Title: Identification and immunological characterization of cuproptosis-related molecular
clusters in Ulcerative Colitis
Version: 4 Date: 22 Apr 2023
Reviewer's report:
The authors checked and made some changes in the later version of their manuscript, but there
still are some limitations.
1. I had only found pathway annotated in the module selected in two clusters of UC 55 samples,
it still was the absence of pathway or molecular function annotated in the module selected in UC
and control groups in a total of 88 samples. However, through the WGCNA analyses, when you
obtained the module-trait relationships, those significant modules should have been analyzed to
associate some biological, such as pathway, biological progress, molecular function, and so on.
2. Importantly, authors have designed to overlap the WGCNA analyses within both clusters of
UC 55 samples and other groups in a total of 88 samples, where included the same samples of UC
55 ones again and other ones of 31 normal tissue, and obtained DEGs, which are subsequently
step to the machine learning program, however, the kind of the crosstalk interaction seems not
to be meaningful to achieve DEGs for prediction of US occurrence.
3. Manuscript should improve the written quality and adjust the disposition of result data,
allowing readers to readily accept the authors’ hypothesis.
4. In the WGCNA analyses of clusters among 55 UC tissues, however, ME grey, which otherwise
represented less weighted genes, meant no significant ones, showed the distinction of module-
trait relationships within them. It should be confirmed data again.
Title: Identification and immunological characterization of cuproptosis-related molecular
clusters in Ulcerative Colitis
Version: 4 Date: 22 Apr 2023
Reviewer's report:
The authors checked and made some changes in the later version of their manuscript, but there
still are some limitations.
1. I had only found pathway annotated in the module selected in two clusters of UC 55 samples,
it still was the absence of pathway or molecular function annotated in the module selected in UC
and control groups in a total of 88 samples. However, through the WGCNA analyses, when you
obtained the module-trait relationships, those significant modules should have been analyzed to
associate some biological, such as pathway, biological progress, molecular function, and so on.
2. Importantly, authors have designed to overlap the WGCNA analyses within both clusters of
UC 55 samples and other groups in a total of 88 samples, where included the same samples of UC
55 ones again and other ones of 31 normal tissue, and obtained DEGs, which are subsequently
step to the machine learning program, however, the kind of the crosstalk interaction seems not
to be meaningful to achieve DEGs for prediction of US occurrence.
3. Manuscript should improve the written quality and adjust the disposition of result data,
allowing readers to readily accept the authors’ hypothesis.
4. In the WGCNA analyses of clusters among 55 UC tissues, however, ME grey, which otherwise
represented less weighted genes, meant no significant ones, showed the distinction of module-
trait relationships within them. It should be confirmed data again.
Please review this paper.
user
Title: Identification and immunological characterization of cuproptosis-related molecular
clusters in Ulcerative Colitis
Version: 4 Date: 22 Apr 2023
Reviewer's report:
The authors checked and made some changes in the later version of their manuscript, but there
still are some limitations.
1. I had only found pathway annotated in the module selected in two clusters of UC 55 samples,
it still was the absence of pathway or molecular function annotated in the module selected in UC
and control groups in a total of 88 samples. However, through the WGCNA analyses, when you
obtained the module-trait relationships, those significant modules should have been analyzed to
associate some biological, such as pathway, biological progress, molecular function, and so on.
2. Importantly, authors have designed to overlap the WGCNA analyses within both clusters of
UC 55 samples and other groups in a total of 88 samples, where included the same samples of UC
55 ones again and other ones of 31 normal tissue, and obtained DEGs, which are subsequently
step to the machine learning program, however, the kind of the crosstalk interaction seems not
to be meaningful to achieve DEGs for prediction of US occurrence.
3. Manuscript should improve the written quality and adjust the disposition of result data,
allowing readers to readily accept the authors’ hypothesis.
4. In the WGCNA analyses of clusters among 55 UC tissues, however, ME grey, which otherwise
represented less weighted genes, meant no significant ones, showed the distinction of module-
trait relationships within them. It should be confirmed data again.
assistant