Evidence map›Paper›PMID 35479192›Full record

ArticlePhotoacoustics2022

Multi-modal imaging for uptake of peptide ligand specific for CD44 by hepatocellular carcinoma.

Xiaoli Wu, Xiaoqing Meng, Tse-Shao Chang, Shuo Feng, Miki Lee, Sangeeta Jaiswal, Eun-Young K Choi, Lam Tran, Hui Jiang, Thomas D Wang

Abstract read
In one paragraph

Article in Photoacoustics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

10 authors.

Xiaoli WuDepartment of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI 48109, USA.
Xiaoqing MengDepartment of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI 48109, USA.
Tse-Shao ChangDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Shuo FengDepartment of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI 48109, USA.
Miki LeeDepartment of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI 48109, USA.
Sangeeta JaiswalDepartment of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI 48109, USA.
Eun-Young K ChoiDepartment of Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
Lam TranDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
Hui JiangDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
Thomas D WangDepartment of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI 48109, USA.

Funding

University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
6 · The paper itself

Abstract

Background: Hepatocellular carcinoma (HCC) is rising steadily in incidence, and more effective methods are needed for early cancer detection and image-guided surgery. Methods: We used a structural model to optimize the peptide sequence. Specific binding was validated in vitro with knockdown, competition, and co-localization assays. Multi-modal imaging was performed to validate specific binding in vivo in orthotopically-implanted human xenograft tumors. Results: Binding properties of WKGWSYLWTQQA were characterized by an apparent dissociation constant of k Conclusions: We have identified a peptide specific for CD44 with properties that are promising for clinical translation to image HCC in vivo.

Indexed as

CancerCD44CD44, cluster of differentiation 44FluorescenceHCC, hepatocellular carcinomaH&E, hematoxylin & eosinHepatocellular carcinomaICG, indocyanine greenIHC, immunohistochemistryLiverNIR, near infraredPeptidePhotoacousticT/B, target-to-background

Identifiers

PMID35479192
PMCPMC9035732

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.