Response to PCV13 vaccination in patients with multiple myeloma versus healthy controls

S Shahzad Mustafa1,2, Deep Shah1, Jonathan Bress1,3

  • 1a Department of Medicine , Rochester Regional Health , Rochester , NY , USA.

Insights

Multiple myeloma patients show a similar initial immune response to the pneumococcal conjugate vaccine (PCV13) compared to healthy individuals. However, the vaccine

Area of Science:

  • Immunology
  • Vaccinology
  • Hematology

Background:

  • Infections pose significant risks for multiple myeloma (MM) patients due to impaired immune function.
  • Humoral dysfunction in MM patients leads to inadequate responses to vaccines like the pneumococcal polysaccharide vaccine (PPV23).
  • The pneumococcal conjugate vaccine (PCV13), which induces a T-cell dependent immune response, is recommended for MM patients.

Purpose of the Study:

  • To compare the initial immune response to PCV13 in multiple myeloma patients versus healthy controls.
  • To assess the durability of the immune response to PCV13 at six months post-vaccination in both groups.

Main Methods:

  • Seven patients with multiple myeloma and 18 healthy controls were enrolled.
  • Streptococcal pneumonia serotype IgG titers were measured at baseline, day 30, and day 180 after PCV13 vaccination.

Main Results:

  • PCV13 vaccination elicited a comparable initial IgG titer response in multiple myeloma patients and control subjects.
  • The duration of the immune response to PCV13 appeared to diminish more rapidly in multiple myeloma patients compared to controls by day 180.

Conclusions:

  • While PCV13 provides an initial immune response in multiple myeloma patients, its long-term effectiveness may be compromised.
  • Further research is needed to understand and potentially improve the durability of PCV13 responses in immunocompromised individuals with multiple myeloma.

Related Concept Videos

Vaccinations01:51

Vaccinations

Overview
51.7K
Bioavailability Study Design: Healthy Subjects Versus Patients01:15

Bioavailability Study Design: Healthy Subjects Versus Patients

Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
156
Cancer Vaccines01:30

Cancer Vaccines

Cancer treatment vaccines are a rapidly evolving field that offers a promising approach to immunotherapy. Unlike traditional vaccines that prevent diseases, cancer treatment vaccines are designed to treat existing cancers by stimulating the immune system to recognize and attack cancer cells.
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
1.1K
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
38.1K
Multiple Regression01:25

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
4.0K
Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
9.7K