Evidence map›Paper›PMID 36381657›Full record

ArticleMolecular therapy oncolytics2022

Cancer stem/progenitor signatures refine the classification of clear cell renal cell carcinoma with stratified prognosis and decreased immunotherapy efficacy.

Peng Zhou, Henglong Hu, Yuchao Lu, Jun Xiao, Yanan Wang, Yang Xun, Jinzhou Xu, Chenqian Liu, Shaogang Wang, Jia Hu

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy oncolytics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Cancer Stem Cells in Renal Cell Carcinoma: Origins and Biomarkers.International journal of molecular sciences · 2023
    Review
  5. Article
  6. 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

10 authors at 2 institutions in 1 country.

Peng ZhouDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Henglong HuDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Yuchao LuDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Jun XiaoDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Yanan WangDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Yang XunDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Jinzhou XuDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Chenqian LiuDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Shaogang WangDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Jia HuDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Tongji Hospital · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies suggest that cancer stemness drives the acquired drug resistance process in cancer therapy. The complementary information provided by multi-omics data can help us to gain a deeper understanding of this process. This study aims to elucidate the impact of cancer stemness on the frontline treatment of clear cell renal cell carcinoma (ccRCC). Consensus clustering based on stem/progenitor signatures refined 3 subgroups in 1,730 tumor samples. We identified master regulons that regulate cancer stemness phenotypes, including key transcription factors, DNA methyltransferases, and promoter methylation probes. In addition, we compared the clinicopathological traits, genomic heterogeneity, cancer hallmarks, tumor microenvironment (TME), and oncological prognosis of the stemness subgroups. Cancer stemness was correlated with reduced efficiency of immune checkpoint blockade therapy. Cancer stemness profoundly affects the prognosis and treatment outcome of ccRCC by increasing genomic instability, tumor-associated malignant events, and immunosuppressive factors. For clinical application, we established and validated a 243-gene signature from stem/progenitor-related genes to distinguish anti-PD-1 outcomes. Overall, this presented study suggested that cancer stemness leads to adaptive resistance to anti-PD-1 treatment in CD8

Indexed as

anti-PD-1 treatmentcancer stemnesscancer subtypesepigenetic modifiersc-RNA seqtumor microenvironments

Identifiers

PMID36381657
PMCPMC9633874
OpenAlexW4306145943

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.