ArticleAmerican journal of cancer research2014
A mathematical model for short-term vs. long-term survival in patients with glioma.
Article in American journal of cancer research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Identifying survival subtypes with autoencoder using multiple types of high-dimensional genomic data from studies of glioblastoma multiforme.Briefings in bioinformatics · 2025Article
- Protocadherin 15 suppresses oligodendrocyte progenitor cell proliferation and promotes motility through distinct signalling pathways.Communications biology · 2022Article
- RAD-seq as an effective strategy for heterogenous variety identification in plants-a case study in Italian Ryegrass (Lolium multiflorum).BMC plant biology · 2022Article
- A Novel Multi-Omics Analysis Model for Diagnosis and Survival Prediction of Lower-Grade Glioma Patients.Frontiers in oncology · 2022Article
- Ovarian carcinoma immunoreactive antigen domain 2 controls mitochondrial apoptosis in lung adenocarcinoma.Cancer science · 2021Article
- Multi-Omics Analysis Based on Genomic Instability for Prognostic Prediction in Lower-Grade Glioma.Frontiers in genetics · 2021Article
- Whole Exome and Transcriptome RNA-Sequencing Model for the Diagnosis of Prostate Cancer.ACS omega · 2020Article
- Article
- OCIAD2 suppressed tumor growth and invasion via AKT pathway in Hepatocelluar carcinoma.Carcinogenesis · 2017Article
- Independent validation of a mathematical genomic model for survival of glioma patients.American journal of cancer research · 2016Article
- A common variant in MTHFR influences response to chemoradiotherapy and recurrence of rectal cancer.American journal of cancer research · 2015Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gliomas, the most common primary brain tumors in adults, constitute clinically, histologically, and molecularly a most heterogeneous type of cancer. Owing to this, accurate clinical prognosis for short-term vs. long-term survival for patients with grade II or III glioma is currently nonexistent. A rigorous, multi-method bioinformatic approach was used to identify the top most differentially expressed genes as captured by mRNA sequencing of tumor tissue. Mathematical modeling was employed to develop the model, and three different and independent methods of validation were used to assess its performance. I present here a mathematical model that can identify with a high accuracy (sensitivity=92.9%, specificity=96.0%) those patients with glioma (grade II or III) who will experience short-term survival (≤ 1 year), as well as those with long-term survival (≥ 3 years), at the time of diagnosis and prior to surgery and adjuvant chemotherapy. The 5 gene input variables to the model are: FAM120AOS, PDLIM4, OCIAD2, PCDH15, and MXI1. MXI1, a transcriptional repressor, represents the top biomarker of survival and the most promising target for the development of a pharmacological treatment.
Indexed as
Identifiers
25520874PMC4266718W277258622What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.