Evidence map›Paper›PMID 28166836›Full record

ArticleJournal of experimental & clinical cancer research : CR2017

Intracellular pH-responsive and rituximab-conjugated mesoporous silica nanoparticles for targeted drug delivery to lymphoma B cells.

Shoubing Zhou, Dan Wu, Xiaodong Yin, Xiaoxiao Jin, Xiu Zhang, Shiya Zheng, Cailian Wang, Yanwen Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Shoubing ZhouDepartment of Oncology, Zhongda Hospital, Medical School of Southeast University, Dingjiaqiao Road 87th, Nanjing, 210009, Jiangsu, China.
Dan WuDepartment of Oncology, The People's Hospital, Jiangyin, Wuxi, 214000, Jiangsu, China.
Xiaodong YinDepartment of Oncology, The People's Hospital, Binhai, Yancheng, 224000, Jiangsu, China.
Xiaoxiao JinDepartment of Oncology, Zhongda Hospital, Medical School of Southeast University, Dingjiaqiao Road 87th, Nanjing, 210009, Jiangsu, China.
Xiu ZhangDepartment of Oncology, Zhongda Hospital, Medical School of Southeast University, Dingjiaqiao Road 87th, Nanjing, 210009, Jiangsu, China.
Shiya ZhengDepartment of Oncology, Zhongda Hospital, Medical School of Southeast University, Dingjiaqiao Road 87th, Nanjing, 210009, Jiangsu, China.
Cailian WangDepartment of Oncology, Zhongda Hospital, Medical School of Southeast University, Dingjiaqiao Road 87th, Nanjing, 210009, Jiangsu, China. wangcailian65@hotmail.com.
Yanwen LiuDepartment of Oncology, Zhongda Hospital, Medical School of Southeast University, Dingjiaqiao Road 87th, Nanjing, 210009, Jiangsu, China. lyg0171@163.com.
Zhongda Hospital Southeast University · CNJiangyin People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the main problems in B cell lymphoma treatment is severe adverse effects and low therapeutic efficacy resulting from systemic chemotherapy. A pH-sensitive controlled drug release system based on mesoporous silica nanoparticles was constructed for targeted drug delivery to tumor cells to reduce systemic toxicity and improve the therapeutic efficacy.

methodsIn this study, the doxorubicin (DOX) was filled into the mesopores of the functional MSNs (DMSNs). Furthermore, rituximab was introduced as the targeted motif of functional DMSNs using an avidin-biotin bridging method to evaluate the targetability to tumor cells. Then, the cell viability and apoptosis efficiency after treatment with rituximab-conjugated DMSNs (RDMSNs) were estimated by using CCK-8 assay and flow cytometry, respectively. Additionally, the research in vivo was performed to evaluate the enhanced antitumor efficacy and the minimal toxic side effects of RDMSNs. Also, TUNEL staining assay was employed to explore the mechanism of antitumor effects of RDMSNs.

resultsThis targeted drug delivery system exhibited low premature drug release at a physiological pH and efficient pH-responsive intracellular release under weakly acidic conditions. The in vitro tests confirmed that targeted RDMSNs could selectively adhere to the surface of lymphoma B cells via specific binding with the CD20 antigen and be internalized into CD20 positive Raji cells but few CD20 negative Jurkat cells, which leads to increased cytotoxicity and apoptosis of the DOX in Raji cells due to the release of the entrapped DOX with high efficiency in the slightly acidic intracellular microenvironment. Furthermore, the in vivo investigations confirmed that RDMSNs could efficiently deliver DOX to lymphoma B cells by pH stimuli, thus inducing cell apoptosis and inhibiting tumor growth, while with minimal toxic side effects.

conclusionsThis targeted and pH-sensitive controlled drug delivery system has the potential for promising application to enhance the therapeutic index and reduce the side effects of B cell lymphoma therapy.

Indexed as

AnimalsAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsCell Line, TumorCell SurvivalDoxorubicinHumansHydrogen-Ion ConcentrationJurkat CellsLymphoma, B-CellMiceNanoparticlesRituximabSilicon DioxideTreatment OutcomeXenograft Model Antitumor AssaysAntineoplastic AgentsDoxorubicinRituximabSilicon DioxideB cell lymphomaMesoporous silica nanoparticlespH-responseRituximabTargeted drug delivery

Identifiers

PMID28166836
PMCPMC5292796
OpenAlexW2586360846

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.