Association of Fusobacterium nucleatum infection with the clinicopathological characteristics in colorectal cancer patients.

Association Cancerous Clinicopathological feature Colorectal cancer Fusobacterium nucleatum Malaysia Non-cancerous

Journal

Molecular biology reports
ISSN: 1573-4978
Titre abrégé: Mol Biol Rep
Pays: Netherlands
ID NLM: 0403234

Informations de publication

Date de publication:
16 Jan 2024
Historique:
received: 08 11 2023
accepted: 13 12 2023
medline: 16 1 2024
pubmed: 16 1 2024
entrez: 16 1 2024
Statut: epublish

Résumé

Colorectal cancer (CRC) is a global health problem. The gut microbiome is now recognized as an important underlying factor to the initiation and progression of CRC. Fusobacterium nucleatum (FN) is one of the most studied bacteria in the aetiology of CRC. This study provided cohort evidence on the association of FN infection with clinicopathologic features in CRC patients. We analysed the cancerous and adjacent non-cancerous formalin-fixed paraffin embedded (FFPE) tissue of 83 CRC patients from a single medical centre in Malaysia. TaqMan probe-based qPCR targeting the 16S rRNA gene was used to detect the presence of FN in the extracted FFPE DNA. The differences in FN expression between cancer and non-cancer tissues were evaluated. Association studies between FN infection in the tumour and relative FN abundance with available clinical data were conducted. FN was more abundant in the cancerous tissue compared to non-cancerous tissue (p = 0.0025). FN infection in the tumour was significantly associated with lymph node metastasis (p = 0.047) and cancer staging (p = 0.032), but not with other clinicopathologic variables. In double-positive patients where FN was detected in both cancerous and non-cancerous tissue, the expression fold-change of FN, calculated using 2-ΔΔCT formula, was significantly higher in patients with tumour size equal to or greater than 5 cm (p = 0.033) and in KRAS-mutated patients (p = 0.046). FN is enriched in CRC tumour tissue and is associated with tumour size, lymph node metastasis, cancer staging, and KRAS mutation in this single-centre small cohort study.

Sections du résumé

BACKGROUND BACKGROUND
Colorectal cancer (CRC) is a global health problem. The gut microbiome is now recognized as an important underlying factor to the initiation and progression of CRC. Fusobacterium nucleatum (FN) is one of the most studied bacteria in the aetiology of CRC. This study provided cohort evidence on the association of FN infection with clinicopathologic features in CRC patients.
METHODS METHODS
We analysed the cancerous and adjacent non-cancerous formalin-fixed paraffin embedded (FFPE) tissue of 83 CRC patients from a single medical centre in Malaysia. TaqMan probe-based qPCR targeting the 16S rRNA gene was used to detect the presence of FN in the extracted FFPE DNA. The differences in FN expression between cancer and non-cancer tissues were evaluated. Association studies between FN infection in the tumour and relative FN abundance with available clinical data were conducted.
RESULTS RESULTS
FN was more abundant in the cancerous tissue compared to non-cancerous tissue (p = 0.0025). FN infection in the tumour was significantly associated with lymph node metastasis (p = 0.047) and cancer staging (p = 0.032), but not with other clinicopathologic variables. In double-positive patients where FN was detected in both cancerous and non-cancerous tissue, the expression fold-change of FN, calculated using 2-ΔΔCT formula, was significantly higher in patients with tumour size equal to or greater than 5 cm (p = 0.033) and in KRAS-mutated patients (p = 0.046).
CONCLUSIONS CONCLUSIONS
FN is enriched in CRC tumour tissue and is associated with tumour size, lymph node metastasis, cancer staging, and KRAS mutation in this single-centre small cohort study.

Identifiants

DOI: 10.1007/s11033-023-09150-5 PMID: 38227097
pubmed: 38227097
doi: 10.1007/s11033-023-09150-5
pii: 10.1007/s11033-023-09150-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

124

Subventions

Organisme : Sunway University Internal Grant 2020
ID : GRTIN-RSF-SHMS-DMS-03-2020
Organisme : Sunway Medical Centre Research Fund
ID : SRC/002/2017/FR

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer Nature B.V.

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Auteurs

Siew-Wai Pang (SW)

Department of Medical Sciences, School of Medical and Life Sciences, Sunway University, Jalan Universiti, Bandar Sunway, Selangor Darul Ehsan, Subang Jaya, 47500, Malaysia.

Subasri Armon (S)

Pathology Department, Hospital Kuala Lumpur, Jalan Pahang, Kuala Lumpur, 50586, Malaysia.

Jack Bee Chook (JB)

Department of Medical Sciences, School of Medical and Life Sciences, Sunway University, Jalan Universiti, Bandar Sunway, Selangor Darul Ehsan, Subang Jaya, 47500, Malaysia.

Jactty Chew (J)

Department of Biological Sciences, School of Medical and Life Sciences, Sunway University, Jalan Universiti, Bandar Sunway, Selangor Darul Ehsan, Subang Jaya, 47500, Malaysia.

Kaik-Boo Peh (KB)

Mahkota Medical Centre, Mahkota Melaka, Jalan Merdeka, Melaka, 75000, Malaysia.

Wendy Wan-Dee Lim (WW)

Sunway Medical Centre, Jalan Lagoon Selatan, Bandar Sunway, Selangor Darul Ehsan, Subang Jaya, 47500, Malaysia.

Suat Cheng Peh (SC)

Department of Medical Sciences, School of Medical and Life Sciences, Sunway University, Jalan Universiti, Bandar Sunway, Selangor Darul Ehsan, Subang Jaya, 47500, Malaysia.
Sunway Medical Centre, Jalan Lagoon Selatan, Bandar Sunway, Selangor Darul Ehsan, Subang Jaya, 47500, Malaysia.

Sin-Yeang Teow (SY)

Department of Biology, College of Science, Mathematics and Technology, Wenzhou-Kean University, Ouhai, Wenzhou, Zhejiang Province, 325060, China. tsinyean@kean.edu.
Wenzhou Municipal Key Laboratory for Applied Biomedical and Biopharmaceutical Informatics, Ouhai, Wenzhou, Zhejiang Province, 325060, China. tsinyean@kean.edu.
Zhejiang Bioinformatics International Science and Technology Cooperation Center, Ouhai, Wenzhou, Zhejiang Province, 325060, China. tsinyean@kean.edu.
Dorothy and George Hennings College of Science, Mathematics, and Technology, Kean University, 1000 Morris Ave, Union, NJ, 07083, USA. tsinyean@kean.edu.
ORCID: 0000-0002-3824-0224

Classifications MeSH