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CD8/CD45RO T-cell infiltration in endoscopic biopsies of colorectal cancer predicts nodal metastasis and survival

  • Viktor H Koelzer1, 2,
  • Alessandro Lugli1, 2,
  • Heather Dawson1, 2,
  • Marion Hädrich3,
  • Martin D Berger5,
  • Markus Borner6,
  • Makhmudbek Mallaev1, 3,
  • José A Galván1,
  • Jennifer Amsler1,
  • Beat Schnüriger3,
  • Inti Zlobec1Email author and
  • Daniel Inderbitzin3, 4
Contributed equally
Journal of Translational Medicine201412:81

https://doi.org/10.1186/1479-5876-12-81

Received: 25 February 2014

Accepted: 21 March 2014

Published: 29 March 2014

Abstract

Background and aims

Reliable prognostic markers based on biopsy specimens of colorectal cancer (CRC) are currently missing. We hypothesize that assessment of T-cell infiltration in biopsies of CRC may predict patient survival and TNM-stage before surgery.

Methods

Pre-operative biopsies and matched resection specimens from 130 CRC patients treated from 2002-2011 were included in this study. Whole tissue sections of biopsy material and primary tumors were immunostained for pancytokeratin and CD8 or CD45RO. Stromal (s) and intraepithelial (i) T-cell infiltrates were analyzed for prediction of patient survival as well as clinical and pathological TNM-stage of the primary tumor.

Results

CD8 T-cell infiltration in the preoperative biopsy was significantly associated with favorable overall survival (CD8i p = 0.0026; CD8s p = 0.0053) in patients with primary CRC independently of TNM-stage and postoperative therapy (HR [CD8i] = 0.55 (95% CI: 0.36-0.82), p = 0.0038; HR [CD8s] = 0.72 (95% CI: 0.57-0.9), p = 0.0049). High numbers of CD8i in the biopsy predicted earlier pT-stage (p < 0.0001) as well as absence of nodal metastasis (p = 0.0015), tumor deposits (p = 0.0117), lymphatic (p = 0.008) and venous invasion (p = 0.0433) in the primary tumor. Infiltration by CD45ROs cells was independently associated with longer survival (HR = 0.76 (95% CI: 0.61-0.96), p = 0.0231) and predicted absence of venous invasion (p = 0.0025). CD8 counts were positively correlated between biopsies and the primary tumor (r = 0.42; p < 0.0001) and were reproducible between observers (ICC [CD8i] = 0.95, ICC [CD8s] = 0.75). For CD45RO, reproducibility was poor to moderate (ICC [CD45i] = 0.16, ICC [CD45s] = 0.49) and correlation with immune infiltration in the primary tumor was fair and non-significant (r[CD45s] = 0.16; p = 0.2864). For both markers, no significant relationship was observed with radiographic T-stage, N-stage or M-stage, indicating that assessment of T-cells in biopsy material can add additional information to clinical staging in the pre-operative setting.

Conclusions

T-cell infiltration in pre-operative biopsy specimens of CRC is an independent favorable prognostic factor and strongly correlates with absence of nodal metastasis in the resection specimen. Quantification of CD8i is highly reproducible and allows superior prediction of clinicopathological features as compared to CD45RO. The assessment of CD8i infiltration in biopsies is recommended for prospective investigation.

Keywords

Pre-operative biopsiesColorectal cancerPre-operative risk stratificationImmune infiltrationPrognostic factorNodal metastasis

Background

In solid cancers, the tumor microenvironment represents the interface between tumor, stromal and immune cells. In 2011 Hanahan and Weinberg defined the active evasion of cancer cells from attack and elimination by immune cells as a newly emerging hallmark of cancer [1]. One of the major challenges in cancer research is the translation of knowledge from basic science into daily diagnostic practice. In colorectal cancer (CRC), immunohistochemical double-staining allows an optimal visualization of the tumor-microenvironment by using a pancytokeratin marker for tumor cells and CD8 and CD45RO for T-cell subtypes [2, 3]. Indeed, cancer cells involved in epithelial-mesenchymal transition (EMT) are also known in the literature as “tumor buds” or “EMT-like tumor cells” and represent a morphological parameter of tumor progression and worse survival [48]. In their surroundings, T-cells are the most frequently detected immune cell type with a strong evidence-based prognostic power [3, 912].

The tumor microenvironment is a tumor area that is not only found at the invasive front of CRC, but also within the main tumor body. Consequently, the microenvironment containing intra-tumoral buds (ITB) and T-cells can also be sampled in superficial tumor regions in the preoperative biopsy. Importantly, the presence of ITB in biopsies of colon and rectal cancer patients has recently been associated with local and distant metastases [1315]. This approach has important clinical consequences as it allows better prediction of cancer biology already in the preoperative setting and significantly extends the information that can be obtained from biopsy material.

Assessment of biomarkers on biopsy material may also provide additional independent prognostic and predictive information [16]. This approach may thus aid standard radiographic and clinical staging of the CRC patient before surgery. Consequently, we aim to address whether the presence of CD8 and CD45RO positive T-cells in preoperative biopsies of colon and rectal cancer is predictive of patient survival and TNM-stage thus providing optimal support to oncologists, gastroenterologists and surgeons in the preoperative patient management.

Methods

Patients

346 primary CRC patients surgically treated from 2002-2011 at the Insel University Hospital (Bern, Switzerland) were initially included in this study. A matched preoperative diagnostic biopsy was available for 185 cases. An experienced gastrointestinal pathologist (AL) and two residents (VHK and HD), blinded to the findings from the preoperative biopsy reviewed all Haematoxylin and Eosin (HE) slides from surgical resections. All resection specimens were classified according to the TNM 7th edition. Presence of lymphatic invasion (L), venous invasion (V), perineural invasion (Pn), tumor grade (G), number of tumor deposits, histological subtype and number of lymph nodes harvested was recorded. Tumor regression grade for patients preoperatively treated with radio and/or chemotherapy was graded according to recommendations by the College of American Pathologists. Clinical data were obtained from patient records including age at diagnosis, gender, tumor location, clinical TNM-staging, and information on preoperative or postoperative therapy. Endpoints of interest were TNM-stage and overall survival. Information on overall survival was available for 76 patients (median survival 73.5 months, 95% CI: 29-105). 30 patients were treated pre-operatively and 63 received adjuvant therapy. All preoperative biopsies were re-reviewed. Information on the number of biopsies per patient and the number of biopsies containing tumor was determined.

Assay methods

Patient material was fixed in 10% buffered formalin and paraffin-embedded at the Institute of Pathology, University of Bern, Switzerland. Tumor blocks were sectioned at 4 μm. An immunohistochemistry double-stain for pancytokeratin marker AE1/AE3 (Dako, mouse monoclonal, 1:200, enzyme pre-treatment 5 minutes; DAB chromogen) and CD8 (Dako C8/144B, 1:100, pre-treatment with Tris buffer, at 95° for 20 minutes; AEC chromogen) as well as for AE1/AE3 and CD45RO (Abcam, 1:4000; pre-treatment with citrate buffer, at 100° for 30 minutes; AEC chromogen) using an automated Leica Bond III instrument with Haematoxylin counterstaining was performed. The local ethics committee of the Insel University Hospital (16-03-12) approved this study.

Evaluation of immunohistochemistry

All biopsies from a single patient were first scanned at low-power magnification (10x) and the five densest regions of intratumoral (i) and stromal (s) CD8+ and CD45RO+ T-cells were identified (Figure 1A). Within these areas, CD8i, CD8s, CD45ROi, and CD45ROs T-cells were then counted in 5 high-power fields each (HPF; 40x; area 0.1886 mm2). The average number of infiltrating T-cells per HPF was determined for each area and used for statistical analysis.
Figure 1

Visualization of immune infiltrates in biopsy material and study design. A: Visualization of immune infiltrates and tumor cells by immunohistochemical double-stain for CD8 (upper panel) or CD45RO (lower panel) and pancytokeratin in biopsy material (overview x 50, inset x 300). Stromal infiltrates are indicated by *, arrows indicate intraepithelial CD8+ or CD45RO+ T-cells. B: Study Design. 346 CRC patients were entered into the study, 185 of which had matched biopsies. Histopathological features and clinical data were re-reviewed. Immunohistochemistry for pancytokeratin and CD8 or CD45RO was performed. CD8+ and CD45RO+ T-cell infiltrates in biopsy specimens were evaluated in five HPF each of stroma and neoplastic epithelium. T-cell infiltrates were analysed for prediction of patient survival and histopathologic features of the matched resection specimen.

Study design

This study was designed according to the REMARK guidelines for tumor marker prognostic studies [17]. The study design is outlined in (Figure 1B). Of the 346 patients initially identified with surgically treated primary CRC from 2002-2011, 185 had matched preoperative biopsies. Patients receiving preoperative therapy (n = 30) were excluded from further analysis based on their small number. Immunohistochemistry was performed on the remaining 155 preoperative biopsies. Twenty-five cases had to be excluded from the study due to insufficient invasive carcinoma remaining in the diagnostic biopsy block. The final number of patients was 130. Patient characteristics are found in (Table 1).
Table 1

Patient characteristics and association of CD8+ cells (intra- and peri-tumoral) with clinicopathological data (max n = 130)

Feature

  

CD8i N (%)

CD8s N (%)

  
  

N (%)

Low

High

P-value

Low

High

P-value

Age (years) (n = 130)

Median (min, max)

72 (30-91)

71.4 (30-91)

73.8 (50-90)

0.3872

72.4 (30-91)

71 (30-90)

0.876

Gender (n = 130)

Male

80 (61.5)

61 (61.0)

19 (63.3)

1.0

40 (61.5)

40 (61.5)

1.0

 

Female

50 (38.5)

39 (39.0)

11 (36.7)

 

25 (38.5)

25 (38.5)

 

Histological subtype (n = 130)

Non-mucinous

106 (81.5)

80 (80.0)

26 (86.7)

0.5923

49 (75.4)

57 (87.7)

0.1123

 

Mucinous

24 (18.5)

20 (20.0)

4 (13.3)

 

16 (24.6)

8 (12.3)

 

Tumour location (n = 129)

Left

43 (33.3)

33 (33.3)

10 (33.3)

0.8606

21 (32.3)

22 (34.4)

0.7333

 

Rectum

30 (23.3)

22 (22.2)

8 (26.7)

 

17 (26.2)

13 (20.3)

 
 

Right

56 (43.4)

44 (44.4)

12 (40.0)

 

27 (41.5)

29 (45.3)

 

pT (n = 130)

pT1 + pT2

30 (23.1)

15 (15.0)

15 (50.0)

<0.0001

12 (18.5)

18 (27.7)

0.2979

 

pT3 + pT4

100 (76.9)

85 (85.0)

15 (50.0)

 

53 (81.5)

47 (72.3)

 

pN (n = 130)

pN0

54 (41.5)

34 (34.0)

20 (66.7)

0.0015

26 (40.0)

28 (43.1)

0.8588

 

pN1-2

76 (58.5)

66 (66.0)

10 (33.3)

 

39 (60.0)

37 (56.9)

 

cT (n = 30)

cT1-2

9 (31.0)

6 (27.3)

3 (42.9)

0.6424

5 (45.5)

4 (22.2)

0.2371

 

cT3-4

20 (69.0)

16 (72.7)

4 (57.1)

 

6 (54.6)

14 (77.8)

 

cN (n = 113)

cN0

68 (62.4)

50 (59.5)

18 (72.0)

0.2583

32 (57.1)

36 (67.9)

0.3229

 

cN1-2

41 (37.6)

34 (40.5)

7 (28.0)

 

24 (42.9)

17 (32.1)

 

No. LN collected (n = 130)

Median (min, max)

22 (4-73)

23.0 (6-67)

16.5 (4-73)

0.0842

23.0 (4-67)

18 (6-73)

0.1369

Tumour deposits (n = 108)

0

91 (84.3)

67 (79.8)

24 (100.0)

0.0117

42 (82.4)

49 (86.0)

0.792

 

≥1

17 (15.7)

17 (20.2)

0 (0.0)

 

9 (17.7)

8 (14.0)

 

Metastasis (n = 123)

cM0

86 (69.9)

63 (67.0)

23 (79.3)

0.2519

42 (68.8)

44 (71.0)

0.8457

 

cM1

37 (30.1)

31 (33.0)

6 (20.7)

 

19 (31.2)

18 (29.0)

 

Lymphatic invasion (n = 113)

L0

29 (25.7)

17 (19.3)

12 (48.0)

0.008

10 (18.5)

19 (32.2)

0.1312

 

L1

84 (74.3)

71 (80.7)

13 (53.0)

 

44 (81.5)

40 (67.8)

 

Venous invasion (n = 114)

V0

57 (50.0)

39 (44.3)

18 (69.2)

0.0433

26 (47.3)

31 (52.5)

0.708

 

V1-2

57 (50.0)

49 (55.7)

8 (30.8)

 

29 (52.7)

28 (47.5)

 

Perineural invasion (n = 111)

Pn0

100 (90.1)

75 (87.2)

25 (100.0)

0.0671

48 (90.6)

52 (89.7)

1.0

 

Pn1

11 (9.1)

11 (12.8)

0 (0.0)

 

5 (9.4)

6 (10.3)

 

Tumour grade (n = 130)

G1-2

85 (65.4)

66 (66.0)

19 (63.3)

0.8286

40 (61.5)

45 (69.2)

0.3566

 

G3

45 (34.6)

34 (34.0)

11 (36.7)

 

25 (38.5)

20 (30.8)

 

Postoperative therapy (n = 127)

None

88 (69.3)

65 (66.3)

23 (79.3)

0.2524

41 (64.1)

47 (74.6)

0.2491

 

Yes

39 (30.7)

33 (33.7)

6 (20.7)

 

23 (36.0)

16 (25.4)

 

MMR status (n = 117)

Proficient

99 (84.6)

77 (85.6)

22 (81.5)

0.5596

52 (89.7)

47 (79.7)

0.1996

 

Deficient

18 (15.4)

13 (14.4)

5 (18.5)

 

6 (10.3)

12 (20.3)

 

Survival time (n = 76)

Median (95% CI) months

73.5 (29-105)

53.1 (22.6-73.9)

Not reached

0.0026

26.4 (13.7-73.5)

105.4 (54.9-NE)

0.0053

Statistics

The Pearson’s correlation coefficient (r) was used to determine the strength of the linear relationship between immune cell counts in the biopsy and resection. The inter-observer agreement was determined using the intraclass correlation coefficient (ICC), with values approaching 1.0 indicating improved agreement. Logistic regression analysis was performed to calculate the probability of lymph node metastasis as a function of the number of immune cells in the biopsy. Briefly, the probability p = e(βo+β1x)/(1- e(βo+β1x)), where βo and β1 are estimates of the logistic equation and x is the number of immune cells. In order to select unbiased cut-off scores for “low” and “high” immune cell counts, we used the 50th- or 75th-percentiles. The Chi-Square or Fisher’s Exact test was used, where appropriate. Student’s T-test was applied for assessment of mean age differences. Univariate survival time analysis was carried out using the log-rank test and differences were plotted with Kaplan-Meier curves. After verification of the proportional hazards assumption, Cox regression analysis was performed with “low” immune cell counts as baseline hazard of 1.0. Hazard ratios (HR) and 95% CI were used to determine the effect of each variable on outcome. Included in the analysis were pT, pN, cM and postoperative therapy. P-values <0.05 were considered statistically significant. No correction for multiple comparisons was performed [18]. All analyses were carried out using SAS V9.2 (SAS Institute, Cary, NC).

Results

T-cell infiltration in biopsies of colon and rectal cancer

Stromal CD8 T-cells were considerably more frequent (median cell count per HPF 37.6 cells) than intraepithelial CD8 infiltrates (median cell count per HPF 3.4 cells). For CD45RO, a similar pattern was observed (median cell count CD45ROs = 56.6 cells; CD45ROi = 4.4 cells).

CD8+ and CD45RO + in the preoperative biopsy and impact on survival- univariable

CD8+ T-cell infiltration in the preoperative biopsy was significantly associated with favorable overall survival independent of stromal or intraepithelial T-cell location (CD8i, p = 0.0026; CD8s, p = 0.0053) (Figure 2A and B). For CD45RO, only stromal infiltrates showed a favorable association with survival time (p = 0.0031) (Figure 2C). No association with prognosis was observed for CD45ROi (p = 0.094) (Figure 2D).
Figure 2

Prognostic effects of CD8 and CD45RO T-cell infiltration in the pre-operative biopsy. A, B: Strong infiltration by CD8 cells in the pre-operative biopsy predicted a significantly prolonged survival independent of stromal or intraepithelial location (CD8i: p = 0.0026; 75th-percentile as cut-off, >6.2 cells; CD8s: p = 0.0011; 50th percentile as cut-off, >37.6 cells). C, D: Patients with strong CD45ROs infiltration derived a significant survival benefit (CD45ROs: p = 0.0031; 50th-percentile as cut-off, >56.6 cells). No significant associations with survival time were observed for CD45ROi infiltrates (CD45ROi; p = 0.0941; 50th percentile as cut-off, > 3.4 cells).

CD8+ and CD45RO + in the preoperative biopsy and impact on survival- multivariable

The strong correlation of a greater number of CD8+ and CD45RO+ T-cells with favorable prognosis is underlined in multivariable analysis (Table 2). The presence of CD8i in the biopsy maintained a significant favorable impact on survival after adjusting for the confounding effect of TNM-classification in the resection specimen (pT, pN, cM) and adjuvant therapy (HR = 0.55 (95% CI: 0.36-0.82); p = 0.0038). Similar findings were observed for CD8s (HR = 0.72 (95% CI: 0.57-0.9); p = 0.0049) and CD45ROs (HR = 0.76 (95% CI: 0.61-0.96); p = 0.0213). As determined in univariable analysis, CD45ROi was not associated with survival time in multivariable analysis.
Table 2

Multivariable analysis of CD8 and CD45RO with pT. pN, cM, and postoperative therapy

  

CD8i

 

CD8s

 

CD45ROi

 

CD45ROs

 
  

HR (95% CI)

P-value

HR (95% CI)

P-value

HR (95% CI)

P-value

HR (95% CI)

P-value

Marker

Low

1.0

0.0038

1.0

0.0049

1.0

0.2644

1.0

0.0213

 

High

0.55 (0.36-0.82)

 

0.72 (0.57-0.9)

 

0.88 (0.71-1.1)

 

0.76 (0.61-0.96)

 

pT

pT1-2

1.0

0.9525

1.0

0.4854

1.0

0.3584

1.0

0.4897

 

pT3-4

1.03 (0.39-2.75)

 

1.41 (0.54-3.67)

 

1.59 (0.6-4.3)

 

1.41 (0.53-3.72)

 

pN

pN0

1.0

0.6523

1.0

0.7057

1.0

0.6596

1.0

0.3729

 

pN1-2

0.82 (0.36-1.9)

 

0.85 (0.37-1.95)

 

0.83 (0.36-1.9)

 

0.69 (0.3-1.6)

 

cM

cM0

1.0

0.0683

1.0

0.0485

1.0

0.1844

1.0

0.1348

 

cM1

2.05 (0.95-4.4)

 

2.2 (1.01-4.81)

 

1.7 (0.78-3.7)

 

1.8 (0.83-3.9)

 

Postoperative therapy

None

1.0

0.2672

1.0

0.2425

1.0

0.3805

1.0

0.4301

 

Yes

0.63 (0.28-1.42)

 

0.63 (0.29-1.37)

 

0.7 (0.32-1.55)

 

0.73 (0.33-1.6)

 

Prediction of TNM-stage of the resection specimen based on the evaluation of CD8+ and CD45RO + immune infiltrates in the preoperative biopsy

Clinicopathological associations of CD8+ and CD45RO+ T-cell infiltrates are summarized in (Table 1 and Additional file 1: Table S1). Patients with weak CD8i infiltration in the biopsy frequently presented with locally advanced tumors at the time of resection (p < 0.0001). In fact, 85% (n = 85) of patients with low CD8i in the pre-operative biopsy (<6.2 cells on average per 5 HPF; 75th percentile) were diagnosed with pT3 or pT4 primary tumors. No associations were observed for CD8s, CD45ROi or CD45ROs. Radiographic T-staging was available for a subset of patients (n = 30). As compared to pathological staging, radiographic T-staging underestimated the anatomic extent of the primary tumor (31% cT1/2 as compared to 6.2% pT1/2). No correlation of T-cell infiltration with radiographic T-stage was observed.

A low CD8i count in the biopsy was significantly associated with detection of positive lymph nodes (p = 0.0015) in the resection specimen. Using the cut-off score of 6.2 cells, 66% (n = 66) of patients with low CD8i showed lymph node positivity in comparison to 33.3% (n = 10) patients with high CD8i counts. A probability scale for predicting the risk of lymph node metastasis as a function of CD8i infiltration is shown in (Figure 3). The more CD8i T-cells are observed, the lower the risk of nodal metastasis. For instance, a patient with absence of CD8i in the preoperative biopsy would have a 67% risk of nodal metastasis, which decreases to 35% in a patient with 20 CD8i in the biopsy and to only 21% when 30 CD8i are present. In practical application, this allows risk estimation of nodal metastasis based on the immunohistochemical staining of a single marker in biopsies of CRC.
Figure 3

Clinical application example. Slides are first scanned under low magnification and regions of densest CD8i T-cell infiltrates are identified. CD8i T-cells infiltrates are then quantified in five HPF of highest density (HPF area 0.1886 mm2). The probability of lymph node metastasis can be determined based on a nomogram of CD8i counts. The fewer T-cells in the biopsy, the greater the risk of nodal metastasis.

Interestingly, the evaluation of CD45ROs provided additional discriminatory information for the identification of patients at high risk of nodal metastasis. A low CD45ROs count (<56.6 cells) was significantly associated with lymph node positivity (p = 0.0073) with 70.8% of patients with low CD45ROs counts (n = 46) presenting with nodal metastasis at the time of resection as compared to 46.2% (n = 30) with strong CD45ROs infiltration (Table 3).
Table 3

Combination of CD8i and CD45p for prediction of pN + (n = 130) shown are frequency (n) and column percent (%)

 

CD8i neg/CD45p neg

Only 1 positive

CD8i pos/CD45p pos

Total

P-value

pN0

11 (21.6)

31 (49.2)

12 (75.0)

54

0.0002

pN+

40 (78.4)

32 (50.8)

4 (25.0)

76

 

Total

51

63

16

130

 

For 113 patients information on radiographic N-staging from pre-operative examinations was available (Table 1 and Additional file 1: Table S1). As compared to pathological staging, pre-operative radiographic staging appeared to underestimate the frequency of nodal metastasis (37.6% cN1-2 as compared to 58.5% pN1-2). Interestingly, no correlation of CD8+ or CD45RO + T-cell infiltration with radiographic N-staging was observed. A tendency towards a higher average number of CD8+ and CD45RO+ T-cell infiltrates was observed in biopsies from patients with absence of distant metastasis. However, the association between CD8+ or CD45RO+ T-cell infiltrates in the biopsy and absence of distant metastasis did not reach statistical significance.

Additional prognostic factors

A greater number of CD8i T-cells in biopsy samples was strongly predictive of the absence of lymphatic vessel invasion (p = 0.008), venous vessel invasion (p = 0.433), and absence of tumor deposits (p = 0.0117) in the resection specimen. For CD45ROs, a significant association with absence of venous invasion (p = 0.0073) was determined. Further, CD45ROi infiltrates were more frequently observed in patients with mismatch-repair deficient CRC (p = 0.02). No association of CD8i, CD8s or CD45ROs infiltration with MMR-status was identified.

Correlation between CD8 and CD45RO immune cell counts in biopsy and resections

Full tissue sections of primary tumors (n = 50) were evaluated for CD8s and CD45ROs infiltration and were compared to the matched biopsy on a case by case basis. The correlation coefficient for CD8s was r = 0.42 (p < 0.0001) suggesting a moderate positive relationship. For CD45ROs, only a fair and non-significant correlation between biopsy and resection was observed (r = 0.16; p = 0.2864).

Inter-observer agreement of CD8 and CD45RO immune cell counts in the biopsy

The ICC was used to calculate the inter-observer agreement in 50 biopsy cases for CD8i, CD8s, CD45ROi, and CD45ROs, with values closer to 1.0 indicating stronger agreement. For CD8i and CD8s, the ICC was 0.95 and 0.75 indicating excellent and strong agreement, respectively. For CD45ROi and CD45ROs, the ICC values were 0.16 and 0.49 indicating only poor to moderate agreement.

Discussion

Accurate prognostication is essential for choosing the optimal therapeutic approach for primary CRC. Based on the evaluation of CD8 and CD45RO infiltrates in biopsy specimens of colon and rectal cancers, we demonstrate prediction of patient survival, the anatomic extension of the primary tumor, the presence of positive lymph nodes, lymphovascular invasion, and tumor deposits. The evaluation of T-cell infiltrates based on immunohistochemistry is easy, fast and reproducible indicating usefulness in daily diagnostic practice. Taken together, these results may impact the treatment strategy for CRC patients in distinct clinical settings.

First, we identify a highly significant and independent association of CD8 and CD45ROs T-cell infiltrates in the preoperative biopsy with patient survival after resection of the primary tumor. This data is in consistence with several large retrospective clinical studies including robust multivariable analyses that have identified CD8 and CD45RO immune infiltration as central prognostic indicator in CRC resection specimens [9, 19]. The current study now suggests that the prognostic power of immune infiltrates in CRC can already be harnessed in the preoperative setting. This information significantly extends the spectrum of available preoperative prognostic indicators based on biopsy material. In clinical practice, this may provide important prognostic information in patients receiving preoperative radiotherapy and chemotherapy. As immune infiltrates cannot be reliably assessed in these cases after resection, the preoperative biopsy is critical in providing prognostic information in these cases. Consequently, CRC patients with low in-situ immune infiltration may be considered a high risk group and may benefit from pre-operative therapy followed by surgical resection [2022, 16].

Second, we demonstrate that CD8i and CD45ROs immune infiltration in the biopsy allows prediction of nodal metastasis and tumor deposits in the preoperative setting. This may provide important information to the surgeon when deciding on the optimal strategic approach to a CRC patient. In the setting of early invasive CRC, patients with a low or absent infiltration by CD8 and CD45RO T-cells may best be managed by segmental resection due to the significantly increased risk of lymph node metastasis [23]. Low T-cell infiltration in biopsies could therefore expand the list of established high risk features in early CRC as detailed by Quirke and colleagues in the European guidelines for quality assurance: incomplete excision, poor differentiation, lymphatic invasion, tumor budding, and venous invasion [23]. To further develop this preliminary evidence, statistically robust studies should be performed to confirm absence of T-cell infiltration in the preoperative biopsy as a high risk feature for early stage patients.

In patients with locally advanced operable colon cancer, preoperative chemotherapy is an important line of development [22, 24]. Accurate identification of nodal positive patients is essential for patient selection. Radiographic staging is standard of care in the pre-operative setting but sub-optimal sensitivity and specificity values for detection of nodal metastasis have been reported [25]. Computed tomography may only correctly identify positive lymph nodes in 45% of cases, and cut-off diameters for identification of positive lymph-nodes are a matter of debate [25, 26]. In our study, radiographic staging of locoregional nodes significantly underestimated the frequency of nodal metastasis (37.6% cN1-2 as compared to 58.5% pN1-2). In this setting, assessment of T-cell infiltrates in biopsy specimens may provide additional valuable information on the relative risk for nodal metastasis.

Third, the preoperative estimation of tumor stage may also assist in planning the optimal surgical approach in locally advanced colon and rectal cancer. We demonstrate that patients with low CD8i infiltration in the biopsy are at high risk of transmurally invasive primary tumors with lymphovascular invasion, spread to local lymph nodes and formation of tumor deposits in the pericolic tissue. In colon cancer, extensive lymph node removal by resection in the mesocolonic plane should be advocated to reduce the relative risk of tumor recurrence and improve long term survival for these patients [2729]. In rectal cancer, pre-operative staging has profound therapeutic implications. Early stage patients may be treated by radiotherapy alone while locally advanced or nodal-positive patients may be treated with chemotherapy or radiotherapy before resection [30]. In addition to radiographic staging, low immune infiltration may indicate the need for a risk-adapted therapeutic approach taking into consideration an elevated risk of lateral lymph node metastasis, deep tumor infiltration, and presence of tumor deposits.

The present study has several strengths. First, we provide a novel approach for prognostication of CRC patients in the preoperative setting based on a robust and well-established biomarker. The prognostic value of CD8 infiltration in primary CRC has been established in numerous large and statistically robust studies and this marker is included as central feature in the immunoscore consortium led by the Society for Immunotherapy of Cancer (SITC) [31]. Second, our analysis is based on a well-characterized cohort with complete follow-up including CRC patients of all stages. Third, this study is designed in accordance with the REMARK guidelines for tumor marker prognostic studies including assessment of inter-observer reproducibility [17]. Based on the superior reproducibility and prognostic value of CD8 over CD45RO as a biomarker, we provide a specific practical approach requiring immunostaining of a single slide for CD8 infiltrates followed by quantification of T-cell infiltrates in five HPF of highest density. CD8 infiltrates may also be efficiently evaluated using bioinformatics approaches saving time in the manual assessment of slides [9]. Consequently, evaluation of this single marker by immunohistochemistry in biopsies is a promising method of risk prediction in daily diagnostic practice.

Weaknesses of the study include the limited sample size involving only a relatively small cohort of rectal cancer cases. Cut off levels for T-cell infiltration may be influenced by the inherent characteristics of the study collective. Consequently, we recommend prospective investigation and external validation of the prognostic value of CD8+ and CD45RO + immune infiltrates in biopsy specimens on independent cohorts.

Conclusions

Assessment of T-cell infiltration in preoperative biopsies provides additional independent prognostic information for CRC patients. Quantification of CD8i T-cell infiltrates may aid standard radiographic and clinical staging of the primary tumor and provide information on the relative risk for nodal metastasis before surgery. Evaluation of CD8i infiltration by immunohistochemistry is highly reproducible and shows superior potential as a prognostic marker in comparison to CD45RO. The assessment of CD8i T-cell infiltration in biopsies is recommended for prospective investigation.

Ethics committee approval

The local ethics committee of the Insel University Hospital (16-03-12) approved this study.

Notes

Abbreviations

CEA: 

Carcinoembryoenic antigen

CRC: 

Colorectal cancer

EMT: 

Epithelial-mesenchymal transition

HPF: 

High-power fields

HR: 

Hazard ratio

ICC: 

Intra-class correlation coefficient

ITB: 

Intra-tumoral budding

REMARK: 

REporting recommendations for tumor MARKer prognostic studies

SITC: 

Society for Immunotherapy of Cancer

TNM-stage: 

Tumor Node Metastasis stage.

Declarations

Acknowledgments

The authors would like to thank Mary Economou and Caroline Hammer from the Translational Research Unit, Institute of Pathology, University of Bern for excellent technical support.

Funding source

This project was funded by the Bernese Cancer League. The funding source had no influence on the study design, analyses or interpretation of the results presented in the paper.

Authors’ Affiliations

(1)
Translational Research Unit (TRU), Institute of Pathology, University of Bern
(2)
Clinical Pathology Division, Institute of Pathology, University of Bern
(3)
Departments of Visceral Surgery and Medicine, Bern University Hospital
(4)
Department of Surgery, Tiefenau Hospital
(5)
Department of Medical Oncology, Bern University Hospital
(6)
Department of Oncology, Hospital Centre Biel

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© Koelzer et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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