Evidence map›Paper›PMID 28109087›Full record

ArticleOncology research2018

CD103

Xiaolin Miao, Yiqi Chen, Ke Hao, Meiqin Zheng, Bingyu Chen, Kaiqiang Li, Ying Wang, Wei Zhang, Yu Zhang, Xiaozhou Mou and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Oncology research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. 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

12 authors at 2 institutions in 1 country.

Xiaolin MiaoEye Hospital of Wenzhou Medical University, Zhejiang, P.R. China.
Yiqi ChenEye Hospital of Wenzhou Medical University, Zhejiang, P.R. China.
Ke HaoResearch Center of Blood Transfusion Medicine, Education Ministry Key Laboratory of Laboratory Medicine, Zhejiang Provincial People's Hospital, Zhejiang, P.R. China.
Meiqin ZhengSchool of Laboratory Medicine and Life Science, Wenzhou Medical University, Zhejiang, P.R. China.
Bingyu ChenResearch Center of Blood Transfusion Medicine, Education Ministry Key Laboratory of Laboratory Medicine, Zhejiang Provincial People's Hospital, Zhejiang, P.R. China.
Kaiqiang LiResearch Center of Blood Transfusion Medicine, Education Ministry Key Laboratory of Laboratory Medicine, Zhejiang Provincial People's Hospital, Zhejiang, P.R. China.
Ying WangResearch Center of Blood Transfusion Medicine, Education Ministry Key Laboratory of Laboratory Medicine, Zhejiang Provincial People's Hospital, Zhejiang, P.R. China.
Wei ZhangClinical Research Institute, Zhejiang Provincial People's Hospital, Zhejiang, P.R. China.
Yu ZhangClinical Research Institute, Zhejiang Provincial People's Hospital, Zhejiang, P.R. China.
Xiaozhou MouClinical Research Institute, Zhejiang Provincial People's Hospital, Zhejiang, P.R. China.
Shanshan JiangDepartment of Gynecology, Zhejiang Provincial People's Hospital, Zhejiang, P.R. China.
Zhen WangSchool of Laboratory Medicine and Life Science, Wenzhou Medical University, Zhejiang, P.R. China.
Zhejiang Provincial People's Hospital · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma is a lethal disease featuring a high proliferation of tumor cells, excessive angiogenesis, and heavy drug resistance. The overall survival of glioblastoma patients has been dismal, even with an intensive standard of care. Recent advances in immune checkpoint blockades are changing the treatment of cancers. However, the efficacy of immune checkpoint blockades in glioblastoma is still unclear. Here we investigated the roles of CD103+ cells in regulating the effect of immune checkpoint blockades in glioblastoma mouse models. Our findings indicated that the murine glioblastoma model was not sensitive to immune checkpoint blockades. Flt3L, a growth factor for CD103+ cells, could significantly increase the number of CD103+ dendritic cells in the murine glioblastoma model and, thus, sensitize murine glioblastoma to immune checkpoint blockades. Downstream analysis indicated that the Flt3L and immune checkpoint blockade combination increased the number of tumor-infiltrating CD8+ cells, decreased immune checkpoint expression, and therefore enhanced the antitumor immune response in the murine glioblastoma model. These findings suggested that Flt3L could enhance the efficacy of immune checkpoint blockades in glioblastoma via expanding CD103+ dendritic cells and downstream antitumor immune response.

Indexed as

ImmunomodulationAnimalsAntigens, CDAntineoplastic Agents, ImmunologicalBiomarkersBiomarkers, TumorCD8-Positive T-LymphocytesCell Line, TumorDendritic CellsDisease Models, AnimalGlioblastomaHumansIntegrin alpha ChainsLymphocytes, Tumor-InfiltratingMembrane ProteinsMicealpha E integrinsAntigens, CDAntineoplastic Agents, ImmunologicalBiomarkersBiomarkers, Tumorflt3 ligand proteinIntegrin alpha ChainsMembrane Proteins

Identifiers

PMID28109087
PMCPMC7844614
OpenAlexW2575626915

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.