Evidence map›Paper›PMID 31892360›Full record

ArticleJournal for immunotherapy of cancer2019

High expression of B7-H3 on stromal cells defines tumor and stromal compartments in epithelial ovarian cancer and is associated with limited immune activation.

Heather L MacGregor, Azin Sayad, Andrew Elia, Ben X Wang, Sarah Rachel Katz, Patricia A Shaw, Blaise A Clarke, Sarah Q Crome, Celine Robert-Tissot, Marcus Q Bernardini and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
4.7field-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

56 citing papers in PubMed, 76 citations in OpenAlex.

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  19. Immune pathway through endometriosis to ovarian cancer.World journal of clinical oncology · 2024
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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

12 authors at 1 institution in 2 countries.

Heather L MacGregorDepartment of Immunology, University of Toronto, Toronto, Ontario, Canada.
Azin SayadPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Andrew EliaPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Ben X WangPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Sarah Rachel KatzDivision of Gynecologic Oncology, University Health Network, Toronto, Ontario, Canada.
Patricia A ShawDepartment of Laboratory Medicine and Pathobiology, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Blaise A ClarkeDepartment of Laboratory Medicine and Pathobiology, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Sarah Q CromeDepartment of Immunology, University of Toronto, Toronto, Ontario, Canada.
Celine Robert-TissotPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Marcus Q BernardiniDivision of Gynecologic Oncology, University Health Network, Toronto, Ontario, Canada.
Linh T NguyenPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Pamela S OhashiDepartment of Immunology, University of Toronto, Toronto, Ontario, Canada. Pam.Ohashi@uhnresearch.ca.ORCID 0000-0003-2915-9317
University Health Network · CA

Funding

CIHR CCM-104887CIHR CIHR-FDN 143220
6 · The paper itself

Abstract

backgroundB7-H3 and B7-H4 are highly expressed by many human malignancies making them attractive immunotherapeutic targets. However, their expression patterns and immune contexts in epithelial ovarian cancer have not been well characterized.

methodsWe used flow cytometry, immunohistochemistry, and genomic analyses to determine the patterns of B7-H3, B7-H4, and PD-L1 expression by tumor, stromal, and immune cells in the ovarian tumor microenvironment (TME). We analyzed immune cell frequency and expression of PD-1, TIM3, LAG3, ICOS, TIA-1, granzyme B, 2B4, CD107a, and GITR on T cells; CD20, CD22, IgD, BTLA, and CD27 on B cells; CD16 on monocytes; and B7-H3, B7-H4, PD-L1, PD-L2, ICOSL, CD40, CD86, and CLEC9a on antigen-presenting cells by flow cytometry. We determined intratumoral cellular location of immune cells using immunohistochemistry. We compared differences in immune infiltration in tumors with low or high tumor-to-stroma ratio and in tumors from the same or unrelated patients.

resultsOn non-immune cells, B7-H4 expression was restricted to tumor cells whereas B7-H3 was expressed by both tumor and stromal cells. Stromal cells of the ovarian TME expressed high levels of B7-H3 compared to tumor cells. We used this differential expression to assess the tumor-to-stroma ratio of ovarian tumors and found that high tumor-to-stroma ratio was associated with increased expression of CD16 by monocytes, increased frequencies of PD-1

conclusionsThis study provides insight into the expression patterns of B7-H3 and B7-H4 in the ovarian TME. Further, we demonstrate an association between the tumor-to-stroma ratio and the phenotype of tumor-infiltrating immune cells. We also find that some but not all immune parameters show consistency between peritoneal metastatic sites. These data have implications for the design of immunotherapies targeting these B7 molecules in epithelial ovarian cancer.

Indexed as

Gene ExpressionB7 AntigensBiomarkers, TumorCarcinoma, Ovarian EpithelialFemaleHumansImmunohistochemistryImmunophenotypingLymphocyte ActivationLymphocytes, Tumor-InfiltratingOvarian NeoplasmsStromal CellsTumor MicroenvironmentB7 AntigensBiomarkers, TumorCD276 protein, humanB7 familyB7-H3B7-H4Epithelial ovarian cancerIntrapatient variability, immune heterogeneityTumor microenvironment

Identifiers

PMID31892360
PMCPMC6937725
OpenAlexW2997299711

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.