Evidence map›Paper›PMID 33532313›Full record

ArticleTranslational andrology and urology2021

SMARCC1 expression is positively correlated with pathological grade and good prognosis in renal cell carcinoma.

Gangmin Wang, Qi Lv, Chunhui Ma, Yinan Zhang, Haoming Li, Qiang Ding

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational andrology and urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Frontiers in cell and developmental biology · 2021
    Article
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 5 institutions in 1 country.

Gangmin WangDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, China.
Qi LvImaging Department of Tongji Hospital, Medical School of Tongji University, Shanghai, China.
Chunhui MaDepartment of Orthopedic Surgery, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, China.
Yinan ZhangDepartment of Urology, Shandong Province Affiliated Hospital, Shandong University, Jinan, China.
Haoming LiDepartment of Human Anatomy, Medical School of Nantong University, Nantong, China.
Qiang DingDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, China.
Fudan University · CNNantong University · CNShandong University · CNShanghai First People's Hospital · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal cell carcinoma (RCC), which is derived from the renal tubular epithelium, is now the most common urological cancer. Of the four RCC subtypes, clear cell RCC (ccRCC) is the most common subtype and accounts for 75-80% of all RCC cases. SMARCC1, also known as BAF155, together with SMARCA4, SMARCA2, and SMARCB1, comprises the SWI/SNF protein family. It has been reported that the expression of SMARCC1 was correlated with some human cancers including prostate cancer, colon cancer, and pancreatic cancer. However, the mechanisms and regulatory roles of SMARCC1 in ccRCC are not well defined.

methodsOur current study primarily investigated the expression of SMARCC1 and its clinical importance in two common histological types of ccRCC using microarrays (HKidE180Su02, MecDNA-HKidE030CS01).

resultsThe results showed that the expression of SMARCC1 in ccRCC tissues was significantly decreased compared with that in corresponding para-tumor tissue (4.370±2.036

conclusionsA further study is necessary to explain the mechanism of the occurrence and progression of ccRCC.

Indexed as

prognosisrenal cell carcinoma (RCC)SMARCC1

Identifiers

PMID33532313
PMCPMC7844531
OpenAlexW3107472743

What OpenQuestion holds

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Registered trials

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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.