Evidence map›Paper›PMID 28315927›Full record

ArticleCancer immunology, immunotherapy : CII2017

HLA-DR expression in tumor epithelium is an independent prognostic indicator in esophageal adenocarcinoma patients.

Margaret R Dunne, Adriana J Michielsen, Katie E O'Sullivan, Mary Clare Cathcart, Ronan Feighery, Brendan Doyle, Jenny A Watson, Naoimh J O'Farrell, Narayanasamy Ravi, Elaine Kay and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 46 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

13 authors at 3 institutions in 1 country.

Margaret R DunneDepartment of Surgery, St. James's Hospital, Trinity Translational Medicine Institute, Dublin 8, Ireland.
Adriana J MichielsenDepartment of Surgery, St. James's Hospital, Trinity Translational Medicine Institute, Dublin 8, Ireland.
Katie E O'SullivanDepartment of Surgery, St. James's Hospital, Trinity Translational Medicine Institute, Dublin 8, Ireland.
Mary Clare CathcartDepartment of Surgery, St. James's Hospital, Trinity Translational Medicine Institute, Dublin 8, Ireland.
Ronan FeigheryDepartment of Surgery, St. James's Hospital, Trinity Translational Medicine Institute, Dublin 8, Ireland.
Brendan DoyleDepartment of Histopathology, Trinity College, St. James's Hospital, Dublin 8, Ireland.
Jenny A WatsonDepartment of Pathology, RCSI Education and Research Centre, Beaumont Hospital, Dublin 9, Ireland.
Naoimh J O'FarrellDepartment of Surgery, St. James's Hospital, Trinity Translational Medicine Institute, Dublin 8, Ireland.
Narayanasamy RaviDepartment of Surgery, St. James's Hospital, Trinity Translational Medicine Institute, Dublin 8, Ireland.
Elaine KayDepartment of Pathology, RCSI Education and Research Centre, Beaumont Hospital, Dublin 9, Ireland.
John V ReynoldsDepartment of Surgery, St. James's Hospital, Trinity Translational Medicine Institute, Dublin 8, Ireland.
Elizabeth J RyanCentre for Colorectal Disease & School of Medicine, St. Vincent's University Hospital, University College Dublin, Education and Research Centre, Elm Park, Dublin 4, Ireland.
Jacintha O'SullivanDepartment of Surgery, St. James's Hospital, Trinity Translational Medicine Institute, Dublin 8, Ireland. osullij4@tcd.ie.
St. James's Hospital · IEBeaumont Hospital · IEUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal adenocarcinoma (EAC) is an aggressive cancer with poor prognosis, and incidence is increasing rapidly in the Western world. Measurement of immune markers has been shown to have prognostic significance in a growing number of cancers, but whether this is true for EAC has yet to be evaluated. This study aimed to characterize HLA-DR expression in the esophagus across the inflammation to cancer progression sequence and to assess the prognostic significance of HLA-DR expression in EAC. Tissue microarrays (TMA) were constructed from esophageal tissue taken from patients at different stages in the cancer progression sequence; normal, esophagitis, Barrett's esophagus (BE), low- and high-grade dysplasia (LGD, HGD) and EAC. HLA-DR expression in tissue epithelium and stroma was assessed by immunohistochemistry. HLA-DR expression increased early in the inflammation to cancer progression sequence; with higher expression detected in esophagitis and BE compared to normal tissue. Patients with low (<50%) HLA-DR expression in the EAC tumor epithelium had significantly worse survival outcomes, compared to those with high expression, in both the tumor core (hazard ratio, HR = 2.178, p = 0.024, n = 70) and leading edge (HR = 2.86, p = 0.013, n = 41). Multivariate analysis demonstrated that low HLA-DR expression in leading edge tumor epithelium was an independent predictor of poor survival, associated with a 2.8-fold increase in disease-associated death (p = 0.023). This study shows that HLA-DR is an independent prognostic marker in EAC tumor epithelium. This may have implications for patient stratification strategies as well as EAC tumor immunology.

Indexed as

AdenocarcinomaAdultAgedAged, 80 and overBarrett EsophagusBiomarkers, TumorDisease ProgressionEpithelial CellsEsophageal NeoplasmsEsophagitisEsophagusFemaleHLA-DR AntigensHumansImmunohistochemistryKaplan-Meier EstimateBiomarkers, TumorHLA-DR AntigensBarrett’s esophagusEsophageal adenocarcinomaHLA-DRInflammation-associated cancerPrognostic markersSurvival

Identifiers

PMID28315927
PMCPMC5489642
OpenAlexW2595112364

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.