Microsatellite instable vs stable colon carcinomas: analysis of tumour heterogeneity, inflammation and angiogenesis.

BACKGROUND: Microsatellite instability (MSI) accounts for 15% of all colorectal tumours. Several specific clinicopathologicals (e.g., preference for the proximal colon over the distal colon, improved prognosis and altered response to chemotherapeutics) are described for this subset of tumours. This study aimed to analyse morphological, inflammatory and angiogenic features of MSI vs microsatellite stable (MSS) tumours.
METHODS: Twenty-seven MSS and 29 MSI, TNM stage matched, colorectal tumours were selected from the archive of the Department of Pathology, UZ Leuven. Morphology was analysed on haematoxylin-eosin sections. Immunohistochemistry for CD3, CD4, CD8, CD20 and CD68 was used to map tumour infiltration in both a digital and traditional microscope-based manner for all distinct morphological components of the tumour. CD31 immunostains were performed to assess angiogenesis.
RESULTS: Morphological tumour heterogeneity was a marked feature of MSI tumours, occurring in 53% of the cases as compared with 11% of the MSS tumours (P<0.001). Digital immune quantification showed an increased number of tumour-infiltrating cytotoxic T-lymphocytes (CD8+) in MSI compared with MSS tumours for both the tumour (P=0.02) and peritumoural area (P=0.03). Traditional microscope-based quantification confirmed these results (P<0.001 for both) and, in addition, revealed large numbers of CD68+ macrophages in the peritumoural area of MSI cancers (P=0.001). Moreover, traditional microscope-based analysis was able to distinguish between lymphocytes directly infiltrating the tumoural glands (intra-epithelial) and those infiltrating only the neoplastic stroma around the glands (intratumoural). Quantification showed high numbers of intra-epithelial CD3+, CD4+, CD8+, CD20+ and CD68+ cells in MSI compared with MSS cancers (P<0.001, P=0.01, P<0.001, P<0.001 and P=0.006, respectively). Higher microvessel density (MVD) was observed in MSI tumours compared with their MSS counterpart.
CONCLUSIONS: Mixed morphology, reflecting tumour heterogeneity, is an important feature of MSI tumours and may have both diagnostic and therapeutic impact. The inflammatory reaction also presented with significant differences in MSI vs MSS colorectal tumours. MSI cancers showed mainly infiltration by cytotoxic T-cells in both the tumour and the close border around the tumour, as well as increased intra-epithelial infiltration in contrast to MSS tumours. The type of immune cell and the compartment it resides in (intratumoural or intra-epithelial) depend both on MSI status and morphology. Finally, MSI tumours showed a higher angiogenic capacity represented by an increased MVD, hinting for possible therapeutic consequences.

The molecular pathogenesis of colorectal cancer (CRC) is well documented but not yet fully understood. About 94% of the cases arises sporadically, a small minority of 5% has a hereditary origin and 1% can be attributed to chronic inflammatory bowel disease (Crohn's disease, colitis ulcerosa) (Fearon, 2011). Two major pathways are known in the development of colorectal carcinoma: the chromosomal instability (CIN) pathway and the microsatellite instability (MSI) pathway (Fleming ; Bogaert and Prenen, 2014). CIN is characterised by DNA aneuploidy and mutations in different proto-oncogenes and tumour-suppressor genes such as adenomatous polyposis coli tumour-suppressor gene, Kirsten-ras (K-ras) proto-oncogene and p53 tumour-suppressor gene and deleted in colon cancer tumour-suppressor gene. This pathway accounts for the majority of sporadic CRCs and for CRCs in the context of Familial Adenomatous Polyposis syndrome (Fearon and Vogelstein, 1990; Salahshor ). The MSI pathway, defined as a status of genomic instability due to a deficient DNA mismatch repair (MMR) system, accounts for 10–15% of sporadic CRCs. The MMR system consists of six proteins (MLH1, MSH2, MSH3, MSH6, PMS1 and PMS2) that interact to recognise and excise mismatches and mutations. Thereby they allow re-synthesis and re-ligation of the strand by DNA-polymerase δ en DNA-ligase (Ionov ; Thibodeau ; Alexander ; Heinimann, 2013). In case of MMR deficiencies, mostly due to hypermethylation of the MLH1 promotor region (Vilar and Gruber, 2010), the microsatellite repeats located throughout the genome will shorten or lengthen resulting in MSI (Kim ). MSI is also associated with CRCs arising in the context of hereditary nonpolyposis CRC, also known as Lynch syndrome. This syndrome is characterised by significantly increased risk of developing colorectal, endometrial and several other cancers due to germ-line mutations in one of the MMR genes (Ionov ; Pino and Chung, 2010).

CRCs with MSI are associated with a specific histological, mutational and clinical phenotype. Histologically, MSI tumours often present as more poorly differentiated cancers, with mucinous, signet cell and medullary differentiation frequently observed. In addition, they are typically infiltrated by lymphocytes and accompanied by an often prominent peritumoural Crohn's-like reaction (Shia ). Because of the distinct pathogenesis of MSI tumours, they often present with reduced frequencies of APC, TP53 and KRAS mutations and with a higher incidence of transforming growth factor, beta receptor II and BRAF mutations. This altered mutational landscape results in a decreased signalling through the WNT pathway (Cancer Genome Atlas Network, 2012; Donehower ). Clinically, this type of tumour is more frequently located proximal to the splenic flexure, has a more favourable prognosis and is less prone to lymph node and distant metastatic spread (Reimers ). Furthermore, studies have demonstrated that there was no benefit of addition of 5-fluorouracil (5-FU) chemotherapy for stages II and III MSI-H CRCs; a trend towards worse clinical outcome for those receiving 5-FU was even detected (Ribic ; Des Guetz ). However, other studies could not validate these findings (Sinicrope ). It has been suggested that the effects of anti-VEGF would also vary according to MSI status (Hansen ; Kloor ).

In this study, 57 CRCs were analysed with the aim to document in depth the presence of intratumoural heterogeneity, inflammatory reaction and angiogenic features in relation to MSI status.

Materials and methods

Patient selection

Twenty-nine specimen of CRC with known MSI and 27 cases known to be microsatellite stable (MSS), diagnosed between 2010 and 2013, were selected from the archive of the pathology department of the University Hospitals of Leuven. Patients who underwent preoperative radiotherapy or chemotherapy were excluded from this study (to avoid interference with the quality of immunohistochemistry). Furthermore, MSS cases were matched to MSI tumours for TNM criteria (Seventh edition AJCC/UICC). The diagnosis of CRC was established by histological examination using the World Health Organisation (WHO) criteria. Immunohistochemistry for MLH1, MSH2 and MSH6 was used to determine microsatellite stability status. Absence of one of the MMR proteins in the tumour cells with positivity of the internal control (lymphocytes) was used as criteria for MSI diagnosis. Cases negative for one of the MMR genes by immunohistochemistry were investigated for MSI by multiplex PCR using a validated panel of 10 microsatellite markers (BAT 25, BAT 26, D5S346, D17S250, D2S123, TGFB-RII, BAT40, D18S58, D17S787 and D18S69). Samples were graded as MSI-high when instability was observed in >30% of the tested microsatellites that conform to the Bethesda guidelines (Umar ). Hypermethylation of the MLH1 promoter was determined by MS-MLPA (SALSA MS-MLPA probe mix ME011-B2, MRC-Holland, Amsterdam, the Netherlands). The percentage of hypermethylation was the mean percentage between the Deng C and Deng D region of the MLH1 promoter. Percentages >15% were interpreted as positive for the hypermethylation of the MLH1 promoter. The presence of the BRAF V600E mutation was demonstrated by Sanger sequencing.

Immunohistochemistry

Formalin-fixed, paraffin-embedded sections were immunostained for CD3 (ready-to-use (RTU) rabbit polyclonal anti-human antibodies; Dako, Glostrup, Denmark), CD4, CD8, CD20, CD68, CD31 (RTU mouse monoclonal anti-human antibodies; Dako) and peripheral node addressin (PNAd) clone MECA-79 (1/3000; Biolegend, San Diego, CA, USA). All immunostains were performed on 5-μm-thick paraffin sections using the Dako autostainer. For visualisation, the Envision Flex system (Dako) was used and antigen retrieval was carried out using the Dako pretreatment module at pH=6. For PNAd, an additional incubation of 30 min was necessary with a rabbit anti-rat immunoglobuline (1/75 +10% normal human serum, Dako).

Morphological features

Haematoxylin and eosin (H&E) sections were investigated for different histological features, such as: degree of differentiation, following the WHO criteria based on the percentage of glands in the tumour (>95% good, 50–95% moderate and <50% poor), morphological pattern (glandular, mucinous or solid), fibrotic, and Crohn's-like reaction (absent, poor, moderate or extensive). Tumours were scored as glandular when gland formation was observed in the tumour without excessive mucus production. The tumour was scored as mucinous if >50% of the lesion was composed of pools of extracellular mucin containing malignant epithelium. If <50% the lesion was composed of mucin, the tumour was defined as a mucin-producing tumour. Solid differentiation was assigned when sheets of malignant cells in the absence of glandular formation were observed. To score morphology, one section per centimetre tumour was investigated with an average of 5 H&E slides with tumour per case (ranging from 2 to 15). Furthermore, all resected lymph nodes were checked for tumour metastasis with respect to morphology according to the previous definitions according to WHO criteria.

Immunoscores

Regarding immunohistochemistry, quantification of immune cells was assessed in a digital and traditional microscope-based manner. Only the representative FFPE block per tumour was studied, with one section per stain. For the digital quantification, slides were scanned utilising a digital slide scanner (NanoZoomer 2.0-HT C9600, Hamamatsu Photonics K.K., Hamamatsu city, Japan). Later, the regions of interest of tumour and peritumour, defined as 1-mm border around the tumour, were encircled on the digital images followed by quantification of the percentage of the positive tissue area (labelling index) in each region with the Visiomorph software (Visiopharm, Hoersholm, Denmark) (Verset ). For the traditional microscope-based analysis, positive cells were counted in 10 high-power fields (HPF, × 400) for the intra-epithelial (immune cells directly infiltrating the neoplastic glands), intratumoural (immune cells only infiltrating the neoplastic stroma surrounding the glands) and peritumoural (1 HPF around the tumour) compartments. The surface area of 1 HPF equals to 0.3025 mm2. Analysis for intra-epithelial and intratumoural compartment was carried out for each morphological pattern individually. The Klintrup–Makinen score for the tumour and the invasive margin was determined using the representative H&E section of each case. Therefore, immune infiltration by lymphocytes, neutrophilic and eosinophilic granulocytes were scored. A score 0, 1, 2 or 3 was assigned when respectively absent, weak (Patch-like infiltrate), moderate (band-like infiltrate) or severe increase (very prominent cup-shaped infiltrate) of each cell type was observed in the tumour area or invasive margin. A score 2 or 3 for the invasive margin was only assigned when destruction of cancer islets was observed.

Microvessel density (MVD)

Angiogenesis in tumours was evaluated by the CD31 staining: the number of blood vessels in the tumour area was counted and divided by the tumour area with MVD as a result (no. of vessels per mm2). Tumour area was measured by a digital micro imaging device (Leica, DMD108, Leica, Wetzlar, Germany).

Statistics

All statistical analyses were performed using the GraphPad Prism 5 software (GraphPad Software, La Jolla, CA, USA) and the Statistica Package (StatSoft, Tulsa, OK, USA). Differences between MSS and unstable tumours were investigated by comparing the cellular count values for each type of cells for different regions in the tumour using the Mann–Whitney U-test. The same statistical test was used to compare MVD between both groups. To check the association of MSI status with other categorical variables such as degree of differentiation, tumour heterogeneity, fibrotic reaction and Crohn's-like reaction, contingency tables were designed and statistically compared with Fisher's exact test. P<0.05 was used as criterion for significance.

Results

Clinicopathological characteristics

In total, 56 cases were collected, 29 MSI and 27 MSS tumours matching for TNM stage. The proportions of male and females were equally distributed in each group and the mean age of the patients in the MSI group was 67.2 years, with the youngest patient being 27 years and the oldest patient being 87 years. For the MSS group, the mean age was slightly higher with a mean age of 70.6 years and a range from 50 to 83 years. In the group of MSI tumours, a high predominance for the right colon was observed while MSS tumours were more frequently observed in the left colon (P=0.0004). As MSI and MSS tumours were selected to match for TNM criteria, no statement can be made with respect to this (Table 1). All MSI tumours were scored as MSI high by means of PCR. Eight out of the 29 MSI tumours occurred in the context of Lynch syndrome. Twenty-one MSI tumours arose in sporadic context and presented frequently with BRAFV600E mutations (66.6%) and variable levels of hypermethylation of the MLH1 promoter (ranging from 21% to 89% and an average of 46.5%).

Table 1

Clinicopathological characteristics

	MSI	MSS	P-value
Mean age, years	67.2	70.6
Sex
Men	14/29	15/27	P=0.6050
Women	15/29	12/27
Tumour site
Caecum	5/29	2/27	P<0.0001*
Ascending colon	15/29	7/27
Transverse colon	6/29	3/27
Descending colon	1/29	4/27
Sigmoid	2/29	6/27
Rectum	3/29	5/27
Proximal to splenic flexure	27/29	12/27
Differentiation grade
Well+moderately differentiated	8/29	21/27	P=0.0002*
Poorly differentiated	21/29	6/27
Crohn's-like reaction
Strong+moderate	4/29	5/27	P=0.7265
Poor+absent	22/29	20/27
?	3/29	2/27
Fibrotic reaction
Strong+moderate	9/29	13/27	P=0.2640
Poor+absent	17/29	12/27
?	3/29	2/27
T (tumour)
1	0/29	0/27	NA
2	1/29	1/27
3	15/29	17/27
4	13/29	9/27
N (lymph nodes)
0	16/29	14/27	NA
1	6/29	9/27
2	7/29	4/27
M (metastasis)
0	26/29	25/27	NA
1	3/29	2/27
Postoperative chemotherapy
Yes	13/29	19/27	NA
No	16/29	7/27
?	0/29	1/27
Recurrence
Yes	4/29	6/27	P=0.4966
No	25/29	21/27

Abbreviations: MSI=microsatellite instability; MSS=microsatellite stable; NA=not applicable.

*P<0.05.

Morphological characteristics

In our series of TNM-matched tumours, MSI cancers were significantly less differentiated compared with MSS tumours (P=0.0005). Seventeen MSI tumours presented with a mucinous differentiation and 15 MSI tumours with solid morphology. None of those patterns were common in MSS tumours: the mucinous pattern was observed in only three MSS cases, and solid differentiation was not identified in the MSS group. A more pronounced Crohn's-like reaction (P=0.72) or an altered degree of fibrosis (P=0.26) in MSI tumours compared with MSS cases was not noted.

Tumour heterogeneity in primary tumour and lymph node metastasis

Sixteen of the MSI tumours (55%) were composed of more than one morphological pattern, with combinations of glandular, mucinous and/or solid differentiation areas (Figure 1). This mixed morphology was observed in only 11% of the MSS tumours (P<0.0001). Sporadic and Lynch-associated tumours showed similar patterns of morphological heterogeneity, and BRAF mutational status did not affect the occurrence of heterogeneity. The glandular pattern was the most abundant pattern in the cohort of MSI heterogeneous tumours (15 out of 16), followed by mucinous and solid differentiation. Of the 16 MSI cases presenting with morphological heterogeneity, 8 presented with positive lymph nodes. In all but one case of the heterogeneous primary tumours with a component of a glandular growth pattern, the glandular component had metastasised to the lymph nodes. The solid pattern had high metastatic capacity to the lymph nodes in contrast to the mucinous differentiation pattern, which was only associated with two lymph node metastasis in the MSI group. However, the group of tumours with lymph node metastasis was too small for statistical analysis (Table 2).

Figure 1

Histologic and inflammatory reaction in MSI tumours. (A) H&E stain shows that this tumour is composed of a glandular and solid pattern. (B, C) Histology of the glandular and solid pattern in more detail. (D, E) Immunohistochemistry for CD3 shows a combination of intratumoral and intraepithelial lymphocytes in the glandular part of the MSI tumour, while mainly intra-epithelial lymphocytes were found in the solid part of the MSI tumour.

Table 2

Histological features

Case	Primary tumour			Lymph node metastasis
	Pattern 1	Pattern 2	Pattern 3	Pattern 1	Pattern 2
1	Solid	Mucinous	Glandular	Glandular	Solid
2	Solid	Glandular		Glandular
3	Solid	Glandular		Solid
4	Mucinous	Glandular		Glandular	Mucinous
5	Solid	Mucinous	Glandular
6	Glandular	Solid	Mucinous
7	Solid	Mucinous	Glandular	Solid	Glandular
8	Solid	Mucinous	Glandular	Solid	Glandular
9	Mucinous	Glandular
10	Glandular	Solid	Mucinous
11	Solid	Glandular	Mucinous
12	Glandular	Mucinous
13	Solid	Mucinous		Solid	Mucinous
14	Mucinous	Glandular
15	Solid	Glandular	Mucinous	Glandular
16	Glandular	Solid

Inflammation

Digital immune cell quantification showed increased numbers of tumour-infiltrating cytotoxic T-lymphocytes (CD8+) in MSI compared with MSS tumours for both the tumour (P=0.02) and peritumoural (1 mm border around the tumour) regions (P=0.03). Traditional microscope-based analysis confirmed those results (P<0.001 for both) (Figure 2). Moreover, digital analysis showed a tendency of higher CD3+ T-cell infiltration in MSI compared with MSS tumours (P=0.06). However, no other differences were found by means of digital analysis for the other lymphocyte markers (Table 3). Immunohistochemistry for CD68 displayed a lot of background signal and was therefore not suitable for digital analysis. In contrast, traditional quantification revealed large numbers of CD68+ macrophages in the tumour (P=0.05) and peritumoural area (P=0.001) of MSS tumours. Importantly, traditional microscope-based quantification allowed to distinguish between lymphocytes directly infiltrating the tumoural glands (intra-epithelial) and those infiltrating the neoplastic stroma around the glands in the tumour region (intratumoural). High numbers of intra-epithelial CD3+, CD4+, CD8+, CD20+ and CD68+ cells were observed in MSI compared with MSS tumours P<0.001, P=0.01, P<0.001, P<0.001 and P=0.006, respectively). On the contrary, MSS colorectal tumours were characterised by elevated levels of intratumoural CD3+, CD20+ and CD68+ cells (P<0.001, P=0.04 and P=0.009, respectively; Figure 3, Table 4). Lymphocytes were quantified for all distinct morphologic compartments within one tumour during traditional analysis. Glandular MSI tumours presented with a combination of intratumoural and intra-epithelial infiltrating CD3+, CD4+, CD8+, CD20+ and CD68+ cells while glandular MSS tumours showed mainly intratumoural infiltration of CD3+, CD20+ and CD68+ cells. The mucinous compartment showed lower immune infiltration compared with the other morphological components in both MSI and MSS tumours. Solid differentiation was only observed in MSI CRCs and characterised by a high abundance of intra-epithelial CD3+, CD4+, CD8+, CD20+ and CD68+ cells compared with the glandular and mucinous differentiation. With respect to the Klintrup–Makinen score, no differences were found in immune infiltration for the tumour and invasive margin in MSI and MSS tumours (Table 5).

Figure 2

Analogous lymphocyte quantification of MSI and MSS tumours. (A–D) No differences in CD3+ or CD4+ lymphocyte infiltration for the tumoral and peritumoral compartments were observed between MSI and MSS tumours. (E, F) Higher amount of infiltrating cytotoxic lymphocytes (CD8+) were observed in the tumoral and peritumoral compartments of MSI compared with MSS cases. (G, H) Similar amounts of CD20+ lymphocytes were quantified in the tumoral and peritumoral compartments of MSI and MSS tumours. (I, J) Macrophages (CD68+) are enriched in the peritumoral area of MSI compared with MSS tumours; however, these differences were not seen in the tumoral area.

Table 3

Labelling index of the different immune markers for each compartment and obtained by means of digital quantification

	Mann-Whitney U-test (*significance at P<0.05)
Digital analysis	Median MSI	Lower quartile MSI	Upper quartile MSI	Median MSS	Lower quartile MSI	Upper quartile MSS	2 × one-sided exact P
CD3 tumour	0.043	0.014	0.090	0.020	0.016	0.037	0.06
CD3 peritumour	0.052	0.036	0.095	0.044	0.030	0.061	0.30
CD4 tumour	0.001	0.000	0.005	0.001	0.000	0.004	0.45
CD4 peritumour	0.006	0.002	0.018	0.004	0.001	0.008	0.29
CD8 tumour	0.016	0.007	0.051	0.005	0.005	0.013	0.02*
CD8 peritumour	0.021	0.014	0.032	0.014	0.007	0.023	0.03*
CD20 tumour	0.003	0.001	0.005	0.002	0.001	0.004	0.25
CD20 peritumour	0.019	0.008	0.030	0.013	0.006	0.031	0.73
CD68 tumour	—	—	—	—	—		—
CD68 peritumour	—	—	—	—	—		—

Abbreviations: MSI=microsatellite instability; MSS=microsatellite stable.

*P<0.05.

Figure 3

Analogous quantification of immune cells in the intra-epithelial (IE) and intratumoral (IT) compartments of MSI and MSS tumours. (A, C, E, G, I) CD3+, CD4+, CD8+, CD20+ and CD68+ cells are enriched in the IE component of MSI compared with MSS tumours. (B, H, J) However, CD3+, CD20+ and CD68+ cells are more prevalent in the IT compartment of MSS cases. (D, F) No differences in CD4+ and CD8+ intratumoral lymphocyte infiltration were observed. The horizontal bars in the data distribution indicate medians.

Table 4

Results of analogous quantification of tumour-infiltrating lymphocytes counted in 10 HPF for the distinct compartments

	Mann-Whitney U-test (*significance at P<0.05)
Analogous analysis	Median MSI	Lower quartile MSI	Upper quartile MSI	Median MSS	Lower quartile MSS	Upper quartile MSS	2 × one-sided exact P
CD3 tumour	350	197	715	341	145	440	0.4088
CD3 peritumour	1166	894	1758	1140	1108	1550	0.7605
CD3 intra-epithelial	384	157	1004	51	22	118	<0.0001*
CD3 intratumour	195	87	456	616	453	728	<0.0001*
CD4 tumour	27	8	62	29	8	68	1.000
CD4 peritumour	228	138	382	221	136	283	0.5517
CD4 intra-epithelial	19	4	35	2.5	0	12	0.0111*
CD4 intratumour	35	11	94	45	15	126	0.7098
CD8 tumour	227	115	566	98	52	140	0.0002*
CD8 peritumour	663	512	879	329	231	417	<0.0001*
CD8 intra-epithelial	267	121	651	59	21	88	<0.0001*
CD8 intratumour	126	93	243	130	85	180	0.5452
CD20 tumour	8	4	39	13	5	27	0.6308
CD20 peritumour	307	160	590	167	100	635	0.0738
CD20 intra-epithelial	4	0	45	0	0	1	0.0006*
CD20 intratumour	8	4	31	25	10	53	0.0424*
CD68 tumour	132	80	213	194	143	321	0.0503
CD68 peritumour	287	203	450	584	302	953	0.0010*
CD68 intra-epithelial	51	11	152	20	10	29	0.0057*
CD68 intratumour	159	120	302	356	251	611	0.0009*

Abbreviations: HPF=high-power fields; MSI=microsatellite instability; MSS=microsatellite stable.

*P<0.05.

Table 5

Klintrup–Makinen score for the tumour area and invasion front with respect to MSI status

	MSI—tumour	MSI—invasive margin	MSS—tumour	MSS—invasive margin
Score 0	2	5	0	0
Score 1	9	16	13	23
Score 2	9	6	12	3
Score 3	9	2	2	1

Abbreviations: MSI=microsatellite instability; MSS=microsatellite stable.

Angiogenesis

Microsatellite unstable tumours presented with higher densities of microvessels in comparison to MSS cancers (P=0.026). The median number of blood vessels in MSI cases equals to 7.27 vessels per mm2 with a range from 3.1 to 20.0 vessels per mm2, while MSS tumours presented with a median of 5.98 vessels per mm2 and a range from 2.8 to 16.1 microvessels per mm2 (Figure 4, Table 6). PNAd immunostains demonstrated that no high endothelial venules were present in CRC, neither in MSI or in MSS tumours.

Figure 4

Higher microvessel density was observed in MSI compared with MSS tumours. The horizontal bars in the data distribution indicate medians.

Table 6

Bloodvessel count, measurements of tumour area and microvessel density

	Average area in mm2 (min–max)	Average blood vessel count (BVC) (min–max)	Average microvessel density (in BVC mm−2) (min–max)
MSI	182.3 (79.7–421.0)	1502.3 (408–2812)	8.5 (3.1–20.0)
MSS	142.4 (55.6–304.8)	959.3 (294.0–2053)	7.1 (2.8–16.1)

Abbreviations: MSI=microsatellite instability; MSS=microsatellite stable.

Discussion

In the present study, we demonstrated that there are major differences between MSI and MSS colorectal tumours that present on the morphological, inflammatory and the angionenic level. Similar to other series, we found that MSI tumours tend to occur in patients of a slightly younger age, with preponderance of the right colon (Sinicrope ; Jass, 2007). Previous studies emphasised that MSI tumours show a reduced likelihood towards metastasis in regional lymph nodes and distant organs, resulting in an improved overall and disease-free survival (Gryfe ). In this study, we could not validate these findings as our samples were chosen to match for TNM criteria.

Regarding morphology, tumour heterogeneity or polyclonality is the most striking feature that distinguishes MSI from MSS CRCs in our series. More than 50% of the MSI tumours presented with a combination of two or more morphological patterns such as glandular, mucinous and/or solid, while this was only the case in 11% of the MSS tumours. In addition, half of the heterogeneous MSI tumours presented with affected lymph nodes, and it was evident that the heterogeneity of the primary tumour was reflected in the lymph node metastasis as heterogeneous lymph node metastasis were observed in the majority (62%) of the heterogeneous primary tumours. The higher incidence of morphological heterogeneity in MSI compared with MSS tumours may be explained by the mutator phenotype of MSI tumours, resulting in several molecular clones with possible distinct morphological features, a hypothesis that remains to be verified. This observed heterogeneity in MSI tumours may affect both diagnosis and therapeutic approach in daily clinical practise. On the diagnostic level, presence of morphological heterogeneity in a CRC biopsy may be suggestive of MSI and should therefore warrant the pathologist for further MSI testing. On the therapeutic level, it is plausible and even highly likely that distinct morphological components present with a distinct molecular background and that those different morphological clones present with different genetic footprints that form the base these days of individualised therapy. Therefore new studies should investigate whether individual morphological components in one tumour present with distinct mutational landscapes and distinct gene expression profiles. Our observations confirm the new concept that it is outdated to consider tumours as one homogeneous biological event and that it is increasingly important for diagnostic, therapeutic and prognostic approaches to recognise that tumours are composed of a combination of distinct tumour types. Therefore, all tumour components should be investigated individually to overcome inaccuracies due to the heterogeneous nature of the tumour (Gerlinger ; Bedard ; Burrell ).

Furthermore, on the morphologic level, we also found that MSI tumours tend to be more poorly differentiated in comparison to their TNM-matched, MSS counterparts in concordance with known literature. The poorly differentiated display of MSI tumours stems from the fact that MSI tumours often present with mucinous or solid morphology while both morphological patterns are uncommon features in MSS tumours. However, contrary to other studies, no differences in fibrotic and Crohn's-like reaction were observed in our study, indicating that these features are not suitable parameters for the recognition of MSI (Alexander ; Buckowitz ).

Regarding the inflammatory tumour response, two quantification methods were assessed to analyse and quantify the immune infiltration: digital and traditional microscope-based analysis. Results obtained from both methods were in high accordance as they both showed significant higher levels of cytotoxic T-cells in the tumour and peritumoural region of MSI compared with MSS tumours. This inflammatory pattern may explain the better prognosis for MSI tumours as cytotoxic T-cells supress micrometastasis. (Naito ; Guidoboni ; Prall ; Laghi ; Roxburgh ; Ling ). Furthermore, traditional microscope-based analysis revealed increased intra-epithelial infiltration in MSI tumours for all immune cell markers tested, indicating that an interaction between specific MSI-related tumour features and T-cell receptor repertoire allow for lymphocyte invasion into the neoplastic glands and not just the neoplastic stroma. Some advantages of traditional microscope-based quantification are the fact that it is able to distinguish intratumoural- and intra-epithelial-infiltrating immune cells, providing a bulk of extra information. Furthermore, the human eye used in traditional quantification is able to distinct background from authentic positivity, making it possible to quantify tumour-infiltrating macrophages. Disadvantages of the latter method are the fact that it is more prone to inter-observer variability and more time consuming. On the contrary, the advantages of digital quantification are the rather short time frame and objectiveness of counting. Downsides of this technology are difficulties in distinguishing positivity from background signal and the fact that it is not yet possible to subdivide the tumour area into an intra-epithelial and intratumoural compartment without extensive manual interventions or the help of an additional and specific epithelial marker.

In addition to the quantification, analysis of the immune infiltrate shows that lymphocytic infiltration is heterogeneously spread within one tumour. Both the density of lymphocytic infiltration and the compartment the immune cells reside in (intra-epithelial or intratumoural) depend on and highly correlate with the morphological features of the tumour, hence emphasising once more that tumours should be studied and analysed on the clonal level (and that morphological analysis can guide this process) (Figure 1). Mucinous MSI and MSS tumours show barely no lymphocytic infiltration compared with glandular and solid tumours. BRAF mutational status nor Lynch syndrome affected the immune infiltration. In the future, it would be of great interest to investigate these difference in T-cell receptor repertoire for immune cells residing in the intra-epithelial and intratumour compartment individually with respect to morphology to unravel why lymphocytes migrate into the neoplastic glands in MSI tumours.

The Klintrup–Makinen score, which determines the amount of lymphocytes, neutrophilic and eosinophilic granulocytes in the tumour and invasive margin on an H&E section, could not validate the observations from the digital and traditional microscope-based immunoscores. This can be explained by the fact that the Klintrup–Makinen score takes into account the amount of neutrophilic and eosinophilic granulocytes, while this was not the case in our scoring system.

Finally, besides morphological and inflammatory characteristics, the angiogenic features were also compared for MSI and MSS CRCs as angiogenesis can be a favourable or detrimental factor for cancer progression. In our series, MSI tumours showed a significant higher blood vessel density compared with MSS. In an attempt to elucidate the function of the blood vessels in MSI tumours, we performed immunohistochemistry for PNAd, a marker for high endothelial venules (HEV). HEV are composed of plumb cuboidal endothelial cells and are mainly located in secondary lymphoid organs. Their main function is to enable lymphocyte extravasation. Previous reports showed the presence of HEV in solid tumours, including CRC (Martinet ). These findings were not validated in our cohort as no HEV were observed in MSI nor MSS tumours. The difference in MVD between MSI and MSS is striking, and it should be investigated whether this has a therapeutic impact in patients treated with antiangiogenic therapy.

In conclusion, we can state that morphological heterogeneity is an important feature of MSI tumours that may reflect the underlying molecular heterogeneity of the tumour, thereby impacting both diagnostic and therapeutic procedures. Additionally, the inflammatory reaction in MSI tumours is also heterogeneous and clone dependent, with a massive amount of (peri)tumour-infiltrating cytotoxic T-lymphocytes, while their number is considerably lower in MSS tumours. Furthermore, immune cells have a higher capacity to migrate into the intra-epithelial compartment in MSI tumours that can depend on the interaction of specific tumour characteristics with the T-cell receptor repertoire. Finally, MSI tumours have a higher neo-angiogenic capacity represented by the increased MVD in MSI compared with MSS cancers but whether this may represent a therapeutic target remains to be investigated.