Main content

Wiki | home Discussion

Home

Toggle view:
View
Compare

Menu

Loading wiki pages...

View
Wiki Version:

Replication Study: Discovery and Preclinical Validation of Drug Indications Using Compendia of Public Gene Expression Data


**Abstract:**

In 2015, as part of the Reproducibility Project: Cancer Biology, we published a Registered Report (Kandela et al., 2015), that described how we intended to replicate selected experiments from the paper “Discovery and Preclinical Validation of Drug Indications Using Compendia of Public Gene Expression Data“ (Sirota et al., 2011). Here we report the results of those experiments. We found that cimetidine treatment in a xenograft model using A549 lung adenocarcinoma cells resulted in decreased tumor volume compared to vehicle control; however, while the effect was in the same direction as the original study (Figure 4C; Sirota et al., 2011), it was not statistically significant. Whereas, cimetidine treatment in a xenograft model using ACHN renal cell carcinoma cells did not differ from vehicle control treatment, similar to the original study (Supplemental Figure 1; Sirota et al., 2011). Doxorubicin treatment in a xenograft model using A549 lung adenocarcinoma cells did not result in a statistically significant difference compared to vehicle control despite tumor volume being reduced to levels similar to those reported in the original study (Figure 4C; Sirota et al., 2011). Finally, we report a random effects meta-analysis for each result. These meta-analyses show that the inhibition of A549 derived tumors by cimetidine resulted in a statistically significant effect, as did the inhibition of A549 derived tumors by doxorubicin. The effect of cimetidine on ACHN derived tumors was not statistically significant, as predicted.


Contents

Reports: Read the Replication Study, or view the preprint versions.

To reproduce the Replication Study manuscript text run this in R Studio (note: downloads R markdown file directly from osf.io):

library(httr)
library(rmarkdown)
GET("https://osf.io/ywphk/?action=download", write_disk("Replication_Study_21.Rmd", overwrite = T))
render("Replication_Study_21.Rmd", output_format = "word_document")

Also, explore the [Registered Report][11] and materials related to the Registered Report [here][12].
**Experiments replicated:** Reproduce and explore the figures, analyses, data, and methods generated in this replication attempt.
**Meta-analyses:** As a measure of evaluating reproducibility a meta-analysis of each effect was performed. The forest plots, analyses, and data are available [here][14].
Questions about the project can be directed to [contact+rpcb@cos.io][15].
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.