Evidence map›Paper›PMID 36538073›Full record

ArticleEuropean radiology2023

Association of computed tomography-based body composition with survival in metastatic renal cancer patient received immunotherapy: a multicenter, retrospective study.

Jun Wang, Pei Dong, Yuanyuan Qu, Wenhao Xu, Zhaohui Zhou, Kang Ning, Yulu Peng, Longbin Xiong, Zhen Li, Xiangpeng Zou and 13 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
2.2field-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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 20 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

23 authors at 6 institutions in 1 country.

Jun Wang *State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Pei Dong *State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yuanyuan Qu *Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Wenhao Xu *Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhaohui Zhou *State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Kang NingState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yulu PengState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Longbin XiongState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zhen LiState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xiangpeng ZouState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zhenhua LiuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Mingzhao LiDepartment of Urology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhisong HeDepartment of Urology, Peking University First Hospital, Beijing, China.
Junhang LuoDepartment of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xi TianDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Hailiang ZhangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Shengjie GuoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Hui HanState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Fangjian ZhouState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Shaohan YinState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Dingwei YeDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China. dwyeli@163.com.
Chunping YuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China. yuchp@sysucc.org.cn.
Zhiling ZhangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China. zhangzhl@sysucc.org.cn.
Sun Yat-sen University Cancer Center · CNSun Yat-sen University · CNFudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CNPeking University First Hospital · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

National Natural Science Foundation of China 81972382 and 81872091Natural Science Foundation for Distinguished Young Scholars of Guangdong Province 2021B1515020077
6 · The paper itself

Abstract

objectivesTo investigate the association of computed tomography-assessed body composition with survival outcomes of metastatic renal cell carcinoma (mRCC) received immunotherapy.

methodsIn this multicenter, retrospective study, we reviewed 251 mRCC patients who received anti-PD1 from five centers. We analyzed the relationship between BMI, skeletal muscle area (SM), subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and subcutaneous adipose percentage (SAT%) with progression-free survival (PFS) and overall survival (OS). The spatial localization T cells was investigated by multiplex immunofluorescence.

resultsAmong 224 evaluable patients, 23 (10.3%) patients were underweight, 118 (52.7%) had normal weight, 65 (29%) were overweight, and 18 patients (8%) were obese. The median age was 55 years and most patients were male (71%). No significant improvement in PFS (HR, 0.61; 95% CI, 0.27-1.42) or OS (HR, 1.09; 95% CI, 0.38-3.13) was observed for the obese patients. Besides, SM, VAT, and SAT were not associated with survival outcomes (all p > 0.05). Interestingly, SAT% independently predicted PFS (as continuous variable, HR: 0.02; 95% CI, 0.01-0.11) and OS (HR:0.05; 95% CI, 0.01-0.39), which remained significant in multivariate modeling (as continuous variable, adjusted HR for PFS, 0.01; 95% CI, 0.00-0.04; adjusted HR for OS, 0.08; 95% CI, 0.01-0.72). These associations were consistent in subgroup analysis of different gender, BMI, PD-L1 positive, and sarcopenia group. Tumor of high SAT% patients had a higher intratumoral PD1

conclusionHigh SAT% predicts better outcomes in mRCC patients treated with anti-PD1 and T cell location may account for the better response. KEY POINTS: • CT-based subcutaneous adipose percentage independently predicted progression-free survival and overall survival. • Patients with a higher subcutaneous adipose percentage had a higher intratumoral PD1

Indexed as

Carcinoma, Renal CellKidney NeoplasmsBody CompositionFemaleHumansImmunotherapyMaleMiddle AgedObesityPrognosisRetrospective StudiesTomography, X-Ray ComputedBody compositionBody mass indexImmunotherapyKidney neoplasmsTumor microenvironment

Identifiers

PMID36538073
OpenAlexW4312019828

What OpenQuestion holds

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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.