Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 784

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Enhanced Cancer Immunotherapy by Microneedle Patch-Assisted Delivery of Anti-PD1 Antibody

Open access
Wang, Chao, Ye, Yanqi, Hochu, Gabrielle M., Sadeghifar, Hasan, Gu, Zhen·2016·Nano Letters

Abstract

Despite recent advances in melanoma treatment through the use of anti-PD-1 (aPD1) immunotherapy, the efficacy of this method remains to be improved. Here we report an innovative self-degradable microneedle (MN) patch for the sustained delivery of aPD1 in a physiologically controllable manner. The microneedle is composed of biocompatible hyaluronic acid integrated with pH-sensitive dextran nanoparticles (NPs) that encapsulate aPD1 and glucose oxidase (GOx), which converts blood glucose to gluconic acid. The generation of acidic environment promotes the self-dissociation of NPs and subsequently results in the substantial release of aPD1. We find that a single administration of the MN patch induces robust immune responses in a B16F10 mouse melanoma model compared to MN without degradation trigger or intratumoral injection of free aPD1 with the same dose. Moreover, this administration strategy can integrate with other immunomodulators (such as anti-CTLA-4) to achieve combination therapy for enhancing antitumor efficacy.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/acs.nanolett.5b05030

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 10 references

Cited by

See all 784

Metadata

Authors
Wang, C., Ye, Y., Hochu, G. M., Sadeghifar, H., & Gu, Z.
Venue
Nano Letters
Published
2016-03-24
Volume
16
Issue
4
Pages
2334-2340
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2308809093
Cited by
784
References
10
FWCI
34.34
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Enhanced Cancer Immunotherapy by Microneedle Patch-Assisted Delivery of Anti-PD1 Antibody. https://app.cochat.ai/papers/10.1021/acs.nanolett.5b05030
The paper
Wang, C., Ye, Y., Hochu, G. M., Sadeghifar, H., & Gu, Z. (2016). Enhanced Cancer Immunotherapy by Microneedle Patch-Assisted Delivery of Anti-PD1 Antibody. Nano Letters. https://doi.org/10.1021/acs.nanolett.5b05030

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.