Serum
and Urine Biomarkers for Prostate Cancer: A Mini Review
*
Prostate cancer
(PC) is the second most common cancer in men worldwide and is a leading cause
of death. In
[Mymensingh
Med J 2025 Apr; 34 (2): 598-603]
Key words: Prostate cancer; Prostate
Neoplasm; Prostate carcinoma; Biomarkers; PSA; PHI; 4kScore; PCA3 Assay; FDA
Introduction
W |
orldwide
and in
Methods
We
undertook an electronic literature search using PubMed database and Google
Scholar. Literature search was carried on till 20th of May 2024. For
the PubMed search, the following MeSH Terms combined with the Boolean Operators
were used “prostate or prostatic” and “cancer or neoplasm or carcinoma or tumor
or cancers or neoplasms or tumors” and “marker or markers or biomarker or
biomarkers”. These keyword searches were limited to the articles title and
abstract.
1.
*Dr Naveen Ravi, Senior Resident,
Department of Physiology, AIIMS, Bibinagar,
2.
Professor Nitin Ashok John,
Professor and Head, Department of Physiology, AIIMS,
3.
Professor Madhuri Taranikanti,
Additional Professor, Department of Physiology, AIIMS,
598
*for correspondence
Titles
and abstracts of the extracted articles were quickly screened by the authors.
Only articles written in English language were included in this review. As FDA
approved the last PC biomarker, namely 4k-score in 2021, article search were
limited to those published in the previous 5 years. Articles that were mostly
about PC without much information on biomarkers were excluded. The authors then
analyzed the entire texts of filtered articles.
Figure
1: Flowchart on articles selection for inclusion in this review
Prostate Specific Antigen (PSA):
The Cornerstone in Prostate Cancer Biomarker
Diagnosis
and management of PC was completely revolutionized with the discovery of PSA10.
PSA is currently the most widely used PC biomarker worldwide. In the year 1986,
it was US FDA approved for monitoring progression of men previously diagnosed
with PC and in 1994 FDA approved PSA for PC screening in conjunction with DRE.
PSA level of 4ng/ml was defined as the upper normal limit7,8.
PSA
also known as human kallikrein (hk) 3 is a glycoprotein that can be detected in
circulating blood6. PSA is secreted by the prostate in its inactive
form proPSA, which is then processed into PSA. In health, proPSA does not enter
circulation. However, in PC, there is disruption of basement membrane and loss
of normal histological architecture resulting in diminished processing of PSA
consequently resulting in an increase in PSA, proPSA and other PSA isoforms in
blood11. Of the total PSA (tPSA) majority is bound to serum protease
inhibitors, such as α2-macroglobulin and α1-antichymotrypsin and only
a tiny fraction of the tPSA is unbound and free, referred to as free PSA (fPSA)6.
Normally,
fPSA accounts for 5.0 to 35.0% of the tPSA7. The fPSA has been
identified to be constituted of three isoforms namely benign PSA (bPSA), intact
PSA (iPSA) and proPSA6. Native proPSA has a leading 7 amino acid
peptide sequence [-7]proPSA. This 7 amino acid leader peptide chain is then
cleaved off by hk-2 and hk-4, ultimately resulting in the formation of PSA7,9.
Approximately one third of fPSA exists as proPSA. ProPSA is much more likely to
be associated with PC compared to the other isoforms. Depending on the length
of the leader amino acid pro-peptide, numerous isoforms of pro-PSA was been
identified in serum such as [-5]proPSA
(with 5 amino acid pro-peptide), [-4]proPSA
(with 4 amino acid pro-peptide), [-2]proPSA
(with two amino acid pro-peptide), among others9. The [-2]proPSA,
has a serine-arginine pro-leader peptide and is the most stable isoform of
proPSA and can be measured using immunoassays. It is very strongly correlated
with PC rather than benign prostatic hypertrophy (BPH), and hence is of immense
use not only for the early detection of PC but also for determining the
aggressiveness of PC6,7. Studies have shown [-2]proPSA to be a superior predictor of clinically
significant PC compared to tPSA11. In patients diagnosed with PC, PSA
has a sensitivity of 93.0% and specificity of 20.0%12.
Although
PSA is specific to the prostate organ, it is not cancer specific. Elevated
levels of PSA can be found in several benign conditions such as BPH,
prostatitis, following prostate biopsy or surgery. This limitation results in a
clinical conundrum. Because ~20.0% of men with PSA levels <4ng/ml have PC
and several men with much higher PSA levels do not have PC. Consequently,
resulting in over-diagnosis and over-treatment of PC. This shortcoming has
necessitated the need for novel and improved PC biomarkers7.
The prostate health index (PHI)
Following
FDA approval of PSA, in the year 2021, FDA approved PHI7. PHI is a derived
number that combines the values of tPSA, fPSA and [-2]proPSA. It is calculated
using the formula {[-2] proPSA/free PSA) × √ total serum PSA}10.
PHI is not only useful for early detection of PC but also for differentiating
between benign and malignant lesions in patients over 50 years of age with
normal prostate on DRE and with PSA between 4 and 10ng/mL. In patients whose tPSA
levels are between 4 to 10ng/mL, PHI test is a stronger predictor of PC positive
biopsy compared to serum PSA or its individual components10. By
determining the need for prostate biopsy, in cases with tPSA levels between 4
and 10ng/ml, it helps in mitigating unnecessary biopsies7. A PHI
score of 27.0 shows 90.0% sensitivity and 30.0% specificity for predicting
prostate cancer at biopsy8.
Prostate cancer antigen 3 (PCA3) assay
The
PCA3 gene expresses a non-coding mRNA that is specific to prostate and can be detected
in urine. This gene is over-expressed by 10 to 100 times in >95% of PC. This
over-expression of PCA gene is independent of serum PSA levels and prostate
volume. By modulating androgen receptor signaling, PCA3 mRNA plays a vital role
in cancerous cell survival10. PCA3 gene expression in healthy
prostate is undetectable7. With the help of quantitative RT-PCR test,
levels of mRNA PCA3 and mRNA PSA is measured in the first void urine sample
following a DRE. A score ranging from 0 to >100 is calculated using the
formula; urinary mRNA PCA3/ mRNA PSA × 1000. Apart from improving the diagnosis
of PC, PCA3 score also helps clinicians determine which patients should undergo
a biopsy and who should avoid a repeat biopsy. In 2012, the FDA approved the
use of PCA3 assay for making informed decision on re-biopsy among patients with
suspicious PSA values and normal DRE10. Optimal threshold levels for
PCA3 is still a subject a lot of lot of debate. Some studies consider utilizing
a threshold of ≥35, while others favor a threshold of 35, and few studies
suggest a threshold level <25 to be suggestive of an indolent PC7.
The sensitivity of PCA3 assay at a score of 35 ranges between 58.0% to 76.0%
and specificity between 58.0% to 76.0% respectively8,9,13.
The 4kScore
The
4kScore was developed based on data from European Randomized Study of Screening
for Prostate Cancer (ERSPC) studies and the Prostate Testing for Cancer and
Treatment (ProtecT) study11. The four-kallikrein (4K) Score uses the
levels of 4 prostate kallikrein biomarkers and combines them with 3 clinical
parameters using an algorithm. The 4 kallikreins are tPSA, fPSA, intact PSA,
and human kallikrein protein 2 while the three clinical parameters include age
of the individual, prior biopsy status, and findings on digital rectal
examination (presence or absence of nodules). For each individual, the 4kscore
gives a personalized risk prediction score that ranges from 1 to 100 for the
probability of detecting aggressive PC. Scores ranging from 1 to 7.5 are low
risk, whereas score >20 are indicative of clinically significant PC. The
4KScore test was approved by US FDA in 2021 for use in men over 45 years of age
who are biopsy negative or have not had a prior biopsy with abnormal tPSA and
or with an abnormal DRE. 4kScore is a good diagnostic indicator for detecting
significant PC. By providing clinicians with the probability of significant PC,
it helps them decide whether or not to perform a prostate biopsy10. The
test has a sensitivity of 96.0% and specificity of 45.0%14.
The
use of the discussed biomarkers has been recommended by the National
Comprehensive Cancer Network (NCCN) guidelines15, American
Urological Association (AUA) guidelines16, European Association of
Urology (UAU) guidelines17, among others. The urological society of
Table
I: Table comparing the features of the biomarkers for PC4-9,11-14
Sl
No |
Parameter |
PSA |
PHI |
PCA3 |
4k-Score |
1 |
Serum
or urine based |
Serum |
Serum |
Urine |
Serum |
2 |
Screening
or Diagnostic marker |
Mainly
used as a screening marker |
Mainly
used as a diagnostic marker |
Mainly
used as a diagnostic marker |
Mainly
used as a diagnostic marker |
3 |
Components |
Total
PSA = freePSA + bound PSA Free
PSA = benign PSA + intact PSA + pro-PSA Pro-PSA
= [-5]pro-PSA +[-4]pro-PSA + [-2]pro-PSA |
{[-2]
proPSA/free PSA) × √ total serum PSA} |
urinary
mRNA PCA3/mRNA PSA × 1000 |
Makes
use of the following parameters tPSA, fPSA, intact PSA, hk-2, age, prior
biopsy status, and findings on DRE |
4 |
Characteristics |
Secreted
in its inactive form proPSA which is absent from blood in health but becomes
detectable in PC. Of the various isoforms of pro-PSA, [-2]proPSA is strongly
associated with PC |
In
patients aged over 50 years, whose PSA is between 4 and 10 ng/mL, and DRE
findings are normal, it is useful for differentiating benign and malignant
prostate conditions and determines the need for biopsy |
PCA3
gene is over expressed in PC. The gene expresses a non-coding mRNA. In health
its levels are undetectable. |
use
in men over 45 years of age or above who are biopsy negative or have not had
a prior biopsy with abnormal tPSA and or with an abnormal DRE |
5 |
Clinical
variables needed |
No |
No |
No |
Yes |
6 |
Digital
rectal examination required prior to sample collection |
No |
No |
Yes |
No |
7 |
Pros |
Simple
and easy to perform |
Simple
and easy to perform |
Easy
to collect sample and easy to perform |
Simple
and easy to perform |
8 |
Cons |
Not
specific to cancer. Can be elevated in various benign prostate pathologies
too |
Needs
PSA levels |
Cut
off value still not well established |
Interpretation
needs clinical variables and PSA levels |
9 |
Sensitivity
and Specificity |
93%
and 20% |
90%
and 30% specificity |
Between
58% to 76% and between 58% to 76% respectively |
96%
and 45% respectively |
10 |
FDA
approval year |
1986
for monitoring PC progression and in 1994 for screening along with DRE |
2012 |
2012 |
2021 |
Studies
from Western countries that evaluate cost-effectiveness, show that compared to
PSA, newer PC biomarkers were cost saving. PC biomarkers also helped in
reducing unnecessary biopsies. Additionally, PC biomarkers helped reduce over
treatment19. Combining PC biomarkers with radiological
investigations can further help in reducing costs20. However, In
Conclusion
Over
the years biomarkers for early detection of PC has come a long way. PSA, is the
oldest and most widely employed biomarker for PC that was approved by FDA more
than a couple of decades ago. It was initially approved for monitoring
progression of PC and later on approved for screening PC. In 2012, FDA made two
new additions namely the serum based PHI and urine based PCA3 assay. PHI
combines the values of tPSA, fPSA and [-2]proPSA. PCA3 gene codes for an mRNA that
can be detected in first void urine specimen post DRE in patients with PC. In
the last few years, the FDA approved the 4k score which combines biochemical
and clinical parameters to help in diagnosis of PC. The use of these biomarkers
has been recommended by NCCN, AUA, UAU guidelines. In western countries these
biomarkers are proving to a cost effective strategy in addressing PC. In
References
1.
Cancer
Today. Global Cancer Observatory. International Agency for Research on Cancer.
World Health Organization. Available at: https://gco.iarc.fr/today/en.
2.
Bhargavi
R, Khilwani B, Kour B, Shukla N, Aradhya R, Sharma D et al. Prostate cancer in
3. Sankarapillai
J, Krishnan S, Ramamoorthy T, Sudarshan KL, Mathur P. Descriptive epidemiology
of prostate cancer in India, 2012-2019: Insights from the National Cancer
Registry Program. Indian J Urol. 2024;40(3): 167-73.
4.
Uhr
A, Glick L, Gomella LG. An Overview of biomarkers in the diagnosis and
management of prostate cancer. The Canadian Journal of Urology. 2020;27(Suppl 3):24-7.
5.
Alarcón-Zendejas
AP, Scavuzzo A, Jiménez-Ríos MA, Álvarez-Gómez RM, Montiel-Manríquez R,
Castro-Hernández C, Jiménez-Dávila MA, Pérez-Montiel D, González-Barrios R,
Jiménez-Trejo F, Arriaga-Canon C, Herrera LA. The promising role of new
molecular biomarkers in prostate cancer: from coding and non-coding genes to
artificial intelligence approaches. Prostate Cancer Prostatic Dis. 2022;25(3):431-43.
6.
Filella
X, Fernández-Galán E, Fernández Bonifacio R, Foj L. Emerging biomarkers in the
diagnosis of prostate cancer. Pharmaco-genomics and Personalized Medicine. 2018;
11:83-94.
7.
Saini
S. PSA and beyond: alternative prostate cancer biomarkers. Cellular Oncology.
2016; 39(2):97-106.
8.
Kohaar
I, Petrovics G, Srivastava S. A Rich Array of Prostate Cancer Molecular
Biomarkers: Opportunities and Challenges. International Journal of Molecular
Sciences. 2019;20(8):1813.
9.
Chen
JY, Wang PY, Liu MZ, Lyu F, Ma MW, Ren XY et al. Biomarkers for Prostate
Cancer: From Diagnosis to Treatment. Diagnostics. 2023;13(21):3350.
10. Baston C, Preda A, Iordache A,
Olaru V, Surcel C, Sinescu I et al. How to Integrate Prostate Cancer Biomarkers
in Urology Clinical Practice: An Update. Cancers. 2024; 16(2):316.
11. Manceau C, Fromont G, Beauval JB,
Barret E, Brureau L, Créhange G et al. Biomarker in Active Surveillance for
Prostate Cancer: A Systematic Review. Cancers. 2021;13(17): 4251.
12. Merriel SWD, Pocock L, Gilbert E,
Creavin S, Walter FM, Spencer A, Hamilton W. Systematic review and
meta-analysis of the diagnostic accuracy of prostate-specific antigen (PSA) for
the detection of prostate cancer in symptomatic patients. BMC Med.
2022;20(1):54.
13. Salciccia S, Capriotti AL, Laganà
A, Fais S, Logozzi M, De Berardinis E, Busetto GM, Di Pierro GB, Ricciuti GP,
Del Giudice F, Sciarra A, Carroll PR, Cooperberg MR, Sciarra B, Maggi M.
Biomarkers in Prostate Cancer Diagnosis: From Current Knowledge to the Role of
Metabolomics and Exosomes. Int J Mol Sci. 2021;22(9):4367.
14. Josefsson A, Månsson M, Kohestani
K, Spyratou V, Wallström J, Hellström M, Lilja H, Vickers A, Carlsson SV,
Godtman R, Hugosson J. Performance of 4Kscore as a Reflex Test to
Prostate-specific Antigen in the GÖTEBORG-2 Prostate Cancer Screening Trial.
Eur Urol. 2024;86(3):223-9.
15. National Comprehensive Cancer
Network. NCCN Guidelines. Prostate Cancer Early Detection. Available at:
https://www.nccn. org/guidelines/guidelines-detail?category=2& id=1460.
16. American Association of Urology.
Early detection of prostate cancer: AUA/SUO Guideline 2023. Available at: https://www.
auanet.org/guidelines-and-quality/guidelines/ early-detection-of-prostate-cancer-guidelines.
17. European Association of Urology.
Prostate cancer diagnostic evaluation. Available at: https://uroweb.org/guidelines/prostate-cancer/chapter/diagnostic-evaluation.
18. Kumar A, Yadav S, Krishnappa RS,
Gautam G, Raghavan N, Bakshi G, Prakash G, Ahluwalia P, Tamankar A, Surekha S,
Kumar N, Kumar S, Mallya A, Saini G, Singhal M, Mavuduru R, Nayak B, Singh P,
Jaipuria J, Kumar V, Rawal SK, Gupta NP. The Urological Society of India
guidelines for the evaluation and management of prostate cancer (executive
summary). Indian J Urol. 2022c;38(4):252-7. Erratum in: Indian J Urol.
2023;39(1):86-7.
19. Keeney E, Thom H, Turner E,
Martin RM, Morley J, Sanghera S. Systematic Review of Cost-Effectiveness Models
in Prostate Cancer: Exploring New Developments in Testing and Diagnosis. Value
Health. 2022;25(1):133-46.
20. McLeod OD, Palsdottir T, Walz J,
Tilki D, Briganti A, Stabile A, Vigmostad MN, Mortezavi A, Elyan A, Dudderidge
T, Govers T, Grönberg H, Vigneswaran H. Cost Analysis of Prostate Cancer Care
Using a Biomarker-enhanced Diagnostic
Strategy with Stockholm. Eur Urol Open Sci. 2024;66:26-32.