Evidence map›Paper›PMID 32724129›Full record

ArticleScientific reports2020

PD-L1 expression in bone marrow plasma cells as a biomarker to predict multiple myeloma prognosis: developing a nomogram-based prognostic model.

Byung-Hyun Lee, Yong Park, Ji Hye Kim, Ka-Won Kang, Seung Jin Lee, Seok Jin Kim, Byung Soo Kim

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. CD34International journal of hematology · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Multiple myeloma and the potential of new checkpoint inhibitors for immunotherapy.Therapeutic advances in vaccines and immunotherapy · 2024
    Review
  11. The Involvement of LAG-3International journal of molecular sciences · 2023
    Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Immunological Prognostic Factors in Multiple Myeloma.International journal of molecular sciences · 2021
    Review
  20. 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

7 authors at 2 institutions in 1 country.

Byung-Hyun LeeDepartment of Internal Medicine, Korea University College of Medicine, Anam Hospital, 73, Inchon-ro, Seongbuk-gu, Seoul, 02841, Korea.
Yong ParkDepartment of Internal Medicine, Korea University College of Medicine, Anam Hospital, 73, Inchon-ro, Seongbuk-gu, Seoul, 02841, Korea.
Ji Hye KimDepartment of Biomedical Science, Graduate School of Medicine, Korea University, Seoul, Korea.
Ka-Won KangDepartment of Internal Medicine, Korea University College of Medicine, Anam Hospital, 73, Inchon-ro, Seongbuk-gu, Seoul, 02841, Korea.
Seung Jin LeeDepartment of Biomedical Science, Graduate School of Medicine, Korea University, Seoul, Korea.
Seok Jin KimDepartment of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Byung Soo KimDepartment of Internal Medicine, Korea University College of Medicine, Anam Hospital, 73, Inchon-ro, Seongbuk-gu, Seoul, 02841, Korea. kbs0309@korea.ac.kr.
Korea University · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PD-L1 expression is associated with poor prognosis, although this relationship is unclear in bone marrow-derived haematologic malignancies, including multiple myeloma. We aimed to determine whether PD-L1 expression could predict the prognosis of newly diagnosed multiple myeloma (NDMM). We evaluated 126 NDMM patients (83, retrospectively; 43, prospectively) who underwent bone marrow examinations. Bone marrow aspirates were analysed for PD-L1 expression, categorized as low or high expression, using quantitative immunofluorescence. High PD-L1 expression could independently predict poor overall survival (OS) (95% CI = 1.692-8.346) in multivariate analysis. On subgroup analysis, high PD-L1 expression was associated with poor OS (95% CI = 2.283-8.761) and progression-free survival (95% CI = 1.024-3.484) in patients who did not undergo autologous stem cell transplantation (ASCT) compared with those who did. High PD-L1 expression was associated with poor OS despite frontline treatments with or without immunomodulators. Thus, PD-L1 expression can be a useful prognosis predictor in NDMM patients, whereas ASCT may be used in patients with high PD-L1 expression. We developed a prognostic nomogram and found that a combination of PD-L1 expression in bone marrow plasma cells and clinical parameters (age, cytogenetics, and lactate dehydrogenase) effectively predicted NDMM prognosis. We believe that our nomogram can help identify high-risk patients and select appropriate treatments.

Indexed as

Models, StatisticalNomogramsAgedB7-H1 AntigenBiomarkers, TumorBone MarrowFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansMaleMiddle AgedMultiple MyelomaPlasma CellsPrognosisProspective StudiesB7-H1 AntigenBiomarkers, TumorCD274 protein, human

Identifiers

PMID32724129
PMCPMC7387472
OpenAlexW3045623523

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.