Evidence map›Paper›PMID 30519309›Full record

ArticleJournal of Cancer2018

Immunoscore System for Predicting Clinical Outcome of Metastatic Renal Cell Carcinoma Patients Treated with Tyrosine Kinase Inhibitors.

Jia-Xi Yao, Xiang Chen, Wei Xi, Yan-Jun Zhu, Hang Wang, Xiao-Yi Hu, Jian-Ming Guo

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 8 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 4 institutions in 1 country.

Jia-Xi YaoDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Xiang ChenDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Wei XiDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Yan-Jun ZhuDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Hang WangDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Xiao-Yi HuDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Jian-Ming GuoDepartment of Urology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Sun Yat-sen University · CNFudan University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted this study to determine whether immunoscore system (IS) predicts survival in patients with metastatic renal cell carcinoma (mRCC). A total of 218 mRCC patients treated with sunitinib or sorafenib in Zhongshan Hospital, Fudan University were recruited during 2007-2017, retrospectively. CD8, CD4, Treg, PD-1 and PD-L1 expression were evaluated by immunohistochemical staining of paraffin embedded slide. Kaplan-Meier method and COX regression model were used in survival analyses. Multivariate analyses demonstrated that expressions of CD8, Treg, PD-1 and stromal PD-L1 (sPD-L1) expressions were independent predictive factors for OS, thus IS was established containing these four immunological factors. Subsequent analysis revealed that performance of IS provided good differentiation of OS and PFS. Besides, multivariate analysis identified IS as an independent prognostic factor for OS (p<0.001) and PFS (p=0.002). IS, compared with International mRCC Database Consortium (IMDC) risk model, and provided better prediction ability for OS. Results suggested that IS was a powerful prognostic factor for OS and PFS in patients with mRCC treated with tyrosine kinase inhibitors. And IS can be used as essential supplement to IMDC for outcome prediction in mRCC patients.

Indexed as

immunoscore systemprognostic factorrenal cell carcinomatyrosine kinase inhibitors

Identifiers

PMID30519309
PMCPMC6277607
OpenAlexW2898613588

What OpenQuestion holds

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LicenceCC BY-NC
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.