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              Educational Supplement: Appendix
 Prognostic 
              and Predictive Role of Proliferation Indices Maria 
              Grazia Daidone, Ph.D.  Proliferative 
              cellular activity is one of the biological processes most thoroughly 
              investigated in breast cancer for its association with neoplastic 
              progression and metastatic potential. Several approaches, in addition 
              to the mitotic activity component of all pathologic grading systems, 
              have been used by pathologists and cell biologists to determine 
              and quantify the whole proliferative fraction or discrete fractions 
              of cells in specific cell cycle phases on consecutive series of 
              clinical tumors. Such approaches are based on different rationales, 
              including detection of proliferation-related antigens by way of 
              the Ki-67/MIB-1 labeling index and evaluation of the S-phase cell 
              fraction by quantifying nuclear DNA content or cells incorporating 
              DNA precursors (labeled pyrimidine bases, such as H-thymidine, or 
              halogenated analogs, such as bromo- or iododeoxyuridine). These 
              approaches employ different methods of evaluation (immunocytochemistry, 
              cytometry, or autoradiography), and each has advantages and disadvantages, 
              including different feasibility rates. Moreover, the different measures 
              of proliferation do not always prove to correlate with each other 
              in terms of biological or clinical significance when comparatively 
              analyzed on the same case series and may present slightly varying 
              sensitivity and specificity rates. In general, 
              cell proliferation has proved to be associated with breast cancer 
              prognosis, even though its prognostic power tends to decline over 
              time, at least for the flow-cytometric S-phase cell fraction (FCM-S) 
              (Bryant, Fisher, Gunduz, et al., 1998). In patients with node-negative 
              breast cancer treated with local-regional therapy alone until relapse, 
              and in the presence of traditional prognostic factors (age, tumor 
              size, estrogen receptor [ER], and progesterone receptor [PgR]), 
              the S-phase fraction (evaluated as H-thymidine labeling index [TLI], 
              considered as a continuous variable and categorized by tree-structured 
              regression analysis) can be used to identify subsets at different 
              8-year risk of local-regional relapse (in association with patient 
              age) or distant metastasis (in association with tumor size and patient 
              age). Cell proliferation is the only prognostic discriminant for 
              intermediate-size (1-2 cm) tumors, whereas it is not predictive 
              for contralateral cancer (Silvestrini, Daidone, Luisi, et al., 1995). 
              In general, the prognostic information provided by FCM-S, TLI, or 
              the Ki-67/MIB-1 index is confirmed in multivariate analyses, including 
              DNA ploidy, p53 and bcl-2 expression, ER and PgR status, and histologic 
              or nuclear grade (Wenger, Clark, 1998; Scholzen, Gerdes, 2000). 
              This information helps to identify tumor phenotypes associated with 
              a high risk of relapse (high cell proliferation, alone and in association 
              with other unfavorable factors, such as young age, tumor size >2 
              cm, high pathologic grade, absence of ER or PgR, alterations in 
              oncogenes or in tumor suppressor genes) and with low risk of relapse 
              (low cell proliferation associated with older age, tumor size £2 
              cm, low pathologic grade, presence of ER or PgR, absence of genomic 
              alterations). All of these 
              results, however, have been derived from investigations not specifically 
              planned to determine the clinical utility of the biomarker and, 
              in terms of quality of information, the outcomes of the studies 
              can be considered to be only hypothesis-generating, with the advantage 
              of long-term followup counterbalanced by marked heterogeneity in 
              technical and analytical procedures. The usefulness of prognostic 
              indicators in patient management can be tested in the context of 
              randomized treatment protocols in which evaluation of the utility 
              of biological information accounts for the primary or secondary 
              objective with an improved level of evidence (LOE) of results, as 
              in the following: 
               
              Confirmatory studies to validate proliferative activity for 
                identifying subsets of patients at very low risk of relapse. Evidence 
                in favor of such a hypothesis is supported by the preliminary 
                outcome of a large LOE I study on node-negative breast cancers 
                (Hutchins, Green, Ravdin, et al., 1998) in which patients presenting 
                with ER-or PgR-positive, intermediate size tumors with a low FCM-S 
                exhibited an excellent prognosis without adjuvant treatment (5-year 
                disease-free survival [DFS], 88 percent), similar to patients 
                with tumors £1 cm in diameter. The result has been independently 
                confirmed on a substantial series of node-negative tumors in a 
                prospective investigation (Jones, et al., 1999), in which Ki-67/MIB-1 
                was considered in addition to FCM-S. It has also been confirmed 
                in a study derived from cases enrolled in a large randomized clinical 
                trial (NSABP B-14) that evaluated the effectiveness of adjuvant 
                tamoxifen in patients with ER-positive cancers (Bryant, Fisher, 
                Gunduz, et al., 1998). The latter study demonstrated the heterogeneous 
                clinical outcome of patients with tumors traditionally considered 
                at low risk and showed that FCM-S (as a continuous variable), 
                patient age, tumor size, and PgR better differentiated the risk 
                subsets, with the 10-year DFS rate ranging from 85 percent to 
                30 percent and overall survival rate from 95 percent to 40 percent. 
                On the basis of such a clinical and pathobiological classification, 
                it seems unlikely that the addition of adjuvant chemotherapy to 
                tamoxifen will improve clinical outcome in women at very low risk 
                of relapse. 
 For high-risk (ER-negative, node-negative) tumors, however, the 
                long-term results of a prospective randomized trial evaluating 
                the effectiveness of adjuvant CMF confirmed the efficacy of treatment 
                (Zambetti, Valagussa, Bonadonna, 1996). There was a benefit against 
                both slowly and rapidly proliferating tumors that was more evident 
                for the latter.
 
 
Clinical utility of proliferative activity for treatment decision-making 
                in high-risk node-negative breast cancer patients. To test the 
                improvement in clinical outcome following adjuvant chemotherapy 
                in high-risk cases defined on the basis of tumor proliferative 
                activity, a prospective multicentric trial was conducted between 
                1989 and 1993 (Amadori, Nanni, Marangolo, et al., 2000). In that 
                trial, patients with high-TLI tumors were randomized to receive 
                either CMF or no further treatment following surgery ± 
                radiotherapy. At a median followup of 80 months, relapses had 
                occurred in 28 of the 137 patients who received CMF and in 47 
                of the 141 patients treated with local-regional therapy alone. 
                A reduction in the annual relapse risk of about 40 percent with 
                chemotherapy treatment was associated with an 11 percent absolute 
                benefit for 5- year DFS (83 percent [95 percent CI, 77-89] for 
                CMF-treated patients versus 72 percent [95 percent CI, 65-79] 
                for untreated patients, p=0.028). Also shown was a reduction of 
                both local-regional (from 6.4 percent to 2.9 percent) and distant 
                relapses (from 21.3 percent to 12.4 percent). The benefit of CMF 
                treatment was most evident in cases at high riskthat is, 
                with TLI values in the second (DFS: 88 percent versus 78 percent, 
                p=0.037) and third tertile (DFS: 78 percent versus 58 percent, 
                p=0.024). In summary, 
              the results support the use of cell proliferation to select high-risk 
              patients with node-negative tumors. The finding of a higher benefit 
              from antimetabolite-based regimens in tumors with the highest proliferation 
              is in keeping with the evidence from retrospective studies (to be 
              prospectively validated) that proliferation indices may be used 
              to help predict treatment response in adjuvant and neoadjuvant settings 
              (Wenger, Clark, 1998). In addition, 
              cell proliferation can provide information regarding the efficacy 
              of different treatment schedules. In an ancillary study analyzing 
              70 percent of the cases entered in a randomized treatment protocol 
              designed to compare alternating versus sequential regimens of doxorubicin 
              and CMF in breast cancer patients with more than three positive 
              axillary lymph nodes, the benefit of sequential administration was 
              mainly evident in patients with tumors with low to intermediate 
              proliferation rates (Silvestrini, Luisi, Zambetti, et al., 2000). Methodologically, 
              proliferation indices in part fulfill common requirements for clinical 
              use in terms of technical-biological effectiveness. They have been 
              proven to describe the specific biological phenomenon, as well as 
              to provide results that are informative and rapidly obtainable at 
              a reasonable cost when needed for clinical decisionmaking. However, further 
              effort should be devoted to standardizing methodologies and interpretation 
              criteria (mainly for FCM-S results) to improve the reliability, 
              accuracy, and reproducibility of assay results within and among 
              different laboratories by promoting and maintaining quality control 
              programs (found in several countries for FCM-S and TLI), and to 
              establishing guidelines for classifying tumors according to proliferative 
              activity. There should also be guidelines for reporting and comparing 
              results. All of these factors, in addition to the inherent heterogeneity 
              of case series, could account for the variability seen in results. In terms of 
              clinical effectiveness, proliferation indices need to be further 
              validated in the context of randomized trials to assess their utility 
              to identify low-risk patients (both in the presence of traditional 
              prognostic factors, including pathological grade, and in cases diagnosed 
              in recent years that are possibly epidemiologically and biologically 
              different from those diagnosed in prior decades) and to make decisions 
              about whether to use specific adjuvant therapies. References Amadori D, Nanni 
              O, Marangolo M, Pacini P, Ravaioli A, Rossi A, et al. Disease-free 
              survival advantage of adjuvant cyclophosphamide, methotrexate, and 
              fluorouracile in patients with node-negative rapidly proliferating 
              breast cancer; a randomised multicenter study. J Clin Oncol 2000;18:3125-34. 
              Abstract. 
               Bryant J, Fisher 
              B, Gunduz N, Costantino JP, Emir B. S-phase fraction combined with 
              other patient and tumor characteristics for the prognosis of node-negative, 
              estrogen-receptor-positive breast cancer. Breast Cancer Res Treat 
              1998;51:239-53. Abstract. Hutchins L, 
              Green S, Ravdin P, et al. CMF versus CAF with and without tamoxifen 
              in high-risk node-negative breast cancer patients and a natural 
              history follow-up study in low-risk node-negative patients: first 
              results of intergroup trial INT 0102. [abstract]. Proc Am Soc Clin 
              Oncol 1998;17:1a. Jones, et al. [Abstract]. Proc Am Soc Clin Oncol 
              1999. Abstract. Scholzen T, 
              Gerdes J. The Ki-67 protein: from the known and the unknown. J Cell 
              Physiol 2000;182:311-22. Abstract. Silvestrini 
              R, Daidone MG, Luisi A, Boracchi P, Mezzetti M, Di Fronzo G, et 
              al. Biologic and clinicopathologic factors as indicators of specific 
              relapse types in node-negative breast cancer. J Clin Oncol 1995;13:697-704. 
              Abstract. Silvestrini 
              R, Luisi A, Zambetti M, Cipriani S, Valagussa P, Bonadonna G, et 
              al. Cell proliferation and outcome following doxorubicin plus CMF 
              regimens in node-positive breast cancer. Int J Cancer 2000;87:405-11. 
              Abstract. Wenger CR, Clark 
              GM. S-phase fraction and breast cancera decade of experience. 
              Breast Cancer Res Treat 1998;51:255-65. Abstract. Zambetti M, 
              Valagussa P, Bonadonna G. Adjuvant cyclophosphamide, methotrexate 
              and fluorouracil in node-negative and estrogen receptor-negative 
              breast cancer. Updated results. Ann Oncol 1996;7:481-5. Abstract.   |  |