Method for indicating a presence or non-presence of prostate cancer in individuals with particular characteristics
A prostate cancer, individual technology, applied in the field of prostate cancer in men, to improve the detection of prostate cancer and specific aggressive forms of prostate cancer, can solve the problems of low availability of predictive models and difficult identification
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Embodiment 6
[0096] Tables 5, 6 and 7 of Example 6 show the performance of PCaGS-specific PSA cutoffs to match PSA = 3 ng / ml as used in the general population for detection of aggressive prostate cancer, respectively, as used in the general population for detection of PSA = 3 ng / ml performance for prostate cancer, and PSA = 4 ng / mL performance for prostate cancer detection. Therefore, these values can be set as surrogate PSA cutoffs for detection of PCa in these specific PCaGS.
[0097] The PCaGS of Example 6 includes:
[0098] - HOXB13-positive, ie rs138213197-positive individuals (PCaGS_ex2),
[0099] - Defines individuals (PCaGS_61) whose PcaGS with risk scores (rs16901979, rs7818556, rs12793759, rs138213197) have a value greater than 0.7
[0100] - Individuals with a value greater than 0.7 (PCaGS_62) defining a subgroup of risk scores containing (rs16901979, rs7818556, rs12793759, rs138213197, rs16860513, rs7106762)
[0101] - Individuals (PCaGS_63) with a PcaGS risk score greater...
Embodiment 1
[0199] In the first example, the PCaGS_ex1 subgroup is defined as follows:
[0200] PCaGS_ex1 members have one or both of the following:
[0201] Homozygous risk allele carriers for SNPs with an odds ratio of 1.2 to 2
[0202] Heterozygous risk allele carrier for a SNP with an odds ratio >2
[0203] The data set used in this example included 4384 individuals from the STHLM3 study, and for each individual, genotypes of 254 different SNPs (List 2 above), protein biomarker concentrations (total PSA, free total PSA, Concentrations of free intact PSA, hK2, MSMB, and MIC1), family history, age, prostate volume, and digital rectal results were known. 308 individuals (7%) were members of the PCaGS subgroup. Of these 308, 60 (19%) had Gleason 7+ cancer.
[0204] The cohort of 4384 did not include information on ethnic background, but was a cohort of randomly selected men aged 50-70 at the time with a residential address in Stockholm. Sweden is a multicultural society. In 2012, ab...
Embodiment 2
[0222] In a second example, the same data set as in Example 1 was used, and the PCaGS_ex2 subgroup was defined as individuals carrying at least one risk allele of rs138213197 (HOXB13). The distribution of individuals with PSA values greater than 4.0 ng / mL is shown in Table 3:
[0223] benign Gleason score of 6 or higher Gleason score of 7 or higher PCaGS_ex2 group 7 26 16 Non-PCaGS_ex2 group 1151 830 439
[0224] table 3.
[0225] This means that for individuals in the PCaGS_ex2 subgroup with a PSA value greater than 4.0 ng / mL, the probability of having prostate cancer (Gleason score 6 or higher) is approximately 79% and having aggressive prostate cancer (Gleason score 7 or higher) is approximately 48% of the time. In contrast, individuals who were not members of the PCaGS_ex2 subgroup and had a PSA value greater than 4.0 had a 42% probability of prostate cancer and a 22% probability of invasive prostate cancer. In this particular case ...
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