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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Colorectal cancer genomics: evidence for multiple genotypes which influence survival.
PMID 11720434 · PMC2363933 · British journal of cancer · 2001 · 6 claims · 3 setups
Genetic grade (total number of CGH-detected gains+losses) varies greatly among Dukes' C CRC tumours and shows a multimodal (non-normal) distribution
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Genetic testing among high-risk individuals in families with hereditary nonpolyposis colorectal cancer.
PMID 14970868 · PMC2410159 · British journal of cancer · 2004 · 7 claims · 5 setups
A large fraction of high-risk individuals in mutation-positive HNPCC families does not undergo genetic testing despite its benefits.
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Genetic and epigenetic alterations of Ras signalling pathway in colorectal neoplasia: analysis based on tumour clinicopathological features.
PMID 17923875 · PMC2360240 · British journal of cancer · 2007 · 8 claims · 4 setups
K-ras/BRAF mutations and RASSF2 methylation frequently co-occur in colorectal adenomas, suggesting synergistic cooperation
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The role of MYH and microsatellite instability in the development of sporadic colorectal cancer.
PMID 17031395 · PMC2360566 · British journal of cancer · 2006 · 8 claims · 8 setups
MYH-associated colorectal cancers can develop through either a chromosomal instability pathway or a microsatellite instability (MSI) pathway, contradicting the assumption that these are mutually exclusive.
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Identification of HNPCC by molecular analysis of colorectal and endometrial tumors.
PMID 15528786 · PMC3839268 · Disease markers · 2004 · 8 claims · 5 setups
The Bethesda criteria, with a few modifications, are appropriate to identify families eligible for MMR mutation genetic testing
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Genomic and epigenetic instability in colorectal cancer pathogenesis.
PMID 18773902 · PMC2866182 · Gastroenterology · 2008 · 8 claims · 7 setups
Genomic instability (CIN or MSI) is a key early molecular step in colorectal tumorigenesis that may initiate rather than merely accompany the adenoma-carcinoma sequence
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Managing incidental findings in human subjects research: analysis and recommendations.
PMID 18547191 · PMC2575242 · The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2008 · 8 claims · 5 setups
Little guidance currently exists on managing research IFs, and no consensus exists on the best approach across genetic/genomic and imaging research domains.
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MSI test to distinguish between HNPCC and other predisposing syndromes -- of value in tailored surveillance.
PMID 15528791 · PMC3839337 · Disease markers · 2004 · 8 claims · 5 setups
MSI (or immunohistochemistry) testing applied to a pre-selected patient with a family history or early-onset colorectal cancer can distinguish HNPCC from unknown non-HNPCC colorectal cancer syndromes.
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Convergence of mutation and epigenetic alterations identifies common genes in cancer that predict for poor prognosis.
PMID 18507500 · PMC2429944 · PLoS medicine · 2008 · 7 claims · 7 setups
At least 36 of the 189 newly mutated CAN genes are targets of promoter CpG island hypermethylation, often in both colon and breast cancer cell lines
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Has reproduction · 64
Characterizing Neutrophil Subtypes in Cancer Using scRNA Sequencing Demonstrates the Importance of IL1β/CXCR2 Axis in Generation of Metastasis-specific Neutrophils.
PMID 38358352 · PMC10903300 · Cancer research communications · 2024 · 8 claims · 7 setups
Two main neutrophil subtypes exist in primary tumors: an activated subtype sharing transcriptomic signatures with healthy neutrophils, and a tumor-specific subtype.
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Has reproduction · 68
Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients.
PMID 35012625 · PMC8743438 · Genome biology · 2022 · 7 claims · 8 setups
GENEVA is a semi-automated, study-design-agnostic framework that mines large-scale public RNA-seq data to identify conditions modulating a gene of interest's expression