Evidence map›Paper›PMID 28927026›Full record

ArticleOncology letters2017

Associations of tumor suppressor SPARCL1 with cancer progression and prognosis.

Ting Li, Xia Liu, Antai Yang, Wenjie Fu, Fuqiang Yin, Xiaoyun Zeng

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

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  8. Review
  9. The oncogenic functions of SPARCL1 in bladder cancer.Journal of cellular and molecular medicine · 2024
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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

6 authors at 2 institutions in 1 country.

Ting LiLife Sciences Institute, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Xia LiuCentre for Translational Medicine, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Antai YangLife Sciences Institute, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Wenjie FuCentre for Translational Medicine, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Fuqiang YinLife Sciences Institute, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Xiaoyun ZengKey Laboratory of High-Incidence-Tumor Prevention and Treatment, Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
Guangxi Medical University · CNGuangxi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SPARC-like protein 1 (SPARCL1), a member of the family of secreted proteins which is acidic and rich in cysteine, is a potential tumor suppressor gene in most types of tumor. A systemic review and bioinformatics analysis was carried out to determine the associations between SPARCL1 and tumor progression and clinical factors. Downregulation of SPARCL1, thought to be regulated by epigenetic modifications including DNA methylation, serves important functions in tumor progression and development, with its regulatory functions on cell viability, migration, invasion, cell adhesion and drug resistance. Downregulation of SPARCL1 was markedly associated with a poor overall survival rate of patients with one of ≥7 solid tumors and predicted increased mortality in patients with one of ≥4 distinct tumor types. The present review indicated that SPARCL1 may be a therapeutic target for cancer treatment and a biomarker to determine prognosis.

Indexed as

cancerprognosisprogressionSPARC-like protein 1tumor suppressor

Identifiers

PMID28927026
PMCPMC5588123
OpenAlexW2726485176

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.