Immune-checkpoint blockade transforms outcomes for some patients and fails others, and tumor mutational burden alone doesn't explain the gap. Tertiary lymphoid structures (TLSs) — organized immune aggregates that assemble inside tumors — have emerged among the strongest predictors of who responds. This review maps how TLSs are defined, detected, and graded across cancer types; why their maturity and location govern prognosis and immunotherapy response; and the preclinical strategies now being tested to build TLSs in tumors that lack them.
Published in Med (Cell Press), this comprehensive review was led by Florent Peyraud — an Institut Bergonié oncologist who completed his PhD at Explicyte under Prof. Antoine Italiano — with senior authorship from Alban Bessede and Antoine Italiano. Explicyte’s translational team co-authored the work and contributed original digital-pathology and multiplex-immunofluorescence imaging of TLSs at different maturation stages (Figures 1 and 2), drawing on the standardized mature-TLS scoring methodology the group developed and validated across thousands of tumor samples.
For drug developers, TLSs offer a biomarker that predicts immunotherapy benefit where TMB and PD-L1 fall short — and a therapeutic target in their own right.
Mature TLSs predict checkpoint-inhibitor benefit independently of PD-L1 and CD8+ T-cell infiltration, making them a candidate stratifier for trials in tumors where existing biomarkers underperform. For combination-regimen developers, TLS-inducing agents — from CXCL13 and LIGHT to STING and TLR9 agonists — offer a route to convert cold tumors into responsive ones. Both hinge on reliable, standardized TLS detection and scoring, which is where validated grading algorithms and digital pathology become decisive.