Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

610
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
610
Non-LTR Retrotransposons03:18

Non-LTR Retrotransposons

13.0K
As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...
13.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Myelodysplastic Syndrome in a Patient With Common Variable Immunodeficiency: A Rare Occurrence.

Cureus·2022
Same author

Review of Immune-Related Adverse Events (irAEs) in Non-Small-Cell Lung Cancer (NSCLC)-Their Incidence, Management, Multiorgan irAEs, and Rechallenge.

Biomedicines·2022
Same author

Blood and Marrow Transplant Clinical Trials Network Study 1102 heralds a new era in hematopoietic cell transplantation in high-risk myelodysplastic syndromes: Challenges and opportunities in implementation.

Cancer·2021
Same author

Dosimetric analysis of cervical cancer stage IIB patients treated with volumetric modulated arc therapy using plan uncertainty parameters module of Varian Eclipse treatment planning system.

Biomedical physics & engineering express·2021
Same author

Correction to: The impact of unilateral diaphragmatic paralysis on sleepdisordered breathing: a scoping review.

Canadian journal of anaesthesia = Journal canadien d'anesthesie·2021
Same author

Elicitation of potent serum neutralizing antibody responses in rabbits by immunization with an HIV-1 clade C trimeric Env derived from an Indian elite neutralizer.

PLoS pathogens·2021

Related Experiment Video

Updated: Jan 3, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

457

Primary renal lymphoma: A population-based analysis using the SEER program (1973-2015).

Alankrita Taneja1, Vivek Kumar2,3, Abhinav B Chandra4

  • 1Department of Internal Medicine, Wayne State University School of Medicine, Detroit, MI, USA.

European Journal of Haematology
|November 27, 2019
PubMed
Summary

Primary renal lymphoma (PRL) is a rare kidney cancer with increasing incidence. Older age is a risk factor for worse survival, while non-diffuse large B-cell lymphoma (DLBCL) histology is linked to better outcomes.

Keywords:
non-hodgkin lymphomaprimary lymphomaprimary renal lymphomarare lymphomasrenal lymphoma

More Related Videos

Murine Bilateral Renal Lymphadenectomy
06:20

Murine Bilateral Renal Lymphadenectomy

Published on: December 30, 2025

4
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

603

Related Experiment Videos

Last Updated: Jan 3, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

457
Murine Bilateral Renal Lymphadenectomy
06:20

Murine Bilateral Renal Lymphadenectomy

Published on: December 30, 2025

4
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

603

Area of Science:

  • Oncology
  • Epidemiology
  • Pathology

Background:

  • Primary renal lymphoma (PRL) is a rare non-Hodgkin lymphoma (NHL) confined to the kidneys.
  • Existing literature on PRL epidemiology and outcomes is limited.

Observation:

  • Utilized the Surveillance, Epidemiology, and End Result (SEER) database (1984-2015) to analyze PRL characteristics.
  • Identified 599 eligible PRL patients, representing 0.17% of all NHL cases.
  • Observed an increasing age-adjusted incidence of PRL.

Findings:

  • The median age of PRL patients was 72 years, with a predominance of Caucasian males.
  • Diffuse large B-cell lymphoma (DLBCL) was the most common histologic type, often presenting as unilateral tumors.
  • Age 60 years or older was the strongest predictor of worse overall survival (OS) and cause-specific survival (CSS).
  • Non-DLBCL histology was associated with improved OS and CSS.

Implications:

  • PRL is a rare entity with a rising incidence.
  • Age and specific lymphoma subtypes significantly impact patient survival.
  • Further research into PRL is warranted given its rarity and evolving incidence patterns.