Evidence mapPaperPMID 42222166Full record

ReviewFrontiers in pharmacology2026

Functionalized nanomedicines for co-targeting of multiple pathways to efficiently treat thyroid cancer: prospects and challenges.

Haidi Chu, Dong Wang

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 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

2 authors.

Haidi ChuDepartment of Thyroid Surgery, Yantaishan Hospital, Yantai, Shandong, China.
Dong WangDepartment of Head and Neck Surgery, Affiliated Hospital of Qingdao University, Yantai Yuhuangding Hospital, Yantai, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex molecular signaling networks regulate the development of thyroid carcinoma by providing neoplastic cells with the ability to adapt, survive, and multiply. Conventional single-target systems of therapeutic administration are often insufficient to provide adequate clinical efficacy, due to redundancy in signaling pathways, and compensatory response and resultant systemic toxicity. Functionalized nanomedicines are a novel modality that can potentially overcome these challenges by allowing simultaneous modulation of multiple cascades of oncogenic pathways. This review looks into the molecular pathways that are involved in the development and progression of thyroid cancer; special attention is paid to the central signaling strings which regulate cell proliferation, cell survival, angiogenesis and apoptosis. The focus is made on the co-targeting of these pathways by the means of fine tumor specificity and controlled drug delivery. This review outlines modern developments in the field of functionalized nanomedicines that deal with thyroid carcinoma, with a particular focus on the potential and the challenges of how to target two or more molecular conduits simultaneously. As compared to the previous reviews of subjects that examine single targets or single treatments in the management of thyroid cancer, our discussion predestines the novel approach of using functionalized nanomedicines to concomitantly probe into multiple signaling pathways-an approach that is extremely important in addressing the challenges of therapeutic resistance and improving clinical efficacy. The future directions are also outlined, and the prospects of personalized and intelligent nanomedicine-based solutions to change the landscape of therapeutic options of thyroid carcinoma can be viewed.

Indexed as

combination therapyco-targetingfunctionalized nanomedicinesmulti-pathwaytherapeutic resistancethyroid cancer

Identifiers

PMID42222166
PMCPMC13218989

What Socratic holds

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Registered trials

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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.