Title: The predictive value of CD4, CD8, and C - reactive protein in the prognosis
of schistosomal and non-schistosomal colorectal cancer
Version: 0 Date: 14 Mar 2023
Reviewer:  Moxin Wu
Reviewer's report:
Cheng et al. investigated the predictive value of CD4, CD8, and C - reactive protein in
the prognosis of schistosomal and non-schistosomal colorectal cancer. The results show
different subtypes of TILs have distinguished biological behavior and function in the immune
microenviroment of NSCRC and SCRC patients. Although the analyses are described very well
- analysis/data are missing to understand the actual performance of this novel biomarker. Below
the different concerns/extra analysis needed:
1. Can you please explain why there is no correlation of between iCD4+T cell density and clinical
characteristics, while there is significantly associated with OS in univariate Cox regression
analysis. Furthermore, in the section of “Univariate and multivariate regression analysis” where
is multivariate result, please describe clearly.
2. Results Patient characteristics; please add median survival time, and range (high and low
expression) and number of deaths (events, low and high). Is there enough events/power for the
multivariate analysis with all the markers?
3. Survival outcomes and Cox regression analysis; please add table (under figure 4) with number
of people/patients at risk for the different groups.
4. Check model performance, using e.g AIC scoring, C-statistic?
5. Although the manuscript is well written, some of the sentences needs further editing for better
understanding.
Title: The predictive value of CD4, CD8, and C - reactive protein in the prognosis
of schistosomal and non-schistosomal colorectal cancer
Version: 0 Date: 14 Mar 2023
Reviewer:  Moxin Wu
Reviewer's report:
Cheng et al. investigated the predictive value of CD4, CD8, and C - reactive protein in
the prognosis of schistosomal and non-schistosomal colorectal cancer. The results show
different subtypes of TILs have distinguished biological behavior and function in the immune
microenviroment of NSCRC and SCRC patients. Although the analyses are described very well
- analysis/data are missing to understand the actual performance of this novel biomarker. Below
the different concerns/extra analysis needed:
1. Can you please explain why there is no correlation of between iCD4+T cell density and clinical
characteristics, while there is significantly associated with OS in univariate Cox regression
analysis. Furthermore, in the section of “Univariate and multivariate regression analysis” where
is multivariate result, please describe clearly.
2. Results Patient characteristics; please add median survival time, and range (high and low
expression) and number of deaths (events, low and high). Is there enough events/power for the
multivariate analysis with all the markers?
3. Survival outcomes and Cox regression analysis; please add table (under figure 4) with number
of people/patients at risk for the different groups.
4. Check model performance, using e.g AIC scoring, C-statistic?
5. Although the manuscript is well written, some of the sentences needs further editing for better
understanding.
Please review this paper.
user
Title: The predictive value of CD4, CD8, and C - reactive protein in the prognosis
of schistosomal and non-schistosomal colorectal cancer
Version: 0 Date: 14 Mar 2023
Reviewer:  Moxin Wu
Reviewer's report:
Cheng et al. investigated the predictive value of CD4, CD8, and C - reactive protein in
the prognosis of schistosomal and non-schistosomal colorectal cancer. The results show
different subtypes of TILs have distinguished biological behavior and function in the immune
microenviroment of NSCRC and SCRC patients. Although the analyses are described very well
- analysis/data are missing to understand the actual performance of this novel biomarker. Below
the different concerns/extra analysis needed:
1. Can you please explain why there is no correlation of between iCD4+T cell density and clinical
characteristics, while there is significantly associated with OS in univariate Cox regression
analysis. Furthermore, in the section of “Univariate and multivariate regression analysis” where
is multivariate result, please describe clearly.
2. Results Patient characteristics; please add median survival time, and range (high and low
expression) and number of deaths (events, low and high). Is there enough events/power for the
multivariate analysis with all the markers?
3. Survival outcomes and Cox regression analysis; please add table (under figure 4) with number
of people/patients at risk for the different groups.
4. Check model performance, using e.g AIC scoring, C-statistic?
5. Although the manuscript is well written, some of the sentences needs further editing for better
understanding.
assistant