Evidence map›Paper›PMID 30078747›Full record

ArticleCancer cell2018

Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients.

André Kahles, Kjong-Van Lehmann, Nora C Toussaint, Matthias Hüser, Stefan G Stark, Timo Sachsenberg, Oliver Stegle, Oliver Kohlbacher, Chris Sander, Cancer Genome Atlas Research Network and 1 more

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Cancer cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06315868 (Breast Cancer Subtype Characterization Through Patient's Derived Organoids".), which is not on this map. Cited by 623 papers.

0numbers the graph read from it
0cells of the map it votes in
623citing papers in PubMed
38.0field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

NCT06315868 recruitingnot on this mapstarted 2023, after this paper: background citation

Breast Cancer Subtype Characterization Through Patient's Derived Organoids". (BCinsightPDO)

Typeobservational_patient_registrySponsorFondazione Policlinico Universitario Agostino Gemelli IRCCSRan2023 to 2027Enrolled306ConditionsBreast Cancer, Organoids
3 · Its place in the literature

Who cites it

623 citing papers in PubMed, 943 citations in OpenAlex.

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  17. Phase I Study of Rogocekib in Patients with Advanced, Relapsed, or Refractory Malignant Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
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563 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 4 countries.

André KahlesETH Zurich, Department of Computer Science, Zurich, Switzerland; Memorial Sloan Kettering Cancer Center, Computational Biology Department, New York, USA; University Hospital Zurich, Biomedical Informatics Research, Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, Zurich, Switzerland.
Kjong-Van LehmannETH Zurich, Department of Computer Science, Zurich, Switzerland; Memorial Sloan Kettering Cancer Center, Computational Biology Department, New York, USA; University Hospital Zurich, Biomedical Informatics Research, Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, Zurich, Switzerland.
Nora C ToussaintETH Zurich, NEXUS Personalized Health Technologies, Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, Zurich, Switzerland.
Matthias HüserETH Zurich, Department of Computer Science, Zurich, Switzerland; University Hospital Zurich, Biomedical Informatics Research, Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, Zurich, Switzerland.
Stefan G StarkETH Zurich, Department of Computer Science, Zurich, Switzerland; Memorial Sloan Kettering Cancer Center, Computational Biology Department, New York, USA; University Hospital Zurich, Biomedical Informatics Research, Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, Zurich, Switzerland.
Timo SachsenbergUniversity of Tübingen, Department of Computer Science, Tübingen, Germany.
Oliver StegleEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK.
Oliver KohlbacherUniversity of Tübingen, Department of Computer Science, Tübingen, Germany; Center for Bioinformatics, University of Tübingen, Tübingen, Germany; Quantitative Biology Center, University of Tübingen, Tübingen, Germany; Biomolecular Interactions, Max Planck Institute for Developmental Biology, Tübingen, Germany; Institute for Translational Bioinformatics, University Medical Center, Tübingen, Germany.
Chris SanderDana-Farber Cancer Institute, cBio Center, Department of Biostatistics and Computational Biology, Boston, MA, USA; Harvard Medical School, CompBio Collaboratory, Department of Cell Biology, Boston, USA.
Cancer Genome Atlas Research Network
Gunnar RätschETH Zurich, Department of Computer Science, Zurich, Switzerland; Memorial Sloan Kettering Cancer Center, Computational Biology Department, New York, USA; University Hospital Zurich, Biomedical Informatics Research, Zurich, Switzerland; ETH Zurich, Department of Biology, Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, Zurich, Switzerland. Electronic address: gunnar.ratsch@ratschlab.org.
SIB Swiss Institute of Bioinformatics · CHMax Planck Institute for Developmental Biology · DEBoston University · USEuropean Bioinformatics Institute · GBDana-Farber Cancer Institute · USETH Zurich · CHUniversity of Tübingen · DE

Funding

Evaluating ADGRB3 as a tumor suppressor epigenetically silenced in WNT medulloblastomaR01CA235162 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI VAN MEIR, ERWIN G. · 2019 to 2024
$2.3M
Mechanisms underlying BAI1/ADGRB1 negative regulation of glioblastoma mesenchymal transition and invasion.R01NS117666 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ERWIN G. VAN MEIR · 2021 to 2026
$2.2M
Targeting Mechanisms of Medulloblastoma FormationR01NS096236 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI VAN MEIR, ERWIN G. · 2016 to 2020
$1.9M
Aurora-A is a novel therapeutic target in glioblastomaR01NS081125 · NINDS · UNIVERSITY OF LOUISVILLE · PI LEHMAN, NORMAN · 2014 to 2019
$1.8M
Control of Genomic Stability by Emil and SecruinK08NS045077 · NINDS · STANFORD UNIVERSITY · PI LEHMAN, NORMAN · 2003 to 2007
$843k
NCI NIH HHS R01 CA235162NINDS NIH HHS K08 NS045077NINDS NIH HHS R01 NS081125NINDS NIH HHS R01 NS096236NINDS NIH HHS R01 NS117666
6 · The paper itself

Abstract

Our comprehensive analysis of alternative splicing across 32 The Cancer Genome Atlas cancer types from 8,705 patients detects alternative splicing events and tumor variants by reanalyzing RNA and whole-exome sequencing data. Tumors have up to 30% more alternative splicing events than normal samples. Association analysis of somatic variants with alternative splicing events confirmed known trans associations with variants in SF3B1 and U2AF1 and identified additional trans-acting variants (e.g., TADA1, PPP2R1A). Many tumors have thousands of alternative splicing events not detectable in normal samples; on average, we identified ≈930 exon-exon junctions ("neojunctions") in tumors not typically found in GTEx normals. From Clinical Proteomic Tumor Analysis Consortium data available for breast and ovarian tumor samples, we confirmed ≈1.7 neojunction- and ≈0.6 single nucleotide variant-derived peptides per tumor sample that are also predicted major histocompatibility complex-I binders ("putative neoantigens").

Indexed as

Alternative SplicingExome SequencingHumansNeoplasmsPolymorphism, Single NucleotideQuantitative Trait LociSequence Analysis, RNAalternative splicingcancerCPTACexomeGTEximmunoeditingimmunotherapyMS proteomicsneoantigensRNA-seqsplicing QTLTCGATCGA Pan-Cancer Atlastumor-specific splicing

Identifiers

PMID30078747
PMCPMC9844097
OpenAlexW2885227878

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.