Evidence map›Paper›PMID 37744063›Full record

ReviewFrontiers in chemistry2023

Advancement of regulating cellular signaling pathways in NSCLC target therapy via nanodrug.

Wenqiang Li, Mei Li, Qian Huang, Xiaoyu He, Chen Shen, Xiaoming Hou, Fulai Xue, Zhiping Deng, Yao Luo

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Functional significance of miR-218 in lung cancer.Journal of cancer metastasis and treatment · 2026
    Article
  2. Article
  3. Review
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

9 authors.

Wenqiang Li *Zigong First People's Hospital, Zigong, Sichuan, China.
Mei Li *West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Qian HuangSichuan North Medical College, Nanchong, Sichuan, China.
Xiaoyu HeSichuan North Medical College, Nanchong, Sichuan, China.
Chen ShenWest China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiaoming HouWest China Hospital, Sichuan University, Chengdu, Sichuan, China.
Fulai XueWest China Hospital, Sichuan University, Chengdu, Sichuan, China.
Zhiping DengZigong First People's Hospital, Zigong, Sichuan, China.
Yao LuoZigong First People's Hospital, Zigong, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer (LC) is one of the leading causes of high cancer-associated mortality worldwide. Non-small cell lung cancer (NSCLC) is the most common type of LC. The mechanisms of NSCLC evolution involve the alterations of multiple complex signaling pathways. Even with advances in biological understanding, early diagnosis, therapy, and mechanisms of drug resistance, many dilemmas still need to face in NSCLC treatments. However, many efforts have been made to explore the pathological changes of tumor cells based on specific molecular signals for drug therapy and targeted delivery. Nano-delivery has great potential in the diagnosis and treatment of tumors. In recent years, many studies have focused on different combinations of drugs and nanoparticles (NPs) to constitute nano-based drug delivery systems (NDDS), which deliver drugs regulating specific molecular signaling pathways in tumor cells, and most of them have positive implications. This review summarized the recent advances of therapeutic targets discovered in signaling pathways in NSCLC as well as the related NDDS, and presented the future prospects and challenges.

Indexed as

drug resistancenanodrugnon-small cell lung cancersignaling pathwaystargeted therapy

Identifiers

PMID37744063
PMCPMC10512551

What OpenQuestion 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 OpenQuestion graph.