Background: Axitinib is a widely used tyrosine kinase inhibitor (TKI) in metastatic renal cell carcinoma (mRCC) treatment. Here, we analyzed the characteristics of patients who did not respond to axitinib and evaluated alternative options for their treatment.

Methods: We retrospectively analyzed data for 449 patients with mRCC who were administered axitinib following another TKI as initial therapy. Patients with progressive disease (PD) at their first assessment were defined as showing early-PD. We analyzed the characteristics of patients at risk of early-PD and evaluated the relationship between the treatment following axitinib and their prognosis.

Results: Early-PD was diagnosed in 102 patients, and was more common in those who had not undergone nephrectomy (p < 0.001), those treated with a TKI for a short period (p < 0.001), and those in the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) poor risk category for mRCC (p < 0.001). Multivariate analysis showed that these were independent risk factors for early-PD (all p < 0.001). Of those with early-PD, 52 changed to next-line treatment. The progression-free survival periods were 5.5 (95% confidence interval (CI) 2.4-8.6) months for patients administered TKIs, 4.2 (95% CI 0.3-8.1) months for those on nivolumab, and 2.2 (1.8-2.6) months for those on mammalian target of rapamycin inhibitors (p = 0.030).

Conclusion: Patients who have not undergone nephrectomy, those previously treated with another TKI for a short period, and those in the IMDC poor risk category are more likely to experience early-PD when taking axitinib. Furthermore, TKIs are the best treatment for patients with early-PD who have previously been administered axitinib.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10147-025-02715-3DOI Listing

Publication Analysis

Top Keywords

characteristics patients
12
metastatic renal
8
renal cell
8
cell carcinoma
8
respond axitinib
8
analyzed characteristics
8
axitinib
5
patients
5
patients metastatic
4
carcinoma respond
4

Similar Publications

Risk Prediction Models for Sentinel Node Positivity in Melanoma: A Systematic Review and Meta-Analysis.

JAMA Dermatol

March 2025

Department of Surgery, Arthur J.E. Child Comprehensive Cancer Centre, University of Calgary, Calgary, Alberta, Canada.

Importance: There is a need to identify the best performing risk prediction model for sentinel lymph node biopsy (SLNB) positivity in melanoma.

Objective: To comprehensively review the characteristics and discriminative performance of existing risk prediction models for SLNB positivity in melanoma.

Data Sources: Embase and MEDLINE were searched from inception to May 1, 2024, for English language articles.

View Article and Find Full Text PDF

Background: Body dysmorphic disorder (BDD), characterized by an obsessive focus on perceived flaws in appearance and affects approximately 0.7% through 2.4% of the general population, with dental-related concerns accounting for 20% of cases.

View Article and Find Full Text PDF

Background: The few reported patients with pathogenic IRF8 variants have manifested 2 distinct phenotypes: (1) an autosomal recessive severe immunodeficiency with significant neutrophilia and absence of or significant decrease in monocytes and dendritic cells and (2) a dominant-negative form with only a decrease in conventional type 2 dendritic cells (cDC2s) and susceptibility to mycobacterial disease.

Objectives: Genetic testing of a child with persistent EBV viremia identified a novel IRF8 variant: c.1279dupT (p.

View Article and Find Full Text PDF

Despite growing interest in personalized psychotherapy research, little is known about therapists' current practice of personalizing psychotherapy. This study aimed to examine the extent to which psychotherapists engage in personalized treatment selection (PTS), i.e.

View Article and Find Full Text PDF

Glioblastoma multiforme (GBM) is the most aggressive type of brain tumor, characterized by its heterogeneity in cellular components, including reactive astrocytes and microglia. Since neuroimmune responses like astrogliosis and microgliosis gain recognition as vital factors in brain tumor progression, there is a growing need for clinically relevant models that assess the interactions between astrocytes, microglia, and GBM. Here, a NEuroimmune-Oncology Microphysiological Analysis Platform (NEO-MAP) is presented as a "new map" to observe astrocytic scar formation and microgliosis in response to GBM.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!