Title: Evaluation of vital genes correlated with CD8+ T cell infiltration as prognostic biomarkers
in stomach adenocarcinoma
Version: 2 Date: 28 Jul 2023
Reviewer's report:
Reviewer comments to author:
This paper discusses the evaluation of vital genes correlated with CD8+ T cell infiltration
as prognostic biomarkers in stomach adenocarcinoma (STAD). While the risk score model
consisting of four gene expressions seems promising for STAD prognosis, most of the results
are based on analysis of public databases. Only RT-PCR has been conducted as in-vitro analysis,
and the sample size is small. Thus, it remains uncertain whether these genes can truly serve as
prognostic biomarkers in STAD related to CD8+ T cell infiltration.
Major revisions needed:
1. Please consider performing IHC analysis of CD8+ TILs using STAD samples with a larger
sample size to evaluate the correlation between gene expression and the number of CD8 TILs.
2. The correlation coefficient (0.11) between the risk score and CD8+ T-cell infiltration seems
quite low. Please determine if there is a statistically significant correlation.
3. Please conduct mechanistic analysis to prove the correlation between these four genes and the
infiltration of CD8+ T cells into the tumor. Alternatively, discuss possibilities based on existing
reports in the discussion section.
4. Additionally, perform mechanistic analysis to demonstrate the correlation between these four
genes and drug sensitivity or discuss possibilities from existing reports in the discussion section.
I hope these comments will be helpful.
Title: Evaluation of vital genes correlated with CD8+ T cell infiltration as prognostic biomarkers
in stomach adenocarcinoma
Version: 2 Date: 28 Jul 2023
Reviewer's report:
Reviewer comments to author:
This paper discusses the evaluation of vital genes correlated with CD8+ T cell infiltration
as prognostic biomarkers in stomach adenocarcinoma (STAD). While the risk score model
consisting of four gene expressions seems promising for STAD prognosis, most of the results
are based on analysis of public databases. Only RT-PCR has been conducted as in-vitro analysis,
and the sample size is small. Thus, it remains uncertain whether these genes can truly serve as
prognostic biomarkers in STAD related to CD8+ T cell infiltration.
Major revisions needed:
1. Please consider performing IHC analysis of CD8+ TILs using STAD samples with a larger
sample size to evaluate the correlation between gene expression and the number of CD8 TILs.
2. The correlation coefficient (0.11) between the risk score and CD8+ T-cell infiltration seems
quite low. Please determine if there is a statistically significant correlation.
3. Please conduct mechanistic analysis to prove the correlation between these four genes and the
infiltration of CD8+ T cells into the tumor. Alternatively, discuss possibilities based on existing
reports in the discussion section.
4. Additionally, perform mechanistic analysis to demonstrate the correlation between these four
genes and drug sensitivity or discuss possibilities from existing reports in the discussion section.
I hope these comments will be helpful.
Please review this paper.
user
Title: Evaluation of vital genes correlated with CD8+ T cell infiltration as prognostic biomarkers
in stomach adenocarcinoma
Version: 2 Date: 28 Jul 2023
Reviewer's report:
Reviewer comments to author:
This paper discusses the evaluation of vital genes correlated with CD8+ T cell infiltration
as prognostic biomarkers in stomach adenocarcinoma (STAD). While the risk score model
consisting of four gene expressions seems promising for STAD prognosis, most of the results
are based on analysis of public databases. Only RT-PCR has been conducted as in-vitro analysis,
and the sample size is small. Thus, it remains uncertain whether these genes can truly serve as
prognostic biomarkers in STAD related to CD8+ T cell infiltration.
Major revisions needed:
1. Please consider performing IHC analysis of CD8+ TILs using STAD samples with a larger
sample size to evaluate the correlation between gene expression and the number of CD8 TILs.
2. The correlation coefficient (0.11) between the risk score and CD8+ T-cell infiltration seems
quite low. Please determine if there is a statistically significant correlation.
3. Please conduct mechanistic analysis to prove the correlation between these four genes and the
infiltration of CD8+ T cells into the tumor. Alternatively, discuss possibilities based on existing
reports in the discussion section.
4. Additionally, perform mechanistic analysis to demonstrate the correlation between these four
genes and drug sensitivity or discuss possibilities from existing reports in the discussion section.
I hope these comments will be helpful.
assistant