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Japanese Journal of Clinical Oncology Pages 123-128


Macroscopic Features at the Deepest Site of Tumor Penetration Predicting Liver Metastases of Colorectal Cancer
Introduction
Materials and Methods
   Patients
   Macroscopic and Histopathological Examination
   Statistical Analysis
Results
   Characteristics of Streak Type Tumor
   Predictive Value for Liver Metastasis
   Cumulative Survival Rate
Discussion
Acknowledgment
References

Macroscopic Features at the Deepest Site of Tumor Penetration Predicting Liver Metastases of Colorectal Cancer

Macroscopic Features at the Deepest Site of Tumor Penetration Predicting Liver Metastases of Colorectal Cancer

Masafumi Inomata1,2, Atsushi Ochiai1, Kenichi Sugihara3, Yoshihiro Moriya3, Naohito Yamaguchi4, Yosuke Adachi2, Seigo Kitano2, Setsuo Hirohashi1

1Pathology Division, National Cancer Center Research Institute, Tokyo, 2First Department of Surgery, Oita Medical University, Oita, 3Surgery Division, National Cancer Center Hospital, Tokyo and 4Cancer Information and Epidemiology Division, National Cancer Center Research Institute, Tokyo, Japan

Liver metastasis is the gravest prognostic factor in colorectal cancer. To identify a reliable indicator for liver metastasis, we evaluated macroscopic features and seven established histopathological findings at the cut section containing the deepest penetration using univariate and multivariate analyses in 417 colorectal cancers. Macroscopic features were divided into two types, streak type and non-streak type, according to the presence or absence of white streak(s) at the advancing margin of tumor invasion. Streak type was observed in 109 patients (26%). The frequency of liver metastasis in streak type tumors (56%) was significantly higher than that in non-streak type tumors (13%) (p < 0.001). The white streak corresponded histologically with cancer cells showing focal dedifferentiation with marked stromal and perivascular fibrosis extending towards the serosa or adventitia. In 343 curatively treated patients, univariate analysis showed that recurrent liver metastasis was significantly associated with macroscopic features, venous invasion, focal dedifferentiation and lymph node metastasis. Multivariate analysis disclosed that macroscopic features and lymph node metastasis were independent indicators of liver metastasis. These macroscopic features, corresponding histologically to stromal behavior against invading cancer cells, are a simple and useful indicator of liver metastasis of colorectal cancer.

Key words: colorectal cancer - liver metastasis - macroscopic features - lymph node metastasis - multivariate analysis

Introduction

Liver metastasis is found in approximately one-third of patients with colorectal cancer and is an important cause of death (1,2). Prediction of liver metastasis is important since high-risk patients may benefit from systemic or regional chemotherapy after operation (3-5).

Liver metastasis of colorectal cancer correlates with several histopathological findings including lymph node metastasis (6), deeper tumor penetration (7), venous invasion (8,9), differentiation of tumor invasive region (10,11), growth pattern (12,13) and host inflammatory cell reaction (14,15) and molecular biological properties including laminin (16), CD44 variants (17), matrix metalloproteases (18) and sialyl-Lewis X (19). However, these factors have rarely been utilized clinically, because of their low specificity in identifying liver metastasis and the complexity and impracticality of examinations.

Recently, we reported that `focal dedifferentiation' (20), a histopathological finding at the invasive front of primary colorectal cancer, was associated with liver metastasis. This finding was mainly defined by the morphology of cancer cells dissociating from the glandular structure and invading with solitary or trabecular nests, whereas stroma around focal dedifferentiation also frequently exhibited desmoplastic features with marked fibrosis and neovascularization, which suggested the activation of stromal reaction against invading cancer cells. Consequently, an overall estimate of morphological changes of both cancer cells and stroma may predict more accurately the metastatic potential of a primary tumor than an estimate of only cancer cells.

To estimate more accurately an overall feature formed by both cancer cells and stroma, we investigated the macroscopic features at the cut section of primary tumors. In examining and evaluating a large number of patients by multivariate analysis, we found a characteristic macroscopic feature at the tumor invasive region, which was a more simple and reliable indicator of liver metastasis than established histopathological factors of colorectal cancer.

Materials and Methods

Patients

A total of 553 patients who underwent surgery for colorectal cancer at the National Cancer Center Hospital between July 1984 and December 1988 were originally reviewed. Of these, 35 patients with synchronous or metachronous multiple cancers, 12 with familial adenomatous polyposis coli or chronic inflammatory bowel disease, 28 on whom there was incomplete clinical information of at least 5 years' follow-up, 33 who died of other diseases and 28 who underwent polypectomy were excluded from this study. A total of 417 patients were finally entered into the study. Of these eligible patients, 37 had simultaneous liver metastases at the time of surgery and 343 were curatively treated cases, of whom 65 developed liver metastasis during their follow-up period.

The diagnosis of liver metastasis was confirmed by ultrasonography, computed tomography (CT), magnetic resonance imaging (MRI) or histological examination on laparotomy.

Macroscopic and Histopathological Examination

Using color photographs of cut sections containing the deepest portion of tumor penetration, macroscopic findings were divided into two types, streak type and non-streak type (Figs 1 and 2). Streak type was featured by an invasive pattern with one or more white streak(s) extending more than 1 cm beyond the muscularis propria towards the serosa or adventitia. All samples were examined independently by two observers (M.I. and A.O.) and any differences were resolved by a joint review.


Figure 1. Macroscopic features at the cut section containing the deepest site of tumor penetration in colorectal cancer. Streak type is defined as an invasive pattern showing one or more white streak(s) (arrows) extending beyond the muscularis propria toward the serosa or adventitia. Non-streak type is defined as an invasive pattern without any white streak.


Figure 2. Color photographs at the cut section containing the deepest point of tumor penetration after fixation in 10% formalin solution (left) and their sections with HE staining (right). Streak type (a, b) and non-streak type (c) are shown.

Seven histopathological variables were examined: histological type, depth of tumor penetration, lymphatic invasion, venous invasion, focal dedifferentiation (20), inflammatory cell infiltration and lymph node metastasis. The location of venous invasion was divided into two groups: intramural (submucosal and muscular layer) and extramural (beyond the muscular layer). Cases in which venous invasion was observed in both the intramural and extramural layers were classified in the extramural group.

Statistical Analysis

An unconditional logistic regression analysis was performed to assess the univariate and multivariate effects of various parameters on liver metastasis (21). Histological type was evaluated as a nominal variable and other variables were evaluated by single-order variables in the model, as shown in the codes in Table 3. This model selection was based on the forward stepwise procedure (enter limit 0.05). Survival rates were calculated by the Kaplan-Meier method (22) and survival curves were compared by the log-rank test (23).

Results

Characteristics of Streak Type Tumor

Of 417 patients, 109 (26.1%) had streak type tumor and 308 (73.9%) had non-streak type tumor. The frequency of liver metastasis was 56.0% in streak type tumor and 13.3% in non-streak type tumor, showing a statistically significant difference (p < 0.001, Table 1). The streak type tumor was characterized by deeper tumor penetration (p < 0.05), frequent venous invasion (p < 0.05) and high degree of focal dedifferentiation (p < 0.05) (Table 2).

Table 1. Relationship between macroscopic features and liver metastases in 417 patients with colorectal cancer
Macroscopic feature Liver metastases p value
  Positive
(n = 102)
Negative
(n = 315)
 
Streak type (n = 109) 61 (56.0%) 48 (44.0%)  
      <0.001
Non-streak type (n = 308) 41 (13.3%) 267 (86.7%)  

Table 2. Comparison between streak type and non-streak type
Variable Macroscopic feature p value
  Streak
(n = 109)
Non-streak
(n = 308)
 
Location
Colon 50 141 N.S.
Rectum 59 167  
Size (cm)
<5.0 55 160 N.S.
[ge]5.0 54 148  
Histological type
Well 50 149
Moderate 56 138 N.S.
Poor 2 15  
Others 1 6  
Depth of tumor penetration
Within muscularis propria 2 51  
Beyond muscularis propria but not involving serosa 55 132 <0.05
Beyond muscularis propria involving serosa 52 125  
Lymphatic invasion
Absent 38 126 N.S.
Present 71 182  
Venous invasion
Absent 47 197  
Intramural 21 66 <0.05
Extramural 41 45  
Focal dedifferentiation
None or mild degree 54 210 <0.05
Moderate or severe degree 55 98
Host inflammatory cell infiltration
Mild degree 83 208 N.S.
Moderate or severe degree 26 100  
N.S.: not statistically significant.

The white streak, which was macroscopically observed at the invasive region of streak type tumor, corresponded histopathologically to marked stromal and perivascular fibrosis extending towards the serosa or adventitia (Fig. 3). In approximately one-third of cases with streak type tumor, cancer cells invaded the extramural vein in the white streak, filling the vein and adhering to the vein wall. In these regions, invading cancer cells frequently showed focal dedifferentiation, exhibiting desmoplastic stromal reaction, where fibroblasts and endothelial cells with enlarged nuclei and basophilic cytoplasm were found (Fig. 4).

Predictive Value for Liver Metastasis

In 343 patients undergoing curative surgery, univariate analysis showed that recurrent liver metastasis was associated with the macroscopic features (p < 0.001), venous invasion (p < 0.05), focal dedifferentiation (p < 0.05) and lymph node metastasis (p < 0.001) (Table 3). The sensitivity, specificity and predictive value of macroscopic features as an indicator of liver metastasis were 60, 85 and 79%, respectively, and the false-positive and false-negative rates were 12 and 10%, respectively. Multivariate analysisrevealed that the macroscopic features and lymph node metastasis were independent predictors of liver metastasis (Table 4). The predictive value of liver metastasis based on the macroscopic features and lymph node metastasis is shown in Table 5. The frequency of recurrent liver metastasis of patients having no lymph node metastasis with streak type tumor was 18.2% compared with 7.3% for those with non-streak type tumor. The frequency of recurrent liver metastasis of patients having lymph node metastasis with streak type tumor was 66.7% compared with 18.3% for those with non-streak type tumor.

Table 3. Variables associated with liver metastasis in univariate analysis of 343 patients undergoing curative surgery
Variable Code Liver metastases p value
    Positive
(n = 65)
Negative
(n = 278)
Macroscopic features
Streak type 1 27 34 <0.001
Non‐streak type 2 38 244  
Histological type
Well 1 28 146  
Moderate 2 32 119 N.S.
Poor 3 3 10  
Others 4 2 3  
Depth of tumor penetration
Within muscularis propria 1 4 48  
Beyond muscularis propria
but not involving serosa 2 25 123 N.S.
Beyond muscularis propria
involving serosa 3 36 107  
Lymphatic invasion
Absent 0 26 191  
Intramural 1 9 43 <0.05
Extramural 2 20 43  
Focal dedifferentiation
None or mild degree 0 32 183 <0.05
Moderate or severe degree 1 33 95  
Inflammatory cell infiltration
Mild degree 0 55 213 N.S.
Moderate or severe degree 1 10 65  
Lymph‐node metastasis
None 0 15 158  
1–4 1 37 99 <0.001
>4 2 13 21  
N.S.: not statistically significant.


Figure 3. Histopathological findings for the white streak. Cancer cells invaded extramural veins, almost filling the veins and adhering to the venous wall, exhibiting desmoplastic stromal reaction with marked perivascular fibrosis. (a and b, HE stain, ×40).


Figure 4. Focal dedifferentiation. This characteristic refers to cancer cells which focally lost glandular differentiation and invaded showing solitary and trabecular nests with desmoplastic stromal reaction at the invasive front of colorectal adenocarcinoma (HE stain, ×200).

Table 4. Variables indicating liver metastasis in multivariate analysis of 343 patients undergoing curative surgery
Variable Coefficient Standard error p value Exp (coefficient)
Macroscopic feature 1.6251 0.3249 <0.001 5.0791
Lymph node metastasis 1.1000 0.2266 <0.001 3.0041
Constant -4.0871 0.4859    

Table 5. Rate of liver metastases based on macroscopic features and lymph node metastasis in 343 patients undergoing curative surgery
Lymph node metastasis Macroscopic feature Number of patients Number of patients with liver metastasis
Absent (Dukes' A/B) Non-streak type
Streak type
151
22
11 (7.3%)
4 (18.2%)
Present (Dukes' C) Non-streak type
Streak type
131
39
24 (18.3%)
26 (66.7%)

Cumulative Survival Rate

In 343 patients undergoing curative surgery, the 5-year survival rate in patients with streak type tumor (70.3%) was significantly lower than that in patients with non-streak type tumor (89.2%, p < 0.05) (Fig. 5).


Figure 5. Cumulative survival curves in 343 patients undergoing curative surgery for colorectal cancer. *The 5-year cumulative survival rate in patients with streak type tumor was significantly lower than that in patients with non-streak type tumor (log-rank test, p < 0.05).

Discussion

Macroscopic investigation of the cut section of colorectal cancer provided characteristic features at the tumor invasive region and, according to the presence or absence of these macroscopic features, all cases examined were divided into two types: streak type and non-streak type. In our series, streak type tumor was closely related to the liver metastasis and characterized by deep wall invasion, frequent extramural venous invasion and a high degree of focal dedifferentiation. In addition to the lymph node metastasis, these histological parameters were predictors of liver metastasis. Hence it is reasonable that the streak type tumor featured by these histopathological findings was a significant indicator of liver metastasis. Since neither venous invasion nor focal dedifferentiation was an independent predictor of liver metastasis in multivariate analysis, macroscopic features and lymph node metastasis were most important in assessing liver metastases. The patients with lymph node metastasis, categorized as Dukes' C group (24), constituted approximately half of those undergoing curative surgery. Therefore, the macroscopic features combined with Dukes' staging system may help in the identification of patients at high risk of liver metastasis and these patients could then benefit from intensive chemotherapy (3-5). Furthermore, the survival rate of patients with streak type tumor was significantly lower than that of patients with non-streak type tumor. These macroscopic features are also useful as a prognostic indicator of colorectal cancer.

As a histopathological parameter for estimating the nature of the tumor margin, we used focal dedifferentiation (20). This is similar to `tumor budding', which refers to microscopic clusters of undifferentiated cancer cells just ahead of the invasive front (11) or the `infiltrating' type of Jass classification, which is characterized by deep, wide infiltration by isolated, individual tumor cells (13,14). Focal dedifferentiation exhibits a desmoplastic stromal reaction with marked fibrosis and neovascularization in addition to morphological changes of cancer cells at the tumor invasive front.

The white streak, which was macroscopically observed at the invasive region of streak type tumor, corresponded histopathologically to invading cancer cells often involving the extramural vein with marked perivascular fibrosis, where a high degree of focal dedifferentiation was frequently found. Hence the features of streak type tumor were formed by a marked stromal reaction against invading cancer cells, suggesting that a cancer-stromal interaction was important in regulating cancer metastasis. In estimating the morphological features of both cancer cells and stroma, our data suggested that it was more effective to examine the macroscopic appearance than individual histopathological findings, such as venous invasion and focal dedifferentiation.

In conclusion, this study clarified that the macroscopic features, which corresponded to the behavior of stroma against invading cancer cells, correlated well with liver metastasis and survival of patients with colorectal cancer. We hope that these simple and useful macroscopic features will be clinically useful and further contribute to pathological and biological assessment.

Acknowledgment

This study was supported in part by a Grant-in-Aid for the Second Term Comprehensive 10-year Strategy for Cancer Control from the Ministry of Health and Welfare of Japan.

References

1. Scheele J, Stangl R, Altendorf-Hofmann A. Hepatic metastases from colorectal carcinoma: impact of surgical resection on the natural history. Br J Surg 1990;77:1241-6. MEDLINE Abstract

2. Sugihara K, Hojo K, Moriya Y, Yamasaki S, Kosuge T, Takayama T. Pattern of recurrence after hepatic resection for colorectal metastases. Br J Surg 1993;80:1032-5. MEDLINE Abstract

3. Chang A, Schneider P, Sugarbaker P, Simpson C, Culnuane M, Steinberg S. A prospective randomized trial of regional versus systemic continuous 5-fluorodeoxyuridine chemotherapy in the treatment of colorectal liver metastasis. Ann Surg 1987;206:685-93. MEDLINE Abstract

4. Sugihara K. Continuous hepatic arterial infusion of 5-fluorouracil for unresectable colorectal liver metastases: phase II study. Surgery 1995;117:624-8. MEDLINE Abstract

5. Kemeny N, Conti J, Sigurdson E, Cohen A, Seiter K, Lincer R. A pilot study of hepatic arterial floxuridine combined with systemic 5-fluorouracil and leucovorin: a potential adjuvant program after resection of colorectal hepatic metastases. Cancer 1993;71:1964-71. MEDLINE Abstract

6. Yamazoe Y, Maetani S, Nishikawa T, Tobe T. Histopathological prediction of liver metastasis after curative resection of colorectal cancer. Surg Oncol 1992;1:237-44. MEDLINE Abstract

7. Fielding L. Clinical-pathological staging of large-bowel cancer: a report of the ASCRS Committee. Dis Colon Rectum 1988;31:204-9.

8. Talbot I, Ritchie S, Leighton MH, Hughes AO, Bussey HJ, Morson BC. The clinical significance of invasion of veins by rectal cancer. Br J Surg 1980;67:439-42. MEDLINE Abstract

9. Lapertosa G, Baracchini P, Fulcheri E, Tanzi R. Prognostic value of the immunocytochemical detection of extramural venous invasion in Dukes' C colorectal adenocarcinomas: a preliminary study. Am J Pathol 1989;135:939-45. MEDLINE Abstract

10. Teixeira CR, Tanaka S, Haruma K, Yoshihara M, Sumii K, Kajiyama G,et al. The clinical significance of the histologic subclassification of colorectal carcinoma. Oncology 1993;50:495-9. MEDLINE Abstract

11. Hase K, Shatney C, Johnson D, Trollope M, Vierra M. Prognostic value of tumor `budding' in patients with colorectal cancer. Dis Colon Rectum 1993;36:627-35. MEDLINE Abstract

12. Jass J, Atkin W, Cuzick J, Bussey H, Morson B, Northover J,et al. The grading of rectal cancer: historical perspectives and a multivariate analysis of 447 cases. Histopathology 1986;10:437-59. MEDLINE Abstract

13. Jass J, Love S, Northover J. A new prognostic classification of rectal cancer. Lancet 1987;i:1303-6.

14. Watt AG, House AK. Colonic carcinoma: a quantitative assessment of lymphocyte infiltration. Cancer 1978;41:279-82. MEDLINE Abstract

15. McGinnis MC, Edwin L, Bradley J, Pretlow TP, Ortiz-Reyes R, Bowden CJ, Stellato TA,et al. Correlation of stromal cells by morphometric analysis with metastatic behavior of human colonic carcinoma. Cancer Res 1989;49:5989-93. MEDLINE Abstract

16. Hida J, Matsuda T, Kitaoka M, Machidera N, Kubo R, Yasutomi M. The role of basement membrane in colorectal cancer invasion and liver metastasis. Cancer 1994;74:592-8. MEDLINE Abstract

17. Wielenga VJM, Heider KH, Offerhaus GJA, Adolf GR, Berg FM, Ponta H,et al. Expression of CD44 variant proteins in human colorectal cancer is related to tumor progression. Cancer Res 1993;53:4754-6.

18. Nakajima M, Morikawa K, Fabra A, Bucana C, Fidler I. Influence of organ environment on extracellular matrix degradative activity and metastasis of human colon carcinoma cells. J Natl Cancer Inst 1990;82:1890-8. MEDLINE Abstract

19. Hoff S, Matsushita Y, Ota D, Cleary K, Yamori T, Hakomori S,et al. Increased expression of sialyl-dimetric LeX antigen in liver metastases of human colorectal carcinoma. Cancer Res 1989;49:6883-8. MEDLINE Abstract

20. Ono M, Sakamoto M, Ino Y, Moriya Y, Sugihara K, Muto T, Hirohashi S. Cancer cell morphology at the invasive front and expression of cell adhesion-related carbohydrate in the primary lesion of patients with colorectal carcinoma with liver metastasis. Cancer 1996;78:1179-86. MEDLINE Abstract

21. Lemeshow S, Hosmer D. Estimating odds ratios with categorically scaled covariates in multiple logistic regression analysis. Am J Epidemiol 1988;119:147-51.

22. Kaplan E, Meier P. Nonparametric estimation from incomplete observations. Am Stat Assoc J 1958;53:457-81.

23. Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst 1959;22:719-48.

24. Dukes C. The classification of cancer of the rectum. J Pathol Bacteriol 1932;35:323-32.


Received June 25, 1997; accepted September 4, 1997
For reprints and all correspondence: Setsuo Hirohashi, Pathology Division, National Cancer Center Research Institute, 1-1, Tsukiji 5-chome, Chuo-ku, Tokyo 104, Japan
Abbreviations: CT, computed tomography; MRI, magnetic resonance imaging


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