Evidence map›Paper›PMID 38018346›Full record

ArticleCancer medicine2023

Neutrophil extracellular traps in relationship to efficacy of systemic therapy for metastatic renal cell carcinoma.

Ruiyang Xie, Bingqing Shang, Hongzhe Shi, Xingang Bi, Yan Song, Wang Qu, Hongsong Bai, Linjun Hu, Jie Wu, Honglei Cui and 8 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. 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

18 authors at 3 institutions in 1 country.

Ruiyang XieDepartment of Urology, Peking University Third Hospital, Beijing, China.
Bingqing ShangDepartment of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hongzhe ShiDepartment of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xingang BiDepartment of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yan SongDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wang QuDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hongsong BaiDepartment of Urology, Cancer Hospital of Huanxing, Beijing, China.
Linjun HuDepartment of Urology, Cancer Hospital of Huanxing, Beijing, China.
Jie WuDepartment of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0001-5142-1946
Honglei CuiDepartment of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Gan DuDepartment of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lei GuoDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shan ZhengDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jianming YingDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Changling LiDepartment of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jianhui MaDepartment of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Aiping ZhouDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jianzhong ShouDepartment of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0009-0000-6795-7040
Chinese Academy of Medical Sciences & Peking Union Medical College · CNCancer Hospital of Huanxing Chaoyang District Beijing · CNPeking University · CN

Funding

Beijing Hope Run Special Fund of Cancer Foundation of China LC2018L02Beijing Municipal Natural Science Foundation 7212083National Natural Science Foundation of China 82072837
6 · The paper itself

Abstract

backgroundThe efficacy of systemic therapy regimens, such as immune checkpoint inhibitors and tyrosine kinase inhibitors (IO-TKI) and targeted therapy, for metastatic clear cell renal cell carcinoma (ccRCC) remains unpredictable due to the lack of effective biomarkers. Neutrophil extracellular trap (NET) plays an important role in promoting ccRCC. This study explores the NET predictive value of the efficacy in metastatic ccRCC.

methodsIn this retrospective study, patients with metastatic ccRCC who received targeted drugs and IO-TKI were included. Immunofluorescence staining was utilized to quantify the levels of tissue NETs through cell counts of H3Cit(+) and MPO(+) cells.

resultsA total of 183 patients with metastatic ccRCC were enrolled, including 150 patients who received TKIs and 33 patients who received IO-TKI. The levels of NETs in tumor tissue were significantly higher than in para-tumor tissue (p < 0.001). In terms of predicting drug efficacy, a correlation between NET levels and progression-free survival (PFS) was observed in the TKI with metachronous metastasis group (HR 1.73 [95% CI 1.02-2.91], log-rank p = 0.037), while no correlation was observed in the TKI with synchronous metastasis group and IO-TKI group. Regarding overall survival (OS), activated NET levels were associated with poor OS in both TKI (HR 1.60 [95% CI 1.05-2.43], log-rank p  = 0.017) and IO-TKI group (HR 4.35 [95% CI 1.06-17.82], log-rank p =0.047). IMDC score (HR 1.462 [95% CI 1.030-2.075], p = 0.033) and tumor tissue NET levels (HR 1.733 [95% CI 1.165-2.579], p = 0.007) were independent prognostic risk factors for OS in patients with metastatic ccRCC.NET level was associated with poor OS in both TKI (HR 1.60 [95% CI 1.05-2.43], log-rank p  = 0.017).

conclusionsThe active NET levels in tumor tissue can predict drug efficacy in patients with metastatic ccRCC who received systemic therapy. Elevated levels of NETs in tumor tissue were also associated with poor efficacy in OS.

Indexed as

Carcinoma, Renal CellExtracellular TrapsKidney NeoplasmsHumansPrognosisProtein Kinase InhibitorsRetrospective StudiesProtein Kinase Inhibitorsefficacy predictionmetastatic clear cell renal cell carcinomaneutrophil extracellular trapssystemic therapy

Identifiers

PMID38018346
PMCPMC10757093
OpenAlexW4389148298

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.