Title: Serum Levels of Oxidative Stress, IL-8, and Pepsinogen I/II Ratio in Helicobacter pylori
and Gastric Cancer Patients: Potential Diagnostic Biomarkers
Version: 2 Date: 07 Sep 2024
Reviewer's report:
The article mainly discusses the expression of IL-8 in gastric cancer and other malignant
tumors, as well as its clinical significance. The study utilizes tools such as GEPIA2 to analyze
the expression levels of IL-8 in gastric cancer compared to other cancers, finding significant
elevations across various cancer types. Additionally, the research employs the Kaplan-Meier
method and Cox regression analysis to assess the impact of IL-8 expression levels on the survival
of gastric cancer patients, revealing that high IL-8 expression is associated with poor prognosis.
The article also investigates the relationship between IL-8 expression and tumor-infiltrating
immune cells, suggesting that IL-8 may be related to immune cell infiltration, indicating its
role in the tumor microenvironment. The experimental design includes case selection, sample
collection, and biochemical analysis, comparing biochemical markers and oxidative stress
indicators among healthy individuals, gastric cancer patients, and H. pylori-infected subjects,
further exploring the clinical application potential of IL-8 and related biomarkers. Ultimately,
the article emphasizes the importance of IL-8 as a potential biomarker, particularly in the early
stages of infection, highlighting its significant diagnostic and prognostic implications.
When selecting subjects, can you provide more detailed inclusion and exclusion criteria? For
example, how do you ensure comparability in clinical characteristics among patients? Have
potential confounding factors such as age, sex, and disease stage been considered?
When using tools like GEPIA2 and TIMER, have the limitations of different analytical
methods been taken into account? For instance, what approach is used for data cleaning and
normalization? How are the results of these tools validated, and are the inherent technical
limitations considered?
Regarding biochemical assays, have standardized procedures been employed to ensure
reproducibility for ELISA and oxidative stress measurements? For example, were parallel
sample tests and repeat experiments conducted?
In statistical analysis, besides using t-tests and ANOVA, have methods for multiple comparison
correction (such as Bonferroni or Benjamini-Hochberg) been considered to control for false
positive rates? Additionally, in survival analysis, has the use of multivariable Cox regression
been considered to control for potential confounding factors?
Title: Serum Levels of Oxidative Stress, IL-8, and Pepsinogen I/II Ratio in Helicobacter pylori
and Gastric Cancer Patients: Potential Diagnostic Biomarkers
Version: 2 Date: 07 Sep 2024
Reviewer's report:
The article mainly discusses the expression of IL-8 in gastric cancer and other malignant
tumors, as well as its clinical significance. The study utilizes tools such as GEPIA2 to analyze
the expression levels of IL-8 in gastric cancer compared to other cancers, finding significant
elevations across various cancer types. Additionally, the research employs the Kaplan-Meier
method and Cox regression analysis to assess the impact of IL-8 expression levels on the survival
of gastric cancer patients, revealing that high IL-8 expression is associated with poor prognosis.
The article also investigates the relationship between IL-8 expression and tumor-infiltrating
immune cells, suggesting that IL-8 may be related to immune cell infiltration, indicating its
role in the tumor microenvironment. The experimental design includes case selection, sample
collection, and biochemical analysis, comparing biochemical markers and oxidative stress
indicators among healthy individuals, gastric cancer patients, and H. pylori-infected subjects,
further exploring the clinical application potential of IL-8 and related biomarkers. Ultimately,
the article emphasizes the importance of IL-8 as a potential biomarker, particularly in the early
stages of infection, highlighting its significant diagnostic and prognostic implications.
When selecting subjects, can you provide more detailed inclusion and exclusion criteria? For
example, how do you ensure comparability in clinical characteristics among patients? Have
potential confounding factors such as age, sex, and disease stage been considered?
When using tools like GEPIA2 and TIMER, have the limitations of different analytical
methods been taken into account? For instance, what approach is used for data cleaning and
normalization? How are the results of these tools validated, and are the inherent technical
limitations considered?
Regarding biochemical assays, have standardized procedures been employed to ensure
reproducibility for ELISA and oxidative stress measurements? For example, were parallel
sample tests and repeat experiments conducted?
In statistical analysis, besides using t-tests and ANOVA, have methods for multiple comparison
correction (such as Bonferroni or Benjamini-Hochberg) been considered to control for false
positive rates? Additionally, in survival analysis, has the use of multivariable Cox regression
been considered to control for potential confounding factors?
Please review this paper.
user
Title: Serum Levels of Oxidative Stress, IL-8, and Pepsinogen I/II Ratio in Helicobacter pylori
and Gastric Cancer Patients: Potential Diagnostic Biomarkers
Version: 2 Date: 07 Sep 2024
Reviewer's report:
The article mainly discusses the expression of IL-8 in gastric cancer and other malignant
tumors, as well as its clinical significance. The study utilizes tools such as GEPIA2 to analyze
the expression levels of IL-8 in gastric cancer compared to other cancers, finding significant
elevations across various cancer types. Additionally, the research employs the Kaplan-Meier
method and Cox regression analysis to assess the impact of IL-8 expression levels on the survival
of gastric cancer patients, revealing that high IL-8 expression is associated with poor prognosis.
The article also investigates the relationship between IL-8 expression and tumor-infiltrating
immune cells, suggesting that IL-8 may be related to immune cell infiltration, indicating its
role in the tumor microenvironment. The experimental design includes case selection, sample
collection, and biochemical analysis, comparing biochemical markers and oxidative stress
indicators among healthy individuals, gastric cancer patients, and H. pylori-infected subjects,
further exploring the clinical application potential of IL-8 and related biomarkers. Ultimately,
the article emphasizes the importance of IL-8 as a potential biomarker, particularly in the early
stages of infection, highlighting its significant diagnostic and prognostic implications.
When selecting subjects, can you provide more detailed inclusion and exclusion criteria? For
example, how do you ensure comparability in clinical characteristics among patients? Have
potential confounding factors such as age, sex, and disease stage been considered?
When using tools like GEPIA2 and TIMER, have the limitations of different analytical
methods been taken into account? For instance, what approach is used for data cleaning and
normalization? How are the results of these tools validated, and are the inherent technical
limitations considered?
Regarding biochemical assays, have standardized procedures been employed to ensure
reproducibility for ELISA and oxidative stress measurements? For example, were parallel
sample tests and repeat experiments conducted?
In statistical analysis, besides using t-tests and ANOVA, have methods for multiple comparison
correction (such as Bonferroni or Benjamini-Hochberg) been considered to control for false
positive rates? Additionally, in survival analysis, has the use of multivariable Cox regression
been considered to control for potential confounding factors?
assistant