Evidence map›Paper›PMID 31249880›Full record

ArticleBioengineering & translational medicine2019

"Locked" cancer cells are more sensitive to chemotherapy.

Yaqi Lyu, Qingqing Xiao, Yi Li, Yubing Wu, Wei He, Lifang Yin

Abstract read
In one paragraph

Article in Bioengineering & translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. "Locked" cancer cells are more sensitive to chemotherapy.Bioengineering & translational medicine · 2019
    Article
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.

Yaqi LyuDepartment of Pharmaceutics School of Pharmacy, China Pharmaceutical University Nanjing China.
Qingqing XiaoDepartment of Pharmaceutics School of Pharmacy, China Pharmaceutical University Nanjing China.
Yi LiDepartment of Pharmaceutics School of Pharmacy, China Pharmaceutical University Nanjing China.
Yubing WuDepartment of Pharmaceutics School of Pharmacy, China Pharmaceutical University Nanjing China.
Wei HeDepartment of Pharmaceutics School of Pharmacy, China Pharmaceutical University Nanjing China.ORCID https://orcid.org/0000-0003-3075-3831
Lifang YinDepartment of Pharmaceutics School of Pharmacy, China Pharmaceutical University Nanjing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of metastatic cancer is a great challenging issue throughout the world. Conventional chemotherapy can kill the cancer cells and, whereas, would exacerbate the metastasis and induce drug resistance. Here, a new combinatorial treatment strategy of metastatic cancer was probed via subsequentially dosing dual nanomedicines, marimastat-loaded thermosensitive liposomes (MATT-LTSLs) and paclitaxel nanocrystals (PTX-Ns), via intravenous and intratumoral injection. First, the metastasis was blocked and cancer cells were locked in the tumor microenvironment (TME) by delivering the matrix metalloproteinase (MMP) inhibitor, MATT, to the tumor with LTSLs, downregulating the MMPs by threefold and reducing the degradation of the extracellular matrix. And then, the "locked" cancer cells were efficiently killed via intratumoral injection of the other cytotoxic nanomedicine, PTX-Ns, along with no metastasis and 100% inhibition of tumor growth. This work highlights the importance of the TME's integrity in the chemotherapy duration. We believe this is a generalized strategy for cancer treatment and has potential guidance for the clinical administration.

Indexed as

dual nanomedicinesextracellular matrixmatrix metalloproteinase inhibitormetastatic cancertumor microenvironment

Identifiers

PMID31249880
PMCPMC6584094

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.