Evidence map›Paper›PMID 41019982›Full record

ReviewCancer drug resistance (Alhambra, Calif.)2025

Targeting the hypoxia signaling pathway with nanomedicine to reverse immunotherapy resistance.

Xiaoliang Cheng, Peixing Wang, Hongqiang Lyu, Yonghyun Lee, Juyoung Yoon, Haiyan Dong

Abstract readReview
In one paragraph

Review in Cancer drug resistance (Alhambra, Calif.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

6 authors.

Xiaoliang ChengDepartment of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, Shaanxi, China.
Peixing WangDepartment of Materials Science and Engineering, Yonsei University, Seoul 03722, South Korea.
Hongqiang LyuSchool of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China.
Yonghyun LeeCollege of Pharmacy, Ewha Womans University, Seoul 03760, South Korea.
Juyoung YoonDepartment of Chemistry and Nanoscience, Ewha Womans University, Seoul 03760, South Korea.
Haiyan DongDepartment of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy has emerged as a major therapeutic strategy for cancer; however, immunotherapy resistance remains a significant challenge. Hypoxia, a key hallmark of the tumor microenvironment resulting from the imbalance between the high oxygen demand of rapidly proliferating cancer cells and the limited supply from abnormal blood vessels, plays a central role in driving immunotherapy resistance. Hypoxia-inducible factor-1α (HIF-1α) and its downstream signaling pathways contribute to this resistance by promoting macrophage polarization toward the protumorigenic M2 phenotype, inducing T cell exhaustion, facilitating immune evasion, enhancing angiogenesis, and activating other resistance mechanisms. The review highlights the mechanisms by which hypoxia regulates resistance to immunotherapy and provides a comprehensive overview of nanotechnology-based strategies designed to counteract hypoxia-induced resistance. Finally, the prospects and challenges of translating nanomedicine-based drug delivery systems into clinical practice for overcoming immunotherapy resistance are outlined.

Indexed as

HIF-1αimmune evasionImmunotherapy resistancenanomedicineT cell exhaustiontumor-associated macrophagesvascular normalization

Identifiers

PMID41019982
PMCPMC12462398

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.