Academic Thesis

Basic information

Name Tsunedomi Ryouichi
Belonging department
Occupation name
researchmap researcher code 1000361639
researchmap agency Okayama University of Science

Title

CD4 and FOXP3 as predictive markers for the recurrence of T3/T4a stage II colorectal cancer: applying a novel discrete Bayes decision rule

Bibliography Type

 

Author

Yuki Nakagami
Shoichi Hazama
Nobuaki Suzuki
Shin Yoshida
Shinobu Tomochika
Hiroto Matsui
Yoshitaro Shindo
Yukio Tokumitsu
Satoshi Matsukuma
Yusaku Watanabe
Michihisa Iida
Ryouichi Tsunedomi
Shigeru Takeda
Tomonobu Fujita
Yutaka Kawakami
Hiroyuki Ogihara
Yoshihiko Hamamoto
Tatsuya Ioka
Tsuyoshi Tanabe
Tomio Ueno
Hiroaki Nagano

Summary

Abstract

 Background

 We recently reported the relapse-free survival (RFS) significance of the combination of CD4+ and forkhead box P3+ (FOXP3) T-cell densities identified by immunohistochemistry in patients with stage I, II, and III colorectal cancer (CRC) who underwent curative resections. This study was designed to determine the optimal combination of markers that predict recurrence in patients with T factors of T3/T4a stage II CRC by applying a novel Bayes decision rule.

 Methods

 Using 137 cancer tissue specimens from T3/T4a stage II patients, 12 clinicopathologic and immune factors were analysed as predictive candidates for recurrence.

 Results

 Our study showed that the combination of low CD4+ and low FOXP3+ T-cell densities resulted in extremely poor RFS.

 Conclusions

 Adjuvant chemotherapy may be considered for patients with a combination of low CD4+ and low FOXP3+ T-cell densities. The discovery of this new prognostic indicator is important for the appropriate management of patients undergoing curative resection for T3/T4a stage II CRC.

Magazine(name)

BMC Cancer

Publisher

Springer Science and Business Media LLC

Volume

22

Number Of Pages

1

StartingPage

1071

EndingPage

1071

Date of Issue

2022-10-18

Referee

Exist

Invited

Not exist

Language

 

Thesis Type

Research papers (academic journals)

ISSN

 

DOI

10.1186/s12885-022-10181-7

NAID

 

PMID

 

J-GLOBAL ID

 

arXiv ID

 

ORCID Put Code

 

DBLP ID