Treatment History and the Accessibility of Future Tumor States: From Current Response to History-Dependent Adaptation

Cancer treatment is commonly evaluated through measurable changes in the present tumor state. However, therapy can also modify how a tumor and its surrounding biological system respond to subsequent challenges. Drug-tolerant persister states, phenotypic plasticity, treatment-induced remodeling of the tumor microenvironment, and acquired resistance suggest that interaction history may remain functionally relevant even after an acute treatment response has subsided. We propose considering this history-dependent future response potential in terms of changes in the probability, timing, persistence, and resource requirements of subsequent state transitions. Importantly, consequences of prior treatment may be distributed beyond residual malignant cells across stromal, immune, extracellular, and systemic compartments. Longitudinal single-cell profiling, lineage tracing, patient-derived organoids, and tumor explants increasingly make these differences experimentally accessible. This perspective does not replace established mechanisms of resistance; it provides a relational framework for asking how previous treatment changes what the tumor–host system can make possible next. Preprint v1.0. This manuscript has not undergone peer review.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22670558
Primary Topic
Cancer Cells and Metastasis
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

Treatment History and the Accessibility of Future Tumor States: From Current Response to History-Dependent Adaptation

Claudiu Ionuț Cantaragiu
Zenodo (CERN European Organization for Nuclear Research)
Cancer Cells and Metastasis
preprint

Treatment History and the Accessibility of Future Tumor States: From Current Response to History-Dependent Adaptation

Claudiu Ionuț Cantaragiu
preprint en

Abstract

Cancer treatment is commonly evaluated through measurable changes in the present tumor state. However, therapy can also modify how a tumor and its surrounding biological system respond to subsequent challenges. Drug-tolerant persister states, phenotypic plasticity, treatment-induced remodeling of the tumor microenvironment, and acquired resistance suggest that interaction history may remain functionally relevant even after an acute treatment response has subsided. We propose considering this history-dependent future response potential in terms of changes in the probability, timing, persistence, and resource requirements of subsequent state transitions. Importantly, consequences of prior treatment may be distributed beyond residual malignant cells across stromal, immune, extracellular, and systemic compartments. Longitudinal single-cell profiling, lineage tracing, patient-derived organoids, and tumor explants increasingly make these differences experimentally accessible. This perspective does not replace established mechanisms of resistance; it provides a relational framework for asking how previous treatment changes what the tumor–host system can make possible next. Preprint v1.0. This manuscript has not undergone peer review.

Zenodo (CERN European Organization for Nuclear Research)
Cancer Cells and Metastasis
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.

Treatment History and the Accessibility of Future Tumor States: From Current Response to History-Dependent Adaptation — Claudiu Ionuț Cantaragiu · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS