Low absolute NK cell counts in peripheral blood are associated with inferior survival in patients with mantle cell

Xiao-Hui Zhou1,2,3,1, Xin-Yu Zhang1,2,3,1, Jin-Hua Liang1,2,3

  • 1Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu 210029, China.

Abstract

Insights

Low absolute natural killer cell counts (ANKC) predict worse overall survival in mantle cell lymphoma (MCL) patients. This finding offers new insights for risk stratification beyond the simplified MCL International Prognostic Index (sMIPI).

Area of Science:

  • Hematology
  • Oncology
  • Immunology

Background:

  • Mantle cell lymphoma (MCL) risk stratification typically uses the simplified MCL International Prognostic Index (sMIPI).
  • Host-related factors and tumor microenvironment, including absolute monocyte counts (AMC) and T lymphocyte subsets, are increasingly recognized as critical for MCL prognosis.
  • Absolute natural killer cell counts (ANKC) are a potential prognostic marker in MCL.

Purpose of the Study:

  • To investigate the impact of peripheral blood ANKC and AMC at diagnosis on MCL prognosis.
  • To determine if ANKC and AMC can improve risk stratification in MCL.

Main Methods:

  • Retrospective study of 92 newly diagnosed MCL patients.
  • Flow cytometric analysis of fresh peripheral blood samples to determine ANKC and AMC.
  • Univariable and multivariable analyses to assess prognostic significance.

Main Results:

  • Median follow-up was 42 months; median overall survival (OS) was 45 months.
  • High AMC was associated with inferior progression-free survival (PFS) and OS in univariable analysis.
  • Low ANKC was significantly associated with worse OS in both univariable and multivariable analyses, independent of sMIPI.

Conclusions:

  • Low ANKC (≤ 0.1 × 10^9/L) is a significant predictor of inferior OS in MCL patients.
  • ANKC may serve as a valuable prognostic biomarker for MCL, complementing existing risk scores like sMIPI.

Related Concept Videos

Immune Surveillance by NK Cells and Phagocytes01:25

Immune Surveillance by NK Cells and Phagocytes

Immune surveillance is an integral part of the innate immune system, involving the continuous monitoring of peripheral tissues to detect and respond to pathogens, infected cells, or cancerous cells. This surveillance is conducted primarily by natural killer (NK) cells and phagocytes, which employ distinct but complementary mechanisms to identify and eliminate threats.
Natural Killer Cells: The Fast Responders
NK cells are large granular lymphocytes found in the blood and lymphatic system. These...
8.0K
Mean Absolute Deviation01:13

Mean Absolute Deviation

The mean absolute deviation is also a measure of the variability of data in a sample. It is the absolute value of the average difference between the data values and the mean.
Let us consider a dataset containing the number of unsold cupcakes in five shops: 10, 15, 8, 7, and 10. Initially, calculate the sample mean. Then calculate the deviation, or the difference, between each data value and the mean. Next, the absolute values of these deviations are added and divided by the sample size to...
3.3K
Protein Buffers in Blood Plasma and Cells01:20

Protein Buffers in Blood Plasma and Cells

The human body utilizes protein buffer systems to maintain a stable pH. These systems capitalize on the dual role of amino acids, which can act as acids or bases by accepting or releasing hydrogen ions in response to pH changes. Protein buffer systems are particularly significant in the extracellular fluid (ECF) and intracellular fluid (ICF) of active cells, where structural and functional proteins provide substantial buffering capacity.
Certain amino acids can exist in a zwitterion state at a...
3.7K
Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
411
Survival Curves01:18

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
688
Absolute and Local Extreme Values01:22

Absolute and Local Extreme Values

The highest and lowest values of a function, relative to a reference axis, are known as extreme values. These include absolute maximum and absolute minimum values, which represent the highest and lowest points the function reaches across its entire domain. Within a restricted portion of the function, the highest and lowest values are referred to as local maximum and local minimum values, respectively.Periodic functions, such as sine and cosine, show extreme values at infinitely many points due...
59