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A. Villers et al.
GG1 tumors could be dened as index lesions. The histologic grading and the concept of index lesion as a driver of cancer progression are addressed in separate chapters of this textbook (Identifying and Characterizing the Index Lesion. The Role of Molecular Techniques to Distinguish Low Grade from Lethal Cancers).
The validation of selection criteria such as tumor volume and grade can be assessed in two ways: (1) assessing outcomes of FT series at 1 year through per-protocol MRI and biopsies during follow-up or (2) assessing cases treated by radical prostatectomy specimens and retrospec­tively applying eligibility criteria for FT.
1. Assessing outcomes of FT series at 1year by
per-protocol MRI, biopsies, and during fol­low- up. In a review of HIFU studies, a median of 85% of patients with no clinically signi­cant cancer in the treated area was reported [4]. In a multicenter UK cohort of 1379 patients with a median follow-up of 32 (17–58) months, 7-year failure-free survival dened as avoidance of no evidence of dis­ease to require salvage whole-gland or sys­temic treatment or metastases was in intermediate- and high-risk cancers 68% (95% [CI] 62–75%) and 65% (95% CI 56–74%; p = 0.3), respectively. Thirty-nine patients received ADT after focal therapy associated with salvage therapy, and three patients developed metastases.
2. Assessing radical prostatectomy specimens
for which, cases were retrospectively selected for FT. A European multicenter cohort of patients who underwent MRI-targeted and systematic biopsies followed by radical pros­tatectomy was studied [5]. The Imperial College of London eligibility criteria for FT were applied: (1) unifocal MRI lesion with Prostate Imaging Reporting and Data System score of 3–5; (2) prostate-specic antigen (PSA) 20ng/ml; (3) cT2–3a stage on MRI; and (4) International Society of Urological Pathology grade group (GG) 1 and 6mm or GG 2–3. A total of 334 patients were included. The primary outcome was unfavorable dis­ease at RP, dened as GG 4, and/or lymph
node invasion, and/or seminal vesicle inva­sion, and/or contralateral clinically signicant cancer. Overall, 43 patients (13%) had unfa­vorable disease on RP pathology. The model (novel nomogram predicting the probability of unfavorable disease at radical prostatec­tomy) included PSA, clinical stage on digital rectal examination, maximum lesion diameter on MRI, and had an AUC of 73%. The addi­tion of other MRI or biopsy information did not signicantly improve the model performance.
Role ofSpatial Distribution ofCancers According totheZone ofOrigin andVolume
Modeling studies estimate that approximately 30% of low-volume cancers are located anteri­orly [6]. Anterior cancers originate in the transi­tion zone (TZ), and these may be compressed further anteriorly during benign prostatic hyper­plastic (BPH) growth, giving rise to cancers located in the anterior bro-muscular stoma (AFMS) [7].
Prevalence According totheZone ofOrigin andVolume. Patterns ofSpread
Nevoux etal. analyzed a series of cystoprostatec­tomy specimens performed for bladder cancer from 345 consecutive patients without clinically manifest prostate cancer [6]. In the 96 prostates with prostate cancer, 215 cancer foci were identi­ed (mean 2.24 cancers per prostate). Of the 215 cancers, 90% were <0.5 cc and 79% <0.2 cc (Fig.9.1). Overall, 88% of cancer foci were clini­cally insignicant with a tumor volume<0.5cc and no Gleason patterns 4–5. Seventy-ve per­cent of the cancer foci were in the peripheral zone (PZ), while the remainder were within the transition zone (TZ). One-third of cancer foci were anteriorly located beyond the conventional area sampled by posterior biopsies. One-fth of cancer foci were within 6 mm of the apex.
9 Understanding Tumor Biology and Pathology: Cancer Grade, Volume, and Spatial Location…
99
Fig. 9.1 Spatial distribution of (a) 146 prostate cancers <0.1cc and (b) 24 prostate cancers 0.2-0.5cc on sagittal and transverse prostate sections for an average 45 cc
Limitations include that cystoprostatectomy can­cer foci are biologically at an earlier stage than screening-detected cancers.
In a series of 108 RP specimens, Haffner etal. out of 188 PZ cancers, 179 were <4 cc and 168 <2 cc [8]. PZ cancers tend to remain conned to their zone of origin for tumor volumes <2 cc. Between 2 and 4cc, some cancers partly spread into the TZ or AFMS.In total, 64% and 90% of PZ cancers, <4cc were located in the lower and posterior half of the gland, respectively. Additionally, 10% were located in the anterior horn of the PZ.Cancers <2cc were conned to one lobe in 164 of 168 (98%) cases and not con­ned in 3 of 11 (27%) in cancers measuring 2-4 cc in volume. Only cancer 2 cc involved both apex and base in the sagittal plane.
Bouye analyzed a series of 91 prostates with TZ/AFMS foci. Overall, 79 foci were< 4cc and 69 were<2cc [7]. Additionally, 50% and 70% of cancers <4cc were located in the anterior third and inferior half of the TZ and/or AFMS, respectively. The authors sub-classied three varieties of small cancers <2cc according to their location related to the boundaries of the histological zones: TZ type 1 (40%) represented cancers conned to one TZ lobe; TZ type 2 (35%) represented cancers mostly in one TZ lobe but crossing its anterior boundary; and type 3 AFMS (25%) represents cancers con­ned to the AFMS.Specic insights into the pat­tern of spread and case selection of TZ/AFMS foci
gland. Dots represent the center of each cancer focus. PZ cancers are in red and TZ /AFMS in green. (Adapted from Nevoux etal. [6])
are addressed in a separate chapter of this textbook (Focal Therapy for Anterior Cancers).
Cancer Laterality andFocality
In the analysis of a series of cystoprostatectomy specimens by Nevoux etal., the mean number of cancer foci per prostate was 2.24. Multifocality was observed in 48% of cases. In instances of multifocality, the second cancer was located in the same lobe in 21% of cases and in the contralateral lobe in 79% (Fig.9.2) [6]. In multifocal cases, distances between the largest foci and the following two largest foci according to their centers and nearest limits are shown in Table9.1.
The question remains regarding how this dis­tribution observed in autopsy or unselected speci­mens of prostatectomies translates into clinical series. Okabe et al. concluded that among men with a clinical suspicion of prostate cancer receiving MRI, 28.7% had a single targeted biopsy-conrmed lesion, and 10.4% had multifo­cality on MRI [9]. However, many MRI­undetected contralateral cancer foci were identied. Only 6.0% of biopsy-naïve men remained with a single GG2 MRI lesion poten­tially amenable to FT.
In summary, PZ (foci <2cc), TZ/AFMS can­cer contours and locations can be predictable and
100
UNILATERAL 21 % BILATERAL 79 %
UNIFOCAL
A. Villers et al.
42 %
a
b
MULTIFOCAL
58 %
c
d
Fig. 9.2 Average transverse section of a 45cc prostate at mid-gland depicting a model of distribution of 215 sepa­rate prostate cancers in 96 cystoprostatectomy specimens demonstrating unifocal (a, b) and multifocal (c, d) unilat­eral (c) bilateral (d) tumors. Among the unilateral and multifocal cases (c), cancers were in the same anterior or posterior part of the gland in 50% of cases. (a) posterior
Table 9.1 Distances between the largest lesions and the following two largest lesions according to their centers and nearest limits and their laterality (lesion 1 is the largest lesion, lesion 2 is the second largest lesion, and lesion 3 is the third largest lesion in the same specimen) (Adapted from [6])
Mean distance (range), mm Unilateral lesions All multifocal lesions Between the centers of the largest
surfaces of lesions 1 and 2 Between nearest contour borders of
the largest surfaces of lesions 1 and 2
Between the centers of the largest surfaces of lesions 1 and 3
Between nearest contour borders of the largest surfaces of lesions 1 and 3
18 (8–29) 23 (8–39)
11 (3–23) 15 (3–35)
17 (11–23) 22 (6–49)
12 (7–18) 16 (0–35)
insignicant cancer of 0.1 cc that could be detected by posterior systematic biopsies (SB). (b) anterior insigni­cant cancer of 0.1cc undetectable by posterior SB. (c, d) unilateral (c) and bilateral (d) multifocal cancers with a large PZ cancer of 0.7 cc and a smaller TZ cancer of
0.1cc. (Adapted from Nevoux etal. [6])
9 Understanding Tumor Biology and Pathology: Cancer Grade, Volume, and Spatial Location…
101
conform to histological zonal boundaries. Understanding the origin of cancer and its intra­prostatic pattern of dissemination is crucial for imaging, diagnosis, and guidance for biopsy and focal therapy. Further studies will be necessary to better understand the molecular events and poten­tial intra-prostatic spread of cancers.
Concept ofSafety Margin inFT
FT should consider treating the histologically malignant part rather than solely relying on imaging data based on pathologic evidence. Priester etal. at UCLA demonstrated that MRI consistently under­estimates the size and extent of prostate tumors in 114 men who all had MRI before radical prostatec­tomy, with patient-specic mold processing of the specimen [10]. At nal pathology assessment, 222 tumors were evident on whole-mount sections, 118 of which had been identied on MRI.For the 118 ROIs, the mean volume was 0.8cc, and the longest 3D diameter was 17 mm. However, for matched pathologic tumors, most of which were GG2, the mean volume was 2.5cc, and the longest 3D diam­eter was 28mm. The median tumor had a 13.5mm maximal extent beyond the MRI contour, and 80% of cancer volume from matched tumors was outside of ROI boundaries. Size estimation was most accu­rate in the axial plane and least accurate along the base-apex axis. Prostate cancer foci had an average diameter 11 mm longer and a volume 3 times greater than T2-weighted MRI segmentations. These results may have important implications for an improvement of the accuracy, especially along the cranio-caudal axis. The latest report of this group updates results showing an index cancer detection rate by MRI in 224/285 (78.6%) tumors validated by whole-mount histopathology (WMHP). The median maximal diameter of PCa index tumors was on MRI of 1.3 cm whole on WMHP-2.0 cm with a poor Pearson correlation coefcient of 0.45 (p<0.05).
A properly optimized targeted biopsy can rene candidate selection, margin evaluation, and side effect reduction. Priester etal. [10] recom­mended that a planning biopsy should be done to determine disease extent in all patients undergo-
ing partial gland ablation (PGA) as cancer has been noted to extend up to 15mm from the lesion border on imaging.
Le Nobin et al. searched the accuracy of MRI before prostatectomy in 33 patients [11]. The concordance was conducted between lesion borders traced by radiologists on MRI pictures and MRI and three-dimensional recon­structions created from high-resolution digi­talized slides of radical prostatectomy specimens and co- registered to imaging using advanced software. Tumors were compared between histology and imaging by the Hausdorff distance and stratied by the MRI suspicion score, Gleason score, and lesion diameter. Distances between the largest lesions and the following two largest lesions according to their centers and nearest limits and their lat­erality are shown in Table 9.1. The results showed a boundary underestimation in larger lesions with an imaging suspicion score of 4 or greater (mean 3.49±2.1mm, p<0.001) and a GG 7 (mean 2.48±2.8mm, p 1/4 0.035). A simulated treatment volume based on the MRI boundary missed an average of 14.8% of tumor volume compared to that based on the histo­logical boundary (Fig. 9.3). Adjustment of simulated treatment volume to a 9mm treat­ment margin achieved complete histological tumor destruction in 100% of patients that can have a clinical application. The exact limits of an appropriate treatment zone have not been well established in prospective studies.
Fig. 9.3 MRI lesion encompassed by histological lesion. The red outline indicates histological boundaries. Small 2-headed arrows indicate Housdorff distance. Large 2-headed arrows indicate Hausdorff Max. (Adapted from Le Nobin etal. [11])
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Extra-Prostatic Extension (EPE) Is Not anAbsolute Contraindication toFT
When considering therapy for any given prostate cancer focus, the possibility of EPE must be taken into account. A concern for FT is its application to a unilateral pT3a tumor. EPE is a signicant pathological parameter identied after RP that can inuence disease-free recurrence. Mouraviev et al. reported that among 1184 patients with low-risk PCa, EPE occurred in
19.2%, as conrmed by pathological assessment of RP specimens [12]. Only some of these patients, theoretically, with unilateral or unifocal PCa and large EPE, may not be eligible for FT. Most of them can still potentially benet from FT since several technologies, such as cryo­ablation, can extend its therapeutic effect beyond the gland boundary, thereby treating EPE. Tay etal. retrospectively reviewed 120 men with clin­ically localized PCa undergoing mpMRI and radical prostatectomy to assess EPE [13]. Radiologic prediction of pECE from standard radiologic reports (standard read) and by a spe­cialized reader blinded to clinical and pathologic ndings (specialized read) was used. The incre­mental benet of standard read and specialized read by sequential addition to a baseline clinical parameter-only logistic regression model predict­ing pECE was determined. The sensitivity and specicity of standard read were 77% and 44%, respectively, whereas those of specialized read were 86% and 81%. This second opinion may be useful when considering active surveillance, nerve-sparing surgery, or focal therapy.

References

1. Bommelaere T, Villers A, Puech P, et al. Risk esti­mation of metastatic recurrence after prostatectomy: a model using preoperative magnetic resonance imaging and targeted biopsy. Eur Urol Open Sci. 2022;41:24–34.
2. Deleuze C, Dickinson L, Orczyk C. Re: Thomas Bommelaere, Arnauld Villers, Philippe Puech, etal. Risk estimation of metastatic recurrence after prosta­tectomy: a model using preoperative magnetic reso­nance imaging and targeted biopsy. Eur Urol Open Sci 2023.
3. Lebastchi AH, George AK, Polascik TJ, et al. Standardized nomenclature and surveillance method­ologies after focal therapy and partial gland ablation for localized prostate cancer: an international multi­disciplinary consensus. Eur Urol. 2020;78:371–8.
4. Hopstaken JS, Bomers JGR, Sedelaar MJP, et al. An updated systematic review on focal therapy inlocal­ized prostate cancer: what has changed over the past 5 years? Eur Urol. 2022;81:5–33.
5. Mjaess G, Peltier A, Roche J-B, etal. A novel nomo­gram to identify candidates for focal therapy among patients with localized prostate cancer diagnosed via magnetic resonance imaging-targeted and system­atic biopsies: a European multicenter study. Eur Urol Focus. 2023;9:992–9.
6. Nevoux P, Ouzzane A, Ahmed HU, etal. Quantitative tissue analyses of prostate cancer foci in an unselected cystoprostatectomy series. BJU Int. 2012;110:517–23.
7. Bouyé S, Potiron E, Puech P, et al. Transition zone and anterior stromal prostate cancers: zone of origin and intraprostatic patterns of spread at histopathology. Prostate. 2009;69:105–13.
8. Haffner J, Potiron E, Bouyé S, etal. Peripheral zone prostate cancers: location and intraprostatic patterns of spread at histopathology. Prostate. 2009;69:276–82.
9. Okabe Y, Patel HD, Rac G, et al. Multifocality of prostate cancer and candidacy for focal therapy based on magnetic resonance imaging. Urology. 2022;169:141–9.
10. Priester A, Natarajan S, Khoshnoodi P, etal. Magnetic resonance imaging underestimation of prostate can­cer geometry: use of patient specic molds to cor­relate images with whole mount pathology. J Urol. 2017;197:320–6.
11. Julien LN, Rosenkrantz AB, Arnauld V, etal. Image guided focal therapy for magnetic resonance imag­ing visible prostate cancer: dening a 3-dimensional treatment margin based on magnetic resonance imaging histology co-registration analysis. J Urol. 2015;194:364–70.
12. Mouraviev V, Mayes JM, Sun L, etal. Prostate cancer laterality as a rationale of focal ablative therapy for the treatment of clinically localized prostate cancer. Cancer. 2007;110:906–10.
13. Tay KJ, Gupta RT, Brown AF, et al. Dening the incremental utility of prostate multiparametric mag­netic resonance imaging at standard and specialized read in predicting extracapsular extension of prostate cancer. Eur Urol. 2016;70:211–3.
Identifying andCharacterizing theIndex Lesion
FrancescoCei, MasatomoKaneko, AndreAbreu, andGiovanniEnricoCacciamani
10

Introduction

Prostate cancer is a heterogeneous disease that can be unifocal or multifocal according to the number of cancerous lesions inside the gland. Pathology studies on prostatectomy specimens have always shown that low-risk prostate cancer in almost 70–80% of cases is multifocal [1, 2]. This is the reason why tissue-sparing treatment in prostate cancer traditionally has never been performed despite being extremely common in other solid cancers like kidney, breast, or thy­roid. However, thanks to improved screening and prostate cancer detection, a greater amount
F. Cei Center for Image-Guided Surgery, Focal Therapy and Articial Intelligence for Prostate Cancer, USC Institute of Urology Catherine and Joseph Aresty Department of Urology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy e-mail: francesco.cei@med.usc.edu
M. Kaneko · A. Abreu · G. E. Cacciamani (*) Center for Image-Guided Surgery, Focal Therapy and Articial Intelligence for Prostate Cancer, USC Institute of Urology Catherine and Joseph Aresty Department of Urology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA e-mail: masatomo.kaneko@med.usc.edu;
andre.abreu@med.usc.edu; giovanni.cacciamani@med.usc.edu
of patients present with early-stage cancer and potentially can be perfect candidates for focal therapy (FT) [3].
The index lesion is the tumor focus that con­tains the largest volume, the highest Gleason grade; and, theoretically, is the main determinant of the cancer prognosis. In this chapter we are going to discuss the implications of multi and unifocal cancer, the role of the index lesion, together with possible challenges and controversies.
Tumor Unifocality andMultifocality
While a clear denition of tumor multifocality exists for breast cancer (i.e., the presence of two or more synchronous ipsilateral neoplasms sepa­rated by benign tissues in the same or different quadrants of the breast [4]), no denitive charac­terization has been established for multifocal prostate cancer. Villers et al. [5] introduced an initial denition, identifying multifocal prostate cancer as a tumor featuring a dominant focus, termed the index lesion, accompanied by a sec­ondary smaller lesion of lower grade. To enhance discrimination between two lesions, a distance threshold of 3mm from the second closest lesion was introduced [6].
Historically, the prevalence of multifocality in prostate cancer, coupled with the challenge faced by urologists in reliably detecting such cases, led
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024 T. J. Polascik et al. (eds.), Imaging and Focal Therapy of Early Prostate Cancer,
https://doi.org/10.1007/978-3-031-66754-1_10
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b
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to a therapeutic focus on radical prostatectomy (RP) and radiation therapy (RT) [7]. The concern of missing out on clinically signicant cancer tumors outside the index lesion hindered the application of FT in low-risk patients. However, the current trend is to minimize treatment-related morbidity while upholding oncological safety. This shift is pushed by the earlier diagnosis of prostate cancer at an initial stage, with an increas­ing number of studies reporting a higher percent­age of patients having unifocal prostate cancer or
a “biological unifocal tumor.” The latter is dened as multifocal prostate cancer with clinically non­signicant disease [8]. Figure 10.1 shows three real case scenarios of unifocal, multifocal, and biological monofocal prostate cancer.
Several studies suggest that 10–40% of patients diagnosed with low-risk prostate cancer exhibit unifocal diseases. Interestingly Song etal. reported in a cohort of Korean patients a rate of unifocal prostate cancer of 67%, signicantly higher in comparison to western prostate adeno-
Fig. 10.1 Three real life case scenario of unifocal, multi­focal and biological unifocal tumor. (a) Unifocal tumor: PSA 5.4, PV 23.9cc, PSA density 0.23ng/ml2, PIRADS 5 (Left Apex Peripheral Zone). Gleason Score 4+4 from the target. Systematic cores from contralateral side were benign. (b) Multifocal tumor: PSA 13.1, PV 47.8 cc, PSA density 0.27 ng/ml Zone Lesion) and PIRADS 3 (Left Transition Zone Lesion). Gleason Score 4+3 from the Right Peripheral
2
, PIRADS 5 (Right Peripheral
Zone target and Gleason Score 3 + 4 from the Left Transition Zone target. (c) Biological unifocal tumor: PSA 4.5, PV 63cc, PSA density 0.07ng/ml (Right Mid Transition Zone Lesion) and PIRADS 4 (Left Mid Peripheral Zone Lesion). Gleason Score 3+ 4 from the right Transition Zone target and Gleason Score 3+3 (clinically non-signicant prostate cancer) from the Right Peripheral Zone target
2
, PIRADS 5
c
10 Identifying andCharacterizing theIndex Lesion
Fig. 10.1 continued
105
carcinoma [9]. However, the substantial variabil­ity observed among these studies is attributed to the methodology employed in processing radical prostatectomy specimens, specically the thick­ness of pathology slides. For instance, the slicing of samples at 6mm instead of 3mm may result in an inaccurate characterization of a tumor as uni­focal. It has been estimated that the use of 6mm­thick pathology slides leads to the loss of approximately 17% of additional small foci within the prostate [10]. Moreover, a notable bias is associated with pathologist interpretation. Achieving a comprehensive scan of the entire prostate would require an evaluation of approxi­mately 2500 pathology slides, a task impractical within the clinical role of a pathologist [11]. Additionally, the accurate denition of the num­ber of lesions is highly dependent on the subjec­tive interpretation of the pathologist, given that the majority of prostate cancer lesions do not exhibit perfect ovoid shapes but rather present a nonhomogeneous morphology [12].
tumor within the prostate determines the natural progression of the disease [13]. This theory is grounded in the observation that the pathological attributes of the index lesion, such as Gleason grade, dimensions, and extraprostatic extension, typically dictate the prognosis of the disease [14]. Research indicates that the estimated volume of
3
the index lesion falls between 0.3 and 1.5cm
, constituting almost 90% of the total tumor vol­ume [13, 15].
Crucially, Karvatakis etal. demonstrated that in multifocal prostate cancers, key histopatho­logical features—namely Gleason grade, extra­prostatic extension, and seminal vesicle invasion—are determined by the index lesion [16]. Furthermore, studies conducted on patients undergoing active surveillance reveal that tumors with a size of 0.5cm
3
exhibit a volume doubling time of 48months [17]. Given this characteristic and considering that lymph node metastasis is typically observed when the tumor volume reaches at least 4 cm3, it becomes plausible to classify these lesions as nonsignicant cancers. The FLAME trial showed that it is possible to
Signicance andDebate Surrounding theIndex Lesion Theory
improve biochemical disease-free survival in patients with intermediate- and high-risk prostate cancer undergoing whole-gland external beam radiotherapy by adding a focal boost to the main
In recent years, signicant efforts have been ded­icated to substantiating the index lesion theory, according to which the largest and highest-grade
intraprostatic lesion dened at the multiparamet­ric magnetic resonance imaging (mpMRI). This Phase III randomized clinical trial proved the
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prognostic benet of adopting a more aggressive approach toward treating the index lesion [18]. However, the discussion on this topic remains intensely debated. In a survey involving 425 urol­ogists, only 45% subscribed to the “index lesion theory,” with a notably higher acceptance rate among professionals in academic centers [15].
Despite the conventional belief that small lesions possess low biological potential, emerg­ing studies suggest that even lesions as small as
0.1 cm3 can manifest invasiveness and aggres­siveness. For instance, Ruitjer etal. reported that 14% of nonindex lesions exhibited extraprostatic invasion [19]. Another study identied men with lymph nodal metastasis despite prostatic lesions smaller than 0.2cm3 [20]. Finally, a study encom­passing 239 patients with a tumor volume less than 0.5 cm3 revealed rates of 18% exhibiting poor differentiation, 5% with extraprostatic extension, 1% with positive lymph node metasta­sis, and 3% experiencing oncological progres­sion within 5 years of diagnosis [21]. These ndings collectively suggest that tumor volume alone may not reliably estimate the prognosis and natural history of the disease. This also raises a discussion on whether all index lesions should be considered clinically signicant and whether all clinically signicant lesions are actually index lesions.
Role ofImaging inDening Index Lesions
For decades, patient selection for FT has been slowed down by the absence of a reliable imaging technology capable of accurately identifying the index lesion. Early case series on FT relied on patients diagnosed through transrectal ultrasound (TRUS)-guided biopsy, a method known for its inherent randomness and resulting in data fraught with inaccuracies in terms of tumor volume, localization, and grade [22]. The landscape changed signicantly with the introduction of mpMRI.Now, our ability to recognize and dene the index lesion has markedly improved, along
with the capacity to appropriately select candi­dates for FT.
The negative predictive value of mpMRI in forecasting the absence of a signicant lesion has been reported to range from 63% to 98% [23,
24]. In a separate study, the sensitivity, negative
predictive value, and negative likelihood ratios of mpMRI for detecting lesions larger than 4 mm and/or Gleason score3+4 were reported to be 58–73%, 84–89%, and 0.3–0.5, respectively [25]. Furthermore, mpMRI has assumed a central role in the biopsy process, with a growing number of urologists in tertiary referral centers opting for MRI-targeted biopsies.
The key to appropriately using FT lies in the selection of ideal patients. This heavily relies on the diagnostic accuracy of mpMRI, biopsies, and available biomarkers. Beyond patient selection, mpMRI plays a crucial role in the delivery of FT, providing optimal navigation within the prostate to treat target lesions and facilitating the onco­logical post-operative follow-up of patients undergoing the procedure in conjunction with validated biomarkers [26]. Despite this great improvement in characterizing index lesions, the accuracy of mpMRI in identifying prostate can­cer multifocality is poor. Indeed, mpMRI misses low-volume csPCa in approximately 30% of patients. The detection rate for csPCa at TRUS-Bx was 8% for PI-RADS 2, 15% for PI-RADS 3, 36% for PI-RADS 4, and 58% for PI-RADS 5 lesions [27]. Despite this limitation, the main future challenge for mpMRI is the ability to diag­nose cancer without the need for biopsy proof. Emmett etal. proved that the addition of PSMA­PET/CT to MRI improved the MRI sensitivity (83% vs. 97%) and NPV (from 72% to 91%), thus providing a more effective strategy for safely avoiding biopsy compared with relying on MRI alone [28]. This can theoretically bring us to a signicant change in the workup of prostate can­cer diagnosis, but for the time being, the use of MRI and targeted biopsies is the most efcient diagnostic pathway to provide an acceptable mapping of the prostatic gland and perform FT without taking oncological risks.
a
b
10 Identifying andCharacterizing theIndex Lesion
107
Dual Nature ofProstate Cancer: Monoclonal Vs. Multiclonal Hypotheses andTheir Impact onFocal Therapy Development
Tumors can arise through either a monoclonal or polyclonal process. The monoclonal hypothesis states that all cancer foci originate from the same cancer stem cells, attributing the cancerogenic process to a single transformative event. This implies that a solitary cancer cell possesses the capability to spread throughout the organ, giving rise to genetically similar clones. Subsequent genetic mutations, occurring as part of cancer evolution, contribute to divergence. Conversely, the multiclonality hypothesis suggests that each cancer focus results from an independent tumori­genic event, rendering cancer cells within distinct lesions genetically distinct and exhibiting few similarities in their molecular prole [29, 30] (Fig.10.2).
To address this question, molecular and mic­rosatellite alteration analyses are imperative [31]. However, the scientic community has yet to provide a denitive answer, with studies over the years yielding conicting results.
Boyd etal. proposed that neoplastic cells can disseminate from a common origin, nding a consistent genetic prole among all cancer foci analyzed. This implies that multifocal cases may stem from a single prostate cancer precursor
clone progressing to multifocal invasive prostate cancer [32]. In line with this perspective, 15years ago, Liu et al. analyzed samples from 94 cancer specimens obtained from deceased patients with metastatic prostate cancer. These patients under­went autopsies as part of the Project to Eliminate Lethal Prostate Cancer (PELICAN) rapid autopsy program at Johns Hopkins Medical Institutions. In 2009, the authors concluded that a single pre­cursor cell was responsible for generating meta­static disease, leading to the assumption of a monoclonal origin of lethal metastatic prostate cancer [33]. Similarly, Grasso et al. sequenced the exomes of 50 lethal, heavily pre-treated meta­static castration-resistant prostate cancers (CRPCs) obtained at rapid autopsy. Their sequencing results identied a common cell of origin in lethal CRPC [34].
Conversely, other studies suggest the poly­clonal origin of prostate cancer. One study exam­ining the genomic prole differences between prostatic intraepithelial neoplasms (PINs) and their matched carcinoma foci revealed signicant genetic heterogeneity in both PIN and prostate carcinoma, suggesting independent origins of multiple PIN foci within the same prostate [35]. Evaluating allelic heterogeneity of the BRCA1 locus on chromosome 17q21, researchers found different foci within the same prostate specimen to have distinct allelic proles, while cancer cells within the same lesions exhibited a consistent
Fig. 10.2 Monoclonal vs Multiclonal hypotheses of mul­tifocal prostate cancer (a) Monoclonal: a single trans­forming event occurs in one cell with the spread of this clone through the organ resulting in topographically dis-
tinct but genetically related tumors. (b) Multiclonal: each cancer foci are composed of multiple genetically distinct cancer cell clones