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Genomic analyses reveal FAM84B and the NOTCH pathway are associated with the progression of esophageal squamous cell carcinoma

Overview of attention for article published in Giga Science, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

twitter
4 tweeters
peer_reviews
1 peer review site
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
34 Mendeley
citeulike
1 CiteULike
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Title
Genomic analyses reveal FAM84B and the NOTCH pathway are associated with the progression of esophageal squamous cell carcinoma
Published in
Giga Science, January 2016
DOI 10.1186/s13742-015-0107-0
Pubmed ID
Authors

Caixia Cheng, Heyang Cui, Ling Zhang, Zhiwu Jia, Bin Song, Fang Wang, Yaoping Li, Jing Liu, Pengzhou Kong, Ruyi Shi, Yanghui Bi, Bin Yang, Juan Wang, Zhenxiang Zhao, Yanyan Zhang, Xiaoling Hu, Jie Yang, Chanting He, Zhiping Zhao, Jinfen Wang, Yanfeng Xi, Enwei Xu, Guodong Li, Shiping Guo, Yunqing Chen, Xiaofeng Yang, Xing Chen, Jianfang Liang, Jiansheng Guo, Xiaolong Cheng, Chuangui Wang, Qimin Zhan, Yongping Cui

Abstract

Esophageal squamous cell carcinoma (ESCC) is the sixth most lethal cancer worldwide and the fourth most lethal cancer in China. Genomic characterization of tumors, particularly those of different stages, is likely to reveal additional oncogenic mechanisms. Although copy number alterations and somatic point mutations associated with the development of ESCC have been identified by array-based technologies and genome-wide studies, the genomic characterization of ESCCs from different stages of the disease has not been explored. Here, we have performed either whole-genome sequencing or whole-exome sequencing on 51 stage I and 53 stage III ESCC patients to characterize the genomic alterations that occur during the various clinical stages of ESCC, and further validated these changes in 36 atypical hyperplasia samples. Recurrent somatic amplifications at 8q were found to be enriched in stage I tumors and the deletions of 4p-q and 5q were particularly identified in stage III tumors. In particular, the FAM84B gene was amplified and overexpressed in preclinical and ESCC tumors. Knockdown of FAM84B in ESCC cell lines significantly reduced in vitro cell growth, migration and invasion. Although the cancer-associated genes TP53, PIK3CA, CDKN2A and their pathways showed no significant difference between stage I and stage III tumors, we identified and validated a prevalence of mutations in NOTCH1 and in the NOTCH pathway that indicate that they are involved in the preclinical and early stages of ESCC. Our results suggest that FAM84B and the NOTCH pathway are involved in the progression of ESCC and may be potential diagnostic targets for ESCC susceptibility.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Student > Master 6 18%
Student > Bachelor 5 15%
Other 3 9%
Student > Postgraduate 2 6%
Other 3 9%
Unknown 5 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 29%
Medicine and Dentistry 8 24%
Agricultural and Biological Sciences 6 18%
Computer Science 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 12%
Unknown 4 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 May 2018.
All research outputs
#2,065,086
of 12,991,172 outputs
Outputs from Giga Science
#384
of 558 outputs
Outputs of similar age
#63,919
of 358,732 outputs
Outputs of similar age from Giga Science
#51
of 66 outputs
Altmetric has tracked 12,991,172 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 558 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.4. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 358,732 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.