Materials and Methods: This study was conducted on 117 patients who all underwent open radical prostatectomy in our institution between 2011 and 2020. Patients who received neoadjuvant therapy prior to surgery and had metastasis in lymph nodes or bones were excluded from the study.
Results: In 28 (23.9%) cases ISUP GG had upgraded in final pathology. While grade group of 81 (69.2%) patients did not change, it was downgraded in the remaining 8 (6.8%) cases. In the univariate analysis for the predictors of ISUP GG upgrade, ISUP GG distribution in biopsy pathology (OR: 0.46, 95% CI: 0.26-0.82, p=0.009), positive core fraction (PCF) (OR: 0.07, 95% CI 0.01-0.85, p=0.037), greatest positive core percentage (GPC) (OR: 0.12, 95% CI: 0.02- 0.68, p=0.016) and extraprostatic invasion extended (EPI-extended) (OR: 2.95, 95% CI: 1.16- 7.49, p=0.023) were all identified as significant factors. When these significant factors were analyzed in multivariate logistic regression analysis, biopsy ISUP grade (OR: 0.38, 95% CI: 0.18-0.79, p=0.01), greatest percentage of cancer (GPC) (OR: 0.10, 95% CI 0.01-0.78, p=0.027) and EPI-extended (OR 14.9, 95% CI:3.1-71.9, p=0.01) were shown as independent predictors.
Conclusion: ISUP GGs of a significant number of patients upgrade in the final pathology. Initial biopsy ISUP score and greatest positive core percentage in the biopsy are independent predictors of ISUP GG upgrade risk. EPI-extended was also significantly higher in ISUP upgrade group. Tumor upgrade risk should be considered prior to prostate cancer treatment.
The primary aim of this study is the determination of ISUP GG upgrading prevalence and its risk factors in a group of cases who underwent prostate needle biopsy or radical prostatectomy. Investigation of prostate cancer grade group upgrading using a relatively recent system (ISUP 14 GG) encompassing all risk groups is the essence of this article.
Postoperative pathology reports were used for this retrospective analysis without re-examining pathology slides. Histopathologic examinations of all the surgical, and the majority of the needle biopsy specimens were performed in our institution by the same pathologists. Our analysis included external needle biopsy specimens having at least 12 biopsy cores in which number of positive cores and tumor length/percentage, Gleason grades and patterns were recorded. Assessment of pathologies was performed according to Gleason score classification, including primary and secondary Gleason patterns. Pathologies were also stratified according to the new ISUP 2014 grading group system [11]. Any transition from lower ISUP group to a higher one was accepted as ISUP GG upgrading. Needle biopsy pathology parameters may be listed as: ISUP grade grouping (determined from Gleason grades recorded in the original pathology reports), number of positive cores (PCN), positive core fraction (PCF: number of positive cores/total number of cores), extended PCF (PCF >50%), greatest percentage of cancer cells in a single core (GPC), total sum of positive core percentages (TPC), biopsy core ratio of percentages (BCR%: TPC/ (Core number x100)), total core length with cancer (TCL), biopsy core ratio of length (BCR mm: TCL/total biopsy length in mm) and absence/presence of prostatic intraepithelial neoplasia (PIN) and high grade PIN (HGPIN). Postoperative pathology parameters included ISUP grade grouping, weight of the specimen, calculated volume (volumetric calculation from the 3 dimensions of prostate specimen in cc, presence/absence of PIN and HGPIN, extraprostatic capsule invasion (EPI) and extended EPI (EPIe), seminal vesicle invasion (SVI), lymphovascular invasion (LVI), apex invasion, bladder neck invasion (BNI), lymph node metastasis [13,14]. Unilateral/bilateral nature of the cancer was assessed in histopathological examinations of both biopsy and surgical specimens. Patients with ≤pT2 and ≥pT3 tumors detected in surgical specimens were classified as cases with local and locally advanced prostate cancers, respectively.
Statistical Method
Statistical analysis was performed with IBM SPSS Statistics
15.0.0 (Chicago, IL). Descriptive analysis of categorical
parameters was reported as numbers and percentages while
continuous data were given either as mean and standard
deviations (SD) or median and interquartile range (IQR) for
variables with normal and abnormal distribution, respectively.
In cases of abnormal distribution, numerical differences between
two dependent groups were estimated with Mann-Whitney U
test. In case of normal distribution, numerical differences were
compared by independent samples t-test. Ratio differences
between two dependent groups were compared by McNemar and
McNemar-Bowker tests. Correlation of nonparametric numerical
variables was determined using Spearman correlation analysis.
Binary univariate and multivariate logistic regression analysis
was utilized in order to estimate predictive factors. Fraction and
ratios were sometimes expressed as a number fraction between
0, and 1 and sometimes as a percentage. Statistical significance
was assumed in cases of p<0.05.
Table 1: The overall patient and pathology characteristics
The distribution of ISUP grade groups detected in biopsy specimens in the indicated number of patients was as follows: GG 1, n=38 (32%); GG 2, n=49 (31.9%); GG 3, n=21 (17.9%); GG 4, n=8 (6.8%, and GG 5, n=1 (0.9%), while their distribution in surgical pathology specimens of these patients changed as shown: GG 1, n=23 (19.7%); GG 2, n=57 (48.7%); GG 3, n=25 (21.4%); GG 4, n=7 (6.0%), and GG 5, n=5 (4.3%). The difference in ISUP GG distribution estimated for biopsy, and surgical pathology specimens was statistically significant (p=0.03). In other words, in 28 (23.9%) cases, ISUP upgrading was observed in the final surgical pathology compared to biopsy pathology. Furthermore, there was no change in ISUP scores in 81 (69.23%) patients, and downgrading was observed in the final pathology scores in 8 (6.84%) cases (Table 2).
Table 2: The distribution of ISUP Gleason groups in biopsy and surgery pathologies
When the patients were classified into ISUP upgrading (Group 2) and non-upgrading (Group 1) groups, which also included downgraded cases; groups 1 and 2 had 89 (76.1%) and 28 (23.9%) patients, respectively. These two groups were compared using chi-square, and Mann-Whitney U tests, and statistically significant intergroup differences were found as for the distribution of ISUP GGs (p=0.01), positive core fractions, greatest percentage of cancer and EPI extended. PCF (33% vs 25%, p=0.05) and GPC (70% vs 45%, p=0.01) were both statistically lower in the upgrading group, while EPI extended was detected in significantly higher rates in the upgrading group (18.0% vs 39.3%, p=0.02). In the univariate analysis of the same parameters in biopsy pathology specimens, ISUP GG All the continuous data with abnormal distribution according to Kolmogorov-Smirnov and Shapiro-Wilk test were expressed as median value and interquartile range. Interquartile range in parenthesis were the 25th and 75th percentile values of the data. US: ultrasound; BCR mm: biopsy core ratio of length (total positive core length in mm/total core length); BCR%: biopsy core ratio of percentages (BCR%: TPC/ (core number x100)); ISUP GG: international society of urological pathology 2014 grade group; PIN: prostatic intraepithelial neoplasia; HGPIN: high grade PIN; EPI: extra prostatic capsule invasion; SVI: seminal vesicle invasion; LVI: lenfo-vascular invasion; BNI: bladder neck invasionw distribution (OR 0.46, 95% CI 0.26-0.82, p=0.009), positive core fraction (PCF) (OR 0.07, 95% CI 0.01-0.85, p=0.037) greatest positive core percentage (OR 0.12, 95% CI 0.02-0.68, p=0.016) and extraprostatic invasion extension (EPI-extended) (OR 2.95, 95% CI 1.16-7.49, p=0.023) were all identified as significant factors (Table 3). When these significant factors were analyzed in multivariate logistic regression analysis (backward method), biopsy ISUP grade (OR 0.38, 95% CI 0.18-0.79, p=0.01), GPC (OR 0.10, 95% CI 0.01-0.78, p=0.027) and EPI extended (OR 14.9, 95% CI 3.1-71.9, p=0.01) were shown as the independent predictors of ISUP GG upgrade from biopsy to surgery (Table 4).
Table 4: Binary logistic regression analysis for ISUP upgrade (univariate and multivariate)
In the light of all these developments, we deemed the usage of ISUP GG system to assess the Gleason grade upgrade from biopsy to surgery. Furthermore, accurate GG identification is necessary not only for the decision of active surveillance and definitive treatment but also for the correct risk stratification of the cancer, informing patient and planning the definitive posttreatment options in advance. As a result, we preferred to report GG upgrading in a heterogeneous cohort who underwent open radical prostatectomy in our hospital. ISUP GG upgrade was observed in 23.9% of our 117 patients. While in our univariate analysis, biopsy ISUP grade, PCF and GPC were significant parameters, only biopsy ISUP GG and GPC kept their significance in the multivariate analysis. In addition, extended EPIe was the only significant surgical pathology parameters which was significantly associated with upgrading in both univariate and multivariate analysis.
Independent predictors of pathology grade upgrading identified in different studies may be listed as non-white race, older age, higher PSA levels, cancer positive biopsy fraction, prostate volume, prostate density and tumor percentage of >50% per core [18-23]. In a recent study, cancer upgrade has been shown to have a positive correlation with increased levels of TNF-alpha and a negative correlation with high levels of IL-6 [24]. In an article by Epstein al., GS upgrading from <6 to a higher grade happened in 36.3% of 7643 cases [4]. Even after multidisciplinary consultations, tumor upgrades remained high ranging from 43% to 63.8% [20,21]. In their study of 7643 patients, they identified increasing age, PSA levels, maximum percentage of cancer, per core number and decreasing radical prostatectomy specimen weight as predictors of biopsy upgrade from GS of 5-6 (ISUP 1). Greatest percentage of prostate cancer, showing the extension of the tumor in prostate was identified as a significant predictor of upgrading in our investigation, similar to other studies [4,21,23,25]. In a multicenter study of 1159 patients, PSA levels, percent of positive biopsy cores and small prostate volumes were suggested as predictive factors for upgrading [23]. Schiffmann et al. indicated tumor involvement per core (>50%) as the most strong predictor for upgrading besides the number of positive cores, PSA values and age in their study of 1331 cases [21]. Although positive core fraction could not keep its significance in our multivariate analysis, several studies reported it as a significant predictor [4,18,21]. In another study by Brasetti et al., GG upgrade was reported in 41.4% of the patients with a number of positive biopsy cores and PSA density as the predictors [26]. The relation between positive cores and upgrade of GG 1 cancers was confirmed again in a study of 1966 patients with an upgrade rate of 40% and 59% for very low and low-risk cancers, respectively [27]. Finally Capitanio et al., reported that Gleason upgrade rate was reduced by half (23.5% vs 47.9%, p<0.001) when greater number of biopsy cores were obtained (18 cores vs 10-12 cores) [28].
Extended extraprostatic extension (EPIe) was the only significantly associated surgical pathology factor with upgrading in our study. When compared with the non-upgrading group other factors such as SVI (6.8% vs 14.3%), LVI (4.1% vs 9.1%), lymph node positivity (3.9% vs 12%), and surgical pT3 vs pT2 (37.1% vs 50%) showed much higher prevalence in the upgrading group, without any statistical significance. Tilki et al. demonstrated a significantly higher prevalence of these factors (EPE, SVI, LVI, margin positivity) in the upgrading group [5]. In another study by Abedi et al., 32.8% of patients had a Gleason score upgrade, and also they histopathologically detected significantly higher rates of EPI, SVI and positive lymph node invasion in surgical specimens [16]. These results support the idea that Gleason score upgrading in PCa indicates a tendency to become invasive/locally advanced cancers. Some of our results might not attain a level of statistical significance probably due to limited number of patients, but may achieve statistical significance if the study could be performed with larger number of patients.
Limitations of this study are its retrospective nature, inclusion of pathology reports of multiple surgeons and pathologists in the study. The relatively subjective sampling procedure of needle biopsy, especially when performed by different surgeons, may increase heterogeneity of the biopsy group. While all of our identified predictive parameters (PCF, GPC, EPIe) are in accordance with literature, the rates of PCF and GPC were paradoxically lower in the upgrade group. While this finding is in contrast with previous literature which indicates high volume/ extension of tumor leads to tumor upgrading, our data is consistent in its own accord. Total tumor length, BCR% and BCR mm were also lower in the upgrade group in addition to PCF and GPC. As a hypothesis, this discrepancy might be due to the inclusion of all risk groups instead of only lower tier ones. Otherwise, this might also be due to accurate identification of Gleason grade in the biopsy as a result of higher cancer tissue available.
Ethics Committee Approval: The ethical principles were designed under Helsinki Declaration and the study was approved by University of Health Sciences, Sisli Hamidiye Etfal Training and Research Hospital, Clinical Research Ethical Board at 2021 (16.02.2021/3156).
Informed Consent: An informed consent was obtained from all the patients for research.
Publication: The results of the study were not published in full or in part in form of abstracts.
Peer-review: Externally and internally peer-reviewed.
Authorship Contributions: All authors contributed in equal to the publication of this article. Concept- E.S., H.C.D., O.T.E.; Design- E.S., H.C.D., O.T.E.; Supervision- E.S., H.C.D., O.T.E.; Resources- E.S., H.C.D., O.T.E.; Materials- E.S., H.C.D., O.T.E.; Data Collection and/or Processing- E.S., H.C.D., O.T.E.; Analysis and/or Interpretation- E.S., H.C.D., O.T.E.; Literature Search- E.S., H.C.D., O.T.E.; Writing Manuscript- E.S., H.C.D., O.T.E.; Critical Review- E.S., H.C.D., O.T.E.
Conflict of interest: There is no conflict of interests between the authors and/or family members of the medical committee members and any firm.
Financial Disclosure: This study was not financially supported by any pharmaceutical, medical company, or any kind or organization.
1) Ferlay J, Steliarova-Foucher E, Lortet-Tieulent J, Rosso
S, Coebergh JW, Comber H, et al. Cancer incidence and
mortality patterns in Europe: estimates for 40 countries in
2012. Eur J Cancer 2013;49:1374-403.
https://doi.org/10.1016/j.ejca.2012.12.027.
2) Mottet N, Bellmunt J, Bolla M, Briers E, Cumberbatch
MG, De Santis M, et al. EAU-ESTRO-SIOG Guidelines
on Prostate Cancer. Part 1: Screening, Diagnosis, and Local
Treatment with Curative Intent. Eur Urol 2017;71:618-29.
https://doi.org/10.1016/j.eururo.2016.08.003.
3) Sanda MG, Cadeddu JA, Kirkby E, Chen RC, Crispino T,
Fontanarosa J, et al. Clinically Localized Prostate Cancer:
AUA/ASTRO/SUO Guideline. Part I: Risk Stratification,
Shared Decision Making, and Care Options. J Urol
2018;199:683-90.
https://doi.org/10.1016/j.juro.2017.11.095.
4) Epstein JI, Feng Z, Trock BJ, Pierorazio PM. Upgrading
and downgrading of prostate cancer from biopsy to radical
prostatectomy: incidence and predictive factors using the
modified Gleason grading system and factoring in tertiary
grades. Eur Urol 2012;61:1019-24.
https://doi.org/10.1016/j.eururo.2012.01.050.
5) Tilki D, Schlenker B, John M, Buchner A, Stanislaus
P, Gratzke C, et al. Clinical and pathologic predictors
of Gleason sum upgrading in patients after radical
prostatectomy: results from a single institution series. Urol
Oncol 2011;29:508-14.
https://doi.org/10.1016/j.urolonc.2009.07.003.
6) De Nunzio C, Pastore AL, Lombardo R, Simone G,
Leonardo C, Mastroianni R, et al. The new Epstein gleason
score classification significantly reduces upgrading in
prostate cancer patients. Eur J Surg Oncol 2018;44:835-9.
https://doi.org/10.1016/j.ejso.2017.12.003.
7) Chun FK, Briganti A, Shariat SF, Graefen M, Montorsi F,
Erbersdobler A, et al. Significant upgrading affects a third of
men diagnosed with prostate cancer: predictive nomogram
and internal validation. BJU Int 2006;98:329-34.
https://doi.org/10.1111/j.1464-410X.2006.06262.x.
8) Leyh-Bannurah SR, Dell"Oglio P, Tian Z, Schiffmann J,
Shariat SF, Suardi N, et al. A proposal of a new nomogram
for predicting upstaging in contemporary D"Amico lowrisk
prostate cancer patients. World J Urol 2017;35:189-97.
https://doi.org/10.1007/s00345-016-1863-x.
9) Davaro F, Weinstein D, Wong R, Siddiqui S, Hinyard L,
Hamilton Z. Increasing rate of pathologic upgrading in
low risk prostate cancer patients in the active surveillance
era. Can J Urol 2022;29:11059-66.
https://pubmed.ncbi.nlm.nih.gov/35429423/.
10) . Pierorazio PM, Walsh PC, Partin AW, Epstein JI. Prognostic
Gleason grade grouping: data based on the modified
Gleason scoring system. BJU Int 2013;111:753-60.
https://doi.org/10.1111/j.1464-410X.2012.11611.x.
11) . Epstein JI, Egevad L, Amin MB, Delahunt B, Srigley
JR, Humphrey PA. 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.
Am J Surg Pathol 2016;40:244-52.
https://doi.org/10.1097/PAS.0000000000000530.
12) Epstein JI, Zelefsky MJ, Sjoberg DD, Nelson JB, Egevad
L, Magi-Galluzzi C, et al. A Contemporary Prostate Cancer
Grading System: A Validated Alternative to the Gleason
Score. Eur Urol 2016;69:428-35.
https://doi.org/10.1016/j.eururo.2015.06.046.
13) Magi-Galluzzi C, Evans AJ, Delahunt B, Epstein JI,
Griffiths DF, van der Kwast TH, et al. International Society
of Urological Pathology (ISUP) Consensus Conference
on Handling and Staging of Radical Prostatectomy
Specimens. Working group 3: extraprostatic extension,
lymphovascular invasion and locally advanced disease.
Mod Pathol 2011;24:26-38.
https://doi.org/10.1038/modpathol.2010.158.
14) Karabulut YY. Interpreting a Radical Prostatectomy
Report. Journal of Urological Surgery. 2019;6:168-71.
https://doi.org/10.4274/jus.galenos.2019.2578.
15) Srigley JR, Delahunt B, Samaratunga H, Billis A, Cheng
L, Clouston D, et al. Controversial issues in Gleason and
International Society of Urological Pathology (ISUP)
prostate cancer grading: proposed recommendations for
international implementation. Pathology 2019;51:463-73.
https://doi.org/10.1016/j.pathol.2019.05.001.
16) Abedi AR, Basiri A, Shakhssalim N, Sadri G, Ahadi M,
Hojjati SA, et al. The Discrepancy between Needle Biopsy
and Radical Prostatectomy Gleason Score in Patients with
Prostate Cancer. Urol J 2020;18:395-9.
https://doi.org/10.22037/uj.v16i7.5985.
17) Epstein JI, Allsbrook WC Jr, Amin MB, Egevad LL. The
2005 International Society of Urological Pathology (ISUP)
Consensus Conference on Gleason Grading of Prostatic
Carcinoma. Am J Surg Pathol 2005;29:1228-42.
https://doi.org/10.1097/01.pas.0000173646.99337.b1.
18) Porcaro AB, Inverardi D, Corsi P, Sebben M, Cacciamani
G, Tafuri A, et al. Prostate-specific antigen levels and
proportion of biopsy positive cores are independent
predictors of upgrading patterns in low-risk prostate
cancer. Minerva Urol Nefrol 2020;72:66-71.
https://doi.org/10.23736/S0393-2249.18.03172-7.
19) Omri N, Kamil M, Alexander K, Alexander K, Edmond
S, Ariel Z, et al. Association between PSA density and
pathologically significant prostate cancer: The impact of
prostate volume. Prostate 2020;80:1444-9.
https://doi.org/10.1002/pros.24078.
20) Caster JM, Falchook AD, Hendrix LH, Chen RC. Risk
of Pathologic Upgrading or Locally Advanced Disease in
Early Prostate Cancer Patients Based on Biopsy Gleason
Score and PSA: A Population-Based Study of Modern
Patients. Int J Radiat Oncol Biol Phys 2015;92:244-51.
https://doi.org/10.1016/j.ijrobp.2015.01.051.
21) Schiffmann J, Wenzel P, Salomon G, Budäus L, Schlomm
T, Minner S, et al. Heterogeneity in D"Amico classificationbased
low-risk prostate cancer: Differences in upgrading
and upstaging according to active surveillance eligibility.
Urol Oncol 2015;33:329.e13-9.
https://doi.org/10.1016/j.urolonc.2015.04.004.
22) Porcaro AB, Siracusano S, de Luyk N, Corsi P, Sebben
M, Tafuri A, et al. Low-Risk Prostate Cancer and Tumor
Upgrading in the Surgical Specimen: Analysis of Clinical
Factors Predicting Tumor Upgrading in a Contemporary
Series of Patients Who were Evaluated According to
the Modified Gleason Score Grading System. Curr Urol
2017;10:118-25.
https://doi.org/10.1159/000447164.
23) Hwang I, Lim D, Jeong YB, Park SC, Noh JH, Kwon
DD, et al. Upgrading and upstaging of low-risk prostate
cancer among Korean patients: a multicenter study. Asian
J Androl 2015;17:811-4.
https://doi.org/10.4103/1008-682X.143751.
24) Zhou J, Chen H, Wu Y, Shi B, Ding J, Qi J. Plasma IL-6 and
TNF-α levels correlate significantly with grading changes
in localized prostate cancer. Prostate 2022;82:531-9.
https://doi.org/10.1002/pros.24299.
25) Verep S, Erdem S, Ozluk Y, Kilicaslan I, Sanli O,
Ozcan F, et al. The pathological upgrading after radical
prostatectomy in low-risk prostate cancer patients who are
eligible for active surveillance: How safe is it to depend on
bioptic pathology? Prostate 2019;79:1523-9.
https://doi.org/10.1002/pros.23873.
26) Brassetti A, Lombardo R, Emiliozzi P, Cardi A, Antonio
V, Antonio I, et al. Prostate-specific Antigen Density Is a
Good Predictor of Upstaging and Upgrading, According
to the New Grading System: The Keys We Are Seeking
May Be Already in Our Pocket. Urology 2018;111:129-35.
https://doi.org/10.1016/j.urology.2017.07.071.