Impact of protein–energy malnutrition on outcomes of metastatic triple-negative breast cancer patients receiving chemotherapy: A real-world analysis.

1135 Background: Protein–energy malnutrition (PEM) is common in patients with advanced cancer and is associated with increased toxicity, decreased treatment tolerance, and worse survival across malignancies. Data specific to metastatic triple-negative breast cancer (mTNBC), a biologically aggressive subtype, remain scarce. We evaluated the impact of PEM on outcomes in mTNBC patients receiving chemotherapy. Methods: We conducted a retrospective cohort study using de-identified data from TriNetX, a global federated health research network. Females with mTNBC on chemotherapy (paclitaxel, doxorubicin, capecitabine, eribulin, vinolrebine) were identified. PEM was defined using ICD-10 codes along with secondary definitions like BMI (<20). The primary endpoint was overall survival (OS), estimated using the Kaplan-Meier method. Propensity matching was used to adjust for age, race and comorbidities. Two sided p≤0.05 was used to determine statistical significance. Results: A total of 1,644 patients with mTNBC were identified, of whom 761(46.3%) patients had PEM. The mean age was higher in the PEM group compared to the non-PEM group (64.5 vs 63 years, p <0.05). African American patients were more likely to have PEM (37.0% vs 31.4%, p =0.02). After propensity score matching, 595 patients were included in each cohort for analysis. Patients with PEM had significantly worse 1-year OS compared to non-PEM group (65.7% vs 70.8%; HR 0.76, 95% CI 0.62–0.94, p <0.05). At 2 years, survival remained numerically lower in the PEM group (56.2% vs 57.8%; HR 0.92, 95% CI 0.76–1.12), but the difference was not statistically significant. Conclusions: In this large real-world cohort of mTNBC, PEM was independently associated with worse 1-year overall survival. These findings underscore the prognostic significance of nutritional status in mTNBC and support routine nutritional assessment and early supportive interventions to improve outcomes in this high-risk population. Overall survival (OS) outcomes in matched mTNBC cohorts. Overall Survival PEM Group (n=595) Non-PEM Group (n=595) Hazard Ratio (95% CI) P-value 1-Year OS 65.7% 70.8% 0.76 (0.62–0.94) <0.05 2-Year OS 56.2% 57.8% 0.92 (0.76–1.12) 0.41

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2026-05-27
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.1135
Primary Topic
Cancer Risks and Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of protein–energy malnutrition on outcomes of metastatic triple-negative breast cancer patients receiving chemotherapy: A real-world analysis.

Vasanthan Muthusamy Kumarasamy, Vaishali Deenadayalan, Kriti Ahuja, D. Randhawa et al.
Journal of Clinical Oncology
Cancer Risks and Factors
article

Impact of protein–energy malnutrition on outcomes of metastatic triple-negative breast cancer patients receiving chemotherapy: A real-world analysis.

Vasanthan Muthusamy Kumarasamy, Vaishali Deenadayalan, Kriti Ahuja, D. Randhawa, Malak Alharbi
article en

Abstract

1135 Background: Protein–energy malnutrition (PEM) is common in patients with advanced cancer and is associated with increased toxicity, decreased treatment tolerance, and worse survival across malignancies. Data specific to metastatic triple-negative breast cancer (mTNBC), a biologically aggressive subtype, remain scarce. We evaluated the impact of PEM on outcomes in mTNBC patients receiving chemotherapy. Methods: We conducted a retrospective cohort study using de-identified data from TriNetX, a global federated health research network. Females with mTNBC on chemotherapy (paclitaxel, doxorubicin, capecitabine, eribulin, vinolrebine) were identified. PEM was defined using ICD-10 codes along with secondary definitions like BMI (<20). The primary endpoint was overall survival (OS), estimated using the Kaplan-Meier method. Propensity matching was used to adjust for age, race and comorbidities. Two sided p≤0.05 was used to determine statistical significance. Results: A total of 1,644 patients with mTNBC were identified, of whom 761(46.3%) patients had PEM. The mean age was higher in the PEM group compared to the non-PEM group (64.5 vs 63 years, p <0.05). African American patients were more likely to have PEM (37.0% vs 31.4%, p =0.02). After propensity score matching, 595 patients were included in each cohort for analysis. Patients with PEM had significantly worse 1-year OS compared to non-PEM group (65.7% vs 70.8%; HR 0.76, 95% CI 0.62–0.94, p <0.05). At 2 years, survival remained numerically lower in the PEM group (56.2% vs 57.8%; HR 0.92, 95% CI 0.76–1.12), but the difference was not statistically significant. Conclusions: In this large real-world cohort of mTNBC, PEM was independently associated with worse 1-year overall survival. These findings underscore the prognostic significance of nutritional status in mTNBC and support routine nutritional assessment and early supportive interventions to improve outcomes in this high-risk population. Overall survival (OS) outcomes in matched mTNBC cohorts. Overall Survival PEM Group (n=595) Non-PEM Group (n=595) Hazard Ratio (95% CI) P-value 1-Year OS 65.7% 70.8% 0.76 (0.62–0.94) <0.05 2-Year OS 56.2% 57.8% 0.92 (0.76–1.12) 0.41

Journal of Clinical OncologyVol. 44(16_suppl)
Roswell Park Comprehensive Cancer Center (US), King Abdulaziz University (SA), Erie County Medical Center (US)
Zero hunger
Openalex Percentile: Top 10%
Cancer Risks and Factors
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.