Evidence map›Paper›PMID 35205332›Full record

ArticleGenes2022

Characterization of the Genomic Landscape in Cervical Cancer by Next Generation Sequencing.

Ling Qiu, Hao Feng, Hailin Yu, Ming Li, Yana You, Shurong Zhu, Wenting Yang, Hua Jiang, Xin Wu

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. 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

9 authors at 2 institutions in 2 countries.

Ling QiuDepartment of Gynecological Oncology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200082, China.ORCID 0000-0001-7268-2360
Hao FengDepartment of Gynecological Oncology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200082, China.
Hailin YuDepartment of Gynecological Oncology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200082, China.
Ming LiDepartment of Gynecological Oncology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200082, China.
Yana YouDepartment of Gynecological Oncology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200082, China.
Shurong ZhuDepartment of Gynecological Oncology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200082, China.
Wenting YangDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Hua JiangDepartment of Gynecological Oncology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200082, China.
Xin WuDepartment of Gynecological Oncology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200082, China.
Obstetrics and Gynecology Hospital of Fudan University · CNStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer is the fourth leading cause of cancer-related deaths in women worldwide. Although many sequencing studies have been carried out, the genetic characteristics of cervical cancer remain to be fully elucidated, especially in the Asian population. Herein, we investigated the genetic landscape of Chinese cervical cancer patients using a validated multigene next generation sequencing (NGS) panel. We analyzed 64 samples, consisting of 32 tumors and 32 blood samples from 32 Chinese cervical cancer patients by performing multigene NGS with a panel targeting 571 cancer-related genes. A total of 810 somatic variants, 2730 germline mutations and 701 copy number variations (CNVs) were identified. FAT1, HLA-B, PIK3CA, MTOR, KMT2D and ZFHX3 were the most mutated genes. Further, PIK3CA, BRCA1, BRCA2, ATM and TP53 gene loci had a higher frequency of CNVs. Moreover, the role of PIK3CA in cervical cancer was further highlighted by comparing with the ONCOKB database, especially for E545K and E542K, which were reported to confer radioresistance to cervical cancer. Notably, analysis of potential therapeutic targets suggested that cervical cancer patients could benefit from PARP inhibitors. This multigene NGS analysis revealed several novel genetic alterations in Chinese patients with cervical cancer and highlighted the role of PIK3CA in cervical cancer. Overall, this study showed that genetic variations not only affect the genetic susceptibility of cervical cancer, but also influence the resistance of cervical cancer to radiotherapy, but further studies involving a larger patient population should be undertaken to validate these findings.

Indexed as

High-Throughput Nucleotide SequencingUterine Cervical NeoplasmsClass I Phosphatidylinositol 3-KinasesDNA Copy Number VariationsFemaleGenomicsHumansClass I Phosphatidylinositol 3-Kinasescervical cancergenetic traitsmultigene NGS panelPIK3CAtherapeutic target

Identifiers

PMID35205332
PMCPMC8871541
OpenAlexW4210259865

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.