Evidence map›Paper›PMID 35958625›Full record

ReviewFrontiers in immunology2022

The yin-yang effects of immunity: From monoclonal gammopathy of undetermined significance to multiple myeloma.

Zhigang Yi, Tao Ma, Jia Liu, Wenting Tie, Yanhong Li, Jun Bai, Lijuan Li, Liansheng Zhang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Zhigang YiDepartment of Hematology, Lanzhou University Second Hospital, Lanzhou, China.
Tao MaDepartment of Hematology, Lanzhou University Second Hospital, Lanzhou, China.
Jia LiuDepartment of Hematology, Lanzhou University Second Hospital, Lanzhou, China.
Wenting TieDepartment of Hematology, Lanzhou University Second Hospital, Lanzhou, China.
Yanhong LiDepartment of Hematology, Lanzhou University Second Hospital, Lanzhou, China.
Jun BaiDepartment of Hematology, Lanzhou University Second Hospital, Lanzhou, China.
Lijuan LiDepartment of Hematology, Lanzhou University Second Hospital, Lanzhou, China.
Liansheng ZhangDepartment of Hematology, Lanzhou University Second Hospital, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is the third most common malignant neoplasm of the hematological system. It often develops from monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) precursor states. In this process, the immune microenvironment interacts with the MM cells to exert yin and yang effects, promoting tumor progression on the one hand and inhibiting it on the other. Despite significant therapeutic advances, MM remains incurable, and the main reason for this may be related to the complex and variable immune microenvironment. Therefore, it is crucial to investigate the dynamic relationship between the immune microenvironment and tumors, to elucidate the molecular mechanisms of different factors in the microenvironment, and to develop novel therapeutic agents targeting the immune microenvironment of MM. In this paper, we review the latest research progress and describe the dual influences of the immune microenvironment on the development and progression of MM from the perspective of immune cells and molecules.

Indexed as

Monoclonal Gammopathy of Undetermined SignificanceMultiple MyelomaSmoldering Multiple MyelomaHumansTumor MicroenvironmentYin-Yangimmune cellsimmune microenvironmentimmune moleculesmultiple myelomayin–yang

Identifiers

PMID35958625
PMCPMC9357873

What OpenQuestion holds

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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.