Evidence map›Paper›PMID 27904650›Full record

ReviewTherapeutic advances in urology2016

Cabozantinib in the treatment of advanced renal cell carcinoma: clinical trial evidence and experience.

Jose Manuel Ruiz-Morales, Daniel Y C Heng

Open access · bronzeAbstract readReview
In one paragraph

Review in Therapeutic advances in urology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Jose Manuel Ruiz-MoralesTom Baker Cancer Center, Alberta Health Services Cancer Care, University of Calgary, Calgary, Alberta, Canada.
Daniel Y C HengTom Baker Cancer Center, Alberta Health Services Cancer Care, University of Calgary, 1331 29th St NW, Calgary, Alberta, Canada T2N 4N2.
Hospital Médica Sur · MXUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of metastatic renal cell carcinoma (mRCC) is rapidly changing. During first-line treatment with targeted therapy, patients ultimately develop resistance to therapy and the disease progresses. Recently, cabozantinib has demonstrated a better response rate, progression-free survival and overall survival compared with everolimus after failure of prior targeted therapy in patients with advanced or metastatic renal cell carcinoma (RCC). Cabozantinib is a small-molecule tyrosine kinase inhibitor (TKI). It exerts inhibition of MET, vascular endothelial growth factor receptor type 2, AXL, and many other receptor tyrosine kinases that are also implicated in tumor pathobiology, including RET, KIT, and FLT3. MET drives tumor survival, invasion, angiogenesis, and metastasis through several downstream signaling pathways. AXL has recently been described as an essential mediator of cancer metastasis that mediates crosstalk and resistance to TKIs. MET and AXL are thought to be anti-vascular endothelial growth factor receptor (VEGF) resistance pathways and thus cabozantinib represents a logical choice after progression on initial VEGF therapy. Subgroup analyses examining those with good performance status or visceral and bone metastases indicate that the hazard ratios may be better when using cabozantinib

Indexed as

cabozantinibrenal cell carcinomavascular endothelial growth factor receptor 2

Identifiers

PMID27904650
PMCPMC5117166
OpenAlexW2514283099

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.