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.

Elife
|January 20, 2017
PubMed

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.