Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 35 min ago
Peer-reviewedCC BY 4.0Frontiers in Oncology

Residual disease as a therapy-remodeled ecosystem: spatial niches, tumor persistence, and relapse in solid tumors

  1. 1Faculty of Medicine, University of Novi Sad
  2. 2Oncology Institute of Vojvodina
  3. 3University Clinical Center of Vojvodina

Abstract

Residual disease comprises the malignant burden that remains after treatment, including low-volume lesions and clinically occult reservoirs. Surviving cells encounter a tissue environment altered by cell death, inflammation, repair, stromal activation, vascular injury, and metabolic stress. These changes can support spatially restricted persistence, but co-localization alone does not establish a protective niche. This narrative review links therapy-associated tissue remodeling to the location and state of residual cells and to the timing of potential relapse-directed intervention. We distinguish molecular residual disease, treatment-tolerant persister states, dormancy, and stable resistance, and separate selection of pre-existing populations from experimentally demonstrated state induction. Across chemotherapy, radiotherapy, targeted therapy, endocrine therapy, and immunotherapy, we distinguish human observational or trial evidence from mechanistic findings in mouse models, organoids, and cell culture. We organize niche evidence into spatial enrichment, association with a residual-cell state, selective perturbation, and an effect on reactivation or relapse. Examples illustrate dose-dependent radiation responses, multifactorial stromal protection, context-dependent immune surveillance, and collateral metabolic vulnerabilities. Longitudinal spatial profiling, lineage analysis, spatial pharmacology, and clinically informative circulating tumor DNA studies offer complementary information; molecular detection does not identify a particular tissue niche or directly demonstrate viable residual cells. Four therapeutic windows are proposed as research strategies rather than a validated clinical classification. Their utility depends on the interaction being required, the drug reaching the relevant region, and acceptable effects on normal repair and tumor-restraining functions. Limited paired human sampling and the compressed timescale of experimental models remain major constraints on translation.

Related

  1. Dissecting residual disease in spheroids reveals pan-cancer persistence signatures and a therapeutic window for oncolytic viruses
    Clara Fauveau, Emily Lawendy, Jules Deforges +6
    Molecular Therapy: OncologyPeer-reviewedCC BY 4.0Full textGeneral biochemistryGeneral biologyHAL
  2. Minimal residual disease in cervical cancer: biological persistence, ctHPV DNA-guided surveillance, and recurrence-directed intervention.
    Jing Wu, Teng Wang, Chunyue Sheng +1
    Frontiers in oncologyPeer-reviewedCC BYFull textEpidemiology & public healthEurope PMC
  3. Successful Postpartum CAR T-cell Salvage Therapy for Primary Mediastinal Large B-cell Lymphoma with Residual Disease after R-CHOP During Pregnancy
    Misaki Uemura, Atsushi Marumo, Yuta Kaito +7
    Internal MedicinePeer-reviewedCC BY-NC-NDFull textGeneral medicineJ-STAGE
  4. Residual Invasive Disease After Neoadjuvant Therapy in Triple-Negative Breast Cancer: Risk Stratification and Postoperative Radiotherapy-Pembrolizumab Integration.
    Xinyu Jia, Eerdemutu, Yuan Ren +4
    Cancer management and researchPeer-reviewedCC BY-NCFull textOncologyEurope PMCPMC
  5. Residual Risk From Remnant Cholesterol and Inflammation Despite Lipid‐Lowering Therapy and Association With Incident Peripheral Artery Disease in Type 2 Diabetes
    Ruoxi Liao, Zhiwen Xiao, Chixiong Huang +7
    Journal of the American Heart AssociationPeer-reviewedCC BY-NC-NDFull textSurgery & anaesthesiaCrossrefDOAJ
BibTeX
@article{bunovic2026residual,
  title = {{Residual disease as a therapy-remodeled ecosystem: spatial niches, tumor persistence, and relapse in solid tumors}},
  author = {Nataša Prvulović Bunović and Olivera Ivanov and Saima Korać and Nikola Denda and Ivana Majkić and Nemanja Maletin},
  journal = {Frontiers in Oncology},
  year = {2026},
  month = oct,
  doi = {10.3389/fonc.2026.2004743},
  url = {https://www.frontiersin.org/articles/10.3389/fonc.2026.2004743/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Residual disease as a therapy-remodeled ecosystem: spatial niches, tumor persistence, and relapse in solid tumors
AU  - Nataša Prvulović Bunović
AU  - Olivera Ivanov
AU  - Saima Korać
AU  - Nikola Denda
AU  - Ivana Majkić
AU  - Nemanja Maletin
PY  - 2026
DA  - 2026/10/27
JO  - Frontiers in Oncology
DO  - 10.3389/fonc.2026.2004743
UR  - https://www.frontiersin.org/articles/10.3389/fonc.2026.2004743/full
AB  - Residual disease comprises the malignant burden that remains after treatment, including low-volume lesions and clinically occult reservoirs. Surviving cells encounter a tissue environment altered by cell death, inflammation, repair, stromal activation, vascular injury, and metabolic stress. These changes can support spatially restricted persistence, but co-localization alone does not establish a protective niche. This narrative review links therapy-associated tissue remodeling to the location and state of residual cells and to the timing of potential relapse-directed intervention. We distinguish molecular residual disease, treatment-tolerant persister states, dormancy, and stable resistance, and separate selection of pre-existing populations from experimentally demonstrated state induction. Across chemotherapy, radiotherapy, targeted therapy, endocrine therapy, and immunotherapy, we distinguish human observational or trial evidence from mechanistic findings in mouse models, organoids, and cell culture. We organize niche evidence into spatial enrichment, association with a residual-cell state, selective perturbation, and an effect on reactivation or relapse. Examples illustrate dose-dependent radiation responses, multifactorial stromal protection, context-dependent immune surveillance, and collateral metabolic vulnerabilities. Longitudinal spatial profiling, lineage analysis, spatial pharmacology, and clinically informative circulating tumor DNA studies offer complementary information; molecular detection does not identify a particular tissue niche or directly demonstrate viable residual cells. Four therapeutic windows are proposed as research strategies rather than a validated clinical classification. Their utility depends on the interaction being required, the drug reaching the relevant region, and acceptable effects on normal repair and tumor-restraining functions. Limited paired human sampling and the compressed timescale of experimental models remain major constraints on translation.
SN  - 2234-943X
ER  -