Related Experiment Video
Updated: Feb 9, 2026
14:04
Neutrophil Isolation and Analysis to Determine their Role in Lymphoma Cell Sensitivity to Therapeutic Agents
Published on: March 25, 2016
15.9K
Survival in B-cell primary ocular lymphoma 1997-2014: a population-based study
Deliang L Liu1, Zhuojun J Zheng1
1Department of Hematology, Third Affiliated Hospital of Soochow University, Changzhou, China.
Summary
Treatment for B-cell primary ocular lymphoma (POL) depends on lymphoma type. Invasive POL benefits from chemotherapy and radiation, while indolent POL may not require radical treatment.
Area of Science:
- Oncology
- Ophthalmology
- Hematology
Background:
- B-cell primary ocular lymphoma (POL) is a rare malignancy.
- Understanding prognostic factors is crucial for optimizing patient outcomes.
Purpose of the Study:
- To identify independent prognostic factors for B-cell primary ocular lymphoma (POL).
- To guide therapeutic strategies based on lymphoma subtype and prognostic indicators.
Main Methods:
- Retrospective cohort study using the Surveillance, Epidemiology, and End Results (SEER) database (1997-2014).
- Inclusion of 2778 patients diagnosed with B-cell POL.
- Descriptive statistics for epidemiology and clinical characteristics.
- Univariate and multivariable Cox regression for survival analysis.
Main Results:
- Independent prognostic factors identified: age, lymphoma subtype, primary lesion, and radiation status.
- Indolent B-cell POL: Avoid radical treatment, especially intravenous chemotherapy.
- Invasive B-cell POL: Chemotherapy with full orbital irradiation recommended.
- Radiotherapy (alone or combined with chemotherapy) superior to chemotherapy alone (p<0.05).
- Radiation offers benefits with tolerable neurotoxicity for invasive B-cell POL.
Conclusions:
- Treatment decisions for B-cell POL should be tailored to lymphoma subtype.
- Radiation therapy is a beneficial component for invasive B-cell POL management.
- Conservative management may be appropriate for indolent B-cell POL, avoiding aggressive therapies.
Keywords:
carcinoma
Related Concept Videos
02:04Conservation of Small Populations
17.4K
Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
17.4K
01:25What is Population Genetics?
64.8K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
64.8K
00:30What are Populations and Communities?
38.0K
Overview
38.0K
00:57Population Growth
28.7K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
28.7K
01:18Survival Curves
723
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...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
723
01:19Survival Tree
433
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...
Building a Survival Tree
Constructing a...
433