ArticleGastrointestinal cancer : research & therapy2016
Gene Expression Analysis of Sporadic Early-Onset Rectal Adenocarcinoma.
Article in Gastrointestinal cancer : research & therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Differential Expression of miRNAs Between Young-Onset and Late-Onset Indian Colorectal Carcinoma Patients.Non-coding RNA · 2025Article
- Rectal Cancer: Exploring Predictive Biomarkers Through Molecular Pathways Involved in Carcinogenesis.Biology · 2024Review
- A novel nomogram based on cell cycle-related genes for predicting overall survival in early-onset colorectal cancer.BMC cancer · 2023Article
- Article
- A Distinct Innate Immune Signature of Early Onset Colorectal Cancer.ImmunoHorizons · 2021Article
- Transcriptomic landscape of early age onset of colorectal cancer identifies novel genes and pathways in Indian CRC patients.Scientific reports · 2021Article
- Differential Expression of PEG10 Contributes to Aggressive Disease in Early Versus Late-Onset Colorectal Cancer.Diseases of the colon and rectum · 2020Review
- Review
- Disparities in colon and rectal cancer queried individually between Hispanics and Whites.Journal of gastrointestinal oncology · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundOverall declines in incidence of rectal cancer (RC) in patients older than 50 years have been mostly attributed to improvement in treatment modalities and introduction of age-based screening. Recent studies, however, have shown a rise in the incidence of RC in patients younger than 50 years. The etiology of early-onset (EO) RC is not well understood. The aim of this study is to elucidate the molecular features of (EO) RC and show its uniqueness compared to late-onset (LO) disease.
methodsTwo cohorts of patients with sporadic RC were identified. Tumors and matching non-involved tissues from six (EO) RC patients (< 50 years) and six (LO) RC patients (>65 years) were obtained from Pathology archives. Deparaffinized tissues were macro-dissected from FFPE sections, RNA isolated and used for expression profiling of 770 cancer related genes representing 13 canonical pathways. Statistical analysis was performed using the Gene Expression R-script module within the nCounter software v2.6. A gene was considered to be above background if the average count for the target gene was greater than the average counts for the eight negative control genes and if the P value of the t-test was less than 0.05.
resultsWhen we compared rectal tumors to non-involved rectal tissues, changes in expression levels of 171 genes were statistically significant in early-onset group and 151 genes in late-onset group. Further comparative gene expression analysis between early- and late-onset rectal tumors normalized to their matching non-involved tissues revealed that changes in expression of 65 genes were unique to early-onset rectal tumors with 16 genes being up- and 49 genes down-regulated using the cutoff criteria of expression levels difference >2 fold and p-value <0.01. At the pathway level, MAPK signaling was the most deregulated pathway in early-onset rectal tumors compared to PI3K-AKT signaling pathway being the most deregulated in late-onset rectal tumors.
conclusionsResults of this study suggest that sporadic early-onset rectal cancer is characterized by distinct molecular events compared to late-onset disease.
Indexed as
Identifiers
28239680PMC5321608W3021367346What 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.