AIMS: We aimed to describe and compare survival in teenagers and young adults (TYAs) with @entity5 to that of younger @entity1 and older adults, to identify sub-populations at greater or lesser risk of @entity204 . METHODS: We compared survival in @entity5 @entity1 diagnosed in the United Kingdom aged 13-24years (TYAs) to those aged 0-12 ( @entity1 ) and 25-49years (adults) using the National Cancer Data Repository. All cases had a first @entity5 diagnosis between 1st January 2001 and 31st December 2005 with censor date 31st December 2010 or @entity204 if earlier. RESULTS: We found six distinct statistically significant survival patterns. In pattern 1, the younger the age-group the better the 1- and 5-year survival ( @entity1778 , @entity43 ). In pattern 2, TYAs had a worse 5-year survival than both @entity1 and young adults (bone and soft tissues @entity242 ). In pattern 3, TYAs had a worse 1-year survival but no difference at 5-years ( @entity189 and female breast). In pattern 4, TYAs had better 1-year survival than adults, but no difference at 5years ( @entity96 and intrahepatic bile ducts, germ cell @entity5 of extra-gonadal sites). In pattern 5, the younger the age-group the better the 5-year survival, but the difference developed after 1-year ( @entity3052 , @entity694 and rectum). In pattern 6, there was no difference in 1- and 5-year survival between TYAs and adults (testicular germ cell @entity5 , @entity43 and @entity259 ). CONCLUSION: TYAs with specific @entity5 diagnoses can be grouped according to 1- and 5-year survival patterns compared to @entity1 and young adults. To further improve survival for TYAs, age-specific biology, pharmacology, proteomics, genomics, clinician and @entity1 behaviour studies embedded within clinical trials are required.

Survival patterns in teenagers and young adults with XXXX in the United Kingdom: Comparisons with younger and older age groups.

@entity1 :: ('9606', 'Species') :: ['children', 'patients', 'patient'] @entity43 :: ('MESH:D010051', 'Disease') :: ['ovarian germ cell tumours', 'carcinoma of ovary and melanoma'] @entity242 :: ('MESH:D012509', 'Disease') :: ['sarcomas'] @entity96 :: ('MESH:D008113', 'Disease') :: ['carcinoma of liver'] @entity5 :: ('MESH:D009369', 'Disease') :: ['cancer', 'tumours'] @entity694 :: ('MESH:D003110', 'Disease') :: ['carcinoma of colon'] @entity189 :: ('MESH:D002277', 'Disease') :: ['carcinoma of cervix'] @entity3052 :: ('MESH:D015470', 'Disease') :: ['acute myeloid leukaemia'] @entity1778 :: ('MESH:D007938', 'Disease') :: ['acute lymphoid leukaemia'] @entity259 :: ('MESH:D013964', 'Disease') :: ['carcinoma of thyroid'] @entity204 :: ('MESH:D003643', 'Disease') :: ['death']
@entity5 :: (MESH:D009369,Disease) :: ['cancer']
