Evidence map›Paper›PMID 26858311›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2016

Immunologic and Metabolic Features of Pancreatic Ductal Adenocarcinoma Define Prognostic Subtypes of Disease.

Jack Hutcheson, Uthra Balaji, Matthew R Porembka, Megan B Wachsmann, Peter A McCue, Erik S Knudsen, Agnieszka K Witkiewicz

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 4 pooled it
5.5field-weighted citation impact, top 3% 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

52 citing papers in PubMed, 4 syntheses or guidelines pooled it, 75 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

7 authors at 2 institutions in 1 country.

Jack HutchesonMcDermott Center for Human Growth and Development, UT Southwestern Medical Center, Dallas, Texas.
Uthra BalajiMcDermott Center for Human Growth and Development, UT Southwestern Medical Center, Dallas, Texas.
Matthew R PorembkaSimmons Cancer Center, UT Southwestern Medical Center, Dallas, Texas. Department of Surgery, UT Southwestern Medical Center, Dallas, Texas.
Megan B WachsmannDepartment of Pathology, UT Southwestern Medical Center, Dallas, Texas.
Peter A McCueDepartment of Pathology, Thomas Jefferson University, Philadelphia, Pennsylvania.
Erik S KnudsenMcDermott Center for Human Growth and Development, UT Southwestern Medical Center, Dallas, Texas. Simmons Cancer Center, UT Southwestern Medical Center, Dallas, Texas.
Agnieszka K WitkiewiczMcDermott Center for Human Growth and Development, UT Southwestern Medical Center, Dallas, Texas. Simmons Cancer Center, UT Southwestern Medical Center, Dallas, Texas. Department of Pathology, UT Southwestern Medical Center, Dallas, Texas. agnes.witkiewicz@utsouthwestern.edu.
Southwestern Medical Center · USThomas Jefferson University · US

Funding

X-Ray Crystallography and Macromolecular CharacterizationP30CA056036 · NCI · THOMAS JEFFERSON UNIVERSITY · PI DANIEL P SILVER · 1995 to 2026
$94.8M
Common Genetically Altered Pathways as Targets for Therapy in Pancreatic CancerR01CA211878 · NCI · UNIVERSITY OF ARIZONA · PI KNUDSEN, ERIK, WITKIEWICZ, AGNIESZKA · 2017 to 2021
$1.9M
NCI NIH HHS P30 CA056036NCI NIH HHS R01 CA211878
6 · The paper itself

Abstract

purposePancreatic ductal adenocarcinoma (PDA) is associated with an immunosuppressive microenvironment that supports the growth of the malignancy as well as immune system evasion. Here we examine markers of immunosuppression in PDA within the context of the glycolytic tumor microenvironment, their interrelationship with tumor biology and association with overall survival. EXPERIMENTAL

designWe utilized tissue microarrays consisting of 223 PDA patients annotated for clinical stage, tumor size, lymph node involvement, and survival. Expression of CD163, FoxP3, PD-L1, and MCT4 was assessed by IHC and statistical associations were evaluated by univariate and multivariate analysis. Multimarker subtypes were defined by random forest analysis. Mechanistic interactions were evaluated using PDA cell lines and models for myeloid differentiation.

resultsPDA exhibits discrete expression of CD163, FoxP3, and PD-L1 with modest individual significance. However, combined low expression of these markers was associated with improved prognosis (P = 0.02). PDA tumor cells altered macrophage phenotype and function, which supported enhanced invasiveness in cell-based models. Lactate efflux mediated by MCT4 was associated with, and required for, the selective conversion of myeloid cells. Correspondingly, MCT4 expression correlated with immune markers in PDA cases, and increased the significance of prognostic subtypes (P = 0.002).

conclusionsThere exists a complex interplay between PDA tumor cells and the host immune system wherein immunosuppression is associated with negative outcome. MCT4 expression, representative of the glycolytic state of PDA, contributes to the phenotypic conversion of myeloid cells. Thus, metabolic status of PDA tumors is an important determinant of the immunosuppressive environment. Clin Cancer Res; 22(14); 3606-17. ©2016 AACR.

Indexed as

AdenocarcinomaAdultAgedAged, 80 and overAntigens, CDAntigens, Differentiation, MyelomonocyticB7-H1 AntigenBiomarkersCarcinoma, Pancreatic DuctalCD163 AntigenCell Line, TumorFemaleForkhead Transcription FactorsHumansMaleMiddle AgedAntigens, CDAntigens, Differentiation, MyelomonocyticB7-H1 AntigenBiomarkersCD163 AntigenForkhead Transcription FactorsReceptors, Cell Surface

Identifiers

PMID26858311
PMCPMC4947442
OpenAlexW2266948109

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.