Skip to main content
Prostate Cancer logoLink to Prostate Cancer
. 2011 Jun 9;2011:673021. doi: 10.1155/2011/673021

Frequency of Positive Surgical Margin at Prostatectomy and Its Effect on Patient Outcome

Kenneth A Iczkowski 1,*, M Scott Lucia 1,*
PMCID: PMC3200270  PMID: 22110996

Abstract

A positive surgical margin at prostatectomy is defined as tumor cells touching the inked edge of the specimen. This finding is reported in 8.8% to 42% of cases (median about 20%) in various studies. It is one of the main determinants of eventual biochemical (PSA) failure, generally associated with a doubled or tripled risk of failure. The effect of a positive margin on outcome can be modified by stage or grade and the length, number and location of positive margins, as well as by technical operative approach and duration of operator experience. This paper tabulates data from the past decade of studies on margin status.

1. Introduction

1.1. Definition of a Positive Surgical Margin (PSM) in Radical Prostatectomy Specimens

As with all surgical specimens resected for cancer, the margins of a prostatectomy specimen are inked, usually using one color dye for the right side and one for the left. It is the pathologist's task to assess the microscopic slides and determine the proximity of tumor glands or cells to the ink to decide whether there is a definite positive surgical margin (PSM) (Figure 1).

Figure 1.

Figure 1

Prostatectomy specimen with a definite positive surgical margin (PSM). The inked resection margin transects tumor (400x).

A fundamental question is whether a tumor focus that is close to, but not touching, the resection margin (Figure 2) holds the same implications as a PSM. This question was first answered by Epstein and Sauvageot in 1997, in a study of 101 cases [1]. They found that patients with biochemical progression were no more likely to have tumor close to the margin than those without progression. Emerson et al., confining their study to just 278 margin-negative whole-mount prostate cases, validated that the closest distance between tumor and resection margin was not a significant predictor of PSA recurrence by univariate or multivariate analysis [2]. Thus, it was the consensus of the International Society of Urological Pathology in 2009 not to mention in written reports if tumor merely approaches but does not touch the margin [3]. This contrasts with the practice in other types of specimens such as breast lumpectomy specimens, in which the distance of tumor close to the margin is reported and does matter for outcome.

Figure 2.

Figure 2

Prostatectomy specimen with negative surgical margin. Tumor approaches within less than 1 millimeter of the inked margin (400x).

A PSM is a strong determinant of the probability of biochemical failure and is at least as important as grade, stage, and preoperative serum prostate-specific antigen (PSA). In unselected contemporary studies the PSM rate ranges from 8.8% [4] to 37% [5]. The interobserver reproducibility of designation of a PSM by urologic pathologists, using the definition of tumor on ink, has been shown to be good to excellent. The kappa value is 0.73 for definitive surgical margin status [6]. This supports the validity of many studies in concluding that, compared to negative surgical margin (NSM) status, a PSM correlates with a significant rise in biochemical failure rate. The purpose of this paper is to provide a compendium for urologists and their patients of all that is known about prostate margin status as an outcome predictor.

2. Methods

A review of papers pertaining to prostate margin status and its effect on outcome was undertaken using PubMed searches from 1997 to the present.

3. Results

3.1. Can Prostate Biopsy Results Predict Margin Status?

We undertook a study a few years ago to determine the extent to which prostate biopsy results could predict cancer at prostatectomy that is unifocal, unilateral, margin-negative, and of small volume [20]. These four factors are the main criteria for choosing minimally invasive therapies such as targeted focal ablation of the prostate, as alternatives to radical prostatectomy. Unilateral cancer at prostatectomy was predicted by unilateral cancer in the biopsy (OR, 4.30) and unifocal cancer in the biopsy (OR, 2.63). In that study, negative surgical margins were predicted by unilateral cancer in the biopsy (OR 2.53, positive predictive value 82%). Therefore, biopsy findings can strongly predict prostatectomy margin status and other findings.

3.2. Comparison of PSM Rates by Technical Approach (Table 1)

Table 1.

Comparison of PSM rates by technical approach.

First author, yr No. of pts Cohort years Median f/u, yr Open Laparoscopic Robotic Failure rate if PSM
PSM rate P value PSM rate HR, P val. PSM rate HR, P val.
Williams
2010 [7]
4240 2004–2006 20.1% 17.4% 17.4%
Coelho
2010 [8]
≥250†† 1994–2009 24.0% 21.3% 13.6%
Sciarra
2010 [9]
200 2003–2007 18% anterograde, 14% retrograde P = .03
Williams
2010 [10]
950 2005–2008 7.6% 13.5%, HR 1.9*, P = .007
Coelho
2010 [11]
876 2008-2009 pT2, 6.8%, pT3, 34.0% P < .0001
Guru
2009 [12]
480 2005–2008 5% apical, 2% versus 8%**
Bong
2009 [13]
301 1994–2006 2.0 24.7% at 1 institution but 4.2% at another P < .01*** 25.6% at 1 institution but 100% at other
Hakimi
2009 [14]
150 2001–2008 13.7% 12% 6.7% versus 5.3%
   P = .37
Laurila
2009 [15]
192 2006 14% 13% P = .5, no diff in apical margin
Terakawa
2008 [16]
137 2000–2007 PSM Not signif. More multiple PSM, get #
Smith
2007 [17]
400 2002–2006 35% 15% P < .001
Silva
2007 [18]
179 1999–2003 41.6% 24.44% P = .023
Touijer
2007 [19]
1177 2003–2005 11.0%;
pT2 5.3%,
pT3 22.0%
11.3%;
pT2 8.2%;
pT3 17.2%
HR 1.2, P = .5

*OR falls to 1.6 if nerve-sparing is eliminated as a variable (P = .05).

**Lower rate achieved by cold incision of the dorsal venous complex before suture ligation.

***For the same surgeon; but higher average pathologic stage at the first institution.

But open method was used for more high-risk cases and also cases with a higher preoperative PSA, P = .002.

††Review of several papers.

In the past decade, nonrobotic or robotic laparoscopic techniques have been increasingly used in place of conventional open radical prostatectomy. The laparoscopic approaches are often considered superior for continence and potency [8, 11, 12, 14, 16]. Most studies involving prostate pathology after laparoscopic approaches have found a PSM rate comparable with that of an open approach [7, 8, 14, 15, 19]. PSM rates were as follow: open, 7.6% [10] to 41.6% [18]; laparoscopic without robot, 11.3% [19] to 21.3% [8]; robotic, 13% [15] to 24.44% [18].

PSM rate for robotic approaches was found to be significantly worse than that for open ones (P = .007) in one study [10]; however, two other studies found open approaches superior to the robotic ones [17, 18]. In the study that found the open approach better, the result was confounded by nerve sparing, so robotic prostatectomies showed a nonsignificant trend toward lower PSM for a non-nerve-sparing approach (P = .09) [10]. When the anterograde open approach was compared with the retrograde approach, significantly fewer PSMs were found by retrograde approach (P = .03) [9].

In a comparison of robotic versus nonrobotic laparoscopic approaches, one study found the robotic method superior [8]. Another found that the outcome was highly stage dependent, with 7% of pT2 patients with biochemical failure as opposed to 34% of pT3 patients [11]. Failure could also depend on number of positive margins [16]. In a study evaluating the robotic approach, a lower PSM rate was achieved by cold incision of the dorsal venous complex before suture ligation [12].

3.3. Comparison of PSM Rates by Duration of Surgical Experience (Table 2)

Table 2.

Comparison of PSM rates by duration of surgical experience.

First author, yr Number of cases Cohort years PSM rate
Open Laparoscopic Robotic
Rodriguez 2010 [21] 400, by intervals of 100 2004–2006 For pT2: 28.4%–31.9% to 11.6%–11.5%*
Yee 2009 [22] 50, then 250 2005–2008 Cases  1–50: 36%,
51–250: 17.6%,
251–450: 7.5%
Liss 2008 [23] 216 2003–2007 14.8%, decr. over time P = .03, nerve-sparing increased risk P = .03
Eastham 2007 [24] 2442 1983–1990 and 1991–2004 18% versus 10%,
P = .001
Touijer 2007 [19] 1177 2003–2005 No decrease over time Decreased over time, P = .0002

*First 200 cases versus last 200 cases.

In the above comparison of surgical approaches, it must be noted that the new laparoscopic approaches have a demonstrable learning curve. That is, in three studies conducted in the middle of the 2000–2010 decade, the PSM rate improved after a few years of practice [2123]. While a significant decrease in PSM rate occurred over time with a laparoscopic approach, PSM held steady for open procedures during the same time period [19]. Even with the open approach, during the 1990s and early 2000s, one study had noted that there was also a learning curve with respect to the PSM rate [24].

It is a bit disconcerting but it also must be admitted that individual surgeons may vary in their frequency of PSMs. In a study of 4,629 men operated on by open prostatectomy by one of 44 surgeons, for the 26 surgeons who each treated >10 patients, the rate of PSM ranged from 10% to 48% [33]. A 6-fold difference was even reported for the same surgeon at different institutions [13].

3.4. Margin Status Effect on PSA Failure Rate at 10 Years (Table 3)

Table 3.

The effect of margin status on PSA failure rate at 10 years.

First author, yr n Cohort years PSA fail criterion, ng/mL % PSM, overall % biochemical failure rate
PSM NSM P value, HR
Williams 2011 [25] 158†† 2005–2009 13 No f/u
Ahyai 2010 [26] 932 1992–2004 ≥0.1 12.9 21.7 6.9 P = .001
Tsao 2009 [27] 100* 2004–2007 ≥0.2 23
Sæther 2008 [28] 219 1996–2004 ≥0.2 32.4 40 18 P = .017
Pfitzenmaier 2008 [29] 406 1990–2006 ≥0.2 17.2 64.3 20.5 P < .001, HR 3.21
Swanson 2007 [30] 719 1985–1995 ≥0.3 15.3 63 27 P < .0001
Ahyai 2010 [26] 936 1992–2003 ≥0.4 37 19 7 P < .01
Kausik 2002 [31] 1202 1987–1995 >0.2 42 35 24 P = .0001
Menon 2010 [32] 1384 2001–2005* ≥0.2 25.1 P < .0001, HR 2.43 (1.72–3.42)

*Robotic only.

pT3 cases only.

††pT2 cases only.

PSM rates in studies not comparing approaches ranged from 13% [25] to 42% [31] with a median 23% [27]. In the presence of a PSM, the failure rate was either double [28, 30, 32, 34, 40, 42, 43], triple [5, 26, 29, 38] or showed an increase of greater magnitude [4, 39] compared to NSM. Two studies did not specify this [5, 30]. In studies reporting a Hazard Ratio (HR) comparing a PSM to NSM, the HR ranged from 1.3 [46] up to 3.66 [42].

3.5. Tumor Stage (Table 4) or Grade (Table 5) Can Modify the Effect of PSM on PSA Failure Rates, at 10 Years

Table 4.

Modification of PSA failure rates according to stage, at 10 years (unless specified).

First author, yr n Cohort Years PSA fail criterion ng/mL % PSM, overall % biochemical failure rate % biochemical failure rate with PSM by stage
PSM NSM P value HR pT2 P value, HR pT3a P value, HR Stage pT3b P value, HR
Williams
2010 [7]
4240 2004–2006 19.4 No f/u 14.9 42
Ploussard
2010 [34]
1943 2000–2008 >0.2 25.6 54.2 29.9 P < .001, HR 2.6 P < .001, HR 3.81 P = .001, HR 2.09 P = .1, HR 1.46
Budäus
2010 [35]
4490 1992–2008 ≥0.1 18.9 17 versus 5 HR 2.9 38 versus 26 HR 1.9 71 versus 53, HR 1.4
Brimo
2010 [36]
108 1995–2008 ≥0.2 Inclusion criterion 58
Hsu
2010 [37]
164 1977–2004 ≥0.2 48.2
(all cT3)
57%, HR 4.1, P = .03
Ficarra
2009 [38]
322* 2005–2008 ≥0.2 29.5 6.2 1.8 P < .001 (at 12 mo.) 10.6 57.5 P < .001, HR = 11.8 72.2
Kwak
2010 [39]
266 1995–2007 ≥0.2 18.5 52.6 8 P < .0001 29.3 versus 7.3$ P < .0001 51 versus 10.5 P = .04
HR 1.4,
Hashimoto
2008 [40]
238** 1985–2005 ≥0.2 34.4 38.4 19.3 P < .001 HR = 1 P = .033 HR 3.36, P = .002, HR 7.13,
Chuang
2007 [41]
135** 1993–2004 ≥0.2 28.7 versus 3.3 P < .0001 Focal EPE 21.4% versus 10.3%, P = .02,
Ext EPE 41.5% versus 26%, P < .0001
Orvieto
2006 [4]
996 1994–2004 ≥0.1 8.8 (all); pT2 1.7, pT3a 24.9, pT3b 27.1 35 7.8 P < .001, HR 3.27 P < .001, HR = 1.7 P = .011, HR 3.6 P = .19, HR 6.5
Karakiewicz
2005 [42]
5831 1983–2000 ≥0.1–≥0.4 26.7 63.9 29.9 P = .001, HR 3.66 63 versus 30 P < .001
Swindle
2005 [43]
1369 1983–2000 ≥0.4 12.9 (all); pT2 6.8, pT3 23 42 19 P = .002, HR 1.52 38.6 versus 19.6 P < .001 74.9% versus 53.8%, P < .001

*Robotic only.

**Study used 5-year biochemical recurrence.

Restricted to GS = 7, stage pT3a, and PSM.

$If there is capsular incision, versus no capsular incision.

Table 5.

Modification of PSA failure rates according to grade, at 10 years (unless specified).

First author, yr n Cohort years PSA Fail criterion, ng/mL % PSM, overall % biochemical failure rate Gleason score effect on failure if PSM
PSM NSM P value, HR Comparisons P value, HR
Ploussard
2010 [34]
1943 2000–2008 >0.2 25.6 54.2 29.9 P < .001
HR 2.6
≤7 versus ≥8 P < .001
P = .115
Budäus
2010 [35]
4490 1992–2008 ≥0.1 18.9 compared to GS = 6: for 3 + 4, for 4 + 3, for ≥8, HR 2.81
HR 6.57 HR 9.86,
all P < .001
Brimo
2010 [36]
108 1995–2008 ≥0.2 Inclusion criterion Score at margin P = .007
Alkhateeb
2010 [44]
11,729 1992–2008 ≥0.4 31.1 56 77 P < .0001
HR 1.63
Low risk 5.1% versus 0.4%;
med. risk 17% versus 65%;
hi. risk 43.9% versus 21.5%
Orvieto
2006 [4]
996 1994–2004 ≥0.1 All 8.8; pT2 1.7, pT3a 24.9, pT3b 27.1 35 7.8 P < .001
HR 3.27
7 versus ≥8, P < .001, HR 7.2
P < .001, HR 21
Karakiewicz
2005 [42]
5831 1983–2000 ≥0.1 to ≥0.4 26.7 63.9 29.9 P = .001
HR 3.66
≥7 P ≤ .008, HR 2.81

Restricted to GS = 7, stage pT3a, and PSM.

Risk groups based on Gleason score and preoperative PSA: low = PSA <10, Gleason ≤6; medium = PSA 10–20 or Gleason 7; high = PSA >20 or Gleason ≥8.

Nine studies compared PSA failure rates as a function of pathologic stage pT3a and pT3b versus pT2 or of pT3 versus pT2. (The apparent stage sometimes cannot be assessed because of capsular incision [58].) Failure rates with a PSM in stage pT2 ranged from 10.6% [38] to 63% [42], with an HR of 1.7 [4] to 3.81 [34] compared to having an NSM. For stage pT3a, failure rates were 38% [35] to 58% [36], with HR ranging from 1.4 [46] to 3.6 [4] compared to NSM. For stage pT3b, one study reports 71% failure, with HR of 1.4 compared to NSM [35]. Some studies chose to combine both pT3 substages and disclosed failure rates from 57% [37] to 75% [43] and HR of 4.1 [37] to 11.85 [38]. Thus, PSM exerts an effect that is synergistic with increasing stage, although the HR compared to NSM seems fairly constant across stages pT2, pT3a, and pT3b, at about 3 to 4. A study examining the phenomenon of capsular incision, sometimes denoted pT2+, found a 29.3% failure rate versus 7.3% for no incision (P < .0001) [46].

The HR for failure with a PSM seems to increase with increasing Gleason score [4, 35, 42, 44]. In one study [34], however, after controlling for Gleason score, a PSM versus NSM with Gleason ≤7 was significantly predictive of failure, while PSM versus NSM with Gleason ≥8 was not (P = .115). Finally, Cao et al. noted that the Gleason score at the positive margin was predictive of biochemical recurrence [59]. Also, as the Gleason score of the main tumor rose, the concordance with the grade at the margin diminished: 99% for score 6 but 38% for score 9. By multivariate analysis, Gleason score at the margin predicted biochemical failure (P < .05) [59].

3.6. The Effect of PSM on Mortality Rate at 10 Years Is Also Modified by Stage and Grade (Table 6)

Table 6.

Modification of prostate cancer mortality rates according to stage or grade, at 10 years.

First author, yr n PSA Fail criterion, ng/mL PSM, % Median f/u, yr PCa death rate if PSM rate or HR by stage PSM rate by grade
PSM, % NSM, % P value, HR pT2 pT3 a-b Gleason ≥7
P value
Wright
2010 [45]
65,633 21.2 7 0.86 0.33 P < .001 17.7% 43.8%, P < .001 27.5% versus 18.3% P < .001
Boorjian 2010 [34] 11,729 ≥0.4 31.1 8.2 4 1 P = .15 HR 1.0 HR 2.1, P < .0001
Ploussard 2010 [34] 1943 >0.2 25.6 6.7 2.6 0.6 P = .006, 3.7 (1.5–9.5) 16.0 33.6–40.2

Three studies addressed the prostate cancer-specific death rate in the presence of a PSM. Two studies, one based on the SEER cancer data registry [45], found a significantly higher death rate at 10 years in the presence of a PSM [34, 45], namely, 0.86% versus 0.33%  (P < .001) and 2.6% versus 0.6% which was significant (P = .006). In another study, from the Mayo Clinic registry, a PSM was not a significant predictor of death among 11,729 cases (P = .15), but did predict death in the subset that was stage pT3 [34].

3.7. PSA Failure Rates after a PSM Are Influenced by Length and Number of PSM (Table 7) and by Location of PSM (Table 8)

Table 7.

Modification of PSA failure rates according to PSM length or number of PSM, at 10 years (unless specified).

First author, yr n Cohort years PSA fail criterion ng/mL Median f/u, yr PSM, overall %Biochemical failure rate According to length at margin According to number of PSM
PSM NSM P value,
HR
Fail rate with PSM HR and P value Fail rate with PSM HR and P value
Brimo
2010 [36]
108 1995–2008 ≥0.2 3.0 Inclusion criterion >3 mm:
as continuous variable
P = .004
P = .015
van Oort
2010 [47]
174* 1995–2005 ≥0.1 3.0 Inclusion criterion 29 >10 mm,
39% versus 21%
HR 2.3, P = .022 >1 versus 1 HR 1.46 P = .24
Lake
2010 [48]
1997 1996–2008 >0.2 4.1 18, 6.7 for T2 ext. 62, focal 36 16% P < .0001 extensive 62%,
focal 36%
negative 16%
P < .0001
Stephenson
2009 [46]
7160 1995–2006 ≥0.2 3.2 21 40 P < .001, HR = 2.3 extensive 66%, focal 34% HR 1.3, P = .004 multiple 83%,
one 17%
HR 1.4, MVA P = .002
Shikanov
2009 [49]
1398 2003–2008 ≥0.1 1.0 17** P < .0001, HR 4.4 <1 mm 1–3 mm >3 mm HR 0.26
HR 9.6,
P = .03
HR 14.8,
P = .01
? P = .3
for fail
Goetzl
2009 [50]
103 1998–2008 ≥0.2 23.3 ≥6 mm HR 1.7, P = .10 ≥3 PSM versus 1 versus 2 PSM HR 1.3, P = .06
Not sig.
Pfitzenmaier
2008 [29]
406 1990–2006 ≥0.2 5.2 17.2 64.3 20.5 P < .001,
HR 3.21
≥3 versus 1 P = .46
Marks
2007 [51]
158 1990–1998 ≥0.1 4 55 ≥5 mm HR 1.00, P = .26
Vis
2006 [52]
281 1994–1999 ≥0.1 6.75 23.5 33.3 7.9 P < .005 Focal versus extensive P = .49
Emerson
2005 [53]
369 1999–2003 ≥0.1 1.0 23 25.6 Median 3 mm P = .031 univariate but
.076 multivar.††
Mean 2.45 versus 1.80 P = .037
by univar. analysis
Sofer
2002 [54]
498 ≥0.2 4 yr 5 mo 19.7 HR 2.8, P < .05 ≥2, versus 1 P = NS
Kausik
2002 [31]
1202††† 1987–1995 >0.2 4.9 42 35 24 P = .0001 ≥2,
62% versus 1, 65%
P = NS
Fromont
2004 [55]
734 1992–1999 ≥0.2 25 >2 versus 1 HR 2.19,
P not done

*Study used 5-year biochemical recurrence.

**Robotic only.

But a predictive model nomogram does not improve accuracy of predicting failure after prostatectomy.

††Linear extent of positivity was associated with other pathologic variables such as preoperative PSA and tumor volume and not independently predictive when adjusted for Gleason score.

†††pT3 cases only.

Table 8.

Location of PSM and their modification of PSA failure rates, at 10 years (unless specified).

First author, yr n Cohort years PSA fail criterion, ng/mL Medi-an f/u, yr %PSM, overall %Biochemical failure rate Failure according to PSM location Most common location
PSM NSM P value, HR % fail: HR and P value
van Oort
2010 [47]
174*** 1995–2005 ≥0.1 3.0 Inclusion criterion 29 Post 43%,
ant 35%,
apex 33%
Lake
2010 [48]
1997 1996–2008 >0.2 4.1 18, 6.7 for T2 Ext. 62 focal 36 16 P < .0001 Apex
Ant
Posterolat
HR 2.24, P = .03, HR 3.7, P < .0001 HR 2.5, P = .002
Godoy
2009 [56]
246∗∗, ∗∗∗ 2000–2006 >0.15 2.8 Apical surgical, 3.2, apical soft tissue, 6.6; total 9.8 Apical surgical 48.6%, apical soft tissue, 4.7%***
Stephenson
2009 [46]
7160 1995–2006 ≥0.2 3.2 21 40 HR = 2.3 P < .001 Apex versus other HR 1.1, P = .3
Shikanov
2009 [49]
1398 2003–2008 ≥0.1 1.0 17** P < .0001 HR 4.4 Posterolateral P = .7 for fail Posterolat 45%;
apex 29%;
base 6%
Pfitzenmaier
2008 [29]
406 1990–2006 ≥0.2 5.2 17.2 64.3 20.5 P < .001 HR 3.21 Apex versus nonapex P = .21
Eastham
2007 [24]
2442 1983–2004 ≥0.2 2.9 11.2,
pT2 7,
pT3 22
25 10 P = .0005 HR 1.39 Posterolat.
Posterior
HR 2.80 HR 1.96 versus neg, P < .0005 Apex 37%,
posterolat 35%
Chuang
2007 [41]
135†∗∗∗ 1993–2004 ≥0.2 28.7*** 3.3 P < .0001 posterolat 61.5%
post 19%
ant 9%
Vis
2006 [52]
281 1994–1999 ≥0.1 6.75 23.5 33.3 7.9 P < .005 Apex versus other P = .65
Emerson
2005 [53]
369 1999–2003 ≥0.1 1.0 23 25.6 Location, gen'l:Ass'n for # of lateral sites: P = .437
P = .06
Pettus
2004 [57]
498 ≥0.2 4.4 19.7 HR 2.9, P < .05, See breakdown apex 21% nonapex 26% P = .25, HR 2.25, P < .05, HR 2.96 apex 5.6, nonapex 11.4
Kausik
2002 [31]
1202†† 1987–1995 >0.2 4.9 42 35 24 P = .0001 apex 46% post. 64%
Sofer
2002 [54]
734 1992–1999 ≥0.2 25 apex 45%; post. 32%

**Robotic only.

***Study used 5-year biochemical recurrence.

pT2 cases only.

††pT3 cases only.

Many pathologists report the length of a PSM. Using categorical PSM length cut-offs between 3 mm and 10 mm, length significantly affected outcome in many [36, 41, 4749, 58] but not all [5052] studies. Emerson et al. [53] found a PSM length >3 mm to be a significant outcome predictor by univariate analysis but it fell short of significance by multivariate analysis (P = .076) [53]. Moreover, the length of PSM by frozen section predicted residual tumor in additionally resected neurovascular bundles by multivariate analysis (P < .001) [55].

The number of PSMs probably lacks predictive value. In most studies, number of PSM was not significant for outcome [29, 31, 47, 49]. In two studies, multiple PSMs as opposed to a single PSM predicted failure (HR 1.4, P = .002 by multivariate analysis or HR = 2.19) [54, 58]. In another study, number of PSMs carried only borderline significance when ≥3 foci were positive compared to one (P = .06) and not significant for 2 foci compared to one [50]. Emerson et al. found that PSM number predicted failure by univariate analysis (P = .037) but lost most of its predictive value when adjusted for Gleason score (P = .076) [53].

The most common location of a PSM was in the posterior or posterolateral prostate [41, 47, 49], although one study found PSM equally common at the apex [24]. A positive apical soft tissue margin appears more consequential than a prostatic tissue margin [56]. Eastham et al. noted that the elevated risk of a posterior PSM means that “efforts to maintain adequate tissue covering including the routine excision of Denonvilliers' fascia and a component of the fat of the anterior rectal wall should be made in all patients…” [24]. Broken down by various sites, a posterolateral PSM predicted failure in most studies [24, 48] but not all [49].

Comparing various sites of PSM, the effect of an apical PSM was not significantly different from PSM at posterolateral or other sites [29, 52, 58], and another study concluded that the PSM location seemed not to predict failure [53]. However, in two studies, a positive posterolateral margin predicted failure while the apical margin did not [24, 57]. Possibly, residual apical tumor is less viable than residual tumor in the posterolateral region.

4. Conclusion

Prostate margin status is an important determinant of patient outcome after radical prostatectomy. In a 2010 College of American Pathologists survey, this feature was missing from 1% of pathology reports [60], thus the inclusion of this and other essential features is a quality assurance concern for pathologists. Most urologic pathologists endorse the reporting of the extensiveness of positive margins, expressed as length, number, or radial extent positive for tumor cells; all these measurements have some relevance toward outcome. The presence of a positive margin confers a 2-3-fold increased hazard ratio for biochemical recurrence—modified by stage and tumor grade—and necessitates close clinical followup.

References

  • 1.Epstein JI, Sauvageot J. Do close but negative margins in radical prostatectomy specimens increase the risk of postoperative progression? Journal of Urology. 1997;157(1):241–243. [PubMed] [Google Scholar]
  • 2.Emerson RE, Koch MO, Daggy JK, Cheng L. Closest distance between tumor and resection margin in radical prostatectomy specimens: lack of prognostic significance. American Journal of Surgical Pathology. 2005;29(2):225–229. doi: 10.1097/01.pas.0000146008.47191.76. [DOI] [PubMed] [Google Scholar]
  • 3.Tan PH, Cheng L, Srigley JR, et al. International society of urological pathology (ISUP) consensus conference on handling and staging of radical prostatectomy specimens. Working group 5: surgical margins. Modern Pathology. 2011;24(1):48–57. doi: 10.1038/modpathol.2010.155. [DOI] [PubMed] [Google Scholar]
  • 4.Orvieto MA, Alsikafi NF, Shalhav AL, et al. Impact of surgical margin status on long-term cancer control after radical prostatectomy. BJU International. 2006;98(6):1199–1203. doi: 10.1111/j.1464-410X.2006.06563.x. [DOI] [PubMed] [Google Scholar]
  • 5.Simon MA, Kim S, Soloway MS. Prostate specific antigen recurrence rates are low after radical retropubic prostatectomy and positive margins. Journal of Urology. 2006;175(1):140–144. doi: 10.1016/S0022-5347(05)00050-9. [DOI] [PubMed] [Google Scholar]
  • 6.Evans AJ, Henry PC, Van Der Kwast TH, et al. Interobserver variability between expert urologic pathologists for extraprostatic extension and surgical margin status in radical prostatectomy specimens. American Journal of Surgical Pathology. 2008;32(10):1503–1512. doi: 10.1097/PAS.0b013e31817fb3a0. [DOI] [PubMed] [Google Scholar]
  • 7.Williams SB, D’Amico AV, Weinberg AC, Gu X, Lipsitz SR, Hu JC. Population-based determinants of radical prostatectomy surgical margin positivity. BJU International. 2011;107:1734–1740. doi: 10.1111/j.1464-410X.2010.09662.x. [DOI] [PubMed] [Google Scholar]
  • 8.Coelho RF, Rocco B, Patel MB, et al. Retropubic, laparoscopic, and robot-assisted radical prostatectomy: a critical review of outcomes reported by high-volume centers. Journal of Endourology. 2010;24(12):2003–2015. doi: 10.1089/end.2010.0295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Sciarra A, Cristini C, von Heland M, Salciccia S, Gentile V. Randomized trial comparing an anterograde versus a retrograde approach to open radical prostatectomy: results in terms of positive margin rate. Journal of the Canadian Urological Association. 2010;4(3):192–198. doi: 10.5489/cuaj.09089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Williams SB, Chen MH, D’Amico AV, et al. Radical retropubic prostatectomy and robotic-assisted laparoscopic prostatectomy: likelihood of positive surgical margin(s) Urology. 2010;76:1097–1101. doi: 10.1016/j.urology.2009.11.079. [DOI] [PubMed] [Google Scholar]
  • 11.Coelho RF, Chauhan S, Orvieto MA, Palmer KJ, Rocco B, Patel VR. Predictive factors for positive surgical margins and their locations after robot-assisted laparoscopic radical prostatectomy. European Urology. 2010;57(6):1022–1029. doi: 10.1016/j.eururo.2010.01.040. [DOI] [PubMed] [Google Scholar]
  • 12.Guru KA, Perlmutter AE, Sheldon MJ, et al. Apical margins after robot-assisted radical prostatectomy: does technique matter? Journal of Endourology. 2009;23(1):123–127. doi: 10.1089/end.2008.0398. [DOI] [PubMed] [Google Scholar]
  • 13.Bong GW, Ritenour CWM, Osunkoya AO, Smith MT, Keane TE. Evaluation of modern pathological criteria for positive margins in radical prostatectomy specimens and their use for predicting biochemical recurrence. BJU International. 2009;103(3):327–331. doi: 10.1111/j.1464-410X.2008.08075.x. [DOI] [PubMed] [Google Scholar]
  • 14.Hakimi AA, Blitstein J, Feder M, Shapiro E, Ghavamian R. Direct comparison of surgical and functional outcomes of robotic-assisted versus pure laparoscopic radical prostatectomy: single-surgeon experience. Urology. 2009;73(1):119–123. doi: 10.1016/j.urology.2008.08.491. [DOI] [PubMed] [Google Scholar]
  • 15.Laurila TAJ, Huang W, Jarrard DF. Robotic-assisted laparoscopic and radical retropubic prostatectomy generate similar positive margin rates in low and intermediate risk patients. Urologic Oncology. 2009;27(5):529–533. doi: 10.1016/j.urolonc.2008.05.001. [DOI] [PubMed] [Google Scholar]
  • 16.Terakawa T, Miyake H, Tanaka K, Takenaka A, Inoue TA, Fujisawa M. Surgical margin status of open versus laparoscopic radical prostatectomy specimens. International Journal of Urology. 2008;15(8):704–708. doi: 10.1111/j.1442-2042.2008.02057.x. [DOI] [PubMed] [Google Scholar]
  • 17.Smith Jr. JA, Chan RC, Chang SS, et al. A comparison of the incidence and location of positive surgical margins in robotic assisted laparoscopic radical prostatectomy and open retropubic radical prostatectomy. Journal of Urology. 2007;178(6):2385–2390. doi: 10.1016/j.juro.2007.08.008. [DOI] [PubMed] [Google Scholar]
  • 18.Silva E, Ferreira U, Silva GD, et al. Surgical margins in radical prostatectomy: a comparison between retropubic and laparoscopic surgery. International Urology and Nephrology. 2007;39(3):865–869. doi: 10.1007/s11255-006-9128-z. [DOI] [PubMed] [Google Scholar]
  • 19.Touijer K, Kuroiwa K, Eastham JA, et al. Risk-adjusted analysis of positive surgical margins following laparoscopic and retropubic radical prostatectomy. European Urology. 2007;52(4):1090–1096. doi: 10.1016/j.eururo.2006.12.014. [DOI] [PubMed] [Google Scholar]
  • 20.Iczkowski KA, Hossain D, Torkko KC, et al. Preoperative prediction of unifocal, unilateral, margin-negative, and small volume prostate cancer. Urology. 2008;71(6):1166–1171. doi: 10.1016/j.urology.2007.10.013. [DOI] [PubMed] [Google Scholar]
  • 21.Rodriguez AR, Rachna K, Pow-Sang JM. Laparoscopic extraperitoneal radical prostatectomy: impact of the learning curve on perioperative outcomes and margin status. Journal of the Society of Laparoendoscopic Surgeons. 2010;14(1):6–13. doi: 10.4293/108680810X12924466009249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Yee DS, Narula N, Amin MB, Skarecky DW, Ahlering TE. Robot-assisted radical prostatectomy: current evaluation of surgical margins in clinically low-, intermediate-, and high-risk prostate cancer. Journal of Endourology. 2009;23(9):1461–1465. doi: 10.1089/end.2009.0144. [DOI] [PubMed] [Google Scholar]
  • 23.Liss M, Osann K, Ornstein D. Positive surgical margins during robotic radical prostatectomy: a contemporary analysis of risk factors. BJU International. 2008;102(5):603–607. doi: 10.1111/j.1464-410X.2008.07672.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Eastham JA, Kuroiwa K, Ohori M, et al. Prognostic significance of location of positive margins in radical prostatectomy specimens. Urology. 2007;70(5):965–969. doi: 10.1016/j.urology.2007.08.040. [DOI] [PubMed] [Google Scholar]
  • 25.Williams AK, Chalasani V, Martínez CH, et al. Cumulative summation graphs are a useful tool for monitoring positive surgical margin rates in robot-assisted radical prostatectomy. BJU International. 2011;107(10):1648–1652. doi: 10.1111/j.1464-410X.2010.09634.x. [DOI] [PubMed] [Google Scholar]
  • 26.Ahyai SA, Zacharias M, Isbarn H, et al. Prognostic significance of a positive surgical margin in pathologically organ-confined prostate cancer. BJU International. 2010;106(4):478–483. doi: 10.1111/j.1464-410X.2009.09162.x. [DOI] [PubMed] [Google Scholar]
  • 27.Tsao AK, Smaldone MD, Averch TD, Jackman SV. Robot-assisted laparoscopic prostatectomy: the first 100 patients-improving patient safety and outcomes. Journal of Endourology. 2009;23(3):481–484. doi: 10.1089/end.2008.0241. [DOI] [PubMed] [Google Scholar]
  • 28.Sæther T, Sørlien LT, Viset T, Lydersen S, Angelsen A. Are positive surgical margins in radical prostatectomy specimens an independent prognostic marker? Scandinavian Journal of Urology and Nephrology. 2008;42(6):514–521. doi: 10.1080/00365590802299585. [DOI] [PubMed] [Google Scholar]
  • 29.Pfitzenmaier J, Pahernik S, Tremmel T, Haferkamp A, Buse S, Hohenfellner M. Positive surgical margins after radical prostatectomy: do they have an impact on biochemical or clinical progression? BJU International. 2008;102(10):1413–1418. doi: 10.1111/j.1464-410X.2008.07791.x. [DOI] [PubMed] [Google Scholar]
  • 30.Swanson GP, Riggs M, Hermans M. Pathologic findings at radical prostatectomy: risk factors for failure and death. Urologic Oncology. 2007;25(2):110–114. doi: 10.1016/j.urolonc.2006.06.003. [DOI] [PubMed] [Google Scholar]
  • 31.Kausik SJ, Blute ML, Sebo TJ, et al. Prognostic significance of positive surgical margins in patients with extraprostatic carcinoma after radical prostatectomy. Cancer. 2002;95(6):1215–1219. doi: 10.1002/cncr.10871. [DOI] [PubMed] [Google Scholar]
  • 32.Menon M, Bhandari M, Gupta N, et al. Biochemical recurrence following robot-assisted radical prostatectomy: analysis of 1384 patients with a median 5-year follow-up. European Urology. 2010;58(6):838–846. doi: 10.1016/j.eururo.2010.09.010. [DOI] [PubMed] [Google Scholar]
  • 33.Eastham JA, Kattan MW, Riedel E, et al. Variations among individual surgeons in the rate of positive surgical margins in radical prostatectomy specimens. Journal of Urology. 2003;170(6):2292–2295. doi: 10.1097/01.ju.0000091100.83725.51. [DOI] [PubMed] [Google Scholar]
  • 34.Ploussard G, Agamy MA, Alenda O. Impact of positive surgical margins on prostate-specific antigen failure after radical prostatectomy in adjuvant treatment-naïve patients. BJU International. 2011;107:1748–1754. doi: 10.1111/j.1464-410X.2010.09728.x. [DOI] [PubMed] [Google Scholar]
  • 35.Budäus L, Isbarn H, Eichelberg C, et al. Biochemical recurrence after radical prostatectomy: multiplicative interaction between surgical margin status and pathological stage. Journal of Urology. 2010;184(4):1341–1346. doi: 10.1016/j.juro.2010.06.018. [DOI] [PubMed] [Google Scholar]
  • 36.Brimo F, Partin AW, Epstein JI. Tumor grade at margins of resection in radical prostatectomy specimens is an independent predictor of prognosis. Urology. 2010;76(5):1206–1209. doi: 10.1016/j.urology.2010.03.090. [DOI] [PubMed] [Google Scholar]
  • 37.Hsu CY, Wildhagen MF, Van Poppel H, Bangma CH. Prognostic factors for and outcome of locally advanced prostate cancer after radical prostatectomy. BJU International. 2010;105(11):1536–1540. doi: 10.1111/j.1464-410X.2009.09054.x. [DOI] [PubMed] [Google Scholar]
  • 38.Ficarra V, Novara G, Secco S, et al. Predictors of positive surgical margins after laparoscopic robot assisted radical prostatectomy. Journal of Urology. 2009;182(6):2682–2688. doi: 10.1016/j.juro.2009.08.037. [DOI] [PubMed] [Google Scholar]
  • 39.Kwak KW, Lee HM, Choi HY. Impact of capsular incision on biochemical recurrence after radical perineal prostatectomy. Prostate Cancer and Prostatic Diseases. 2010;13(1):28–33. doi: 10.1038/pcan.2009.19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Hashimoto K, Masumori N, Takei F, et al. Prognostic value of surgical margin status for biochemical recurrence following radical prostatectomy. Japanese Journal of Clinical Oncology. 2008;38(1):31–35. doi: 10.1093/jjco/hym135. [DOI] [PubMed] [Google Scholar]
  • 41.Chuang AY, Nielsen ME, Hernandez DJ, Walsh PC, Epstein JI. The significance of positive surgical margin in areas of capsular incision in otherwise organ confined disease at radical prostatectomy. Journal of Urology. 2007;178(4):1306–1310. doi: 10.1016/j.juro.2007.05.159. [DOI] [PubMed] [Google Scholar]
  • 42.Karakiewicz PI, Eastham JA, Graefen M, et al. Prognostic impact of positive surgical margins in surgically treated prostate cancer: multi-institutional assessment of 5831 patients. Urology. 2005;66(6):1245–1250. doi: 10.1016/j.urology.2005.06.108. [DOI] [PubMed] [Google Scholar]
  • 43.Swindle P, Eastham JA, Ohori M, et al. Do margins matter? The prognostic significance of positive surgical margins in radical prostatectomy specimens. Journal of Urology. 2005;174(3):903–907. doi: 10.1097/01.ju.0000169475.00949.78. [DOI] [PubMed] [Google Scholar]
  • 44.Alkhateeb S, Alibhai S, Fleshner N, et al. Impact of positive surgical margins after radical prostatectomy differs by disease risk group. Journal of Urology. 2010;183(1):145–150. doi: 10.1016/j.juro.2009.08.132. [DOI] [PubMed] [Google Scholar]
  • 45.Wright JL, Dalkin BL, True LD, et al. Positive surgical margins at radical prostatectomy predict prostate cancer specific mortality. Journal of Urology. 2010;183(6):2213–2218. doi: 10.1016/j.juro.2010.02.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Stephenson AJ, Wood DP, Kattan MW, et al. Location, extent and number of positive surgical margins do not improve accuracy of predicting prostate cancer recurrence after radical prostatectomy. Journal of Urology. 2009;182(4):1357–1363. doi: 10.1016/j.juro.2009.06.046. [DOI] [PubMed] [Google Scholar]
  • 47.Van Oort IM, Bruins HM, Kiemeney LALM, Knipscheer BC, Witjes JA, Hulsbergen-Van De Kaa CA. The length of positive surgical margins correlates with biochemical recurrence after radical prostatectomy. Histopathology. 2010;56(4):464–471. doi: 10.1111/j.1365-2559.2010.03497.x. [DOI] [PubMed] [Google Scholar]
  • 48.Lake AM, He C, Wood DP., Jr. Focal positive surgical margins decrease disease-free survival after radical prostatectomy even in organ-confined disease. Urology. 2010;76:1212–1216. doi: 10.1016/j.urology.2009.08.088. [DOI] [PubMed] [Google Scholar]
  • 49.Shikanov S, Song J, Royce C, et al. Length of positive surgical margin after radical prostatectomy as a predictor of biochemical recurrence. Journal of Urology. 2009;182(1):139–144. doi: 10.1016/j.juro.2009.02.139. [DOI] [PubMed] [Google Scholar]
  • 50.Goetzl MA, Krebill R, Griebling TL, Thrasher JB. Predictors of positive surgical margins after radical perineal prostatectomy. The Canadian Journal of Urology. 2009;16(2):4553–4557. [PubMed] [Google Scholar]
  • 51.Marks RA, Koch MO, Lopez-Beltran A, Montironi R, Juliar BE, Cheng L. The relationship between the extent of surgical margin positivity and prostate specific antigen recurrence in radical prostatectomy specimens. Human Pathology. 2007;38(8):1207–1211. doi: 10.1016/j.humpath.2007.01.006. [DOI] [PubMed] [Google Scholar]
  • 52.Vis AN, Schröder FH, van der Kwast TH. The actual value of the surgical margin status as a predictor of disease progression in men with early prostate cancer. European Urology. 2006;50(2):258–265. doi: 10.1016/j.eururo.2005.11.030. [DOI] [PubMed] [Google Scholar]
  • 53.Emerson RE, Koch MO, Jones TD, Daggy JK, Juliar BE, Cheng L. The influence of extent of surgical margin positivity on prostate specific antigen recurrence. Journal of Clinical Pathology. 2005;58(10):1028–1032. doi: 10.1136/jcp.2005.025882. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Sofer M, Hamilton-Nelson KL, Civantos F, Soloway MS. Positive surgical margins after radical retropubic prostatectomy: the influence of site and number on progression. Journal of Urology. 2002;167(6):2453–2456. [PubMed] [Google Scholar]
  • 55.Fromont G, Cathelineau X, Rozet F, Prapotnich D, Validire P, Vallancien G. Impact of margin size on the incidence of local residual tumor after laparoscopic radical prostatectomy. Journal of Urology. 2004;172(5):1845–1847. doi: 10.1097/01.ju.0000140266.51848.92. [DOI] [PubMed] [Google Scholar]
  • 56.Godoy G, Tareen BU, Lepor H. Is the apical soft tissue margin a better predictor of biochemical recurrence than the surgical specimen? doi: 10.1016/j.urolonc.2009.05.009. Urologic Oncology. In press. [DOI] [PubMed] [Google Scholar]
  • 57.Pettus JA, Weight CJ, Thompson CJ, Middleton RG, Stephenson RA. Biochemical failure in men following radical retropubic prostatectomy: impact of surgical margin status and location. Journal of Urology. 2004;172(1):129–132. doi: 10.1097/01.ju.0000132160.68779.96. [DOI] [PubMed] [Google Scholar]
  • 58.Chuang AY, Epstein JI. Positive surgical margins in areas of capsular incision in otherwise organ-confined disease at radical prostatectomy: histologic features and pitfalls. American Journal of Surgical Pathology. 2008;32(8):1201–1206. doi: 10.1097/PAS.0b013e318162a8bf. [DOI] [PubMed] [Google Scholar]
  • 59.Cao D, Kibel AS, Gao F, Tao Y, Humphrey PA. The gleason score of tumor at the margin in radical prostatectomy is predictive of biochemical recurrence. American Journal of Surgical Pathology. 2010;34(7):994–1001. doi: 10.1097/PAS.0b013e3181e103bf. [DOI] [PubMed] [Google Scholar]
  • 60.Idowu MO, Bekeris LG, Raab S, Ruby SG, Nakhleh RE. Adequacy of surgical pathology reporting of cancer: a college of American pathologists q-probes study of 86 institutions. Archives of Pathology and Laboratory Medicine. 2010;134(7):969–974. doi: 10.5858/2009-0412-CP.1. [DOI] [PubMed] [Google Scholar]

Articles from Prostate Cancer are provided here courtesy of Wiley

RESOURCES