Evidence map›Paper›PMID 36627285›Full record

ArticleNPJ breast cancer2023

Predictors of success in establishing orthotopic patient-derived xenograft models of triple negative breast cancer.

Gloria V Echeverria, Shirong Cai, Yizheng Tu, Jiansu Shao, Emily Powell, Abena B Redwood, Yan Jiang, Aaron McCoy, Amanda L Rinkenbaugh, Rosanna Lau and 17 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in NPJ breast cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02276443 (ARTEMIS), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.1field-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.

NCT02276443 naactive not recruitingnot on this map

ARTEMIS: A Robust TNBC Evaluation FraMework to Improve Survival

TypeinterventionalSponsorM.D. Anderson Cancer CenterRan2015 to 2026Enrolled798ConditionsInvasive Breast Carcinoma, Stage I Breast Cancer AJCC v7, Stage IA Breast Cancer AJCC v7, Stage IB Breast Cancer AJCC v7ArmsChemotherapy, Immunotherapy, Laboratory Biomarker Analysis, Lymph Node Biopsy, Ultrasonography
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 20 citations in OpenAlex.

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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

27 authors at 3 institutions in 1 country.

Gloria V EcheverriaDepartment of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. Gloria.Echeverria@bcm.edu.ORCID http://orcid.org/0000-0002-3772-9298
Shirong CaiDepartment of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Yizheng TuDepartment of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Jiansu ShaoDepartment of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Emily PowellDepartment of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Abena B RedwoodDepartment of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Yan JiangDepartment of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Aaron McCoyDepartment of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Amanda L RinkenbaughDepartment of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.ORCID http://orcid.org/0000-0003-3276-6863
Rosanna LauDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Alexander J TrevartonDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.ORCID http://orcid.org/0000-0002-1404-0199
Chunxiao FuDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Rebekah GouldDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Elizabeth E RavenbergDepartment of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Lei HuoDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Rosalind CandelariaDepartment of Breast Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Lumarie SantiagoDepartment of Breast Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Beatriz E AdradaDepartment of Breast Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Deanna L LaneDepartment of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Gaiane M RauchDepartment of Abdominal Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Wei T YangDepartment of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Jason B WhiteDepartment of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.ORCID http://orcid.org/0000-0001-7140-545X
Jeffrey T ChangDepartment of Integrative Biology and Pharmacology, University of Texas Health Science Center, Houston, TX, 77030, USA.ORCID http://orcid.org/0000-0002-4578-5636
Stacy L MoulderDepartment of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
W Fraser SymmansDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.ORCID http://orcid.org/0000-0002-1526-184X
Susan G HilsenbeckLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA.ORCID http://orcid.org/0000-0002-7962-673X
Helen Piwnica-WormsDepartment of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. hpiwnica-worms@mdanderson.org.ORCID http://orcid.org/0000-0003-4210-6738
The University of Texas MD Anderson Cancer Center · USBaylor College of Medicine · USThe University of Texas Health Science Center at Houston · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Michael M Ittmann · 2007 to 2026
$73.9M
Metabolic adaptation in residual triple negative breast cancer following chemotherapyR37CA269783 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Gloria Vittone Echeverria · 2023 to 2026
$2.1M
Characterizing and targeting intra-tumor heterogeneity in triple negative breast cancer chemoresistance and multi-organ metastasisK22CA241113 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ECHEVERRIA, GLORIA VITTONE · 2020 to 2022
$473k
NCI NIH HHS K22 CA241113NCI NIH HHS P30 CA016672NCI NIH HHS P30 CA125123NCI NIH HHS R37 CA269783
6 · The paper itself

Abstract

Patient-derived xenograft (PDX) models of breast cancer are an effective discovery platform and tool for preclinical pharmacologic testing and biomarker identification. We established orthotopic PDX models of triple negative breast cancer (TNBC) from the primary breast tumors of patients prior to and following neoadjuvant chemotherapy (NACT) while they were enrolled in the ARTEMIS trial (NCT02276443). Serial biopsies were obtained from patients prior to treatment (pre-NACT), from poorly responsive disease after four cycles of Adriamycin and cyclophosphamide (AC, mid-NACT), and in cases of AC-resistance, after a 3-month course of different experimental therapies and/or additional chemotherapy (post-NACT). Our study cohort includes a total of 269 fine needle aspirates (FNAs) from 217 women, generating a total of 62 PDX models (overall success-rate = 23%). Success of PDX engraftment was generally higher from those cancers that proved to be treatment-resistant, whether poorly responsive to AC as determined by ultrasound measurements mid-NACT (p = 0.063), RCB II/III status after NACT (p = 0.046), or metastatic relapse within 2 years of surgery (p = 0.008). TNBC molecular subtype determined from gene expression microarrays of pre-NACT tumors revealed no significant association with PDX engraftment rate (p = 0.877). Finally, we developed a statistical model predictive of PDX engraftment using percent Ki67 positive cells in the patient's diagnostic biopsy, positive lymph node status at diagnosis, and low volumetric reduction of the patient's tumor following AC treatment. This novel bank of 62 PDX models of TNBC provides a valuable resource for biomarker discovery and preclinical therapeutic trials aimed at improving neoadjuvant response rates for patients with TNBC.

Identifiers

PMID36627285
PMCPMC9831981
OpenAlexW4313989396

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.