Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
-
Has reproduction · 48
Comparative analysis of molecular signatures reveals a hybrid approach in breast cancer: Combining the Nottingham Prognostic Index with gene expressions into a hybrid signature.
PMID 35143511 · PMC8830616 · PloS one · 2022 · 8 claims · 6 setups
A hybrid signature combining the Nottingham Prognostic Index with SIS-selected gene expressions can be built in a data-driven fashion (NPI treated as a gene expression during feature selection).
-
Full-text index only
Systems biology in human health and disease.
PMID 17893698 · PMC2013921 · Molecular systems biology · 2007 · 8 claims · 5 setups
High-throughput quantitative proteomics of signaling networks (e.g., HER2 overexpression) can be correlated with biological responses like proliferation and migration to better understand pathways deregulated in cancer.
-
Full-text index only
Correlations of EGFR mutations and increases in EGFR and HER2 copy number to gefitinib response in a retrospective analysis of lung cancer patients.
PMID 17626639 · PMC1952070 · BMC cancer · 2007 · 7 claims · 4 setups
EGFR mutations (exon 19 deletions, exon 21 L858R) did not correlate with gefitinib response in this cohort
-
Full-text index only
PIK3CA-activating mutations and chemotherapy sensitivity in stage II-III breast cancer.
PMID 18371219 · PMC2397526 · Breast cancer research : BCR · 2008 · 7 claims · 4 setups
PIK3CA mutations are not associated with altered sensitivity to preoperative anthracycline-based or taxane-based chemotherapy in ER-positive and ER-negative breast tumors
-
Full-text index only
Interpretation of genomic data: questions and answers.
PMID 18582627 · PMC2528831 · Seminars in hematology · 2008 · 8 claims · 6 setups
The main challenge in using genomic technology in cancer research is not managing the volume of data but the proper design, analysis, and reporting of studies.