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Trends in survival for cancer patients aged 65 years or over from 1995 to 2014 in the United States: A population-based study.

Lan An | Wen Ju | Rongshou Zheng | Hongmei Zeng | Siwei Zhang | Ru Chen | Kexin Sun | Li Li | Shaoming Wang | Wenqiang Wei
Cancer medicine | 2023

Adults aged 65 years and above account for over half of all cancer diagnoses in the United States, but little is known about trend of elderly cancer survival in the United States. We aimed to assess the survival trend for elderly cancer in the United States from 1995 to 2014.

Pubmed ID: 36366749

Research resources used in this publication

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International Agency for Research on Cancer (tool)

RRID:SCR_005422

The International Agency for Research on Cancer (IARC) is part of the World Health Organization. IARC''s mission is to coordinate and conduct research on the causes of human cancer, the mechanisms of carcinogenesis, and to develop scientific strategies for cancer prevention and control. The Agency is involved in both epidemiological and laboratory research and disseminates scientific information through publications, meetings, courses, and fellowships.

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Surveillance Epidemiology and End Results (tool)

RRID:SCR_006902

SEER collects cancer incidence data from population-based cancer registries covering approximately 47.9 percent of the U.S. population. The SEER registries collect data on patient demographics, primary tumor site, tumor morphology, stage at diagnosis, and first course of treatment, and they follow up with patients for vital status.There are two data products available: SEER Research and SEER Research Plus. This was motivated because of concerns about the increasing risk of re-identifiability of individuals. The Research Plus databases require more rigorous process for access that includes user authentication through Institutional Account or multiple-step request process for Non-Institutional users.

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Islander (tool)

RRID:SCR_007758

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. Islander is a comprehensive online database containing genomic islands discovered in completely sequenced bacterial genomes by the algorithm. Islands are transmitted between prokaryotic strains and therefore play a major role in genome evolution. An island often encodes an integrase gene that specifies the island''s position in the host genome. Usually integrases specify tRNA genes, and the island splits the the tRNA gene when it integrates. However the island also carries sequence that replaces the split-off portion, restoring an intact tRNA gene. Thus an island is often marked by a tRNA gene at one end, and a fragment of that gene at the other end. The islands in this database were identified using this principle through the following procedure: :1. Search for tRNA and tmRNA genes using tRNAscan-SE and BRUCE on whole prokaryotic genomes. :2. Search for significant hits to each tRNA and tmRNA gene using BLAST against the source genome. :3. Narrow down hits to those containing integrase genes (required for site-specific integration into the host genome). :4. Remove false positives (e.g., tRNA gene fragment not from end of gene, or in wrong orientation). :5. Enter into mysql database, display on website using Perl CGI pages.

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