Evidence map›Paper›PMID 35804867›Full record

ArticleCancers2022

Humanized Ovarian Cancer Patient-Derived Xenografts for Improved Preclinical Evaluation of Immunotherapies.

Katrin Kleinmanns, Stein-Erik Gullaksen, Geir Bredholt, Ben Davidson, Cecilie Fredvik Torkildsen, Sindre Grindheim, Line Bjørge, Emmet McCormack

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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

8 authors at 4 institutions in 1 country.

Katrin KleinmannsDepartment of Clinical Science, Centre for Cancer Biomarkers CCBIO, University of Bergen, 5020 Bergen, Norway.ORCID 0000-0003-1402-8568
Stein-Erik GullaksenDepartment of Clinical Science, Centre for Cancer Biomarkers CCBIO, University of Bergen, 5020 Bergen, Norway.ORCID 0000-0002-8512-9297
Geir BredholtDepartment of Clinical Science, Centre for Cancer Biomarkers CCBIO, University of Bergen, 5020 Bergen, Norway.ORCID 0000-0002-8953-8821
Ben DavidsonDepartment of Pathology, Oslo University Hospital, Norwegian Radium Hospital, 0310 Oslo, Norway.ORCID 0000-0003-3332-8427
Cecilie Fredvik TorkildsenDepartment of Clinical Science, Centre for Cancer Biomarkers CCBIO, University of Bergen, 5020 Bergen, Norway.ORCID 0000-0002-8676-3046
Sindre GrindheimDepartment of Clinical Science, Centre for Cancer Biomarkers CCBIO, University of Bergen, 5020 Bergen, Norway.
Line BjørgeDepartment of Clinical Science, Centre for Cancer Biomarkers CCBIO, University of Bergen, 5020 Bergen, Norway.ORCID 0000-0002-0240-2770
Emmet McCormackDepartment of Clinical Science, Centre for Cancer Biomarkers CCBIO, University of Bergen, 5020 Bergen, Norway.ORCID 0000-0002-7621-4625
University of Bergen · NOHaukeland University Hospital · NOOslo University Hospital · NOStavanger University Hospital · NO

Funding

CCBIO 223250EU 675743, 667713Helse Vest RF and Helse Bergen HF 912171The Norwegian Cancer Society 223171The Research Council of Norway 326300
6 · The paper itself

Abstract

High-grade serous ovarian cancer (HGSOC) has poor prognosis and new treatment modalities are needed. Immunotherapy, with checkpoint inhibitors, have demonstrated limited impact. To evaluate the suitability for immunotherapeutics, contextualized preclinical models are required to secure meaningful clinical translation. Therefore, we developed and characterized humanized patient-derived xenograft (hu PDX) murine models of HGSOC, which were established by orthotopic implantation of tumor cell suspensions and intravenous injection of CD34

Indexed as

high-grade serous ovarian cancerhu PDXmass cytometrynivolumabNSGNSGSorthotopic mouse modelsPD-1

Identifiers

PMID35804867
PMCPMC9265069
OpenAlexW4283376483

What Socratic 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 Socratic graph.