Transcript PHF19-207 as a Potential Biomarker for Colon Cancer Diagnosis and Screening

A recent comprehensive pan-cancer study indicated the high translational potential of the transcript PHF19-207 as a biomarker for colon cancer. This study aimed to analyze the expression of PHF19-207 in colon tissue samples from two different settings to evaluate its clinical utility for diagnosis and screening. Surgical samples of colon tumor and non-tumor tissue were analyzed to determine the diagnostic value of PHF19-207 and its potential correlation with tumor characteristics. Additionally, biopsied samples from individuals undergoing national colorectal cancer screening were examined to assess the potential use of PHF19-207 in early detection. PHF19-207 expression levels were measured in all samples using Real-Time Polymerase Chain Reaction. A statistically significant difference was observed between tumor and non-tumor tissue (<i>p</i> = 0.002) and between tumor tissue and healthy mucosa samples (<i>p</i> < 0.001). Furthermore, polyp samples exhibited significantly higher PHF19-207 expression compared to healthy mucosa (<i>p</i> = 0.035). Receiver operating characteristic (ROC) analysis indicated that PHF19-207 can effectively differentiate malignant from healthy tissue, with an AUC value of 0.9044. Considering the increasing incidence of colorectal cancer in younger populations and the need for improved early detection, PHF19-207 expression could be explored as the basis for a relatively simple and efficient test, enabling a more comprehensive and affordable screening strategy.

Authors

Institutions

Publication Details

Journal
Biomolecules
Published
2025-05-26
DOI
https://doi.org/10.3390/biom15060766
Primary Topic
Genetic factors in colorectal cancer
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcript PHF19-207 as a Potential Biomarker for Colon Cancer Diagnosis and Screening

Sandra Dragičević, Jelena Ljubičić, Aleksandra Nikolić, Ivan Dimitrijević et al.
Biomolecules
Genetic factors in colorectal cancer
article

Transcript PHF19-207 as a Potential Biomarker for Colon Cancer Diagnosis and Screening

Sandra Dragičević, Jelena Ljubičić, Aleksandra Nikolić, Ivan Dimitrijević, Stefan Kmezić, Tamara Babič, Velimir Marković
article en

Abstract

A recent comprehensive pan-cancer study indicated the high translational potential of the transcript PHF19-207 as a biomarker for colon cancer. This study aimed to analyze the expression of PHF19-207 in colon tissue samples from two different settings to evaluate its clinical utility for diagnosis and screening. Surgical samples of colon tumor and non-tumor tissue were analyzed to determine the diagnostic value of PHF19-207 and its potential correlation with tumor characteristics. Additionally, biopsied samples from individuals undergoing national colorectal cancer screening were examined to assess the potential use of PHF19-207 in early detection. PHF19-207 expression levels were measured in all samples using Real-Time Polymerase Chain Reaction. A statistically significant difference was observed between tumor and non-tumor tissue (<i>p</i> = 0.002) and between tumor tissue and healthy mucosa samples (<i>p</i> < 0.001). Furthermore, polyp samples exhibited significantly higher PHF19-207 expression compared to healthy mucosa (<i>p</i> = 0.035). Receiver operating characteristic (ROC) analysis indicated that PHF19-207 can effectively differentiate malignant from healthy tissue, with an AUC value of 0.9044. Considering the increasing incidence of colorectal cancer in younger populations and the need for improved early detection, PHF19-207 expression could be explored as the basis for a relatively simple and efficient test, enabling a more comprehensive and affordable screening strategy.

BiomoleculesVol. 15(6)
University of Belgrade (RS)
Science Fund of the Republic of Serbia
Openalex Percentile: Top 83%
Genetic factors in colorectal cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Transcript PHF19-207 as a Potential Biomarker for Colon Cancer Diagnosis and Screening — Sandra Dragičević, Jelena Ljubičić, et al. · Biomolecules (2025) | TGRS Research Map | TGRS