Literature DB >> 29615840

Biomarker expression in rectal cancer tissue before and after neoadjuvant therapy.

Leonora Sf Boogerd1, Maxime Jm van der Valk1, Martin C Boonstra1, Hendrica Ajm Prevoo1, Denise E Hilling1, Cornelis Jh van de Velde1, Cornelis Fm Sier1, Arantza Fariña Sarasqueta2, Alexander L Vahrmeijer1.   

Abstract

PURPOSE: Intraoperative identification of rectal cancer (RC) can be challenging, especially because of fibrosis after treatment with preoperative chemo- and radiotherapy (CRT). Tumor-targeted fluorescence imaging can enhance the contrast between tumor and normal tissue during surgery. Promising targets for RC imaging are carcinoembryonic antigen (CEA), epithelial cell adhesion molecule (EpCAM) and the tyrosine-kinase receptor Met (c-Met). The effect of CRT on their expression determines their applicability for imaging. Therefore, we investigated whether CRT modifies expression patterns in tumors, lymph node (LN) metastases and adjacent normal rectal tissues. PATIENTS AND METHODS: Preoperative biopsies, primary tumor specimens and metastatic LNs were collected from 38 RC patients who did not receive CRT (cohort 1) and 34 patients who did (cohort 2). CEA, EpCAM and c-Met expression was determined using immunohistochemical staining and was semiquantified by a total immunostaining score (TIS), consisting of the percentage and intensity of stained tumor cells (0-12).
RESULTS: In both cohorts CEA, EpCAM and c-Met were significantly highly expressed in >60% of tumor tissues compared with adjacent normal epithelium (T/N ratio, P<0.01). EpCAM showed the most homogenous expression in tumors, whereas CEA showed the highest T/N ratio. Most importantly, CEA and EpCAM expression did not significantly change in normal or neoplastic RC tissue after CRT, whereas levels of c-Met changed (P=0.02). Tissues of eight patients with a pathological complete response after CRT showed expression of all biomarkers with TIS close to normal epithelium.
CONCLUSION: Histological evaluation shows that CEA, EpCAM and c-Met are suitable targets for RC imaging, because all three are significantly enhanced in cancer tissue from primary tumors or LN metastases compared with normal adjacent tissue. Furthermore, the expression of CEA and EpCAM is not significantly changed after CRT. These data underscore the applicability of c-Met and especially, CEA and EpCAM as targets for image-guided RC surgery, both before and after CRT.

Entities:  

Keywords:  CEA; EpCAM; c-Met; imaging; preoperative chemo- and radiotherapy; tumor markers

Year:  2018        PMID: 29615840      PMCID: PMC5870658          DOI: 10.2147/OTT.S145473

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Background

The cornerstone of rectal cancer (RC) treatment is surgical resection, performed via total mesorectal excision.1 Completeness of the surgical resection is pivotal for the prognosis of RC patients. A positive circumferential resection margin is associated with a high rate of local and distant recurrences, high morbidity and mortality.2,3 The introduction of neoadjuvant chemo- and radiotherapy (CRT) led to a significant decrease in the rate of irradical resections.4 Still, a recent meta-analysis reported a positive resection margin rate of 14.7% after abdominoperineal excision and 27% after pelvic exenteration,5 stressing the need for novel diagnostic imaging tools that can enhance contrast between cancer and adjacent normal/fibrotic tissue during surgery. An imaging modality that can fulfill this need is tumor-targeted fluorescence imaging.6 This innovative technique can provide real-time intraoperative tumor visualization by selectively highlighting tumor cells. Selection of tumor targets for imaging purposes depends on various characteristics including the expression pattern, localization of the biomarker in the cell and the tumor-to-normal (T/N) expression ratio.7,8 Prerequisite is a low or absent expression of a protein in normal tissue in combination with enhanced expression in cancer lesions. Promising targets for detection of RC are carcinoembryonic antigen (CEA), epithelial cell adhesion molecule (EpCAM) and the tyrosine-kinase receptor c-Met.9–11 The glycoprotein CEA is overexpressed in the vast majority of colorectal cancer (CRC) and has already been used for therapeutic and imaging purposes.12,13 Recently, an early phase clinical trial has been initiated utilizing a CEA-targeted fluorescent tracer for intraoperative detection of CRC.32 EpCAM is a trans-membrane glycoprotein, involved in cell–cell interactions and cell–stroma adhesion, and is overexpressed in nearly all epithelial malignancies.14 The recognition of EpCAM as one of the most promising pluripotent tumor markers has resulted in (pre)clinical testing of several EpCAM-targeted agents.10,15,16 First-in-human studies with an EpCAM-specific fluorescent agent to visualize various tumors during surgery are planned to start soon in our institution. c-Met, the receptor of hepatocyte growth factor (HGF), is involved in tumor cell proliferation and invasion, and its enhanced expression is associated with a poorer survival.17 The upregulation of c-Met in (pre)malignant colorectal lesions supported the successful clinical testing of a c-Met targeted fluorescent peptide, ie, GE-137, for better endoscopic detection of colorectal adenomas.11,18 Although several studies showed overexpression of CEA, EpCAM and c-Met in CRC tissues,18–20 the effect of CRT on protein expression is still unknown. This issue is however important for the reliable applicability of CEA-, EpCAM- and c-Met-targeted fluorescent contrast agents for RC imaging, as the majority of RC patients receive neoadjuvant CRT. In addition, this knowledge can be utilized for application of CEA-, EpCAM or c-Met-targeted tracers for other imaging purposes, such as positron emission tomography- or single-photon emission computed tomography imaging. The aim of this study was to investigate whether CRT modifies expression of CEA, EpCAM and c-Met in RC tissues and in adjacent normal epithelium. Therefore, we first studied the concordance in protein expression between diagnostic biopsies and tissues from primary resected adenocarcinomas and lymph node (LN) metastases of patients who did not receive neoadjuvant CRT, in order to establish that there are no significant differences between biomarker levels. Subsequently, the effect of CRT was studied in an additional cohort by correlating CEA, EpCAM and c-Met expression between biopsies, obtained prior to the start of CRT, versus primary tumors and metastatic LNs.

Patients and methods

Tissue samples

Formalin-fixed paraffin-embedded (FFPE) tissue blocks from 72 patients, who underwent surgical resection of RC or polypectomy between 2000 and 2015, were obtained from the Pathology Department of the Leiden University Medical Center (LUMC, Leiden, the Netherlands) (Table 1). Medical records and pathology samples were retrospectively reviewed. Patients were divided into two cohorts based on their therapy: cohort 1 was defined by patients without neo-adjuvant CRT whereas cohort 2 comprised the neoadjuvantly treated patients (Figure 1). CRT consisted of a combination of chemo- and radiotherapy, eg, 25×2 Gray and Capecitabine with/without Avastin or 5×5 Gray with Capecitabine plus Oxaliplatin (RAPIDO study design).21 Available FFPE tissue blocks of diagnostic biopsy specimens, tumor resection material and metastatic LNs were collected. All biopsies from patients treated with neoadjuvant CRT were obtained via endoscopic procedures, prior to the start of CRT. Multiple biopsy specimens of individual patients were incorporated on one slide. Eight patients showed a pathological complete response (pCR) after CRT. These tissues were also included in the study to assess the expression of biomarkers on normal/fibrotic epithelium. All samples were nonidentifiable and used in accordance with the code for proper secondary use of human tissue as prescribed by the Dutch Federation of Medical Scientific Societies, which does not require informed consent. The use of archived human tissue conformed to an informed protocol that had been reviewed and approved by the institutional review board of the LUMC.
Table 1

Patient and tumor characteristics

No CRT(n=38)CRT(n=34)
Age at diagnosis, median years (range)67 (36–87)64 (26–76)
Gender, n
 Male2521
 Female1313
Previous radiotherapy in area of rectum, n32
Type of surgery performed
 Low anterior resection3230
 Abdominoperineal resection414
 Subtotal colectomy10
 Polypectomy10
Tumor size, median mm (range)35 (5–120)25 (1–70)
Primary tumor stage, n
 pT008
 pT152
 pT21310
 pT31711
 pT433
Nodal stage, n
 pN02424
 pN186
 pN264
Metastatic stage, n
 pM03232
 pM162
Pathological response, n
 NoneNA9
 PartialNA17
 CompleteNA8

Abbreviations: CRT, chemo- and radiotherapy; n, number of patients; NA, not applicable; p, pathological.

Figure 1

Overview of included tumor tissues.

Notes: Described are the number of included specimens derived from patients who did not receive neoadjuvant CRT (cohort 1, n=38) and patients who did (cohort 2, n=34). In the primary tumor specimens, expression of biomarkers on normal epithelium was assessed when applicable. Biopsies were endoscopically obtained, prior to CRT (cohort 2). In cohort 1, 36 tumor sets were included consisting of biopsy material and primary resection specimens. Of these 36 patients, 10 tissues of LN metastases were included. In cohort 2, 31 sets were included consisting of biopsy material and primary resection specimens, including seven with LN metastases. One patient with a LN metastasis had a pCR. Two LN metastases could only be correlated with expression in primary resection specimens, because biopsy material of these patients was lacking.

Abbreviations: CRT, chemo- and radiotherapy; pCR, pathological complete response; LN, lymph node.

Immunohistochemistry (IHC)

Based on hematoxylin–eosin-stained slides, a representative FFPE tissue block containing tumor and normal tissue from each patient was chosen by a board-certified pathologist (A.F.S.). After sectioning the FFPE blocks in 4 µm slides, these were mounted on adhesive slides (Starfrost), deparaffinized using xylene and rehydrated in decreasing concentrations of ethanol. Subsequently, slides were rinsed with distilled (DI) water and endogenous peroxidase was blocked with 0.3% hydrogen peroxidase (Merck Millipore) for 20 minutes. Slides were rinsed with DI water and antigen retrieval was performed in the DAKO PT LINK, Target Retrieval Solution pH 6.0 at 95°C for 10 minutes. After rinsing with phosphate buffered saline, slides were stained with predetermined dilutions using monoclonal antibodies (mAb) against CEACAM5 (clone CI-P83-1, SC-23928 from Santa Cruz Biotechnology, 0.2 µg/mL, dilution 1:2,500), EpCAM (clone MOC-31, Acris Antibodies, dilution 1:10,000) and a polyclonal antibody against c-Met (polyclonal rabbit, Santa Cruz SC-10, 1 µg/mL, dilution 1:100). After overnight incubation with the primary antibodies, slides were incubated with the secondary antibody (EnVision antimouse horseradish peroxidase [DAKO]) for 30 minutes, followed by diaminobenzidine solution (DAB+; DAKO Kit). All slides were counterstained with hematoxylin, dehydrated and finally mounted with pertex.

Scoring method

All tumor tissues, metastatic LNs, normal appearing mucosae and fibrotic rectal tissues from patients who had a pCR after CRT were scored for expression of CEA, EpCAM and c-Met. The total immunostaining score (TIS) was calculated by multiplying the proportion score (PS) and intensity score (IS), as previously described.20 The PS represented the percentage of positively stained tumor cells and ranged between 0 and 4 (0= none; 1,10%; 2=10%–50%; 3=51%–80%; 4.80%). The IS represented the intensity of the stained tumor cells and could range between 0 and 3 (0= no staining; 1= weak; 2= moderate; 3= strong). Subgroups were defined based on the calculated TIS: 0, no expression; 1–4, weak expression; 6–8, moderate expression; 9–12, intense expression. Homogeneous expression was defined when >80% of tumor cells, with a staining intensity of ≥1, showed expression of one of the biomarkers (PS =4). Evaluation of the IHC staining was performed independently by two observers (A.F.S. and L.B.). All the sections with interobserver disagreement were discussed with a board certified pathologist until agreement was reached.

Statistical analyses

Statistical analyses were performed using SPSS version 23.0 software (SPSS©; IBM Corporation, NY, USA) and GraphPad Prism 6 (GraphPad Software Inc., La Jolla, CA, USA). For each patient, biomarker expression on biopsies, resected primary tumors and metastatic LNs was compared using the Mann–Whitney test. Differences in expression levels between cohort 1 (no CRT) and cohort 2 (CRT) were calculated using the Wilcoxon rank test. This test was also used to calculate differences in expression levels between tumor and adjacent normal tissue per patient. Additionally, a Mann–Whitney test was performed to compare these analyses between patients of cohorts 1 and 2. A Kruskal–Wallis test was used to determine the differences in T/N ratio between all three biomarkers. In all tests, results were considered statistically significant at the level of P<0.05.

Results

Patient and tumor characteristics are summarized in Table 1. Briefly, 38 patients did not receive neoadjuvant CRT (cohort 1). Of these patients, available biopsy specimens (n=36), primary tumor specimens (n=38) and metastatic LNs (n=10) were collected (Figure 1). In cohort 2, 34 patients treated with neoadjuvant CRT were included. Available biopsy specimens (n=31), obtained prior to the start of CRT, primary tumor specimens (n=34) and metastatic LNs (n=7) were collected. Eight out of 34 patients had a pCR after neoadjuvant CRT.

CEA, EpCAM and c-Met expression

Representative examples of CEA, EpCAM and c-Met staining in tumor tissue derived from a patient from cohort 1 are shown in Figure 2. CEA was mainly expressed on the apical side of cancer cells, while EpCAM and c-Met showed a more circumferential, membranous staining. Moreover, lymphoid cells, histiocytes and necrotic areas were also stained positive for c-Met. Figure 3 shows similar representative stainings in a patient from cohort 2. All biomarkers showed some positivity in noncancerous mucin producing cells in neoadjuvantly treated tissues. CEA, EpCAM and c-Met expression scores of all tumor tissues are shown in Table 2. The median TIS of all biomarkers in all tumor tissues was 12. In cohort 1, homogenous expression of CEA, EpCAM and c-Met was found in respectively 28/38 (74%), 34/38 (89%) and 31/38 (82%) of the malignancies in resection material, which was significantly similar to the expression of CEA, EpCAM and c-Met in malignancies in resection material in cohort 2, found in respectively 19/26 (73%), 24/26 (92%) and 22/26 (85%) of samples.
Figure 2

Representative images of CEA, EpCAM and c-Met expression on RC tissues of a patient who was not treated with CRT. (A) Biopsy specimen (magnification ×5). All cancer cells show expression of all three biomarkers. (B) Primary tumor specimen (magnification ×5). The dotted arrow indicates normal epithelium and the other arrow indicates cancer tissue. A difference in intensity between tumor and normal tissue can be seen for all three biomarkers. This difference appears the highest for CEA, followed by EpCAM and c-Met. (C) Metastatic lymph node (magnification ×5). The arrow indicates the location of cancer cells, which are clearly visualized by EpCAM and CEA staining.

Abbreviations: HE, hematoxylin–eosin; CEA, carcinoembryonic antigen; EpCAM, epithelial cell adhesion molecule; c-Met, tyrosine-protein kinase Met; RC, rectal cancer; CRT, chemo- and radiotherapy.

Figure 3

Representative images of CEA, EpCAM and c-Met expression on RC tissues of a patient who was treated with neoadjuvant CRT. (A) Biopsy specimen (magnification ×5) obtained prior to the start of CRT, showing expression of all three biomarkers. (B) Primary tumor specimen (magnification ×5). The dotted arrow indicates normal epithelium and the other arrow indicates tumor tissue. A difference in intensity between tumor and normal tissue can be seen for all three biomarkers. This difference appears the highest for CEA. (C) Metastatic lymph node (magnification ×5). The arrow indicates the location of cancer cells, which are visualized by CEA, EpCAM and c-Met staining.

Abbreviations: HE, hematoxylin–eosin; CEA, carcinoembryonic antigen; EpCAM, epithelial cell adhesion molecule; c-Met, tyrosine-protein kinase Met; RC, rectal cancer; CRT, chemo- and radiotherapy.

Table 2

Total immunostaining scores of all stained tumor tissues, derived from patients who did not (−) and patients who did (+) receive neoadjuvant CRT

Total immunostaining score (TIS) on tumor tissue n (%)
Total (n) tissues (−/+)
CEANo expression(TIS =0)Weak expression(TIS =1–4)Moderate expression(TIS =6–8)Intense expression(TIS =9–12)
Biopsies (−/+)0 (0%)/1 (3%)3 (8%)/3 (3%)10 (28%)/6 (19%)23 (64%)/21 (68%)36/31
Primary tumor (−/+)1 (3%)/1 (4%)1 (3%)/1 (4%)6 (16%)/3 (12%)30 (79%)/21 (81%)38/26
LN metastases (−/+)0 (0%)/0 (0%)0 (0%)/1 (14%)0 (0%)/0 (0%)10 (100%)/6 (86%)10/7
EpCAM
Biopsies (−/+)0 (0%)/0 (0%)2 (6%)/1 (3%)13 (36%)/5 (16%)21 (58%)/25 (81%)36/31
Primary tumor (−/+)1 (3%)/0 (0%)1 (3%)/0 (0%)4 (11%)/1 (4%)32 (84%)/25 (96%)38/26
LN metastases (−/+)0 (0%)/0 (0%)0 (0%)/0 (0%)0 (0%)/0 (0%)10 (100%)/7 (100%)10/7
c-Met
Biopsies (−/+)0 (0%)/0 (0%)3 (8%)/0 (0%)10 (28%)/4 (13%)23 (64%)/27 (87%)36/31
Primary tumor (−/+)0 (0%)/0 (0%)4 (11%)/2 (8%)4 (11%)/8 (31%)30 (79%)/16 (61%)38/26
LN metastases (−/+)0 (0%)/1 (14%)1 (10%)/1 (14%)3 (30%)/0 (0%)6 (60%)/5 (71%)10/7

Abbreviations: CRT, chemo- and radiotherapy; CEA, carcinoembryonic antigen; LN, lymph node; EpCAM, epithelial cell adhesion molecule; c-Met, tyrosine-protein kinase Met.

Comparison between biomarker expression before and after CRT

The degree of concordance of CEA, EpCAM and c-Met expression between the various tumor tissues, ie, biopsy, tumor in resection material and metastatic LN, is shown in Table 3. In cohort 1, >61% of biopsies showed concordant expression with their corresponding resected tumor. The majority of discordant scores were due to a difference in intense vs moderate expression between the tumor tissues, ie, 10/14 (71%) discordant scores for CEA and EpCAM, and 6/7 (86%) discordant scores for c-Met. There was no significant difference in expression of any of the three biomarkers between endoscopically obtained biopsy specimens and resection specimens per individual patient (P=0.43 for CEA, P=0.10 for EpCAM and P=0.41 for c-Met). These data suggest that differences found between stainings in biopsies and resected material in cohort 2, are exclusively induced by CRT.
Table 3

Degree of concordance of biomarker expression between various tumor tissues per patient

No CRTCEAEpCAMc-Met
Biopsy = tumor22/36 (61%)22/36 (61%)28/36 (78%)
 Biopsy > tumor5/36 (14%)2/36 (6%)2/36 (6%)
 Biopsy < tumor9/36 (25%)12/36 (33%)6/36 (17%)
LN metastasis = tumor9/10 (90%)9/10 (90%)7/10 (70%)
 LN metastasis > tumor1/10 (10%)1/10 (10%)1/10 (10%)
 LN metastasis < tumor0/10 (0%)0/10 (0%)2/10 (10%)
CRT
Biopsy = tumor16/23 (70%)17/23 (74%)14/23 (61%)
 Biopsy > tumor2/23 (9%)1/23 (4%)1/23 (4%)
 Biopsy < tumor5/23 (22%)5/23 (22%)8/23 (35%)
LN metastasis = tumor6/7 (86%)7/7 (100%)4/7 (57%)
 LN metastasis > tumor1/7 (14%)0/7 (0%)0/7 (0%)
 LN metastasis < tumor0/7 (0%)0/7 (0%)3/7 (43%)

Note: = Indicates a concordant expression between the two tissues, > indicates up regulation of expression, < indicates down regulation of expression.

Abbreviations: CRT, chemo- and radiotherapy; CEA, carcinoembryonic antigen; EpCAM, epithelial cell adhesion molecule; c-Met, tyrosine-protein kinase Met; LN, lymph node.

Also in cohort 2, the majority (>61%) of cases showed a concordant expression pattern when comparing biopsies and resection material, despite the fact that biopsies were obtained prior to the start of neoadjuvant CRT and primary tumors after CRT. The concordance between biopsies is shown in Table 2 and graphically displayed in Figure 4. No significant difference in CEA and EpCAM expression was found between the various tumor tissues per patient (P=0.52 for CEA, P=0.11 for EpCAM). However, c-Met expression appeared significantly different between biopsies and resected tumors (P=0.02). Again, most discordant expression scores between biopsies and primary tumors were due to minor differences in TIS between intense vs moderate; 4/7 (57%) disconcordant scores for CEA, 5/6 (83%) for EpCAM and 7/9 (78%) for c-Met. Finally, when comparing all tumor tissues from patients who did not receive CRT with patients who did, no significant differences were found between expression in primary tumors and between expression in metastatic LNs (all P-values >0.05). CEA, EpCAM and c-Met expression did not significantly differ between tumor tissues that showed no response after CRT and tissues that showed a partial pathological response.
Figure 4

Difference in expression of CEA, EpCAM and c-Met between biopsies, obtained prior to the start of CRT, and primary tumors.

Notes: A horizontal line indicates the same level of expression between biopsy and primary tumor. For all biomarkers, the majority of tissues showed an intense expression (TIS of 12) in biopsies and corresponding primary tumor. The number of biopsy and tumor tissues with a certain expression score (TIS) are indicated next to the corresponding line.

Abbreviations: TIS, total immunostaining score; CEA, carcinoembryonic antigen; EpCAM, epithelial cell adhesion molecule; c-Met, tyrosine-protein kinase Met.

Comparison of biomarker expression between carcinoma and adjacent normal tissue

Figure 5 shows the distribution of CEA, EpCAM and c-Met TIS in tumor tissues compared with normal adjacent epithelial tissues, from both cohorts of patient together. All three biomarkers were significantly upregulated in cancer tissue compared to normal tissue of the same patient (P<0.01 for CEA, EpCAM and c-Met). Median TIS expression in normal epithelium were respectively 4 (0–12) for CEA, 12 (0–12) for EpCAM and 8.5 (0–12) for c-Met. A significant difference between biomarkers was found using a Kruskal–Wallis test with the highest mean rank for CEA, followed by equal mean ranks for EpCAM and c-Met (P<0.01).
Figure 5

Tumor-to-normal tissue (T/N) ratio for CEA, EpCAM and c-Met on primary resected tumors.

Notes: Shown are correlations between tumor tissue and adjacent normal tissue in the same sample, per patient and per biomarker (both cohort 1 and cohort 2). All biomarkers were significantly upregulated in tumor tissue compared to adjacent normal epithelium. The T/N ratio was highest for CEA. The arrows indicate the number of tumor tissues that show an enhanced or decreased expression compared to adjacent normal epithelium; = refers to equal expression scores.

Abbreviations: TIS, total immunostaining score; CEA, carcinoembryonic antigen; EpCAM, epithelial cell adhesion molecule; c-Met, tyrosine-protein kinase Met.

Expression on tissue with complete pathological response

Median biomarker expression scores (TIS) in the tumor bed of resected tissue from patients with a pCR after neoadjuvant CRT were respectively 5 (1–12) for CEA, 10.5 (4–12) for EpCAM and 8.5 (4–12) for c-Met. CEA expression was seen on the surface of normal epithelium and similarly EpCAM and c-Met, in mucin producing cells. The muscularis propria showed some expression of c-Met (probably nonspecific binding).

Discussion

Tumor-targeted fluorescence imaging has the potential to revolutionize the current practice of oncologic surgery by selectively highlighting neoplastic cells. This technique may be particularly useful during RC surgery, as clear tumor visualization is sometimes impaired by anatomic constrains such as a narrow pelvis. The present data confirm the results of previous studies that expression of the studied biomarkers CEA, EpCAM and c-Met is increased in tumor tissue as compared with normal mucosa from the same patient, and hence in principle could be used as targets for image-guided assistance during surgery. However, a substantial part of RC patients are nowadays treated with neoadjuvant CRT to induce down staging and to achieve local control.22 Although the addition of CRT leads to a decrease in recurrence rates, it also causes massive tissue fibrosis which in turn hinders intraoperative tumor localization.23 The data presented here demonstrate that the expression of CEA and EpCAM does not significantly differ between endoscopically obtained diagnostic biopsies, resected primary tumors and LN metastases, in patients treated with or without neoadjuvant CRT. These results demonstrate the usability of these biomarkers for RC imaging. Expression of c-Met differed significantly between biopsies and resected tumors in cohort 2, which might reflect an effect of the CRT on protein expression, but could also be the result of a small sample size. In the current study, we showed that all three proteins are abundantly expressed in the vast majority of RC tissues, confirming previous studies with larger cohorts.18–20 Although IHC is not a fully quantitative technique, and results might depend on the selected antibodies and tissue fixation, the representative figures show that CEA and EpCAM seem to outperform c-Met with respect to staining intensity in tumors. Unlike CEA and EpCAM, which are involved in cell adhesion, c-Met is a tyrosine kinase receptor that becomes activated after binding of the HGF. Due to the pivotal role of c-Met in cancer biology and overexpression in several cancer types, it is regarded as a promising target for molecular tumor imaging, including colorectal neoplasia.11,24 Still, the numbers of this receptor per tumor cell might be lower compared to adhesion molecules like CEA and EpCAM, as reflected in the expression scores within this study.8 A prerequisite for appropriate tumor targets in image-guided surgery is enhanced expression on tumor cells compared to adjacent normal tissue.7 CEA and EpCAM are cell adhesion molecules and both are moderately expressed on normal cylindrical epithelium and goblet cells.25,26 Although EpCAM showed the highest amount of homogenous tumor expression among all three biomarkers, the difference in the TIS between tumor and normal tissue was relatively low. This could seem a disadvantage for EpCAM as a target. However, while analyzing these data, one should take the limitations of IHC scorings into consideration during quantification of protein expression. For instance, a difference between 10,000 EpCAM molecules on a regular cell and 400,000 on a neoplastic cells would probably not be noticed by conventional IHC, but would be enough to discriminate tumor from normal tissue using fluorescence imaging. On the other hand, CEA has the disadvantage of being anchored to the cell membrane via a GPI-anchor, making it vulnerable for shedding in the bloodstream.8 As a result, high levels of soluble CEA could scavenge the intravenously administered targeting agent, which is a disadvantage for CEA-based imaging. Our group has previously described the preclinical evaluation of a fluorescent labeled EpCAM-specific mAb and a CEA-specific single-chain antibody fragment, respectively and showed successful fluorescent delineation of several tumor models, including CRC and peritonitis carcinomatosis.9,10 As already indicated in the previous paragraph, preclinical models can only partly mimic the human situation. The most important factor that influences the tumor-to-background ratio during clinical application of tumor-targeted agents will be the presence of the targeted receptor on adjacent normal cells. Both EpCAM and CEA expression are described to be confined to the basolateral surface of normal polarized epithelial cells, where these receptors might be less accessible for targeting by intravenous administered agents.26–28 When epithelial cells dedifferentiate into tumor cells, polarity is lost and CEA and EpCAM become expressed throughout the entire membrane. This phenomenon would be advantageous for tumor imaging. Especially for normal enterocytes, with a lifespan of 1–2 days, the continuous shedding of these cells into the bowel lumen would result in relatively low background fluorescence in normal mucosa, especially when imaging occurs a few days after tracer administration. The main drawbacks of this study are the relatively low numbers of tissue sets and the use of semiquantitative IHC. The collection of tumor tissue before and after CRT implies that both endoscopic diagnostic biopsy material and resection material of the same patient are available at the same institution. Our hospital is a reference hospital for some regional hospitals and therefore many of the diagnostic biopsies are taken elsewhere. Collecting the material is tedious and time consuming. Our approach of studying two cohorts of patients showed that the differences of expression of the three selected biomarkers before and after CRT were limited. IHC is relatively easy to perform, available at low costs compared to other diagnostic techniques, and provides information about the expression patterns of certain proteins in various cell types, which is pivotal information for imaging purposes. Although it is routinely used nowadays, IHC in most cases lacks standardization (pretest variability) and variance in interpretation of the staining (post-test variability).20 To minimize these limitations, we performed IHC staining with validated antibodies and used a scoring method that was previously evaluated.20 Nevertheless, differences in expression could be observed by using various antibodies against the same target. Especially for c-Met, the use of a polyclonal antibody might be difficult in comparison with other studies. A promising application of CEA, EpCAM or c-Met-targeted fluorescent agents might be the implementation during (endoscopic) surveillance of patients eligible for the Watch-and-Wait strategy (W…W), or during transanal endoscopic microsurgery (TEM).29,30 Over the last years, organ-preserving approaches for RC patients, such as the W…W strategy for patients with a complete clinical response (cCR) and TEM, are gaining interest.30 As recent studies show a local regrowth rate up to 38% in patients selected for W…W, it seems that conventional imaging modalities are not able to select patients sufficiently.31 Therefore, tumor-targeted fluorescence imaging during colonoscopies may assist in identification of a cCR, or residual tumor cells. This application would however only be valuable when markers are sensitive and specific enough to distinguish between normal tissue, fibrotic tissue and scattered tumor cells. In the eight tissues derived from patients with a pCR, all biomarkers showed some expression in the resected fibrotic tumor bed, but were considerably less in the tumors. Larger studies are needed to confirm these findings and assess the expression of these and other biomarkers in patients with a pCR, both for primary and recurrent RC patients.

Conclusion

This study shows that CEA, EpCAM and c-Met are abundantly expressed in RC and LN metastases, and that modifications of protein expression by CRT in tumor or adjacent normal tissue are limited. Homogenous expression in RC tissues of primary tumors and metastatic LNs was highest for EpCAM. But, based on staining of normal adjacent epithelium, CEA appeared the most distinctive biomarker. The data of the present study underscore a reliable applicability of CEA-, EpCAM- and c-Met-targeted imaging agents, which have recently been or will soon be used in clinical practice. A firm conclusion about which biomarker has the highest potential cannot be drawn based only on IHC or on animal models. Only comparative clinical trials can answer this question.
  31 in total

1.  High Rate of Positive Circumferential Resection Margins Following Rectal Cancer Surgery: A Call to Action.

Authors:  Aaron S Rickles; David W Dietz; George J Chang; Steven D Wexner; Mariana E Berho; Feza H Remzi; Frederick L Greene; James W Fleshman; Maher A Abbas; Walter Peters; Katia Noyes; John R T Monson; Fergal J Fleming
Journal:  Ann Surg       Date:  2015-12       Impact factor: 12.969

2.  A new approach to rectal cancer.

Authors:  R J Heald
Journal:  Br J Hosp Med       Date:  1979-09

Review 3.  The carcinoembryonic antigen (CEA) family: structures, suggested functions and expression in normal and malignant tissues.

Authors:  S Hammarström
Journal:  Semin Cancer Biol       Date:  1999-04       Impact factor: 15.707

4.  Repeated adjuvant anti-CEA radioimmunotherapy after resection of colorectal liver metastases: Safety, feasibility, and long-term efficacy results of a prospective phase 2 study.

Authors:  Carsten-O Sahlmann; Kia Homayounfar; Martin Niessner; Jerzy Dyczkowski; Lena-Christin Conradi; Friederike Braulke; Birgit Meller; Tim Beißbarth; B Michael Ghadimi; Johannes Meller; David M Goldenberg; Torsten Liersch
Journal:  Cancer       Date:  2016-10-20       Impact factor: 6.860

5.  Clinical validity of tissue carcinoembryonic antigen expression as ancillary to serum carcinoembryonic antigen concentration in patients curatively resected for colorectal cancer.

Authors:  J W Park; H J Chang; B C Kim; H Y Yeo; D Y Kim
Journal:  Colorectal Dis       Date:  2013-09       Impact factor: 3.788

6.  The TME trial after a median follow-up of 6 years: increased local control but no survival benefit in irradiated patients with resectable rectal carcinoma.

Authors:  Koen C M J Peeters; Corrie A M Marijnen; Iris D Nagtegaal; Elma Klein Kranenbarg; Hein Putter; Theo Wiggers; Harm Rutten; Lars Pahlman; Bengt Glimelius; Jan Willem Leer; Cornelis J H van de Velde
Journal:  Ann Surg       Date:  2007-11       Impact factor: 12.969

7.  Overexpression and amplification of the met/HGF receptor gene during the progression of colorectal cancer.

Authors:  M F Di Renzo; M Olivero; A Giacomini; H Porte; E Chastre; L Mirossay; B Nordlinger; S Bretti; S Bottardi; S Giordano
Journal:  Clin Cancer Res       Date:  1995-02       Impact factor: 12.531

8.  EURECCA colorectal: multidisciplinary management: European consensus conference colon & rectum.

Authors:  Cornelis J H van de Velde; Petra G Boelens; Josep M Borras; Jan-Willem Coebergh; Andres Cervantes; Lennart Blomqvist; Regina G H Beets-Tan; Colette B M van den Broek; Gina Brown; Eric Van Cutsem; Eloy Espin; Karin Haustermans; Bengt Glimelius; Lene H Iversen; J Han van Krieken; Corrie A M Marijnen; Geoffrey Henning; Jola Gore-Booth; Elisa Meldolesi; Pawel Mroczkowski; Iris Nagtegaal; Peter Naredi; Hector Ortiz; Lars Påhlman; Philip Quirke; Claus Rödel; Arnaud Roth; Harm Rutten; Hans J Schmoll; Jason J Smith; Pieter J Tanis; Claire Taylor; Arne Wibe; Theo Wiggers; Maria A Gambacorta; Cynthia Aristei; Vincenzo Valentini
Journal:  Eur J Cancer       Date:  2013-10-31       Impact factor: 9.162

9.  Short-course radiotherapy followed by neo-adjuvant chemotherapy in locally advanced rectal cancer--the RAPIDO trial.

Authors:  Per J Nilsson; Boudewijn van Etten; Geke A P Hospers; Lars Påhlman; Cornelis J H van de Velde; Regina G H Beets-Tan; Lennart Blomqvist; Jannet C Beukema; Ellen Kapiteijn; Corrie A M Marijnen; Iris D Nagtegaal; Theo Wiggers; Bengt Glimelius
Journal:  BMC Cancer       Date:  2013-06-07       Impact factor: 4.430

10.  Carcinoembryonic antigen is the preferred biomarker for in vivo colorectal cancer targeting.

Authors:  J P Tiernan; S L Perry; E T Verghese; N P West; S Yeluri; D G Jayne; T A Hughes
Journal:  Br J Cancer       Date:  2013-01-15       Impact factor: 7.640

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  4 in total

1.  Multimodal CEA-targeted fluorescence and radioguided cytoreductive surgery for peritoneal metastases of colorectal origin.

Authors:  Jan Marie de Gooyer; Fortuné M K Elekonawo; Andreas J A Bremers; Otto C Boerman; Erik H J G Aarntzen; Philip R de Reuver; Iris D Nagtegaal; Mark Rijpkema; Johannes H W de Wilt
Journal:  Nat Commun       Date:  2022-05-12       Impact factor: 17.694

Review 2.  Fluorescent-guided surgery for sentinel lymph node detection in gastric cancer and carcinoembryonic antigen targeted fluorescent-guided surgery in colorectal and pancreatic cancer.

Authors:  Floris A Vuijk; Denise E Hilling; J Sven D Mieog; Alexander L Vahrmeijer
Journal:  J Surg Oncol       Date:  2018-09-14       Impact factor: 3.454

3.  CEA, EpCAM, αvβ6 and uPAR Expression in Rectal Cancer Patients with a Pathological Complete Response after Neoadjuvant Therapy.

Authors:  Daan Linders; Marion Deken; Maxime van der Valk; Willemieke Tummers; Shadhvi Bhairosingh; Dennis Schaap; Gesina van Lijnschoten; Elham Zonoobi; Peter Kuppen; Cornelis van de Velde; Alexander Vahrmeijer; Arantza Farina Sarasqueta; Cornelis Sier; Denise Hilling
Journal:  Diagnostics (Basel)       Date:  2021-03-14

4.  Improving anti-cancer drug delivery performance of magnetic mesoporous silica nanocarriers for more efficient colorectal cancer therapy.

Authors:  Sonia Iranpour; Ahmad Reza Bahrami; Sirous Nekooei; Amir Sh Saljooghi; Maryam M Matin
Journal:  J Nanobiotechnology       Date:  2021-10-12       Impact factor: 10.435

  4 in total

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