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Originally published as JCO Early Release 10.1200/JCO.2003.01.094 on October 14 2003

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Journal of Clinical Oncology, Vol 21, Issue 22 (November), 2003: 4092-4099
© 2003 American Society for Clinical Oncology

Predictors of Occult Metastasis in Clinical Stage I Nonseminoma: A Systematic Review

Yvonne Vergouwe, Ewout W. Steyerberg, Marinus J.C. Eijkemans, Peter Albers, J. Dik F. Habbema

From the Center for Clinical Decision Sciences, Department of Public Health, Erasmus MC, Rotterdam, The Netherlands; and the Department of Urology, Bonn University, Bonn, Germany.

Address reprint requests to Yvonne Vergouwe, PhD, Center for Clinical Decision Sciences, Department of Public Health, Ee20-33, Erasmus MC, PO Box 1738, 3000 DR Rotterdam, The Netherlands; e-mail: y.vergouwe{at}erasmusmc.nl.


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS’ DISCLOSURES OF...
 REFERENCES
 
Purpose: Patients with clinical stage I nonseminomatous testicular germ cell tumor should ideally receive adjuvant therapy only when they are at high risk for occult metastasis. We aimed to quantify the importance of predictors for occult metastasis by performing a systematic review of the relevant literature. In addition, we reviewed published multivariable models and risk-adapted treatment policies.

Patients and Methods: We identified 23 publications between 1979 and 2001, reporting a total of 2,587 patients. Twenty-nine percent of the patients (759 of 2,587 patients) had occult metastases, which was diagnosed either at retroperitoneal lymph node dissection (n = 193) or during follow-up (n = 566). Odds ratios (OR) were pooled using meta-analysis techniques.

Results: The presence of vascular invasion of the primary tumor cells had the strongest effect (OR, 5.2; 95% CI, 4.0 to 6.8). Immunohistochemical staining of the primary tumor cells with the MIB-1 monoclonal antibody showing proliferative activity was a promising predictor (OR, 4.7; 95% CI, 2.0 to 11). Intermediate effects were found for embryonal carcinoma in the primary tumor (OR, 2.9; 95% CI, 2.0 to 4.4) and a high pathologic stage of the tumor (OR, 2.6; 95% CI, 1.8 to 3.8). Size of the primary tumor and age of the patient had weaker though also statistically significant associations with occult metastasis. Until now, multivariable models often included vascular invasion and embryonal carcinoma with one or two weaker predictors. None of the published risk-adapted treatment policies included MIB-1 staining.

Conclusion: Several strong predictors for occult metastasis were identified. A risk-adapted treatment policy should be developed that incorporates all relevant predictors so that adjuvant therapy is targeted better to those with occult metastases.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS’ DISCLOSURES OF...
 REFERENCES
 
MOST PATIENTS with clinical stage I nonseminomatous testicular germ cell tumor (NSGCT) can be cured by orchidectomy alone. Approximately 30% of patients with NSGCT have occult metastatic disease, which can be detected at retroperitoneal lymph node dissection (RPLND) or on surveillance.1–3 Some oncologists consider RPLND as a staging procedure that might be followed by adjuvant chemotherapy if metastases are revealed.4 Others prefer surveillance with chemotherapy administration after detection of relapse.5,6 Both treatment policies have excellent long-term survival rates (98% to 99%), but each approach has important drawbacks. RPLND and chemotherapy can induce morbidity.7 In particular, chemotherapy may have long-term adverse effects.8,9 Conversely, surveillance can lead to detecting relapses at a more advanced disease stage if compliance is poor. Therefore, efforts have been made to select patients at high risk for occult metastasis who can be offered immediate adjuvant treatment.10,11 Additional unnecessary treatment may be avoided in patients at low risk.

To distinguish high-risk patients from low-risk patients, many groups studied the associations between tumor and patient characteristics and occult metastasis in clinical stage I NSGCT.2,5,6,12–35 This resulted in a number of well-known predictors, particularly vascular invasion and embryonal carcinoma. Several predictors have been combined in multivariable regression models,17,26,33 and these models underlie risk-adapted treatments. Patients at high or intermediate risk are then offered chemotherapy (often several cycles of bleomycin, etoposide, and cisplatin [BEP]) or RPLND, whereas patients at low risk go on a surveillance protocol without further treatment until relapse.11,36

Several reviews have qualitatively summarized studies on predictors. However, a systematic review is required to quantify the strength of the known predictors more precisely. From the evidence-based literature, systematic reviews have been promoted, which include a comprehensive search for available data and a quantitative summary.37 In addition to a systematic review of predictors for occult metastasis, we reviewed reported multivariable models and proposed risk-adapted treatment policies.


    PATIENTS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS’ DISCLOSURES OF...
 REFERENCES
 
Study Identification
We searched the MEDLINE database from 1979 to 2001 to identify all English-language studies on predictors of occult metastasis for clinical stage I NSGCT patients. Search text words were "testicular neoplasms," "neoplasm staging or neoplasm metastasis," and "risk factors or prognosis." Relevant references in articles were also considered. Studies were included if the association between occult metastasis or patient and tumor characteristics was quantified. The clinical staging procedure had to be described and had to contain determination of the serum tumor markers alpha-fetoprotein (AFP) and human chorionic gonadotrophin (HCG) after orchidectomy, and radiologic examination of chest and abdomen.38 If two studies included patients from the same center with overlapping time periods, we included the study with the largest population or with the longest follow-up period. In some cases, both studies were included because different characteristics were studied.

Outcome
The studies reported different definitions of occult metastasis in clinical stage I. If patients underwent RPLND, positive lymph nodes might reveal occult metastasis (pathologic stage II [PS II]). Characteristics of patients with PS II were compared with characteristics of patients with negative lymph nodes (PS I). In centers with a surveillance policy, occult metastasis was defined as relapse. Characteristics of patients with relapse were compared with those of patients without relapse. Combinations of the two policies were also described.26,39 When more than one definition of occult metastasis was reported, we used the most informative definition. For instance, we used PS I versus PS II with additional follow-up for PS I to find relapses instead of PS I versus PS II only.26

Histologic and Clinical Characteristics
The association with the presence of occult metastasis was studied for the following histologic and clinical characteristics: vascular invasion of tumor cells, histology of the primary tumor, pathologic stage of the primary tumor, size of the primary tumor, preorchidectomy levels of AFP and HCG, and patient age.

Vascular invasion was defined as the presence of tumor cells within a well-defined endothelium-lined space. Some studies distinguished venous invasion and lymphatic invasion. If those types were not explicitly mentioned, we assumed that vascular invasion included venous and lymphatic invasion. Most studies classified the tumor histology according to the WHO system: mature teratoma, immature teratoma, embryonal carcinoma, yolk sac tumor, teratocarcinoma, choriocarcinoma, and seminoma.40 Associations with the presence or absence of mature teratoma, embryonal carcinoma, and yolk sac were determined. A pooled estimate could also be determined for the percentage of embryonal carcinoma at a cutoff value of 50%. Furthermore, the British definition of differentiated teratoma was analyzed.41 The pathologic stage of the primary tumor was considered when determined according to the tumor-node-metastasis system classification:42 pT1 was then compared with pT2 to pT4. Size of the primary tumor was dichotomized in all studies. One study used a cutoff value of 3.5 cm,26 whereas the other studies used 3.0 cm.16,19,20,22 Because we could not identify heterogeneity between the studies, they were pooled. Preorchidectomy levels of AFP and HCG were classified as normal or elevated. Patient age was twice dichotomized at a cutoff value of 30 years.20,43 Two other studies used a cutoff value of 29 years.16,22 The results were pooled, given that no heterogeneity was present.

Tumor Proliferative Activity
Tumor proliferative activity has been measured with several techniques. Some studies used single-cell cytophotometry or flow cytometric analysis to show the association between the presence of proliferative activity of the primary tumor cells and occult metastasis. All studies used different parameters for proliferative activity, which complicated any analysis. Therefore, we only analyzed an immunohistochemistry technique, using the monoclonal antibody (MIB-1). MIB-1 binds with the Ki-67 receptor, which is expressed by proliferating cells in late G1, S, G2, and M phases.44 Several studies reported the percentage of Ki-67–positive primary tumor cells. A high percentage of Ki-67–positive cells indicates high proliferative activity. The percentage of positive cells was reported continuously or classified with a cutoff value of 70%.

Multivariable Odds Ratios and Risk-Adapted Treatments
Multivariable associations between occult metastasis and tumor or patient characteristics reported in the literature were summarized. In some studies, aggregated or individual data were reported without an explicit multivariable analysis. In these instances, we estimated multivariable odds ratios (ORs) with logistic regression analysis.

In addition, we searched for reports on risk-adapted treatment protocols. We were interested in protocols with only RPLND or cisplatin-based chemotherapy as adjuvant treatment. Reports were included if the outcomes of the protocol were evaluated.

Statistical Analysis
We calculated univariable ORs from the 2 x 2 tables as reported in the studies with patients undergoing RPLND. Surveillance studies observed the patients often for more than 2 years, indicating that few patients were censored before they could experience relapse. Therefore, ORs were calculated instead of hazard ratios, which would have been the most appropriate statistical measure if the patients had incomplete follow-up. The pooled ORs and 95% CIs were calculated with a random-effects meta-analysis method.45 This method takes study variability into account. Pooling was performed if the tumor or patient characteristic was reported by at least two studies.

We examined whether the predictor effects depended on differences in study characteristics.46 The following characteristics were considered: the treatment (RPLND or surveillance), study perspective (retrospective or prospective), and study size. Study size was used to identify possible publication bias. This bias may be relevant because statistically significant results usually have a greater chance of being published than insignificant results, leading to, on average, greater effect estimates in smaller studies. The heterogeneity of an effect was tested for statistical significance by fitting a weighed linear regression model of ln (study OR) on the study characteristics, for which each study OR was weighed by the reciprocal of its variance. Study size was included in the model as the square root of the total number of patients. If important heterogeneity was found (P < .10), the pooled OR was calculated for each category of the study characteristic.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS’ DISCLOSURES OF...
 REFERENCES
 
We included 23 studies (Table 1Go), of which four included more than 150 patients.17,26,33,43 Five studies performed RPLND, 17 studies observed patients until disease relapse, and one study randomly assigned patients to either RPLND or risk-adapted treatment.39 One of the six studies that performed RPLND monitored relapse in PS I patients to find misclassified patients.26 The reported median follow-up times in the studies with surveillance varied between 30 and 139 months. A longer follow-up time did not result in a higher proportion of identified occult metastases (Fig 1Go). This confirms that follow-up in this study was sufficient to detect occult metastasis. The studies involved 2,587 patients; 193 of 621 patients (31.1%) had PS II disease at RPLND, and 566 of 1,966 patients (28.8%) experienced disease relapse during follow-up. This difference was not statistically significant (P = .27). Overall, the percentage of patients with occult metastasis was 29.3% (759 of 2,587 patients).


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Table 1. Characteristics of 23 Studies Included in the Systematic Review for Predictors of Occult Metastasis in Clinical Stage I NSGCT
 


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Fig 1. Association between length of follow-up in surveillance studies and proportion of identified occult metastases. Retroperitoneal lymph node dissection studies were set at 0 months of follow-up. For three surveillance studies, the median follow-up time was not reported (*).

 
Predictors
Twenty-one studies reported the effect of vascular invasion. For the other predictors, smaller numbers of studies were available (Table 2Go). The pooled ORs of all three definitions of vascular invasion (venous, lymphatic, and venous or lymphatic) were high (4.7, 5.4, and 5.2, respectively). The presence of differentiated teratoma in the primary tumor strongly decreased the risk of having occult metastasis (pooled OR, 0.13), although the 95% CI was wide (0.02 to 0.85; ie, the absence of differentiated teratoma increased the risk between 1.2 and 50). This predictor was present in only 6% of the patients, which implies that it will not be helpful in identifying the 70% patients without occult metastases. Other predictors indicating the histology of the primary tumor had more moderate effects, such as the presence of embryonal carcinoma (OR, 2.9) and the presence of mature teratoma (OR, 0.48), as did the pathologic stage of the primary tumor (OR, 2.6 for pT2–4 v pT1). A larger primary tumor and older age also increased the risk of occult metastasis. Furthermore, MIB-1 staining of the primary tumor was a promising predictor (OR, 4.7 for > 70% v <= 70% stained cells). No associations were found for yolk sac histology and serum levels of AFP and HCG before orchidectomy. Both positive and negative effects were found in the individual studies for these characteristics.


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Table 2. Pooled Univariable Odds Ratios for Predictors of Occult Metastasis in Clinical Stage I NSGCT
 
Some indication of heterogeneity of effect was found for the pathologic stage of the tumor in relation to the definition of occult metastasis (P = .053). The overall pooled OR was 2.4 (95% CI, 1.7 to 3.5), but the ORs were somewhat higher in studies with RPLND treatment (OR, 4.0; 95% CI, 2.5 to 7.7) and lower in studies where surveillance was the standard procedure (OR, 2.1; 95% CI, 1.4 to 3.4).

Several studies reported the mean difference in continuous characteristics between patients with and without occult metastasis. The pooled mean difference was 42% (range of differences, 35% to 49%) for the percentage of primary tumor cells containing embryonal carcinoma24,35,54 and 12% (range of differences, 6.8% to 18%) for the percentage of primary tumor cells staining for MIB-1.35,54,55 The percentages of positive cells were greater in the patients with occult metastasis.

Multivariable ORs
Four studies reported multivariable associations with occult metastasis (Table 3Go). One study used Cox regression analysis;17 the other multivariable estimates were based on logistic regression analyses.33,47,53 We also estimated multivariable associations with information reported in six other studies using logistic regression analysis.


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Table 3. Multivariable ORs for Risk of Occult Metastasis in Clinical Stage I NSGCT
 
Vascular invasion showed the strongest effect. Two studies, which possibly included some of the same patients,47,54 reported high estimates (OR, 8.2 and 13.5, respectively). The other ORs were approximately 4.0, compared with a pooled univariable OR of 5.2. In eight of the 10 studies, the presence of embryonal carcinoma was used to describe the histology of the primary tumor. In two other studies, absence of teratoma elements was used for this purpose. In none of the models were embryonal carcinoma and teratoma included together.

The percentage of embryonal carcinoma was included linearly47 in one of the four reported models, with an OR of 1.03. This may seem small, but it becomes substantial for higher percentages because the variable was analyzed continuously. A model constructed with reported data24 containing the percentage of embryonal carcinoma and vascular invasion resulted in a similar OR (1.03) for embryonal carcinoma. A model with percentage of embryonal carcinoma categorized (<= 45%, 46% to 79%, and >= 80%) with vascular invasion showed ORs of 2.1 and 8.2 for the categories 46% to 79% and >= 80%, respectively.24 In another constructed model, the ORs were 7.4 and 9.0, respectively.54

Several studies reported that embryonal carcinoma and vascular invasion were correlated.53 This is confirmed by the decrease in the ORs for embryonal carcinoma and vascular invasion when estimated together in a multivariable model. However, in most studies the factors remained independent predictors, indicating that the correlation was not high.

The contradictory multivariable estimates for serum AFP level (< 1.026 and > 1.024; Table 3Go) indicate that AFP is not a valuable predictor for occult metastasis. The pooled univariable OR was also not statistically significantly different from 1.0 (Table 2Go). None of the models included together the three strongest predictors, vascular invasion, embryonal carcinoma, and MIB-1, although Albers et al35 reported that all three factors had independent effects when combined in one model.

Risk-Adapted Treatment
Table 4Go lists the reported risk-adapted treatment policies and corresponding relapse rates. Oliver et al36 reported one of the first risk-adapted treatments. This treatment was based on the four variables as included in the Medical Research Council model (venous invasion, lymphatic invasion, embryonal carcinoma, and yolk sac).17 Patients with at least two risk factors received two cycles of chemotherapy with BEP. The other patients went on a surveillance protocol. Only one of the 22 high-risk patients (5%) experienced disease relapse after chemotherapy, whereas three of the 19 low-risk patients (16%) experienced disease relapse after a median follow-up time of 43 months. Cullen et al59 considered the same four variables. Three risk factors had to be present before a patient was defined as high risk. Only two of the 114 high-risk patients (2%) experienced relapse after chemotherapy treatment.


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Table 4. Risk-Adapted Treatment Policies for Clinical Stage I NSGCT Found in the Literature
 
Overall, four of the six policies considered at least embryonal carcinoma and vascular invasion. Low-risk patients went on surveillance protocol, and high-risk patients were offered chemotherapy, mainly two courses of BEP. Two studies also defined an intermediate-risk group. Those patients underwent RPLND and subsequent chemotherapy if positive lymph nodes were present.

If we combine all results of the treated high-risk patients, irrespective of the differences in definition of high risk, 3% of the patients (seven of 273 patients) experienced relapse after chemotherapy. In contrast, 16% of the low-risk patients (32 of 199 patients) experienced relapse, and 13% of the intermediate-risk patients (14 of 104 patients) experienced relapse after PS I diagnosis, whereas 17% of the intermediate-risk patients (16 of 104 patients) had PS II disease.


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS’ DISCLOSURES OF...
 REFERENCES
 
We systematically combined evidence on predictors for occult metastasis of NSGCT. We confirmed the strong effect of vascular invasion. The proliferative activity of the primary tumor cells was a promising predictor. Intermediate effects were found for the histology of the primary tumor and the pathologic stage of the primary tumor. Other predictors were size of the primary tumor and age. However, a risk-adapted treatment policy that takes into account at least the three strongest predictors (vascular invasion, proliferative activity of the primary tumor cells, and histology of primary tumor) was not considered.

Several definitions were used for the predictors. Therefore, not all publications, though they studied the same underlying phenomenon, could be combined. The meta-analysis showed that all definitions for vascular invasion (venous and lymphatic alone or together) resulted in similar estimates of effect size. This confirms that the distinction between venous and lymphatic vessels does not add information on the risk of occult metastasis. The predictor venous or lymphatic is, therefore, the best one to use.

Histologic differences in the primary tumor were initially studied by the presence of embryonal carcinoma and the absence of mature teratoma or differentiated teratoma. In stepwise regression analyses, one of the two predictors was often included. Inclusion of embryonal carcinoma seems to exclude mature teratoma or differentiated teratoma and vice versa.26,47 This was illustrated by a backward stepwise analysis;33 among patients with complete values for all considered predictors (n = 135), mature teratoma was selected together with vascular invasion and preoperative serum level of HCG. The analysis was repeated after omission of the only predictor with missing values; that is, the maximum diameter of the primary tumor. In this analysis (n = 154), embryonal carcinoma was selected instead of mature teratoma, together with vascular invasion. Because the absence of mature teratoma has a weaker association with occult metastasis than the presence of embryonal carcinoma, and differentiated teratoma is not a common definition, embryonal carcinoma is the most accurate predictor for the histology of the primary tumor.

More recently performed studies reported the percentage of embryonal carcinoma in the primary tumor often in two or three categories (<= 50% and > 50%; or <= 45%, 46% to 79%, and >= 80%). Sesterhenn et al30 showed the continuous relation between the percentage of embryonal carcinoma and the risk of occult metastasis with a cubic spline function. The risk increased above 30%, suggesting that categorizing the predictor into two categories discards much information.62,63 The predictor could therefore better be studied as a continuous variable. Once the nature of the relation is assessed, a simple transformation (eg, one linear term or a number of categories with sensible cutoff points) may be defined.

In several tumors, the proliferative activity of the primary tumor is associated with metastatic behavior.64,65 The association of proliferative activity with occult metastasis in NSGCT has been determined with several techniques, such as cytophotometry, flow cytometry, and immunohistochemistry. The first two techniques are time consuming and expensive, whereas immunohistochemistry is rather simple and inexpensive. Examples of immunohistochemical assessments are staining primary tumor cells for proliferating cell nuclear antigen or MIB-1. A high percentage of tumor cells stained for proliferating cell nuclear antigen or MIB-1 was associated with a high risk of occult metastasis.35,66 Combining three studies on MIB-1 showed that more than 70% positive-stained tumor cells was associated with an increased risk of occult metastasis (OR, 4.7).35,39,49 However, the analysis was based on only 212 patients, and the cutoff value of 70% was data driven in two of the three studies. Additional study on this predictor is necessary.

All predictors for occult metastasis were frequently found in clinical stage I patients (Table 2Go), which makes them particularly valuable for identification of occult metastasis. A recent prospective study showed that the combination of the presence of vascular invasion, more than 70% MIB-1–stained cells, and >= 50% embryonal carcinoma cells in the primary tumor represented 29% of the patients with clinical stage I disease.67

We found four multivariable models predicting the risk of occult metastasis in the literature. All included histology of the primary tumor and vascular invasion. Characteristics such as serum level of AFP56 and yolk sac in the primary tumor17,36 were considered in several models, but their effects are not important according to our review. These chance findings can be explained by a limited sample size.

We used the reported data of Leibovitch et al57 to estimate the combined effects of embryonal carcinoma and MIB-1 staining. MIB-1, categorized as more than 80% staining versus <= 80%, was a strong independent predictor (OR, 3.3). Inclusion of vascular invasion likely diminishes this effect to some extent. We therefore anticipate that a model with vascular invasion, embryonal carcinoma, and MIB-1 will have ORs around 3 in multivariable logistic regression analysis. This implies an OR of 27 (3 x 3 x 3) for the patients with all three factors positive compared with patients with all negative factors. Exploring a model with the three strong predictors is therefore clearly worthwhile. This may enable a better identification of patients at either high or low risks than currently possible. The predictors pathologic stage of the tumor, size of the tumor, and patient age might further improve the model, although correlation between predictors may exist. A substantial number of patients will be needed to develop an accurate model with such a multivariable analysis.

As suggested by the risk-adapted treatment policies shown in Table 4Go, chemotherapy may be reserved for patients at high risk and those with metastases at RPLND. Patients at intermediate risk may first undergo RPLND, and patients at low risk may continue with surveillance. The current risk of 50% for patients in the high-risk group,43 however, may be considered as too low to warrant treating them with chemotherapy. This risk implies that 50% of the patients are exposed to unnecessary long-term toxic effects. Because a model that can predict risks higher than 50% is not available yet, a good alternative treatment may be RPLND with possibly adjuvant chemotherapy, or close observation with early initiation of chemotherapy for those patients who do experience relapse. Patients who can be identified to be at low risk may follow a simplified surveillance protocol.53 For instance, computed tomography scans may be performed only twice during the first year and then once a year during the following 2 years.

A limitation of the presented meta-analysis is that we combined studies with different definitions for the outcome variable "occult metastasis" (relapse after surveillance and pathologic stage II after RPLND). Moreover, we used the OR as measure of association instead of the statistically more appropriate hazard ratio. Our rationale was that few occult metastases would have been missed in the surveillance studies, given that the follow-up time was often long enough to identify occult metastasis (Fig 1Go). Furthermore, heterogeneity of effect in relation to the definition of occult metastasis was only found for the predictor pathologic stage of the tumor. These results suggest that for all predictors but the pathologic stage of the tumor, the effect sizes were similar for the two outcome definitions. However, heterogeneity for other predictors could have been missed, because some were reported in only a few studies.

Another limitation is the lack of a central pathology review, which is impossible in the analysis of published data. This may have caused variation in the interpretation of specific pathologic indices.

In conclusion, present models can define a high-risk group with an approximately 50% risk of occult metastasis and low-risk groups with an approximately 16% risk. A model with more variables and that also considers continuous variables (percentage of embryonal carcinoma and MIB-1) may be able to identify patients at higher and lower risks. Such an evidence-based model can then be the basis for improved risk-adapted treatment policies.


    AUTHORS’ DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS’ DISCLOSURES OF...
 REFERENCES
 
The authors indicated no potential conflicts of interest.


    ACKNOWLEDGMENTS
 
We thank S. Horenblas and L.H. Looijenga for critical comments on an earlier version of this article.


    NOTES
 
Supported by the Netherlands Organization for Scientific Research (Y.V.) and a fellowship from the Royal Netherlands Academy of Arts and Sciences (E.W.).


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS’ DISCLOSURES OF...
 REFERENCES
 
1. Donohue JP, Thornhill JA, Foster RS, et al: Retroperitoneal lymphadenectomy for clinical stage A testis cancer (1965 to 1989): Modifications of technique and impact on ejaculation. J Urol 149:237–243, 1993[Medline]

2. Pizzocaro G, Zanoni F, Salvioni R, et al: Surveillance or lymph node dissection in clinical stage I non-seminomatous germinal testis cancer? Br J Urol 57:759–762, 1985[Medline]

3. Peckham MJ, Brada M: Surveillance following orchidectomy for stage I testicular cancer. Int J Androl 10:247–254, 1987[Medline]

4. Bosl GJ, Motzer RJ: Testicular germ-cell cancer. N Engl J Med 337:242–253, 1997[Free Full Text]

5. Gelderman WAH, Schraffordt Koops H, Sleifer DTh, et al: Orchidectomy alone in stage I nonseminomatous testicular germ cell tumors. Cancer 59:578–580, 1987[CrossRef][Medline]

6. Sturgeon JFG, Jewett MAS, Alison RE, et al: Surveillance after orchidectomy for patients with clinical stage I nonseminomatous testis tumor. J Clin Oncol 10:564–568, 1992[Abstract/Free Full Text]

7. Baniel J, Foster RS, Rowland RG, et al: Complications of primary retroperitoneal lymph node dissection. J Urol 152:424–427, 1994[Medline]

8. Meinardi MT, Gietema JA, van der Graaf WT, et al: Cardiovascular morbidity in long-term survivors of metastatic testicular cancer. J Clin Oncol 18:1725–1732, 2000[Abstract/Free Full Text]

9. Kollmansberger C, Hartmann JT, Kanz L, et al: Therapy-related malignancies following treatment of germ cell cancer. Int J Cancer 83:860–863, 1999[CrossRef][Medline]

10. Sandeman TF, Yang C: Results of adjuvant chemotherapy for low-stage nonseminomatous germ cell tumors of the testis with vascular invasion. Cancer 62:1471–1475, 1988[CrossRef][Medline]

11. Pont J, Höltl W, Kosak D, et al: Risk-adapted treatment choice in stage I nonseminomatous testicular germ cell cancer by regarding vascular invasion in the primary tumor: A prospective trial. J Clin Oncol 8:16–20, 1990[Abstract/Free Full Text]

12. Raghavan D, Peckham MJ, Heyderman E, et al: Prognostic factors in clinical stage I non-seminomatous germ-cell tumours of the testis. Br J Cancer 45:167–173, 1982[Medline]

13. Fujime M, Chang H, Lin C-W, et al: Correlation of vascular invasion and metastasis in germ cell tumors of testis: A preliminary report. J Urol 131:1237–1241, 1984[Medline]

14. Moriyama N, Daly JJ, Keating MA, et al: Vascular invasion as a prognosticator of metastatic disease in nonseminomatous germ cell tumors of the testis. Cancer 56:2492–2498, 1985[CrossRef][Medline]

15. Javadpour N, Young JDJ: Prognostic factors in nonseminomatous testicular cancer. J Urol 135:497–499, 1986[Medline]

16. Hoskin P, Dilly S, Easton D, et al: Prognostic factors in stage I non-seminomatous germ-cell testicular tumors managed by orchiectomy and surveillance: Implications for adjuvant chemotherapy. J Clin Oncol 4:1031–1036, 1986[Abstract/Free Full Text]

17. Freedman LS, Parkinson MC, Jones WG, et al: Histopathology in the prediction of relapse of patients with stage I testicular teratoma treated by orchidectomy alone. Lancet 8554:294–298, 1987

18. Hoeltl W, Kosak D, Pont J, et al: Testicular cancer: Prognostic implications of vascular invasion. J Urol 137:683–685, 1987[Medline]

19. Dunphy CH, Ayala AG, Swanson DA, et al: Clinical stage I nonseminomatous and mixed germ cell tumors of the testis. Cancer 62:1202–1206, 1988[CrossRef][Medline]

20. Fung CY, Kalish LA, Brodsky GL, et al: Stage I nonseminomatous germ cell testicular tumor: Prediction of metastatic potential by primary histopathology. J Clin Oncol 6:1467–1473, 1988[Abstract/Free Full Text]

21. Sogani PC, Fair WR: Surveillance alone in the treatment of clinical stage I nonseminomatous germ cell tumor of the testis (NSGCT). Semin Urol 6:53–56, 1988[Medline]

22. Thompson PI, Nixon J, Harvey VJ: Disease relapse in patients with stage I nonseminomatous germ cell tumor of the testis on active surveillance. J Clin Oncol 6:1597–1603, 1988[Abstract/Free Full Text]

23. Costello AJ, Mortensen PH, Stillwell RG: Prognostic indicators for failure of surveillance management of stage I non-seminomatous germ cell tumours. Aust N Z J Surg 59:119–122, 1989[Medline]

24. Wishnow KI, Dunphy CH, Johnson DE, et al: Identifying patients with low-risk clinical stage I nonseminomatous testicular tumors who should be treated by surveillance. Urology 34:339–343, 1989[CrossRef][Medline]

25. Jacobsen KG, Rørth M, Østerlind M, et al: Histopathological features in stage I non-seminomatous testicular germ cell tumours correlated to relapse. APMIS 98:377–382, 1990[Medline]

26. Klepp O, Olsson AM, Henrikson H, et al: Prognostic factors in clinical stage I nonseminomatous germ cell tumors of the testis: Multivariate analysis of a prospective multicenter study. J Clin Oncol 8:509–518, 1990[Abstract]

27. Allhoff EP, Liedke S, Wittekind C, et al: DNA-content in NSGCT/CS I: A new prognosticator for biologic behaviour. J Cancer Res Clin Oncol 116:592, 1990

28. Rørth M, Jacobsen KG, von der Maasse H, et al: Surveillance alone versus radiotherapy after orchidectomy for clinical stage I nonseminomatous testicular cancer. J Clin Oncol 9:1543–1548, 1991[Abstract]

29. Colls BM, Harvey VJ, Skelton L, et al: Results of the surveillance policy of stage I non-seminomatous germ cell testicular tumours. Br J Urol 70:423–428, 1992[Medline]

30. Sesterhenn IA, Weiss RB, Mostofi FK, et al: Prognosis and other clinical correlates of pathologic review in stage I and II testicular carcinoma: A report from the testicular cancer intergroup study. J Clin Oncol 10:69–78, 1992[Abstract]

31. Austenfeld MS, Bilhartz DL, Nativ O, et al: Flow cytometric DNA ploidy pattern for predicting metastasis of clinical stage I nonseminomatous germ cell testicular tumors. Urology 41:379–383, 1993[CrossRef][Medline]

32. Ondrus D, Hornak M: Orchiectomy alone for clinical stage I nonseminomatous germ cell tumors of the testis (NSGCT): A minimum follow-up period of 5 years. Tumori 80:362–364, 1994[Medline]

33. Gels ME, Hoekstra HJ, Sleijfer DT, et al: Detection of recurrence in patients with clinical stage I nonseminomatous testicular germ cell tumors and consequences for further follow-up: A single center 10-year experience. J Clin Oncol 13:1188–1194, 1995[Abstract]

34. de Riese WTW, de Riese C, Ulbright TM, et al: Flow-cytometric and quantitative histologic parameters as prognostic indicators for occult retroperitoneal disease in clinical-stage-I non-seminomatous testicular germ-cell tumors. Int J Cancer 57:628–633, 1994[Medline]

35. Albers P, Bierhoff E, Neu D, et al: MIB-1 immunohistochemistry in clinical stage I nonseminomatous testicular germ cell tumors predicts patients at low risk for metastasis. Cancer 79:1710–1716, 1997[CrossRef][Medline]

36. Oliver RTD, Raja MA, Ong J, et al: Pilot study to evaluate impact of a policy of adjuvant chemotherapy for high risk stage 1 malignant teratoma on overall relapse rate of stage 1 cancer patients. J Urol 148:1453–1456, 1992[Medline]

37. Glasziou P, Irwig L, Bain C, et al: Systematic Reviews in Health Care. Cambridge, United Kingdom, Cambridge University Press, 2001

38. Peckham MJ, Barrett A, Husband JE, et al: Orchidectomy alone in testicular stage I non-seminomatous germ-cell tumours. Lancet 8300:678–680, 1982

39. Albers P, Siener R, Hartmann M, et al: Risk factors for relapse in stage I non-seminomatous germ-cell tumors: Preliminary results of the german multicenter trial. Int J Cancer 83:828–830, 1999[CrossRef][Medline]

40. Mostofi FK, Sobin LH: Histological Typing of Testis Tumours. Geneva, Switzerland, World Health Organisation, 1977

41. Pugh RCB, Cameron KM: Teratoma, in Pugh R (ed): Pathology of the Testis. Oxford, United Kingdom, Blackwell, 1976, pp 199–244

42. Harmer MH: TNM Classification of Malignant Tumours. Geneva, Switzerland, Union Internationale Centre le Cancer, 1978

43. Read G, Stenning SP, Cullen MH, et al: Medical research council prospective study of surveillance for stage I testicular teratoma. J Clin Oncol 10:1762–1768, 1992[Abstract/Free Full Text]

44. Cattoretti G, Becker MHG, Key G, et al: Monoclonal antibodies against recombinant parts of Ki-67 antigen (MIB-1 and MIB-3) detect proliferating cells in microwave-processed formalin-fixed paraffin sections. J Pathol 168:357–363, 1992[CrossRef][Medline]

45. Hardy RJ, Thompson SG: A likelihood approach to meta-analysis with random effects. Stat Med 16:619–629, 1996

46. Greenland S: Quantitative methods in the review of epidemiologic literature. Epidemiol Rev 9:1–30, 1987[Free Full Text]

47. Moul JW, McCarthy WF, Fernandez EB, et al: Percentage of embryonal carcinoma and vascular invasion predicts pathological stage in clinical stage I nonseminomatous testicular cancer. Cancer Res 54:362–364, 1994[Abstract/Free Full Text]

48. Sosnowski M, Jeromin L, Pluzanska A: Is modified retroperitoneal lymph node dissection (MRLND) still feasible in the treatment of patients with clinical stage I non-seminomatous testicular cancer? Int Urol Nephrol 26:471–477, 1994[Medline]

49. Albers P, Miller GA, Orazi A, et al: Immunohistochemical assessment of tumor proliferation and volume of embryonal carcinoma identify patients with clinical stage A nonseminomatous testicular germ cell tumor at low risk for occult metastasis. Cancer 75:844–850, 1995[CrossRef][Medline]

50. Nicolai N, Pizzocaro G: A surveillance study of clinical stage I nonseminomatous germ cell tumors of the testis: 10-year follow up. J Urol 154:1045–1049, 1995[CrossRef][Medline]

51. Sogani PC, Perrotti M, Herr HW, et al: Clinical stage I testis cancer: Long-term outcome of patients on surveillance. J Urol 159:855–858, 1998[CrossRef][Medline]

52. Roeleveld TA, Horenblas S, Meinhardt W, et al: Surveillance can be the standard of care for stage I nonseminomatous testicular tumors and even high risk patients. J Urol 166:2166–2170, 2001[CrossRef][Medline]

53. Alexandre J, Fizazi K, Mahé C, et al: Stage I non-seminomatous germ-cell tumours of the testis: Identification of a subgroup of patients with a very low risk of relapse. Eur J Cancer 37:576–582, 2001[CrossRef][Medline]

54. Heidenreich A, Sesterhenn IA, Mostofi FK, et al: Prognostic risk factors that identify patients with clinical stage I nonseminomatous germ cell tumors at low risk and high risk for metastasis. Cancer 83:1002–1011, 1998[CrossRef][Medline]

55. Albers P, Ulbright TM, Albers J, et al: Tumor proliferative activity is predictive of pathological stage in clinical stage A nonseminomatous testicular germ cell tumors. J Urol 155:579–586, 1996[CrossRef][Medline]

56. Klepp O, Dahl O, Flodgren P, et al: Risk-adapted treatment of clinical stage 1 non-seminoma testis cancer. Eur J Cancer 33:1038–1044, 1997[CrossRef][Medline]

57. Leibovitch I, Foster RS, Kopecky KK, et al: Improved accuracy of computerized tomography based clinical staging in low stage nonseminomatous germ cell cancer using size criteria of retroperitoneal lymph nodes. J Urol 154:1759–1763, 1995[CrossRef][Medline]

58. Pont J, Albrecht W, Postner G, et al: Adjuvant chemotherapy for high-risk clinical stage I nonseminomatous testicular germ cell cancer: Long-term results of a prospective trial. J Clin Oncol 14:441–448, 1996[Abstract/Free Full Text]

59. Cullen MH, Stenning SP, Parkinson MC, et al: Short-course adjuvant chemotherapy in high-risk stage I nonseminomatous germ cell tumors of the testis: A medical research council report. J Clin Oncol 14:1106–1113, 1996[Abstract/Free Full Text]

60. Ondrus D, Matoska J, Belan V, et al: Prognostic factors in clinical stage I nonseminomatous gem cell testicular tumors: Rationale for different risk-adapted treatment. Eur Urol 33:562–566, 1998[CrossRef][Medline]

61. Böhlen D, Borner M, Sonntag RW, et al: Long-term results following adjuvant chemotherapy in patients with clinical stage I testicular nonseminomatous malignant germ cell tumors with high risk factors. J Urol 161:1148–1152, 1999[CrossRef][Medline]

62. Simon R, Altman DG: Statistical aspects of prognostic factor studies in oncology. Br J Cancer 69:979–985, 1994[Medline]

63. Altman DG, Lausen B, Sauerbrei W, et al: Dangers of using "optimal" cutpoints in the evaluation of prognostic factors. J Natl Cancer Inst 86:829–835, 1994[Free Full Text]

64. Merkel D, Dresseler L, McGuire WL: Flow cytometry, cellular DNA content, and prognosis in human malignancy. J Clin Oncol 5:1690–1703, 1987[Abstract/Free Full Text]

65. Clark GM, Mathieu M-C, Owens MA, et al: Prognostic significance of S-phase fraction in good-risk, node-negative breast cancer patients. J Clin Oncol 10:428–432, 1992[Abstract/Free Full Text]

66. Fernandez EB, Sesterhenn IA, McCarthy WF, et al: Proliferating cell nuclear antigen expression to predict occult disease in clinical stage I nonseminomatous testicular germ cell tumors. J Urol 152:1133–1138, 1994[Medline]

67. Albers P, Siener R, Kliesch S, et al: Risk factors for relapse in clinical stage I non-seminomatous testicular germ cell tumors (NSGCT): Results of the German Testicular Cancer Study Group (GTCSG) trial. J Clin Oncol (in press)

Submitted January 16, 2003; accepted June 1, 2003.


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