Title: Comprehensive Analysis of the Biological Function and Immune Infiltration of SLC38A2
in Gastric Cancer
Version: 1 Date: 09 Jan 2023
Reviewer's report:
This study revealed the prognostic value and expression of SLC38A2 in GC by bioinformatics
analysis and experimental skills. Specifically, colony formation, cell counting kit-8, wound
healing, transwell, and tumor formation assays were performed to assess the biological function
of SLC38A2. Furthermore, the potential regulatory mechanisms of SLC38A2 and its role in
tumor immune infiltration were explored. The article had a clear idea, a complete framework, a
certain degree of innovation and good results. However, some details still need to be adjusted.
1: This study adopted collected gastric cancer samples and multiple bioinformatics analysis
databases. I suggest that the corresponding flow chart is provided, which makes it easier for
readers to understand.
2: In the method section "Public database analysis", the author's description of the screening
process of the public database is too simple, for example, the description "The protein-protein
network of SLC38A2 was constructed using the GeneMANIA database" on page 8, line 12.
More detailed descriptions and screening criteria are necessary, we don't know how to screen
out related proteins. Other analysis procedures on public databases also need to be added.
3: In Figure 4C, the p-value is 0, which is not significant. The authors need to make a new
addition to the figure.
4: On the eighth page, it is written in the methods: "Moreover, enrichment analysis using Gene
Ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways
was performed using LinkedOmics (17)", while in the results section,  the authors said: "GSEA
was used to examine GO annotations and KEGG pathways".  The authors need to recheck the
front and back descriptions of the manuscript to ensure consistency. In addition, the genes used
for GO and KEGG analysis were not found, and again, all analysis procedures and screening
criteria should be fully described.
5: Why use LinkedOmics to analyze miRNA and transcription factor targets of SLC38A2 in
GC? What role do these miRNAs and transcription factors play in gastric cancer?
6: In this study, it can be seen that SLC38A2 is associated with the infiltration of multiple
immune cells in gastric cancer, but in the discussion section, the author only discussed
macrophages. The authors should complement other relevant immune cells. Furthermore, how
is the infiltration of these immune cells related to the prognosis of gastric cancer patients?
Combining the relationship between immune cells and the prognosis of patients with gastric
cancer and the correlation of SLC38A2 will help to accurately analyze the relationship between
SLC38A2 and immune cell infiltration.
7: The manuscript needs further English polishing and some obvious grammatical problems
have been found.
Title: Comprehensive Analysis of the Biological Function and Immune Infiltration of SLC38A2
in Gastric Cancer
Version: 1 Date: 09 Jan 2023
Reviewer's report:
This study revealed the prognostic value and expression of SLC38A2 in GC by bioinformatics
analysis and experimental skills. Specifically, colony formation, cell counting kit-8, wound
healing, transwell, and tumor formation assays were performed to assess the biological function
of SLC38A2. Furthermore, the potential regulatory mechanisms of SLC38A2 and its role in
tumor immune infiltration were explored. The article had a clear idea, a complete framework, a
certain degree of innovation and good results. However, some details still need to be adjusted.
1: This study adopted collected gastric cancer samples and multiple bioinformatics analysis
databases. I suggest that the corresponding flow chart is provided, which makes it easier for
readers to understand.
2: In the method section "Public database analysis", the author's description of the screening
process of the public database is too simple, for example, the description "The protein-protein
network of SLC38A2 was constructed using the GeneMANIA database" on page 8, line 12.
More detailed descriptions and screening criteria are necessary, we don't know how to screen
out related proteins. Other analysis procedures on public databases also need to be added.
3: In Figure 4C, the p-value is 0, which is not significant. The authors need to make a new
addition to the figure.
4: On the eighth page, it is written in the methods: "Moreover, enrichment analysis using Gene
Ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways
was performed using LinkedOmics (17)", while in the results section,  the authors said: "GSEA
was used to examine GO annotations and KEGG pathways".  The authors need to recheck the
front and back descriptions of the manuscript to ensure consistency. In addition, the genes used
for GO and KEGG analysis were not found, and again, all analysis procedures and screening
criteria should be fully described.
5: Why use LinkedOmics to analyze miRNA and transcription factor targets of SLC38A2 in
GC? What role do these miRNAs and transcription factors play in gastric cancer?
6: In this study, it can be seen that SLC38A2 is associated with the infiltration of multiple
immune cells in gastric cancer, but in the discussion section, the author only discussed
macrophages. The authors should complement other relevant immune cells. Furthermore, how
is the infiltration of these immune cells related to the prognosis of gastric cancer patients?
Combining the relationship between immune cells and the prognosis of patients with gastric
cancer and the correlation of SLC38A2 will help to accurately analyze the relationship between
SLC38A2 and immune cell infiltration.
7: The manuscript needs further English polishing and some obvious grammatical problems
have been found.
Please review this paper.
user
Title: Comprehensive Analysis of the Biological Function and Immune Infiltration of SLC38A2
in Gastric Cancer
Version: 1 Date: 09 Jan 2023
Reviewer's report:
This study revealed the prognostic value and expression of SLC38A2 in GC by bioinformatics
analysis and experimental skills. Specifically, colony formation, cell counting kit-8, wound
healing, transwell, and tumor formation assays were performed to assess the biological function
of SLC38A2. Furthermore, the potential regulatory mechanisms of SLC38A2 and its role in
tumor immune infiltration were explored. The article had a clear idea, a complete framework, a
certain degree of innovation and good results. However, some details still need to be adjusted.
1: This study adopted collected gastric cancer samples and multiple bioinformatics analysis
databases. I suggest that the corresponding flow chart is provided, which makes it easier for
readers to understand.
2: In the method section "Public database analysis", the author's description of the screening
process of the public database is too simple, for example, the description "The protein-protein
network of SLC38A2 was constructed using the GeneMANIA database" on page 8, line 12.
More detailed descriptions and screening criteria are necessary, we don't know how to screen
out related proteins. Other analysis procedures on public databases also need to be added.
3: In Figure 4C, the p-value is 0, which is not significant. The authors need to make a new
addition to the figure.
4: On the eighth page, it is written in the methods: "Moreover, enrichment analysis using Gene
Ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways
was performed using LinkedOmics (17)", while in the results section,  the authors said: "GSEA
was used to examine GO annotations and KEGG pathways".  The authors need to recheck the
front and back descriptions of the manuscript to ensure consistency. In addition, the genes used
for GO and KEGG analysis were not found, and again, all analysis procedures and screening
criteria should be fully described.
5: Why use LinkedOmics to analyze miRNA and transcription factor targets of SLC38A2 in
GC? What role do these miRNAs and transcription factors play in gastric cancer?
6: In this study, it can be seen that SLC38A2 is associated with the infiltration of multiple
immune cells in gastric cancer, but in the discussion section, the author only discussed
macrophages. The authors should complement other relevant immune cells. Furthermore, how
is the infiltration of these immune cells related to the prognosis of gastric cancer patients?
Combining the relationship between immune cells and the prognosis of patients with gastric
cancer and the correlation of SLC38A2 will help to accurately analyze the relationship between
SLC38A2 and immune cell infiltration.
7: The manuscript needs further English polishing and some obvious grammatical problems
have been found.
assistant