ArticleCancer cell2018
Systematic Functional Annotation of Somatic Mutations in Cancer.
Article in Cancer cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 195 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
195 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Trial
- Response to Anti-EGFR Therapy in Patients with BRAF non-V600-Mutant Metastatic Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019Trial
- Human papillomavirus and the landscape of secondary genetic alterations in oral cancers.Genome research · 2019Trial
- Variant-Specific Landscape of Mutual Exclusivity Among BRAF, EGFR, and KRAS Oncogenes Reveals Overlap With Functionally Antagonistic Mutant Pairs.International journal of cancer · 2026Article
- Article
- eSIG-Net: an interaction language model that decodes the protein code of single mutations.Nature methods · 2026Article
- Unveiling the proteomic landscape: Exploring differentially expressed proteins in patients with jaw cysts.Medicine · 2026Article
- A tumor-intrinsic WNT-inhibitory NOTUM program drives immune resistance in microsatellite stable colorectal cancer.Cell reports. Medicine · 2026Article
- Dual CAR-NK cells targeting PD-L1 and ErbB2 (HER2) exhibit cooperative CAR signaling and counteract solid tumor heterogeneity.Journal of experimental & clinical cancer research : CR · 2026Article
- Loss of Gαq reshapes fibroblast traits and drives tumor-stroma remodeling in oral cancer progression.EMBO reports · 2026Article
- Phenotypic prediction of missense variants via deep contrastive learning.Nature biomedical engineering · 2026Article
- Proteoform medicine: characterizing and targeting protein forms in human disease.Nature reviews. Genetics · 2026Review
- eSIG-Net: Accurate prediction of single-mutation induced perturbations on protein interactions using a language model.bioRxiv : the preprint server for biology · 2026Article
- Article
- Targeting the FGF19/FGFR4 positive feedback loop to disrupt ERK-mediated tumor progression in head and neck cancer.Journal of translational medicine · 2026Article
- Pooled single-cell screen in colorectal cancer defines transcriptional modules linked to oncogenes.Molecular systems biology · 2026Article
- Pan-cancer inference and validation of hypermorphic, hypomorphic and neomorphic mutations.Nature genetics · 2026Article
- Prospective tumour mutation burden and neoantigen profiling predicts immunotherapy response in metastatic melanoma.NPJ precision oncology · 2026Article
- Sinonasal renal cell-like adenocarcinoma: a case report and literature review.Diagnostic pathology · 2026Review
135 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
40 authors.
Funding
Abstract
The functional impact of the vast majority of cancer somatic mutations remains unknown, representing a critical knowledge gap for implementing precision oncology. Here, we report the development of a moderate-throughput functional genomic platform consisting of efficient mutant generation, sensitive viability assays using two growth factor-dependent cell models, and functional proteomic profiling of signaling effects for select aberrations. We apply the platform to annotate >1,000 genomic aberrations, including gene amplifications, point mutations, indels, and gene fusions, potentially doubling the number of driver mutations characterized in clinically actionable genes. Further, the platform is sufficiently sensitive to identify weak drivers. Our data are accessible through a user-friendly, public data portal. Our study will facilitate biomarker discovery, prediction algorithm improvement, and drug development.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.