Evidence map›Paper›PMID 35256956›Full record

ArticleActa pharmaceutica Sinica. B2022

Inhibiting collagen I production and tumor cell colonization in the lung

Yan Yan, Cancan Du, Xixi Duan, Xiaohan Yao, Jiajia Wan, Ziming Jiang, Zhongyu Qin, Wenqing Li, Longze Pan, Zhuoyu Gu and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Acta pharmaceutica Sinica. B, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.4field-weighted citation impact, top 3% of its field
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

47 citing papers in PubMed, 91 citations in OpenAlex.

  1. Extracellular Vesicles and Their Role in Osteogenesis.Bioengineering (Basel, Switzerland) · 2026
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  14. The Duality of Collagens in Metastases of Solid Tumors.International journal of molecular sciences · 2025
    Review
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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

13 authors at 3 institutions in 1 country.

Yan YanMedical Research Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450052, China.
Cancan DuMedical Research Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450052, China.
Xixi DuanMedical Research Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450052, China.
Xiaohan YaoMedical Research Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450052, China.
Jiajia WanMedical Research Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450052, China.
Ziming JiangDepartment of Urology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450052, China.
Zhongyu QinChangzhi Medical College, Changzhi 046000, China.
Wenqing LiMedical Research Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450052, China.
Longze PanMedical Research Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450052, China.
Zhuoyu GuMedical Research Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450052, China.
Fazhan WangMedical Research Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450052, China.
Ming WangMedical Research Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450052, China.
Zhihai QinMedical Research Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450052, China.
First Affiliated Hospital of Zhengzhou University · CNChinese Academy of Sciences · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lung is one of the most common sites for cancer metastasis. Collagens in the lung provide a permissive microenvironment that supports the colonization and outgrowth of disseminated tumor cells. Therefore, down-regulating the production of collagens may contribute to the inhibition of lung metastasis. It has been suggested that miR-29 exhibits effective anti-fibrotic activity by negatively regulating the expression of collagens. Indeed, our clinical lung tumor data shows that miR-29a-3p expression negatively correlates with collagen I expression in lung tumors and positively correlates with patients' outcomes. However, suitable carriers need to be selected to deliver this therapeutic miRNA to the lungs. In this study, we found that the chemotherapy drug cisplatin facilitated miR-29a-3p accumulation in the exosomes of lung tumor cells, and this type of exosomes exhibited a specific lung-targeting effect and promising collagen down-regulation. To scale up the preparation and simplify the delivery system, we designed a lung-targeting liposomal nanovesicle (by adjusting the molar ratio of DOTAP/cholesterol-miRNAs to 4:1) to carry miR-29a-3p and mimic the exosomes. This liposomal nanovesicle delivery system significantly down-regulated collagen I secretion by lung fibroblasts

Indexed as

cDNA, complementary DNACollagen ICPT-Exo, cisplatin elicited lung tumor exosomesCTCs, circulating tumor cellsDOTAP, 1,2-dioleoyl-3-trimethylammonium propaneECM, extra cellular matrixEVs, extracellular vesiclesExosomesFibroblastsLiposomal nanovesicleLLC-Exo, LLC-derived exosomesLLC, Lewis lung carcinomaLuc-LPX, Luc-lipoplexLung metastasismiR-29a-3pmiR-29a-3p-LPX, miR-29a-3p-lipoplexNC inhibitor, negative control inhibitorNC mimic, negative control mimicPMN, pre-metastatic nichePre-metastatic nicheRNA-LPX, RNA-lipoplex

Identifiers

PMID35256956
PMCPMC8897025
OpenAlexW3194613885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.