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The REASON score: an epigenetic and clinicopathologic score to predict risk of poor survival in patients with early stage oral squamous cell carcinoma

Overview of attention for article published in Biomarker Research, June 2021
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 351)
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
The REASON score: an epigenetic and clinicopathologic score to predict risk of poor survival in patients with early stage oral squamous cell carcinoma
Published in
Biomarker Research, June 2021
DOI 10.1186/s40364-021-00292-x
Pubmed ID
Authors

Chi T. Viet, Gary Yu, Kesava Asam, Carissa M. Thomas, Angela J. Yoon, Yan Chen Wongworawat, Mina Haghighiabyaneh, Courtney A. Kilkuts, Caitlyn M. McGue, Marcus A. Couey, Nicholas F. Callahan, Coleen Doan, Paul C. Walker, Khanh Nguyen, Stephanie C. Kidd, Steve C. Lee, Anupama Grandhi, Allen C. Cheng, Ashish A. Patel, Elizabeth Philipone, Olivia L. Ricks, Clint T. Allen, Bradley E. Aouizerat

Abstract

Oral squamous cell carcinoma (OSCC) is a capricious cancer with poor survival rates, even for early-stage patients. There is a pressing need to develop more precise risk assessment methods to appropriately tailor clinical treatment. Genome-wide association studies have not produced a viable biomarker. However, these studies are limited by using heterogeneous cohorts, not focusing on methylation although OSCC is a heavily epigenetically-regulated cancer, and not combining molecular data with clinicopathologic data for risk prediction. In this study we focused on early-stage (I/II) OSCC and created a risk score called the REASON score, which combines clinicopathologic characteristics with a 12-gene methylation signature, to predict the risk of 5-year mortality. We combined data from an internal cohort (n = 515) and The Cancer Genome Atlas (TCGA) cohort (n = 58). We collected clinicopathologic data from both cohorts to derive the non-molecular portion of the REASON score. We then analyzed the TCGA cohort DNA methylation data to derive the molecular portion of the risk score. 5-year disease specific survival was 63% for the internal cohort and 86% for the TCGA cohort. The clinicopathologic features with the highest predictive ability among the two the cohorts were age, race, sex, tobacco use, alcohol use, histologic grade, stage, perineural invasion (PNI), lymphovascular invasion (LVI), and margin status. This panel of 10 non-molecular features predicted 5-year mortality risk with a concordance (c)-index = 0.67. Our molecular panel consisted of a 12-gene methylation signature (i.e., HORMAD2, MYLK, GPR133, SOX8, TRPA1, ABCA2, HGFAC, MCPH1, WDR86, CACNA1H, RNF216, CCNJL), which had the most significant differential methylation between patients who survived vs. died by 5 years. All 12 genes have already been linked to survival in other cancers. Of the genes, only SOX8 was previously associated with OSCC; our study was the first to link the remaining 11 genes to OSCC survival. The combined molecular and non-molecular panel formed the REASON score, which predicted risk of death with a c-index = 0.915. The REASON score is a promising biomarker to predict risk of mortality in early-stage OSCC patients. Validation of the REASON score in a larger independent cohort is warranted.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 11%
Student > Ph. D. Student 2 11%
Student > Bachelor 2 11%
Lecturer 1 6%
Researcher 1 6%
Other 1 6%
Unknown 9 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 22%
Medicine and Dentistry 2 11%
Agricultural and Biological Sciences 1 6%
Social Sciences 1 6%
Neuroscience 1 6%
Other 0 0%
Unknown 9 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 07 June 2021.
All research outputs
#3,758,907
of 23,923,788 outputs
Outputs from Biomarker Research
#50
of 351 outputs
Outputs of similar age
#86,926
of 450,475 outputs
Outputs of similar age from Biomarker Research
#5
of 26 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 351 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 86% of its peers.
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 450,475 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 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.