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Updated: Aug 16, 2026

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Early prediction of pathological complete response in rectal cancer: a dynamic immune remodeling hypothesis during
Serdar Gumus1, Cem Kaan Parsak1
1Department of Surgical Oncology, Faculty of Medicine, Çukurova University, Adana, Türkiye.
Abstract:
Achieving pathological complete response (pCR) after neoadjuvant treatment has become one of the most influential outcomes shaping organ preservation strategies, treatment intensification protocols, and long-term oncological decision-making in locally advanced rectal cancer (LARC). Current response assessment, however, remains dependent on delayed structural evaluations - magnetic resonance imaging (MRI), endoscopy, and postoperative pathology - that measure the consequences of tumor regression rather than the biological process generating it. We hypothesize that response to neoadjuvant treatment reflects the temporal dynamics of tumor immune microenvironment (TIME) remodeling: treatment-induced immune activation may precede measurable morphological change, generating immune trajectories that diverge toward complete elimination or toward resistance. We propose that serial, biology-anchored tumor sampling - rather than a single baseline biopsy - can capture these trajectories and support earlier, biologically informed prediction of pCR and sustained clinical complete response (cCR). This article presents the biological rationale for the hypothesis, defines a four-phase mechanistic model of immune remodeling, proposes a measurable and feasibility-conscious biomarker panel with a data-driven scoring approach, states five falsifiable predictions, and outlines a prospective validation framework - including its ethical prerequisites, procedural safety considerations, and analytic handling of treatment-regimen heterogeneity and tumor spatial heterogeneity.

