Article Text

Download PDFPDF

EP102/#351  Survey of the translational dysregulation in cervical cancer initiation and progression with ribosome profiling
Free
  1. Misi He1,
  2. Jiahuan He2,
  3. Dongxu Lu2,
  4. Haixia Wang1,
  5. Xueping Zhu1 and
  6. Dongling Zou1
  1. 1Chongqing University Cancer Hospital, Gynecologic Oncology Center, Chongqing, China
  2. 2Peking Union Medical College and Chinese Academy of Medical Sciences, Institute of Basic Medical Sciences, Beijing, China

Abstract

Introduction As a critical position of the multilevel gene expression regulation program, translational regulation has been found to be widely involved in cancer initiation and progression. Cervical cancer is the second largest female malignant tumor in China. The high-resolution and genome-wide view of the landscape of RNA translation in cervical cancer is still limited.

Methods We performed the ribosome profiling for 25 samples of human cervical cancer at various stages and 10 samples of nomal cervical tissues, respectively. A series of bioinformatics tools was then utilized to these data for the mining of novel insights into the translational dysregulation in cervical cancer.

Results This is the first translatome data resource for dissecting dysregulated translation in cervical cancer at the sub-codon resolution. Our data suggested that there are significant differences in the transcriptome and translationome in cervical cancer initiation and progression. For example, multiple proteins involved in cell cycle or cell-cell adhesion exhibited significant translational upregulation and downregulation in cervical cancer when comparing with normal tissue (figure 1). In addition, we analyzed the translatome data with clinical features, which shown translational dysregulation leading to immune dysregulation may be an important reason for the progression of cervical cancer (figure 2).

Conclusion/Implications This study has constructed the first translatome of cervical cancer, which provides a valuable data resource and novel insights in cervical cancer initiation and progression.

Abstract EP102/#351 Figure 1

Translation landscape

Abstract EP102/#351 Figure 2

Analyzed the translatome data with clinical features

Statistics from Altmetric.com

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.