Evidence map›Paper›PMID 34745095›Full record

ArticleFrontiers in immunology2021

Association Analyses of

Xiang-Mei Wen, Zi-Jun Xu, Ye Jin, Pei-Hui Xia, Ji-Chun Ma, Wei Qian, Jiang Lin, Jun Qian

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Frontiers in oncology · 2025
    Review
  7. Review
  8. Article
  9. Integrated genetic, epigenetic, and immune landscape ofTherapeutic advances in hematology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. TP53-Mutated Myelodysplasia and Acute Myeloid Leukemia.Mediterranean journal of hematology and infectious diseases · 2023
    Review
  16. Journal of oncology · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 2 institutions in 1 country.

Xiang-Mei WenLaboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Zi-Jun XuLaboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Ye JinZhenjiang Clinical Research Center of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Pei-Hui XiaZhenjiang Clinical Research Center of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Ji-Chun MaLaboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Wei QianDepartment of Otolaryngology-Head and Neck Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Jiang LinLaboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Jun QianZhenjiang Clinical Research Center of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Affiliated Hospital of Jiangsu University · CNJiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a heterogeneous disease related to a broad spectrum of molecular alterations. The successes of immunotherapies treating solid tumors and a deeper understanding of the immune systems of patients with hematologic malignancies have promoted the development of immunotherapies for the treatment of AML. And high tumor mutational burden (TMB) is an emerging predictive biomarker for response to immunotherapy. However, the association of gene mutation in AML with TMB and immunological features still has not been clearly elucidated. In our study, based on The Cancer Genome Atlas (TCGA) and BeatAML cohorts, 20 frequently mutated genes were found to be covered by both datasets in AML. And

Indexed as

Biomarkers, TumorDisease SusceptibilityMutationComputational BiologyDatabases, GeneticGene Expression Regulation, NeoplasticHumansLeukemia, Myeloid, AcuteLymphocytes, Tumor-InfiltratingTumor MicroenvironmentTumor Suppressor Protein p53Biomarkers, TumorTP53 protein, humanTumor Suppressor Protein p53acute myeloid leukemiamutationprognosisTP53tumor-infiltrating immune cellstumor mutational burden

Identifiers

PMID34745095
PMCPMC8566372
OpenAlexW3208447215

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.