Dataset Information

Physical Activity and Colorectal Cancer Prognosis According to Tumor-Infiltrating T Cells.

ABSTRACT:

Background

Evidence suggests that high-level physical activity may potentially reduce cancer mortality through its immune enhancement effect. We therefore hypothesized that survival benefits associated with physical activity might be stronger in colorectal carcinomas with lower immune reaction at diagnosis.

Methods

Using molecular pathological epidemiology databases of 470 colon and rectal carcinoma cases in the Nurses' Health Study and the Health Professionals Follow-up Study, we assessed the prognostic association of postdiagnosis physical activity in strata of densities of CD3⁺ cells, CD8⁺ cells, CD45RO (PTPRC)⁺ cells, or FOXP3⁺ cells in tumor tissue. Cox proportional hazards regression model was used to adjust for potential confounders, including microsatellite instability, CpG island methylator phenotype, long interspersed nucleotide element-1 methylation, KRAS, BRAF, and PIK3CA mutations, and expression of CTNNB1 (beta-catenin), PTGS2 (cyclooxygenase-2), and IRS1.

Results

The association of postdiagnosis physical activity with colorectal cancer-specific mortality differed by CD3⁺ cell density (P _interaction < .001). Multivariable-adjusted colorectal cancer-specific mortality hazard ratios for a quartile-unit increase in physical activity were 0.56 (95% confidence interval = 0.38 to 0.83) among cases with the lowest quartile of CD3⁺ cell density compared with 1.14 (95% confidence interval = 0.79 to 1.65) in cases with the highest quartile. We observed no differential survival association of physical activity by densities of CD8⁺ cells, CD45RO⁺ cells, or FOXP3⁺ cells.

Conclusions

The association between postdiagnosis physical activity and colorectal cancer survival appeared stronger for carcinomas with lower T cell infiltrates, suggesting an interactive effect of exercise and immunity on colorectal cancer progression.

SUBMITTER: Koh H

PROVIDER: S-EPMC6591576 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Publications

Physical Activity and Colorectal Cancer Prognosis According to Tumor-Infiltrating T Cells.

Koh Hideo H Hamada Tsuyoshi T Song Mingyang M Liu Li L Cao Yin Y Nowak Jonathan A JA da Silva Annacarolina A Twombly Tyler T Morikawa Teppei T Kim Sun A SA Masugi Yohei Y Kosumi Keisuke K Shi Yan Y Gu Mancang M Li Wanwan W Du Chunxia C Chen Yang Y Li Wenbin W Liu Hongli H Li Chenxi C Wu Kana K Nosho Katsuhiko K Inamura Kentaro K Hanyuda Akiko A Zhang Xuehong X Giannakis Marios M Chan Andrew T AT Fuchs Charles S CS Nishihara Reiko R Meyerhardt Jeffrey A JA Ogino Shuji S

JNCI cancer spectrum 20181001 4

<h4>Background</h4>Evidence suggests that high-level physical activity may potentially reduce cancer mortality through its immune enhancement effect. We therefore hypothesized that survival benefits associated with physical activity might be stronger in colorectal carcinomas with lower immune reaction at diagnosis.<h4>Methods</h4>Using molecular pathological epidemiology databases of 470 colon and rectal carcinoma cases in the Nurses' Health Study and the Health Professionals Follow-up Study, we ...[more]

PMID: 31276098

Similar Datasets

Project description:BackgroundArtificial intelligence (AI) technology represented by deep learning has made remarkable achievements in digital pathology, enhancing the accuracy and reliability of diagnosis and prognosis evaluation. The spatial distribution of CD3 + and CD8 + T cells within the tumor microenvironment has been demonstrated to have a significant impact on the prognosis of colorectal cancer (CRC). This study aimed to investigate CD3 CT (CD3 + T cells density in the core of the tumor [CT]) prognostic ability in patients with CRC by using AI technology.MethodsThe study involved the enrollment of 492 patients from two distinct medical centers, with 358 patients assigned to the training cohort and an additional 134 patients allocated to the validation cohort. To facilitate tissue segmentation and T-cells quantification in whole-slide images (WSIs), a fully automated workflow based on deep learning was devised. Upon the completion of tissue segmentation and subsequent cell segmentation, a comprehensive analysis was conducted.ResultsThe evaluation of various positive T cell densities revealed comparable discriminatory ability between CD3 CT and CD3-CD8 (the combination of CD3 + and CD8 + T cells density within the CT and invasive margin) in predicting mortality (C-index in training cohort: 0.65 vs. 0.64; validation cohort: 0.69 vs. 0.69). The CD3 CT was confirmed as an independent prognostic factor, with high CD3 CT density associated with increased overall survival (OS) in the training cohort (hazard ratio [HR] = 0.22, 95% confidence interval [CI]: 0.12-0.38, P <0.001) and validation cohort (HR = 0.21, 95% CI: 0.05-0.92, P = 0.037).ConclusionsWe quantify the spatial distribution of CD3 + and CD8 + T cells within tissue regions in WSIs using AI technology. The CD3 CT confirmed as a stage-independent predictor for OS in CRC patients. Moreover, CD3 CT shows promise in simplifying the CD3-CD8 system and facilitating its practical application in clinical settings.

Dataset Information

Physical Activity and Colorectal Cancer Prognosis According to Tumor-Infiltrating T Cells.

Background

Methods

Results

Conclusions

Publications

Physical Activity and Colorectal Cancer Prognosis According to Tumor-Infiltrating T Cells.

Similar Datasets

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