Title: Identification and validation of a CD4 + T cell-related prognostic model to predict immune
responses in stage III-IV colorectal cancer
Version: 1 Date: 23 Nov 2024
Reviewer's report:
This study integrated data from multiple data sets for analysis, combined with
Immunofluorescence staining and Quantitative real-time PCR, the overall workload was
reasonable.
The logic of writing is roughly reasonable. Starting from the prognosis of patients, the author
find possible related immune cell populations, and then group analysis to find related marker
genes and enrichment pathways, and then classify patients to complete the follow-up research
content. There are a few grammatical errors in some parts of the text, and the overall expression
is relatively smooth.
Data from the public database is reliable.
But in general, there are some deficiencies in the innovation of this study.
1. The research ideas and methods are similar to the previous studies of the same type, and the
final results lack further exploration of the underlying mechanism.
2. In the part of exploring the correlation between CD4 + Tcell and ICIs treatment effect, the
author used the patient cohort of bladder cancer to verify, which had a certain impact on the
credibility of the final results.
3. In the part of chemotherapeutic drug sensitivity, only data analysis was carried out, and there
was a lack of corresponding related experiments to further verify the conclusion.
4. Additionally, it is necessary to provide corresponding statistical analyses for ANXA2 and
FOXP3 in Fig. 8 to ensure the robustness and reliability of the results.
Title: Identification and validation of a CD4 + T cell-related prognostic model to predict immune
responses in stage III-IV colorectal cancer
Version: 1 Date: 23 Nov 2024
Reviewer's report:
This study integrated data from multiple data sets for analysis, combined with
Immunofluorescence staining and Quantitative real-time PCR, the overall workload was
reasonable.
The logic of writing is roughly reasonable. Starting from the prognosis of patients, the author
find possible related immune cell populations, and then group analysis to find related marker
genes and enrichment pathways, and then classify patients to complete the follow-up research
content. There are a few grammatical errors in some parts of the text, and the overall expression
is relatively smooth.
Data from the public database is reliable.
But in general, there are some deficiencies in the innovation of this study.
1. The research ideas and methods are similar to the previous studies of the same type, and the
final results lack further exploration of the underlying mechanism.
2. In the part of exploring the correlation between CD4 + Tcell and ICIs treatment effect, the
author used the patient cohort of bladder cancer to verify, which had a certain impact on the
credibility of the final results.
3. In the part of chemotherapeutic drug sensitivity, only data analysis was carried out, and there
was a lack of corresponding related experiments to further verify the conclusion.
4. Additionally, it is necessary to provide corresponding statistical analyses for ANXA2 and
FOXP3 in Fig. 8 to ensure the robustness and reliability of the results.
Please review this paper.
user
Title: Identification and validation of a CD4 + T cell-related prognostic model to predict immune
responses in stage III-IV colorectal cancer
Version: 1 Date: 23 Nov 2024
Reviewer's report:
This study integrated data from multiple data sets for analysis, combined with
Immunofluorescence staining and Quantitative real-time PCR, the overall workload was
reasonable.
The logic of writing is roughly reasonable. Starting from the prognosis of patients, the author
find possible related immune cell populations, and then group analysis to find related marker
genes and enrichment pathways, and then classify patients to complete the follow-up research
content. There are a few grammatical errors in some parts of the text, and the overall expression
is relatively smooth.
Data from the public database is reliable.
But in general, there are some deficiencies in the innovation of this study.
1. The research ideas and methods are similar to the previous studies of the same type, and the
final results lack further exploration of the underlying mechanism.
2. In the part of exploring the correlation between CD4 + Tcell and ICIs treatment effect, the
author used the patient cohort of bladder cancer to verify, which had a certain impact on the
credibility of the final results.
3. In the part of chemotherapeutic drug sensitivity, only data analysis was carried out, and there
was a lack of corresponding related experiments to further verify the conclusion.
4. Additionally, it is necessary to provide corresponding statistical analyses for ANXA2 and
FOXP3 in Fig. 8 to ensure the robustness and reliability of the results.
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