Evidence map›Paper›PMID 37874628›Full record

ReviewClinical cancer research : an official journal of the American Association for Cancer Research2024

Management of Renal Cell Carcinoma: Promising Biomarkers and the Challenges to Reach the Clinic.

Iben Lyskjær, Laura Iisager, Christian Tang Axelsen, Tommy Kjærgaard Nielsen, Lars Dyrskjøt, Niels Fristrup

Open access · hybridAbstract readReview
In one paragraph

Review in Clinical cancer research : an official journal of the American Association for Cancer Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 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

6 authors at 1 institution in 1 country.

Iben LyskjærDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0003-3446-1182
Laura IisagerDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-5704-0586
Christian Tang AxelsenDepartment of Oncology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0003-1003-6675
Tommy Kjærgaard NielsenDepartment of Urology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-4379-1979
Lars DyrskjøtDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0001-7061-9851
Niels FristrupDepartment of Oncology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0009-0006-4442-0535
Aarhus University Hospital · DK

Funding

Lundbeck Foundation (Lundbeckfonden) R413-2022-606
6 · The paper itself

Abstract

The incidence of renal cell carcinoma (RCC) is increasing worldwide, yet research within this field is lagging behind other cancers. Despite increased detection of early disease as a consequence of the widespread use of diagnostic CT scans, 25% of patients have disseminated disease at diagnosis. Similarly, around 25% progress to metastatic disease following curatively intended surgery. Surgery is the cornerstone in the treatment of RCC; however, when the disease is disseminated, immunotherapy or immunotherapy in combination with a tyrosine kinase inhibitor is the patient's best option. Immunotherapy is a potent treatment, with durable treatment responses and potential to cure the patient, but only half of the patients benefit from the administered treatment, and there are currently no methods that can identify which patients will respond to immunotherapy. Moreover, there is a need to identify the patients in greatest risk of relapsing after surgery for localized disease and direct adjuvant treatment there. Even though several molecular biomarkers have been published to date, we are still lacking routinely used biomarkers to guide optimal clinical management. The purpose of this review is to highlight some of the most promising biomarkers, discuss the efforts made within this field to date, and describe the barriers needed to be overcome to have reliable and robust predictive and prognostic biomarkers in the clinic for renal cancer.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsBiomarkers, TumorHumansImmunotherapyNeoplasm Recurrence, LocalBiomarkers, Tumor

Identifiers

PMID37874628
PMCPMC10870122
OpenAlexW4387893703

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.