Evidence map›Paper›PMID 42252445›Full record

ArticleJournal of nanobiotechnology2026

pH-responsive CDs-based nanoplatform for chemo-resistant esophageal cancer treatment via downregulation of HIF-1α related pathway.

Xuewei Wang, Yue Zhang, Hao Wu, Zelei Yang, Sufang Ma, Lihong Li, Lixia Guo, Lili Yan, Boye Zhang, Jianfei Liu and 4 more

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 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

14 authors.

Xuewei Wang *School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Yue Zhang *School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Hao Wu *School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Zelei YangSchool of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Sufang MaSchool of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Lihong LiSchool of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Lixia GuoSchool of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Lili YanSchool of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Boye ZhangSchool of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Jianfei LiuSchool of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Haipeng DiaoSchool of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China.
Guodong RenSchool of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China. renguodong@sxmu.edu.cn.
Chengwu ZhangSchool of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China. chengwu_zhang@sxmu.edu.cn.
Wen LiuSchool of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, P. R. China. liuwen@sxmu.edu.cn.

Funding

Shanxi Province Higher Education "Billion Project" Science and Technology Guidance Project SY-BYSL-2025024The National Nature Science Foundation of China 82202289The National Nature Science Foundation of China 82472030
6 · The paper itself

Abstract

Esophageal cancer (EC) is a highly malignant tumor that poses a significant threat to patient survival. Chemotherapy, a mainstay treatment for EC, often yields unsatisfactory outcomes due to chemotherapy resistance, the low efficacy of monotherapy and off-target toxicity. Therefore, it is imperative to develop one novel therapeutic strategy capable of overcoming drug resistance, enabling tumor microenvironment-responsive drug release, and achieving multimodal synergistic therapy. Currently, treatment of chemotherapy-resistant EC (CREC) faces great challenges. To address this, a pH-responsive nanoplatform, CDs-DOX-GOX@PEG (CDG@PEG), composed of iron-doped carbon dots (Fe-CDs), doxorubicin (DOX), glucose oxidase (GOX), and polyethylene glycol (PEG), was fabricated to improve CREC treatment through synergistic and targeted therapy. The physicochemical properties of CDG@PEG were characterized using TEM, XPS, XRD, FTIR and other techniques. Its anti-tumor efficacy was assessed with DOX-resistant KYSE-30 cells and corresponding xenograft mouse models. Moreover, the underlying therapeutic mechanism was further investigated via transcriptomic, immunofluorescence and immunohistochemical analyses. Physicochemical characterization results showed that the designed nanoplatform was successfully fabricated, which was endowed with outstanding pH-responsive behavior and O₂/ROS-generation capabilities. In vitro, CDG@PEG demonstrated excellent cellular uptake and potent tumor cell-killing capacities. In vivo, it displayed superior anti-tumor efficacy with good biocompatibility. Mechanistically, CDG@PEG realized the CREC therapy by down-regulating drug-resistant genes (such as HIF-1α related genes), inducing mitochondrial dysfunction, and triggering cell apoptosis. This work opened new avenues for developing novel therapeutic strategies against chemotherapy-resistant cancers.

Indexed as

Drug Resistance, NeoplasmEsophageal NeoplasmsHypoxia-Inducible Factor 1, alpha SubunitAnimalsAntineoplastic AgentsApoptosisCarbon Quantum DotsCell Line, TumorDown-RegulationDoxorubicinHumansHydrogen-Ion ConcentrationMiceMice, Inbred BALB CMice, NudePolyethylene GlycolsAntineoplastic AgentsDoxorubicinHypoxia-Inducible Factor 1, alpha SubunitPolyethylene GlycolsApoptosisCarbon dotsChemo-resistanceEsophageal cancerHIF-1α

Identifiers

PMID42252445
PMCPMC13471539

What OpenQuestion holds

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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 OpenQuestion graph.