Whole-body tomographic fluorescence lifetime imaging of PD-L1 expression

Noninvasive quantification of immune markers such as programmed death ligand-1 (PD-L1) remains a major challenge because conventional molecular imaging methods cannot readily distinguish target-bound from nonspecifically retained probes within the tumor microenvironment. Here, we establish a framework for noninvasive quantification of PD-L1 expression in deep-seated hepatocellular carcinoma (HCC) using asymptotic time-domain (ATD) fluorescence lifetime tomography. In vivo time-domain fluorescence imaging was performed in mice bearing orthotopic HCC tumors following administration of a PD-L1-targeted near-infrared fluorescent probe (αPDL1-800). Multi-exponential analysis of time-domain fluorescence data was used to derive four amplitude-based metrics of PD-L1 expression. Quantitative in vivo measurements obtained from ATD tomography were validated against ex vivo PD-L1 expression measured by Western blotting. Among the evaluated metrics, a normalized parameter that accounts for inter-lifetime crosstalk demonstrated the strongest correlation with ex vivo PD-L1 expression ( r 2 = 0.77). These findings establish a foundation for a noninvasive, nonionizing imaging approach to quantify immune biomarker expression and provide a framework for the longitudinal assessment of immunotherapy response and dynamic changes in the tumor immune microenvironment.

Authors

Institutions

Publication Details

Journal
npj Imaging
Published
2026-10-24
DOI
https://doi.org/10.1038/s44303-026-00203-5
Primary Topic
Optical Imaging and Spectroscopy Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Whole-body tomographic fluorescence lifetime imaging of PD-L1 expression

Rahul Pal, Dan Gabriel Duda, Atsuyo Morita, Xin Liu et al.
npj Imaging
Optical Imaging and Spectroscopy Techniques
article

Whole-body tomographic fluorescence lifetime imaging of PD-L1 expression

Rahul Pal, Dan Gabriel Duda, Atsuyo Morita, Xin Liu, Anand T. N. Kumar, Asemare Mengistie Taddese, Shriya Shukla, Murali Krishnamoorthy, Satoru Morita, Hajime Taniguchi
article en

Abstract

Noninvasive quantification of immune markers such as programmed death ligand-1 (PD-L1) remains a major challenge because conventional molecular imaging methods cannot readily distinguish target-bound from nonspecifically retained probes within the tumor microenvironment. Here, we establish a framework for noninvasive quantification of PD-L1 expression in deep-seated hepatocellular carcinoma (HCC) using asymptotic time-domain (ATD) fluorescence lifetime tomography. In vivo time-domain fluorescence imaging was performed in mice bearing orthotopic HCC tumors following administration of a PD-L1-targeted near-infrared fluorescent probe (αPDL1-800). Multi-exponential analysis of time-domain fluorescence data was used to derive four amplitude-based metrics of PD-L1 expression. Quantitative in vivo measurements obtained from ATD tomography were validated against ex vivo PD-L1 expression measured by Western blotting. Among the evaluated metrics, a normalized parameter that accounts for inter-lifetime crosstalk demonstrated the strongest correlation with ex vivo PD-L1 expression ( r 2 = 0.77). These findings establish a foundation for a noninvasive, nonionizing imaging approach to quantify immune biomarker expression and provide a framework for the longitudinal assessment of immunotherapy response and dynamic changes in the tumor immune microenvironment.

npj Imaging
Massachusetts Eye and Ear Infirmary (US), Houston Methodist (US), Harvard University (US), Keio University (JP), Indian Institute of Technology Madras (IN), Massachusetts General Hospital (US), University of Tokyo Hospital (JP), The University of Tokyo (JP)
Openalex Percentile: Top 13%
Optical Imaging and Spectroscopy Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon