ANATOMIC PATHOLOGY Original P r o g n o s t i c N u c l e a r V a l u e Article o f A n t i g e n P r o l i f e r a t i n g I n d e x S t r o m a l Correlation With Mitotic i n C e l l G a s t r i c T u m o r s Count and Clinical Outcome MAHUAL B. AMIN, MD, CHAN K. MA, MD, MICHAEL D. LINDEN, MD, JAMES J. KUBUS, MS, AND RICHARD J. ZARBO, MD Morphologic studies of gastric stromal tumors (GSTs) indicate that mitotic counts (MCs) and tumor size are major discriminants predictive of biologic behavior. The authors evaluated the tumor proliferation of GSTs with anti-proliferating cell nuclear antigen (PCNA; DAKO clone POO, DAKO Corporation, Carpinteria, CA) for correlation with MCs, histologic cell type, and clinical outcome. Fifty-eight tumors ranging from 1.5 to 45 cm in size were selected for clinicopathologic assessment. Mitotic activity was counted per 50 high-power fields (MC). For this study, combined parameters of MC and tumor size were used to categorize tumors into three groups: (1) benign: MC less than 5, tumor smaller than 5 cm; (2) borderline: MC less than 5, tumor larger than 5 cm; and (3) malignant: MC greater than 5, tumor any size. The PCNA tumor proliferation index (TPI) was assessed from evaluation of 200 tumor cells per case and expressed as the percentage of cells with positive results. Clinical follow-up was available in 45 cases. None of the 19 benign or 16 borderline tumors recurred or metastasized, whereas 7 of 10 malignant tumors metastasized and 1 of 10 recurred. The mean PCNA TPI values among benign (11.2%), borderline (16%), and malignant (34.5%) tumors were significantly different (P = 0.0002, Kruskal-Wallis test). When the pathologic tumor categories were compared, the mean TPI of benign tumors was significantly different from that of borderline tumors (P = 0.0306, Kruskal-Wallis), and the TPI of Predicting the biologic behavior of gastric stromal tumors (GSTs) on the basis of morphologic observations alone can be difficult. Results of several large studies of GSTs in the English language literature indicate that mitoses, tumor size, cellularity, and necrosis are important prognostic parameters.1"7 Despite these observations, there are rare, morphologically benign tumors2"4,8,9 that have distant metastasis or recurrence. The need for a third category of borderline tumors or tumors of From the Department of Pathology, Henry Ford Hospital, Michigan. Presented in part at the United States and Canadian Academy of Pathology Annual Meeting, Atlanta, Georgia, March, 1992. Received April 24, 1992; revised manuscript accepted for publication December 21,1992. Address reprint requests to Dr. Ma: Department of Pathology, Henry Ford Hospital, 2799 W. Grand Boulevard, Detroit, MI 48202. borderline tumors was different from that of the malignant tumors (P = 0.0060, Kruskal-Wallis test). The Spearman rank correlation showed a significant relationship between the MC and PCNA TPI (P = 0.0003, r = 0.4543). Logistic regression analysis showed that the TPI, independent of MC and size, contributed significantly (P = 0.00295) to the prediction of outcome. In the malignant group, the mean TPI for malignant tumors with metastases (43.6%) was significantly different-^/"— 0.0411, Kruskal-Wallis test) from that of malignant tumors without metastases (including the case with probable recurrence) (11.83%). No correlation was found when PCNA TPIs for epithelioid GCTs were compared with those of spindle cell GSTs. The authors conclude the following: (1) the PCNA-derived TPI correlates with the MC and is an additional independent prognostic parameter in the assessment of GSTs; (2) higher PCNA TPIs in histologically malignant GSTs may correlate with metastasis and clinical outcome; (3) in GSTs with an MC less than 5, the PCNA TPI provides a quantitative parameter to potentially separate borderline from benign tumors; and (4) the intermediate PCNA TPI of borderline tumors defined by size further justifies separation of GSTs into benign, borderline, and malignant categories. (Key words: Gastric stromal tumors; Cell proliferation; Proliferating cell nuclear antigen) Am J Clin Pathol 1993;100:428-432. unknown malignant potential has been recognized because of difficulty in predicting outcome based on histologic findings alone. In recent years, measurements of tumor proliferation have shown a good correlation with biologic behavior in certain solid tumors, providing valuable adjunctive prognostic information.10'11 In this study, we measured tumor proliferation within GSTs by assessing immunostaining of tissue sections fixed in formaldehyde solution and embedded in paraffin with anti-proliferating cell nuclear antigen (PCNA; DAKO clone PC 10, DAKO Corporation, Carpinteria, CA) and correlating Detroit, this tumor proliferation measurement with the MC and clinical outcome. Proliferating cell nuclear antigen is a cell cycle-related nuclear protein identified as an auxiliary protein of DNA polymerase delta that is maximally elevated in late Gl- and S-phases of cycling cells.12 Based on a literature review of GSTs, the most significant pathologic discriminants of biologic behavior include MC1,2,13,14 a n d t u m o r s J ze 2,6,14-16 W g use£ j t h e s e c r j t e r j a tO di- 428 AMIN ET AL. 429 PCNA Index in GSTs vide GSTs into benign, borderline, and malignant categories. Tumors also were classified, based on the predominant tumor cell type, as having either epithelioid or spindle cell histologic characteristics. The objectives of this study were as follows: (1) to measure PCNA tumor proliferation indices (TPIs) for benign, borderline, and malignant categories; (2) to correlate the PCNA TPI of tumors with the MC, tumor size, and spindled and epithelioid histologic characteristics; and (3) to determine whether the PCNA TPIs of GSTs are correlated with clinical outcome and provide additional prognostic information. MATERIALS AND METHODS Seventy cases of GST were retrieved from the Surgical Pathology files of Henry Ford Hospital, Detroit, Michigan, from 1966 to 1991. Twelve GSTs were found incidentally during surgery for other diseases and were smaller than 1 cm (most were a few millimeters). They had no clinical significance and, therefore, were excluded from our study. Fifty-eight cases of GST remained, with sizes ranging from 1.5 to 45 cm. These cases form the basis of this clinicopathologic and immunohistologic study. Histologic Examination and Clinical Data Review Each tumor was examined histologically and assessed for cellularity, degree of anaplasia, pleomorphism, necrosis, MC, and predominant cell type (epithelioid or spindled). Areas with the greatest mitotic activity were selected, and MCs were established from 100 consecutive high-power fields (HPFs) (Olympus BH-2; X40 high dry, X10 ocular; 0.2-mm2fieldsize, Olympus Corp., Lake Success, NY). The MC thus obtained was divided by two and denoted the number per 50 HPFs. Based on our review of the literature, we determined that MC1,213,14 and tumor size2'6'4"16 were the two most important prognostic parameters. We used Appelman's determination of 5 mitoses per 50 HPFs to separate benign from malignant lesions.1,2 Tumor size also is predictive of the clinical behavior of GSTs. Thus, we categorized GSTs as follows: benign: less than 5 mitoses/50 HPFs and tumor smaller than 5 cm; borderline: less than 5 mitoses/50 HPFs and tumor larger than 5 cm; and malignant: more than 5 mitoses/50 HPFs and tumor of any size. The clinical charts and Tumor Registry were reviewed to obtain information on clinical outcome. Itnmunohistochemical Staining In each case, one representative block was chosen for immunohistochemical staining with the Streptavidin method (DAKO). Tissue sections were mounted on gelatin-coated slides, air dried, deparaffinized in xylene, and rehydrated with distilled water and decreasing concentrations of ethanol. The slides were air dried because oven heating was found to reduce optimal staining. Enzymatic predigestion was not performed because it also was found to diminish the staining intensity. The slides then were incubated with 5% horse serum (suppressor serum) and incubated for 14-16 hours overnight at 4 °C with a 1:1,500 dilution of monoclonal antibody to PCNA (DAKO clone PC 10). Sections then were incubated for 30 minutes with biotinylated horse antimouse IgG at room temperature in a dark, humid, closed chamber and then for 60 minutes at room temperature with Streptavidin. Sections were developed for five minutes with the chromogen 3-amino-9-ethyl- carbazole (Sigma Chemical Company, St. Louis, MO), lightly counterstained with Mayer's hematoxylin, and coverslipped with glycerol gelatin. A lymph node with reactive follicular hyperplasia served as a positive control; in negative controls, buffer was substituted for primary antibody. For each of the 58 tumors, a proliferation index indicating the percentage of positive tumor nuclei was obtained by visual quantitative assessment of 100 tumor cells by two observers (M.B.A. and M.D.L.) on separate occasions, and the mean of the two values was designated as the TPI. Random fields were selected, excluding areas with excessive or scant immunostaining. Care was taken to exclude positively stained inflammatory cells and desmoplastic stromal cells; in problem cases, this was achieved by comparison with the corresponding hematoxylin and eosin-stained sections. Nuclear staining without cytoplasmic staining was considered a positive result. Staining intensity varied from very weak to intensely strong and fromfinelygranular to uniformly dark red-brown. Statistical Analysis Statistical tests were performed with CSS (Stat Soft, Tulsa, OK) software on a microcomputer. A Kruskal-Wallis test was performed to determine significant differences or associations of TPI among the following: (1) benign, borderline, and malignant categories together and individually with respect to each other; (2) malignant tumors with and without metastasis; and (3) tumors with spindled and epithelioid histologic characteristics.17 A Spearman rank correlation was performed to determine whether MC and TPI were correlated. Logistic regression analysis was used to assess whether the TPI contributed significantly to the prediction of outcome (ie, recurrence of disease or metastasis) independently of size and MC. RESULTS Based on a detailed histologic review and analysis with criteria outlined above, there were 24 benign, 18 borderline, and 16 malignant tumors. All benign tumors were diagnosed originally as benign. Of the 18 borderline tumors, 11 were interpreted as benign, 3 as malignant, and 4 as suggestive of malignancy. Among the 16 malignant tumors, 15 were diagnosed as malignant and 1 as atypical leiomyoblastoma (this patient died one year after surgery with probable metastasis to the lungs). Generally, the malignant tumors were characterized by a significant increase in cellularity, pleomorphism, and cellular atypia. Compared with benign tumors, the borderline tumors tended to be more cellular and had cellular atypia; however, these parameters overlapped between each category. The tumor sizes and MCs of tumors within benign, borderline, and malignant categories are summarized in Table 1. Clinical data were available for 45 cases with follow-up of 1-24 years. None of the 19 benign or 16 borderline tumors recurred or metastasized. One borderline tumor had infiltrated the liver at the time of surgery and required wider excision with partial lobectomy. This tumor had not metastasized or recurred four years after surgery, after which the patient was lost to follow-up. Of the patients with malignant tumors, seven of ten had distant metastasis, two of ten had no recurrence or metastasis, and one often had probable clinical recurrence (not histologically confirmed). Overall, immunohistochemical staining patterns (Fig. 1) were variable and heterogeneous from field tofieldand case to Vol. 100-No. 4 430 ANATOMIC PATHOLOGY Original Article TABLE 1. SIZE, MITOTIC COUNT, AND PCNA TPI OF GST Size (cm) Benign (n = 24) Borderline (n = 18) Malignant (n = 16) PCNA TPI (%) Mitotic Count* (MC) Range Mean Median 1.5-4.9 5-33 3-45 3.26 12.33 15.6 3.5 11 12.5 Range 0-2.5 0-4.5 5-54 Mean 0.63 1.13 22.2 Median 0.25 0.75 21.3 Range Mean 0-69.5 1.5-47.5 1.5-84 11.2 16 34.5 Median 3.3 12 29.8 PCNA = proliferation cell nuclear antigen; TPI = tumor proliferation index; GST = gastric stromal tumor. * Mitotic count in 100 HPFs was determined and an MC (mitotic count/50 HPF) was obtained. case; within and among benign, borderline, and malignant categories; and between histologic cell types (spindle and epithelioid). The mean TPIs for various categories varied considerably: benign (range, 0-69.5%; mean, 11.2%); borderline (range, 1.547.5%; mean, 16%); and malignant (range, 1.5-84%; mean, 34.5%) (Fig. 2). The Kruskal-Wallis statistical analysis showed that the three categories were significantly different (P = 0.0002) and there was a significant difference between benign and borderline categories (P = 0.0306) and borderline and malignant categories (P = 0.0060). The Spearman rank correlation test showed a significant correlation between MC and TPI (P = 0.0003; r = 0.4543). The mean TPI of malignant tumors with metastasis (43.6%) was significantly different from the mean TPI of malignant tumors without metastasis (11.83%) (P = 0.0411, Kruskal-Wallis test) (Fig. 3). The mean TPIs for tumors with spindled and epithelioid histologic characteristics were not significantly different (P = 0.5895, Kruskal-Wallis test). The logistic regression model showed that MC, size, and TPI all predicted outcome significantly (P = 0.00002). It also showed that TPI alone contributed significantly (P = 0.00295) to the prediction of outcome more than the model that included only MC and size. The sensitivity and specificity of the logistic model were 75% and 95%, respectively, in predicting outcome. Of the 45 cases with data regarding history and histologic characteristics, the model predicted that 37 would show no evidence of disease during the follow-up and 8 would metastasize or recur. Of the 37 patients predicted to have no evidence of disease, 2 actually had metastasis, and of the 8 predicted to have metastasis or recurrence, only 6 actually did. DISCUSSION Gastric stromal tumors are enigmatic in terms of their line of differentiation or cell of origin and clinical behavior.13 The histologic distinction of benign from malignant GSTs is often difficult, and prediction of clinical outcome on the basis of histologic characteristics alone is not always reliable. Therefore, a third category for borderline tumors or tumors of unknown malignant potential has been suggested in the pathologic diagnosis of GSTs. Many studies have shown histologic features such as cellularity, necrosis, tumor size, and mitoses to be prognostically significant parameters.1"7 Pathologic criteria, including the number of mitoses/HPF, have been proposed to differentiate benign from malignant tumors. Mitotic count criteria are not applied universally and often vary from series to series. Although the MC appears to be the single most reliable criterion of GST biologic behavior,5-6,13'4 the ability to predict outcome is not absolute.2~4-8-9 There is compelling evidence indicating that tumor size is another important prognostic deter- FIG. 1. Malignant GST, showing many positively stained tumor cells. A. Spindle type. Proliferating cell nuclear antigen (original magnification, X80). B. Epithelioid type. Proliferating cell nuclear antigen (original magnification, X80). A.J.C.P.-October 1993 431 AMIN ET AL. PCNA Index in GSTs 70 60 JL. 50 40 30 20 O- 10 BENIGN BORDERLINE MALIGNANT FlG. 2. Ranges and means of TPIs for benign, borderline, and malignant GSTS. minant.2-614"16 Based on our review of the literature, we divided GSTs into three categories—benign, malignant, and borderline —using MC and tumor size as the best determinants of biologic behavior. Assessment of PCNA immunostaining was used to determine whether this measurement of tumor proliferation was of prognostic value and correlated with MC and tumor size. Enumeration of mitotic figures has been the conventional means of assessing cellular proliferation in many neoplasms. Unfortunately, mitotic counting is fraught with inaccuracy and lacks reproducibility. Mitotic counts also may be affected by tissue fixation, microscope field size, tumor heterogeneity,18'9 and cutoff values segregating malignant tumors from benign. Although, as a measure of cellular proliferation, mitosis is currently the "histologic gold standard," attention is being focused on other methods to determine tumor proliferation. Row cytometric analysis, computerized static image analysis, the tritiated thymidine labeling index, and silver-stained nucleolar organizer regions are some of the techniques currently under active investigation.1018 Immunohistochemical identification of nuclear antigens associated with cellular proliferation offers an alternative approach for measuring the tumor growth fraction. For routine pathology practice, the monoclonal antibody Ki-67, an incompletely characterized nuclear protein associated with cell proliferation, is currently the best immunohistochemical method and has been shown to correlate well with other measures of cell proliferation20; however, the Ki-67 antibody requires fresh tissue and cannot be used in tissue sections fixed in formaldehyde solution and embedded in paraffin. Recently PCNA (cyclin), a cell cycle-associated 36-kD nuclear protein identified as an auxiliary protein of DNA polymerase delta, has been shown to be an effective indicator of cell proliferation and can be identified by immunohistochemical staining in tissue sections fixed in formaldehyde solution and embedded in paraffin."13'2'"25 PCNA levels increase through G,, peak at the G,/S-phase interface, decrease through G2, and reach virtually undetectable levels by immunocytochemical methods in M-phase and quiescent cells.12'23'24 Proliferating cell nuclear antigen levels have been shown to correlate with 90 n • i © mban i 80- | 70 60*n | | | | | | | | ! (j> 0 .... 80 mitotic activity, tumor grade,13,26"28 and various growth fractions as measured by flow cytometric analysis.22-27 Initial clinical studies in gastric carcinomas,26 gastric lymphomas,27 gastrointestinal stromal tumors,29 and hemangiopericytomas28 suggest a role for PCNA staining as an adjunctive prognostic indicator. In this study, the mean TPIs of benign, borderline, and malignant tumors were significantly different. The pathologic difference between benign and borderline tumors was based on the size of the tumors alone (all had MCs < 5) with a cutoff of 5 cm. The intermediate TPIs of borderline GSTs, differing only from the benign tumors because they were larger, seem to further justify the separation of GSTs into three categories. The statistically significant difference in mean TPIs between these two tumor categories suggests that tumor size may be an important prognostic determinant in GSTs. In tumors of any size with MCs less than 5, the PCNA TPI appears to provide a quantitative parameter, in addition to tumor size differences, for separating benign from borderline GSTs. This was not possible with MCs alone because the benign and borderline tumors both had MCs less than 5; however, the duration of follow-up in some of the cases in benign and borderline categories was short, possibly compromising our ability to show the value of PCNA immunostaining in predicting differences in the outcome of tumors with similar MC ranges of less than 5 per 50 HPFs. The mean TPI of tumors with spindled histologic characteristics was not significantly different from that of GSTs with epithelioid histologic characteristics, suggesting that the two histologic cell types are merely different morphologic expressions of GSTs without biologic significance. The mean TPI of malignant tumors with metastases was significantly different than the TPI of malignant tumors without metastases (P = 0.0303); thus, the mean TPI may be a potential predictor of metastatic potential. The number of cases studied, however, is too small to allow us to draw any firm conclusions. This observation regarding the possible prognostic value of PCNA is similar to findings from the study by Yu and colleagues28 of hemangiopericytomas, where PCNA staining identified patients at risk of metastasis and early death. A TPI 90- I 8i ! 20 d> i | 10 • i 30 " 0- • • • • ! • • . . f . . . W/O METASTASIS i . i i i i -1-. i i i -i i i W/ METASTASIS FIG. 3. Ranges and means of TPIs for malignant GSTs with and without metastasis. Vol. 100-No. 4 432 ANATOMIC PATHOLOGY Original Article significant correlation was found between the MC and PCNA TPI, an observation consistent with other studies of solid tumors using PCNA,12 thus suggesting PCNA TPI as an additional prognostic parameter for these enigmatic tumors. The logistic regression analysis suggests that the TPI, independent of the MC and size, contributes significantly to the prediction of outcome. The regression model seems more useful in predicting no evidence of disease than for metastasis or recurrence, as indicated by the relatively high specificity. Additional studies must be performed to determine the relative value of size, MC, and TPI in predicting outcome, especially survival. Despite the fact that the aggregate evidence indicates some biologic and clinical utility of PCNA staining, its application for an individual case with currently available technology is limited. We observed significant variation of PCNA TPIs for individual cases and for the benign, borderline, and malignant tumor categories. Multiple factors may be responsible for this variation, including length and type of fixation, sampling bias, intratumoral heterogeneity, and visual thresholds in the assessment of positive staining. Variable staining intensity within a tumor also may result from differences in antigen preservation. Previous studies have found that PCNA staining may vary with length of fixation and preparatory techniques.25 Studies with a larger number of cases—as well as standardization of preparatory techniques and methods of quantitation of TPI, and reduction in interlaboratory and intralaboratory variation of results30—must be performed before PCNA immunostaining can be used as a reliable adjunct in routine surgical pathology practice. 11. Hall PA, Levison DA. Assessment of cell proliferation in histological material. J Clin Pathol 1990;43:184-192. 12. Robbins BA, Vega D, Ogata K, et al. Immunohistochemical detection of proliferating cell nuclear antigen in solid human malignancies. Arch Pathol Lab Med 1987; 111:841-845. 13. Antonioli DA. Gastrointestinal autonomic nerve tumors: Expanding the spectrum of gastrointestinal tumors itorial]. Arch Pathol Lab Med 1989;113:831-833. 14. Shiu MH, FarrGH, Papachristou BN, Hajdu SI. Myosarcomas of the stomach: Natural history, prognostic factors and management. Cancer 1982;49:177-187. 15. Haque S, Dean P. Stromal neoplasms of the rectum and anus. Lab Invest 1989;60:38A(Abstr). 16. Federspiel BH, Sobin LH, Helwig EB, et al. Morphometry and cytophotometric assessment of DNA in smooth muscle tumors (leiomyomas and leiomyosarcomas) of the gastrointestinal tract. Anal Quant Cytol Histol 1987;9:105-114. 17. Sokal RR, Rohlf FJ. Biometry. San Francisco: WH Freeman and Company, 1981, pp 429-432. 18. Woosley JT. Measuring cell proliferation. Arch Pathol Lab Med 1991;115:555-557. 19. Silverberg SG. Reproducibility of the mitosis count in the histologic diagnosis of smooth muscle tumors of the uterus. Hum Pathol 1976;7:451-454. 20. Hitchcock CL. K.i-67 staining as a means to simplify analysis of tumor cell proliferation itorial]. Am J Clin Pathol 1991;96:444445. 21. Celis JE, Bravo R, Larsen PM, Fey SJ. 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