Evidence map›Paper›PMID 31297336›Full record

ArticleFrontiers in oncology2019

ANKRD44 Gene Silencing: A Putative Role in Trastuzumab Resistance in Her2-Like Breast Cancer.

Marco La Ferla, Francesca Lessi, Paolo Aretini, Davide Pellegrini, Sara Franceschi, Elena Tantillo, Michele Menicagli, Ivo Marchetti, Claudia Scopelliti, Prospero Civita and 11 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

14 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  3. Metabolic hallmarks of trastuzumab resistance.Expert opinion on therapeutic targets · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 5 institutions in 2 countries.

Marco La FerlaFondazione Pisana per la Scienza - Genomic Section, Pisa, Italy.
Francesca LessiFondazione Pisana per la Scienza - Genomic Section, Pisa, Italy.
Paolo AretiniFondazione Pisana per la Scienza - Genomic Section, Pisa, Italy.
Davide PellegriniFondazione Pisana per la Scienza - Proteomic Section, Pisa, Italy.
Sara FranceschiFondazione Pisana per la Scienza - Genomic Section, Pisa, Italy.
Elena TantilloFondazione Pisana per la Scienza - Genomic Section, Pisa, Italy.
Michele MenicagliFondazione Pisana per la Scienza - Genomic Section, Pisa, Italy.
Ivo MarchettiCytopathology Section, Azienda Ospedaliero-Universitaria Pisana (AOUP), Pisa, Italy.
Claudia ScopellitiFondazione Pisana per la Scienza - Genomic Section, Pisa, Italy.
Prospero CivitaFondazione Pisana per la Scienza - Genomic Section, Pisa, Italy.
Claudia De AngelisMedical Oncology Unit, Azienda Ospedaliero-Universitaria Pisana (AOUP), Pisa, Italy.
Lucrezia DiodatiMedical Oncology Unit, Azienda Ospedaliero-Universitaria Pisana (AOUP), Pisa, Italy.
Ilaria BertoliniMedical Oncology Unit, Azienda Ospedaliero-Universitaria Pisana (AOUP), Pisa, Italy.
Manuela RoncellaBreast Cancer Center, Azienda Ospedaliero-Universitaria Pisana (AOUP), Pisa, Italy.
Liam A McDonnellFondazione Pisana per la Scienza - Proteomic Section, Pisa, Italy.
Jacob HochmanDepartment of Cell and Developmental Biology, the Hebrew University of Jerusalem, Jerusalem, Israel.
Marzia Del ReUnit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Cristian ScatenaDepartment of Translational Research and New Technologies in Medicine and Surgery, University Hospital of Pisa, Pisa, Italy.
Antonio G NaccaratoDepartment of Translational Research and New Technologies in Medicine and Surgery, University Hospital of Pisa, Pisa, Italy.
Andrea FontanaMedical Oncology Unit, Azienda Ospedaliero-Universitaria Pisana (AOUP), Pisa, Italy.
Chiara M MazzantiFondazione Pisana per la Scienza - Genomic Section, Pisa, Italy.
Fondazione Pisa · ITAzienda Ospedaliera Universitaria Pisana · ITHebrew University of Jerusalem · ILScuola Normale Superiore · ITUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trastuzumab is an effective therapeutic treatment for Her2-like breast cancer; despite this most of these tumors develop resistance to therapy due to specific gene mutations or alterations in gene expression. Understanding the mechanisms of resistance to Trastuzumab could be a useful tool in order to identify combinations of drugs that elude resistance and allow a better response for the treated patients. Twelve primary biopsies of Her2+/hormone receptor negative (ER-/PgR-) breast cancer patients were selected based on the specific response to neoadjuvant therapy with Trastuzumab and their whole exome was sequenced leading to the identification of 18 informative gene mutations that discriminate patients selectively based on response to treatment. Among these genes, we focused on the study of the ANKRD44 gene to understand its role in the mechanism of resistance to Trastuzumab. The ANKRD44 gene was silenced in Her2-like breast cancer cell line (BT474), obtaining a partially Trastuzumab-resistant breast cancer cell line that constitutively activates the NF-kb protein via the TAK1/AKT pathway. Following this activation an increase in the level of glycolysis in resistant cells is promoted, also confirmed by the up-regulation of the LDHB protein and by an increased TROP2 protein expression, found generally associated with aggressive tumors. These results allow us to consider the ANKRD44 gene as a potential gene involved in Trastuzumab resistance.

Indexed as

ANKRD44gene silencingHer2+ breast cancerLC-MS/MSnext generation sequencingTrastuzumab resistance

Identifiers

PMID31297336
PMCPMC6607964
OpenAlexW2955550812

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.