Evidence map›Paper›PMID 37108666›Full record

ArticleInternational journal of molecular sciences2023

SAA1 Has Potential as a Prognostic Biomarker Correlated with Cell Proliferation, Migration, and an Indicator for Immune Infiltration of Tumor Microenvironment in Clear Cell Renal Cell Carcinoma.

Zhijie Xu, Yunfei Wu, Guanghou Fu, Xiaoyi Chen, Junjie Sun, Junjie Tian, Peng Jiang, Yimin Wang, Baiye Jin

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 13 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

9 authors at 1 institution in 1 country.

Zhijie XuDepartment of Urology, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.
Yunfei WuDepartment of Urology, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.
Guanghou FuDepartment of Urology, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.
Xiaoyi ChenDepartment of Urology, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.
Junjie SunDepartment of Urology, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.
Junjie TianDepartment of Urology, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.
Peng JiangDepartment of Urology, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.
Yimin WangDepartment of Urology, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.
Baiye JinDepartment of Urology, School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou 310009, China.ORCID 0000-0002-6667-0424
First Affiliated Hospital Zhejiang University · CN

Funding

Medical Health Science and Technology Project of Zhejiang Provincial Health Commission 2022RC146Natural Science Foundation of Zhejiang Province of China LQ22H050003
6 · The paper itself

Abstract

The tumor microenvironment (TME) plays an important part in the initiation and development of clear cell renal cell carcinoma (ccRCC). However, an understanding of the immune infiltration in TME is still unknown. Our study aims to explore the correlation between the TME and the clinical features, as well as the prognosis of ccRCC. In the present study, ESTIMATE and CIBERSORT computational methods were applied to calculate the proportion of tumor-infiltrating immune cells (TICs) and the amount of immune and stromal fractions in the ccRCC form The Cancer Genome Atlas (TCGA) database. Then, we sought to find out those immune cell types and genes which may play a significant role and validated them in the GEO database. Furthermore, an immunohistochemical analysis of our external validation dataset was used to detect SAA1 and PDL1 expression in the ccRCC cancer tissues and corresponding normal tissues. Statistical analysis was performed to study the relationship between SAA1 and clinical characteristics, as well as PDL1 expression. Furthermore, a ccRCC cell model with SAA1 knockdown was constructed, which was used for cell proliferation and the migration test. The intersection analysis of the univariate COX and PPI analysis were performed to imply Serum Amyloid A1 (SAA1) as a predictive factor. The expression of SAA1 was significantly negatively correlated to OS and positively correlated to the clinical TMN stage system. The genes in the high-expression SAA1 group were basically enriched in immune-related activities. The proportion of mast cells resting was negatively correlated with SAA1 expression, indicating that SAA1 may be involved in the maintenance of the immune status for the TME. Moreover, the PDL1 expression was positively related to the SAA1 expression and negatively correlated with the patients' prognosis. Further experiments revealed that the knockdown of SAA1 inhibited ccRCC development through suppressing cell proliferation and migration. SAA1 may be a novel marker for the prognosis prediction of ccRCC patients and may play a vital role in the TME by mast cell resting and PDL1 expression. SAA1 has the potential to become a therapeutic target and indicator for immune target therapy in ccRCC treatment.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsBiomarkersCell ProliferationHumansPrognosisSerum Amyloid A ProteinTumor MicroenvironmentBiomarkersSAA1 protein, humanSerum Amyloid A Proteinclear cell renal cell carcinoma (ccRCC)immune infiltrationmast cells restingpatient survivalPDL1prognostic markerSAA1tumor microenvironment

Identifiers

PMID37108666
PMCPMC10138873
OpenAlexW4366590588

What OpenQuestion holds

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LicenceCC BY
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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.