Search PubMedSearch

PubMed · 42340618

Quality of life with palbociclib plus tamoxifen in hormone receptor-positive, HER2-negative advanced breast cancer: results from PATHWAY, an Asian international, double-blind, randomized phase 3 trial.

Abstract

BACKGROUND: In the Asian international PATHWAY trial, palbociclib-tamoxifen demonstrated improved progression-free survival compared with placebo-tamoxifen in patients with HR+/HER2- locally advanced or metastatic breast cancer (ABC). This analysis compared quality of life (QoL) between treatment arms. METHODS: Pre/peri or postmenopausal women with HR+/HER2- ABC were randomly assigned 1:1 to receive palbociclib-tamoxifen or placebo-tamoxifen. Patient-reported outcomes were assessed on day 1 of cycles 1 (baseline), 4, and 7, and at the end of treatment (EOT) using the EORTC QLQ-C30 and QLQ-BR23 questionnaires. Least-square mean (LSM) changes in scores from baseline were calculated. Kaplan-Meier method was used to calculate time to deterioration (TTD) in the minimally important difference (MID) in the pain subscale. RESULTS: In the comparison between treatment arms, no significant differences were observed in LSM changes in scores from baseline in global QoL (cycle 4: 0.70 [95% confidence interval (CI): -5.00, 6.41]; cycle 7: 2.17 [95% CI: -4.14, 8.48]; EOT: -5.19 [95% CI: -11.64, 1.26]). For both the EORTC QLQ-C30 and QLQ-BR23 functional and symptom subscales, no clinically meaningful differences between treatment arms were found in the LSM changes in scores from baseline. Median TTD in the MID in the pain subscale was 32.5 months (95% CI: 11.7, not estimable) for the palbociclib-tamoxifen arm and 21.2 months (95% CI: 5.5, 43.5) for the placebo-tamoxifen arm (hazard ratio = 0.729 [95% CI: 0.467, 1.138]). CONCLUSIONS: The combination of palbociclib and tamoxifen delayed deterioration in patients' QoL while they experienced reduced risk for disease progression. TRIAL REGISTRATION: ClinicalTrials.gov: NCT03423199; study registration date: February 6, 2018.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Takashi Yamanaka, Joohyuk Sohn, Kazuki Sudo, Hirofumi Mukai, Naohito Yamamoto, Chi-Feng Chung, Yen-Shen Lu, Kyung-Hun Lee, Soo-Chin Lee, Tsutomu Iwasa, Hiroji Iwata, Kenichi Watanabe, Kyung Hae Jung, Yuko Tanabe, Seok Yun Kang, Hiroyuki Yasojima, Kenjiro Aogi, Eriko Tokunaga, Sung Hoon Sim, Yoon Sim Yap, Koji Matsumoto, Ling-Ming Tseng, Yoshiko Umeyama, Emi Noguchi, Tomomi Hata, Aya Kuchiba, Taro Shibata, Kenichi Nakamura, Yasuhiro Fujiwara, Kenji Tamura, Kan Yonemori. 2026-06-24. Quality of life with palbociclib plus tamoxifen in hormone receptor-positive, HER2-negative advanced breast cancer: results from PATHWAY, an Asian international, double-blind, randomized phase 3 trial.. https://doi.org/10.1007/s12282-026-01865-0

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans