Evidence map›Paper›PMID 26169213›Full record

ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2016

Predictive biomarker candidates to delineate efficacy of antiangiogenic treatment in renal cell carcinoma.

N Romero-Laorden, B Doger, M Hernandez, C Hernandez, J F Rodriguez-Moreno, J Garcia-Donas

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Review
  3. 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

6 authors at 3 institutions in 1 country.

N Romero-LaordenDivision of Medical Oncology, Clara Campal Comprehensive Medical Center, Hospital Universitario HM Sanchinarro, 10 Oña, 28050, Madrid, Spain. nuriaromerolaorden@gmail.com.
B DogerDivision of Medical Oncology, Hospital Universitario Infanta Sofía, Madrid, Spain.
M HernandezDivision of Medical Oncology, Hospital José Molina Orosa, Lanzarote, Madrid, Spain.
C HernandezDivision of Medical Oncology, Clara Campal Comprehensive Medical Center, Hospital Universitario HM Sanchinarro, 10 Oña, 28050, Madrid, Spain.
J F Rodriguez-MorenoDivision of Medical Oncology, Clara Campal Comprehensive Medical Center, Hospital Universitario HM Sanchinarro, 10 Oña, 28050, Madrid, Spain.
J Garcia-DonasDivision of Medical Oncology, Clara Campal Comprehensive Medical Center, Hospital Universitario HM Sanchinarro, 10 Oña, 28050, Madrid, Spain.
Hospital Universitario HM Sanchinarro · ESHospital Doctor José Molina Orosa · ESHospital Universitario Infanta Sofía · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antiangiogenic therapy is currently considered as the cornerstone of treatment in metastatic kidney cancer. A monoclonal antibody against the vascular endothelial growth factor (VEGF) and several tyrosine kinase inhibitors targeting the VEGF receptors demonstrated, 7 years ago, to deeply impact the outcome of this tumor and became a model of integration of molecular knowledge into clinical practice. Unfortunately, no further improvement in survival has been made and 20-25 % of cases remain primary refractory to these drugs, with an overall dismal prognosis. Since biomarker predictors of activity are lacking, their development could highly help in the process of making clinical decisions when choosing the best option for every patient or prompting the inclusion in clinical trials. This unmet medical need could become even more relevant if new immunotherapy confirms its initial promising results in this pathology. In this article, we provide an insight of current state of the art regarding the prediction of antiangiogenic efficacy in kidney cancer and propose new strategies for the implementation of such markers in clinical practice.

Indexed as

Angiogenesis InhibitorsBiomarkers, PharmacologicalBiomarkers, TumorCarcinoma, Renal CellDrug MonitoringGerm-Line MutationHumansKidney NeoplasmsPrognosisTreatment OutcomeAngiogenesis InhibitorsBiomarkers, PharmacologicalBiomarkers, TumorAntiangiogenic therapyBiomarkersKidney cancerPrognosis

Identifiers

PMID26169213
OpenAlexW944533292

What OpenQuestion holds

Textmetadata
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.