Evidence map›Paper›PMID 42583516›Full record

ReviewInternational journal of nanomedicine2026

Tumor Microenvironment-Responsive Nanoparticles for Pancreatic Cancer Imaging and Treatment.

Wenli Qiu, Jinghong Li, Yingying Cao, Hongguang Zhou, Hui Hu, Zhongqiu Wang

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 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

6 authors.

Wenli QiuDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Jinghong LiDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Yingying CaoDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Hongguang ZhouDepartment of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Hui HuDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Zhongqiu WangDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis and effective treatment of pancreatic cancer remain major clinical challenges, one of the most aggressive and lethal tumors. The tumor microenvironment (TME) in pancreatic cancer exhibits unique features, including high interstitial fluid pressure (IFP), abnormal blood vessels, hypoxia, acidosis, and excess reactive oxygen species (ROS), all favoring tumor progression and immunosuppression, meanwhile offsetting diagnostic efficiency and treatment efficacy. Thus, the TME of pancreatic cancer is considered as a target of profound theranostic significance. Nanoparticles (NPs) have shown a high profile in bio-imaging and targeted drug delivery. Here, we depicted the TME of pancreatic cancer and reviewed the designs and performances of TME-transforming NPs in the diagnosis and treatment of pancreatic cancer, as well as the obstacles to be overcome before their clinical translation. This review is expected to provide sparks for the early diagnosis and personalized treatment for pancreatic cancer.

Indexed as

NanoparticlesPancreatic NeoplasmsTumor MicroenvironmentAnimalsAntineoplastic AgentsHumansTheranostic NanomedicineAntineoplastic Agentsimagingnanoparticlespancreatic cancertreatmenttumor microenvironment

Identifiers

PMID42583516
PMCPMC13460253

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.