Evidence map›Paper›PMID 30573692›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2019

Molecular Classification of Lymph Node Metastases Subtypes Predict for Survival in Head and Neck Cancer.

Lei Huang, Odile David, Robert J Cabay, Klara Valyi-Nagy, Virgilia Macias, Rong Zhong, Barry Wenig, Lawrence Feldman, Ralph Weichselbaum, Michael T Spiotto

Abstract readValidation Study
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Metastatic disease in head & neck oncology.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2020
    Review
  16. Review
  17. An Inflammation-Immunity Classifier of 11 Chemokines for Prediction of Overall Survival in Head and Neck Squamous Cell Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  18. Article
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.

Lei Huang *Center for Research Informatics, University of Chicago, Chicago, Illinois.
Odile David *Department of Pathology, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
Robert J Cabay *Department of Pathology, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
Klara Valyi-Nagy *Department of Pathology, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
Virgilia MaciasDepartment of Pathology, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
Rong ZhongDepartment of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, Illinois.
Barry WenigDepartment of Otolaryngology-Head and Neck Surgery, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
Lawrence FeldmanDepartment of Medicine, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
Ralph WeichselbaumDepartment of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, Illinois.ORCID 0000-0002-5643-8939
Michael T SpiottoDepartment of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, Illinois. mspiotto@radonc.uchicago.edu.

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI CHIEN-MIN KAO · 1985 to 2026
$122.1M
The Institute for Translational MedicineUL1TR002389 · NCATS · UNIVERSITY OF CHICAGO · PI Joshua J Jacobs, DAVID O MELTZER · 2017 to 2026
$71.6M
Viral Replication Pathways During Oral Tumorigenesis and Response to TherapyR01DE027445 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SPIOTTO, MICHAEL T · 2018 to 2022
$1.9M
NCATS NIH HHS UL1 TR002389NCI NIH HHS P30 CA014599NIDCR NIH HHS R01 DE027445
6 · The paper itself

Abstract

purposeIn advanced stage head and neck squamous cell cancers (HNSCC), approximately half of the patients with lymph node metastases (LNM) are not cured. Given the heterogeneous outcomes in these patients, we profiled the expression patterns of LNMs to identify the biological factors associated with patient outcomes.

resultsIntegrative clustering identified three distinct LNM subtypes: (i) an immune subtype (Group 1), (ii) an invasive subtype (Group 2), and (iii) a metabolic/proliferative subtype (Group 3). Group 2 subtype was associated with significantly worse locoregional control and survival. LNM-specific subtypes were not observed in matched primary tumor specimens. In HNSCCs, breast cancers, and melanomas, a 73-gene classifier identified similar Group 2 LNM subtypes that were associated with worse disease control and survival only when applied to lymph node sites, but not when applied to other primary tumors or metastatic sites. Similarly, previously proposed prognostic classifiers better distinguished patients with worse outcomes when applied to the transcriptional profiles of LNMs, but not the profiles of primary tumors.

conclusionsThe transcriptional profiles of LNMs better predict outcomes than transcriptional profiles of primary tumors. The LNMs display site-specific subtypes associated with worse disease control and survival across multiple cancer types.

Indexed as

Biomarkers, TumorDisease-Free SurvivalFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHead and Neck NeoplasmsHumansKaplan-Meier EstimateLymphatic MetastasisLymph NodesMaleMembrane ProteinsMicroRNAsMiddle AgedNeoplasm Recurrence, LocalPrognosisBiomarkers, TumorMembrane ProteinsMicroRNAsMRAP protein, human

Identifiers

PMID30573692
PMCPMC6420850

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.