Tools
Gleason Score
Definition/Introduction
Prostate cancer is one of the most commonly diagnosed cancers in men. Worldwide, it is the second most common male malignancy (lung cancer is first). In 2018, more than 1.6 million men were diagnosed with prostate cancer globally and over 366,000 died from it.[1] The American Cancer Society has estimated that in 2021 there will be 248,530 new cases diagnosed in the U.S., with 34,130 deaths from the disease. The death rate from prostate cancer significantly dropped from the mid-1990s until 2014 at which point the death rate stabilized.
The highest worldwide incidence of prostate cancer/100,000 population is in the following countries: France, Puerto Rico, Sweden, Norway, Estonia, Barbados, Ireland, Martinique, and Guadaloupe.[2]
Prostate cancer incidence is 80% higher among non-Hispanic Black men compared to non-Hispanic whites. Mortality from prostate cancer among African Americans is roughly double the rate for whites. The reasons for this are unclear but appear to be at least partly related to genetic factors. [3]
Prostate cancer is often clinically indolent, and many times no intervention is required. However, the disease can be very devastating. One of the most lethal progressions of the disease involves osteoblastic bony metastasis. The diagnosis of prostate cancer is suspected when individuals have a hard enlarged prostate or nodule on physical exam as well as an elevated prostate-specific antigen (PSA) level on laboratory analysis. The diagnosis is confirmed with a biopsy and histologic assessment. The Gleason score is the primary initial histologic assessment tool used to grade prostate malignancies and has proven to have significant prognostic value.[3]
Issues of Concern
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Issues of Concern
The Gleason grade is primarily based on the architecture or arrangement of the malignant cells within the tumor as well as other factors such as the degree of differentiation. Since the prostate is a gland, the less glandular the microscopic appearance, the higher the Gleason grade, ranging from 1 to a maximum of 5. A Gleason grade of 1 would appear almost normal while a Gleason grade of 5 would not show any glandular features at all; just sheets of abnormal cells.[4]
The Gleason Score is always a sum of two numbers. These two numbers represent the Gleason grade of the predominant pattern added to the grade of the next most common pattern. If only one Gleason grade is present, then this is doubled. It is usually written as an equation such as 3+4=7. In this example, the predominant grade is pattern 3, the secondary grade would be pattern 4, and the Gleason Score or sum would be 7. If the predominant pattern is grade 4, it would be written as 4+3=7 and would represent a higher overall Gleason Score and a more aggressive grade of malignancy even though the total or would still be the same at 7. If there were a third pattern of higher grade, this number would replace the secondary grade pattern number. A Gleason Score of less than 6 usually indicates indolent cancer that is less likely to be clinically significant. Scores of 8 or greater are generally associated with poorly differentiated tumors with a worse prognosis.[5][6]
In 2014, the International Society of Urological Pathology consensus conference recommended some changes to the Gleason Scoring System. They recommended adding the percentage of Gleason pattern 4 as well as 5 new grades of prostate cancer based on the Gleason Score. These grades would include all Gleason Scores of 6 or less in Grade I, Gleason 3+4=7 in Grade II, Gleason 4+3=7 in Grade III, Gleason 4+4=8 in Grade IV, and all Gleason 9 and 10 in Grade V.[7]
However, despite these advances and guidelines, there remains a considerable difference in Gleason grading, even between experienced pathologists.[8] Computerized analysis programs exist to help standardize Gleason grading, but are only just becoming available commercially.[9] These advanced programs use various combinations of fuzzy logic and other advanced artificial intelligence techniques.[10][11] They are intended to assist the pathologist in grading by providing a more standardized approach to the histological classification of prostate cancer. They are not intended to replace the role of the pathologist; just to serve as an aid.
Additional histological risk factors that are recognized as being independent predictors of prostate cancer aggressiveness but are not currently incorporated into the Gleason scoring system include:[12]
- Presence of any Gleason Grade 5 tissue, even very minor
- Percentage of Gleason Grade 4 in the specimen
- Invasive Gleason Grade 4 cribriform pattern and/or intraductal carcinoma
Another issue involves the development of subpatterns of Gleason Grade 4. In many cases, it can be challenging to differentiate ill-formed and/or fused glands from the less aggressive Grade 3 pattern. This differentiation can be critical in determining which patients might be eligible for active surveillance or deferred therapy from those who should proceed directly with definitive, curative treatment.[13] There is also concern that the Gleason Grade 4 cribriform subpattern may have a more significant negative prognostic impact than other patterns of the same Gleason grade.[14] If a positive margin is found in a radical prostatectomy specimen, a separate Gleason Score should be obtained as it has been shown to be predictive of the time until biochemical recurrence.[15]
Several prognostic nomograms are available that utilize the PSA level, Gleason Score, and clinical staging to assist in patient counseling by helping better classify risk aggressiveness, particularly in borderline cases. These include the Partin tables from Johns Hopkins University, the Memorial Sloan Kettering Cancer Center (MSKCC) nomograms, and the Cancer of the Prostate Risk Assessment (CAPRA) score from the University of California at San Francisco.[16][17][18] (These nomograms can be accessed for free at the website of their respective academic institutions.)
Immunohistochemistry is another promising area of research that could suggest which Gleason grade 3 patients are more likely to progress or upgrade to more aggressive histology, which could be very helpful clinically in patients who are potential candidates for active surveillance. Early indications are that overexpression of Ki67 could indicate a higher risk of Gleason grade progression.[19]
Substantial rates of pathological misclassification and unexpected upgrading at surgery suggest the need for improved use and development of prostatic biomarker technology as for many men PSA levels and Gleason scores alone are insufficient.[20] Tissue-based biomarkers are now commercially available that are intended to provide additional guidance in risk stratification in cases where there is a confirmed histological diagnosis of prostate cancer and tissue available for further testing.[18]
- ConfirmMDx evaluates the methylation status of three genes. It is intended to identify the likelihood of prostate cancer on a repeat biopsy when the original biopsy is negative. It is useful in men at risk for cancer who had an initial negative biopsy.
- Prolaris utilizes the RNA expression levels of 31 genes. It provides a 10-year risk of biochemical recurrence and cancer-specific mortality. It is intended to help decide on active surveillance vs definitive therapy in borderline cases of localized disease. It can also be used prognostically after radical prostatectomy.
- Decipher uses the RNA expression levels of 22 genes. It gives a 5-year risk of metastasis, a 10-year risk of prostate cancer-specific mortality, and the likelihood of finding high-grade cancer on radical prostatectomy. It is useful in men with localized prostate cancer. Like Prolaris, it can be used as a prognostic aid after radical prostatectomy surgery, particularly for those with clinical high-risk findings at surgery or with higher risk histology.
- OncotypeDx measures the RNA expression level of 12 genes. It provides an estimate of the likelihood of finding only organ-confined disease after radical prostatectomy. It is intended for men with very low and low risk localized prostate cancer.
- ProMark looks at the quantitative levels of eight specific protein markers. It is typically used to predict the likelihood of finding Gleason Grade Group III or higher histology after radical prostatectomy. It also predicts finding disease that is not organ-confined. It is most useful in men with Gleason Grade Group I or II on initial biopsy.
New genes related to prostate cancer are constantly being identified. A recent study identified 250 genes that had different expressions between normal and cancerous prostate cells. Of these, 161 had not previously been associated with prostate cancer, 39 demonstrated anti-tumoral activity, and 22 genes were newly identified as contributing to tumor growth, metastatic potential, and proliferation.[21] It is likely that some new combination of these and existing tissue biomarkers will ultimately prove to be superior predictors of outcomes and prognosis in patients considering prostate cancer treatment options.[21][22] But this all started with the establishment of the Gleason Score as the key initial prognostic, histological classification tool.
Clinical Significance
The Gleason score is essential in determining the prognosis of prostatic malignancies; however, it is not absolute. The Gleason score is subject to interpretation and individual pathologists vary in their evaluations and assessments. Artificial intelligence programs have been developed to assist in more accurate, reliable, and consistent prostate cancer grading but these are not yet in widespread use.[9]
Other factors are also important in establishing the prognosis of prostate cancer. A rapidly increasing PSA is generally indicative of a poorer prognosis as is osteopontin expression.[23] This is usually described as "PSA doubling time". A PSA doubling time of fewer than 2 years is worrisome and suggests the need for further treatment. The shorter the doubling time, the higher the risk and the faster the cancer growth rate. A free PSA doubling time calculator is available online at mdcalc.com.
Physical exam findings indicating a very hard, extensive prostate, may also indicate more advanced disease and a poorer prognosis. Tumor staging is based on radiographic assessment (evidence of nodal or metastatic disease) and is also used to assess the prognosis.[5][6] But everything starts with the PSA level for initial cancer screening and the Gleason score as the key, initial prognostic histological classification tool.[4][24]
Nursing, Allied Health, and Interprofessional Team Interventions
Nursing professionals who work in areas with exposure to male health issues should have a good understanding of the Gleason score and how it applies to prostatic cancers. This will enable them to contribute to the necessary surveillance and evaluation of prostate cancer patients and strengthen their interprofessional communication with the other healthcare team members in treating these patients.
References
Rawla P. Epidemiology of Prostate Cancer. World journal of oncology. 2019 Apr:10(2):63-89. doi: 10.14740/wjon1191. Epub 2019 Apr 20 [PubMed PMID: 31068988]
Lin SC, Yu-Lee LY, Lin SH. Osteoblastic Factors in Prostate Cancer Bone Metastasis. Current osteoporosis reports. 2018 Dec:16(6):642-647. doi: 10.1007/s11914-018-0480-6. Epub [PubMed PMID: 30203251]
Mattiuzzi C, Lippi G. Current Cancer Epidemiology. Journal of epidemiology and global health. 2019 Dec:9(4):217-222. doi: 10.2991/jegh.k.191008.001. Epub [PubMed PMID: 31854162]
Gleason DF. Classification of prostatic carcinomas. Cancer chemotherapy reports. 1966 Mar:50(3):125-8 [PubMed PMID: 5948714]
Gordetsky J, Epstein J. Grading of prostatic adenocarcinoma: current state and prognostic implications. Diagnostic pathology. 2016 Mar 9:11():25. doi: 10.1186/s13000-016-0478-2. Epub 2016 Mar 9 [PubMed PMID: 26956509]
Pierorazio PM, Walsh PC, Partin AW, Epstein JI. Prognostic Gleason grade grouping: data based on the modified Gleason scoring system. BJU international. 2013 May:111(5):753-60. doi: 10.1111/j.1464-410X.2012.11611.x. Epub 2013 Mar 6 [PubMed PMID: 23464824]
Level 2 (mid-level) evidenceEpstein JI, Egevad L, Amin MB, Delahunt B, Srigley JR, Humphrey PA, Grading Committee. The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma: Definition of Grading Patterns and Proposal for a New Grading System. The American journal of surgical pathology. 2016 Feb:40(2):244-52. doi: 10.1097/PAS.0000000000000530. Epub [PubMed PMID: 26492179]
Level 3 (low-level) evidenceDere Y, Çelik ÖI, Çelik SY, Ekmekçi S, Evcim G, Pehlivan F, Ağalar A, Deliktaş H, Çulhacı N. A grading dilemma; Gleason scoring system: Are we sufficiently compatible? A multi center study. Indian journal of pathology & microbiology. 2020 Feb:63(Supplement):S25-S29. doi: 10.4103/IJPM.IJPM_288_18. Epub [PubMed PMID: 32108622]
Steiner DF, Nagpal K, Sayres R, Foote DJ, Wedin BD, Pearce A, Cai CJ, Winter SR, Symonds M, Yatziv L, Kapishnikov A, Brown T, Flament-Auvigne I, Tan F, Stumpe MC, Jiang PP, Liu Y, Chen PC, Corrado GS, Terry M, Mermel CH. Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies. JAMA network open. 2020 Nov 2:3(11):e2023267. doi: 10.1001/jamanetworkopen.2020.23267. Epub 2020 Nov 2 [PubMed PMID: 33180129]
Bulten W, Kartasalo K, Chen PC, Ström P, Pinckaers H, Nagpal K, Cai Y, Steiner DF, van Boven H, Vink R, Hulsbergen-van de Kaa C, van der Laak J, Amin MB, Evans AJ, van der Kwast T, Allan R, Humphrey PA, Grönberg H, Samaratunga H, Delahunt B, Tsuzuki T, Häkkinen T, Egevad L, Demkin M, Dane S, Tan F, Valkonen M, Corrado GS, Peng L, Mermel CH, Ruusuvuori P, Litjens G, Eklund M, PANDA challenge consortium. Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge. Nature medicine. 2022 Jan:28(1):154-163. doi: 10.1038/s41591-021-01620-2. Epub 2022 Jan 13 [PubMed PMID: 35027755]
Checcucci E, Rosati S, De Cillis S, Vagni M, Giordano N, Piana A, Granato S, Amparore D, De Luca S, Fiori C, Balestra G, Porpiglia F. Artificial intelligence for target prostate biopsy outcomes prediction the potential application of fuzzy logic. Prostate cancer and prostatic diseases. 2022 Feb:25(2):359-362. doi: 10.1038/s41391-021-00441-1. Epub 2021 Sep 3 [PubMed PMID: 34480083]
Seyrek N, Hollemans E, Andrinopoulou ER, Osanto S, Pelger RCM, van der Poel HG, Bekers E, Remmers S, Schoots IG, van Leenders GJLH. Alternative prostate cancer grading systems incorporating percent pattern 4/5 (IQ-Gleason) and cribriform architecture (cGrade) improve prediction of outcome after radical prostatectomy. Virchows Archiv : an international journal of pathology. 2022 Jun:480(6):1149-1157. doi: 10.1007/s00428-022-03301-y. Epub 2022 Feb 14 [PubMed PMID: 35157140]
Kweldam CF, van Leenders GJ, van der Kwast T. Grading of prostate cancer: a work in progress. Histopathology. 2019 Jan:74(1):146-160. doi: 10.1111/his.13767. Epub [PubMed PMID: 30565302]
Haffner MC, Salles DC, Gao G, Epstein JI. Gleason pattern 4 with cribriform morphology on biopsy is associated with adverse clinicopathological findings in a prospective radical prostatectomy cohort. Human pathology. 2020 Apr:98():74-80. doi: 10.1016/j.humpath.2020.02.004. Epub 2020 Feb 28 [PubMed PMID: 32119879]
Kurose H, Ueda K, Ogasawara N, Chikui K, Nakiri M, Nishihara K, Matsuo M, Suekane S, Kusano H, Akiba J, Yano H, Igawa T. Impact of Gleason score of the tumor at the positive surgical margin as a prognostic factor. Molecular and clinical oncology. 2022 Apr:16(4):82. doi: 10.3892/mco.2022.2515. Epub 2022 Feb 10 [PubMed PMID: 35251633]
Stephenson AJ, Scardino PT, Eastham JA, Bianco FJ Jr, Dotan ZA, DiBlasio CJ, Reuther A, Klein EA, Kattan MW. Postoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy. Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 2005 Oct 1:23(28):7005-12 [PubMed PMID: 16192588]
Zhao KH, Hernandez DJ, Han M, Humphreys EB, Mangold LA, Partin AW. External validation of University of California, San Francisco, Cancer of the Prostate Risk Assessment score. Urology. 2008 Aug:72(2):396-400. doi: 10.1016/j.urology.2007.11.165. Epub 2008 Apr 18 [PubMed PMID: 18372031]
Level 1 (high-level) evidenceBasourakos SP, Tzeng M, Lewicki PJ, Patel K, Al Hussein Al Awamlh B, Venkat S, Shoag JE, Gorin MA, Barbieri CE, Hu JC. Tissue-Based Biomarkers for the Risk Stratification of Men With Clinically Localized Prostate Cancer. Frontiers in oncology. 2021:11():676716. doi: 10.3389/fonc.2021.676716. Epub 2021 May 28 [PubMed PMID: 34123846]
Caputo A, D'Antonio A, Memoli D, Sabbatino F, Altieri V, Zeppa P. Ki67 in Gleason Pattern 3 as a Marker of the Presence of Higher-Grade Prostate Cancer. Applied immunohistochemistry & molecular morphology : AIMM. 2021 Feb 1:29(2):112-117. doi: 10.1097/PAI.0000000000000835. Epub [PubMed PMID: 32107350]
Liakos N, Witt JH, Rachubinski P, Leyh-Bannurah SR. The Dilemma of Misclassification Rates in Senior Patients With Prostate Cancer, Who Were Treated With Robot-Assisted Radical Prostatectomy: Implications for Patient Counseling and Diagnostics. Frontiers in surgery. 2022:9():838477. doi: 10.3389/fsurg.2022.838477. Epub 2022 Feb 16 [PubMed PMID: 35252339]
Díaz de la Guardia-Bolívar E, Barrios-Rodríguez R, Zwir I, Jiménez-Moleón JJ, Del Val C. Identification of novel prostate cancer genes in patients stratified by Gleason classification: Role of antitumoral genes. International journal of cancer. 2022 Jul 15:151(2):255-264. doi: 10.1002/ijc.33988. Epub 2022 Mar 18 [PubMed PMID: 35234293]
Santo GD, Frasca M, Bertoli G, Castiglioni I, Cava C. Identification of key miRNAs in prostate cancer progression based on miRNA-mRNA network construction. Computational and structural biotechnology journal. 2022:20():864-873. doi: 10.1016/j.csbj.2022.02.002. Epub 2022 Feb 7 [PubMed PMID: 35222845]
Yu A, Guo K, Qin Q, Xing C, Zu X. Clinicopathological and prognostic significance of osteopontin expression in patients with prostate cancer: a systematic review and meta-analysis. Bioscience reports. 2021 Aug 27:41(8):. doi: 10.1042/BSR20203531. Epub [PubMed PMID: 33635319]
Level 2 (mid-level) evidenceDavid MK, Leslie SW. Prostate Specific Antigen. StatPearls. 2024 Jan:(): [PubMed PMID: 32491427]