Evidence map›Paper›PMID 31245191›Full record

ArticleCureus2019

Prognostic Significance of the Dynamic Change of Programmed Death-ligand 1 Expression in Patients with Multiple Myeloma.

Jian Guan, Renching Wang, Syed Hasan, Luwei Tao, Mohammed Wazir, Akriti G Jain, Xiang Zhu, Sherrie Perkins, Salama Mohamed, Chung-Che Chang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. NK Cells in Chronic Lymphocytic Leukemia and Their Therapeutic Implications.International journal of molecular sciences · 2021
    Review
  4. Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Article
  5. Immunological Prognostic Factors in Multiple Myeloma.International journal of molecular sciences · 2021
    Review
  6. 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

11 authors at 5 institutions in 2 countries.

Jian GuanInternal Medicine, Florida Hospital, Orlando, USA.
Renching WangPathology, Taichung Veteran General Hospital, Taichung, TWN.
Syed HasanInternal Medicine, Florida Hospital, Orlando, USA.
Luwei TaoInternal Medicine, Florida Hospital, Orlando, USA.
Mohammed WazirInternal Medicine, Florida Hospital, Orlando, USA.
Akriti G JainInternal Medicine, Florida Hospital, Orlando, USA.
Xiang ZhuMiscellaneous, Florida Hospital, Orlando, USA.
Sherrie PerkinsPathology, University of Utah, Salt Lake City, USA.
Salama MohamedPathology, Mayo Clinic, Rochester, USA.
Chung-Che ChangPathology, Florida Hospital, Orlando, USA.
Shahram MoriOncology, Florida Hospital, Orlando, USA.
Mayo Clinic · USMayo Clinic in Florida · USTaichung Veterans General Hospital · TWUniversity of Utah · USMayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The inhibition of programmed cell death protein 1/programmed death-ligand 1 (PD-1/PD-L1) signaling pathway has been shown to be an effective targeted therapy in fighting both solid organ cancers and hematological malignancies. PD-L1 expression also serves as a prognostic marker in various cancers. However, the expression of PD-L1 and its prognostic significance in multiple myeloma remains largely unknown. Methods Immunohistochemistry staining of PD-L1 was performed in bone marrow biopsy samples (total of 85 samples) in 32 myeloma patients receiving autologous stem cell transplant (ASCT) at various time points: before ASCT, post-ASCT, and/or at relapse after ASCT. More than 1% of myeloma cells with PD-L1 staining was considered a positive expression of PD-L1. A correlation analysis was performed between post-ASCT overall survival (OS) and the status of PD-L1 expression. Results In this pilot study, a total of 11 patients (34%) out of our cohort (32 patients) were positive for PD-L1 expression at least once during the course of the disease. A dynamic change of PD-L1 expression was noted in three patients converting from negative (before ASCT) to positive (post-ASCT) and two patients converting from positive (before ASCT) to negative (post-ASCT). Patients with positive PD-L1 expression persisting or occurring post-ASCT had shorter post-ASCT overall survival than those with negative PD-L1 expression post-ASCT (median survival: 13 vs 23 months, p<0.05). No significant differences were detected in the known prognostic factors between these two groups at the time of ASCT. Pre-transplant PD-L1 expression status, however, showed no significant impact on post-ASCT overall survival. Furthermore, a few patients switching from positive PD-L1 expression before ASCT to negative PD-L1 expression post-ASCT had a relatively good post-ASCT overall survival (n=2, overall survival of 29 and 56 months, respectively). Conclusion Immunohistochemistry can be reliably used for measuring PD-L1 expression in decalcified marrow core biopsy materials. Our results suggest that positive PD-L1 expression persisting/occurring post-ASCT could be an adverse prognostic marker for post-ASCT OS. Additionally, PD-L1 expression appears to be dynamic and is subjected to change after ASCT. Our findings suggest that periodically monitoring PD-L1 expression in patients with multiple myeloma post-ASCT is warranted. Further studies are needed to confirm our initial observation and to evaluate if timely intervention with PD-L1 blockade can improve post-ASCT outcomes in myeloma patients.

Indexed as

dynamic changeimmunotherapymultiple myelomaprognosis

Identifiers

PMID31245191
PMCPMC6559697
OpenAlexW2932330936

What OpenQuestion holds

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LicenceCC BY
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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.