Evidence map›Paper›PMID 28038471›Full record

ArticleOncotarget2017

Prognostic impact of immune microenvironment in laryngeal and pharyngeal squamous cell carcinoma: Immune cell subtypes, immuno-suppressive pathways and clinicopathologic characteristics.

Georgia Karpathiou, Francois Casteillo, Jean-Baptiste Giroult, Fabien Forest, Pierre Fournel, Alessandra Monaya, Marios Froudarakis, Jean Marc Dumollard, Jean Michel Prades, Michel Peoc'h

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 4 pooled it
4.4field-weighted citation impact, top 4% 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

65 citing papers in PubMed, 4 syntheses or guidelines pooled it, 95 citations in OpenAlex.

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  10. [Combination of proteome and transcriptome analysis to predict survival and immunotherapy response in patients with head and neck squamous cell carcinoma].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025
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5 more citing papers are in PubMed but not listed here.

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.

Georgia KarpathiouDepartment of Pathology, North Hospital, University Hospital of St-Etienne, St-Etienne, France.
Francois CasteilloDepartment of Pathology, North Hospital, University Hospital of St-Etienne, St-Etienne, France.
Jean-Baptiste GiroultDepartment of Head and Neck Surgery, North Hospital, University Hospital of St-Etienne, St-Etienne, France.
Fabien ForestDepartment of Pathology, North Hospital, University Hospital of St-Etienne, St-Etienne, France.
Pierre FournelOncology Institute Lucien Neuwirth, St-Etienne, France.
Alessandra MonayaDepartment of Pathology, North Hospital, University Hospital of St-Etienne, St-Etienne, France.
Marios FroudarakisDepartment of Pneumonology, North Hospital, University Hospital of St-Etienne, St-Etienne, France.
Jean Marc DumollardDepartment of Pathology, North Hospital, University Hospital of St-Etienne, St-Etienne, France.
Jean Michel PradesDepartment of Head and Neck Surgery, North Hospital, University Hospital of St-Etienne, St-Etienne, France.
Michel Peoc'hDepartment of Pathology, North Hospital, University Hospital of St-Etienne, St-Etienne, France.
Centre Hospitalier Universitaire de Saint-Étienne · FRInstitute Cancer De La Loire Lucien Neuwirth · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune system affects prognosis of various malignancies. Anti-immune pathways like PD-L1 and CTLA4 are used by the tumor to overcome immune system and they serve as immunotherapy targets. The immune microenvironment of head-and-neck squamous cell carcinoma (SCCHN) has not been sufficiently studied. PATIENTS AND

methods152 SCCHN were immunohistochemically studied for the expression of CD3, CD8, CD57, CD4, granzyme b, CD20, CD163, S100, PD-L1, CTLA4 and CXCR4.

resultsCD3, CD8, CD57 and stromal S100 higher density is a good prognostic factor (p=0.02, 0.01, 0.02, 0.03 respectively). CTLA4 tumor expression is a poor prognostic factor (p=0.05). The rest immune cells do not affect prognosis. CD3 and CD8 density does not correlate with clinicopathological factors or p16/p53 expression, while CD57 and CD4 higher density is associated with the absence of distant metastases (p=0.03 and 0.07, respectively). Higher CD20 and S100 density is associated with lower T stage (p=0.04 and 0.03, respectively). PD-L1 expression is higher in CD3, CD8, and CD163 infiltrated tumors and in histologically more aggressive tumors. Response to neoadjuvant chemotherapy is better in highly CD3 infiltrated tumors and in tumors with less intraepithelial macrophages.

conclusionRich T-lympocytic and dendritic cell response is a good prognostic factor in SCCHN, whereas tumors expressing CTLA4 show poor prognosis. PDL1 expression does not affect prognosis, but it is expressed in histologically more aggressive tumors and in T-cells rich tumors. Response to induction chemotherapy is better in tumors less infiltrated by macrophages and mostly infiltrated by T cells.

Indexed as

AdultAgedAged, 80 and overB7-H1 AntigenBiomarkers, TumorCarcinoma, Squamous CellCD8-Positive T-LymphocytesCombined Modality TherapyCTLA-4 AntigenFemaleFollow-Up StudiesHead and Neck NeoplasmsHumansLymphocytes, Tumor-InfiltratingMaleMiddle AgedB7-H1 AntigenBiomarkers, TumorCTLA-4 AntigenCTLA4 protein, humanCTLA4dendritic cellsmacrophagesPD-L1

Identifiers

PMID28038471
PMCPMC5386686
OpenAlexW2567510695

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.