Title: Cyclin-Dependent Kinase 19 Upregulation Correlates with an Unfavorable Prognosis in
Hepatocellular Carcinoma
Version: 3 Date: 19 Jun 2021
Reviewer:  Weijia Liao
Reviewer's report:
The relationship between CDK19 and poor prognosis of HCC and the correlation between
CDK19 and biological function of HCC cells were analyzed by bioinformatics. The potential
value of CDK19 as a prognostic marker of HCC was confirmed in this paper, and basic cell
experiments were carried out for verification. There are still some parts that need to be modified.
1.The results of Fig 1C were obtained from the HPA database. It is suggested that the author
should use new collected clinical samples and add immunohistochemical experiments for
verification.
2.In the part of “Survival results and multivariate analysis in HCC”, How to determine the cut-
off value of high CDK19 group and low CDK19 group? How to group patients in this manuscript
needs to be described in detail, which is very important in the article. And why not use ROC
curve to determine the cut-off value of CDK19?
3.For Fig 3A, how to explain that the probability of patients with low CDK19 group was higher
than that of patients with high CDK19 group before 70 months, and the probability of patients
with low CDK19 group was higher than that of patients with CDK19 group after 100 months?
4.In the results part, authors used different patients databases for different analysis, please
describe the reasons for using different databases respectively in the text.
5.It is suggested that the sub-picture in Fig 5 be divided into two lines from one line.
6.In view of the discussion on the results of this study, it is suggested to increase the depth of
the discussion part.
Title: Cyclin-Dependent Kinase 19 Upregulation Correlates with an Unfavorable Prognosis in
Hepatocellular Carcinoma
Version: 3 Date: 19 Jun 2021
Reviewer:  Weijia Liao
Reviewer's report:
The relationship between CDK19 and poor prognosis of HCC and the correlation between
CDK19 and biological function of HCC cells were analyzed by bioinformatics. The potential
value of CDK19 as a prognostic marker of HCC was confirmed in this paper, and basic cell
experiments were carried out for verification. There are still some parts that need to be modified.
1.The results of Fig 1C were obtained from the HPA database. It is suggested that the author
should use new collected clinical samples and add immunohistochemical experiments for
verification.
2.In the part of “Survival results and multivariate analysis in HCC”, How to determine the cut-
off value of high CDK19 group and low CDK19 group? How to group patients in this manuscript
needs to be described in detail, which is very important in the article. And why not use ROC
curve to determine the cut-off value of CDK19?
3.For Fig 3A, how to explain that the probability of patients with low CDK19 group was higher
than that of patients with high CDK19 group before 70 months, and the probability of patients
with low CDK19 group was higher than that of patients with CDK19 group after 100 months?
4.In the results part, authors used different patients databases for different analysis, please
describe the reasons for using different databases respectively in the text.
5.It is suggested that the sub-picture in Fig 5 be divided into two lines from one line.
6.In view of the discussion on the results of this study, it is suggested to increase the depth of
the discussion part.
Please review this paper.
user
Title: Cyclin-Dependent Kinase 19 Upregulation Correlates with an Unfavorable Prognosis in
Hepatocellular Carcinoma
Version: 3 Date: 19 Jun 2021
Reviewer:  Weijia Liao
Reviewer's report:
The relationship between CDK19 and poor prognosis of HCC and the correlation between
CDK19 and biological function of HCC cells were analyzed by bioinformatics. The potential
value of CDK19 as a prognostic marker of HCC was confirmed in this paper, and basic cell
experiments were carried out for verification. There are still some parts that need to be modified.
1.The results of Fig 1C were obtained from the HPA database. It is suggested that the author
should use new collected clinical samples and add immunohistochemical experiments for
verification.
2.In the part of “Survival results and multivariate analysis in HCC”, How to determine the cut-
off value of high CDK19 group and low CDK19 group? How to group patients in this manuscript
needs to be described in detail, which is very important in the article. And why not use ROC
curve to determine the cut-off value of CDK19?
3.For Fig 3A, how to explain that the probability of patients with low CDK19 group was higher
than that of patients with high CDK19 group before 70 months, and the probability of patients
with low CDK19 group was higher than that of patients with CDK19 group after 100 months?
4.In the results part, authors used different patients databases for different analysis, please
describe the reasons for using different databases respectively in the text.
5.It is suggested that the sub-picture in Fig 5 be divided into two lines from one line.
6.In view of the discussion on the results of this study, it is suggested to increase the depth of
the discussion part.
assistant