Evidence map›Paper›PMID 29755111›Full record

ArticleCancer gene therapy2018

Genomic landscape and prognostic analysis of mantle cell lymphoma.

Ping Yang, Weilong Zhang, Jing Wang, Yuanyuan Liu, Ran An, Hongmei Jing

Abstract read
PubMed Publisher
In one paragraph

Article in Cancer gene therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. NSD2 as a Promising Target in Hematological Disorders.International journal of molecular sciences · 2022
    Review
  11. Complex genetic and histopathological study of 15 patient-derived xenografts of aggressive lymphomas.Laboratory investigation; a journal of technical methods and pathology · 2022
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. High-Risk Mantle Cell Lymphoma in the Era of Novel Agents.Current hematologic malignancy reports · 2021
    Review
  18. Article
  19. Review
  20. Cell Cycle Dysregulation in Mantle Cell Lymphoma: Genomics and Therapy.Hematology/oncology clinics of North America · 2020
    Review
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

6 authors at 2 institutions in 1 country.

Ping YangDepartment of Hematology, Lymphoma Research Center, Peking University Third Hospital, 100191, Beijing, China.
Weilong ZhangDepartment of Hematology, Lymphoma Research Center, Peking University Third Hospital, 100191, Beijing, China.
Jing WangDepartment of Hematology, Lymphoma Research Center, Peking University Third Hospital, 100191, Beijing, China.
Yuanyuan LiuDepartment of Hematology, Lymphoma Research Center, Peking University Third Hospital, 100191, Beijing, China.
Ran AnDepartment of Hematology, Lymphoma Research Center, Peking University Third Hospital, 100191, Beijing, China.
Hongmei JingDepartment of Hematology, Lymphoma Research Center, Peking University Third Hospital, 100191, Beijing, China. jinghm70481@126.com.
Peking University Third Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To gain insight into the molecular pathogenesis of patients with mantle cell lymphoma (MCL), next-generation whole-exome sequencing of 16 MCL patients was performed. We identified recurrent mutations in genes that are well known to be functionally relevant in MCL, including ATM (37.5%), TP53 (31.3%), WHSC1 (31.3%), CCND1 (18.8%), NOTCH2 (6.3%), and CDKN2A (6.3%). We also identified somatic mutations in genes for which a functional role in MCL has not been previously suspected. These genes included CCDC15, APC, CDH1, S1PR1, ATRX, BRCA2, CASP8, and NOTCH3. Further, we investigated the prognostic factors associated with MCL from clinical, pathological, and genetic mutations. Mutations of TP53 (P = 0.021) was a significant prognostic factor with shorter overall survival (OS). Although there was no statistical difference, the median survival time of patients with WHSC1 mutations was shorter than those without mutations (P = 0.070). Mutations in ATM and CCND1 had no prognostic value (P = 0.552, 0.566). When adjusted for MCL International Prognostic Index (MIPI) or combined MCL-International Prognostic Index (MIPI-c), TP53 and WHSC1 mutations were the most important prognostic factors in MCL (P < 0.05). Our data provide an unbiased view of the landscape of mutations in MCL and commend that all patients benefit from mutations of TP53 and WHSC1 at diagnosis, in addition to MIPI and MIPI-c score.

Indexed as

Genome, HumanGenome-Wide Association StudyMutationAdultAgedAged, 80 and overDisease-Free SurvivalFemaleHumansLymphoma, Mantle-CellMaleMiddle AgedNeoplasm ProteinsSurvival RateNeoplasm Proteins

Identifiers

PMID29755111
OpenAlexW2799798839

What OpenQuestion holds

Textmetadata
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.