Evidence map›Paper›PMID 37978395›Full record

SynthesisGenome medicine2023

Loss of p53-DREAM-mediated repression of cell cycle genes as a driver of lymph node metastasis in head and neck cancer.

Kevin Brennan, Almudena Espín-Pérez, Serena Chang, Nikita Bedi, Saumyaa Saumyaa, June Ho Shin, Sylvia K Plevritis, Olivier Gevaert, John B Sunwoo, Andrew J Gentles

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Genome medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 9% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Kevin BrennanStanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, USA. kevin.brennan@cruk.manchester.ac.uk.ORCID 0000-0001-9018-9852
Almudena Espín-PérezStanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, USA.
Serena ChangDepartment of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, USA.
Nikita BediDepartment of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, USA.
Saumyaa SaumyaaDepartment of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, USA.
June Ho ShinDepartment of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, USA.
Sylvia K PlevritisDepartment of Biomedical Data Science, Stanford University, Stanford, CA, USA.
Olivier GevaertStanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, USA.
John B SunwooDepartment of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, USA.
Andrew J GentlesStanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, USA. andrewg@stanford.edu.
Stanford University · USStanford Medicine · US

Funding

Spatial-Genomic Integrative Multi-Species Analysis of Lymph Node MetastasisU54CA209971 · NCI · STANFORD UNIVERSITY · PI NOLAN, GARRY P, PLEVRITIS, SYLVIA KATINA · 2016 to 2021
$11.0M
Systems Biology of Tumor-Immune-Stromal Interactions in Metastatic ProgressionU54CA274511 · NCI · STANFORD UNIVERSITY · PI EDGAR G. ENGLEMAN, SYLVIA KATINA PLEVRITIS · 2023 to 2026
$9.5M
Impact of mutational order on molecular mechanisms of oncogenesisR01CA260711 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Eirini Papapetrou · 2022 to 2026
$3.2M
Computational analysis of tumor ecosystems and their regulation and association with outcomesR01CA276828 · NCI · STANFORD UNIVERSITY · PI Andrew J. Gentles · 2023 to 2026
$2.4M
NCI NIH HHS R01 CA260711NCI NIH HHS R01 CA276828NCI NIH HHS U54 CA209971NCI NIH HHS U54 CA274511
6 · The paper itself

Abstract

backgroundThe prognosis for patients with head and neck cancer (HNC) is poor and has improved little in recent decades, partially due to lack of therapeutic options. To identify effective therapeutic targets, we sought to identify molecular pathways that drive metastasis and HNC progression, through large-scale systematic analyses of transcriptomic data.

methodsWe performed meta-analysis across 29 gene expression studies including 2074 primary HNC biopsies to identify genes and transcriptional pathways associated with survival and lymph node metastasis (LNM). To understand the biological roles of these genes in HNC, we identified their associated cancer pathways, as well as the cell types that express them within HNC tumor microenvironments, by integrating single-cell RNA-seq and bulk RNA-seq from sorted cell populations.

resultsPatient survival-associated genes were heterogenous and included drivers of diverse tumor biological processes: these included tumor-intrinsic processes such as epithelial dedifferentiation and epithelial to mesenchymal transition, as well as tumor microenvironmental factors such as T cell-mediated immunity and cancer-associated fibroblast activity. Unexpectedly, LNM-associated genes were almost universally associated with epithelial dedifferentiation within malignant cells. Genes negatively associated with LNM consisted of regulators of squamous epithelial differentiation that are expressed within well-differentiated malignant cells, while those positively associated with LNM represented cell cycle regulators that are normally repressed by the p53-DREAM pathway. These pro-LNM genes are overexpressed in proliferating malignant cells of TP53 mutated and HPV + ve HNCs and are strongly associated with stemness, suggesting that they represent markers of pre-metastatic cancer stem-like cells. LNM-associated genes are deregulated in high-grade oral precancerous lesions, and deregulated further in primary HNCs with advancing tumor grade and deregulated further still in lymph node metastases.

conclusionsIn HNC, patient survival is affected by multiple biological processes and is strongly influenced by the tumor immune and stromal microenvironments. In contrast, LNM appears to be driven primarily by malignant cell plasticity, characterized by epithelial dedifferentiation coupled with EMT-independent proliferation and stemness. Our findings postulate that LNM is initially caused by loss of p53-DREAM-mediated repression of cell cycle genes during early tumorigenesis.

Indexed as

Genes, cdcHead and Neck NeoplasmsEpithelial-Mesenchymal TransitionHumansKv Channel-Interacting ProteinsLymphatic MetastasisRepressor ProteinsTumor MicroenvironmentTumor Suppressor Protein p53KCNIP3 protein, humanKv Channel-Interacting ProteinsRepressor ProteinsTP53 protein, humanTumor Suppressor Protein p53Cell cycleCellular plasticityHead and neck cancerLymph node metastasisMeta-analysisp53-DREAM pathwaySingle-cell RNA-SeqTranscriptomicsTumor microenvironment

Identifiers

PMID37978395
PMCPMC10656821
OpenAlexW4388754952

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.