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).
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CHD5, a tumor suppressor gene deleted from 1p36.31 in neuroblastomas.
PMID 18577749 · PMC2483574 · Journal of the National Cancer Institute · 2008 · 7 claims · 8 setups
CHD5 promoter is highly methylated in neuroblastoma cell lines with 1p deletion and absent CHD5 expression (NLF, IMR5)
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Has reproduction · 83
Multimodal data integration for biologically-relevant artificial intelligence to guide adjuvant chemotherapy in stage II colorectal cancer.
PMID 40472802 · PMC12171563 · EBioMedicine · 2025 · 6 claims · 7 setups
AI-derived radiological clustering identifies stage II CRC patients with significantly different survival benefit from adjuvant chemotherapy
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Has reproduction · 90
Dynamic interaction of MYC enhancer RNA with YEATS2 protein regulates MYC gene transcription in pancreatic cancer.
PMID 40216980 · PMC12117045 · EMBO reports · 2025 · 8 claims · 11 setups
MYC eRNAs (notably MYC-490-kb) are transcribed from the MYC super-enhancer and are upregulated by chronic TNF-α stimulation specifically in pancreatic cancer cells, not normal pancreatic epithelial cells
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Indirect genomic effects on survival from gene expression data.
PMID 18358079 · PMC2397510 · Genome biology · 2008 · 7 claims · 6 setups
A novel methodology (dynamic path analysis combined with additive hazard survival regression) can detect and quantify indirect effects of gene expression on survival mediated through transcription factor target genes.
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Therapy effect of either paclitaxel or cyclophosphamide combination treatment in patients with epithelial ovarian cancer and relation to TP53 gene status.
PMID 9703286 · PMC2063030 · British journal of cancer · 1998 · 6 claims · 4 setups
Paclitaxel/cisplatin therapy produces a higher positive response rate than cyclophosphamide/cisplatin therapy in advanced ovarian cancer
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Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays.
PMID 16549007 · PMC1544357 · BMC bioinformatics · 2006 · 7 claims · 2 setups
A methodology combining Cox proportional hazards models with a compound covariate, cross-validated log partial likelihood (ACVL) for predictive accuracy, and permutation-based significance testing can identify an optimal subset of significant genes for survival prediction
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Has reproduction · 32
Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning.
PMID 35117753 · PMC8799101 · Translational cancer research · 2020 · 8 claims · 5 setups
Naïve Bayes using a 22-gene panel is the best-performing and most stable machine learning model for predicting LUAD survival time (>3 vs <3 years)
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Has reproduction · 79
Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx.
PMID 34254998 · PMC8575036 · Briefings in bioinformatics · 2021 · 6 claims · 4 setups
ParProx implements latent group lasso penalized regression (overlapping and non-overlapping groups) for survival (Cox) and classification (logistic) analysis of omics data.
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Has reproduction · 59
Identifying Molecular Subtypes and 6-Gene Prognostic Signature Based on Hypoxia for Optimizing Targeted Therapies in Non-Small Cell Lung Cancer.
PMID 35509605 · PMC9058021 · International journal of general medicine · 2022 · 8 claims · 8 setups
NSCLC samples can be classified into two molecular subtypes (C1 and C2) based on hypoxia-related gene expression via consensus clustering
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Has reproduction · 96
Hypoxia-associated genes as predictors of outcomes in gastric cancer: a genomic approach.
PMID 40129974 · PMC11931070 · Frontiers in immunology · 2025 · 8 claims · 8 setups
A prognostic model built from five H1-specific hypoxia-associated transcription factors (EHF, EIF1AD, GLA, KEAP1, MAGED2) predicts overall survival in STAD, with high-risk patients showing significantly worse OS.
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Has reproduction · 71
Interpretable artificial intelligence based on immunoregulation-related genes predicts prognosis and immunotherapy response in lung adenocarcinoma.
PMID 41048340 · PMC12491262 · Frontiers in bioinformatics · 2025 · 8 claims · 8 setups
IRG expression pattern clusters LUAD patients into groups with significantly different survival outcomes and immune cell infiltration
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p53 mutation is a poor prognostic indicator for survival in patients with hepatocellular carcinoma undergoing surgical tumour ablation.
PMID 9514057 · PMC2149958 · British journal of cancer · 1998 · 8 claims · 6 setups
p53 mutations were found in 8 of 12 HCCs with cirrhosis due to viral hepatitis and in both patients with sarcomatoid change
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Gefitinib for non-small-cell lung cancer patients with epidermal growth factor receptor gene mutations screened by peptide nucleic acid-locked nucleic acid PCR clamp.
PMID 17106442 · PMC2360739 · British journal of cancer · 2006 · 5 claims · 4 setups
NSCLC patients with EGFR mutations detected by PNA-LNA PCR clamp show significantly higher response rates and longer survival with gefitinib than EGFR wild-type patients.
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Bayesian survival analysis in genetic association studies.
PMID 18617538 · PMC2530885 · Bioinformatics (Oxford, England) · 2008 · 7 claims · 5 setups
A novel Bayesian method (BETA-Surv) extends prior case-control haplotype-clustering work to censored survival outcomes by clustering haplotypes via gene tree/perfect phylogeny topology and relative mutation age.
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Pre-operative urinary cathepsin D is associated with survival in patients with renal cell carcinoma.
PMID 19789534 · PMC2768081 · British journal of cancer · 2009 · 8 claims · 7 setups
Cathepsin D, identified via comparative 2D PAGE of conditioned media from RCC cell lines vs normal renal cultures, is a candidate secreted biomarker of RCC
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Has reproduction
Artificial Intelligence Meets Whole Slide Images: Deep Learning Model Shapes an Immune-Hot Tumor and Guides Precision Therapy in Bladder Cancer.
PMID 36245985 · PMC9553530 · Journal of oncology · 2022 · 8 claims · 8 setups
A three-class WSI cluster (C0/C1/C2) derived via mini batch K-means clustering on Inception V3-extracted image features is significantly associated with overall survival and is an independent prognostic predictor in BLCA.
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Has reproduction · 83
Multiomic machine learning on lactylation for molecular typing and prognosis of lung adenocarcinoma.
PMID 39856156 · PMC11760357 · Scientific reports · 2025 · 8 claims · 8 setups
Ten multiomics clustering algorithms identify two distinct lactylation cancer subtypes (CS1 and CS2) in LUAD
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Prognostic significance of p53 and ras gene abnormalities in lung adenocarcinoma patients with stage I disease after curative resection.
PMID 7852188 · PMC5919395 · Japanese journal of cancer research : Gann · 1994 · 6 claims · 5 setups
Presence of p53 gene abnormalities is associated with shorter disease-free survival in stage I lung adenocarcinoma
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Association of p53 gene mutations with short survival in pancreatic adenocarcinoma.
PMID 7730141 · PMC5920762 · Japanese journal of cancer research : Gann · 1995 · 8 claims · 4 setups
p53 gene mutations were detected in 16 of 37 (43%) pancreatic adenocarcinomas by SSCP and direct sequencing
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TP53 mutations in ovarian carcinomas from sporadic cases and carriers of two distinct BRCA1 founder mutations; relation to age at diagnosis and survival.
PMID 16229746 · PMC1276789 · BMC cancer · 2005 · 8 claims · 4 setups
Survival for BRCA1-familial ovarian cancer cases with TP53 mutations was not significantly different from familial cases without TP53 mutations (p=0.25, RR=1.64)