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Imaging, Diagnosis, Prognosis |
Authors' Affiliations: Departments of 1 Surgery and 2 Radiotherapy, Catharina Hospital; 3 Department of Pathology, PAMM Laboratories, Eindhoven, the Netherlands; 4 Department of Pathology, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands; and 5 Department of Surgery, Medical Centre Rijnmond-South, Rotterdam, the Netherlands
Requests for reprints: Iris D. Nagtegaal, Department of Pathology 437 PA, Radboud University, P.O. Box 9101, Nijmegen, the Netherlands. Phone: 31-243614314; E-mail: i.nagtegaal{at}pathol.umcn.nl.
| Abstract |
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Experimental Design: A series of 201 patients with locally advanced rectal cancer (cT3/T4, M0) presenting with an involved or at least threatened circumferential margin (CRM) on preoperative imaging (<2 mm) were evaluated using standard histopathologic variables and four different histologic regression systems. All patients received neoadjuvant radiochemotherapy or radiotherapy. The prognostic value of all factors was tested with univariate survival analysis of time to local recurrence and overall survival.
Results: Local recurrence occurred in only 8% of the patients with a free CRM compared with 43% in case of CRM involvement (P < 0.0001). None of the four regression systems were associated with prognosis, not even when corrected for CRM status. However, we did observe a higher degree of tumor regression after radiochemotherapy compared with radiotherapy (P < 0.001). Absence of tumor regression was associated with increasing invasion depth and a positive CRM (P = 0.02 and 0.03, respectively).
Conclusions: Assessment of CRM involvement is the most important pathologic variable after radiochemotherapy. Although tumor regression increases the chance on a free CRM, in cases with positive resection margins prognosis is poor irrespective of the degree of therapy-induced regression.
Histologic changes after the radiochemotherapy regimen range from absence of any treatment effect to a complete response with no residual tumor identified. One of the first systems for grading histologic regression focused on patients with esophageal carcinoma who were treated with radiochemotherapy (5). Their results showed that, after multivariate analysis, only grading of tumor regression was a significant predictor for disease-free survival (5). Subsequently, this system was modified by Dworak et al. (6) for grading regression in the rectum. Currently, several different methodologies for measuring the degree of histologic tumor regression after radiochemotherapy in rectal cancer have been described (6–10) but none has become universally accepted. Reproducibility seems to be a key factor.
The objective of our study is to evaluate which factors determine outcome in patients with LARC after radiochemotherapy, focusing on the contribution of histologic tumor regression grading and the CRM. Tumor regression after radiochemotherapy was measured using four different methodologies and evaluated for prognostic effect with respect to overall survival and local recurrence. CRM was evaluated according to Quirke et al. (11, 12). Additionally, prognostic implications of clinicopathologic and histologic variables were determined.
| Materials and Methods |
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Therapy. Preoperatively, patients received different treatment regimens, considered state of the art at the time of treatment. Long-term radiotherapy (n = 74) involved a total dose of 50.4 Gy in 1.8 Gy fractions, five times a week. Two radiochemotherapy schedules have been used. The MAYO schedule, hereafter mentioned as interrupted schedule (n = 102), comprises concurrent radiotherapy and chemotherapy: a total irradiation dose of 50.4 Gy, 1.8 Gy per fraction during 5 weeks synchronously with 5-fluorouracil (350 mg/m2) and leucovorin (20 mg/m2) in irradiation weeks 1 and 5. The radiation scheme of the continuous radiochemotherapy regimen (n = 25) compromises 45 Gy in fractions of 1.8 Gy during 5 weeks. On every radiation day, 820 mg/m2 capecitabine was administered twice and 50 mg/m2 oxaliplatin was given at the first irradiation day of each week.
Surgery. The objective in both cT3 and cT4 tumors was to obtain a radical resection (negative CRM). Especially in cT4 tumors, the CRM encompassed surrounding structures (i.e., prostate vesicle, vaginal wall, pelvic floor, uterus, and sacrum). The CRM was considered negative if the outer margin of the en bloc specimen was negative.
In case of all treatment schedules, surgery was done 6 to 8 weeks after the last radiation date. All patients underwent resection by experienced and designated colorectal surgeons (H.J.T. Rutten and G.A.P. Nieuwenhuijzen) who routinely do total mesorectal excision surgery. The extended surgical procedures used were abdominoperineal resection (n = 98), low anterior resection (n = 91), abdominotranssacral resection (n = 9), and exenteration (n = 3). The total mesorectal excision principle was adhered to in all cases, even in extended resections (14).
Histopathologic assessment. Surgical specimens were assessed according to the protocol of Quirke et al. (11, 12). The most important issue is assessment of the CRM. To determine the CRM, the lateral resection margin of the fresh specimen was inked and subsequently the specimen was fixed in formalin for 48 h. Blocks of the tumor in relation to the inked CRM were collected. Measurements of the margin were done microscopically. A specimen with tumor
1 mm from the inked margin was considered as having a positive CRM. Classification of tumors was done using the WHO guidelines; a tumor was considered mucinous when the proportion of the mucinous component was
50%. Tumors were graded according to histologic differentiation into well, moderately, and poorly differentiated based on the poorest differentiated part of the tumor excluding the invasive front (15). Growth patterns were assessed as circumscribed or infiltrating (16). Evaluation of the tumor biopsies included assessment of tumor type and differentiation grade.
Histologic regression grading. Histologic therapy-induced tumor regression was assessed according to four different grading systems described by Dworak et al. (6), Scott et al. (7), Bouzourene et al. (8) and Rödel et al. (9). All four regression systems semiquantitatively asses the relative proportion of residual tumor to stromal fibrosis. The following descriptions characterized the different regression grades of the regression systems used: Dworak grade 0: no regression detectable, grade 1: dominant tumor mass with obvious fibrosis and/or vasculopathy, grade 2: dominantly fibrotic changes with few tumor cells or groups (easy to find), grade 3: very few (difficult to find microscopically) tumor cells in fibrotic tissue with or without mucin, and grade 4: no tumor cells, only fibrotic mass or mucin; Scott minimal: less than 1/3 tumor regression, moderate: 1/3 to 2/3 tumor regression, good: more than 2/3 regression, and maximal: no primary tumor remaining; Bouzourene tumor regression grade (TRG) 5: tumor shows no signs of regression, TRG 4: residual tumor cells outgrowing the fibrosis, TRG 3: more tumor cells than TRG 2 but fibrosis still predominates, TRG 2: rare residual cancer cells scattered throughout the fibrosis, and TRG 1: absence of residual cancer and fibrosis extending through the different layers of the rectal wall; and Rödel 0: no regression or <25% of tumor mass, Rödel 1: 25% to >50% tumor regression, and Rödel 2: complete regression.
When no tumor could be found macroscopically, sufficient tumor blocks were sampled to establish a complete response. In the present series, 21 patients had a complete response. The mean number of block samples collected from the fibrotic area was 9 (median, 7; range, 3-22). Figure 1 shows representative examples of different degrees of tumor regression. These microscopic images were digitalized using a Zeiss Axioskop 2 Plus microscope with a Sony 950P camera attached to it. Images were digitized using 5x or 40x Plan-Neofluar objectives (Carl Zeiss MicroImaging). A cellular mucin was considered as absence of residual tumor. The degree of tumor regression was determined semiquantitatively by two pathologists (J.H.J.M. van Krieken and I. Tan-Go) who were blinded for patients' clinical outcome. In addition, the amount of necrosis and the presence of calcifications were scored as alternative variables for regression.
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2 tests were used to determine correlations between categorized variables. Multivariate analysis was done using the Cox proportional hazards regression model [backward elimination (conditional)]. P values of
0.05 were considered as statistically significant. | Results |
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Correlations between pretreatment factors and regression. The three-tier Rödel system was used to show correlations between the degree of regression and pretreatment and posttreatment factors (Table 1 ). The Rödel system consists of the lowest amount of categories and therefore avoids subgroups containing small numbers of patients. Furthermore, this system showed significant correlation within the framework of a randomized trial (9).
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Posttreatment clinicopathologic and histologic factors and prognosis. CRM involvement, lymph node status, and tumor stage were strongly associated with both local recurrence and overall survival (Table 2 ). CRM involvement was the strongest predictor of local recurrence (43% versus 8%, at 24 months; P < 0.001) and overall survival (58% versus 80%; P = 0.004; Fig. 2 ).
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Multivariate analysis of clinicopathologic factors. Because histologic factors could not be determined in patients with a complete response, multivariate analysis for local recurrence and overall survival was done for clinicopathologic factors (category pathologic T stage, pathologic N stage, and CRM) and the Rödel system only. A hazard ratio (HR) of 1 was attributed to the most favorable category. In case of local recurrence, the CRM was the only factor significantly associated with this event (HR, 4.44; 95% confidence interval, 1.83-10.81; P = 0.001). With respect to overall survival, both N status and CRM were selected by the Cox regression model using conditional backward elimination: pathologic N stage I: HR, 1.75, 95% confidence interval, 1.01-3.05, P = 0.046; pathologic N stage II: HR, 2.60, 95% confidence interval, 1.28-5.27, P = 0.008; and CRM: HR, 1.68, 95% confidence interval, 0.99-2.85, P = 0.054.
Correlations between posttreatment factors and regression. Histologic posttreatment factors could only be correlated to Rödel 0 and 1 because no tumor cells were left after complete tumor regression (Rödel 2). However, after complete tumor regression at the site of the primary tumor, positive lymph nodes were still found in 4 (19%) of 21 complete responders (Table 1). In two cases, no lymph nodes were found. More extensive histologic tumor regression was present in ypT1 and ypT2 tumors as could be expected. As a consequence, an involved CRM was observed more than twice as often in patients with limited regression (Rödel 0) compared with patients with Rödel 1 (70% versus 30%; P = 0.03). No significant correlations were found between regression and histologic posttreatment factors. Tumor necrosis, which might be considered as an alternative variable for regression, was inversely related to the degree of regression. In 78% of the tumors with minimal (<25% of the tumor mass) or no regressive changes, necrotic areas were observed. After more extensive regression, these areas were identified in only 22 (22%) of tumor specimens.
Regression grading and prognosis. Surprisingly, none of the regression systems analyzed were found to be significantly associated with local recurrence. In addition, no correlation with overall survival was found (Table 3 ). We repeated the analysis correcting for CRM status because this factor was found the most potent predictor of prognosis. In the CRM-negative cases (n = 158), again grading of tumor regression lacked prognostic implications for local recurrence and overall survival.
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values for each system (Supplementary Data).
values for the regression system as a whole and for two successive categories within a system were calculated. Categories defining minimal regressive changes are more difficult to discriminate from one another (
values ranging from 0.29 to 0.47) than categories defining extensive to complete regression (
values ranging from 0.77 to 0.85). All four systems showed that that
values improve as the amount of residual tumor decreases. | Discussion |
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The degree of tumor regression was found to be correlated with the neoadjuvant treatment regimen used. Tumor regression was found to be more extensive after radiochemotherapy compared with long-term radiotherapy, which is in accordance with literature (18, 19). We were not able to show any prognostic effect of regression scoring, irrespective of stratification for CRM involvement. However, tumor regression is important because the chance to obtain a negative CRM is increased after extensive tumor regression (Table 1).
The percentage of patients with a positive margin (21%) was relatively low taking into account that the inclusion criterion was a threatened CRM. This finding agrees with reports by Mawdsley et al. (17) and Glynne-Jones et al. (20) who found that 20% of the patients with LARC had a positive CRM after radiochemotherapy. LARC was defined by these authors as borderline resectable or irresectable disease; patients underwent curative surgery after neoadjuvant chemoradiation. Univariate analyses done in the present study confirmed the importance of the CRM for both overall survival (P = 0.004) and local recurrence (P < 0.001). Multivariate analysis of clinicopathologic factors confirmed the importance of CRM involvement for the prediction of local recurrence (HR, 4.44; 95% confidence interval, 1.83-10.81; P = 0.001). Several other studies report similar results about the importance of the CRM as a predictor for outcome after neoadjuvant treatment (17, 21–24).
Numerous studies investigated the prognostic value of tumor response after neoadjuvant therapy in rectal cancer, without consistent results. Similar to our study, no correlation was found in three different studies (19, 25, 26) with a total number of 385 patients. On the other hand, tumor regression was associated with local recurrence (389 patients; refs. 4, 8, 27, 28), overall survival (247 patients; refs. 8, 29), or disease-free survival (270 patients; refs. 4, 8, 9, 29).
However, reproducibility of tumor regression assessment leaves room for improvement (Supplementary Data). Measurements on the variance between two successive categories within each system showed that
values improve as the amount of residual tumor decreases. Distinguishing absence (Fig. 1A) from little regressive signs (Fig. 1B) was reproduced poorly, probably because formation of fibrosis is also an intrinsic characteristic of tumor development. Discriminating intrinsic tumor fibrosis from therapy-induced fibrosis based on morphology is difficult. A complete tumor response, on the other hand, which is the only clearly definable degree of tumor regression, largely depends on tissue processing and sampling, which are often responsible for discrepancies in literature about the rate of complete responders (9, 29). A possible way to standardize the criteria for a complete response could be as follows: sample five sites of the tumor area, and if no tumor is present in these blocks, the whole area suggestive for disease should be embedded in paraffin blocks. If still no tumor is present, H&E slides will be obtained from each block at three levels. If no tumor was found after this procedure, a complete response was established (30). The lack of clear definitions with respect to the morphologic aspects of therapy-induced fibrosis and a complete tumor response explains both interobserver and interstudy variance.
The term locally advanced is also not clearly defined. Definitions range from patients who received long-term neoadjuvant radiotherapy or radiochemotherapy to patients with positive lymph nodes, advanced cT3 or cT4, or patients with a threatened CRM. Three of the nine studies investigating the prognostic value of grading tumor regression stated to have analyzed patients with LARC (8, 25, 28). The percentages of stage cT4 in these three reports range from 12% (25) to 32% (28) and are relatively low compared with the percentage of cT4 in the present population (59%). Moreover, none of the reports on LARC selected patients based on a threatened CRM (a predicted CRM on magnetic resonance imaging of <2 mm). These unique pretreatment characteristics distinguish the present population from other reports about patients with LARC. These differences in patient selection can also explain the inconsistency, about the prognostic implications of tumor regression, between the findings described in the present study and those described by others.
Our data indicate that tumor response to neoadjuvant long-term radiotherapy or radiochemotherapy results in tumor shrinkage (Fig. 3, arrow
) rather than fragmentation of the tumor (Fig. 3, dotted arrow). The scenario of tumor fragmentation implicates that the degree of tumor regression is not informative for depth of infiltration (e.g., vital tumor cells may still be scattered throughout the whole fibrotic area and reach the pretreatment level of tumor invasion). Tumor fragmentation after neoadjuvant treatment still results in CRM involvement. However, our data suggest that tumor shrinkage is the main event after neoadjuvant therapy, resulting in negative CRM, which was obtained in
80% of patients with a clinically threatened margin. Moreover, our data revealed that patients with a negative CRM experienced significantly less local recurrence compared with patients with a positive CRM. This indicates that the fibrotic area that is depicted in gray in Fig. 3B is sterile, pleading for the scenario of tumor shrinkage. However, if the CRM is involved, patient prognosis remains poor despite elaborate histologic regression after neoadjuvant treatment (Fig. 3C).
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In this study, which investigates a unique population of patients with LARC that had a threatened CRM and a high percentage of cT4, we have shown that assessment of the CRM is the most important pathologic factor after radiochemotherapy. Extensive tumor regression, resulting in tumor shrinkage, is essential for obtaining a free CRM, but incomplete resection implies a poor prognosis irrespective of the degree of these regressive changes.
| Footnotes |
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Note: Supplementary data for this article are available at Clinical Cancer Research Online (http://clincancerres.aacrjournals.org/).
Received 5/15/07; revised 8/ 3/07; accepted 8/23/07.
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