Evidence map›Paper›PMID 39021902›Full record

ReviewHeliyon2024

Pathways to therapy resistance: The sheltering effect of the bone marrow microenvironment to multiple myeloma cells.

Kuntal Bhowmick, Max von Suskil, Omar S Al-Odat, Weam Othman Elbezanti, Subash C Jonnalagadda, Tulin Budak-Alpdogan, Manoj K Pandey

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. 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

7 authors.

Kuntal BhowmickDepartment of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ, USA.
Max von SuskilDepartment of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ, USA.
Omar S Al-OdatDepartment of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ, USA.
Weam Othman ElbezantiDepartment of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ, USA.
Subash C JonnalagaddaDepartment of Chemistry and Biochemistry, College of Science and Mathematics, Rowan University, Glassboro, NJ, USA.
Tulin Budak-AlpdoganDepartment of Hematology, MD Anderson Cancer Center at Cooper, Cooper University Health Care, Camden, NJ, USA.
Manoj K PandeyDepartment of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple Myeloma (MM) is a malignant expansion of plasma cells in the bone marrow (BM), resulting in a disease characterized by symptoms of end organ damage from light chain secretion, crowding of the BM, and bone lesions. Although the past two decades have been characterized by numerous novel therapies emerging, the disease remains incurable due to intrinsic or acquired drug resistance. A major player in MM's drug resistance arises from its intimate relationship with the BM microenvironment (BMME). Through stress-inducing conditions, soluble messengers, and physical adhesion to BM elements, the BMME activates numerous pathways in the myeloma cell. This not only propagates myeloma progression through survival and growth signals, but also specific mechanisms to circumvent therapeutic actions. In this review, we provide an overview of the BMME, the role of individual components in MM survival, and various therapy-specific resistance mechanisms reported in the literature.

Identifiers

PMID39021902
PMCPMC11252793

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.