Evidence map›Paper›PMID 41886137›Full record

ReviewCurrent treatment options in oncology2026

Theranostics in Sarcoma: A Critical Review of Current Evidence and Future Potential.

Ojasvi Appana, David Konieczkowski, Gabriel Tinoco

Abstract readReview
In one paragraph

Review in Current treatment options in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ojasvi AppanaCollege of Medicine, The Ohio State University, Columbus, OH, 43235, USA.
David KonieczkowskiDepartment of Radiation Oncology, The Ohio State University, Columbus, OH, 43235, USA.
Gabriel TinocoDivision of Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, 43235, USA. gabriel.tinoco@osumc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementSarcomas are rare, heterogeneous malignancies with over 100 subtypes and limited effective therapies in advanced stages. Theranostics, a strategy that combines diagnostic imaging and targeted radionuclide therapy using the same molecular target, has revolutionized care in cancers, including prostate and neuroendocrine tumors. This review evaluates the current evidence and future potential of theranostic applications in sarcoma. A comprehensive literature search was conducted across PubMed, Google Scholar, and clinicaltrials.gov for studies published between January 2010 and August 2025. Search terms included “theranostics,” “radionuclide,” “molecular imaging,” “sarcoma,” and molecular targets such as PSMA, FAPI, SSTR, PDGFR, and TEM-1. Eligible articles included clinical trials, cohort studies, and systematic reviews. Case reports were included only when higher-level evidence was lacking. Key theranostic targets in sarcoma include FAP, PSMA, SSTR, and PDGFR. Among these, FAP-directed agents demonstrate the most clinical maturity, with improved diagnostic performance compared to 18F-FDG and early evidence of disease control with 90Y/177Lu-labeled therapies. PSMA and SSTR expression in sarcomas is more variable and localized to tumor vasculature, with case-level therapeutic use and limited efficacy data. PDGFR and emerging targets, such as TEM-1, show biological promise but remain under investigation in early-phase studies. Theranostics represents a promising approach to individualized sarcoma treatment, with FAP-targeted agents showing the most advanced clinical development. FAP-based imaging improves lesion detection compared to standard 18F-FDG PET, and early therapeutic trials suggest disease control in select patients. However, broader validation and regulatory approval are needed before clinical integration. Theranostics represents a promising precision-medicine paradigm for sarcoma, linking diagnostic PET imaging with targeted radioligand therapy targeting a shared molecular target. With more than 100 histologic subtypes and limited effective treatment options in advanced disease, theranostics may provide a future therapeutic avenue for selected patients. Among currently investigated platforms, fibroblast activation protein-directed approaches are the most clinically advanced. 68Ga FAPI PET has demonstrated superior lesion detection compared with 18 F FDG across multiple sarcoma subtypes, and early studies of 90Y- and 177Lu-labeled FAPI agents report disease stabilization in selected patients with advanced disease, supporting biological and technical feasibility. In contemporary practice, FAP-directed imaging is best integrated within investigational frameworks to identify candidates for radioligand therapy, refine trial selection, and enable response monitoring in FAP-avid sarcomas. Other targets, including PSMA, SSTR, and PDGFR, remain exploratory and require prospective validation before clinical translation. Standard sarcoma management continues to rely on guideline-directed multimodality care, including surgery, radiation, and subtype-specific systemic therapy, with theranostic strategies currently limited to clinical trials or selected refractory settings. Broader clinical adoption will depend on prospective studies demonstrating meaningful clinical benefit, optimized dosimetry, and regulatory approval.

Indexed as

SarcomaTheranostic NanomedicineBiomarkers, TumorDisease ManagementHumansMolecular ImagingMolecular Targeted TherapyPositron-Emission TomographyRadiopharmaceuticalsBiomarkers, TumorRadiopharmaceuticalsMolecular imagingPersonalized medicineReviewSarcomaSoft-tissue sarcomaTheranostics

Identifiers

PMID41886137
PMCPMC13021735

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.