Mitochondrial DNA copy numbers in gastric cancer tissues: a possible biomarker for estimating cancer progression

These results indicate that mitochondrial genomic abnormalities contribute the progression of gastric cancer independently of HER2 overexpression, and may shed light on the emerging role of mtDNA-CN in situ as a possible biomarker for estimating cancer progression.

Authors

Institutions

Publication Details

Journal
Japanese Journal of Clinical Oncology
Published
2025-04-23
DOI
https://doi.org/10.1093/jjco/hyaf066
Citations
1
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.94

Funders

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

Mitochondrial DNA copy numbers in gastric cancer tissues: a possible biomarker for estimating cancer progression

Mayuko Ito Fukunaga, Hisanori Fukunaga
1 citations
Japanese Journal of Clinical Oncology
Cancer Genomics and Diagnostics
0.94
article

Mitochondrial DNA copy numbers in gastric cancer tissues: a possible biomarker for estimating cancer progression

Mayuko Ito Fukunaga, Hisanori Fukunaga
article en
1 citations

Abstract

These results indicate that mitochondrial genomic abnormalities contribute the progression of gastric cancer independently of HER2 overexpression, and may shed light on the emerging role of mtDNA-CN in situ as a possible biomarker for estimating cancer progression.

Japanese Journal of Clinical OncologyVol. 55(8)
Sapporo Medical University (JP), Hokkaido University (JP)
Hokkaido University
Good health and well-being
Openalex Percentile: Top 26%
Cancer Genomics and Diagnostics
0.94
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.