Evidence map›Paper›PMID 30334000›Full record

ReviewKidney cancer (Clifton, Va.)2017

Molecular Classification of Renal Cell Carcinoma and Its Implication in Future Clinical Practice.

Jozefina Casuscelli, Yann-Alexandre Vano, Wolf Herve Fridman, James J Hsieh

Open access · diamondAbstract readReview
In one paragraph

Review in Kidney cancer (Clifton, Va.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 50 citations in OpenAlex.

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  17. Biomarkers in renal cell carcinoma and their targeted therapies: a review.Exploration of targeted anti-tumor therapy · 2023
    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

4 authors at 3 institutions in 3 countries.

Jozefina CasuscelliDepartment of Urology, Ludwig-Maximilians University, Munich, Germany.
Yann-Alexandre VanoOncologie Médicale, Hôpital Européen Georges Pompidou and Centre de Recherche des Cordeliers, Paris, France.
Wolf Herve FridmanINSERM, UMR_S 1138, Cordeliers Research Center, Team Cancer, Immune Control and Escape, Paris 5 Descartes University, Paris, France.
James J HsiehMolecular Oncology, Department of Medicine, Siteman Cancer Center, Washington University, St. Louis, MO, USA.
Inserm · FRLudwig-Maximilians-Universität München · DEWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) encompasses a wide spectrum of morphologically and molecularly distinct (>10) cancer subtypes originated from the kidney epithelium. Metastatic RCC (mRCC) is lethal and refractory to conventional chemotherapeutic agents. The incorporation of targeted therapies and immune checkpoint inhibitors into the current practice of mRCC has markedly improved the median overall survival of clear cell RCC (ccRCC) patients, the most common subtype, but not rare kidney cancer (RKC or non-ccRCC, nccRCC). Varied treatment response in mRCC patients is observed, which presents clinical challenges/opportunities at the modern mRCC therapeutic landscape consisting of 12 approved drugs representing 6 different effective mechanisms. Key contributing factors include inter- and intra-RCC heterogeneity. With the advances in pan-omics technologies, we now have a better understanding of the molecular pathobiology of individual RCC subtype. Here, we attempt to classify ccRCC based on contemporary molecular features with emphasis on their respective potential significance in clinical practice.

Indexed as

biomarkersgenomicsKidney cancermetabolomicsmolecular classificationprecision medicineproteomicstherapeuticstranscriptomics

Identifiers

PMID30334000
PMCPMC6179110
OpenAlexW2739555846

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.