Evidence map›Paper›PMID 31216647›Full record

ArticleCells2019

Development of Personalized Therapeutic Strategies by Targeting Actionable Vulnerabilities in Metastatic and Chemotherapy-Resistant Breast Cancer PDXs.

Simona Punzi, Marine Meliksetian, Laura Riva, Federica Marocchi, Giancarlo Pruneri, Carmen Criscitiello, Franco Orsi, Lorenzo Spaggiari, Monica Casiraghi, Paolo Della Vigna and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Synthesis, Molecular Dynamics Simulation, andIranian journal of pharmaceutical research : IJPR · 2022
    Article
  6. Review
  7. Article
  8. Altered Mitochondrial Dynamics, Biogenesis, and Functions in the Paclitaxel-Resistant Lung Adenocarcinoma Cell Line A549/Taxol.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  9. 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

14 authors at 3 institutions in 2 countries.

Simona PunziDepartment of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy. simona.punzi@ieo.it.ORCID 0000-0002-8734-6404
Marine MeliksetianDepartment of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy. marine.meliksetyan@ieo.it.
Laura RivaCenter for Genomic Science of IIT@SEMM, Fondazione Istituto Italiano di Tecnologia (IIT), 20139 Milan, Italy. lr15@sanger.ac.uk.
Federica MarocchiDepartment of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy. federica.marocchi@ieo.it.ORCID 0000-0002-5610-5499
Giancarlo PruneriDepartment of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy. giancarlo.pruneri@istitutotumori.mi.it.
Carmen CriscitielloDepartment of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy. carmen.criscitiello@ieo.it.
Franco OrsiDepartment of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy. franco.orsi@ieo.it.
Lorenzo SpaggiariDepartment of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy. lorenzo.spaggiari@ieo.it.
Monica CasiraghiDepartment of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy. monica.casiraghi@ieo.it.ORCID 0000-0001-5986-7811
Paolo Della VignaDepartment of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy. paolo.dellavigna@ieo.it.
Lucilla LuziDepartment of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy. lucilla.luzi@ieo.it.ORCID 0000-0002-8746-4179
Giuseppe CuriglianoDepartment of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy. giuseppe.curigliano@ieo.it.
Pier Giuseppe PelicciDepartment of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy. piergiuseppe.pelicci@ieo.it.
Luisa LanfranconeDepartment of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy. luisa.lanfrancone@ieo.it.ORCID 0000-0002-4523-3815
European Institute of Oncology · ITUniversity of Milan · ITWellcome Sanger Institute · GB

Funding

European Research Council 341131
6 · The paper itself

Abstract

Human breast cancer is characterized by a high degree of inter-patients heterogeneity in terms of histology, genomic alterations, gene expression patterns, and metastatic behavior, which deeply influences individual prognosis and treatment response. The main cause of mortality in breast cancer is the therapy-resistant metastatic disease, which sets the priority for novel treatment strategies for these patients. In the present study, we demonstrate that Patient Derived Xenografts (PDXs) that were obtained from metastatic and therapy-resistant breast cancer samples recapitulate the wide spectrum of the disease in terms of histologic subtypes and mutational profiles, as evaluated by whole exome sequencing. We have integrated genomic and transcriptomic data to identify oncogenic and actionable pathways in each PDX. By taking advantage of primary short-term in vitro cultures from PDX tumors, we showed their resistance to standard chemotherapy (Paclitaxel), as seen in the patients. Moreover, we selected targeting drugs and analyzed PDX sensitivity to single agents or to combination of targeted and standard therapy on the basis of PDX-specific genomic or transcriptomic alterations. Our data demonstrate that PDXs represent a suitable model to test new targeting drugs or drug combinations and to prioritize personalized therapeutic regimens for pre-clinal and clinical tests.

Indexed as

AnimalsBreastBreast NeoplasmsDisease Models, AnimalDrug Resistance, NeoplasmFemaleHeterograftsHumansMiceMice, Inbred NODNeoplasm MetastasisPrecision MedicineXenograft Model Antitumor Assaysbreast canceroncogenic alterationsPDXpersonalized therapies

Identifiers

PMID31216647
PMCPMC6627522
OpenAlexW2950582118

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.