotic tissues by statistical methods. We demonstrated the potential of multi-omic approaches and network analysis to investigate the interactions among these biomolecules in the progression of liver cirrhosis to HCC. Also, we showed the significance of multi-omic approaches to identify pathways altered in HCC.

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U2 - 10.1109/EMBC.2016.7591467

DO - 10.1109/EMBC.2016.7591467

M3 - Conference contribution

C2 - 28269041

AN - SCOPUS:85009060577

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 3437

EP - 3440

BT - 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 16 August 2016 through 20 August 2016

ER -

Ressom HW, Di Poto C, Ferrarini A, Hu Y, Ranjbar MRN, Song E et al. Multi-omic approaches for characterization of hepatocellular carcinoma. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 3437-3440. 7591467. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/EMBC.2016.7591467

Multi-omic approaches for characterization of hepatocellular carcinoma

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