Recent Development of CXCR4-Targeted Nuclear Medicine Research in Adrenocortical Tumors

The diagnosis of adrenocortical tumors remains clinically challenging due to overlapping morphological and functional features between benign, malignant, and hormonally active lesions. Malignant and functional tumors are frequently associated with poor prognosis. Traditional morphological imaging methods, such as CT and MRI, cannot reliably distinguish lesion types. Recent evidence suggests that molecular imaging targeting C-X-C motif chemokine receptor 4 (CXCR4), a biomarker overexpressed in functional adenomas and adrenocortical carcinomas (ACC), offers enhanced diagnostic precision. For instance, <sup>68</sup>Ga-pentixafor, a CXCR4-targeted radiotracer, demonstrates high accuracy in distinguishing functional from nonfunctional lesions and unilateral from bilateral subtypes in primary aldosteronism. Depending on the level of tracer uptake, it may also be possible to guide therapeutic decisions and assess treatment response. For Cushing's syndrome, particularly cortisol-producing adenomas, CXCR4 imaging facilitates the localization of adrenal lesions, reducing dependency on invasive techniques. In ACC, overexpression of CXCR4 enables metastasis detection, and its complementary use with <sup>18</sup>F-FDG PET/CT improves lesion detection. Furthermore, the theranostic agent <sup>177</sup>Lu/<sup>90</sup>Y-Pentixather demonstrates considerable promise for CXCR4-directed Endoradiotherapy (ERT) in advanced ACC. This review aimed to summarize the advancements of CXCR4-targeted molecular imaging in adrenocortical tumors and ERT in ACC.

Authors

Institutions

Publication Details

Journal
Mini-Reviews in Medicinal Chemistry
Published
2025-09-01
DOI
https://doi.org/10.2174/0113895575408753250904112417
Citations
1
Primary Topic
Adrenal and Paraganglionic Tumors
Type
article
Field-Weighted Citation Impact
2.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recent Development of CXCR4-Targeted Nuclear Medicine Research in Adrenocortical Tumors

Shaobo Yao, Qiusong Chen, Ming Wang, Haonan Yu
1 citations
Mini-Reviews in Medicinal Chemistry
Adrenal and Paraganglionic Tumors
2.01
article

Recent Development of CXCR4-Targeted Nuclear Medicine Research in Adrenocortical Tumors

Shaobo Yao, Qiusong Chen, Ming Wang, Haonan Yu
article en
1 citations

Abstract

The diagnosis of adrenocortical tumors remains clinically challenging due to overlapping morphological and functional features between benign, malignant, and hormonally active lesions. Malignant and functional tumors are frequently associated with poor prognosis. Traditional morphological imaging methods, such as CT and MRI, cannot reliably distinguish lesion types. Recent evidence suggests that molecular imaging targeting C-X-C motif chemokine receptor 4 (CXCR4), a biomarker overexpressed in functional adenomas and adrenocortical carcinomas (ACC), offers enhanced diagnostic precision. For instance, <sup>68</sup>Ga-pentixafor, a CXCR4-targeted radiotracer, demonstrates high accuracy in distinguishing functional from nonfunctional lesions and unilateral from bilateral subtypes in primary aldosteronism. Depending on the level of tracer uptake, it may also be possible to guide therapeutic decisions and assess treatment response. For Cushing's syndrome, particularly cortisol-producing adenomas, CXCR4 imaging facilitates the localization of adrenal lesions, reducing dependency on invasive techniques. In ACC, overexpression of CXCR4 enables metastasis detection, and its complementary use with <sup>18</sup>F-FDG PET/CT improves lesion detection. Furthermore, the theranostic agent <sup>177</sup>Lu/<sup>90</sup>Y-Pentixather demonstrates considerable promise for CXCR4-directed Endoradiotherapy (ERT) in advanced ACC. This review aimed to summarize the advancements of CXCR4-targeted molecular imaging in adrenocortical tumors and ERT in ACC.

Mini-Reviews in Medicinal ChemistryVol. 25(16)
Tianjin Medical University General Hospital (CN)
Openalex Percentile: Top 12%
Adrenal and Paraganglionic Tumors
2.01
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.