Evidence map›Paper›PMID 27764790›Full record

SynthesisOncotarget2016

Is ovarian cancer a targetable disease? A systematic review and meta-analysis and genomic data investigation.

Nicoletta Staropoli, Domenico Ciliberto, Silvia Chiellino, Francesca Caglioti, Teresa Del Giudice, Simona Gualtieri, Angela Salvino, Alessandra Strangio, Cirino Botta, Sandro Pignata and 2 more

Open access · diamondAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.8field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. ERBB4 Expression in Ovarian Serous Carcinoma Resistant to Platinum-Based Therapy.Cancer control : journal of the Moffitt Cancer Center · 2017
    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

12 authors at 2 institutions in 1 country.

Nicoletta StaropoliDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Domenico CilibertoDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Silvia ChiellinoDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Francesca CagliotiDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Teresa Del GiudiceDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Simona GualtieriDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Angela SalvinoDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Alessandra StrangioDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Cirino BottaDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Sandro PignataDepartment of Gynecologic and Urologic Oncology, Fondazione Pascale, National Cancer Institute of Naples, Naples, Italy.
Pierfrancesco TassoneDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Pierosandro TagliaferriDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Magna Graecia University · ITIstituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe current gold-standard for the first-line treatment in IIIb/IV stages of epithelial ovarian cancer (EOC) is the combination of carboplatin and paclitaxel plus bevacizumab in some countries. In the era of personalized medicine, there is still uncertainty on the impact of several molecularly targeted agents, which have been investigated for the management of this disease. To shed light on the actual role of targeted therapy in EOC, a systematic review and meta-analysis was performed.

methodsClinical trials were selected by searching "Pubmed" database and abstracts from major cancer meetings within the time-frame of January 2004-June 2015. The endpoints were survival outcome and response rate (RR). Hazard ratios (HRs) of survival outcomes, with confidence intervals and odds-ratios (ORs) of RR, were extracted from retrieved studies and used for current analysis. Meta-analysis was carried out by random effect model.

results30 randomized trials for a total of 10,530 patients were selected and included in the final analysis. A benefit in terms of OS (pooled HR 0.915; 95%CI 0.840-0.997; p=0.043), particularly for anti-angiogenetic agents (HR 0.872; 95%CI 0.761-1.000; p=0.049), has been demonstrated for targeted therapy. Moreover, a significant advantage in platinum-resistant subgroup in term of PFS (HR 0.755; 95%CI 0.624-0.912; p=0.004) was found.

conclusionsThis systematic review and meta-analysis provide the first evidence that targeted therapy is potentially able to translate into improved survival of EOC patients, with a major role played by anti-angiogenetic drugs. The role of target therapy is underlined in the platinum-resistant setting that represents the "pain in the neck" in EOC management.

Indexed as

Angiogenesis InhibitorsBiomarkers, TumorDisease-Free SurvivalDisease ProgressionDrug Resistance, NeoplasmFemaleHumansMolecular Targeted TherapyOdds RatioOvarian NeoplasmsPatient SelectionPrecision MedicineRisk FactorsSignal TransductionTime FactorsTreatment OutcomeAngiogenesis InhibitorsBiomarkers, Tumormeta-analysisovarian cancersystematic reviewsystemic chemotherapytargeted therapy

Identifiers

PMID27764790
PMCPMC5347729
OpenAlexW2530146471

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.