Evidence map›Paper›PMID 30765875›Full record

ArticleBritish journal of cancer2019

Brivanib in combination with Notch3 silencing shows potent activity in tumour models.

Catia Giovannini, Anna Maria Salzano, Michele Baglioni, Monica Vitale, Andrea Scaloni, Nicola Zambrano, Ferdinando Antonio Giannone, Francesco Vasuri, Antonia D'Errico, Gianluca Svegliati Baroni and 2 more

Abstract read
In one paragraph

Article in British journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

12 authors.

Catia GiovanniniCenter for Applied Biomedical Research (CRBA), S.Orsola-Malpighi University Hospital, Bologna, Italy. catia.giovannini4@unibo.it.
Anna Maria SalzanoProteomics & Mass Spectrometry Laboratory, ISPAAM, National Research Council, 80147, Napoli, Italy.
Michele BaglioniCenter for Applied Biomedical Research (CRBA), S.Orsola-Malpighi University Hospital, Bologna, Italy.
Monica VitaleDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, Napoli, Italy.
Andrea ScaloniProteomics & Mass Spectrometry Laboratory, ISPAAM, National Research Council, 80147, Napoli, Italy.
Nicola ZambranoDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, Napoli, Italy.
Ferdinando Antonio GiannoneCenter for Applied Biomedical Research (CRBA), S.Orsola-Malpighi University Hospital, Bologna, Italy.
Francesco VasuriPathology Unit, St. Orsola-Malpighi University Hospital, 40138, Bologna, Italy.
Antonia D'ErricoPathology Unit, St. Orsola-Malpighi University Hospital, 40138, Bologna, Italy.
Gianluca Svegliati BaroniPolytechnical University of Marche, Ancona, Italy.
Luigi BolondiCenter for Applied Biomedical Research (CRBA), S.Orsola-Malpighi University Hospital, Bologna, Italy.
Laura GramantieriCenter for Applied Biomedical Research (CRBA), S.Orsola-Malpighi University Hospital, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSorafenib is the first targeted agent proven to improve survival of patients with advanced hepatocellular carcinoma (HCC) and it has been used in first line treatments with heterogeneous response across patients. Most of the promising agents evaluated in first-line or second-line phase III trials for HCC failed to improve patient survival. The absence of molecular characterisation, including the identification of pathways driving resistance might be responsible for these disappointing results.

methods2D DIGE and MS analyses were used to reveal proteomic signatures resulting from Notch3 inhibition in HepG2 cells, combined with brivanib treatment. The therapeutic potential of Notch3 inhibition combined with brivanib treatment was also demonstrated in a rat model of HCC and in cell lines derived from different human cancers.

resultsUsing a proteomic approach, we have shown that Notch3 is strongly involved in brivanib resistance through a p53-dependent regulation of enzymes of the tricarboxylic acid (TCA), both in vitro and in vivo.

conclusionWe have demonstrated that regulation of the TCA cycle is a common mechanism in different human cancers, suggesting that Notch3 inhibitors combined with brivanib treatment may represent a strong formulation for the treatment of HCC as well as Notch3-driven cancers.

Indexed as

AlanineAnimalsCarcinoma, HepatocellularCell Line, TumorDrug Resistance, NeoplasmElectrophoresis, Polyacrylamide GelGene Knockdown TechniquesHep G2 CellsHumansLiver NeoplasmsLiver Neoplasms, ExperimentalMCF-7 CellsMolecular Targeted TherapyProteomicsRatsRats, WistarAlaninebrivanibNOTCH3 protein, humanReceptor, Notch3RNA, Small InterferingTriazines

Identifiers

PMID30765875
PMCPMC6461893

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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.