Evidence map›Paper›PMID 34844217›Full record

ArticleAging2021

Tumor purity as a prognosis and immunotherapy relevant feature in cervical cancer.

Yali Deng, Zewen Song, Li Huang, Zhenni Guo, Binghua Tong, Meiqing Sun, Jin Zhao, Huina Zhang, Zhen Zhang, Guoyin Li

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.1field-weighted citation impact, top 6% 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

40 citing papers in PubMed, 51 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

10 authors at 4 institutions in 1 country.

Yali DengThe Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zewen SongDepartment of Oncology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Li HuangCollege of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China.
Zhenni GuoCollege of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China.
Binghua TongCollege of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China.
Meiqing SunCollege of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China.
Jin ZhaoCollege of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China.
Huina ZhangCollege of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China.
Zhen ZhangDepartment of Oncology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Guoyin LiCollege of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China.
Zhoukou Normal University · CNThird Xiangya Hospital · CNCentral South University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor purity plays a vital role in the biological process of solid tumors, but its function in gynecologic cancers remains unclear. This study explored the correlation between tumor purity and immune function of gynecological cancers and its reliability as a prognostic indicator of immunotherapy.

methodsGynecological cancer-related datasets were downloaded from The Cancer Genome Atlas (TCGA). Tumor purity was calculated by the ESTIMATE algorithm. A LASSO Cox regression analysis was performed to construct the risk score model. A Kaplan-Meier Plotter was used to explore the relationships between tumor purity and cancer prognosis. We performed the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) to explore the pathways in the subgroups. A nomogram was used to quantitatively assess the cancer prognosis.

resultsTumor purity was negatively correlated with B cell infiltration in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC). Approximately 420 genes were positively associated with B cell infiltration and CESC prognosis and were enriched in immune-related signaling pathways. There were 11 key genes used to construct a risk score model. The low-risk group had a higher immune score and better prognosis than the high-risk group. A nomogram based on risk score, T stage, and clinical-stage had good predictive value in quantitatively evaluating CESC prognosis.

conclusionsThis study is the first to reveal the correlation between tumor purity and immunity in CESC and suggests that low-risk patients may be more sensitive to immunotherapy. This provides a theoretical basis for the clinical treatment of CESC.

Indexed as

Uterine Cervical NeoplasmsAlgorithmsDatabases, GeneticFemaleHumansImmunotherapyPrognosisTranscriptomeB cell infiltrationgynecologic cancerimmunityprognosistumor purity

Identifiers

PMID34844217
PMCPMC8660621
OpenAlexW3215160814

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.