Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

The fibroblast, EC, and myofibroblasts were also identified as tumor. What are the reasons for this result? #60

Open
gloriafight opened this issue Apr 12, 2023 · 4 comments

Comments

@gloriafight
Copy link

gloriafight commented Apr 12, 2023

I'm using SCEVAN to analyze a tumor sample. However, when I use the total cells as input. The result is very strange.
image
image
image

The marker is shown in the figure. We can know that C4 is EC, C11 is fibroblast, C0 and C10 is Epithelial cell. I want to distinguish normal cells and malignancy cells in epithelial cells.
The code is as follows:
`count_mtx = cr@assays$RNA@counts

results <- pipelineCNA(count_mtx,sample = "aaaa", par_cores = 8)`

@AntonioDeFalco
Copy link
Owner

AntonioDeFalco commented Apr 12, 2023

Is it possible to share the aaaaheatmap.png file generated by SCEVAN? Are you analyzing human or mouse sample?

@gloriafight
Copy link
Author

Is it possible to share the aaaaheatmap.png file generated by SCEVAN? Are you analyzing human or mouse sample?
This is the heatmap.
image

It is human sample.

@AntonioDeFalco
Copy link
Owner

The separation obtained by copy number alteration seems quite correct (although because of the perhaps not very high sample quality the heatmap is not so clear). The classified malignant cells do indeed seem to have obvious common alterations on some chromosome types 1, 3, 7 and 10. What kind of tumor is it? In case you are sure that those cells are not cancer you can pass to SCEVAN all the cells that you think are confidently normal as parameter norm_cells to get a better classification.

Regards.

@gloriafight
Copy link
Author

The separation obtained by copy number alteration seems quite correct (although because of the perhaps not very high sample quality the heatmap is not so clear). The classified malignant cells do indeed seem to have obvious common alterations on some chromosome types 1, 3, 7 and 10. What kind of tumor is it? In case you are sure that those cells are not cancer you can pass to SCEVAN all the cells that you think are confidently normal as parameter norm_cells to get a better classification.

Regards.

Thank you for your suggestion. The heatmap certainly looks like it. It is lung cancer. I can designate these cells as normal cells to try to define malignant cell. However, does this indicate that some normal cell types may also have aneuploid at certain sites on the chromosome. Or it is because of the 10X scRNAseq data. Or is this something else? This is really interesting.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants