Evidence map›Paper›PMID 35313341›Full record

ArticleMolecular cancer therapeutics2022

Immune Mechanisms of Resistance to Cediranib in Ovarian Cancer.

Ganga Gopinathan, Chiara Berlato, Anissa Lakhani, Ludmila Szabova, Colin Pegrum, Ana-Rita Pedrosa, Florian Laforets, Eleni Maniati, Frances R Balkwill

Open access · hybridAbstract read
In one paragraph

Article in Molecular cancer therapeutics, 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
1.5field-weighted citation impact, top 19% 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, 8 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

9 authors at 2 institutions in 2 countries.

Ganga GopinathanBarts Cancer Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London; London, United Kingdom.ORCID 0000-0001-5067-7675
Chiara BerlatoBarts Cancer Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London; London, United Kingdom.
Anissa LakhaniBarts Cancer Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London; London, United Kingdom.
Ludmila SzabovaFrederick National Laboratory for Cancer Research, Tumour Microenvironment Leidos Biomedical Research Inc, Frederick, Maryland.ORCID 0000-0002-5194-0604
Colin PegrumBarts Cancer Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London; London, United Kingdom.
Ana-Rita PedrosaBarts Cancer Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London; London, United Kingdom.ORCID 0000-0002-4421-6968
Florian LaforetsBarts Cancer Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London; London, United Kingdom.ORCID 0000-0002-0924-5691
Eleni ManiatiBarts Cancer Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London; London, United Kingdom.ORCID 0000-0001-6993-9890
Frances R BalkwillBarts Cancer Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London; London, United Kingdom.ORCID 0000-0002-5587-9759
Queen Mary University of London · GBLeidos (United States) · US

Funding

Cancer Research UK 16354Cancer Research UK 25714Cancer Research UK 28990Cancer Research UK C16420/A18066Cancer Research UK C587/A16354Cancer Research UK C7893/A28990NCI NIH HHS HHSN261201500003INCI NIH HHS HHSN261201800001CNIH HHS HHSN261201800001I
6 · The paper itself

Abstract

This article investigates mechanisms of resistance to the VEGF receptor inhibitor cediranib in high-grade serous ovarian cancer (HGSOC), and defines rational combination therapies. We used three different syngeneic orthotopic mouse HGSOC models that replicated the human tumor microenvironment (TME). After 4 to 5 weeks treatment of established tumors, cediranib had antitumor activity with increased tumor T-cell infiltrates and alterations in myeloid cells. However, continued cediranib treatment did not change overall survival or the immune microenvironment in two of the three models. Moreover, treated mice developed additional peritoneal metastases not seen in controls. Cediranib-resistant tumors had intrinsically high levels of IL6 and JAK/STAT signaling and treatment increased endothelial STAT3 activation. Combination of cediranib with a murine anti-IL6 antibody was superior to monotherapy, increasing mouse survival, reducing blood vessel density, and pSTAT3, with increased T-cell infiltrates in both models. In a third HGSOC model, that had lower inherent IL6 JAK/STAT3 signaling in the TME but high programmed cell death protein 1 (PD-1) signaling, long-term cediranib treatment significantly increased overall survival. When the mice eventually relapsed, pSTAT3 was still reduced in the tumors but there were high levels of immune cell PD-1 and Programmed death-ligand 1. Combining cediranib with an anti-PD-1 antibody was superior to monotherapy in this model, increasing T cells and decreasing blood vessel densities. Bioinformatics analysis of two human HGSOC transcriptional datasets revealed distinct clusters of tumors with IL6 and PD-1 pathway expression patterns that replicated the mouse tumors. Combination of anti-IL6 or anti-PD-1 in these patients may increase activity of VEGFR inhibitors and prolong disease-free survival.

Indexed as

Ovarian NeoplasmsProgrammed Cell Death 1 ReceptorAngiogenesis InhibitorsAnimalsCarcinoma, Ovarian EpithelialCell Line, TumorFemaleHumansIndolesInterleukin-6MiceQuinazolinesTumor MicroenvironmentAngiogenesis InhibitorscediranibIndolesInterleukin-6Programmed Cell Death 1 ReceptorQuinazolines

Identifiers

PMID35313341
PMCPMC9167758
OpenAlexW4220656121

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.