Difference between revisions of "HAEM5:Plasma cell myeloma / multiple myeloma"

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{{DISPLAYTITLE:Plasma cell myeloma / multiple myeloma}}
 
{{DISPLAYTITLE:Plasma cell myeloma / multiple myeloma}}
[[HAEM5:Table_of_Contents|Haematolymphoid Tumours (5th ed.)]]
+
[[HAEM5:Table_of_Contents|Haematolymphoid Tumours (WHO Classification, 5th ed.)]]
  
 
{{Under Construction}}
 
{{Under Construction}}
  
<blockquote class='blockedit'>{{Box-round|title=HAEM5 Conversion Notes|This page was converted to the new template on 2023-11-30. The original page can be found at [[HAEM4:Plasma Cell Myeloma]].
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<blockquote class='blockedit'>{{Box-round|title=Content Update To WHO 5th Edition Classification Is In Process; Content Below is Based on WHO 4th Edition Classification|This page was converted to the new template on 2023-12-07. The original page can be found at [[HAEM4:Plasma Cell Myeloma]].
Other relevent pages include: [[Plasma Cell Myeloma Variants]]
+
Other relevent pages include: [[HAEM4:Plasma Cell Myeloma Variants]]
  
 
Note: author needs to include Plasma_Cell_Myeloma_Variants content in this page
 
Note: author needs to include Plasma_Cell_Myeloma_Variants content in this page
 
}}</blockquote>
 
}}</blockquote>
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 +
<span style="color:#0070C0">(General Instructions – The main focus of these pages is the clinically significant genetic alterations in each disease type. Use [https://www.genenames.org/ <u>HUGO-approved gene names and symbols</u>] (italicized when appropriate), [https://varnomen.hgvs.org/ HGVS-based nomenclature for variants], as well as generic names of drugs and testing platforms or assays if applicable. Please complete tables whenever possible and do not delete them (add N/A if not applicable in the table and delete the examples); to add (or move) a row or column to a table, click within the table and select the > symbol that appears to be given options. Please do not delete or alter the section headings. The use of bullet points alongside short blocks of text rather than only large paragraphs is encouraged. Additional instructions below in italicized blue text should not be included in the final page content. Please also see </span><u>[[Author_Instructions]]</u><span style="color:#0070C0"> and [[Frequently Asked Questions (FAQs)|<u>FAQs</u>]] as well as contact your [[Leadership|<u>Associate Editor</u>]] or [mailto:CCGA@cancergenomics.org <u>Technical Support</u>])</span>
 +
 
==Primary Author(s)*==
 
==Primary Author(s)*==
  
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__TOC__
 
__TOC__
  
==Cancer Category / Type==
+
==WHO Classification of Disease==
  
*[[Mature B Cell Neoplasm]] <ref name=":0">McKenna RW, et al., (2017). Plasma cell neoplasms, in World Health Organization Classification of Tumours of Haematopoietic and Lymphoid Tissues, Revised 4th edition. Swerdlow SH, Campo E, Harris NL, Jaffe ES, Pileri SA, Stein H, Thiele J, Arber DA, Hasserjian RP, Le Beau MM, Orazi A, and Siebert R, Editors. IARC Press: Lyon, France, p241-259.</ref>
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{| class="wikitable"
 
+
!Structure
==Cancer Sub-Classification / Subtype==
+
!Disease
 
+
|-
*Plasma cell neoplasms (PCNs) <ref name=":0" />
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|Book
 +
|Haematolymphoid Tumours (5th ed.)
 +
|-
 +
|Category
 +
|B-cell lymphoid proliferations and lymphomas
 +
|-
 +
|Family
 +
|Plasma cell neoplasms and other diseases with paraproteins
 +
|-
 +
|Type
 +
|Plasma cell neoplasms
 +
|-
 +
|Subtype(s)
 +
|Plasma cell myeloma / multiple myeloma
 +
|}
  
 
==Definition / Description of Disease==
 
==Definition / Description of Disease==
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==Clinical Features==
 
==Clinical Features==
  
Put your text here and fill in the table <span style="color:#0070C0">(''Instruction: Can include references in the table'') </span>
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Put your text here and fill in the table <span style="color:#0070C0">(''Instruction: Can include references in the table. Do not delete table.'') </span>
 
{| class="wikitable"
 
{| class="wikitable"
 
|'''Signs and Symptoms'''
 
|'''Signs and Symptoms'''
|EXAMPLE Asymptomatic (incidental finding on complete blood counts)
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|<span class="blue-text">EXAMPLE:</span> Asymptomatic (incidental finding on complete blood counts)
  
EXAMPLE B-symptoms (weight loss, fever, night sweats)
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<span class="blue-text">EXAMPLE:</span> B-symptoms (weight loss, fever, night sweats)
  
EXAMPLE Fatigue
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<span class="blue-text">EXAMPLE:</span> Fatigue
  
EXAMPLE Lymphadenopathy (uncommon)
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<span class="blue-text">EXAMPLE:</span> Lymphadenopathy (uncommon)
 
|-
 
|-
 
|'''Laboratory Findings'''
 
|'''Laboratory Findings'''
|EXAMPLE Cytopenias
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|<span class="blue-text">EXAMPLE:</span> Cytopenias
  
EXAMPLE Lymphocytosis (low level)
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<span class="blue-text">EXAMPLE:</span> Lymphocytosis (low level)
 
|}
 
|}
  
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==Immunophenotype==
 
==Immunophenotype==
  
Put your text here and fill in the table <span style="color:#0070C0">(''Instruction: Can include references in the table'') </span>
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Put your text here and fill in the table <span style="color:#0070C0">(''Instruction: Can include references in the table. Do not delete table.'') </span>
  
 
{| class="wikitable sortable"
 
{| class="wikitable sortable"
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!Finding!!Marker
 
!Finding!!Marker
 
|-
 
|-
|Positive (universal)||EXAMPLE CD1
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|Positive (universal)||<span class="blue-text">EXAMPLE:</span> CD1
 
|-
 
|-
|Positive (subset)||EXAMPLE CD2
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|Positive (subset)||<span class="blue-text">EXAMPLE:</span> CD2
 
|-
 
|-
|Negative (universal)||EXAMPLE CD3
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|Negative (universal)||<span class="blue-text">EXAMPLE:</span> CD3
 
|-
 
|-
|Negative (subset)||EXAMPLE CD4
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|Negative (subset)||<span class="blue-text">EXAMPLE:</span> CD4
 
|}
 
|}
  
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!Notes
 
!Notes
 
|-
 
|-
|EXAMPLE t(9;22)(q34;q11.2)||EXAMPLE 3'ABL1 / 5'BCR||EXAMPLE der(22)||EXAMPLE 20% (COSMIC)
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|<span class="blue-text">EXAMPLE:</span> t(9;22)(q34;q11.2)||<span class="blue-text">EXAMPLE:</span> 3'ABL1 / 5'BCR||<span class="blue-text">EXAMPLE:</span> der(22)||<span class="blue-text">EXAMPLE:</span> 20% (COSMIC)
EXAMPLE 30% (add reference)
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<span class="blue-text">EXAMPLE:</span> 30% (add reference)
 
|Yes
 
|Yes
 
|No
 
|No
 
|Yes
 
|Yes
|EXAMPLE
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|<span class="blue-text">EXAMPLE:</span>
  
 
The t(9;22) is diagnostic of CML in the appropriate morphology and clinical context (add reference). This fusion is responsive to targeted therapy such as Imatinib (Gleevec) (add reference).
 
The t(9;22) is diagnostic of CML in the appropriate morphology and clinical context (add reference). This fusion is responsive to targeted therapy such as Imatinib (Gleevec) (add reference).
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==Individual Region Genomic Gain / Loss / LOH==
 
==Individual Region Genomic Gain / Loss / LOH==
  
Put your text here and fill in the table <span style="color:#0070C0">(''Instructions: Includes aberrations not involving gene fusions. Can include references in the table. Can refer to CGC workgroup tables as linked on the homepage if applicable.'') </span>
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Put your text here and fill in the table <span style="color:#0070C0">(''Instructions: Includes aberrations not involving gene fusions. Can include references in the table. Can refer to CGC workgroup tables as linked on the homepage if applicable. Do not delete table.'') </span>
  
 
{| class="wikitable sortable"
 
{| class="wikitable sortable"
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!Notes
 
!Notes
 
|-
 
|-
|EXAMPLE
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|<span class="blue-text">EXAMPLE:</span>
  
 
7
 
7
|EXAMPLE Loss
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|<span class="blue-text">EXAMPLE:</span> Loss
|EXAMPLE
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|<span class="blue-text">EXAMPLE:</span>
  
 
chr7:1- 159,335,973 [hg38]
 
chr7:1- 159,335,973 [hg38]
|EXAMPLE
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|<span class="blue-text">EXAMPLE:</span>
  
 
chr7
 
chr7
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|Yes
 
|Yes
 
|No
 
|No
|EXAMPLE
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|<span class="blue-text">EXAMPLE:</span>
  
 
Presence of monosomy 7 (or 7q deletion) is sufficient for a diagnosis of AML with MDS-related changes when there is ≥20% blasts and no prior therapy (add reference).  Monosomy 7/7q deletion is associated with a poor prognosis in AML (add reference).
 
Presence of monosomy 7 (or 7q deletion) is sufficient for a diagnosis of AML with MDS-related changes when there is ≥20% blasts and no prior therapy (add reference).  Monosomy 7/7q deletion is associated with a poor prognosis in AML (add reference).
 
|-
 
|-
|EXAMPLE
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|<span class="blue-text">EXAMPLE:</span>
  
 
8
 
8
|EXAMPLE Gain
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|<span class="blue-text">EXAMPLE:</span> Gain
|EXAMPLE
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|<span class="blue-text">EXAMPLE:</span>
  
 
chr8:1-145,138,636 [hg38]
 
chr8:1-145,138,636 [hg38]
|EXAMPLE
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|<span class="blue-text">EXAMPLE:</span>
  
 
chr8
 
chr8
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|No
 
|No
 
|No
 
|No
|EXAMPLE
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|<span class="blue-text">EXAMPLE:</span>
  
 
Common recurrent secondary finding for t(8;21) (add reference).
 
Common recurrent secondary finding for t(8;21) (add reference).
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==Characteristic Chromosomal Patterns==
 
==Characteristic Chromosomal Patterns==
  
Put your text here <span style="color:#0070C0">(''EXAMPLE PATTERNS: hyperdiploid; gain of odd number chromosomes including typically chromosome 1, 3, 5, 7, 11, and 17; co-deletion of 1p and 19q; complex karyotypes without characteristic genetic findings; chromothripsis'')</span>
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Put your text here <span style="color:#0070C0">(''EXAMPLE PATTERNS: hyperdiploid; gain of odd number chromosomes including typically chromosome 1, 3, 5, 7, 11, and 17; co-deletion of 1p and 19q; complex karyotypes without characteristic genetic findings; chromothripsis. Do not delete table.'')</span>
  
 
{| class="wikitable sortable"
 
{| class="wikitable sortable"
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!Notes
 
!Notes
 
|-
 
|-
|EXAMPLE
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|<span class="blue-text">EXAMPLE:</span>
  
 
Co-deletion of 1p and 18q
 
Co-deletion of 1p and 18q
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|No
 
|No
 
|No
 
|No
|EXAMPLE:
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|<span class="blue-text">EXAMPLE:</span>
  
 
See chromosomal rearrangements table as this pattern is due to an unbalanced derivative translocation associated with oligodendroglioma (add reference).
 
See chromosomal rearrangements table as this pattern is due to an unbalanced derivative translocation associated with oligodendroglioma (add reference).
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==Gene Mutations (SNV / INDEL)==
 
==Gene Mutations (SNV / INDEL)==
  
Put your text here and fill in the table <span style="color:#0070C0">(''Instructions: This table is not meant to be an exhaustive list; please include only genes/alterations that are recurrent and common as well either disease defining and/or clinically significant. Can include references in the table. For clinical significance, denote associations with FDA-approved therapy (not an extensive list of applicable drugs) and NCCN or other national guidelines if applicable; Can also refer to CGC workgroup tables as linked on the homepage if applicable as well as any high impact papers or reviews of gene mutations in this entity.'') </span>
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Put your text here and fill in the table <span style="color:#0070C0">(''Instructions: This table is not meant to be an exhaustive list; please include only genes/alterations that are recurrent and common as well as either disease defining and/or clinically significant. Can include references in the table. For clinical significance, denote associations with FDA-approved therapy (not an extensive list of applicable drugs) and NCCN or other national guidelines if applicable. Can also refer to CGC workgroup tables as linked on the homepage if applicable as well as any high impact papers or reviews of gene mutations in this entity. Do not delete table.'') </span>
  
 
{| class="wikitable sortable"
 
{| class="wikitable sortable"
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!Notes
 
!Notes
 
|-
 
|-
|EXAMPLE: TP53; Variable LOF mutations
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|<span class="blue-text">EXAMPLE:</span> TP53; Variable LOF mutations
  
EXAMPLE:
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<span class="blue-text">EXAMPLE:</span>
  
 
EGFR; Exon 20 mutations
 
EGFR; Exon 20 mutations
  
EXAMPLE: BRAF; Activating mutations
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<span class="blue-text">EXAMPLE:</span> BRAF; Activating mutations
|EXAMPLE: TSG
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|<span class="blue-text">EXAMPLE:</span> TSG
|EXAMPLE: 20% (COSMIC)
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|<span class="blue-text">EXAMPLE:</span> 20% (COSMIC)
  
EXAMPLE: 30% (add Reference)
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<span class="blue-text">EXAMPLE:</span> 30% (add Reference)
|EXAMPLE: IDH1 R123H
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|<span class="blue-text">EXAMPLE:</span> IDH1 R123H
|EXAMPLE: EGFR amplification
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|<span class="blue-text">EXAMPLE:</span> EGFR amplification
 
|
 
|
 
|
 
|
 
|
 
|
|EXAMPLE:  Excludes hairy cell leukemia (HCL) (add reference).
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|<span class="blue-text">EXAMPLE:</span>  Excludes hairy cell leukemia (HCL) (add reference).
 
<br />
 
<br />
 
|}
 
|}
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==Genes and Main Pathways Involved==
 
==Genes and Main Pathways Involved==
  
Put your text here and fill in the table <span style="color:#0070C0">(''Instructions: Can include references in the table.'')</span>
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Put your text here and fill in the table <span style="color:#0070C0">(''Instructions: Can include references in the table. Do not delete table.'')</span>
 
{| class="wikitable sortable"
 
{| class="wikitable sortable"
 
|-
 
|-
 
!Gene; Genetic Alteration!!Pathway!!Pathophysiologic Outcome
 
!Gene; Genetic Alteration!!Pathway!!Pathophysiologic Outcome
 
|-
 
|-
|EXAMPLE: BRAF and MAP2K1; Activating mutations
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|<span class="blue-text">EXAMPLE:</span> BRAF and MAP2K1; Activating mutations
|EXAMPLE: MAPK signaling
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|<span class="blue-text">EXAMPLE:</span> MAPK signaling
|EXAMPLE: Increased cell growth and proliferation
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|<span class="blue-text">EXAMPLE:</span> Increased cell growth and proliferation
 
|-
 
|-
|EXAMPLE: CDKN2A; Inactivating mutations
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|<span class="blue-text">EXAMPLE:</span> CDKN2A; Inactivating mutations
|EXAMPLE: Cell cycle regulation
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|<span class="blue-text">EXAMPLE:</span> Cell cycle regulation
|EXAMPLE: Unregulated cell division
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|<span class="blue-text">EXAMPLE:</span> Unregulated cell division
 
|-
 
|-
|EXAMPLE:  KMT2C and ARID1A; Inactivating mutations
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|<span class="blue-text">EXAMPLE:</span>  KMT2C and ARID1A; Inactivating mutations
|EXAMPLE:  Histone modification, chromatin remodeling
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|<span class="blue-text">EXAMPLE:</span>  Histone modification, chromatin remodeling
|EXAMPLE:  Abnormal gene expression program
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|<span class="blue-text">EXAMPLE:</span>  Abnormal gene expression program
 
|}
 
|}
  

Latest revision as of 17:34, 6 September 2024

Haematolymphoid Tumours (WHO Classification, 5th ed.)

editContent Update To WHO 5th Edition Classification Is In Process; Content Below is Based on WHO 4th Edition Classification
This page was converted to the new template on 2023-12-07. The original page can be found at HAEM4:Plasma Cell Myeloma.

Other relevent pages include: HAEM4:Plasma Cell Myeloma Variants

Note: author needs to include Plasma_Cell_Myeloma_Variants content in this page

(General Instructions – The main focus of these pages is the clinically significant genetic alterations in each disease type. Use HUGO-approved gene names and symbols (italicized when appropriate), HGVS-based nomenclature for variants, as well as generic names of drugs and testing platforms or assays if applicable. Please complete tables whenever possible and do not delete them (add N/A if not applicable in the table and delete the examples); to add (or move) a row or column to a table, click within the table and select the > symbol that appears to be given options. Please do not delete or alter the section headings. The use of bullet points alongside short blocks of text rather than only large paragraphs is encouraged. Additional instructions below in italicized blue text should not be included in the final page content. Please also see Author_Instructions and FAQs as well as contact your Associate Editor or Technical Support)

Primary Author(s)*

  • Huan Mo, MD, MS
  • Zhenya Tang, MD, PhD

The University Of Texas MD Anderson Cancer Center, Department of Hematopathology, Houston, Texas

WHO Classification of Disease

Structure Disease
Book Haematolymphoid Tumours (5th ed.)
Category B-cell lymphoid proliferations and lymphomas
Family Plasma cell neoplasms and other diseases with paraproteins
Type Plasma cell neoplasms
Subtype(s) Plasma cell myeloma / multiple myeloma

Definition / Description of Disease

  • A type of hematologic malignancy of monoclonal plasma cell
  • Originated from bone marrow but affecting multiple tissues and organs
  • Hallmarks: presence of M protein, neoplastic plasma (myeloma) cells and sign(s) of end-organ damages (CRAB:  hypercalcemia, renal insufficiency, anemia and bone lesions)


editUnassigned References
The following referenees were placed in the header. Please place them into the appropriate locations in the text.

[1][2][3]

Synonyms / Terminology

  • Multiple myeloma
  • Medullary plasmacytoma
  • Myelomatosis
  • Myeloma, NOS
  • Kahler disease (no longer used)

Epidemiology / Prevalence

  • Plasma cell myeloma accounts for approximately 1% of all types of malignant tumors, 10-15% of all hematologic malignancies
  • It is the third most common hematologic malignancies, next to lymphoma and leukemia
  • Incidence: 4 per 100,000 individuals per year
  • It’s estimated that 34,920 adults (19,320 men and 15,600 women) will be newly diagnosed with plasma cell myeloma and 12,410 patients (6,840 men and 5,570 women) will die from this disease in the United States in 2021.
  • It affects mostly adults with an age > 50 years (median age at diagnosis: 70 years). Young adults (<30 years) are infrequently and children (<16 years) are almost never affected by this disease.
  • Male : Female ratio: 1.1 : 1
  • Black : white ratio: 2 : 1
  • Current 5-year relative survival rate:  54%


editUnassigned References
The following referenees were placed in the header. Please place them into the appropriate locations in the text.

[4][5]

Clinical Features

Put your text here and fill in the table (Instruction: Can include references in the table. Do not delete table.)

Signs and Symptoms EXAMPLE: Asymptomatic (incidental finding on complete blood counts)

EXAMPLE: B-symptoms (weight loss, fever, night sweats)

EXAMPLE: Fatigue

EXAMPLE: Lymphadenopathy (uncommon)

Laboratory Findings EXAMPLE: Cytopenias

EXAMPLE: Lymphocytosis (low level)


editv4:Clinical Features
The content below was from the old template. Please incorporate above.


  • A wide spectrum of clinical presentations: from asymptomatic (e.g., smoldering plasma cell myeloma) to highly aggressive with end-organ damages (e.g., one of more of CRAB presentations)
  • Bone pain can be the initial presentation in many cases
  • Pale appearance due to anemia and sometimes bleeding
  • Spinal cord compression due to vertebrae damages
  • Peripheral neuropathy
  • Infections due to compromised immunity can occur
  • Organomegaly
  • Skin lesions


editUnassigned References
The following referenees were placed in the header. Please place them into the appropriate locations in the text.

[1][6][7]

Sites of Involvement

  • Bone marrow, multifocal or generalized
  • Involvement of other organs and / or circulating plasma cells [8] may be secondarily but usually an indication of advanced disease (Is it ok? ~HM)
  • Extramedullary sites: bones, kidney, upper airway, skin and so on. (Extramedullary plasmacytoma is a different disease and it is closer to marginal zone lymphoma ~ HM)


editUnassigned References
The following referenees were placed in the header. Please place them into the appropriate locations in the text.

[1][6][7]

Morphologic Features

Radiology findings: [9]

  • Osteolytic lesions are detected in approximately 70% of plasma cell myeloma cases on radiology skeletal survey, MRI and PET/CT. Other presentation such as osteoporosis, pathological bone fracture, and vertebral compression fracture can be observed as well. Vertebrae, ribs, skull, shoulders, pelvis and long bones are the sites frequently affected with bone lesion(s).

Macroscopy findings: [3]

  • During gross examination of severely affected bones, apparent defects filled with flesh-like hemorrhagic tissues can be observed.

Microscopy findings: [2][3][10]

  • Plasma cells in plasma cell myeloma can show mature and immature (or plasmablastic) forms. [11]
  • The mature plasma cells usually have eccentric nuclei, dense "clock face" chromatin, and abundant, deep basophilic (on Wright Giemsa stained marrow or cytological preparations) or amphophilic (on hematoxylin and eosin-stained histological sections) cytoplasm with a paranuclear hof.
  • Histologically, the monotypic plasma cells may present as interstitial, scattered distribution, in a form of small clusters and/or focal nodules. In advanced disease stages, the neoplastic plasma cells proliferate as diffuse sheets and replace normal bone marrow. [1]


Here I kept more detailed morphology descriptions ~HM


Differential diagnosis considerations may include:

  • Lymphoplasmacytic lymphoma (LPL, related to Waldenstrom macroglobulinemia, WM) and splenic/nodal marginal zone lymphoma can have extensive monotypic plasmacytic differentiation.
  • Mantle cell lymphoma (MCL) and a subset of plasma cell myeloma can share expressions of Cyclin D1 (CCND1) due to t(11;14)(q13;q32)(IGH/CCND1) translocation.
  • In the setting of plasmablastic morphology, differential diagnosis includes: anaplastic plasma cell myeloma, plasmablastic lymphoma, primary effusion lymphoma (PEL), ALK-positive large B-cell lymphoma, immunoblastic diffuse large B-cell lymphoma, and HHV8-positive diffuse large B-cell lymphoma NOS. [12]
  • Non-hematopoietic neoplasms with plasmacytoid morphology can also mimic plasma cell myeloma, such as plasmacytoid myoepithelioma of minor salivary glands [13], medullary thyroid carcinoma (or other neuroendocrine tumors) [14], and melanoma. It is important to keep in mind that CD138 is positive in many normal and neoplastic epithelial cells.

Immunophenotype

Put your text here and fill in the table (Instruction: Can include references in the table. Do not delete table.)

Finding Marker
Positive (universal) EXAMPLE: CD1
Positive (subset) EXAMPLE: CD2
Negative (universal) EXAMPLE: CD3
Negative (subset) EXAMPLE: CD4


editv4:Immunophenotype
The content below was from the old template. Please incorporate above.


  • Plasma cell identification: For flow cytometry immunophenotyping, benign and neoplastic plasma cells can be identified with combined use of CD38 and CD138. [15] However, since anti-CD38 monoclonal antibodies (such as daratumumab) are used in myeloma therapy regimens, [16] the expression of CD38 on the residual myeloma cells can be decreased or negative on the marrow cells. It should be noted that plasma cells lose surface CD138 overtime after specimen procurement (such as from bone marrow aspirates); [17][18] therefore, delayed specimen processing will cause underestimated plasma cell percentage in flow cytometry immunophenotyping and lower yield in CD138 enrichment of plasma cell for cytogenetic studies. For immunohistochemical studies on Formalin-Fixed Paraffin-Embedded (FFPE) tissue sections, CD138 and MUM-1/IRF4 can be used to identify plasma cells.
  • Myeloma plasma cells: Unlike non-neoplastic plasma cells or plasma cells differentiated from lymphomas (especially marginal zone lymphoma and lymphoplasmacytic lymphoma), myeloma plasma cells often show aberrant loss of CD19 and CD45; they may also aberrantly express CD56, CD117, and/or Cyclin D1, which is associated with IGH/CCND1 translocation. For common aberrant immunophenotype patterns for myeloma cells, please see Flores-Montero et al. [19] The aberrancy of immunophenotypes of myeloma plasma cells can be used for minimal/measurable residual disease (MRD) detection in myeloma. [20][21][22]
  • Monoclonality: confirmed by immunoglobulin (Ig) light chain analysis, presenting as monotypic cytoplasmic immunoglobulin (cIg) expression but lack surface immunoglobulin (sIg). [17] On FFPE tissue sections, immunoglobulin light chain analysis on plasma cells can be assessed either by immunohistochemical stains or by chromogenic in situ hybridization (CISH).


Chromosomal Rearrangements (Gene Fusions)

Put your text here and fill in the table

Chromosomal Rearrangement Genes in Fusion (5’ or 3’ Segments) Pathogenic Derivative Prevalence Diagnostic Significance (Yes, No or Unknown) Prognostic Significance (Yes, No or Unknown) Therapeutic Significance (Yes, No or Unknown) Notes
EXAMPLE: t(9;22)(q34;q11.2) EXAMPLE: 3'ABL1 / 5'BCR EXAMPLE: der(22) EXAMPLE: 20% (COSMIC)

EXAMPLE: 30% (add reference)

Yes No Yes EXAMPLE:

The t(9;22) is diagnostic of CML in the appropriate morphology and clinical context (add reference). This fusion is responsive to targeted therapy such as Imatinib (Gleevec) (add reference).


editv4:Clinical Significance (Diagnosis, Prognosis and Therapeutic Implications).
Please incorporate this section into the relevant tables found in:
  • Chromosomal Rearrangements (Gene Fusions)
  • Individual Region Genomic Gain/Loss/LOH
  • Characteristic Chromosomal Patterns
  • Gene Mutations (SNV/INDEL)


Risk stratification of cytogenetic aberrations in plasma cell myeloma.

Table 4: Cytogenetic abnormalities on clinical course and prognosis in multiple myeloma (adapted from Rajan and Rajkumar 2015) [23][24]
Cytogenetic abnormality Smoldering plasma cell myeloma Plasma cell myeloma ***
Trisomies Intermediate risk of progression

Median TTP of 3 years

Standard-risk, median OS 7-10 years

Most have myeloma bone disease at diagnosis

Excellent response to lenalidomide-based therapy

t(11;14)(q13;q32) Standard risk of progression

Median TTP of 5 years

Standard-risk, median OS 7-10 years. See below.
t(6;14)(p21;q32) Standard risk of progression

Median TTP of 5 years

Standard-risk, median OS 7-10 years
t(4;14)(p16;q32) High risk of progression

Median TTP of 2 years

Intermediate-risk (mSMART) or high-risk (IMWG), median OS 5 years

Needs bortezomib-based initial therapy,

early ASCT (if eligible), followed by bortezomib-based

consolidation/maintenance

t(14;16)(q32;q23) Standard risk of progression

Median TTP of 5 years

High-risk, median OS 3 years

Associated with high levels of FLC and

25% present with acute renal failure as initial MDE

t(14;20)(q32;q11) Standard risk of progression

Median TTP of 5 years

High-risk, median OS 3 years
Gain(1q21) ** High risk of progression

Median TTP of 2 years

Intermediate-risk (mSMART) or high-risk (IMWG), median OS 5 years
Del(17p) * High risk of progression

Median TTP of 2 years

High-risk, median OS 3 years
Del(1p) N/A High-risk (mSMART) [25]
Trisomies plus any one of

the IgH translocations

Standard risk of progression

Median TTP of 5 years

May ameliorate adverse prognosis conferred by

high risk IgH translocations, and del 17p

Isolated monosomy 13,

or isolated monosomy 14

Standard risk of progression

Median TTP of 5 years

Effect on prognosis is not clear
Normal Low risk of progression

Median TTP of 7-10 years

Good prognosis, probably reflecting low tumor burden,

median OS >7-10 years

* Presence of del(17p) indicates high risk MM regardless of other abnormalities.

** Gain(1q21) (without other high risk abnormalities) is considered intermediate-risk.

*** Risk stratifications are according to IMWG and mSMART systems unless otherwise specified.

ASCT, autologous stem cell transplantation; IMWG, International Myeloma Working Group [26] ; mSMART, Mayo stratification for myeloma and risk-adapted therapy classification [1][24] ; MDE, myeloma-defining event; OS, overall survival; TTP, time to progression.

The case of t(11;14) - IGH/CCND1: [27]

  • Currently classified as a standard-risk abnormality.
  • However, with the advent of novel agents (including proteasome inhibitors, immunomodulatory agents, and, more recently, monoclonal antibodies[28][29][30]), findings from more recent retrospective reviews have shown that t(11;14) may be associated with intermediate outcomes in patients treated with novel agents as compared with patients who have standard- or high-risk cytogenetic aberrations [31][32].
  • Myeloma cells with t(11;14) have a unique biology, with relatively higher expression of the antiapoptotic protein BCL2 and lower expression of MCL1, in contrast to MM cells without this translocation. [33][34]
  • Venetoclax (BCL-2 inhibitor) mono-therapy has demonstrated anti-myeloma activity in patients with relapsed/refractory multiple myeloma positive for t(11;14).[27][35]


Role of cytogenetic aberrations in Staging of multiple myeloma. (Revised International Staging System)

Table 6: Staging systems for multiple myeloma[36]
Stage International Staging System Revised-ISS (R-ISS)
I Serum beta-2 microglobulin <3.5 mg/L,

Serum albumin ≥3.5 g/dL

ISS stage I and standard-risk chromosomal abnormalities by FISH

and

Serum LDH ≤ the upper limit of normal

II Not ISS stage I or III Not R-ISS stage I or III
III Serum beta-2 microglobulin ≥5.5 mg/L ISS stage III and either high-risk chromosomal abnormalities by FISH

or

Serum LDH > the upper limit of normal

Notes Standard-risk: No high-risk chromosomal abnormality.

High-risk: Presence of del(17p) and/or translocation t(4;14) and/or translocation t(14;16).

Survival data of plasma cell myeloma in clinical trial cohorts of selected cytogenetic aberrations are reviewed by Pieter Sonneveld et al. [26]

Gene expression signatures through high-throughput methods such as gene expression profiling (GEP) have been reported as being capable of discerning risk/prognosis in plasma cell myeloma. There are several GEP platforms available, such as 15-gene, 70-gene and 92-gene models, but they are not commonly used in clinical practice yet (NCCN guidelines 1.2021 for multiple myeloma). [3]

Gene mutations are also helpful for risk stratification in plasma cell myeloma, e.g., mutations of IRF4 or PRDM1 genes involving plasma cell differentiation are usually indicative for a favorable prognosis, while mutation of TP53, ATM or ATR genes involving DNA repair pathway mostly imply for a poor prognosis. [37]

Individual Region Genomic Gain / Loss / LOH

Put your text here and fill in the table (Instructions: Includes aberrations not involving gene fusions. Can include references in the table. Can refer to CGC workgroup tables as linked on the homepage if applicable. Do not delete table.)

Chr # Gain / Loss / Amp / LOH Minimal Region Genomic Coordinates [Genome Build] Minimal Region Cytoband Diagnostic Significance (Yes, No or Unknown) Prognostic Significance (Yes, No or Unknown) Therapeutic Significance (Yes, No or Unknown) Notes
EXAMPLE:

7

EXAMPLE: Loss EXAMPLE:

chr7:1- 159,335,973 [hg38]

EXAMPLE:

chr7

Yes Yes No EXAMPLE:

Presence of monosomy 7 (or 7q deletion) is sufficient for a diagnosis of AML with MDS-related changes when there is ≥20% blasts and no prior therapy (add reference).  Monosomy 7/7q deletion is associated with a poor prognosis in AML (add reference).

EXAMPLE:

8

EXAMPLE: Gain EXAMPLE:

chr8:1-145,138,636 [hg38]

EXAMPLE:

chr8

No No No EXAMPLE:

Common recurrent secondary finding for t(8;21) (add reference).

Characteristic Chromosomal Patterns

Put your text here (EXAMPLE PATTERNS: hyperdiploid; gain of odd number chromosomes including typically chromosome 1, 3, 5, 7, 11, and 17; co-deletion of 1p and 19q; complex karyotypes without characteristic genetic findings; chromothripsis. Do not delete table.)

Chromosomal Pattern Diagnostic Significance (Yes, No or Unknown) Prognostic Significance (Yes, No or Unknown) Therapeutic Significance (Yes, No or Unknown) Notes
EXAMPLE:

Co-deletion of 1p and 18q

Yes No No EXAMPLE:

See chromosomal rearrangements table as this pattern is due to an unbalanced derivative translocation associated with oligodendroglioma (add reference).

editv4:Characteristic Chromosomal Aberrations / Patterns
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MOST OF THIS CAN BE TAKEN OUT AS IT IS REFLECTED IN THE TABLE. THE MATERIAL THAT IS RETAINED, PUT IN A BULLETED FORM.


INSERT AN ACTUAL TABLE. INCLUDE PREVALENCE AND OTHER RELEVANT INFO IN SEPARATE COLUMNS.

Numerical karyotype aberrations: [38][39]

  • Hyperdiploid/Trisomies plasma cell myeloma (≥47 and <75 chromosomes): It has been defined by multiple chromosomal gains, preferentially of the odd chromosomes 3, 5, 7, 9, 11, 15, 19 and 21.
  • Non-hyperdiploid plasma cell myeloma: It has a high frequency of IgH translocations (14q32), which are thought to be early events in the disease.
    • Hypodiploid (≤44 chromosomes),
    • Pseudodiploid (45–46 chromosomes)
    • Near tetraploid (>75 chromosomes), where the last is regarded to originate from doubling of the hypodiploid and pseudodiploid karyotypes.


Primary cytogenetic aberrations: These aberrations may be present both prior to and in plasma cell myeloma, indicating that these primary events can be identified in patients with non-IgM MGUS or smoldering multiple myeloma, the precursor states of plasma cell myeloma. [40][23]

  • Trisomies (commonly involving odd- numbered chromosomes) and hyperdiploidy
  • Immunoglobulin heavy chain (IgH) translocations and dysregulated oncogenes in the partner chromosome
    • t(4;14)/IGH/FGFR3 and MMSET
    • t(6;14)/IGH/CCND3
    • t(11;14)/IGH/CCND1
    • t(14;16)/IGH/MAF
    • t(14;20)/IGH/MAFB
    • IgH translocations with uncommon chromosome partners
  • Trisomies plus any IgH translocation

Common secondary cytogenetic aberrations: * [41][42][43][44]

  • del13q or - 13 **
  • del17p (TP53 deletion) or -17
  • del1p (loss of CDKN2C and TP73)
  • duplication or amplification of 1q (gain/amplification of CKS1B)

* Each secondary cytogenetic abnormality alone or in combination can occur in any primary molecular MM subtype.

** Del13q and -13 are considered as secondary events by the International Myeloma Working Group (IMWG), [44][40][23] but they are listed as primary events in other publications. [45][46]

Copy number alterations: According to genome-wide studies by array-based comparative genomic hybridization (aCGH), single nucleotide polymophism (SNP)–based CGH (SNP array) as well as massively parallel next generation sequencing NGS) of paired tumor/normal specimen from patients with diagnosed plasma cell myeloma, CNVs with a fluctuating frequency of <5 to >90% can involve both p and q arms of almost all chromosomes. Although their correlations with chromosomal abnormalities and their clinical significance are not well defined yet, the majority of these CNVs usually may indicate presence of additional aberrations that either routine chromosomal analysis have failed to detect or the concurrent FISH tests haven’t covered. [47][48][49]


Gene Mutations (SNV / INDEL)

Put your text here and fill in the table (Instructions: This table is not meant to be an exhaustive list; please include only genes/alterations that are recurrent and common as well as either disease defining and/or clinically significant. Can include references in the table. For clinical significance, denote associations with FDA-approved therapy (not an extensive list of applicable drugs) and NCCN or other national guidelines if applicable. Can also refer to CGC workgroup tables as linked on the homepage if applicable as well as any high impact papers or reviews of gene mutations in this entity. Do not delete table.)

Gene; Genetic Alteration Presumed Mechanism (Tumor Suppressor Gene [TSG] / Oncogene / Other) Prevalence (COSMIC / TCGA / Other) Concomitant Mutations Mutually Exclusive Mutations Diagnostic Significance (Yes, No or Unknown) Prognostic Significance (Yes, No or Unknown) Therapeutic Significance (Yes, No or Unknown) Notes
EXAMPLE: TP53; Variable LOF mutations

EXAMPLE:

EGFR; Exon 20 mutations

EXAMPLE: BRAF; Activating mutations

EXAMPLE: TSG EXAMPLE: 20% (COSMIC)

EXAMPLE: 30% (add Reference)

EXAMPLE: IDH1 R123H EXAMPLE: EGFR amplification EXAMPLE:  Excludes hairy cell leukemia (HCL) (add reference).


Note: A more extensive list of mutations can be found in cBioportal (https://www.cbioportal.org/), COSMIC (https://cancer.sanger.ac.uk/cosmic), ICGC (https://dcc.icgc.org/) and/or other databases. When applicable, gene-specific pages within the CCGA site directly link to pertinent external content.


editv4:Gene Mutations (SNV/INDEL)
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THIS SECTION NEEDS REFERENCES.

Up to date, there is no known gene mutation which is considered as plasma cell myeloma-specific. However, a median mutation rate of approximately 1.6 mutations/Mb is observed in plasma cell myeloma cases, lower than that of approximately 10 mutations/Mb in melanoma and lung cancer cases. Table 3 adapted from report by Kumar and Rajkumar in 2018 summarizes the most common somatic mutations, their frequencies and major function (Table 2). Some of them are actionable mutations, e.g., KRAS and NRAS mutations.

SEE HCL PAGE FOR TABLE FORMAT. INSERT THE ADDITIONAL COLUMNS (E.G. TUMOR SUPPRESSOR/ONCOGENE).

Table 2. List of genes frequently mutated in plasma cell myeloma and their frequencies and main function [44]
Gene Mutation Effect Frequency Function
KRAS Activation 20-25% MAPK signaling pathway (cell survival and growth) [50][51]
NRAS Activation 23-25% MAPK signaling pathway (cell survival and growth); mutation may be associated with reduced sensitivity to bortezomib [52]
TP53 Complex [53] 8-15% Tumor suppressor involved in response to DNA damage and apoptosis
DIS3 [54] Unclear 11% Exosome endoribonuclease (RNA metabolism)
TENT5C (FAM46C) [55] Unclear ~11% Nucleotidyltransferase that act as a non-canonical poly(A) RNA polymerase which enhances mRNA stability and gene expression. [56]
BRAF [57] Activation 6-15% MAPK signaling pathway (cell survival and growth)
TRAF3 Loss of function 3-6% NF-κB signaling pathway (cell survival and proliferation) [58][59][60]
ROBO1 [61] Unclear 2-5% Transmembrane receptor for SLIT2; may involved in myeloma-marrow niche interaction [62]
CYLD [63] Loss of function 2-3% NF-κB signaling pathway (cell survival and proliferation) [64] and Wnt/β-catenin signaling [65]
EGR1 Unclear 4-6% Transcription factor; EGR1 interacts with JUN in modulating myeloma cell apoptosis [66]; the EGR1 mutation is associated with hyperdiploid cases and a better overall survival [67]
SP140 Unclear 5-7% Antigen-response mechanisms in mature B cells; only significantly mutated in the hyperdiploid samples [68]
FAT3 Unclear 4-7% Cadherin superfamily member (cell adhesion)
CCND1 Unclear 3% Cell cycle progression; CCND1 mutation occurs in t(11;14) cases and is associated with a poor prognosis when compared with non-mutated t(11;14) patients. [69]

Epigenomic Alterations

It has been reported that the translocation of t(4;14)(p16;q32) occurring in approximately 6 to 15% of all plasma cell myeloma cases causes a juxtaposition of two important genes, of FGFR3 and MMSET (also called as NSD2) adjacently located at 4p16 with the IGH enhancer located at 14q32, resulting in deregulation of FGFR3 and MMSET expressions. MMSET is functionally a methyl-transferase which plays an important role in the methylation of histone H3K36 and histone H4K20. The histone H3K36 modulates the expression of several genes, while the methylated histone H4K20 is involved in the recruitment of p53 binding protein 1 (53BP1) at the site of DNA damages. [70][71]

Genes and Main Pathways Involved

Put your text here and fill in the table (Instructions: Can include references in the table. Do not delete table.)

Gene; Genetic Alteration Pathway Pathophysiologic Outcome
EXAMPLE: BRAF and MAP2K1; Activating mutations EXAMPLE: MAPK signaling EXAMPLE: Increased cell growth and proliferation
EXAMPLE: CDKN2A; Inactivating mutations EXAMPLE: Cell cycle regulation EXAMPLE: Unregulated cell division
EXAMPLE:  KMT2C and ARID1A; Inactivating mutations EXAMPLE:  Histone modification, chromatin remodeling EXAMPLE:  Abnormal gene expression program
editv4:Genes and Main Pathways Involved
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Due to the wide spectrum of chromosomal abnormalities and somatic mutations identified in plasma cell myeloma, it’s believed that the oncogenesis and development of plasma cell myeloma may also involve many pathways. Please refer to review articles for more detailed information. [44][37]

NF-κB pathway: Dysregulation of NF-kB pathway is found in approximately 20% of patients, including the inactivation of TRAF2, TRAF3, CYLD, cIAP1/cIAP2, and activation of NFKB1, NFKB2, CD40, LTBR, TACI, and NIK that result primarily in constitutive activation of the non-canonical NF-kB pathway. [63] The anti-myeloma activity of proteasome inhibitor bortezomib (PS-341) may partly involve NF-kB pathway. [72][73]

RAS/MAPK pathway: This is the most frequently observed pathway mutations in plasma cell myeloma (~40%), including KRAS, NRAS, and BRAF. [67] In addition, FGFR3, one of the affected gene in t(4;14) rearrangement, is a tyrosine-kinase receptor that is on the upstream of RAS/MAPK pathway.

Cell-cycle pathway: This pathway include cyclin D (such as CCND1 and CCND3) and cyclin-dependent kinases (such as CDK4 and CDK6), as well as the inhibitors (such as CDKN2C and RB1). Many of these genes are commonly involved in cytogenetic aberrations. An early stage clinical trial suggests biologic activity of CDK4/6 inhibitor palbociclib in myeloma patients. [74]

DNA damage pathway: TP53 mutation and deletion (17p deletion) suggest a high risk disease. [75]

MYC activation: MYC rearrangement is found in 8% of the newly diagnosed myeloma patient in a Mayo Clinic study. It is associated with high disease burden and is an independent adverse prognostic factor. [76]

Genetic Diagnostic Testing Methods

Chromosomal analysis can detects abnormalities in only 30% of plasma cell myeloma cases at diagnosis, which are most likely due to the low proliferation of malignant plasma cells or myeloma cells and limit of availability of analyzable metaphase cells harvested from bone marrow culture. According to the updated American College of Medical Genetics and Genomics (ACMGG) technical standards and guidelines for chromosome studies in plasma cell dyscrasia, metaphase cells harvested from unstimulated 24- and 72-hour cultures as well as 120-hour IL-4-stimulated culture should be analyzed in each case. [77] However, longer bone marrow culture may potentially increase the risk of contamination, the occurrence of possible culture artifacts and/or the turnaround time (TAT). Conventional karyotyping is useful to detect hypodiploidy and deletion 13, but if FISH studies are done, additional value in initial risk‐stratification may be limited. [3]

CD138 enrichment: As recommended by ACMGG and the Cancer Genomics Consortium (CGC), bone marrow samples are subjected to be enriched for the CD138+ plasma cell fraction before applying for FISH and/CMA analyses, especially those with plasma cells percentage below a certain cutoff value for successful FISH and/or CMA analyses established by each laboratory. The enriched CD138+ plasma cells are usually not suitable for subsequently in vitro culture and chromosomal analysis. [78][79]

Fluorescence in situ hybridization (FISH) testing is performed mainly targeting clinically relevant abnormalities with well-known implication for risk stratification in plasma cell myeloma cases. The National Comprehensive Cancer Network (NCCN) recommends that a panel of FISH tests including t(4;14), t(11;14), t(14;16), t(14;20), del 1p, gain or amplification of 1q21, del 13, and del 17p13 should be performed for all active plasma cell myeloma cases at their initial workup (NCCN guideline Version 4.2021 for Multiple Myeloma). Identification of cytogenetic aberrations of a low frequency (e.g., del6q and del16q) by FISH is feasible not not routinely performed in the majority of clinical cytogenetic laboratories, mainly due to additional expenses and limit of clinical specimen.

For the follow-up specimens, the previously abnormal FISH tests may be repeated. Additional FISH tests for secondary aberration and disease progression can be performed (such as TP73/1q22, TP53/D17Z1 and MYC probes). [80]

In general, all these markers discussed above are not specifically for diagnosis of plasma cell myeloma and/or its precursors, MGUS and SMM. Instead, they are clinically applied for risk stratification and some of them, the actionable mutations, are also specifically utilized for choice of targeted and/or more efficient therapies.


Dr. Tang, Can you please verify the sensitivity numbers with our validation data? Also, can you add a comparison between marrow aspirate specimen and FFPE specimen in terms of assay specs?

A FISH test is considered very specific for the targeted aberration, but its sensitivity technically varies from 0.5% to 10% or higher (???). Depending on multiple factors such as type of FISH probes (fusion probe vs. break-apart probe), coverage of each probe, quality of test samples and so on.

Due to the extremely low levels of chromosomal abnormalities that are beyond the limit of detection by chromosomal analysis or FISH, high sensitive assays have been adopted for the evaluation of bone marrow aspirates for minimal residual disease (MRD), including multiparametric flow cytometry (MFC), allele-specific oligonucleotide (ASO)-qPCR and next-generation sequencing (NGS) of VDJ sequences to assess the status of MRD in plasma cell myeloma. [81]  


Chromosomal microarray (CMA) is more and more frequently applied in the clinical studies of plasma cell myeloma cases. This assay theoretically has a full coverage of the whole genome, mainly for copy number variations (CNVs) and possible copy number-neutral loss of heterozygosity (CN-LOH)     analyses of the whole genome. It is not able to detect balanced structural chromosomal abnormalities, such as translocation (e.g., IGH rearrangement–related), insertion and/or inversion. [82][83][84] In general, CMA analysis is not sensitive enough to identify any CNVs and/or CN-LOH at a low level, e.g., <25%). [84][78]


Table 3: Common FISH assays detecting chromosomal abnormalities in plasma cell neoplasms
Chr. Abnormalitites Target(s) Type of Probe
14q32.33 rearrangement IGH Break apart
t(11;14)(q13;q32) IGH/CCND1 Dual fusion
t(4;14)(p16;q32) IGH/FGFR3 or IGH/MMSET * Dual fusion
t(14;20)(q32;q11) IGH/MAFB Dual fusion
t(6;14)(p21;q32) IGH/CCND3 Dual fusion
t(14;16)(q32;q23) IGH/MAF Dual fusion
8q24.1 rearrangement MYC Break apart
17p- TP53 Deletion probes
1q21 amplification [85][86] and 1p deletion CKS1B and CDKN2C (P18) Amplification/deletion probes
-13/13q- RB1 and LAMP1 Deletion probes
+9/+15 Whole chromosomes Centromere Enumeration Probe
+3/+7 Whole chromosomes Centromere Enumeration Probe

* The FGFR3 probe poses a coverage of approximately 1 MB, including the whole FGFR3 and MMSET (NSD2) genes and their flanking region (https://www.molecular.abbott/int/en/chromosome/4).


Familial Forms

Family members and relatives of plasma cell myeloma patients have a high possibility (approximately 2-4 fold elevated risk) of developing the disease, implying for inherited predisposition. According to genome-wide association studies (GWAS), more than 10 genetic susceptibility loci associated with plasma cell myeloma have been identified, such as rs603965A (current id: rs9344) located at 11q13.3 within the CCND1 gene and rs4407910 located at 8q24.12. Please refer to review article by Manier et al for detailed information. [37]

Additional Information

  • None

Links

References

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Notes

*Primary authors will typically be those that initially create and complete the content of a page. If a subsequent user modifies the content and feels the effort put forth is of high enough significance to warrant listing in the authorship section, please contact the CCGA coordinators (contact information provided on the homepage). Additional global feedback or concerns are also welcome.

Acknowledgements:

We are grateful to Dr. Manisha Sutariya from Loma Linda University Health for providing additional information and guidance.

*Citation of this Page: “Plasma cell myeloma / multiple myeloma”. Compendium of Cancer Genome Aberrations (CCGA), Cancer Genomics Consortium (CGC), updated 09/6/2024, https://ccga.io/index.php/HAEM5:Plasma_cell_myeloma_/_multiple_myeloma.