• Home
  • Search
  • Nomograms Integrating Body Composition Metrics Predict Total Pathologic Complete Remission after Neoadjuvant Systemic Therapy for Breast Cancer.
  • https://doi.org/10.4143/crt.2025.456Copy DOI Icon

Nomograms Integrating Body Composition Metrics Predict Total Pathologic Complete Remission after Neoadjuvant Systemic Therapy for Breast Cancer.

Show More
  • Abstract
  • Literature Map
  • Similar Papers
Abstract

Neoadjuvant systemic therapy (NST) is a systemic treatment for locally advanced or initially unresectable breast cancer before surgery. Patients achieved total pathological complete response (tpCR) after NST exhibited significantly better overall prognosis than patients with non-pCR. This study collected baseline indicators, body composition indicators and tpCR results of breast cancer patients at the First Affiliated Hospital of Nanjing Medical University. Patients were divided into training set and validation set in a ratio of 7:3. Univariate and multivariate logistic regression analyses were performed, and the probability of tpCR was predicted by constructing nomograms based on the results of the multivariate logistic regression analysis. The study included 500 patients between 2014 and 2022 with breast cancer who underwent NST. The training set and validation set consist of 350 and 150 patients respectively. Patients with progesterone receptor-negative status (p < 0.001), HER2 receptor-positive status (p < 0.001), large body surface area (p=0.091), low skeletal muscle index (p=0.008), and high skeletal muscle density (p < 0.004) were more likely to achieve tpCR. Patients with American Joint Committee on Cancer (AJCC) T-stage 4 (p=0.126), AJCC N-stage 1 (p=0.026) were less likely to achieve tpCR. Existing tpCR prediction models mostly focus on tumor biological characteristics and ignore the effect of body compositions. This study constructed a nomogram to predict tpCR in patients with breast cancer undergoing NST based on baseline and body composition indicators. This nomogram can help assess efficacy and optimize treatment strategies, thus improving the overall prognosis of patients.

Similar Papers
  • Research Article

Abstract P3-11-15: Different clinical usefulness of AJCC response criteria according to the subtypes in stage II/III breast cancer patients after neoadjuvant chemotherapy

  • Apr 30, 2015
  • Cancer Research
  • Yaewon Yang +11
  • Research Article
  • Citations6

A survey of Australian and New Zealand clinical practice with neoadjuvant systemic therapy for breast cancer.

  • Jun 01, 2016
  • Internal Medicine Journal
  • N Zdenkowski +7
  • Research Article
  • Citations18

Clinical Usefulness of AJCC Response Criteria for Neoadjuvant Chemotherapy in Breast Cancer

  • Mar 26, 2013
  • Annals of Surgical Oncology
  • Bhumsuk Keam +13
  • PDF
  • Research Article
  • Citations12

Multiparameter body composition analysis on chest CT predicts clinical outcomes in resectable non-small cell lung cancer

  • Feb 06, 2025
  • Insights into Imaging
  • Yilong Huang +11
  • Research Article

Abstract OT1-07-01: Omission of SLNB in triple-negative and HER2-positive breast cancer patients with radiologic and pathologic complete response in the breast after NAST: a single-arm, prospective surgical trial (EUBREAST-01 trial, GBG 104)

  • Mar 01, 2023
  • Cancer Research
  • Toralf Reimer +16
  • Research Article

Abstract PS6-23: Comparison between the American joint committee on cancer (AJCC) anatomic and prognostic stages for breast cancer

  • Feb 15, 2021
  • Cancer Research
  • Mariana Soares Cardoso +5
  • Research Article
  • Citations1

Neoadjuvant systemic therapy for breast cancer: the Westmead experience.

  • Sep 18, 2017
  • ANZ Journal of Surgery
  • Annelise M Cocco +10
  • Research Article
  • Citations3

Disease extent according to baseline [18F]fluorodeoxyglucose PET/CT and molecular subtype: prediction of axillary treatment response after neoadjuvant systemic therapy for breast cancer

  • Aug 30, 2024
  • The British Journal of Surgery
  • Florien J G Van Amstel +35
  • PDF
  • Research Article
  • Citations11

Neoadjuvant Systemic Therapy for Breast Cancer: Factors Influencing Surgeons’ Referrals

  • Jan 01, 2016
  • Annals of Surgical Oncology
  • Eleftherios Mamounas +5
  • Research Article

Cells to Surgery Quiz: May 2019

  • Apr 19, 2019
  • Journal of Investigative Dermatology
  • Basia M Michalski +2
  • Preprint Article

Data from Body Composition as a Predictor of Toxicity in Patients Receiving Anthracycline and Taxane–Based Chemotherapy for Early-Stage Breast Cancer

  • Mar 31, 2023
  • Shlomit Strulov Shachar +7
  • Research Article
  • Citations27

Excision of both pretreatment marked positive nodes and sentinel nodes improves axillary staging after neoadjuvant systemic therapy in breast cancer.

  • Oct 08, 2019
  • The British journal of surgery
  • J M Simons +11
  • Research Article

Abstract P5-08-02: Improving the AJCC breast cancer staging system by incorporating tumor biomarkers

  • Feb 14, 2017
  • Cancer Research
  • M Chavez-Macgregor +5
  • Research Article
  • Citations2

Role of imaging based response assesment for adapting neoadjuvant systemic therapy for breast cancer: A systematic review.

  • Jun 01, 2025
  • European journal of radiology
  • Oguz Lafci +5
  • Research Article
  • Citations72

Neoadjuvant Systemic Therapy in Breast Cancer: Association of Contrast-enhanced MR Imaging Findings, Diffusion-weighted Imaging Findings, and Tumor Subtype with Tumor Response

  • Nov 22, 2016
  • Radiology
  • Gorane Santamaría +5
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.