Literature DB >> 30073092

Growth patterns of colorectal cancer liver metastases and their impact on prognosis: a systematic review.

Carlos Fernández Moro1,2, Béla Bozóky2, Marco Gerling3,4.   

Abstract

BACKGROUND: Colorectal cancer liver metastases (CRLM) grow in distinct histological patterns that have been associated with outcome after surgical resection. We conducted a systematic review to evaluate the frequency of different CRLM growth patterns and their impact on prognosis.
METHODS: We searched Embase and MEDLINE databases from inception to 1 December 2017 to identify studies that reported CRLM growth pattern histopathology, their frequencies, and/or data related to outcome.
RESULTS: We included a total of 23 studies (2432 patients with CRLM) published between 1991 and 2017. There were variations in the terminology used to describe the growth patterns as well as in their histopathological definitions. A 'desmoplastic' pattern was most frequently considered, followed by 'pushing' and 'replacement' patterns. Data supported the presence of both intralesional and interlesional heterogeneity. There were no differences in growth pattern distribution stratified by chemotherapy. While heterogeneity of histopathology assessment precluded formal meta-analysis, the majority of articles found favourable outcomes for desmoplastic and unfavourable outcomes for replacement CRLM, independently of when the study was conducted.
CONCLUSIONS: The results suggest that CRLM growth patterns may have prognostic potential and that they may be considered for standardised routine histopathological reporting. Further understanding of the different growth patterns may provide important insights into the biological mechanisms that underlie metastatic growth in the liver.

Entities:  

Keywords:  colorectal cancer; colorectal metastases; hepatic metastases; histopathology

Year:  2018        PMID: 30073092      PMCID: PMC6067357          DOI: 10.1136/bmjgast-2018-000217

Source DB:  PubMed          Journal:  BMJ Open Gastroenterol        ISSN: 2054-4774


Introduction

Colorectal cancer (CRC) is one of the most frequent malignancies worldwide.1 Multimodal stage-dependent therapy combining surgery and chemoradiotherapy achieves good long-term survival in patients without distant metastases.2 However, approximately half of all patients with CRC develop metastases during the course of their disease, at which point survival rates drop markedly.3 The liver is the organ in which CRC metastases are most frequently found.4 In contrast to most other cancer types, surgical resections of colorectal cancer liver metastases (CRLM) are routinely performed.5 Unfortunately, despite advances in surgical techniques and neoadjuvant chemotherapy, the management of CRLM remains a formidable challenge, as evidenced by the generally poor long-term survival rates.6 In primary CRC, the presence of different histological growth patterns is well known: Jass et al described an ‘infiltrating’ pattern, in which cancer cells invade diffusely into surrounding tissue, in contrast to a ‘pushing’ or ‘expanding’ growth pattern, in which the tumour border is clearly demarcated.7 This assessment of the tumour border has been well established in diagnostic pathology,8 and may serve for prognostic stratification, as primary CRCs with a predominantly ‘pushing’ border are associated with a more favourable outcome.9 10 With the increasing frequency of CRLM resections, the histomorphology of the metastatic front in liver metastases has become routinely accessible and several different CRLM growth patterns have been described: a ‘desmoplastic’ or ‘encapsulated’ pattern, in which the tumour cells are separated from the liver parenchyma by a rim of fibrotic stroma, is distinguished from a ‘pushing’ or ‘expansive’ pattern, in which the liver plates adjacent to the metastases are flattened, while intervening fibrotic tissue is absent. A further pattern is termed ‘invasive’ or ‘replacement’; in this case, the tumour cells infiltrate along the liver cell plates, replace hepatocytes and co-opt the sinusoidal stromal scaffold.11 12 In addition, overlaps of these patterns have been observed.13 14 Several studies have suggested that these distinct growth patterns are associated with differences in tumour recurrence and overall survival (OS).14–16 However, cohorts were of limited size, terminology and histological criteria were heterogeneous, and the morphology of the CRLM tumour border is not routinely reported in clinical practice.17 Systematic work by an international multidisciplinary team has recently resulted in the first consensus guidelines for scoring CRLM growth patterns.18 In the suggested guidelines, the authors define three main growth patterns, desmoplastic, replacement, and pushing. By applying this classification to a validation cohort of 374 patients, they find superior survival in the group with predominantly desmoplastic growth pattern, compared with the replacement type. Their work highlights that it is possible to systematise CRLM growth patterns in a reproducible and clinically valuable way. From a tumour biology perspective, the modes of metastatic growth in the liver are of paramount interest. Recent studies have identified the local microenvironment as a major determinant of tumour aggressiveness in various cancer types including CRC.19–23 In each CRLM growth pattern, metastasised cancer cells interact in particular ways with different host cells such as hepatocytes, Ito cells, and endothelial cells, and are thus embedded in diverse biological microenvironments with hitherto unidentified impact on cancer cell behaviour. Hence, a deeper understanding of the different growth patterns holds potential for deciphering important mechanistic aspects of metastatic tumour progression. We conducted this systematic review of the literature on CRLM growth patterns to systematically analyse variations in their nomenclature and to evaluate their reported frequencies as well as their impact on patient survival. Finally, we highlight recent functional evidence on the mechanistic underpinnings of this important clinicopathological phenomenon.

Methods

Literature search and selection criteria

We performed a systematic search for published studies on growth patterns in CRLM as of 1 December 2017 in Embase and MEDLINE databases. The search strings (online supplementary figures 1 and 2) were designed to find articles on liver metastases from adenocarcinomas of the colon or rectum that included a histological evaluation of the tumour border and assessed the growth pattern. Additional searches were performed based on the lists of references in the eligible studies. Inclusion criteria for abstract review were defined as follows and judged independently by two reviewers (MG and CFM): (1) report on sporadic colon and/or rectum adenocarcinoma; (2) report on liver metastases; (3) histological assessment of the tumour border, either explicitly stated or implied (eg, by mentioning immunohistochemistry on CRLM sections); (4) species is human. Exclusion criteria were: (1) language other than English, Spanish, German or Swedish; (2) article is a case report; (3) article is a review. After independent evaluation, MG and CFM discussed those articles for which there was disagreement on their inclusion. If no agreement was reached, BB was consulted. This systematic review was not preregistered.

Data extraction

The full texts of potentially eligible articles were acquired by MG, assessed independently by and finally discussed between MG and CFM to reach agreement on their final inclusion. In the case of overlapping cohorts, the article with the largest sample size was included; if the exact same cohort was reported more than once (as identified by the number of patients, clinical institution, and dates of sample collection), the most recent publication was included. If CRLM growth patterns were assessed histologically, but not quantified, the corresponding author(s) were contacted by email and asked to share the following information: histopathological definition/growth pattern criteria, absolute frequencies, and available survival data. Requests were also made in cases of potential overlap of similar, but not identical, study cohorts (according to date, size, and reported data). If there was no reply within 1 week, an additional email was sent; in case of no response within a total of 2 weeks, the request was considered to have failed and the decision on inclusion was made jointly by CFM and MG; if no agreement could be reached, BB was consulted. Estimates of internal study validity were recorded using a modified version of the Quality Assessment of Diagnostic Accuracy Studies criteria.24 Based on these data, Risk of Bias was assessed using an adapted version of the Cochrane Collaboration’s tool for assessing Risk of Bias25; ‘performance bias’ and ‘allocation bias’ were not assessed as the analysed studies were non-interventional.

Data handling

GraphPad Prism (V.6.0g) was used for data analysis. For word clustering, growth pattern terminology was extracted from all eligible studies and groups of terms were inferred by the descriptions of the histological patterns (eg, in a study where the term ‘sinusoidal’ was used to describe a pattern in which tumour cells replace hepatocytes, this was considered to represent the ‘replacement’ pattern). The absolute frequency of each term was calculated and the terms were displayed in a word clustering diagram with a proportional font size.

Results

Figure 1 shows the study flow diagram according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria.26 The search strategy identified a total of 2473 articles, of which 2368 were excluded after abstract review. Full texts were acquired for 105 articles and after full text review, 23 studies reporting data on a total of 2432 patients were considered eligible.11–14 18 27–44 Table 1 presents the eligible studies included for systematic review and the clinicopathological characteristics of the cohorts; online supplementary figure 3 presents data on the risk of bias.
Figure 1

Study flow diagram according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. One study15was included specifically for outcome data, as it reported the outcome for a cohort published in a more recent article13; this study was excluded due to overlapping cohort from the main series. Another study27 included two independent patient cohorts that were reported separately; this study is counted as one item.

Table 1

Overview of eligible studies included

StudyTitlePublication yearTime periodLocationMaleFemalePrimary in colonPrimary in rectumSynchronous CRLMMetachronous CRLMDesmoplastic CRLM (%)Pushing CRLM (%)Replacement CRLM (%)Mixed CRLM (%)Capsule independentOutcome assessedPreoperative chemo
van Dam et al 18 International consensus guidelines for scoring the histopathological growth patterns of liver metastasis 20172000–2015Department of Surgical Oncology, Erasmus MC Cancer Institute (Rotterdam, The Netherlands)241133204170243 (defined as <1 year)131493471, excluded from survival analysis; >50% predominance was considered sufficientNY≥44% of patients
Frentzas et al,27 London cohort Vessel co-option mediates resistance to anti-angiogenic therapy in liver metastases 20162006–2012The Royal Marsden Hospital (RM), London, UK21121221NANA52.51.745.8NANYAll bev+chemo
Frentzas et al,27 Montréal cohort Vessel co-option mediates resistance to anti-angiogenic therapy in liver metastases 20162008–2014McGill University Health Centre (MUHC), Montréal, Canada35243920NANA51.63.145.3NANYAll bev+chemo
Siriwardana et al 28 Biological and prognostic significance of the morphological types and vascular patterns in colorectal liver metastases (CRLM) looking beyond the tumor margin 20161998–2008Royal Free Hospital, London, UK18818671943.3NA43.310NYN
Serrablo et al 29 Impact of novel histopathological factors on the outcomes of liver surgery for colorectal cancer metastases 20162004–2010NA, Spain and/or ItalyNANANANANANA1752.346.3NAYYReported separately
Eefsen et al 13 Microvessel density and endothelial cell proliferation levels in colorectal liver metastases from patients given neo-adjuvant cytotoxic chemotherapy and bevacizumab 2015 (print 2016)2007–2011Rigshospitalet, Copenhagen, Denmark14691162751469129.537.114.818.6NN (for same cohort in ref 15)Reported separately
Brunner et al 30 Prognosis according to histochemical analysis of liver metastases removed at liver resection 20142004–2010Regensburg, Germany1188311982NANA37.8NANANANYReported separately
Pinheiro et al 31 Tumor growth pattern as predictor of colorectal liver metastasis recurrence 20142000–2009NA, likely Sao Paulo, Brazil5041NANA4348NA40.759.3NANYReported separately
Wiggans et al 32 Extended pathology reporting of resection specimens of colorectal liver metastases: the significance of a tumour pseudocapsule 2012 (print 2013)2010–2011Derriford Hospital, UK4026NANA382841.5NANANANYMixed
Nyström et al 33 Liver-metastatic potential of colorectal cancer is related to the stromal composition of the tumour 20121998–2009Västerbotten County, Sweden25232918NANA45.852.1NANANYMixed
Van Den Eynden et al 14 The histological growth pattern of colorectal cancer liver metastases has prognostic value 20121997–2005Royal Hallamshire Hospital, Sheffield, UKNANA104911019834.615.627.817.6NYNA
Rajaganeshan et al 34 Biological characteristics and behaviour of putatively curatively resected colorectal liver metastases 2007 (print 2008)1993–2004St James’s University Hospital, Leeds, UK6049NANA199034.8NANANANYUntreated group reported in ref 46
Stessels et al 35 Breast adenocarcinoma liver metastases, in contrast to colorectal cancer liver metastases, display a non-angiogenic growth pattern that preserves the stroma and lacks hypoxia 2004NAGeneral Hospital Sint-Augustinus and of the University Hospital of Antwerp, BelgiumNANANANANANA5017.932.1NANNNA
Terayama et al 36 Peritumoral rim enhancement of liver metastasis: hemodynamics observed on single-level dynamic CT during hepatic arteriography and histopathologic correlation 2002NAKanazawa University School of Medicine, Japan245NANANANA10.5NANANANNNA
Yamaguchi et al 37 Mode of infiltrative growth of colorectal liver metastases is a useful predictor of recurrence after hepatic resection 20021981–1998Nagasaki University School of Medicine, JapanNANANANANANANA38.161.9NANYNA
Vermeulen et al 12 Liver metastases from colorectal adenocarcinomas grow in three patterns with different angiogenesis and desmoplasia 2001NAUniversity Hospital Antwerp and AZ Sint-Augustinus, BelgiumNANANANANANA42.346.211.5NANNExcluded
Weber et al 38 Is a proliferation index of cancer cells a reliable prognostic factor after hepatectomy in patients with colorectal liver metastases? 20011988–1998Hôpital Universitaire de Hautepierre, Strasbourg, France13289142769013128.534.865.2NAYYNA
Lunevicius et al 39 Clinicopathological significance of fibrotic capsule formation around liver metastasis from colorectal cancer 20011983–1997Aichi Cancer Center, JapanNANANANANANA20.3NANANANYNA
Okano et al 40 Fibrous pseudocapsule of metastatic liver tumors from colorectal carcinoma: clinicopathologic study of 152 first resection cases 20001992–1996National Cancer Center Hospital, Tokyo, Japan10448NANA4610661.1NANANANYNA
Ambiru et al 41 Hepatic resection for colorectal metastases: analysis of prognostic factors 19991984–1997Chiba University School of Medicine, Japan1046210953719127.9NANANANYNA
Nagashima et al 11 Histopathological prognostic factors influencing long-term prognosis after surgical resection for hepatic metastases from colorectal cancer 19991981–1994Tokyo University Hospital, Japan4811NANA24358091.58.5NAYYNA
Terayama et al 42 Histologic growth patterns of metastatic carcinomas of the liver 1996NAKanazawa University School of Medicine, Japan6713NANANA15.476.97.7NANNNA
Yamamoto et al 43 Pathologic support for limited hepatectomy in the treatment of liver metastases from colorectal cancer 19951991–1992National Cancer Center Hospital, Tokyo, Japan261427, multiple primaries12, multiple primaries83270NANANANNNA
Morino et al 44 Clinico-pathological features of liver metastases from colorectal cancer in relation to prognosis 19911980–1986Kyoto University Hospital, Japan16131217111827.620.734.541.4YYNA

Clinicopathological data were extracted as specified in the Methods section.

bev, bevacizumab; chemo, conventional cytotoxic chemotherapy; CRLM, colorectal cancer liver metastases; N, no; NA, not available; Y, yes.

Study flow diagram according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. One study15was included specifically for outcome data, as it reported the outcome for a cohort published in a more recent article13; this study was excluded due to overlapping cohort from the main series. Another study27 included two independent patient cohorts that were reported separately; this study is counted as one item. Overview of eligible studies included Clinicopathological data were extracted as specified in the Methods section. bev, bevacizumab; chemo, conventional cytotoxic chemotherapy; CRLM, colorectal cancer liver metastases; N, no; NA, not available; Y, yes.

Terminology of CRLM growth patterns

Although in general three major patterns were discernible across the studies, the terminology used to describe different growth patterns varied markedly (illustrated in figure 2). The most frequently used single term to describe the presence of fibrotic tissue separating tumour and liver cells was ‘desmoplastic’ (27% of all studies), but expressions referring to ‘capsule’ (such as ‘encapsulated’ or ‘pseudocapsule’) were cumulatively more frequent (54.5%). The most frequently used term to describe a pattern in which tumour cells infiltrate along the liver cell plates and replace the hepatocytes was ‘replacement’ (27.3%), followed by ‘infiltrative’ (22.7%). The third pattern, in which liver cell plates surrounding the tumour appear flattened (often referred to as ‘compressed’), while intervening fibrotic tissue is absent, was most frequently described as ‘pushing’ (31.8%), followed by ‘expansive’ (22.7%). Throughout the remainder of this article, we employ the most frequently used terms, ‘desmoplastic’, ‘replacement’, and ‘pushing’, adhering to the consensus guidelines.18
Figure 2

Word cluster diagram of colorectal cancer liver metastases growth pattern terminology. Original terms for the histological growth patterns in the literature are shown in a font size proportional to their absolute frequency (n=22 studies, not considering the consensus guidelines18 as these already reflect a distillate from previous studies). These are grouped and coloured by similarity into ‘consensus terms’ (‘desmoplastic’, green; ‘pushing’, blue; and ‘replacement’, red). The filled green shape indicates terms related to ‘capsule’.

Word cluster diagram of colorectal cancer liver metastases growth pattern terminology. Original terms for the histological growth patterns in the literature are shown in a font size proportional to their absolute frequency (n=22 studies, not considering the consensus guidelines18 as these already reflect a distillate from previous studies). These are grouped and coloured by similarity into ‘consensus terms’ (‘desmoplastic’, green; ‘pushing’, blue; and ‘replacement’, red). The filled green shape indicates terms related to ‘capsule’.

Classification schemes and histopathological criteria for growth pattern reporting

Not all studies considered all three major patterns. Overall, the desmoplastic pattern was considered most frequently (in 21 out of 23 studies), while the replacement and pushing patterns were described less often (both in 14 out of 23 studies; figure 3A). A total of 11 studies distinguished between two growth patterns, while 11 studies used a three-tier, and one study a four-tier classification system (figure 3B). The consensus paper specifically discusses two further rare growth patterns, ‘sinusoidal’ and ‘portal’,18 which are not systematically used in the literature and for the sake of practicability will not be considered further here.
Figure 3

Classification systems and reported frequencies of colorectal cancer liver metastases (CRLM) growth patterns. (A) Overall reported frequencies of CRLM growth patterns. Heterogeneous expressions used to describe growth patterns between studies were grouped by similarity with respect to their individual terms and associated descriptions into ‘consensus terms’ (related to figure 2). (B) Number of growth patterns considered in each study. Note that some studies regarded the presence/absence of a fibrotic capsule as a parameter independent of the histological growth patterns—that is, ‘desmoplastic’ metastases could be simultaneously classified as ‘pushing’ or ‘replacement’. ‘Mixed’ patterns are not included, as they do not define a specific category. (C) Percentage frequencies of reported growth patterns by study, according to consensus terms. For studies (in italics) in which a capsule was assessed independently, its frequency is represented in a separate bar. Note: In some studies, single metastases could not be classified by the reporting authors, in which case the bars do not add up to 100%. Although Terayama et al 42 considered a total of four growth patterns the description of ‘sinusoidal’ was considered to closely represent the ‘replacement’ pattern in this specific study and counted as such. GP, growth pattern.

Classification systems and reported frequencies of colorectal cancer liver metastases (CRLM) growth patterns. (A) Overall reported frequencies of CRLM growth patterns. Heterogeneous expressions used to describe growth patterns between studies were grouped by similarity with respect to their individual terms and associated descriptions into ‘consensus terms’ (related to figure 2). (B) Number of growth patterns considered in each study. Note that some studies regarded the presence/absence of a fibrotic capsule as a parameter independent of the histological growth patterns—that is, ‘desmoplastic’ metastases could be simultaneously classified as ‘pushing’ or ‘replacement’. ‘Mixed’ patterns are not included, as they do not define a specific category. (C) Percentage frequencies of reported growth patterns by study, according to consensus terms. For studies (in italics) in which a capsule was assessed independently, its frequency is represented in a separate bar. Note: In some studies, single metastases could not be classified by the reporting authors, in which case the bars do not add up to 100%. Although Terayama et al 42 considered a total of four growth patterns the description of ‘sinusoidal’ was considered to closely represent the ‘replacement’ pattern in this specific study and counted as such. GP, growth pattern. The exact definitions of the histopathological criteria varied substantially (online supplementary table 1). For example, describing the desmoplastic pattern, some definitions required the metastases to be ‘completely surrounded by fibrous tissue’38 or to be of a certain thickness that varied between studies,29 32 while other definitions were less specific and based on the presence of a ‘fibrotic capsule’.30 42 44 Four studies reported the presence or absence of a fibrotic capsule as a feature separate from either the replacement or pushing growth patterns (table 1). In general, a heterogeneous picture of histopathological definitions and classification schemes became evident.

Reported frequencies of CRLM growth patterns

Reported unweighted median frequency for the desmoplastic pattern was 41.7% (range: 10.5%–80%), for the pushing pattern 37.1% (range: 1.7%–91.5%), and for the replacement pattern 43.3% (range: 7.7%– 65.2%) (figure 3C).

Reported frequencies of CRLM growth patterns in relation to preoperative chemotherapy

Following current treatment routines, most patients with CRLM will undergo preoperative chemotherapy,45 which may impact directly on the growth pattern phenotypes or select for those types possibly resistant to chemotherapy. Thus, we assessed whether studies explicitly reported data on chemonaïve patients. For articles published in the 1990s, systemic preoperative chemotherapy was unlikely, but given regional and historic differences in treatment regimens that may not have been reported in detail, we included only those studies with explicit statements. We identified two studies in which only patients who had not received preoperative chemotherapy were included.12 28 In a third study (not included in the eligible studies due to overlap with a more recent report), data for patients without preoperative chemotherapy were published separately.46 In addition, four studies reported growth pattern frequencies for chemonaïve and chemotherapy-treated patients separately.13 29–31 In one study with two cohorts,27 all patients had received cytotoxic therapy in combination with the anti-vascular endothelial growth factor antibody bevacizumab, while in another study, the cohort receiving bevacizumab in addition to chemotherapy was analysed individually.13 Figure 4A shows the distribution of growth patterns stratified according to the administration of preoperative chemotherapy. Although there was substantial variation between studies with respect to histopathological analysis, which precluded quantitative synthesis, there were no obvious differences in overall growth pattern distribution across treatment groups (figure 4B). However, a decrease in the frequency of the pushing pattern was observed in patients treated with both bevacizumab and chemotherapy, likely due to differences in histologic classification27 as discussed below.
Figure 4

Reported frequencies stratified according to preoperative chemotherapy. (A) Percentage frequencies of reported growth patterns by study, grouped according to treatment: no preoperative treatment, cytotoxic chemotherapy, or cytotoxic chemotherapy plus bevacizumab. For studies (in italics) in which the capsule was assessed independently, its frequency is represented in a separate bar. Studies that reported both treated and untreated patients are grouped and indicated with grey or white background. The total number of patients in each study cohort is given to the right of each bar. (B) Reported frequencies for the three treatment groups; lines indicate minimum and maximum, filled circle indicates median (frequency in %). Note: The mixed pattern was reported in one study only for chemo and bev-chemo groups. bev, bevacizumab; chemo, conventional cytotoxic chemotherapy.

Reported frequencies stratified according to preoperative chemotherapy. (A) Percentage frequencies of reported growth patterns by study, grouped according to treatment: no preoperative treatment, cytotoxic chemotherapy, or cytotoxic chemotherapy plus bevacizumab. For studies (in italics) in which the capsule was assessed independently, its frequency is represented in a separate bar. Studies that reported both treated and untreated patients are grouped and indicated with grey or white background. The total number of patients in each study cohort is given to the right of each bar. (B) Reported frequencies for the three treatment groups; lines indicate minimum and maximum, filled circle indicates median (frequency in %). Note: The mixed pattern was reported in one study only for chemo and bev-chemo groups. bev, bevacizumab; chemo, conventional cytotoxic chemotherapy.

Intralesional heterogeneity of CRLM growth patterns

The fact that some authors assessed desmoplasia/encapsulation independently of the other growth patterns indicated heterogeneity within single metastases. This is also reflected in the recent consensus guidelines, in which a cut-off >50% of the tumour-liver interface is considered defining the predominant growth pattern.18 Therefore, next we assessed how frequently heterogeneous patterns were reported. We found that in addition to the four studies in which the desmoplastic pattern was a separate parameter, a ‘mixed’ pattern was reported independently of the three main patterns in a further three studies,14 15 44 and independently of the desmoplastic and replacement patterns in a fourth.28 Frequencies for a mixed pattern were 18.6%15 and 17.6%14 in two larger cohorts and 10%28 and 41.4%44 in two smaller ones. Intralesional heterogeneity was also reflected indirectly in some studies that did not quantify this feature, stating that heterogeneity was ‘uncommon’,31 or that ‘usually’ or ‘in most of the cases’, only one growth pattern was present.12 33 Similar to the consensus guidelines, a recent study addressed intralesional heterogeneity by scoring the percentage of each pattern for every individual lesion.27 Of note, the authors refined their own previously developed criteria,12 as they observed that in some cases in which tumour cells seemed to directly replace hepatocytes, flattening of the surrounding liver plates—a characteristic of the pushing type—was also apparent.27

Interlesional heterogeneity of CRLM growth patterns

Approximately half of all patients with CRLM present with more than one hepatic lesion at the time of diagnosis.45 47 Hence, an important question was whether interlesional heterogeneity was present and how it was assessed. Various approaches were used: three studies included a statement that multiple lesions showed similar pathological features,12 40 43 while in others, quantitative differences in growth patterns between multiple lesions were not commonly reported. In studies with statements on multiple lesions, the largest metastasis (or the lesion with the largest tumour-liver interface) was most frequently used for growth pattern assessment.12 33 40 43 Given the lack of quantitative reporting, interlesional heterogeneity could not be analysed further for review purposes. However, one additional paper (not included in the eligible studies due to likely cohort overlap) provided a systematic analysis of interlesional heterogeneity in chemonaïve patients with multiple CRLM (n=24).48 Applying a three-tier system for desmoplastic, pushing, and replacement patterns, and also considering mixed cases, the authors found that in 20 patients with a uniform growth pattern in a single metastasis, 12 had a single growth pattern in all metastases, while eight had CRLM of more than one type. Overall, the authors concluded that the data suggested ‘… that the growth pattern of liver metastases is not a random phenomenon'.48 Two studies reported data on repeated hepatic resections. Of note, the majority of recurring CRLMs showed the same growth pattern as in the first resection (n=5 and n=21, respectively).30 33

Prognostic potential of growth pattern assessment

Among the eligible studies, a total of 17 investigated the prognostic impact of CRLM growth patterns (online supplementary table 2). One additional study15 reported recurrence risk specifically for a cohort included in a more recent study.13 One study reported two cohorts separately,27 yielding a total of 19 different patient cohorts for analysis of outcome. The most commonly reported metrics were overall survival, disease-free survival, and disease recurrence. However, reported outcome data across studies were not applicable to pooled quantitative analysis due to substantial heterogeneity in terminology, definitions of histopathological criteria, classification systems (two or three-tiered), independent assessment of the capsule, and different outcome metrics. Nevertheless, descriptive analysis (figure 5A) showed that for 14 out of 17 cohorts (82.4%) in which the CRLM growth pattern was assessed, a statistically significant favourable outcome was reported for patients with desmoplastic CRLM. In eight out of 12 cohorts (66.7%) in which the pattern was assessed, a significantly unfavourable outcome for patients with a predominantly replacement-type CRLM was found. No study reported the opposite effects, that is, neither inferior outcome for desmoplastic pattern nor beneficial outcome for replacement pattern CRLM was found in any of the cohorts. Two studies found no significant differences, and one out of 12 studies (8.3%) that considered this pattern showed unfavourable survival for patients with pushing-type CRLM.
Figure 5

Impact of main growth patterns on prognosis. First column: The desmoplastic pattern is characterised by a rim of fibrotic stroma (green) that separates tumour cells from the surrounding hepatocytes. Second column: In the replacement pattern, tumour cells (grey) invade along the liver cell plates, replacing the hepatocytes (yellow). Third column: In the pushing pattern, the liver plates adjacent to the metastases appear flattened (arrowheads); blue: central veins. (A) Dot plot of all studies reporting outcome for every growth pattern; one dot corresponds to one study; (B) as in (A), but only considering studies published prior to Food and Drug Administration’s (FDA) approval of bevacizumab (indicated by thick line in online supplementary table 2). Note that some studies found effects for more than one pattern.

Impact of main growth patterns on prognosis. First column: The desmoplastic pattern is characterised by a rim of fibrotic stroma (green) that separates tumour cells from the surrounding hepatocytes. Second column: In the replacement pattern, tumour cells (grey) invade along the liver cell plates, replacing the hepatocytes (yellow). Third column: In the pushing pattern, the liver plates adjacent to the metastases appear flattened (arrowheads); blue: central veins. (A) Dot plot of all studies reporting outcome for every growth pattern; one dot corresponds to one study; (B) as in (A), but only considering studies published prior to Food and Drug Administration’s (FDA) approval of bevacizumab (indicated by thick line in online supplementary table 2). Note that some studies found effects for more than one pattern. It has recently been shown that survival of patients with desmoplastic CRLM compared with the replacement type was favourable only in patients receiving the anti-angiogenic antibody bevacizumab, while there was no difference in the cohort that did not receive the drug.27 When focusing on articles published before the approval of bevacizumab by the US Food and Drug Administration (FDA) in 2004,49 50 we found that all six studies that considered the desmoplastic growth pattern reported a significantly better outcome for patients with this pattern, while three out of four studies that considered the replacement-type growth pattern found a significantly poorer survival associated with replacement pattern CRLM (figure 5B); two of these studies found both effects.

Discussion

In the earliest systematic description of CRLM growth patterns identified in this systematic analysis of the literature, Morino et al classified the tumour border of CRLM inspired by previous observations in hepatocellular carcinoma51; the authors distinguished between ‘sinusoidal’ (largely corresponding ‘replacement’, but also used as a term to describe a very rare pattern for CRLM in the consensus guidelines18) and ‘expansive’ (corresponding to ‘pushing’). They assessed ‘capsule formation’ as an independent feature.44 This early description established the morphological framework, and modifications of the initial terminology have been followed in all studies included in this systematic review. The rationale behind the need for routine reporting of CRLM growth patterns is at least twofold: on one hand, the patterns may be useful for prognostication and may aid treatment decisions27; on the other hand, it is likely that understanding these distinct patterns of metastatic progression will provide important insights into the biological mechanisms that support tumour growth in the liver. To this end, Frentzas et al showed that microvessel co-option, besides providing vascular supply, renders metastases of the replacement type resistant to anti-angiogenic therapy.27 Furthermore, the authors suggested an alternative approach for treating replacement-type metastases by suppressing cancer cell motility, which they achieved experimentally by knocking down the actin-related protein 2/3 complex. It is worth noting that several studies published before FDA approval of anti-angiogenic therapy found a favourable prognosis for patients with desmoplastic-type CRLM, suggesting that there are important mechanistic insights beyond differences in angiogenesis to be gained from the different growth patterns (figure 5B). The most significant limitation of this systematic review is intrinsic to the studies analysed and highlights a major challenge of the field: Pronounced study heterogeneity—most importantly in classification systems and histopathological definitions as summarised in online supplementary table 1—precluded quantitative synthesis. Although formal meta-analysis was not possible, a high number of studies that assessed outcome concluded that the desmoplastic pattern is associated with a favourable prognosis. This was independent of the era in which the patient cohorts were treated and thus the data indicate that specific treatment regimens cannot sufficiently explain the positive prognostic effect of the desmoplastic pattern. In addition, more than one quarter of all studies found that the replacement pattern was associated with unfavourable prognosis, suggesting that distinguishing between the desmoplastic and replacement patterns and understanding the underlying mechanisms likely is of highest impact for developing prognostic tools and treatment strategies. As highlighted by our results, comparable data are essential for future quantification, and following common terminologies as well as growth pattern definitions is warranted. We suggest, in line with the recent consensus guidelines,18 the most frequently used terms, ‘desmoplastic’, ‘replacement’, and ‘pushing’. We hope that this review will contribute to routine pathological reporting of the histological growth patterns in CRLM.
  49 in total

1.  Tumour border configuration in colorectal cancer: proposal for an alternative scoring system based on the percentage of infiltrating margin.

Authors:  Eva Karamitopoulou; Inti Zlobec; Viktor Hendrik Koelzer; Rupert Langer; Heather Dawson; Alessandro Lugli
Journal:  Histopathology       Date:  2015-03-23       Impact factor: 5.087

2.  Perioperative FOLFOX4 chemotherapy and surgery versus surgery alone for resectable liver metastases from colorectal cancer (EORTC 40983): long-term results of a randomised, controlled, phase 3 trial.

Authors:  Bernard Nordlinger; Halfdan Sorbye; Bengt Glimelius; Graeme J Poston; Peter M Schlag; Philippe Rougier; Wolf O Bechstein; John N Primrose; Euan T Walpole; Meg Finch-Jones; Daniel Jaeck; Darius Mirza; Rowan W Parks; Murielle Mauer; Erik Tanis; Eric Van Cutsem; Werner Scheithauer; Thomas Gruenberger
Journal:  Lancet Oncol       Date:  2013-10-11       Impact factor: 41.316

3.  Tumor growth pattern as predictor of colorectal liver metastasis recurrence.

Authors:  Rafael S Pinheiro; Paulo Herman; Renato M Lupinacci; Quirino Lai; Evandro S Mello; Fabricio F Coelho; Marcos V Perini; Vincenzo Pugliese; Wellington Andraus; Ivan Cecconello; Luiz Carneiro D'Albuquerque
Journal:  Am J Surg       Date:  2013-10-07       Impact factor: 2.565

4.  Hepatic resection for colorectal metastases: analysis of prognostic factors.

Authors:  S Ambiru; M Miyazaki; T Isono; H Ito; K Nakagawa; H Shimizu; K Kusashio; S Furuya; N Nakajima
Journal:  Dis Colon Rectum       Date:  1999-05       Impact factor: 4.585

5.  Tumor border configuration added to TNM staging better stratifies stage II colorectal cancer patients into prognostic subgroups.

Authors:  Inti Zlobec; Kristi Baker; Parham Minoo; Shinichi Hayashi; Luigi Terracciano; Alessandro Lugli
Journal:  Cancer       Date:  2009-09-01       Impact factor: 6.860

6.  Bevacizumab plus irinotecan, fluorouracil, and leucovorin for metastatic colorectal cancer.

Authors:  Herbert Hurwitz; Louis Fehrenbacher; William Novotny; Thomas Cartwright; John Hainsworth; William Heim; Jordan Berlin; Ari Baron; Susan Griffing; Eric Holmgren; Napoleone Ferrara; Gwen Fyfe; Beth Rogers; Robert Ross; Fairooz Kabbinavar
Journal:  N Engl J Med       Date:  2004-06-03       Impact factor: 91.245

7.  Stromal Hedgehog signalling is downregulated in colon cancer and its restoration restrains tumour growth.

Authors:  Marco Gerling; Nikè V J A Büller; Leonard M Kirn; Simon Joost; Oliver Frings; Benjamin Englert; Åsa Bergström; Raoul V Kuiper; Leander Blaas; Mattheus C B Wielenga; Sven Almer; Anja A Kühl; Erik Fredlund; Gijs R van den Brink; Rune Toftgård
Journal:  Nat Commun       Date:  2016-08-05       Impact factor: 14.919

8.  Patterns of metastasis in colon and rectal cancer.

Authors:  Matias Riihimäki; Akseli Hemminki; Jan Sundquist; Kari Hemminki
Journal:  Sci Rep       Date:  2016-07-15       Impact factor: 4.379

9.  Vessel co-option mediates resistance to anti-angiogenic therapy in liver metastases.

Authors:  Sophia Frentzas; Eve Simoneau; Victoria L Bridgeman; Peter B Vermeulen; Shane Foo; Eleftherios Kostaras; Mark Nathan; Andrew Wotherspoon; Zu-Hua Gao; Yu Shi; Gert Van den Eynden; Frances Daley; Clare Peckitt; Xianming Tan; Ayat Salman; Anthoula Lazaris; Patrycja Gazinska; Tracy J Berg; Zak Eltahir; Laila Ritsma; Jacco Van Rheenen; Alla Khashper; Gina Brown; Hanna Nystrom; Malin Sund; Steven Van Laere; Evelyne Loyer; Luc Dirix; David Cunningham; Peter Metrakos; Andrew R Reynolds
Journal:  Nat Med       Date:  2016-10-17       Impact factor: 53.440

10.  International consensus guidelines for scoring the histopathological growth patterns of liver metastasis.

Authors:  Pieter-Jan van Dam; Eric P van der Stok; Laure-Anne Teuwen; Gert G Van den Eynden; Martin Illemann; Sophia Frentzas; Ali W Majeed; Rikke L Eefsen; Robert R J Coebergh van den Braak; Anthoula Lazaris; Maria Celia Fernandez; Boris Galjart; Ole Didrik Laerum; Roni Rayes; Dirk J Grünhagen; Michelle Van de Paer; Yves Sucaet; Hardeep Singh Mudhar; Michael Schvimer; Hanna Nyström; Mark Kockx; Nigel C Bird; Fernando Vidal-Vanaclocha; Peter Metrakos; Eve Simoneau; Cornelis Verhoef; Luc Y Dirix; Steven Van Laere; Zu-Hua Gao; Pnina Brodt; Andrew R Reynolds; Peter B Vermeulen
Journal:  Br J Cancer       Date:  2017-10-05       Impact factor: 7.640

View more
  24 in total

Review 1.  Radiofrequency ablation of liver metastasis: potential impact on immune checkpoint inhibitor therapy.

Authors:  Yasunori Minami; Naoshi Nishida; Masatoshi Kudo
Journal:  Eur Radiol       Date:  2019-04-08       Impact factor: 5.315

Review 2.  Breast cancer liver metastasis: current and future treatment approaches.

Authors:  Narmeen S Rashid; Jacqueline M Grible; Charles V Clevenger; J Chuck Harrell
Journal:  Clin Exp Metastasis       Date:  2021-03-06       Impact factor: 5.150

3.  The Histopathological Growth Pattern of Colorectal Liver Metastases Impacts Local Recurrence Risk and the Adequate Width of the Surgical Margin.

Authors:  L Viganò; B Branciforte; V Laurenti; G Costa; F Procopio; M Cimino; D Del Fabbro; L Di Tommaso; G Torzilli
Journal:  Ann Surg Oncol       Date:  2022-06-10       Impact factor: 4.339

Review 4.  Histopathological growth patterns of liver metastasis: updated consensus guidelines for pattern scoring, perspectives and recent mechanistic insights.

Authors:  Emily Latacz; Diederik Höppener; Ali Bohlok; Vincent Donckier; Peter M Siegel; Raymond Barnhill; Marco Gerling; Cornelis Verhoef; Peter B Vermeulen; Sophia Leduc; Sébastien Tabariès; Carlos Fernández Moro; Claire Lugassy; Hanna Nyström; Béla Bozóky; Giuseppe Floris; Natalie Geyer; Pnina Brodt; Laura Llado; Laura Van Mileghem; Maxim De Schepper; Ali W Majeed; Anthoula Lazaris; Piet Dirix; Qianni Zhang; Stéphanie K Petrillo; Sophie Vankerckhove; Ines Joye; Yannick Meyer; Alexander Gregorieff; Nuria Ruiz Roig; Fernando Vidal-Vanaclocha; Larsimont Denis; Rui Caetano Oliveira; Peter Metrakos; Dirk J Grünhagen; Iris D Nagtegaal; David G Mollevi; William R Jarnagin; Michael I D'Angelica; Andrew R Reynolds; Michail Doukas; Christine Desmedt; Luc Dirix
Journal:  Br J Cancer       Date:  2022-06-01       Impact factor: 9.075

5.  Laparoscopic liver resection for colorectal liver metastases: retrospective analysis of prognostic factors and oncological outcomes in a single-center cohort.

Authors:  Emily Taillieu; Celine De Meyere; Frederiek Nuytens; Glenn Vanneste; Louis Libbrecht; Herwig Alaerts; Isabelle Parmentier; Chris Verslype; Mathieu D'Hondt
Journal:  Langenbecks Arch Surg       Date:  2022-05-02       Impact factor: 2.895

6.  Prognostic implications of adaptive immune features in MMR-proficient colorectal liver metastases classified by histopathological growth patterns.

Authors:  Nouredin Messaoudi; David Henault; David Stephen; Isabelle Cousineau; Eve Simoneau; Zhixia Rong; Richard Létourneau; Marylène Plasse; Michel Dagenais; André Roy; Réal Lapointe; Franck Vandenbroucke-Menu; Rastislav Kunda; Dirk Ysebaert; Geneviève Soucy; John Stagg; Peter Vermeulen; Simon Turcotte
Journal:  Br J Cancer       Date:  2022-01-03       Impact factor: 9.075

Review 7.  Physical traits of cancer.

Authors:  Hadi T Nia; Lance L Munn; Rakesh K Jain
Journal:  Science       Date:  2020-10-30       Impact factor: 47.728

Review 8.  Role of yttrium-90 selective internal radiation therapy in the treatment of liver-dominant metastatic colorectal cancer: an evidence-based expert consensus algorithm.

Authors:  D Rohan Jeyarajah; Maria B Majella Doyle; N Joseph Espat; Paul D Hansen; David A Iannitti; Joseph Kim; Thavam Thambi-Pillai; Brendan C Visser
Journal:  J Gastrointest Oncol       Date:  2020-04

Review 9.  Models and molecular mechanisms of blood vessel co-option by cancer cells.

Authors:  Yu Zhang; Sarah Wang; Andrew C Dudley
Journal:  Angiogenesis       Date:  2019-10-18       Impact factor: 9.596

Review 10.  Vessel co-option in cancer.

Authors:  Elizabeth A Kuczynski; Peter B Vermeulen; Francesco Pezzella; Robert S Kerbel; Andrew R Reynolds
Journal:  Nat Rev Clin Oncol       Date:  2019-08       Impact factor: 66.675

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.