Association of Intratumoral Bacterial Abundance With Lung Cancer Prognosis in Chiba University Hospital Cohort

The relationship between cancer prognosis and intratumoral microbiome has recently gained attention. Regarding lung cancer, most studies have focused on bacteria outside tumors, such as sputum or lavage fluid, with few examining intratumoral bacteria and their impact on prognosis. In this study, we extracted DNA from lung tumor samples of 507 patients undergoing surgery at Chiba University Hospital and quantified intratumoral bacterial abundance using bacteria-specific PCR primers. Bacteria were detected in 77.1% of cases, and bacterial abundance was significantly higher in lung adenocarcinoma than in squamous cell carcinoma. Patients were categorized into three groups (High, Low, and Very-Low) based on bacterial abundance, and associations with clinicopathological factors were analyzed. In lung squamous cell carcinoma, higher bacterial abundance was significantly associated with worse recurrent-free survival and overall survival and was found to be a poor prognostic factor independent of pathological tumor stage. In conclusion, intratumoral bacterial abundance was found in the majority of lung cancer tissues, with variations based on pathology. This abundance may serve as a useful marker for stratifying lung squamous cell carcinoma with distinct prognoses.

Authors

Institutions

Publication Details

Journal
Cancer Science
Published
2025-04-11
DOI
https://doi.org/10.1111/cas.70080
Citations
2
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
3.04

Funders

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

Association of Intratumoral Bacterial Abundance With Lung Cancer Prognosis in Chiba University Hospital Cohort

Takahiro Ochi, Bahityar Rahmutulla, Takuya Nakagawa, Hidemi Suzuki et al.
2 citations
Cancer Science
Lung Cancer Diagnosis and Treatment
3.04
article

Association of Intratumoral Bacterial Abundance With Lung Cancer Prognosis in Chiba University Hospital Cohort

Takahiro Ochi, Bahityar Rahmutulla, Takuya Nakagawa, Hidemi Suzuki, Masayuki Ota, Masaki Fukuyo, Atsushi Kaneda, Yukiko Matsui, Ichiro Yoshino, Ryoji Fujiki, Jun‐ichiro Ikeda
article en
2 citations

Abstract

The relationship between cancer prognosis and intratumoral microbiome has recently gained attention. Regarding lung cancer, most studies have focused on bacteria outside tumors, such as sputum or lavage fluid, with few examining intratumoral bacteria and their impact on prognosis. In this study, we extracted DNA from lung tumor samples of 507 patients undergoing surgery at Chiba University Hospital and quantified intratumoral bacterial abundance using bacteria-specific PCR primers. Bacteria were detected in 77.1% of cases, and bacterial abundance was significantly higher in lung adenocarcinoma than in squamous cell carcinoma. Patients were categorized into three groups (High, Low, and Very-Low) based on bacterial abundance, and associations with clinicopathological factors were analyzed. In lung squamous cell carcinoma, higher bacterial abundance was significantly associated with worse recurrent-free survival and overall survival and was found to be a poor prognostic factor independent of pathological tumor stage. In conclusion, intratumoral bacterial abundance was found in the majority of lung cancer tissues, with variations based on pathology. This abundance may serve as a useful marker for stratifying lung squamous cell carcinoma with distinct prognoses.

Cancer ScienceVol. 116(7)
Chiba University (JP)
Japan Agency for Medical Research and Development, Chiba Foundation for Health Promotion and Disease Prevention, Chiba University
Openalex Percentile: Top 10%
Lung Cancer Diagnosis and Treatment
3.04
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.