Evidence map›Paper›PMID 29216878›Full record

ArticleCell communication and signaling : CCS2017

Adaptive phenotype drives resistance to androgen deprivation therapy in prostate cancer.

Nicoletta Ferrari, Ilaria Granata, Matteo Capaia, Marina Piccirillo, Mario Rosario Guarracino, Roberta Venè, Antonella Brizzolara, Andrea Petretto, Elvira Inglese, Martina Morini and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cell communication and signaling : CCS, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  5. Cyclooxygenase and Cancer: Fundamental Molecular Investigations.International journal of molecular sciences · 2023
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  13. Focus on the tumor microenvironment: A seedbed for neuroendocrine prostateFrontiers in cell and developmental biology · 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

15 authors at 3 institutions in 1 country.

Nicoletta FerrariMolecular Oncology and Angiogenesis, Ospedale Policlinico San Martino, L.go R. Benzi 10, 16132, Genoa, Italy.
Ilaria GranataInstitute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Via Pietro Castellino 111, 80131, Naples, Italy.
Matteo CapaiaAcademic Unit of Medical Oncology, Ospedale Policlinico San Martino, L.go R. Benzi 10, 16132, Genoa, Italy.
Marina PiccirilloInstitute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Via Pietro Castellino 111, 80131, Naples, Italy.
Mario Rosario GuarracinoInstitute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Via Pietro Castellino 111, 80131, Naples, Italy.
Roberta VenèMolecular Oncology and Angiogenesis, Ospedale Policlinico San Martino, L.go R. Benzi 10, 16132, Genoa, Italy.
Antonella BrizzolaraMolecular Oncology and Angiogenesis, Ospedale Policlinico San Martino, L.go R. Benzi 10, 16132, Genoa, Italy.
Andrea PetrettoCore Facilities-Proteomics Laboratory, Giannina Gaslini Institute, L.go G. Gaslini 5, 16147, Genoa, Italy.
Elvira IngleseCore Facilities-Proteomics Laboratory, Giannina Gaslini Institute, L.go G. Gaslini 5, 16147, Genoa, Italy.
Martina MoriniLaboratory of Molecular Biology, Giannina Gaslini Institute, L.go G. Gaslini 5, 16147, Genoa, Italy.
Simonetta AstigianoImmunology, Ospedale Policlinico San Martino, L.go R. Benzi 10, 16132, Genoa, Italy.
Adriana Agnese AmaroMolecular Pathology, Ospedale Policlinico San Martino, L.go R. Benzi 10, 16132, Genoa, Italy.
Francesco BoccardoAcademic Unit of Medical Oncology, Ospedale Policlinico San Martino, L.go R. Benzi 10, 16132, Genoa, Italy.
Cecilia BalbiAcademic Unit of Medical Oncology, Ospedale Policlinico San Martino, L.go R. Benzi 10, 16132, Genoa, Italy.
Paola BarboroAcademic Unit of Medical Oncology, Ospedale Policlinico San Martino, L.go R. Benzi 10, 16132, Genoa, Italy. paola.barboro@hsanmartino.it.ORCID 0000-0001-9074-9290
Ospedale Policlinico San Martino · ITInstitute for High Performance Computing and Networking · ITIstituto Giannina Gaslini · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer (PCa), the second most common cancer affecting men worldwide, shows a broad spectrum of biological and clinical behaviour representing the epiphenomenon of an extreme heterogeneity. Androgen deprivation therapy is the mainstay of treatment for advanced forms but after few years the majority of patients progress to castration-resistant prostate cancer (CRPC), a lethal form that poses considerable therapeutic challenges.

methodsWestern blotting, immunocytochemistry, invasion and reporter assays, and in vivo studies were performed to characterize androgen resistant sublines phenotype in comparison to the parental cell line LNCaP. RNA microarray, mass spectrometry, integrative transcriptomic and proteomic differential analysis coupled with GeneOntology and multivariate analyses were applied to identify deregulated genes and proteins involved in CRPC evolution.

resultsTreating the androgen-responsive LNCaP cell line for over a year with 10 μM bicalutamide both in the presence and absence of 0.1 nM 5-α-dihydrotestosterone (DHT) we obtained two cell sublines, designated PDB and MDB respectively, presenting several analogies with CRPC. Molecular and functional analyses of PDB and MDB, compared to the parental cell line, showed that both resistant cell lines were PSA low/negative with comparable levels of nuclear androgen receptor devoid of activity due to altered phosphorylation; cell growth and survival were dependent on AKT and p38MAPK activation and PARP-1 overexpression; their malignant phenotype increased both in vitro and in vivo. Performing bioinformatic analyses we highlighted biological processes related to environmental and stress adaptation supporting cell survival and growth. We identified 15 proteins that could direct androgen-resistance acquisition. Eleven out of these 15 proteins were closely related to biological processes involved in PCa progression.

conclusionsOur models suggest that environmental factors and epigenetic modulation can activate processes of phenotypic adaptation driving drug-resistance. The identified key proteins of these adaptive phenotypes could be eligible targets for innovative therapies as well as molecules of prognostic and predictive value.

Indexed as

Drug Resistance, NeoplasmAdaptation, PhysiologicalAndrogensCell Line, TumorGene Expression Regulation, NeoplasticHumansMalePhosphorylationProstatic Neoplasms, Castration-ResistantReceptors, AndrogenSignal TransductionTreatment OutcomeAndrogensReceptors, AndrogenAndrogen deprivation therapyBioinformatic analysisCastration-resistant prostate cancerDrug resistanceStress responseTarget therapy

Identifiers

PMID29216878
PMCPMC5721601
OpenAlexW2775560499

What OpenQuestion holds

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LicenceCC BY
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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.