Evidence map›Paper›PMID 34615692›Full record

ArticleMolecular cancer research : MCR2021

The Spatial Context of Tumor-Infiltrating Immune Cells Associates with Improved Ovarian Cancer Survival.

Benjamin Steinhart, Kimberly R Jordan, Jaidev Bapat, Miriam D Post, Lindsay W Brubaker, Benjamin G Bitler, Julia Wrobel

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer research : MCR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.1field-weighted citation impact, top 10% 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

27 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Differences in T-cell Densities and Neighborhood Patterns in Human Colorectal Adenomas and Sessile Serrated Lesions.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A Spatial Omnibus Test (SPOT) for Spatial Proteomic Data.Bioinformatics (Oxford, England) · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. A Spatial Omnibus Test (SPOT) for Spatial Proteomic Data.bioRxiv : the preprint server for biology · 2024
    Article
  20. Article
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 3 institutions in 1 country.

Benjamin SteinhartDepartment of Biostatistics & Informatics, Colorado School of Public Health, The University of Colorado Anschutz Medical Campus, Aurora, Colorado.ORCID 0000-0003-2001-2298
Kimberly R JordanDepartment of Immunology and Microbiology, The University of Colorado Anschutz Medical Campus, Aurora, Colorado.ORCID 0000-0001-8380-7157
Jaidev BapatCancer Biology Graduate Program, The University of Colorado Anschutz Medical Campus, Aurora, Colorado.ORCID 0000-0002-8964-1415
Miriam D PostDepartment of Pathology, The University of Colorado Anschutz Medical Campus, Aurora, Colorado.ORCID 0000-0001-7220-8247
Lindsay W BrubakerDepartment of Obstetrics & Gynecology, Division of Gynecologic Oncology, The University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Benjamin G BitlerUniversity of Colorado Comprehensive Cancer Center, Aurora, Colorado. julia.wrobel@cuanschutz.edu benjamin.bitler@cuanschutz.edu.ORCID 0000-0002-5809-5271
Julia WrobelDepartment of Biostatistics & Informatics, Colorado School of Public Health, The University of Colorado Anschutz Medical Campus, Aurora, Colorado. julia.wrobel@cuanschutz.edu benjamin.bitler@cuanschutz.edu.
University of Colorado Anschutz Medical Campus · USColorado School of Public Health · USUniversity of Colorado Cancer Center · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Targeting Wnt signaling in therapy-resistant ovarian cancerR37CA261987 · NCI · UNIVERSITY OF COLORADO DENVER · PI Benjamin G Bitler · 2021 to 2026
$2.4M
NCATS NIH HHS UL1 TR002535NCI NIH HHS P30 CA046934NCI NIH HHS R37 CA261987
6 · The paper itself

Abstract

Ovarian cancer is the deadliest gynecologic malignancy. Multi-omics techniques have provided a platform for improved predictive modeling of therapy response and patient outcomes. While high-grade serous carcinoma (HGSOC) tumors are immunogenic and numerous studies have defined positive correlation to immune cell infiltration, immunotherapies in clinical trials have exhibited low efficacy rates. There is a significant need to better comprehend the role and composition of immune cells in mediating ovarian cancer therapeutic response and progression. We performed multiplex IHC with an HGSOC tissue microarray (

Indexed as

FemaleHumansLymphocytes, Tumor-InfiltratingMiddle AgedOvarian NeoplasmsSurvival Analysis

Identifiers

PMID34615692
PMCPMC8642308
OpenAlexW3201789534

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.