Early temporal transcriptional and cytokine responses distinguish chemotherapy sensitivity in patient-derived xenograft models of triple-negative breast cancer

Chemotherapy remains the backbone of neoadjuvant treatment for triple-negative breast cancer (TNBC), and response to chemotherapy strongly correlates with patient prognosis. However, predicting chemoresistance remains a major clinical challenge. To address this obstacle, we performed serial fine needle aspirations followed by RNA-sequencing on patient-derived xenograft (PDX) models of TNBC that were either chemoresponsive or chemoresistant. We found that these two classes of PDX models exhibited distinct transcriptional trajectories that diverged within one week of chemotherapy initiation, preceding measurable changes in tumor volume. At early time points, chemoresponsive tumors showed activation of apoptotic and cytokine-related pathways, while these changes were absent in chemoresistant models. Notably, cytokine upregulation in chemoresponsive tumors coincided with infiltration of myeloid-derived immune cells into the tumor bed within seven days of chemotherapy, indicating active microenvironment remodeling, even in mice lacking a fully intact immune system. Analysis of paired biopsies from patients with TNBC collected before treatment and within four days of the first chemotherapy dose revealed a consistent pattern: chemoresponsive tumors upregulated inflammatory pathways, whereas chemoresistant tumors showed diminished activation of these pathways. These results underscore the potential clinical value of early on-treatment tumor sampling to detect chemoresistance and guide therapeutic intervention.

Authors

Institutions

Publication Details

Journal
Oncogene
Published
2026-11-02
DOI
https://doi.org/10.1038/s41388-026-04041-y
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Early temporal transcriptional and cytokine responses distinguish chemotherapy sensitivity in patient-derived xenograft models of triple-negative breast cancer

W. Fraser Symmans, Jeffrey T. Chang, Sabrina L. Jeter-Jones, Amanda L. Rinkenbaugh et al.
2 links
Oncogene
Breast Cancer Treatment Studies
article

Early temporal transcriptional and cytokine responses distinguish chemotherapy sensitivity in patient-derived xenograft models of triple-negative breast cancer

W. Fraser Symmans, Jeffrey T. Chang, Sabrina L. Jeter-Jones, Amanda L. Rinkenbaugh, Gloria Vittone Echeverria, Helen M. Piwnica-Worms, Jiansu Shao, Shirong Cai, Xiaomei Zhang, Chunxiao Fu, Yuan Qi
article en

Abstract

Chemotherapy remains the backbone of neoadjuvant treatment for triple-negative breast cancer (TNBC), and response to chemotherapy strongly correlates with patient prognosis. However, predicting chemoresistance remains a major clinical challenge. To address this obstacle, we performed serial fine needle aspirations followed by RNA-sequencing on patient-derived xenograft (PDX) models of TNBC that were either chemoresponsive or chemoresistant. We found that these two classes of PDX models exhibited distinct transcriptional trajectories that diverged within one week of chemotherapy initiation, preceding measurable changes in tumor volume. At early time points, chemoresponsive tumors showed activation of apoptotic and cytokine-related pathways, while these changes were absent in chemoresistant models. Notably, cytokine upregulation in chemoresponsive tumors coincided with infiltration of myeloid-derived immune cells into the tumor bed within seven days of chemotherapy, indicating active microenvironment remodeling, even in mice lacking a fully intact immune system. Analysis of paired biopsies from patients with TNBC collected before treatment and within four days of the first chemotherapy dose revealed a consistent pattern: chemoresponsive tumors upregulated inflammatory pathways, whereas chemoresistant tumors showed diminished activation of these pathways. These results underscore the potential clinical value of early on-treatment tumor sampling to detect chemoresistance and guide therapeutic intervention.

Oncogene
The University of Texas MD Anderson Cancer Center (US), Baylor College of Medicine (US), The University of Texas Health Science Center (US), The University of Texas Health Science Center at Houston (US)
Cancer Prevention and Research Institute of Texas, National Institutes of Health
Good health and well-being
Openalex Percentile: Top 18%
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.

Laika access coming soon