Article in Head & neck, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Bharat A PanugantiDepartment of Otolaryngology - Head and Neck Surgery, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Christine CaricoThe University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA.
Harishanker JeyarajanDepartment of Otolaryngology - Head and Neck Surgery, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Mitchell FlaggUniversity of California-San Diego School of Medicine, San Diego, California, USA.
Pablo TamayoUniversity of California-San Diego School of Medicine, San Diego, California, USA.
Funding
VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jesse Nodora · 1985 to 2026
$124.9M
The Dana-Farber Cancer Institute Cancer Target Discovery and Development CenterU01CA176058 · NCI · DANA-FARBER CANCER INST · PI HAHN, WILLIAM C. · 2013 to 2021
$7.8M
GENOMIC ANALYSIS OF MEDULLOBLASTOMASR01CA109467 · NCI · CHILDREN'S HOSPITAL BOSTON · PI MESIROV, JILL P., POMEROY, SCOTT LOREN · 2004 to 2015
$7.3M
Knowledge-based Gene Expression Analysis for Biomedical and Cancer ResearchR01CA121941 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P. · 2006 to 2016
$5.1M
A Rational Systematic Approach to Find Combinations of Pharmacologic and Immune Therapies that Target Identifiable Oncogenic StatesU01CA217885 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COHEN, EZRA, KAUFMAN, DAN S. · 2017 to 2021
$5.1M
GenePattern and GenePattern Notebook: Integrative 'Omic Analysis for Cancer ResearchU24CA248457 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P., TAMAYO, PABLO · 2020 to 2024
$4.6M
Supporting and evolving Gene Set Enrichment Analysis and the Molecular Signatures Database for cancer researchU24CA220341 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P., TAMAYO, PABLO · 2018 to 2022
$3.4M
Co-targeting the HER3 oncogenic signaling circuitry and PD-1 as a novel multimodal precision immunotherapy for HNSCCR01CA247551 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GUTKIND, JORGE SILVIO · 2020 to 2024
$2.5M
Targeting the EGFR-PI3K/mTOR Signaling Circuitry: A Network-Based Approach for Oral Cancer Precision TherapyR01DE026870 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GUTKIND, JORGE SILVIO · 2018 to 2022
$2.3M
Targeting Drug-Resistant Cancer Stem Cell Niches of Gastrointestinal Stromal TumorR01CA226803 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SICKLICK, JASON KEITH · 2019 to 2023
$2.1M
Molecular Signatures to Characterize the Oncogenic State of Individual TumorsR01CA154480 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TAMAYO, PABLO · 2011 to 2015
backgroundThere is a paucity of data concerning molecular heterogeneity among glottic squamous cell carcinoma, and the clinical implications thereof.
methodsData corresponding to glottic squamous cell carcinoma were derived from The Cancer Genome Atlas. The Onco-GPS computational methodology was levied to derive four patterns of transcriptional activity and three functional subtypes of glottic cancer.
resultsThirty glottic cancer samples stratified to three distinct oncogenic states (S0-S2) based on a Onco-GPS model containing four transcriptional components (F0-F3). Membership in S2 and association with transcriptional component F0 conveyed an invasive phenotype, with transcriptional activity strongly reflecting EMT programming (including TGF-B and NF-KB signaling). S2 membership also correlated with inferior disease-specific survival (HR 9.027, 95% CI 1.021-79.767), and higher incidences of extracapsular spread and perineural invasion.
conclusionsWe present a functional taxonomy of glottic cancer, with subtypes demonstrating differential upregulation of canonical oncogenic networks and survival implications.
Indexed as
Carcinoma, Squamous CellHead and Neck NeoplasmsLaryngeal NeoplasmsTongue NeoplasmsGlottisHumansNeoplasm StagingSquamous Cell Carcinoma of Head and Neckepithelial-to-mesenchymal transitionglottic squamous cell carcinomamolecular determinants of clinical outcomessurvival differences in glottic cancertranscriptional subtypes
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.
Transcriptional subtypes of glottic cancer characterized by differential activation of canonical oncogenic programming. · full record | OpenQuestion