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Updated: Mar 8, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
Replication Study: Discovery and preclinical validation of drug indications using compendia of public gene expression
Irawati Kandela1, Fraser Aird1,
1Developmental Therapeutics Core, Northwestern University, Evanston, United States.
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. 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.
Insights
This study replicated cancer drug experiments, finding cimetidine and doxorubicin showed statistically significant tumor inhibition in A549 lung cancer models via meta-analysis. Cimetidine did not significantly affect ACHN renal cancer models.
Area of Science:
- Oncology
- Pharmacology
- Cancer Biology
Background:
- The Reproducibility Project: Cancer Biology aims to verify findings from key cancer research papers.
- Previous work by Sirota et al. (2011) explored drug indications using gene expression data.
Purpose of the Study:
- To replicate specific experiments from Sirota et al. (2011) concerning drug efficacy in cancer xenograft models.
- To assess the reproducibility of cimetidine and doxorubicin effects on tumor growth.
Main Methods:
- Xenograft models using A549 lung adenocarcinoma and ACHN renal cell carcinoma cells were utilized.
- Tumor volumes were measured following treatment with cimetidine and doxorubicin compared to vehicle controls.
- Random effects meta-analyses were performed on the experimental results.
Main Results:
- Cimetidine showed a non-significant decrease in A549 tumor volume, but meta-analysis indicated a statistically significant inhibitory effect.
- Doxorubicin did not yield a statistically significant difference in A549 tumor volume, yet meta-analysis revealed a significant inhibitory effect.
- Cimetidine treatment did not significantly impact ACHN tumor volume, consistent with the original study.
Conclusions:
- Meta-analysis confirmed statistically significant anti-cancer effects for cimetidine and doxorubicin against A549 tumors, enhancing the reproducibility of the original findings.
- The efficacy of cimetidine in ACHN models was not statistically significant, aligning with prior observations.
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