Abstract
Purpose:
While surgical approach has recently been associated with positive surgical margin (PSM) after partial nephrectomy (PN) for small (<4 cm) renal masses, its impact on margin status for large (>4 cm) masses is unclear. We sought to evaluate the relationship between margin and surgical approach in patients undergoing PN for large renal masses.
Materials and Methods:
Using the National Cancer Database (NCDB), we identified patients undergoing PN for pathological T1b and T2a renal-cell carcinoma diagnosed from 2010 to 2013. Conversions to open surgery were also included in our analysis. The primary outcome was surgical margin status. Multivariable regression modeling was performed to identify factors associated with PSM. A propensity score matching analysis was then performed to evaluate the impact of margin status on overall survival (OS).
Results:
Of the 7495 patients undergoing PN for pT1b and pT2a renal masses over the study period, 504 (6.7%) had PSM. On multivariable analysis, surgical approach (laparoscopic or robot assisted vs open) was not significantly associated with surgical margin (p = 0.12 and p = 0.44, respectively). Tumor stage (T2a vs T1b) also showed no significant association (p = 0.18). A subsequent multivariable analysis using clinical staging showed that surgical approach (p = 0.28 and p = 0.54, respectively), tumor stage (p = 0.78), and conversion-to-open surgery (p = 0.98) had no significant association with PSM. Propensity score matched analysis showed that PSM was not significantly associated with OS (hazard ratio 0.95 [95% confidence interval 0.47–1.92] p = 0.88).
Conclusion:
In a contemporary nation-wide cohort, surgical approach was not associated with an increased risk of PSM for large, noninvasive renal masses. Furthermore, increased size from T1b to T2a was not associated with an increased risk of PSM. These data suggest that surgical approach should be selected by surgeon comfort level with an individual tumor, rather than the size of the tumor itself.
Introduction
There has been an increasing utilization of partial nephrectomy (PN) in the management of renal tumors over the past decade. 1 Cancer-specific outcomes between radical nephrectomy and PN have been shown to be comparable, with nephron preservation also conferring decreased risk of chronic renal insufficiency and initiation of dialysis with potentially improved overall and cardiovascular survival. 2 –5 For renal masses <4 cm, recent guidelines advocate that PN should be offered to all patients in whom an intervention is indicated and possess a tumor amenable to this approach. 6,7 Moreover, several studies have demonstrated the oncological and functional efficacy of PN in the surgical management of larger renal masses. 8 –10
The ultimate goal of PN is the complete removal of tumor, while attaining cancer-free margins. 11 The effects of positive surgical margin (PSM) on oncologic outcomes after PNs remain unclear. Historically, margin status was not believed to impact oncologic outcomes, 12 –14 but several recent studies have suggested that PSMs play an important role in outcomes 15 –17 and may be influenced by surgical approach. 18
While the influence of PSMs on oncologic outcomes remains highly contested, margin status nevertheless serves as a quality indicator for oncological control in PN. 11 Most of the available literature discussing PN and margin status, especially at the population level, has focused mainly on small renal masses. 13,17,18 In this study, we sought to evaluate the relationship between PSMs and surgical approach in a national, contemporary cohort of patients undergoing PN for large (>4 cm) renal masses and to identify predictors of PSMs in this population, and secondarily to evaluate the impact of PSM on survival in this population.
Materials and Methods
Data source and patient selection
The National Cancer Database (NCDB), a joint program of the Commission on Cancer of the American College of Surgeons and the American Cancer Society, is a nationwide oncology outcomes database for more than 1500 Commission-accredited cancer programs in the United States and Puerto Rico that capture ∼70% of all newly diagnosed cases of cancer.
We identified patients aged 18 years and older diagnosed with renal-cell carcinoma (RCC) from 2010 to 2013, who underwent PN and were found to have AJCC stage pT1b or pT2a RCC. We specifically chose 2010 as the starting year of this study because the surgical approach variable became available in NCDB. Patients with incomplete staging information, surgical margin status, or surgical treatment modality were excluded.
Demographic and clinical characteristics
Age at diagnosis, race, gender, insurance status, annual median income, geographic region, Charlson-Deyo comorbidity score, tumor size, tumor stage, tumor grade, tumor histology, surgical approach, hospital type, and surgical margin status were obtained using NCDB data. The primary outcome of the study was surgical margin status. PSM status was identified as residual tumor not otherwise specified (NOS) (1), microscopic (2), or macroscopic (3) residual tumor. Histologic subtypes of RCC were identified by their ICD-O-3 codes: 8140, 8310, and 8312 (clear cell); 8255, 8323, 8318, and 8319 (mixed, collecting duct, or sarcomatoid); 8260 (papillary); 8316 (cystic); and 8317 (chromophobe). Surgical approach was defined as either open partial nephrectomy (OPN), laparoscopic partial nephrectomy (LPN), robot-assisted partial nephrectomy (RAPN), or conversion-to-open partial nephrectomy (CPN). Treatment facility volume was divided into tertiles by volume of PNs performed within the institution. Institution type was classified as academic program or nonacademic.
Statistical analysis
Statistical analyses were performed using STATA version 14.1 (College Station, TX) and SAS version 9.4 (Cary, NC). Frequencies and proportions were used to characterize the study population. Demographic, facility-related, and prognostic characteristics were compared across three procedure groups using χ2 tests. Multivariate logistic regression analysis was performed to identify factors independently associated with PSMs. Results from the multivariable logistic regression model are reported as odds ratios (ORs) with 95% confidence intervals (CIs) and p-values. To evaluate impact of margin status on survival, a propensity score-matched analysis was employed to account for potential confounding factors in the relationship between margin status and overall survival (OS). We developed a multivariable logistic regression model to estimate a patient's propensity of having PSMs. Factors included in the logistic regression model were as follows: age at diagnosis, sex, race, median household income quartiles, quartiles of the percentage of individuals with less than a high school education, geography, Charlson-Deyo score, insurance, facility distance, center volume tertiles, facility location, facility type, year of diagnosis, surgical approach, laterality, histology, grade, tumor size using pathologic staging, and lymph vascular invasion. The estimated propensity score was then used to match patients with similar propensity to having PSMs based on 1:1 Greedy matching algorithm without replacement and with a caliper distance of 0.2 of the standard deviation of the logit propensity score. The success in achieving covariate balance was assessed using standardized differences of mean < 10% indicative of acceptable balance. We plotted Kaplan-Meier curves stratified by margin status for the propensity score-matched cohort and evaluated difference in OS between the groups with log-rank test. Subsequently, a conditional Cox proportional hazards model was constructed to assess the association between margin status and OS. The proportional hazards assumption of the Cox models was checked using the Schoenfeld residual method, with no evidence of violation found. Hazard ratio (HR) with 95% CI was reported. Follow-up times for patients were calculated from the time they got the cancer diagnosis to death, December 2012, or loss to follow-up, whichever came first. Patients diagnosed in 2013 were excluded from the survival analysis, given the absence of vital information and short follow-up time.
To account for excluded pT3a patients staged at cT1b/cT2a, a sensitivity analysis was performed. We identified a new study cohort of 6555 patients and repeated the multivariable analysis evaluating factors associated with PSM. Furthermore, conversions to open surgery (n = 122) were also included in our analysis. All tests of significance were two sided and significant results were defined as p < 0.05.
Results
Between 2010 and 2013, 7495 patients underwent PN for pT1b and pT2a renal masses. Of these, 2813 (37.5%), 882 (11.8%), and 3800 (50.7%) underwent RAPN, LPN, and OPN, respectively. Patient demographics, hospital characteristics, and baseline clinicopathological features stratified by surgical approach can be found in Table 1. Overall, PSMs were observed in 504 (6.7%) cases. On multivariable analysis (Table 2), surgical approach (LPN or RAPN vs OPN) was not significantly associated with PSM (p = 0.12 and p = 0.44, respectively). Likewise, tumor stage (T2a vs T1b) showed no significant association (p = 0.18). Significant predictors of PSM include age >60 years (OR 1.57 [95% CI 1.01–2.44] p = 0.05), African-American race (OR 1.52 [95% CI 1.06–2.17] p = 0.02), education level (OR 1.48 [95% CI 1.03–2.14] p = 0.03), rural setting (OR 4.82 [95% CI 2.45–9.46] p < 0.001), PN at a nonacademic center (OR 1.57 [95% CI 1.15–2.15] p = 0.004), mixed histology (OR 1.84 [95% CI 1.04–3.24] p = 0.04), and undifferentiated tumor grade (OR 2.42 [95% CI 1.26- 4.65] p < 0.01).
Demographics and Baseline Characteristics of Patients Undergoing Partial Nephrectomy from 2010 to 2013 Stratified by Surgical Approach
CCI = Charlson comorbidity index; LPN = laparoscopic partial nephrectomy; LVI = lymphovascular invasion; OPN = open partial nephrectomy; RAPN = robot-assisted partial nephrectomy.
Multivariable Logistic Regression Analysis of Factors Associated with Positive Surgical Margin
CI = confidence interval; OR = odds ratio.
Upon running a subsequent multivariable analysis on the newly identified, clinically staged cohort of 6555 patients from the sensitivity analysis (Appendix Table A1), surgical approach (LPN or RAPN vs OPN) was not significantly associated with PSM (p = 0.28 and p = 0.54, respectively), nor was tumor stage (T2a vs T1b, p = 0.78) (Table 3). Moreover, conversion-to-open surgery showed no significance (CPN vs OPN, p = 0.98) (Table 4).
Multivariable Logistic Regression Analysis of Factors Associated with Positive Surgical Margin in Patients with Stage cT1b and cT2a
Multivariable Logistic Regression Analysis of Factors Associated with Positive Surgical Margin in Patients with Stage cT1b and cT2a (Including Conversion-to-Open Partial Nephrectomy)
CPN = conversion-to-open partial nephrectomy.
After excluding 3470 patients from the OS analysis attributable to being diagnosed in 2013 or for having more than one malignancy, 263 patients (6.5%) had a PSM within the cohort of 4025 patients (Appendix Table A2). In the unmatched cohort, significant differences existed in terms of margin status by surgical approach (p = 0.02), patient age (p = 0.002), insurance type (p = 0.01), center volume (p < 0.001), facility type (p < 0.001), tumor histology (p = 0.002), and grade (p = 0.02). However, after 1:1 propensity score matching, the 243 (matching rate: 92.4%) patients with a PSM to patients with negative surgical margin, the groups were well balanced, and none of the aforementioned variables retained their significance. Kaplan-Meier curves illustrating OS are shown in Figure 1. Margin status was not significantly associated with OS in the propensity score-matched cohort (HR 0.95 [95% CI 0.47–1.92] p = 0.88).

Kaplan-Meier estimates of overall survival based on margin status.
Discussion
There has been a rapid adoption and increasing use of minimally invasive surgical techniques in urologic surgery, particularly for renal surgery and PN. 1 Whether surgical modality is related to PSMs after PNs remains controversial, as there are contradicting studies both demonstrating and refuting the relationship. 13,17 –19 Using contemporary data from the NCDB, we demonstrate that surgical approach is not independently associated with increased risk of PSMs in patients undergoing PN for large (>4 cm), cT1b and cT2a masses. This is in contrast to the recent study by Tabayoyong and colleagues, which looked at patients undergoing PN for clinical T1a RCC and concluded that minimally invasive surgical approaches were associated with higher rates of PSMs. 18 In support of our findings, Ficarra and coworkers demonstrated in a large retrospective matched-pair analysis that the rate of PSM after an OPN was comparable to that of RAPN, 5.5% and 5.7%, respectively. 20 Similarly, Porpiglia and colleagues found no significant differences in rates of PSM as dictated by surgical approach when looking at data from patients undergoing PN for cT1b tumors. 19
Another important finding was that PN performed at an academic facility was independently associated with lower rates of PSMs. Since we were unable to account for individual surgeon characteristics or volume, the reason behind the protective effect against PSM afforded by an academic center is speculative. However, it is possible that a more experienced cohort of surgeons is operating in these settings. As a result, these surgeons may be better equipped to handle the greater technical difficulty of performing a PN in large masses, resulting in a different rate of observed PSM. The implication from this hypothesis makes a compelling argument for the consolidation of care at academic centers, especially for the more technically challenging cases, thereby allowing for better quality of oncologic care.
In addition, we found that increasing tumor size (T1b vs T2a) did not confer increased risk of having a PSM on multivariable analysis. Although current guidelines advocate for the management of T1 masses with PN when amenable, 6,7 several studies have demonstrated the technical feasibility, oncologic efficacy, and safety for performing PN on larger tumors. 8 –10 A study by Benoit and coworkers showed that PN on tumors >7 cm had similar outcomes to tumors 4 to 7 cm with respect to Trifecta attainment (a combination of negative surgical margins, functional preservation, and complication-free recovery). 21 Conversely, in a recent population-based report using data from the Ontario Cancer Registry, it was found that tumor stage was significantly associated with PSM when comparing pT1b to pT1a masses. 13 However, no significant association was found when looking solely at tumor size per 1-cm increments. 13 Our study failed to find any relationship between categorical tumor size and rates of PSM, suggesting that size alone should not alter surgical approach, and should rather be dictated by surgeon comfort level with an individual tumor.
Currently, the relationship between PSM and age at the time of surgery remains unclear. Findings from our analysis indicate that increasing age beyond 60 was associated with an increased risk for PSM, which is in contrast to findings demonstrated in a recent study by Ani and coworkers. 13 Schiavina and colleagues hypothesize that the independent predictive value of age at the time of surgery for PSM after a PN largely revolves around the idea of increased renal and cardiovascular comorbidities that most commonly exist in older patients. 22 As renal function deterioration and rate of end-stage renal disease correlate with increasing age, 23,24 urologists may be more inclined to preserve as much parenchyma as possible, which as a result may lead to an increased risk of PSM. 22 Furthermore, the age-associated anesthesia mortality risk with elderly patients 25 could serve as an impetus for a more expeditious surgery.
While the significance of obtaining negative surgical margins as a surrogate for complete tumor removal has been shown in studies involving bladder, prostate, and breast cancer, 26 –28 the consequences are less clearly defined for renal masses and remain controversial. 12 –17 The main limitations of the various studies looking at the oncologic impact of PSMs in PNs are the short- to intermediate-term follow-up and small sample sizes. 17 It has also been argued that the clinical relevance of PSM after a PN stems largely from the intrinsic histopathological properties of the primary renal lesion with regard to the tumor grade and stage. 16 In this study, undifferentiated tumor grade was significantly associated with PSM. However, margin status did not affect OS (p = 0.88). This is not surprising, given our short follow-up period, which was dictated by the fact that 2010 marked the first year that data regarding surgical approach were available in NCDB. Longer follow-up is needed to fully understand the survival implication of PSMs, especially in larger or more complex masses.
The findings of our study must be interpreted within the context of the study design. The retrospective nature of the study and lack of standardization of surgical modalities is a limitation. We could not account for individual surgeon volume, and instead used center volume. This may be a reason for why center volume was not predictive of PSM, but the type of center (academic vs nonacademic) was. Furthermore, because of limitation of the database, we were unable to account for cancer-specific or recurrence-free survival. We were also not able to account for tumor complexity such as nephrometry score 29 ; however, with our analysis, we were able maintain a relatively homogenous cohort of patients with large, noninvasive tumors. Finally, we were unable to account for margin length, which some have speculated to have important implications.
Conclusions
In a contemporary national cohort, surgical approach was not associated with increased risk of PSM for large, noninvasive renal masses. Furthermore, increased size from T1b to T2a was also not associated with increased risk. These data suggest that surgical approach should be dictated by surgeon comfort level with an individual tumor, and not by size criteria alone.
Footnotes
Acknowledgment
X.W. was partially supported by the following grant: Clinical and Translational Science Center at Weill Cornell Medical College (UL-TR000457-06).
Author Disclosure Statement
No competing financial interests exist.
Abbreviations Used
Propensity Score-Matched Analysis
| Characteristic | Before propensity score matching | After propensity score matching | ||||||
|---|---|---|---|---|---|---|---|---|
| Positive margin (%) | Negative margin (%) | Standardized difference (%) | p | Positive margin (%) | Negative margin (%) | Standardized difference (%) | p | |
| Overall | 263 (6.5) | 3762 (93.5) | 243 (50.0) | 243 (50.0) | ||||
| Surgical Approach | 0.02 | 0.76 | ||||||
| RAPN | 112 (42.6) | 1293 (34.4) | 16.9 | 104 (42.8) | 98 (40.3) | 5.0 | ||
| LPN | 32 (12.2) | 490 (13.0) | −2.6 | 31 (12.8) | 36 (14.8) | −6.0 | ||
| OPN or unspecified | 119 (45.3) | 1979 (52.6) | −14.8 | 108 (44.4) | 109 (44.9) | −0.8 | ||
| Age | 0.002 | 0.99 | ||||||
| <50 | 37 (14.1) | 838 (22.3) | −21.4 | 26 (10.7) | 25 (10.3) | 1.3 | ||
| 50–59 | 70 (26.6) | 1118 (29.7) | −6.9 | 68 (28.0) | 71 (29.2) | −2.7 | ||
| 60–79 | 143 (54.4) | 1681 (44.7) | 19.5 | 136 (56.0) | 134 (55.1) | 1.7 | ||
| 80+ | 13 (4.9) | 125 (3.3) | 8.1 | 13 (5.4) | 13 (5.4) | 0.0 | ||
| Sex | 0.97 | 0.46 | ||||||
| Male | 168 (63.9) | 2408 (64.0) | −0.3 | 154 (63.4) | 146 (60.1) | 6.8 | ||
| Female | 95 (36.1) | 1354 (36.0) | 0.3 | 89 (36.6) | 97 (39.9) | −6.8 | ||
| Race | 0.06 | 0.38 | ||||||
| White | 202 (76.8) | 3106 (82.6) | −14.3 | 188 (77.4) | 191 (78.6) | −3.0 | ||
| African American | 45 (17.1) | 484 (12.9) | 11.9 | 42 (17.3) | 42 (18.5) | −3.2 | ||
| Other | 16 (6.1) | 172 (4.6) | 6.7 | 13 (5.4) | 7 (2.9) | 12.5 | ||
| Income | 0.43 | 0.90 | ||||||
| <38,000 | 53 (20.2) | 639 (17.0) | 8.1 | 49 (20.2) | 45 (18.5) | 4.2 | ||
| 38,000–62,999 | 125 (47.5) | 1850 (49.2) | −3.3 | 118 (48.6) | 120 (49.4) | −1.6 | ||
| 63,000+ | 85 (32.3) | 1257 (33.4) | −2.3 | 76 (31.3) | 78 (32.1) | −1.8 | ||
| Unknown | 0 (0) | 16 (0.4) | −9.2 | — | — | — | ||
| Education | 0.15 | 0.93 | ||||||
| ≥21 | 52 (19.8) | 651 (17.3) | 6.4 | 49 (20.2) | 52 (21.4) | −3.0 | ||
| 7–20 | 164 (62.4) | 2226 (59.2) | 6.5 | 151 (62.1) | 147 (60.5) | 3.4 | ||
| <7 | 47 (17.9) | 870 (23.1) | −13.0 | 43 (17.7) | 44 (18.1) | −1.1 | ||
| Unknown | 0 (0) | 15 (0.4) | −8.9 | — | — | — | ||
| Geography | 0.06 | 0.74 | ||||||
| Metro | 206 (78.3) | 3036 (80.7) | −5.9 | 192 (79.0) | 189 (77.8) | 3.0 | ||
| Urban | 44 (16.7) | 572 (15.2) | 4.2 | 41 (16.9) | 41 (16.9) | −6.4 | ||
| Rural | 9 (3.4) | 56 (1.5) | 12.5 | 7 (2.9) | 7 (2.9) | 8.3 | ||
| Unknown | 4 (1.5) | 98 (2.6) | −7.6 | 3 (1.2) | 3 (1.2) | 0 | ||
| CCI | 0.09 | 0.56 | ||||||
| 0 | 167 (63.5) | 2522 (67.0) | −7.4 | 152 (62.6) | 145 (59.7) | 5.9 | ||
| 1 | 63 (24.0) | 918 (24.4) | −1.0 | 63 (25.9) | 62 (25.5) | 0.9 | ||
| 2+ | 33 (12.6) | 322 (8.6) | 13.0 | 28 (11.5) | 36 (14.8) | −9.7 | ||
| Insurance | 0.01 | 0.75 | ||||||
| Government | 135 (51.3) | 1545 (41.1) | 20.7 | 129 (53.1) | 128 (52.7) | 0.8 | ||
| Private | 115 (43.7) | 2021 (53.7) | −20.1 | 103 (42.4) | 103 (42.4) | 0 | ||
| Uninsured | 9 (3.4) | 146 (3.9) | −2.4 | 7 (2.9) | 10 (4.1) | −6.7 | ||
| Unknown | 4 (1.5) | 50 (1.3) | 1.6 | 4 (1.7) | 2 (0.8) | 7.5 | ||
| Facility distance | 0.58 | 0.72 | ||||||
| ≤10 | 103 (39.2) | 1355 (36.0) | 6.5 | 93 (38.3) | 86 (35.4) | 6.0 | ||
| 10–25 | 67 (25.5) | 987 (26.2) | −1.7 | 61 (25.1) | 68 (28.0) | −6.5 | ||
| 25+ | 93 (35.4) | 1406 (37.4) | −4.2 | 89 (36.6) | 89 (36.6) | 0 | ||
| Unknown | 0 (0) | 14 (0.4) | −8.6 | — | — | — | ||
| Center volume | <0.001 | 0.92 | ||||||
| High | 69 (26.2) | 1305 (34.7) | −18.4 | 65 (26.8) | 66 (27.2) | −0.9 | ||
| Intermediate | 75 (28.5) | 1257 (33.4) | −10.6 | 66 (27.2) | 62 (25.5) | 3.7 | ||
| Low | 119 (45.3) | 1200 (31.9) | 27.7 | 112 (46.1) | 115 (47.3) | −2.5 | ||
| Facility location | 0.09 | 0.94 | ||||||
| Midwest | 74 (28.1) | 901 (24.0) | 9.6 | 70 (28.8) | 66 (27.2) | 3.7 | ||
| Northeast | 57 (21.7) | 943 (25.1) | −8.0 | 53 (21.8) | 58 (23.9) | −4.9 | ||
| South | 89 (33.8) | 1195 (31.8) | 4.4 | 86 (35.4) | 87 (35.8) | −0.9 | ||
| West | 34 (12.9) | 457 (12.2) | 2.4 | 34 (14.0) | 32 (13.2) | 2.4 | ||
| Unknown | 9 (3.4) | 266 (7.1) | −16.4 | — | — | — | ||
| Facility type | <0.001 | 0.86 | ||||||
| Academic/research | 114 (43.4) | 2074 (55.1) | −23.7 | 110 (45.3) | 108 (44.4) | 1.7 | ||
| Nonacademic | 140 (53.2) | 1422 (37.8) | 31.4 | 133 (54.7) | 135 (55.6) | −1.7 | ||
| Unknown | 9 (3.4) | 266 (7.1) | −16.4 | — | — | — | ||
| Year of diagnosis | 0.41 | 0.83 | ||||||
| 2010 | 60 (22.8) | 991 (26.3) | −8.2 | 53 (21.8) | 57 (23.5) | −3.9 | ||
| 2011 | 99 (37.6) | 1309 (34.8) | 5.9 | 94 (38.7) | 88 (36.2) | 5.1 | ||
| 2012 | 104 (39.5) | 1462 (38.9) | 1.4 | 96 (39.5) | 98 (40.3) | −1.7 | ||
| Side | 0.13 | 0.78 | ||||||
| Left | 142 (54.0) | 1849 (49.2) | 9.7 | 135 (55.6) | 132 (54.3) | 2.5 | ||
| Right | 121 (46.0) | 1913 (50.9) | −9.7 | 108 (44.4) | 111 (45.7) | −2.5 | ||
| Histology | 0.002 | 0.81 | ||||||
| Clear cell | 162 (61.6) | 2609 (69.4) | −16.4 | 151 (62.1) | 161 (66.3) | −8.6 | ||
| Papillary | 60 (22.8) | 770 (20.5) | 5.7 | 58 (23.9) | 50 (20.6) | 7.9 | ||
| Cystic | 1 (0.4) | 24 (0.6) | −3.6 | — | ||||
| Chromophobe | 26 (9.9) | 283 (7.5) | 8.4 | 23 (9.5) | 22 (9.1) | 1.4 | ||
| Mixed | 14 (5.3) | 76 (2.0) | 17.6 | 11 (4.5) | 10 (4.1) | 2.0 | ||
| Grade (differentiated) | 0.02 | 0.92 | ||||||
| Well | 15 (5.7) | 365 (9.7) | −15.0 | 14 (5.8) | 13 (5.4) | 1.8 | ||
| Moderately | 119 (45.3) | 1723 (45.8) | −1.1 | 109 (44.9) | 118 (48.6) | −7.4 | ||
| Poorly | 56 (21.3) | 879 (23.4) | −5.0 | 53 (21.8) | 48 (19.8) | 5.1 | ||
| Undifferentiated | 11 (4.2) | 85 (2.3) | 10.9 | 9 (3.7) | 7 (2.9) | 4.6 | ||
| Unknown | 62 (23.6) | 710 (18.9) | 11.5 | 58 (23.9) | 57 (23.5) | 1.0 | ||
| Size | 0.31 | 0.15 | ||||||
| pT1b | 245 (93.2) | 3437 (91.4) | 6.7 | 226 (93.0) | 217 (89.3) | 13.1 | ||
| pT2a | 18 (6.8) | 325 (8.6) | −6.7 | 17 (7.0) | 26 (10.7) | −13.1 | ||
| LVI | 0.06 | 0.62 | ||||||
| Present | 13 (4.9) | 98 (2.6) | 12.3 | 10 (4.1) | 13 (5.4) | −5.8 | ||
| Negative | 196 (74.5) | 2942 (78.2) | −8.7 | 181 (74.5) | 185 (76.1) | −3.8 | ||
| Unknown | 54 (20.5) | 722 (19.2) | 3.4 | 52 (21.4) | 45 (18.5) | 7.2 | ||
