Submitted:
29 October 2026
Posted:
30 October 2026
You are already at the latest version
Abstract
Adoptive cell therapy (ACT) has transformed the treatment of hematological malignancies but largely fails against solid tumors; the biological basis of this divide has rarely been quantified across cancer types. We analyzed uniformly reprocessed RNA-seq data (Toil pipeline) from TCGA (9,359 tumors, 33 cancer types), TARGET (734 pediatric tumors), and GTEx (7,862 normal samples). A 132-gene panel yielded T/natural killer (NK) infiltration, functional, metabolic, and stromal scores, integrated into a composite Solid Tumor Immune Accessibility Score (STIAS); six public single-cell datasets provided cellular validation. Median T- and NK-cell infiltration was about 30% lower in solid than in hematological tumors—a gap reflecting tissue of origin rather than recruitment failure. Single-cell analysis revealed per-cell enrichment of exhausted T-cell programs in solid tumors (23.6% versus 8.9%) and NKG2A upregulation on colorectal-tumor NK cells, while the dominant cohort-level barriers were stromal (extracellular matrix 3.79-fold) and metabolic (IDO pathway 1.27-fold). STIAS classified 14.5% of solid tumors as hematological-like “Accessible” phenotypes—reproduced in the pediatric TARGET cohort and enriched for the C2 (IFN-γ–dominant) immune subtype (26.4% versus 3.5%)—with each 0.1-unit increase associating with 46% and 40% higher hazard of death and progression. A bidirectional target atlas validated epithelial antigens (MUC1, ERBB2, CLDN18, CEACAM5, FAP, CD73) at the protein level and mapped hematological off-tumor risks; hematological-lineage signals (CD38, BCMA) proved predominantly immune-infiltrate-derived. Stromal–metabolic barriers dominate the solid tumor–specific axes of ACT resistance; STIAS-guided stratification and microenvironment reprogramming may extend cellular immunotherapy to solid malignancies.
Keywords:
adoptive cell therapy
; CAR-T
; CAR-NK
; solid tumor
; tumor microenvironment
; immunogenomics
; pan-cancer analysis
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.