Your new experience awaits. Try the new design now and help us make it even better

GENERAL COMMENTARY article

Front. Immunol., 13 August 2025

Sec. Cancer Immunity and Immunotherapy

Volume 16 - 2025 | https://doi.org/10.3389/fimmu.2025.1654000

This article is part of the Research TopicImmune-Cancer Cell InteractionView all 13 articles

Commentary: Immunogenomic characteristics and prognostic implications of terminally exhausted CD8+ T cells in colorectal cancers

  • Shenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China

A Commentary on
Immunogenomic characteristics and prognostic implications of terminally exhausted CD8+ T cells in colorectal cancers

Lee J-A, Park HE, Lee D-W, Han S-W, Kim T-Y, Jeong S-Y, Park KJ, Bae JM and Kang GH (2025) Front. Immunol. 16:1601188. doi: 10.3389/fimmu.2025.1601188

1 Introduction

The study by Lee et al. addresses a timely question: how T-cell exhaustion heterogeneity influences CRC outcomes, a heterogeneity now recognized to involve distinct functional subsets defined by co-inhibitory receptor combinations (1).”. Ttex (TCF1-PD1+CD8+) and progenitor exhausted T cells (Tpex) were quantified via mIF in tissue microarrays (TMAs), integrated with genomic data (MSI/TMB; 40-gene panel). The discovery that Ttex enrichment predicts survival in oxaliplatin-treated patients is compelling, yet three key issues merit deeper scrutiny: sample representativeness, technical validation gaps, and mechanistic ambiguity.

2 Methodological and translational challenges

2.1 ​Spatial biology and sample bias​

The TMA design—two 1-mm cores each from tumor center (TC) and invasive margin (IM)—risks underrepresenting spatial heterogeneity. Tertiary lymphoid structures (TLS), critical niches for Tpex, were excluded, potentially skewing exhaustion subset distributions. This approach directly contradicts spatial analyses demonstrating TLS as critical reservoirs for Tpex (2, 3).”While IM CD8+ density showed weak correlation between TMA and whole-slide imaging (WSI; ρ=0.34), TC correlations were stronger (ρ=0.60). This inconsistency questions TMA’s reliability for spatial immune mapping. Future studies should prioritize WSI-based mIF to capture TLS dynamics.

2.2 ​Phenotypic oversimplification​

Ttex was defined solely as TCF1-PD1+CD8+, overlooking co-inhibitory receptors (e.g., TIM-3, LAG-3) that define terminal exhaustion. Recent single-cell studies (1, 4) show Ttex can retain cytotoxic function if specific receptor combinations are present. Recent single-cell evidence confirms that Ttex with specific receptor profiles (e.g., PD-1+TCF1-TIM-3-) retain cytotoxic function (1), while those co-expressing ≥3 inhibitors exhibit true terminal exhaustion. Incorporating ≥3 exhaustion markers would clarify whether “prognostic” Ttex subsets exhibit functional resilience. Specifically, Lee et al.’s own data (Lee et al.’s Figure 4) shows worse survival in ‘Teff-high’ groups, implying that cytotoxic potential alone cannot explain prognosis—reinforcing the need for multi-receptor phenotyping.

2.3 ​Mechanistic disconnect​

The link between Ttex and oxaliplatin response remains correlative. Oxaliplatin induces immunogenic cell death (ICD), potentially activating Ttex. However, no functional assays (e.g., IFN-γ secretion or tumor-killing capacity) support this. Oxaliplatin-induced immunogenic cell death (ICD) is known to activate T-cell responses via HMGB1 release (5), yet Ttex functionality under ICD remains unproven. Validating Ttex functionality in ICD models (e.g., CRC organoids co-cultured with Ttex) is essential. Three mechanistic gaps persist: (i) No correlation between Ttex density and ICD biomarkers (e.g., HMGB1/ATP). (ii) Absence of Ttex functional data post-oxaliplatin exposure (6). (iii) Paradoxical survival benefit in CD8-low/Ttex-high tumors despite presumed dysfunction.

3 Discussion

Lee et al. provide foundational evidence that Ttex may refine CRC prognostication, but translating this into clinical utility requires three synergistic advances: spatially resolved whole-slide mIF must replace TMAs to incorporate tertiary lymphoid structures and ensure reliable invasive margin analysis, multi-parametric exhaustion signatures integrating ≥3 markers (e.g., PD-1+TCF1−TIM-3+) should be deployed via hyperplexed platforms like CODEX to distinguish functional subsets, and Ttex responsiveness must be functionally interrogated in immunogenic cell death models with/without anti-PD-1 to identify therapeutic synergies—particularly as the prognostic value of Ttex in CD8-low tumors holds revolutionary potential for adjuvant stratification, making validation in biomarker-driven trials such as FOxTROT with serial pre/post-chemotherapy mapping a critical next step.

Author contributions

WW: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. YL: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. PY: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – review & editing. LY: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Miller BC, Sen DR, Al Abosy R, Bi K, Virkud YV, and LaFleur MW. Subsets of exhausted CD8+ T cells differentially mediate tumor control. Nat Immunol. (2019) 20:326–36. doi: 10.1038/s41590-019-0312-6

PubMed Abstract | Crossref Full Text | Google Scholar

2. Schürch CM, Bhate SS, Barlow GL, Phillips DJ, Noti L, and Zlobec I. Coordinated cellular neighborhoods orchestrate antitumoral immunity. Cell. (2020) 182:1341–59. doi: 10.1016/j.cell.2020.07.005

PubMed Abstract | Crossref Full Text | Google Scholar

3. Im SJ, Obeng RC, Nasti TH, McManus D, Kamphorst AO, and Gunisetty S. Characteristics of PD-1+TCF1+ CD8 T cells in cancer. Proc Natl Acad Sci U.S.A. (2023) 120:e2221985120. doi: 10.1073/pnas.2221985120

PubMed Abstract | Crossref Full Text | Google Scholar

4. Chen Y, Wang D, Li Y, Qi L, Si W, and Bo Y. Spatiotemporal single-cell analysis decodes cellular dynamics underlying immunotherapy responses. Cancer Cell. (2024) 42:1268–85. doi: 10.1016/j.cell.2024.06.009

PubMed Abstract | Crossref Full Text | Google Scholar

5. Pirschke C, Engblom C, Rickelt S, Cortez-Retamozo V, Garris C, and Pucci F. Immunogenic chemotherapy sensitizes tumors to checkpoint blockade. Immunity. (2016) 44:343–54. doi: 10.1016/j.immuni.2015.11.024

PubMed Abstract | Crossref Full Text | Google Scholar

6. Lee J-A, Park H-E, Lee D-W, Han S-W, Kim T-Y, and Jeong S-Y. Immunogenomic characteristics and prognostic implications of terminally exhausted CD8+ T cells in colorectal cancers. Front Immunol. (2025) 16:1601188. doi: 10.3389/fimmu.2025.1601188

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: CRC (colorectal cancer), CD8+T cell exhaustion, spatial biology, sample bias, ICD (immunogenic cell death)

Citation: Wu W, Liu Y, Yu P and Yu L (2025) Commentary: Immunogenomic characteristics and prognostic implications of terminally exhausted CD8+ T cells in colorectal cancers. Front. Immunol. 16:1654000. doi: 10.3389/fimmu.2025.1654000

Received: 25 June 2025; Accepted: 28 July 2025;
Published: 13 August 2025.

Edited by:

Tonya J Webb, University of Maryland, United States

Reviewed by:

Mesut Yigit, My Gene and Cell Therapies Biotechnology, Türkiye

Copyright © 2025 Wu, Liu, Yu and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Peishan Yu, bWVnYW5wZWlzaGFuQDE2My5jb20=; Linchong Yu, c3RlZmFuaWV5Y0AxNjMuY29t

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.