Evidence map›Paper›PMID 30876464›Full record

ArticleBMC cancer2019

TM4SF1 is a potential target for anti-invasion and metastasis in ovarian cancer.

Caiyun Gao, Hongyu Yao, Huimin Liu, Yanying Feng, Zhijun Yang

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.1field-weighted citation impact, top 23% 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.

NCT04151186 naunknown statusnot on this map

A Clinical Study on the Safety and Efficacy of Chimeric Antigen Receptor T-cell Therapy for the TM4SF1- and EpCAM-positive Recurrent/Refractory Solid Tumors

TypeinterventionalSponsorsuhaichuanRan2019 to 2021Enrolled72ConditionsAdvanced Solid Tumor, NeoplasmsArmsTM4SF1- and EpCAM-positive chimeric antigen receptor T-cell therapy
NCT05673434 naunknown statusnot on this mapstarted 2023, after this paper: background citation

A Clinical Study on the Safety and Efficacy of CAR-T Therapy for the TM4SF1-positive Tumors of Digestive System

TypeinterventionalSponsorChanghai HospitalRan2023 to 2025Enrolled24ConditionsDigestive TumorArmsTM4SF1-positive chimeric antigen receptor T-cell therapy
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 38 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

5 authors at 1 institution in 1 country.

Caiyun GaoDepartment of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, No.71 Hedi Road, Nanning, 530021, China.
Hongyu YaoDepartment of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, No.71 Hedi Road, Nanning, 530021, China.
Huimin LiuDepartment of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, No.71 Hedi Road, Nanning, 530021, China.
Yanying FengDepartments of Electrocardiogram, Affiliated Tumor Hospital of Guangxi Medical University, No.71 Hedi Road, Nanning, 530021, China. fyy200820418@126.com.
Zhijun YangDepartment of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, No.71 Hedi Road, Nanning, 530021, China. yzj7528@126.com.ORCID http://orcid.org/0000-0002-2255-4034
Tumor Hospital of Guangxi Medical University · CN

Funding

Guangxi medical high-level backbone personnel training"139" Project 20141201 and 201822Guangxi Natural Science Foundation 2017GXNSFDA198009Special Fund of the 17th Guangxi New Century "Ten, Hundred, Thousand" Talent Project 2014210the National Natural Science Foundation of China 81360387
6 · The paper itself

Abstract

backgroundPatients with ovarian cancer commonly have a poor prognosis, owing to its invasiveness and distant metastasis. Studies have found TM4SF1 participates in regulating tumor cell invasion and migration. Therefore, it is expected to become a target for anti-invasion and metastasis in ovarian cancer.

methodsThe expression of TM4SF1 in normal ovarian epithelial tissues, benign ovarian tumor tissues, primary foci of epithelial ovarian cancer and the matched lymph mode metastatic foci was detected using immunohistochemistry to analyze its association with prognosis. The expression of TM4SF1 in HO8910PM, SKOV3 was inhibited using RNAi, and the growth, proliferation, migration, invasion abilities of HO8910PM and SKOV3 cells and the growth of xenograft tumors in nude mice were examined.

results(1) The positive expression rate of TM4SF1 protein in epithelial ovarian cancer tissues (90.90%) was higher than that in benign ovarian tumor tissues (65.22%) and normal ovarian epithelial tissues (31.25%), and both differences were significant (P < 0.05). The expression of TM4SF1 protein was positive in all metastatic lymph node foci and matched primary foci (100%). (2) The level of TM4SF1 protein expression was positively correlated with the International Federation of Gynecology and Obstetrics (FIGO) stage and histological grade. However, The positive TM4SF1 protein expression was not an independent factor of prognosis (P > 0.05). (3) Silencing TM4SF1 expression did not affect growth, proliferation, or cell cycle distribution but inhibited the migration and invasion abilities of HO8910PM and SKOV3 cells. Silencing TM4SF1 expression inhibited the growth of xenograft tumors in nude mice.

conclusionTM4SF1 is a potential target for anti-invasion and metastasis in ovarian cancer.

Indexed as

Up-RegulationAnimalsAntigens, SurfaceCarcinoma, Ovarian EpithelialCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansMiceMice, NudeNeoplasm GradingNeoplasm InvasivenessNeoplasm MetastasisNeoplasm ProteinsAntigens, SurfaceNeoplasm ProteinsTM4SF1 protein, humanInvasionMetastasisOvarian cancerTargetTM4SF1

Identifiers

PMID30876464
PMCPMC6419813
OpenAlexW2940562439

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.