Parameters That May Predict NAC Effectiveness in Hormone-Positive Breast Cancer According to CPS Score

ypN was associated with the CPS score in predicting survival following NAC in hormone-positive breast cancer. No statistically significant association was observed between inflammatory or metabolic parameters and the CPS score. Further validation in larger studies is warranted.

Authors

Institutions

Publication Details

Journal
Cancer Management and Research
Published
2026-01-01
DOI
https://doi.org/10.2147/cmar.s569515
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parameters That May Predict NAC Effectiveness in Hormone-Positive Breast Cancer According to CPS Score

Salim Başol Tekin, Mehmet Bilici, Zekeriya Hannarici, Pınar Çoban Eşdur et al.
Cancer Management and Research
Breast Cancer Treatment Studies
article

Parameters That May Predict NAC Effectiveness in Hormone-Positive Breast Cancer According to CPS Score

Salim Başol Tekin, Mehmet Bilici, Zekeriya Hannarici, Pınar Çoban Eşdur, Mehmet Buyukbayram, Aykut Turhan, Canan Dinar Ayman, Alperen Çağlar
article en

Abstract

ypN was associated with the CPS score in predicting survival following NAC in hormone-positive breast cancer. No statistically significant association was observed between inflammatory or metabolic parameters and the CPS score. Further validation in larger studies is warranted.

Cancer Management and ResearchVol. Volume 18
Ministry of Health (TR), Sağlık Bilimleri Üniversitesi (TR), S.B.Ü. Bursa Yüksek İhtisas Eğitim ve Araştırma Hastanesi (TR), Atatürk University (TR), Ordu University (TR)
Good health and well-being
Openalex Percentile: Top 95%
Breast Cancer Treatment Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Parameters That May Predict NAC Effectiveness in Hormone-Positive Breast Cancer According to CPS Score — Salim Başol Tekin, Mehmet Bilici, et al. · Cancer Management and Research (2026) | TGRS Research Map | TGRS