Evidence map›Paper›PMID 37718781›Full record

ArticleCancer biomarkers : section A of Disease markers2023

Assessing the prognostic value of IMDC risk score for nivolumab-treated patients with renal cancer and malignant melanoma.

Ismail Beypınar, Yıldız Sözel, Arif Hakan Önder

Open access · bronzeAbstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Inflammatory Biomarkers from Blood Counts as Prognostic Tools in Metastatic Esophageal Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2025
    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

3 authors at 2 institutions in 1 country.

Ismail BeypınarDepartment of Medical Oncology, Alanya Alaaddin Keykubat University, Alanya/Antalya, Turkey.
Yıldız SözelDepartment of Radiology, Antalya Research and Education Hospital, Antalya, Turkey.
Arif Hakan ÖnderDepartment of Medical Oncology, Antalya Research and Education Hospital, Antalya, Turkey.
Antalya Eğitim ve Araştırma Hastanesi · TRAlanya University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe response of Renal Cell Cancer (RCC) to tyrosine kinase inhibitors (TKI) has been well established. Although these stratifications have been established for TKI response and prognosis, these parameters have recently been used to predict immunotherapy response in RCC. We aimed to use a combination of clinical parameters of International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) risk groups and metastatic sites at the time of diagnosis to predict the effectiveness of immune checkpoint inhibitors in malignant melanoma (MM).

methodIn this cross-sectional study, we retrospectively analyzed the demographic information, metastatic sites, and IMDC risk group data. The blood parameters were included in the first cycle of nivolumab treatment.

resultsThe OS was statistically different between the RCC and MM groups in terms of the IMDC. In univariate analysis of stage at diagnosis, CRP levels and bone and bone marrow metastases were confirmed to be prognostic factors in the MM population in terms of OS. Brain metastasis was a prognostic factor for RCC, whereas sex, line of treatment, LDH, bone, and splenic metastasis remained significant in patients with MM in terms of OS. Brain metastasis was prognostic in both cancer types in multivariate analysis in terms of PFS. In addition to brain metastasis, LDH levels and lung, liver, and splenic metastases also affect PFS in patients with MM undergoing nivolumab treatment.

conclusionIn our study, the IMDC was confirmed to be a prognostic factor for MM. The IMDC groups were similar, except for the favorable RCC and MM groups. Different metastatic sites were prognostic, similar to the IMDC risk group in the MM group.

Indexed as

Brain NeoplasmsCarcinoma, Renal CellKidney NeoplasmsMelanomaCross-Sectional StudiesCutaneous Malignant MelanomaHumansNivolumabPrognosisRetrospective StudiesNivolumabIMDC risk groupImmunotherapymalign melanomametastatic sitesnivolumabrenal cell carcinoma

Identifiers

PMID37718781
PMCPMC12412871
OpenAlexW4386768881

What OpenQuestion holds

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Registered trials

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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.