Collections / Reprogramming engineered autologous T cells to overcome resistance in patients with Merkel cell carcinoma [Xenium]

Reprogramming engineered autologous T cells to overcome resistance in patients with Merkel cell carcinoma [Xenium]

Immune checkpoint inhibitors (ICIs) have transformed Merkel cell carcinoma (MCC) outcomes, but most patients with MCC develop resistance. We identified T cell receptor (TCR)MCC1, a highly avid, HLA-A*02:01–restricted TCR targeting the Merkel cell polyomavirus (MCPyV) oncoprotein large-T antigen15–23. Seven patients with ICI-refractory metastatic MCPyV+ MCC received TCRMCC1-transduced cells (TTCR-MCC1 cells) after lymphodepleting chemotherapy or HLA-enhancing interventions [radiation or interferon gamma-1b (Actimmune)], with concurrent ICIs (NCT03747484). TTCR-MCC1 cells trafficked to tumor sites and expressed a gene expression profile compatible with T cell activation, with tumor regression observed in two patients. However, therapeutic activity was limited by HLA class I silencing, a common mechanism of immune escape in MCC. In one patient, delayed tumor regression coincided with endogenous effector immune activation and restoration of MCC HLA expression, implying that robust local responses could reverse HLA silencing. To overcome this barrier, we engineered CD4 and CD8 TTCR-MCC1 cells to coexpress CD8αβ and a CD200R-CD28 switch receptor, enabling CD4 T cell engagement and T cell costimulation. These modifications enhanced tumor infiltration, increased HLA expression, and improved control of HLAlow MCC in vivo in mice. These findings support the feasibility of TCR-engineered cell therapy for MCPyV+ MCC and provide a blueprint for overcoming immune evasion via targeted localized enhancement of antigen presentation.

Datasets6
Size~6.3 GB
Assay10x Xenium
Samplehuman · multiple
KindTime course
PMID:42715345 ↗
Python · lamindb
import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="geo-gse326660")
coll.ordered_artifacts.df()                 # the 6 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]

# …or load each straight into memory as a SpatialData object:
sdatas = {a.key: sd.read_zarr(a.cache()) for a in coll.ordered_artifacts.all()}
Open in Vitessce
10x Xenium
Human skin of body
GSM9636818
human skin of body cutaneous neuroendocrine carcinoma 1.4 GB 213,088 obs bronze
Technology10x Xenium
Organismhuman
Tissueskin of body
Conditioncutaneous neuroendocrine carcinoma
Size1.4 GB
Obs213,088
bronze Open in Vitessce
Open in Vitessce
10x Xenium
Human pelvic lymph node
GSM9636821
human pelvic lymph node cutaneous neuroendocrine carcinoma 2.0 GB 216,922 obs bronze
Technology10x Xenium
Organismhuman
Tissuepelvic lymph node
Conditioncutaneous neuroendocrine carcinoma
Size2.0 GB
Obs216,922
bronze Open in Vitessce
Open in Vitessce
10x Xenium
Human pelvic lymph node
GSM9636819
human pelvic lymph node cutaneous neuroendocrine carcinoma 1.3 GB 106,368 obs bronze
Technology10x Xenium
Organismhuman
Tissuepelvic lymph node
Conditioncutaneous neuroendocrine carcinoma
Size1.3 GB
Obs106,368
bronze Open in Vitessce
Open in Vitessce
10x Xenium
Human skin of body
GSM9636817
human skin of body cutaneous neuroendocrine carcinoma 537 MB 51,539 obs bronze
Technology10x Xenium
Organismhuman
Tissueskin of body
Conditioncutaneous neuroendocrine carcinoma
Size537 MB
Obs51,539
bronze Open in Vitessce
Open in Vitessce
10x Xenium
Human pelvic lymph node
GSM9636820
human pelvic lymph node cutaneous neuroendocrine carcinoma 707 MB 59,563 obs bronze
Technology10x Xenium
Organismhuman
Tissuepelvic lymph node
Conditioncutaneous neuroendocrine carcinoma
Size707 MB
Obs59,563
bronze Open in Vitessce
Open in Vitessce
10x Xenium
Human pelvic lymph node
GSM9636822
human pelvic lymph node cutaneous neuroendocrine carcinoma 344 MB 35,429 obs bronze
Technology10x Xenium
Organismhuman
Tissuepelvic lymph node
Conditioncutaneous neuroendocrine carcinoma
Size344 MB
Obs35,429
bronze Open in Vitessce

Cite this collection

No linked publication found — please cite the data source.