Evidence map›Paper›PMID 35037237›Full record

ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2022

The roles and therapeutic approaches of MSC-derived exosomes in colorectal cancer.

Jie Yang, Liman Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. 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

2 authors.

Jie YangAnorectal, Shijiazhuang Hospital of Traditional Chinese Medicine, Shijiazhuang, 050051, China. yangjie198703@163.com.ORCID http://orcid.org/0000-0002-2240-8504
Liman ZhangAnorectal, Shijiazhuang Hospital of Traditional Chinese Medicine, Shijiazhuang, 050051, China.

Funding

Scientific research project of Hebei administration of traditional Chinese Medicine No. 2021242
6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most common cancer in both men and women, accounting for 8% of all new cancer cases in both. CRC is typically diagnosed at advanced stages, which leads to a higher mortality rate. The 5-year survival rate for CRC is 64% in all cases and just 12% in metastatic cases. Mesenchymal stem cells (MSCs) are one of the most recent approaches for therapeutic interventions in cancer. MSCs have multiple properties, including paracrine signaling, immunologic functions, and the ability to migrate to the targeted tissue. MSCs can produce and secrete exosomes in tumor microenvironments. These exosomes can transfer compounds across tumor cells, stromal cells, fibroblasts, endothelial cells, and immune cells. Studies showed that modified MCS-derived exosomes have enhanced specificity, reduced immunogenicity, and better targeting capabilities in comparison to other frequently used delivery systems such as liposomes. Therefore, this study aimed to provide a comprehensive view of the role of natural MSC-derived exosomes in CRC, as well as the most current and prospective advancements in MSC-derived exosome therapeutic modifications.

Indexed as

Colorectal NeoplasmsExosomesMesenchymal Stem CellsEndothelial CellsFemaleHumansMaleProspective StudiesTumor MicroenvironmentCancer therapyColorectal cancerExosomeMSC

Identifiers

What OpenQuestion holds

Textmetadata
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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.