Evidence map›Paper›PMID 34159090›Full record

ArticleTranslational andrology and urology2021

Neoadjuvant combination of pazopanib or axitinib and programmed cell death protein-1-activated dendritic cell-cytokine-induced killer cells immunotherapy may facilitate surgery in patients with renal cell carcinoma.

Zhiling Zhang, Longbin Xiong, Zeshen Wu, Huiming Liu, Kang Ning, Yulu Peng, Chunping Yu, Ya Ding, Desheng Weng, Jianchuan Xia and 5 more

Registry-linked trialOpen access · diamondAbstract read
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. It is linked to trial NCT07172386 (A Study on the Safety and Efficacy of Super-selective Tumour Arterial Embolisation in Combination With Toripalimab and Axitinib as a Preoperative Treatment for Advanced Renal Cell Carcinoma), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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.

NCT07172386 phase2recruitingnot on this mapstarted 2025, after this paper: background citation

A Study on the Safety and Efficacy of Super-selective Tumour Arterial Embolisation in Combination With Toripalimab and Axitinib as a Preoperative Treatment for Advanced Renal Cell Carcinoma

TypeinterventionalSponsorTianjin Medical University Second HospitalRan2025 to 2027Enrolled40ConditionsRenal Cell Carcinoma (RCC)ArmsToripalimab and axitinib
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
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  4. Article
  5. Review
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

15 authors at 3 institutions in 1 country.

Zhiling ZhangDepartment of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Longbin XiongDepartment of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zeshen WuDepartment of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Huiming LiuState Key Laboratory of Oncology in Southern China, Guangzhou, China.
Kang NingDepartment of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yulu PengDepartment of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Chunping YuDepartment of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Ya DingState Key Laboratory of Oncology in Southern China, Guangzhou, China.
Desheng WengState Key Laboratory of Oncology in Southern China, Guangzhou, China.
Jianchuan XiaState Key Laboratory of Oncology in Southern China, Guangzhou, China.
Lijuan JiangDepartment of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Shengjie GuoDepartment of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Hui HanDepartment of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Fangjian ZhouDepartment of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Pei DongDepartment of Urology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Southern Medical University · CNSun Yat-sen University · CNSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadical/cytoreductive nephrectomy or nephron-sparing surgery may be thought to be not safe or unfeasible in some renal cell carcinoma (RCC) patients in which tumor is locally advanced or highly complicated. Neoadjuvant therapy may reduce the volume of the tumor, thus facilitates surgery. The aim the study is to evaluate the efficacy and safety of neoadjuvant combination of pazopanib or axitinib and PD-1-activated dendritic cell-cytokine-induced killer (PD-1/DC-CIK) cell immunotherapy in those patients.

methodsData from 16 RCC patients who received neoadjuvant pazopanib (Group P, n=9) or axitinib (Group A, n=7) plus PD-1/DC-CIK cells immunotherapy were reviewed retrospectively. A total of 9 participants that were potential candidates for radical/cytoreductive nephrectomy (RN/CN) had locally advanced tumor and 5 participants with partial nephrectomy (PN) absolute indications had highly complicated tumors. The efficacy outcomes were based on volume changes of the primary tumor, lymph nodes, and tumor thrombus in 13 participants with complete computed tomography (CT) imaging. The treatment-related toxicities and surgical complications were also reported.

resultsWith a median of 2.1 months treatment, the overall volume of the tumors decreased by a median of 42.30% [interquartile range (IQR): 19.37-66.78%]. Specifically, the median reduction of tumor volume was 88.77 and 15.50 cm

conclusionsNeoadjuvant combination of pazopanib or axitinib and PD-1/DC-CIK cells immunotherapy was well-tolerated and could effectively reduce the volume of tumors in locally advanced or highly complicated RCC patients.

Indexed as

axitinibNeoadjuvantpazopanibPD-1/DC-CIK cells immunotherapy

Identifiers

PMID34159090
PMCPMC8185689
OpenAlexW3165701294

What OpenQuestion holds

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Registered trials

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.