Evidence map›Paper›PMID 33520703›Full record

ReviewFrontiers in oncology2020

Metabolic Reprogramming Induces Immune Cell Dysfunction in the Tumor Microenvironment of Multiple Myeloma.

Shaojie Wu, Huixian Kuang, Jin Ke, Manfei Pi, Dong-Hua Yang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

32 citing papers in PubMed, 38 citations in OpenAlex.

  1. Bone marrow SUVmax onImmunologic research · 2026
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  16. Lipid metabolic vulnerabilities of multiple myeloma.Clinical and experimental medicine · 2023
    Review
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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

5 authors at 3 institutions in 2 countries.

Shaojie WuDepartment of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Huixian KuangDepartment of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Jin KeGuangdong Key Laboratory of Orthopaedic Technology and Implant Materials, Medical Center of Assessment of Bone & Joint Diseases, Orthopaedic Hospital, General Hospital of Southern Theater Command, Guangzhou, China.
Manfei PiDepartment of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Dong-Hua YangCollege of Pharmacy and Health Sciences, St. John's University, New York, NY, United States.
Southern Medical University · CNSt. John's University · USZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor cells rewire metabolism to meet their increased nutritional demands, allowing the maintenance of tumor survival, proliferation, and expansion. Enhancement of glycolysis and glutaminolysis is identified in most, if not all cancers, including multiple myeloma (MM), which interacts with a hypoxic, acidic, and nutritionally deficient tumor microenvironment (TME). In this review, we discuss the metabolic changes including generation, depletion or accumulation of metabolites and signaling pathways, as well as their relationship with the TME in MM cells. Moreover, we describe the crosstalk among metabolism, TME, and changing function of immune cells during cancer progression. The overlapping metabolic phenotype between MM and immune cells is discussed. In this sense, targeting metabolism of MM cells is a promising therapeutic approach. We propose that it is important to define the metabolic signatures that may regulate the function of immune cells in TME in order to improve the response to immunotherapy.

Indexed as

immune cell dysfunctionmetabolic reprogrammingmultiple myelomasignaling pathwaystumor microenvironment

Identifiers

PMID33520703
PMCPMC7845572
OpenAlexW3119701462

What Socratic 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 Socratic graph.