Evidence map›Paper›PMID 34944908›Full record

ArticleCancers2021

Patient-Derived Xenografts of High-Grade Serous Ovarian Cancer Subtype as a Powerful Tool in Pre-Clinical Research.

Magdalena Cybula, Lin Wang, Luyao Wang, Ana Luiza Drumond-Bock, Katherine M Moxley, Doris M Benbrook, Camille Gunderson-Jackson, Maria J Ruiz-Echevarria, Resham Bhattacharya, Priyabrata Mukherjee and 1 more

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Article
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  17. Harnessing preclinical models for the interrogation of ovarian cancer.Journal of experimental & clinical cancer research : CR · 2022
    Review
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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

11 authors.

Magdalena CybulaAging and Metabolism Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.
Lin WangAging and Metabolism Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.
Luyao WangAging and Metabolism Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.
Ana Luiza Drumond-BockAging and Metabolism Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.ORCID 0000-0003-3555-7741
Katherine M MoxleyDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Stephenson Cancer Center, University of Oklahoma Health Science Center, Oklahoma City, OK 73104, USA.
Doris M BenbrookDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Stephenson Cancer Center, University of Oklahoma Health Science Center, Oklahoma City, OK 73104, USA.ORCID 0000-0001-7606-8245
Camille Gunderson-JacksonDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Stephenson Cancer Center, University of Oklahoma Health Science Center, Oklahoma City, OK 73104, USA.
Maria J Ruiz-EchevarriaDepartment of Pathology, Department of Medicine, Stephenson Cancer Center, University of Oklahoma Health Science Center, Oklahoma City, OK 73104, USA.ORCID 0000-0001-7133-9982
Resham BhattacharyaDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Stephenson Cancer Center, University of Oklahoma Health Science Center, Oklahoma City, OK 73104, USA.
Priyabrata MukherjeeDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Stephenson Cancer Center, University of Oklahoma Health Science Center, Oklahoma City, OK 73104, USA.
Magdalena BieniaszAging and Metabolism Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA.ORCID 0000-0001-7230-9881

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Wade Williams · 2018 to 2026
$27.1M
Exploiting gold nanoparticle as a probe to identify therapeutic targetsR01CA260449 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Resham Bhattacharya, Priyabrata Mukherjee · 2022 to 2026
$1.6M
NCI NIH HHS P30 CA225520NCI NIH HHS R01 CA260449
6 · The paper itself

Abstract

(1) Background. PDX models have become the preferred tool in research laboratories seeking to improve development and pre-clinical testing of new drugs. PDXs have been shown to capture the cellular and molecular characteristics of human tumors better than simpler cell line-based models. More recently, however, hints that PDXs may change their characteristics over time have begun to emerge, emphasizing the need for comprehensive analysis of PDX evolution. (2) Methods. We established a panel of high-grade serous ovarian carcinoma (HGSOC) PDXs and developed and validated a 300-SNP signature that can be successfully utilized to assess genetic drift across PDX passages and detect PDX contamination with lymphoproliferative tissues. In addition, we performed a detailed histological characterization and functional assessment of multiple PDX passages. (3) Results. Our data show that the PDXs remain largely stable throughout propagation, with marginal genetic drift at the time of PDX initiation and adaptation to mouse host. Importantly, our PDX lines retained the major histological characteristics of the original patients' tumors even after multiple passages in mice, demonstrating a strong concordance with the clinical responses of their corresponding patients. (4) Conclusions. Our data underline the value of defined HGSOC PDXs as a pre-clinical tumor model.

Indexed as

ovarian cancerpatient-derived xenografttumor model

Identifiers

PMID34944908
PMCPMC8699796

What OpenQuestion holds

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Registered trials

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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.