Back

Phenotypic and functional characterization of tumor-reactive T cells in malignant pleural effusions

Gaiger, N. S.; Coburn, J.; Lee, M.; Zhang, L.; Chen, H.-L.; Woodard, G. A.; Kluger, H. M.; Schoenfeld, D. A.; Lu, B. Y.

2025-12-09 immunology
10.64898/2025.12.05.692662 bioRxiv
Show abstract

BackgroundAdoptive cell therapy using tumor-infiltrating lymphocytes (TIL) is approved for the treatment of advanced melanoma but is limited by the need for patients to undergo surgical tumor resection. Malignant pleural effusions (MPE) may represent a more accessible source of tumor-reactive T cells. Here, we characterize the cellular composition as well as the transcriptional and functional properties of T cells from MPE compared with pulmonary metastasis and blood from a patient with melanoma. MethodsThe immune cellular composition was immunophenotyped by high-dimensional flow cytometry from synchronously collected MPE, a lung metastasis, and blood from a patient with metastatic melanoma. Sorted CD3+ T cells were profiled by single-cell RNA sequencing (scRNA-seq) and T cell receptor sequencing (scTCR-seq). TCR reactivity to autologous tumor was evaluated through in vitro activation assays with TCR-transduced Jurkat and autologous cancer cells. The killing capacity of ex vivo expanded T cells of autologous cancer cells was assessed through in vitro cytotoxicity assays. ResultsMPE had higher proportions of CD45+ immune cells and CD3+ T cells (70.5% vs 50%) compared with tumor and was enriched for effector CD8+ T cells, CCR7-CD45RA- effector memory CD4+ T cells, and quiescent CD25highCD127low regulatory CD4+ T cells. MPE T cells exhibited lower levels of co-inhibitory receptors (PD-1, LAG-3, TIGIT, TIM-3) expression relative to tumor. ScRNA-seq showed enrichment of NK-like effector CD8+ T cells in MPE. Pseudotime analysis indicated that MPE T cells were less exhausted than tumor T cells. The clonal repertoire of MPE and tumor highly overlapped, including 62.2% of predicted neoantigen-specific (NeoTCR) clonotypes. Notably, clonally-related NeoTCR T cells in MPE exhibited higher cytotoxic and stemness, and lower exhaustion signatures compared with sister clones in the tumor. Two of four selected NeoTCR clonotypes transduced in Jurkat cells demonstrated MHC class I-restricted reactivity in co-culture with autologous cancer cells. MPE T cells also readily expanded in the presence of high-dose IL-2 and demonstrated MHC class I-dependent killing of autologous cancer cells. ConclusionsMPE harbors polyclonal, tumor-reactive T cells with lower features of terminal exhaustion and higher cytotoxic potential relative to tumor T cells. MPE may therefore serve as a more accessible source for TIL therapy.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 0.1%
29.1%
2
OncoImmunology
22 papers in training set
Top 0.1%
19.6%
3
Cancer Immunology Research
34 papers in training set
Top 0.1%
7.2%
50% of probability mass above
4
Frontiers in Immunology
586 papers in training set
Top 1%
5.1%
5
Scientific Reports
3102 papers in training set
Top 44%
2.7%
6
Cancer Immunology, Immunotherapy
11 papers in training set
Top 0.1%
2.2%
7
Blood Advances
54 papers in training set
Top 0.6%
2.0%
8
Cell Reports Medicine
140 papers in training set
Top 3%
1.9%
9
Cytotherapy
14 papers in training set
Top 0.2%
1.8%
10
Frontiers in Oncology
95 papers in training set
Top 2%
1.6%
11
PLOS ONE
4510 papers in training set
Top 58%
1.4%
12
eBioMedicine
130 papers in training set
Top 2%
1.2%
13
Immunology
29 papers in training set
Top 0.7%
1.2%
14
JCI Insight
241 papers in training set
Top 6%
0.8%
15
Clinical Cancer Research
58 papers in training set
Top 2%
0.8%
16
Leukemia
39 papers in training set
Top 0.7%
0.8%
17
iScience
1063 papers in training set
Top 31%
0.8%
18
Breast Cancer Research
32 papers in training set
Top 0.5%
0.8%
19
Neuro-Oncology
30 papers in training set
Top 0.8%
0.7%
20
European Journal of Immunology
57 papers in training set
Top 0.6%
0.7%
21
Journal of Clinical Investigation
164 papers in training set
Top 8%
0.5%
22
Cancers
200 papers in training set
Top 5%
0.5%
23
Journal of Translational Medicine
46 papers in training set
Top 4%
0.5%