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. 2022 Mar 16;22:280. doi: 10.1186/s12885-022-09339-0

The impact of AMIGO2 on prognosis and hepatic metastasis in gastric cancer patients

Keisuke Goto 1,2, Masaki Morimoto 2,, Mitsuhiko Osaki 1,3, Akimitsu Tanio 2, Runa Izutsu 1, Yoshiyuki Fujiwara 2, Futoshi Okada 1
PMCID: PMC8925171  PMID: 35296279

Abstract

Background

Gastric cancer (GC) is one of the most common malignancies, and the liver is the most common site of hematogenous metastasis of GC. AMIGO2 is a type I transmembrane protein that has been implicated in tumour cell adhesion in adenocarcinomas; however, its importance in GC remains undetermined.

Methods

We analyzed AMIGO2 expression by immunohistochemistry using the specific monoclonal antibody for human AMIGO2 in 128 patients who underwent GC surgery to evaluate its relationship between various metastatic and clinical outcomes in GC.

Results

Immunohistochemistry revealed that AMIGO2 expression was an independent prognostic factor for overall survival, disease-specific survival, and liver metastasis in GC patients.

Conclusions

This study showed that AMIGO2 is induced in GC tissues and can mediate hepatic metastasis. Determining AMIGO2 expression in GC will help predict patient prognosis and the incidence of liver metastasis.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-09339-0.

Keywords: AMIGO2, AMIGO, Gastric cancer, Hepatic metastasis

Background

As of 2020, gastric cancer (GC) is the fifth most common cancer worldwide in terms of incidence and the fourth leading cause of cancer-related mortality [1]. Thus, GC remains an important malignancy that has a poor prognosis, with an estimated annual incidence of over 1 million new cases and 769,000 deaths [1].

The liver is the most common site of hematogenous metastasis of GC, occurring in 3.5% to 11.1% of GC patients [26]. Liver resection for metastatic liver tumours in patients with colorectal and neuroendocrine cancer can be a useful option because of their relatively good prognoses after resection; however, for GC and esophagogastric junction cancer, the 5-year survival rates after liver resection are 27% and 12%, respectively, which are inferior to those of breast, ovarian, and testicular cancers. Furthermore, the diagnostic and therapeutic strategies for liver metastases of all these malignancies remain insufficient [7].

In GC patients, non-curative treatments including systemic chemotherapy and palliative therapy are the standard treatment for liver metastases, and hepatic resection with an R0 margin for a single small nodule can be acceptable to improve the prognosis of synchronous or metachronous liver metastases [810]. Additionally, it is difficult to accurately diagnose liver micrometastases preoperatively, and early postoperative recurrence would suggest that subclinical metastases had occurred at the time of surgery [11, 12]. Therefore, to improve the prognosis of GC patients, it is important to elucidate the detailed mechanisms by which GC cells metastasize to the liver and to develop markers that can predict liver metastasis.

The human AMIGO2 gene was originally identified as a novel transmembrane protein involved in neuronal processes [13]. The AMIGO family consists of AMIGO1/2/3, all of which are type I transmembrane proteins with six leucine-rich repeats and one immunoglobulin-like domain in the extracellular region. No specific ligand of them has been identified. Although the proteins of the AMIGO family share many structural similarities, their expression patterns and biological activities are dissimilar.

In human adenocarcinomas, AMIGO2 has been implicated in tumour cell adhesion [14, 15]. In ovarian cancer, cancer cells with high AMIGO2 expression show a significantly increased growth rate in the abdominal cavity [16]. In GC, patients with high AMIGO2 mRNA expression have a significantly worse prognosis [17].

However, few studies have investigated AMIGO2 expression using immunohistochemistry in cancer tissues or whether AMIGO2 is related to GC prognosis or metastasis. The intracellular localization of AMIGO2 has not been clarified yet. In this study, we performed immunostaining of primary gastric tumour tissues with the specific monoclonal antibody (rTNK1A0012a) for human AMIGO2 [18] to investigate the relationship between AMIGO2 expression and various metastatic and clinical outcomes.

Methods

Patient samples

Immunohistochemical analysis was performed using paraffin-embedded GC samples from 128 patients with GC who underwent gastrectomy at our institution between January 2010 and December 2013. Clinicopathological findings were determined by the Japanese Classification of GC [19]. The Tottori University Ethical Board approved the protocol (approval number: 17A142).

Immunohistochemistry

Serial sections were cut from formalin-fixed paraffin-embedded tissue samples at 4 µm, and then the sections were deparaffinized in xylene and rehydrated through a graded alcohol series. For antigen retrieval, the sections were incubated in 10 mM citrate buffer (pH 6.0) at 121 °C for 20 min in an autoclave. Sections were then incubated in 0.1% hydrogen peroxidase for 15 min to block endogenous peroxidases and in 10% goat normal serum (424,041; Nichirei Bioscience, Tokyo, Japan) for 15 min to prevent non-specific antigen binding. Since the commercially available antibody sc-373699 was found to be cross-reactive with all three molecules AMIGO1, 2 and 3 [18], in this study, we evaluated the protein expression of AMIGO2 in tumor cells using a newly developed antibody for human AMIGO2 (rTNK1A0012a), with a specificity to only AMIGO2 [18]. Slides were subsequently incubated with the antibody for human AMIGO2; rTNK1A0012a [18], overnight at 4 C, and then with preabsorbed horseradish peroxidase-conjugated goat anti-rat IgG (ab98425; Abcam, Cambridge, UK) for 20 min. Staining was visualized with diaminobenzidine (SK-4105; Vector Laboratories, Burlingame, CA, USA), and then sections were counterstained with haematoxylin. AMIGO2 expression in GC cells was evaluated in a blinded manner. Briefly, five random fields-of-view (400 × magnification) were examined. Tumours with > 70% positive cells were classified as high expression and those with ≤ 70% positive cells were classified as low expression. Two investigators (G.K. and M.M.) evaluated the immune-labelling; agreement was obtained in each case.

Statistical analysis

Differences between categorical variables were determined using the chi-squared test and Fisher's exact test. The Kaplan–Meier method was used to generate survival curves, and differences in survival curves were compared using the log-rank test. Cox proportional hazards models were used for multivariate analyses. To identify the risk factors of liver metastasis and peritoneal dissemination, multivariate analyses were performed by logistic regression analysis. p < 0.05 was considered significant. SPSS statistics version 25.0 software (IBM Corp., Armonk, NY, USA) and EZR software ver1.55 (Saitama Medical Center, Jichi Medical University) were used for all statistical analyses.

Results

AMIGO2 expression was associated with poor prognosis in GC patients

To assess AMIGO2 protein expression in GC tissues and to determine if there was a correlation with prognosis in GC patients, 128 GC specimens were evaluated by immunohistochemistry. Most GC cancer cells were moderately to strongly stained with AMIGO2. Positive staining was predominantly observed in the cytoplasm and nuclei of cancer cells (Fig. 1a, 1b). Cancer cells that were strongly stained in the cytoplasm and plasma membrane were considered to have positive AMIGO2 expression. The cut-off point for high expression was set at 70% staining frequency of cancer cells, and cases were divided into two groups: high expression (> 70%, Fig. 1a) and low expression (≤ 70%, Fig. 1b). On the basis of these criteria, high AMIGO2 expression was found in 22.7% (29/128) of samples.

Fig. 1.

Fig. 1

Representative images of the differential staining intensities of AMIGO2 staining in gastric cancer cells. AMIGO2 staining was predominantly cytoplasmic and nuclear in cancer cells. a The high (> 70% staining intensity) and (b) low (≤ 70% staining intensity) AMIGO2 expression groups. Scale bar: 100 μm

Table 1 shows the relationship between AMIGO2 expression and the clinicopathological features of GC patients. AMIGO2 expression was significantly higher in male patients (p = 0.047) and in those with vascular invasion (p = 0.013), whereas other factors including conventional serum tumour markers did not show a significant relationship with AMIGO2 expression (Table 1).

Table 1.

Association between AMIGO2 expression and clinicopathological factors. The chi-square test and Fisher's exact test were used for the statistical analyses

parameter AMIGO2 expression P value
negative positive
n = 99 n = 29
Age(years)  < 70 44 14 0.715
 ≥ 70 55 15
Sex male 71 26 0.047a
female 28 3
BMI  < 25 82 26 0.283
 ≥ 25 17 3
Neoadjuvant chemotherapy yes 9 2 0.526
no 90 27
Adjubant chemotherapy yes 30 11 0.439
no 69 18
Stage (UICC 7th) I 48 14 0.086
II 28 3
III 20 10
IV 3 2
Histlogical type poor/sig 54 10 0.057
well/mod/other 45 19
Vascular invasion negative 42 5 0.013 a
positive 57 24
Lymphatic invasion negative 34 7 0.300
positive 65 22
pT I/II 56 16 0.894
III/IV 43 13
pN 0 58 15 0.512
1 41 14
CEA (ng/mL)  < 5 78 20 0.272
 ≥ 5 21 9
CA19-9 (U/mL)  < 35 87 26 0.545
 ≥ 35 12 3
Liver metastasis presence 7 8 0.006 a
absence 92 21
Peritoneal dissemination presence 12 8 0.047 a
absence 87 21

BMI body mass index, sig/poor/mod/well signet-ring cell/poorly/moderately/well differentiated, pT/N pathological T/N stage, CEA carcinoembryonic antigen, CA19-9 carbohydrate antigen19-9, astatistically significant, the chi-square test and Fisher's exact test were used for the statistical analyses

To clarify the relationship between AMIGO2 expression and the prognosis of GC patients, Kaplan–Meier curves were generated and the log-rank test was performed. Patients with high AMIGO2 expression had worse overall survival (OS; p = 0.004, Fig. 2a) and disease-specific survival (DSS; p < 0.001, Fig. 2b) compared with patients with low AMIGO2 expression. Additionally, administration of neoadjuvant/adjuvant chemotherapy, stage II/III/IV disease, positivity for vascular/lymphatic invasion, and pathological T/N stages (pT/N) were risk factors for poorer OS and DSS after surgery in this cohort (Table 2). The prognostic curve for each stage was presented in supplementary Figure 1.

Fig. 2.

Fig. 2

AMIGO2 expression is negatively correlated with prognosis of patients with gastric cancer. a Kaplan–Meier analysis of overall survival in gastric cancer patients with high (> 70% staining intensity) vs. low (≤ 70%) AMIGO2 expression. Differences between the survival curves were examined using the log‑rank test. b Kaplan–Meier analysis of disease-specific survival in gastric cancer patients with high (> 70% staining intensity) vs. low (≤ 70%) AMIGO2 expression. Differences between the survival curves were examined using the log‑rank test

Table 2.

Survival analyses of prognostic factors

No. patients OS DSS
MST (days) 95% CI P value MST (days) 95% CI P value
Age (years)  < 70 58 NA NA 0.164 NA NA 0.272
 ≥ 70 70 2497 NA NA NA
Sex male 97 NA NA 0.315 NA NA 0.487
female 31 2473 981–3965 NA NA
BMI  < 25 108 NA NA 0.907 NA NA 0.491
 ≥ 25 20 NA NA NA NA
Neoadjuvant chemotherapy yes 41 849 359–1339  < 0.001a 875 616–1134  < 0.001 a
no 87 NA NA NA NA
Adjuvant chemotherapy yes 11 1120 716–1524  < 0.001 a 1285 784–1786  < 0.001 a
no 117 NA NA NA NA
Stage (UICC 7th) I 62 NA NA 0.001 a NA NA  < 0.001 a
II/III/IV 66 1430 264–2596 1811 NA
Histlogical type poor/sig 64 NA NA 0.199 NA NA 0.467
well/mod/other 64 2291 NA NA NA
Vascular invasion negative 47 NA NA 0.030 a NA NA 0.005 a
positive 81 2345 NA NA NA
Lymphatic invasion negative 41 NA NA 0.027 a NA NA 0.005 a
positive 87 2473 NA NA NA
pT I/II 72 NA NA 0.011 a NA NA  < 0.001 a
III/IV 56 1430 682–2178 1574 NA
pN 0 73 NA NA  < 0.001 a NA NA  < 0.001 a
1 55 1187 711–1663 1293 512–2074
CEA (ng/mL)  < 5 113 NA NA 0.664 NA NA 0.641
 ≥ 5 15 NA NA NA NA
CA19-9 (U/mL)  < 35 98 NA NA 0.895 NA NA 0.440
 ≥ 35 30 NA NA NA NA
Liver metastasis presence 15 664 394–934  < 0.001 a 664 394–934  < 0.001 a
absence 113 NA NA NA NA
Peritoneal dissemination presence 20 699 305–1093  < 0.001 a 699 305–1093  < 0.001 a
absence 108 NA NA NA NA
AMIGO2 low 99 NA NA 0.004 a NA NA  < 0.001 a
high 29 977 725–1229 1103 0–2587

OS overall survival, DSS disease-specific survival, CI confidence interval, MST median survival time, BMI body mass index, sig/poor/mod/well signet-ring cell/poorly/moderately/well differentiated, pT/N pathological T/N stage, CEA carcinoembryonic antigen, CA19-9 carbohydrate antigen19-9, NA not applicable, astatistically significant

Next, we examined which factors were independent risk factors for OS. The Cox proportional hazards model showed that high AMIGO2 expression was significantly associated with OS (hazard ratio [HR]: 2.383; 95% confidence interval [CI]: 1.316–4.314; p = 0.004). The presence of lymph node metastasis (HR: 3.554; 95% CI: 1.749–7.223; p < 0.001) was also independently correlated with OS. Conversely, vascular invasion, lymphatic invasion, and pT were not independent prognostic factors for OS (Table 3).

Table 3.

Multivariate analyses of risk factors for overall survival in gastric cancer patients

parameter HR 95% CI P value
Vascular invasion 1.134 0.424–3.033 0.803
Lymphatic invasion 0.810 0.271–2.422 0.707
pT 1.123 0.557–2.267 0.746
pN 3.554 1.749–7.223  < 0.001a
AMIGO2 high 2.383 1.316–4.314 0.004 a

GC gastric cancer, HR hazard ratio, CI confidence interval, pN pathological N stage, pT pathological T stage, astatistically significant

AMIGO2 expression was associated with liver metastasis in GC patients

Finally, we focused on the potential of AMIGO2 to suggest metastasis in GC patients. To this end, we examined whether AMIGO2 expression had any relationships to sites of metastasis; thus, incidences of liver metastasis and peritoneal dissemination were evaluated in the cohort. Then, the relationship between AMIGO2 expression in GC tissues and distant metastasis was compared by the chi-squared test. The frequency of liver metastasis (p = 0.006, Fig. 3a) and peritoneal dissemination (p = 0.047, Fig. 3b) was higher in the high AMIGO2 expression group than in the low expression group. Meanwhile, there was no significant difference in lung metastasis (p = 0.076, Fig. 3c) or lymph node metastasis (p = 0.499, Fig. 3d) according to AMIGO2 expression level.

Fig. 3.

Fig. 3

AMIGO2 expression in primary gastric cancer cells and cells from metastatic sites. Increased AMIGO2 expression was significantly associated with increased frequency of (a) liver metastasis and (b) peritoneal dissemination, but not (c) pulmonary metastasis or (d) lymph node metastasis. The chi-square test was used for all statistical analyses

In the multivariate analysis of risk factors for liver metastasis in GC patients, high AMIGO2 expression was significantly associated with liver metastasis by the logistic regression analysis (odds ratio [OR]: 4.308; 95% CI: 1.212–15.314; p = 0.024). Conversely, vascular invasion, lymphatic invasion, and pN were not independent prognostic factors (Table 4).

Table 4.

Multivariate analyses of risk factors for liver metastases in gastric cancer patients

parameter OR 95% CI P value
Vascular invasion 1.609 0.727–3.565 0.241
Lymphatic invasion 1.198 0.489–2.938 0.693
pN 6.065 0.793–46.401 0.083
AMIGO2 high 4.308 1.212–15.314 0.024*

GC Gastric cancer, OR odds ratio, CI confidence interval

In the multivariate analysis of risk factors for peritoneal dissemination in GC patients, the logistic regression analysis showed no significant difference between high AMIGO2 expression and the frequency of peritoneal dissemination (OR: 3.082; 95% CI: 0.942–10.085; p = 0.063). There was also no significant difference in the frequency of peritoneal dissemination among patients divided by vascular invasion, lymphatic invasion, pT, or pN (Table 5).

Table 5.

Multivariate analyses of risk factors for peritoneal dissemination in gastric cancer patients

parameter OR 95% CI P value
Vascular invasion 0.723 0.343–1.524 0.394
Lymphatic invasion 1.839 0.870–3.887 0.111
pT 2.110 0.551–8.082 0.276
pN 2.835 0.610–13.186 0.184
AMIGO2 high 3.082 0.942–10.085 0.063

GC gastric cancer, OR odds ratio, CI confidence interval, pN pathological N stage, pT pathological T stage

Discussion

The pathogenesis of metastasis involves many steps and depends on the intrinsic nature of the cancer cells and host responses. In 1889, the association between host and cancer cells was first revealed by Paget [20]. The “seed and soil” hypothesis is still widely accepted, wherein, the “seed” is recognized as a progenitor cell, initiating cell, cancer stem cell, or metastatic cell, and the “soil” is defined as a host factor, stroma, niche, or tissue microenvironment [21].

In terms of modern molecular oncology, it has been well established that epithelial-mesenchymal transition [22], receptors such human epidermal growth factor receptor 2 (HER2) [23], and microRNAs [24] regulate tumour metastasis. Kanda et al. demonstrated that AMIGO2, a member of the AMIGO family, functions as a driver gene for liver metastasis in a mouse model of fibrosarcoma [25]. They found that knocking down AMIGO2 expression tumour cells obtained from mice with high liver metastatic potential weakened the adhesion of tumour cells to hepatic vascular endothelial cells and suppressed liver metastasis. Conversely, forced expression of AMIGO2 in non-hepatic metastatic tumour cells enhanced their adhesion to hepatic vascular endothelial cells, resulting in the formation of liver metastases. Meanwhile, there was no increase in the adhesion of tumour cells to lung endothelial cells or in the formation of lung metastases. Thus, they showed that AMIGO2 drives liver metastasis by homophilic/heterophilic adhesion of tumour cells to liver endothelial cells [25]. Accordingly, our previous study showed that in human colorectal cancer, AMIGO2 expression was correlated with liver, but not lung or peritoneal, metastasis [15, 18]. In our data, AMIGO2 expression was significantly higher in patients with vascular invasion (Table 1). It suggests that AMIGO2 expression may imply the vascular affinity. In general, GC forms metastases via three distinct mechanisms including: i) lymphatic, ii) hematogenous, and iii) dissemination. Each of these metastatic mechanisms can be enhanced by numerous molecular processes such epithelial-mesenchymal transition, genetic mutations, and epigenetic alterations.

In this study, we performed immunostaining for AMIGO2 in specimens from GC patients to investigate its impact on prognosis and various metastatic outcomes. To date, there have been only four reports of AMIGO2 immunostaining in tumour tissues, human melanoma [26] and our previous studies on colorectal and gastric cancers [15, 18, 25]. Gastrointestinal tumours tend to form liver metastases more than other malignancies, especially colon cancer, which tends to metastasize to the liver more frequently than rectal cancer via portal vein reflux. Conversely, the frequency of liver metastasis is lower in GC than in colon cancer, despite portal vein reflux. Nevertheless, it is important to understand the underlying mechanisms of liver metastasis in GC and how to treat liver metastases because of the worse prognosis of GC patients with liver metastases.

In this study, we determined that AMIGO2 expression in GC tissue was an independent prognostic factor for OS. We also found that high AMIGO2 expression was significantly related to liver metastasis in GC patients. This result is consistent with previous observations that AMIGO2 increased cancer cell adhesion to the hepatic vascular endothelium [15] and of increased hepatic metastasis in GC patients with high AMIGO2 expression [15].

Regarding peritoneal dissemination, there was a significant difference in the univariate analysis but not in the multivariate analysis, so it should be noted that it was not an independent prognostic factor in this study. However, other factors such as cadherin may be intricately related to peritoneal dissemination, and it remains possible that AMIGO2 could be involved in peritoneal dissemination. Several adhesion molecules such as E-cadherin, integrin, and dihydropyrimidinase-like 3 (DPYSL3) have been found to be involved in peritoneal dissemination [27]. Therefore, although a relationship between AMIGO2 and peritoneal dissemination has not yet been clarified, it remains a possibility.

Univariate analysis revealed that AMIGO2 expression was significantly correlated with both OS and DSS in GC patients. Taken together, it may be possible that AMIGO2 expression worsens the prognosis of GC patients by increasing their likelihood of suffering liver metastasis.

Recently body fluids including liquid biopsy, circulating tumour cells, cell-free nucleic acid, circulating tumour DNA, and carcinoembryonic antigen have been investigated for developing new biomarkers in GC [2830]. However, immunohistological analysis remains essential for analysing cancer progression, invasion, and various tumour properties. In this study, we found that AMIGO2 expression in primary GC tumours correlated with the frequency of liver metastasis.

Conclusions

In conclusion, this study showed that AMIGO2 is induced in GC tissues and can mediate liver metastasis. We also found, for the first time, that immunohistochemical detection of high expression of AMIGO2 can predict the prognosis of GC patients. Determining AMIGO2 expression in GC can help predict patient prognosis and the incidence of liver metastasis, and AMIGO2 may provide a novel biomarker to GC.

Supplementary Information

Additional file 1. (193.5KB, pptx)

Acknowledgements

The authors would like to thank Hiroyuki Satofuka, Yasuhiro Kazuki and Hiroyuki Kugoh for their technical support to produce the specific monoclonal antibody "rTNK1A0012a" for human AMIGO2 [18].

Abbreviations

GC

Gastric cancer

OS

Overall survival

DSS

Disease-specific survival

HR

Hazard ratio

CI

Confidence interval

OR

Odds ratio

HER2

Human epidermal growth factor receptor 2

DPYSL3

Dihydropyrimidinase-like 3

Authors’ contributions

KG, MM, AT and MO established the study design and analytical concept. KG and MM performed statistical analyses and drafted the manuscript. KG contributed to the acquisition of clinical data. KG and MM was a major contribution in writing the manuscript. MM, MO, RI, YF and FO made the critical revision of the manuscript. All authors have read and approved the manuscript.

Funding

There are none regarding funding.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participate

All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional review board of ethics committee and national research committee with the 1964 Helsinki declaration and its later amendments. The Tottori University Hospital Ethics Committee approved this study (No. 17A142), and the need for informed consent was waived by the Tottori University Hospital Ethics Committee.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–249. doi: 10.3322/caac.21660. [DOI] [PubMed] [Google Scholar]
  • 2.Sakamoto Y, Sano T, Shimada K, Esaki M, Saka M, Fukagawa T, Katai H, Kosuge T, Sasako M. Favorable indications for hepatectomy in patients with liver metastasis from gastric cancer. J Surg Oncol. 2007;95(7):534–539. doi: 10.1002/jso.20739. [DOI] [PubMed] [Google Scholar]
  • 3.Cheon SH, Rha SY, Jeung HC, Im CK, Kim SH, Kim HR, Ahn JB, Roh JK, Noh SH, Chung HC. Survival benefit of combined curative resection of the stomach (D2 resection) and liver in gastric cancer patients with liver metastases. Ann Oncol. 2008;19(6):1146–1153. doi: 10.1093/annonc/mdn026. [DOI] [PubMed] [Google Scholar]
  • 4.Okano K, Maeba T, Ishimura K, Karasawa Y, Goda F, Wakabayashi H, Usuki H, Maeta H. Hepatic resection for metastatic tumors from gastric cancer. Ann Surg. 2002;235(1):86–91. doi: 10.1097/00000658-200201000-00011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.D'Angelica M, Gonen M, Brennan MF, Turnbull AD, Bains M, Karpeh MS. Patterns of initial recurrence in completely resected gastric adenocarcinoma. Ann Surg. 2004;240(5):808–816. doi: 10.1097/01.sla.0000143245.28656.15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Koga R, Yamamoto J, Ohyama S, Saiura A, Seki M, Seto Y, Yamaguchi T. Liver resection for metastatic gastric cancer: experience with 42 patients including eight long-term survivors. Jpn J Clin Oncol. 2007;37(11):836–842. doi: 10.1093/jjco/hym113. [DOI] [PubMed] [Google Scholar]
  • 7.Adam R, Chiche L, Aloia T, Elias D, Salmon R, Rivoire M, Jaeck D, Saric J, Le Treut YP, Belghiti J, Mantion G, Mentha G, Association Française de Chirurgie Hepatic resection for noncolorectal nonendocrine liver metastases: analysis of 1,452 patients and development of a prognostic model. Ann Surg. 2006;244(4):524–35. doi: 10.1097/01.sla.0000239036.46827.5f. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Kodera Y, Fujitani K, Fukushima N, Ito S, Muro K, Ohashi N, Yoshikawa T, Kobayashi D, Tanaka C, Fujiwara M. Surgical resection of hepatic metastasis from gastric cancer: a review and new recommendation in the Japanese gastric cancer treatment guidelines. Gastric Cancer. 2014;17(2):206–212. doi: 10.1007/s10120-013-0299-x. [DOI] [PubMed] [Google Scholar]
  • 9.Markar SR, Mikhail S, Malietzis G, Athanasiou T, Mariette C, Sasako M, Hanna GB. Influence of surgical resection of hepatic metastases from gastric adenocarcinoma on long-term survival: systematic review and pooled analysis. Ann Surg. 2016;263(6):1092–1101. doi: 10.1097/SLA.0000000000001542. [DOI] [PubMed] [Google Scholar]
  • 10.Van Cutsem E, Sagaert X, Topal B, Haustermans K, Prenen H. Gastric cancer. Lancet. 2016;388(10060):2654–2664. doi: 10.1016/S0140-6736(16)30354-3. [DOI] [PubMed] [Google Scholar]
  • 11.Sakamoto H, Attiyeh MA, Gerold JM, Makohon-Moore AP, Hayashi A, Hong J, Kappagantula R, Zhang L, Melchor JP, Reiter JG, Heyde A, Bielski CM, Penson AV, Gönen M, Chakravarty D, O'Reilly EM, Wood LD, Hruban RH, Nowak MA, Socci ND, Taylor BS, Iacobuzio-Donahue CA. The evolutionary origins of recurrent pancreatic cancer. Cancer Discov. 2020;10(6):792–805. doi: 10.1158/2159-8290.CD-19-1508. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Amikura K, Kobari M, Matsuno S. The time of occurrence of liver metastasis in carcinoma of the pancreas. Int J Pancreatol. 1995;17(2):139–146. doi: 10.1007/BF02788531. [DOI] [PubMed] [Google Scholar]
  • 13.Kuja-Panula J, Kiiltomäki M, Yamashiro T, Rouhiainen A, Rauvala H. AMIGO, a transmembrane protein implicated in axon tract development, defines a novel protein family with leucine-rich repeats. J Cell Biol. 2003;160(6):963–973. doi: 10.1083/jcb.200209074. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Rabenau KE, O'Toole JM, Bassi R, Kotanides H, Witte L, Ludwig DL, Pereira DS. DEGA/AMIGO-2, a leucine-rich repeat family member, differentially expressed in human gastric adenocarcinoma: effects on ploidy, chromosomal stability, cell adhesion/migration and tumorigenicity. Oncogene. 2004;23(29):5056–5067. doi: 10.1038/sj.onc.1207681. [DOI] [PubMed] [Google Scholar]
  • 15.Tanio A, Saito H, Amisaki M, Hara K, Sugezawa K, Uejima C, Tada Y, Kihara K, Yamamoto M, Nosaka K, Sasaki R, Osaki M, Okada F, Fujiwara Y. AMIGO2 as a novel indicator of liver metastasis in patients with colorectal cancer. Oncol Lett. 2021;21(4):278. doi: 10.3892/ol.2021.12539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Liu Y, Yang J, Shi Z, Tan X, Jin N, O'Brien C, Ott C, Grisoli A, Lee E, Volk K, Conroy M, Franz E, Bryant A, Campbell L, Crowley B, Grisoli S, Alexandrou AT, Li C, Harper EI, Asem M, Johnson J, Leonard A, Santanello K, Klein A, Wang Q, Zhang S, Hilliard TS, Stack MS. In vivo selection of highly metastatic human ovarian cancer sublines reveals role for AMIGO2 in intra-peritoneal metastatic regulation. Cancer Lett. 2021;503:163–173. doi: 10.1016/j.canlet.2021.01.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Nakamura S, Kanda M, Shimizu D, Tanaka C, Inokawa Y, Hattori N, Hayashi M, Yamada S, Nakayama G, Omae K, Koike M, Kodera Y. AMIGO2 expression as a potential prognostic biomarker for gastric cancer. Anticancer Res. 2020;40(12):6713–6721. doi: 10.21873/anticanres.14694. [DOI] [PubMed] [Google Scholar]
  • 18.Goto K, Osaki M, Izutsu R, Tanaka H, Sasaki R, Tanio A, Satofuka H, Kazuki Y, Yamamoto M, Kugoh H, Ito H, Oshimura M, Fujiwara Y, Okada F. Establishment of an antibody specific for AMIGO2 improves immunohistochemical evaluation of liver metastases and clinical outcomes in patients with colorectal cancer. Diagn Pathol. 2022;17(1):16. 10.1186/s13000-021-01176-2. [DOI] [PMC free article] [PubMed]
  • 19.Japanese Gastric Cancer Association Japanese gastric cancer treatment guidelines 2010 (ver. 3) Gastric Cancer. 2011;14(2):113–23. doi: 10.1007/s10120-011-0042-4. [DOI] [PubMed] [Google Scholar]
  • 20.Paget S. The distribution of secondary growths in cancer of the breast. The Lancet. 1889;133(3421):571–573. doi: 10.1016/S0140-6736(00)49915-0. [DOI] [PubMed] [Google Scholar]
  • 21.Langley RR, Fidler IJ. Tumor cell-organ microenvironment interactions in the pathogenesis of cancer metastasis. Endocr Rev. 2007;28(3):297–321. doi: 10.1210/er.2006-0027. [DOI] [PubMed] [Google Scholar]
  • 22.Thiery JP. Epithelial-mesenchymal transitions in tumour progression. Nat Rev Cancer. 2002;2(6):442–454. doi: 10.1038/nrc822. [DOI] [PubMed] [Google Scholar]
  • 23.Matsusaka S, Nashimoto A, Nishikawa K, Miki A, Miwa H, Yamaguchi K, Yoshikawa T, Ochiai A, Morita S, Sano T, Kodera Y, Kakeji Y, Sakamoto J, Saji S, Yoshida K. Clinicopathological factors associated with HER2 status in gastric cancer: results from a prospective multicenter observational cohort study in a Japanese population (JFMC44-1101) Gastric Cancer. 2016;19(3):839–851. doi: 10.1007/s10120-015-0518-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Tavazoie SF, Alarcón C, Oskarsson T, Padua D, Wang Q, Bos PD, Gerald WL, Massagué J. Endogenous human microRNAs that suppress breast cancer metastasis. Nature. 2008;451(7175):147–152. doi: 10.1038/nature06487. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kanda Y, Osaki M, Onuma K, Sonoda A, Kobayashi M, Hamada J, Nicolson GL, Ochiya T, Okada F. Amigo2-upregulation in Tumour Cells Facilitates Their Attachment to Liver Endothelial Cells Resulting in Liver Metastases. Sci Rep. 2017;7:43567. doi: 10.1038/srep43567. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Fontanals-Cirera B, Hasson D, Vardabasso C, Di Micco R, Agrawal P, Chowdhury A, Gantz M, de Pablos-Aragoneses A, Morgenstern A, Wu P, Filipescu D, Valle-Garcia D, Darvishian F, Roe JS, Davies MA, Vakoc CR, Hernando E, Bernstein E. Harnessing BET inhibitor sensitivity reveals AMIGO2 as a melanoma survival gene. Mol Cell. 2017;68(4):731–744.e9. doi: 10.1016/j.molcel.2017.11.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kanda M, Kodera Y. Molecular mechanisms of peritoneal dissemination in gastric cancer. World J Gastroenterol. 2016;22(30):6829–6840. doi: 10.3748/wjg.v22.i30.6829. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Jin CE, Koo B, Lee TY, Han K, Lim SB, Park IJ, Shin Y. Simple and low-cost sampling of cell-free nucleic acids from blood plasma for rapid and sensitive detection of circulating tumor DNA. Adv Sci (Weinh) 2018;5(10):1800614. doi: 10.1002/advs.201800614. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Park ES, Jin C, Guo Q, Ang RR, Duffy SP, Matthews K, Azad A, Abdi H, Todenhöfer T, Bazov J, Chi KN, Black PC, Ma H. Continuous flow deformability-based separation of circulating tumor cells using microfluidic ratchets. Small. 2016;12(14):1909–1919. doi: 10.1002/smll.201503639. [DOI] [PubMed] [Google Scholar]
  • 30.Huan Xu, Gao M, Tang X, Zhang W, Luo D, Chen M. Micro/Nano technology for next-generation diagnostics. Small Methods. 2019;4(4):1900506. 10.1002/smtd.201900506.

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1. (193.5KB, pptx)

Data Availability Statement

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.


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