Evidence map›Paper›PMID 37152280›Full record

ReviewFrontiers in cell and developmental biology2023

Role of the tumor microenvironment in malignant melanoma organoids during the development and metastasis of tumors.

Siyu Zhou, Jinghan Lu, Shiyang Liu, Jiaqi Shao, Zhanwei Liu, Jianjun Li, Wan'an Xiao

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.2field-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

17 citing papers in PubMed, 27 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

7 authors at 1 institution in 1 country.

Siyu ZhouDepartment of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Jinghan LuDepartment of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Shiyang LiuDepartment of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Jiaqi ShaoDepartment of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Zhanwei LiuDepartment of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Jianjun LiDepartment of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Wan'an XiaoDepartment of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant melanoma (MM) is the most metastatic and aggressive form of skin cancer, and carries a high risk of death. Immune-checkpoint inhibitor therapy and molecular-targeted therapy can prolong the survival of patients with advanced MM significantly. However, the low response rate and inevitable drug resistance prevent further improvements in efficacy, which is closely related to the tumor microenvironment (TME). The TME refers to the tumor stroma, including fibroblasts, keratinocytes, immune cells, soluble molecules, and extracellular matrix (ECM). The dynamic interaction between the TME and tumor cells is very important for the growth, local invasion, and metastatic spread of tumor cells. A patient-derived organoid (PDO) model involves isolation of tumor tissue from patients with MM and culturing it

Indexed as

cancer-associated fibroblasts (CAFs)extracellular matrix (ECM)immunetherapymelanomapatient-derived organoids (PDO)tumor microenviroment (TME)

Identifiers

PMID37152280
PMCPMC10154581
OpenAlexW4366428232

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.