Evidence map›Paper›PMID 34307352›Full record

ArticleFrontiers in cell and developmental biology2021

Metabolic and Immunological Subtypes of Esophageal Cancer Reveal Potential Therapeutic Opportunities.

Ryan J King, Fang Qiu, Fang Yu, Pankaj K Singh

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Ryan J KingThe Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE, United States.
Fang QiuDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, NE, United States.
Fang YuDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, NE, United States.
Pankaj K SinghThe Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE, United States.
University of Nebraska Medical Center · US

Funding

Tissue CoreP50CA127297 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI HOLLINGSWORTH, MICHAEL A. · 2008 to 2018
$17.1M
Targeting Tumor-Stromal Metabolic Cross-Talk in Pancreatic CancerR01CA163649 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Pankaj Kumar Singh · 2012 to 2026
$5.4M
Targeting the Metabolic Basis of Cachexia in Pancreatic CancerR01CA210439 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI SINGH, PANKAJ KUMAR · 2017 to 2021
$2.6M
NCI NIH HHS P50 CA127297NCI NIH HHS R01 CA163649NCI NIH HHS R01 CA210439
6 · The paper itself

Abstract

backgroundEsophageal cancer has the sixth highest rate of cancer-associated deaths worldwide, with many patients displaying metastases and chemotherapy resistance. We sought to find subtypes to see if precision medicine could play a role in finding new potential targets and predicting responses to therapy. Since metabolism not only drives cancers but also serves as a readout, metabolism was examined as a key reporter for differences.

methodsUnsupervised and supervised classification methods, including hierarchical clustering, partial least squares discriminant analysis, k-nearest neighbors, and machine learning techniques, were used to discover and display two major subgroups. Genes, pathways, gene ontologies, survival, and immune differences between the groups were further examined, along with biomarkers between the groups and against normal tissue.

resultsEsophageal cancer had two major unique metabolic profiles observed between the histological subtypes esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC). The metabolic differences suggest that ESCC depends on glycolysis, whereas EAC relies more on oxidative metabolism, catabolism of glycolipids, the tricarboxylic acid (TCA) cycle, and the electron transport chain. We also noted a robust prognostic risk associated with

conclusionOverall, these results highlight the extreme differences observed between the histological subtypes and may lead to novel biomarkers, therapeutic strategies, and differences in therapeutic response for targeting each esophageal cancer subtype.

Indexed as

biomarkerscancer metabolismesophageal cancerimmunological subtypesmetabolic subtypes

Identifiers

PMID34307352
PMCPMC8295652
OpenAlexW3177791885

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.