Literature DB >> 31231566

Assessing molecular subtypes of gastric cancer: microsatellite unstable and Epstein-Barr virus subtypes. Methods for detection and clinical and pathological implications.

Carolina Martinez-Ciarpaglini1, Tania Fleitas-Kanonnikoff2, Valentina Gambardella2, Marta Llorca2, Cristina Mongort1, Regina Mengual2, Gema Nieto1, Lara Navarro1, Marisol Huerta2, Susana Rosello2, Desamparados Roda2, Noelia Tarazona2, Samuel Navarro1, Gloria Ribas2, Andrés Cervantes2.   

Abstract

BACKGROUND: The molecular classification of gastric cancer recognises two subtypes prone to immune checkpoint blockade: the microsatellite unstable and the Epstein-Barr virus (EBV)-related tumours. We aim to assess the concordance between immunohistochemistry and PCR for microsatellite status evaluation, and explore the value of microsatellite instability (MSI) and EBV as predictive survival factors.
MATERIAL AND METHODS: We collected 246 consecutively diagnosed gastric cancer cases in all stages and evaluated the microsatellite status using immunohistochemistry for mismatched repair (MMR) proteins and PCR. EBV expression was studied through in situ hybridisation.
RESULTS: Forty-five (18%) cases presented MSI and 13 (6%) were positive for EBV. MSI was associated with female sex, older age, distal location and distal non-diffuse type of the modified Lauren classification. EBV expression was most frequent in proximal location and proximal non-diffuse type. The sensitivity, specificity, positive predictive value and negative predictive value of immunohistochemistry for the microsatellite study were 91%, 98%, 91% and 98%, respectively. In the multivariate analysis, MSI was an independent predictor of favourable tumour-specific survival (TSS) in stages I-III (MSI: HR: 0.37, 95% CI 0.12 to 0.95, p=0.04).
CONCLUSIONS: The MSI status and the EBV expression should be incorporated in routine pathological report for two reasons. First, MSI defines a different pathological entity with a better outcome. Second, MSI and EBV may be useful biomarkers to identify patients who will respond to immune checkpoint blockade inhibitors. For this purpose, immunohistochemical study for MMR proteins and in situ hybridisation study for EBV evaluation are feasible and cost-effective methods.

Entities:  

Keywords:  epstein-barr virus; gastric cancer; microsatellite instability

Year:  2019        PMID: 31231566      PMCID: PMC6555614          DOI: 10.1136/esmoopen-2018-000470

Source DB:  PubMed          Journal:  ESMO Open        ISSN: 2059-7029


Recently, microsatellite instability (MSI) and Epstein-Barr virus (EBV) infection have proved to be useful biomarkers to identify patients with gastric cancer who will respond to immune checkpoint blockade inhibitors. Our study adds valuable information about MSI and EBV gastric cancer subtype characterisation and identification in daily practice. According to our results, MSI in gastric cancer defines a different pathological entity with a better outcome (MSI: HR: 0.37, 95% CI 0.12 to 0.95, p=0.04). For MSI evaluation in gastric cancer, immunohistochemical study for mismatched repair (MMR) proteins and PCR show an excellent concordance. Immunohistochemical study for MMR proteins and in situ hybridisation (ISH) for EBV evaluation are feasible and cost-effective methods. There is an urgent need to improve risk stratification in patients with gastric cancer. For this purpose, MSI and EBV are useful biomarkers and should be incorporated in routine pathological evaluation. Our results proved IHC for MMR proteins and ISH study for EBV to be applicable in daily practice. The results of both techniques significantly correlate with certain clinicopathological features and with the outcome.

Introduction

Gastric cancer (GC) was the global third leading cause of cancer mortality in 2015, responsible for 819 000 deaths.1 Significant advances in the understanding of the disease have been achieved as a result of comprehensive molecular and functional characterisations.2 3 The Cancer Genome Atlas (TCGA) classification established four main subgroups: tumours positive for Epstein-Barr virus (EBV-GC), microsatellite unstable tumours (MSI-GC), genomic stable tumours and tumours with chromosomal instability.2 Sporadic MSI-GC shows epigenetic silencing of MLH1 in the context of a CpG island methylator phenotype, causing a defective mismatched repair (MMR) mechanism, and the accumulation of insertion and deletion loops in gene coding regions responsible for important cell functions.4 5 The molecular classification proposed by Cristescu et al3 established four different subgroups regarding TCGA. However, both recognise MSI-GC as a special subgroup of gastric tumours. Although for the Cristescu et al classification EBV-GC was not a distinct entity, they noted the subgroup of TP53-activated tumours was enriched by EBV-positive cases.3 MSI-GC accounts for around 15%–30% of sporadic GCs, and EBV positivity has been reported in 10% of cases.4–6 The hypermutated nature of sporadic MSI-GC and the amplification of programmed death-ligand 1 (PD-L1) usual in EBV-GC make them liable for immune checkpoint blockade.7–9 MSI-GC is associated with a decreased response to fluorouracil-based chemotherapy, and most studies point microsatellite instability (MSI) as a predictor of a better cancer-specific survival.10–19 Therefore, the new American Joint Committee on Cancer (AJCC) staging manual (eighth edition) recommends MSI testing in both patients with GC and patients with colorectal cancer (CRC).20 Next-generation sequencing could be the most sensitive method for detecting MSI status. However, in the clinic, immunohistochemistry (IHC) expression of MMR proteins has gained acceptance as the most cost-effective method to detect MSI in CRC, showing an excellent concordance with the study through PCR. However, there are few studies exploring the concordance between immunohistochemistry and PCR for the MSI status in GC, and most differ widely on their design, number of nucleotides and proteins analysed.9 12 15–19 21–24 We built a series of 246 GCs to evaluate the MSI status using both immunohistochemistry for MMR proteins (MLH1, MSH2, MSH6 and PMS2) and PCR for five quasimonomorphic mononucleotide repeats (BAT-25, BAT-26, NR-21, NR-24 and NR-27) in all cases, to determine the most accurate procedure and the concordance between both methods. Finally, we study the Epstein-Barr virus-encoded small RNAs (EBER) expression through in situ hybridisation (ISH) to evaluate its relation with the MSI status and their clinical implications as predictive survival factors.

Materials and methods

Formalin-fixed, paraffin-embedded GC samples consecutively diagnosed as adenocarcinoma over a period of 14 years (2003–2017) were collected. Cases with depleted tissue were excluded. A total of 246 patients with GC were identified: 191 of them have undergone either total or partial gastrectomy, and in the remaining 55 endoscopic biopsies were the only available material. All the slides were reviewed by two pathologists (CM and SN). Each case was classified according to the Lauren classification for histological subtype, and the AJCC classification (eighth edition) for depth of invasion and involvement of regional lymph nodes.20 25 In order to avoid tumour heterogeneity bias, we selected the most representative paraffin block of each case and performed all the procedures (immunohistochemistry, ISH and DNA isolation) in the same material. Clinicopathological and follow-up information was collected from all of the participants.

Immunohistochemistry

Paraffin-embedded tumour sections of 3 μm in thickness were deparaffinised, and antigen retrieval was done with a pressure cooker in citrate buffer at high pH (Dako, Glostrup, Denmark). Immunohistochemical study was done using an automatised system Autostainer Link 48 (Dako) with monoclonal antibodies: MLH1 (clone IR079, dilution 1/100, Dako), MSH2 (clone IR085, dilution 1/100, Dako), MSH6 (clone IR086, dilution 1/100, Dako) and PMS2 (clone IR087, dilution 1/100, Dako). Only nuclear staining with or without cytoplasmic staining in tumour cells was considered positive. Peritumorous lymphocytes, stromal cells and non-neoplastic epithelial cells were used as internal control. Only the complete loss of nuclear staining with positive internal control was considered as loss of MMR protein expression. Normal expression was defined as the presence of nuclear staining in tumour cells, irrespective of the intensity.

ISH for EBER

ISH for EBV was done using the EBER-PNA EnVision flex probe (Dako). Paraffin-embedded tumour tissue sections of 3 μm in thickness were deparaffinised and treated with proteinase K for 10 min. Probes were applied followed by denaturation and hybridisation at 60°C (1 hour). The tissue sections were visualised using a rabbit antibody and revealed with HRP-FLEX Dako polymers. The intensity of staining (weak, moderate or intense) and the percentage of positive cells were recorded. Cases showing nuclear staining in at least 5% of tumour cells were considered positive for EBER.

Fluorescent multiplex PCR-based method for MSI status

Genomic DNA was isolated from three unstained 20 μm sections using a QIAamp DNA FFPE Tissue Kit (Qiagen) following the manufacturer’s instructions. The final DNA concentration was quantified using a NanoDrop spectrophotometer (NanoDrop Technologies, Wilmington, Delaware, USA) and subsequently stored at –20°C. Five quasimonomorphic mononucleotide repeats—BAT-25, BAT-26, NR-21, NR-24 and NR-27—were coamplified in a single multiplex PCR (pentaplex) containing 100 ng sample DNA, 7.5 µL PCR master mix (2×) and 1.5 µL primer mix and 5 µL H20, following the manufacturer’s protocol (Multiplex PCR; Qiagen). The primers used were the following: BAT-25: 5 ‘TACCAGGTGGCAAAGGGCA3’- 5’ ‘TCTGCATTTTAACTATGG3’; BAT-26: 5 ‘CTGCGGTAATCAAGTTTTTAG3’- 5 ‘AACCATTCAACATTTTTAACCC3’; NR-21: 5 ‘GAGTCGCTGGCACAGTTCTA3’ −5 ‘CTGGTCACTCGCGTTTACAA3’; NR-24: 5 ‘GCTGAATTTTACCTCCTGAC3’−5 ‘ATTGTGCCATTGCATTCCAA3’ and NR-27: 5 ‘AACCATGCTTGCAAACCACT3’ −5 ‘CGATAATACTAGCAATGACC3’. The 5’antisense primer was labelled with a fluorescent dye using FAM for BAT- 26 and NR-21, NED for BAT-25 and NR-27, and VIC for NR-24 (ABI PRISM Primer Pairs, Applied Biosystems, Foster City, California). The allelic profiles were detected on an automated DNA sequencer (ABI PRISM 3100 Genetic Analyzer, Applied Biosystems) as we did previously.26 We classified a tumour as MSI when two or more markers showed instability.

Statistical analysis

Statistical analyses of data were carried out in the free software R environment, V.3.4.2 (Vienna, Austria; www.r-project.org). A p value of less than 0.05 was considered statistically significant. Comparison of clinical and pathological patients’ characteristics was done using the χ2 test, the Fisher’s exact test or the Wilcoxon test for qualitative and quantitative variables, respectively, prior to assessment of normality using the Shapiro-Wilk test. TSS was calculated from the diagnosis to the death of tumour-related causes or until the last known follow-up. Survival analyses were performed using Kaplan-Meier curves compared through log-rank test. Multivariate regression analysis was carried using Cox proportional hazards models with stepwise selection, including those variables significantly correlated with survival probability in the univariate analysis.

Results

Clinicopathological features

Features related to the MSI phenotype are summarised in table 1. In the molecular study, 45 out of 246 (18%) cases were MSI. MSI-GC was significantly associated with female sex, older age (mean 75 years), distal location (body and antrum) and distal non-diffuse modified Lauren classification (MLC). Histological subtype, pathological TNM (pTNM) classification, presence of lymph node metastasis and lymphovascular invasion showed no significant relation with MSI status.
Table 1

Clinicopathological features related to MSI status

MSS, n=201 (82%)MSI, n=45 (18%)P value
Characteristics
 Median age (range)68.1 (34–91)75.9 (52–95)<0.001*
Gender, n (%)
 Female57 (28.3)24 (53.3)0.001†
 Male144 (71.6)21 (46.6)
Location, n (%)
 GEJ and cardia54 (26.8)5 (11.1)0.03†
 Body and antrum141 (70.1)40 (88.8)
 Gastric pouch6 (2.9)0
Lauren histological classification, n (%)
 Intestinal124 (61.6)30 (66.6)0.13†
 Diffuse55 (27.3)7 (15.5)
 Mixed22 (10.9)8 (17.7)
Tumour location-modified Lauren classification, n (%)
 PND43 (21.3)4 (8.8)0.05†
 D77 (38.3)15 (33.3)
 DND81 (40.3)26 (57.7)
pTNM stage, n (%)
 I35 (23)8 (20)0.40†
 II44 (28.9)12 (30)
 III58 (38.1)19 (47.5)
 IV15 (9.8)1 (2.5)
pN stage, n (%)
 N062 (41.1)13 (33.3)0.06†
 N123 (15.2)11 (28.2)
 N228 (18.5)9 (23.1)
 N338 (25.2)6 (15.4)
Lymphovascular invasion, n (%)
 Absent65 (43)18 (45)0.82†
 Present86 (57)22 (55)
EBER expression, n (%)
 Positive10 (6)3 (7)0.74†
 Negative158 (94)38 (93)

Significant p-values are shown in bold

*Wilcoxon test.

†2 test.

D, diffuse; DND, distal non-diffuse; EBER, Epstein-Barr virus-encoded small RNAs; GEJ, gastro-oesophageal junction; MSI, microsatellite instability; MSS, microsatellite stable; PND, proximal non-diffuse; pN, pathological N; pTNM, pathological TNM.

Clinicopathological features related to MSI status Significant p-values are shown in bold *Wilcoxon test. †2 test. D, diffuse; DND, distal non-diffuse; EBER, Epstein-Barr virus-encoded small RNAs; GEJ, gastro-oesophageal junction; MSI, microsatellite instability; MSS, microsatellite stable; PND, proximal non-diffuse; pN, pathological N; pTNM, pathological TNM. EBV expression was evaluable in 209 cases, and 13 of them (6%) were positive. Three (24%) cases showed expression in 5%–10% of tumour cells, 6 (46%) in more than 80%, and in the remaining 4 (30%) the positivity ranged from 10% to 80% of cells (online supplementary figure S1). The intensity of staining was low in 4 (31%) cases, moderate in 2 (15%) and strong in 7 (54%). EBV expression was most frequent in proximal location and proximal non-diffuse type of the MLC (p=0.004 in both cases). Only 3 out of 13 (23%) EBV-positive cases were also MSI. Age, sex, MSI status, pTNM classification, histological grade, histological subtype, presence of lymph node metastasis and lymphovascular invasion showed no significant relation with EBER expression (table 2).
Table 2

Clinicopathological features related to EBV expression

EBV-positive, n=13 (6%)EBV-negative, n=196 (94%)P value
Characteristics
 Median age (range)66.7 (38–87)69.9 (64–95)0.47*
Gender, n (%)
 Female3 (23)69 (35)0.37†
 Male10 (77)127 (65)
Location, n (%)
 GEJ and cardia8 (62)43 (22)0.005†
 Body and antrum5 (38)147 (75)
 Gastric pouch06 (3)
Lauren histological classification, n (%)
 Intestinal10 (77)120 (61.2)0.52†
 Diffuse2 (15.3)50 (25.51)
 Mixed1 (7.7)26 (13.27)
Tumour location-modified Lauren classification, n (%)
 PND7 (54)33 (16.8)0.01†
 D3 (23)76 (38.8)
 DND3 (23)87 (44.4)
pTNM stage, n (%)
 I1 (8.3)37 (22.4)0.66†
 II5 (41.6)49 (29.7)
 III5 (41.6)65 (39.4)
 IV1 (8.3)14 (8.5)
pN stage, n (%)
 N04 (33.3)66 (40)0.73†
 N13 (25)30 (18.2)
 N22 (16.7)30 (18.2)
 N33 (25)39 (23.6)
Lymphovascular invasion, n (%)
 Absent8 (62)71 (36.4)0.11†
 Present4 (38)94 (35.4)

Significant p-values are shown in bold

*Wilcoxon test.

†Fisher’s exact test.

D, diffuse; DND, distal non-diffuse; EBV, Epstein-Barr virus; GEJ, gastro-oesophageal junction; PND, proximal non-diffuse; pN, pathological N; pTNM, pathological TNM.

Clinicopathological features related to EBV expression Significant p-values are shown in bold *Wilcoxon test. †Fisher’s exact test. D, diffuse; DND, distal non-diffuse; EBV, Epstein-Barr virus; GEJ, gastro-oesophageal junction; PND, proximal non-diffuse; pN, pathological N; pTNM, pathological TNM. Clinical information regarding therapeutic strategy in patients with localised disease was available in 146 patients. Ninety (62%) of them underwent surgery alone and 56 (38%) received perioperative platinum-based chemotherapy. Thirty-five (63%) patients completed all the preoperative treatments. However, only 12.6% of the 56 patients who received perioperatory treatment were able to complete the whole preoperative and postoperative treatments. Fifty (89%) patients received a combination of 5-fluorouracil/capecitabine with oxaliplatin.

Immunohistochemistry and PCR results

Forty-five cases (18%) showed loss of MMR protein expression: 91% (n=41/45) lost MLH1 and PMS2, and 9% (n=5/45) MSH2 and MSH6. In the PCR study, 40 (89%) cases were unstable for the five nucleotides analysed, and the remaining 5 cases were unstable for at least three markers. NR-21 was constantly unstable in all MSI tumours (100%). BAT-26, NR-27, NR-24 and BAT-25 were unstable in 98% (n=44), 98% (n=44), 95% (n=43) and 91% (n=41) of cases, respectively. Four MMR-negative cases (three of them negative for MLH1/PMS2 and one negative for MSH6/MSH2) resulted microsatellite stable in the molecular evaluation. Conversely, four MSI cases (three unstable for the five nucleotides, and one unstable for NR-21, NR-27 and BAT-26) retained the immunohistochemical expression of MMR proteins (online supplementary table S1 and figure S2). The sensitivity, specificity, positive predictive value and negative predictive value of the MMR immunostaining for the MSI status were 91%, 98%, 91% and 98%, respectively.

Survival analysis

The median follow-up period was 38.5 months (range: 3–180 months). In the survival analysis of patients in stages I–III, patients with MSI-GC showed a significantly lower risk of cancer-related death (HR: 0.43, 95% CI 0.05 to 0.10, p=0.03) (table 3). MSI status was also analysed by stage (online supplementary figure S3). Patients with MSI who did not receive perioperative treatment did better than those who underwent perioperative chemotherapy, particularly in stage II, although this difference did not reach statistical significance, probably due to the retrospective nature of this analysis (online supplementary figure S4). The presence of nodal metastasis, distal location and the distal non-diffuse subtype of the MLC also influenced TSS probability (figure 1). EBER expression did not reach a significant relation with survival probability.
Table 3

Univariate analysis for tumour-specific survival in stages I–III

HR95% CIP value
Gender (male)0.910.55 to 1.500.71
MSI0.430.05 to 0.100.03
EBER-positive1.130.40 to 3.140.81
pT3–4 vs 1–21.670.78 to 3.570.18
Nodal metastasis2.561.17 to 5.590.01
Distal location0.530.32 to 0.860.01
LV invasion1.410.70 to 2.860.32
Histological subtype
 Diffuse (vs intestinal)1.000.57 to 1.750.98
 Mixed (vs intestinal)0.920.39 to 2.150.84
Tumour location-modified Lauren classification
 D (vs PND)0.580.32 to 1.030.06
 DND (vs PND)0.420.23 to 0.750.003

Significant p-values are shown in bold

D, diffuse; DND, distal non-diffuse; EBER, Epstein-Barr virus-encoded small RNAs; LV, lymphovascular; MSI, microsatellite instability; PND, proximal non-diffuse.

Figure 1

Kaplan-Meier survival curves for tumour-specific survival (TSS). (A) In stages I–III, TSS probability was significantly higher than in microsatellite stable cases. (B) No significant differences in TSS probability were observed between EBER-positive and EBER-negative cases. EBER, Epstein-Barr virus-encoded small RNAs; MSI, microsatellite instability; MSS, microsatellite stable; NEG, negative; POS, positive.

Univariate analysis for tumour-specific survival in stages I–III Significant p-values are shown in bold D, diffuse; DND, distal non-diffuse; EBER, Epstein-Barr virus-encoded small RNAs; LV, lymphovascular; MSI, microsatellite instability; PND, proximal non-diffuse. Kaplan-Meier survival curves for tumour-specific survival (TSS). (A) In stages I–III, TSS probability was significantly higher than in microsatellite stable cases. (B) No significant differences in TSS probability were observed between EBER-positive and EBER-negative cases. EBER, Epstein-Barr virus-encoded small RNAs; MSI, microsatellite instability; MSS, microsatellite stable; NEG, negative; POS, positive. In the Cox multivariate analysis of patients in stages I–III, the most important factor for TSS was the presence of nodal metastasis (HR: 3.33, 95% CI 1.49 to 7.43, p=0.003). The MSI status and the presence of nodal metastases were the only independent factors influencing TSS. Patients with MSI-GC showed a significantly lower risk for tumour mortality (MSI: HR: 0.37, 95% CI 0.12 to 0.95, p=0.04) (table 4).
Table 4

Multivariate analysis for tumour-specific survival in stages I–III

HR95% CIP value
MSI0.370.12 to 0.950.04
Nodal metastasis3.331.49 to 7.430.003
Distal location1.550.18 to 12.720.68
Tumour location-modified Lauren classification
D (vs PND)0.170.02 to 1.380.09
DND (vs PND)0.710.02 to 2.570.25

Significant p-values are shown in bold

D, diffuse; DND, distal non-diffuse; MSI, microsatellite instability; PND, proximal non-diffuse.

Multivariate analysis for tumour-specific survival in stages I–III Significant p-values are shown in bold D, diffuse; DND, distal non-diffuse; MSI, microsatellite instability; PND, proximal non-diffuse.

Discussion

GC is a heterogeneous disease and the TCGA classification has improved our understanding of the pathogenesis and its most important molecular drivers. However, the lack of strong evidence for the clinical implications of each subtype, mostly because of the insufficient follow-up period, has limited the translation of the results to clinical practice.2 Although the MSI and the EBV subtypes of GC in the TCGA classification are defined by comprehensive multiomics analysis, most studies consider the immunohistochemical evaluation of the MMR proteins and the hybridisation study for EBER as surrogate markers to identify each subtype.8–10 24 27 28 However, there are few studies in the literature analysing GC for the correlation between the immunohistochemical expression of MMR proteins and the fluorescent multiplex markers by PCR.12 15 17 21 22 27 28 Most of the published studies follow the international consensus meeting proposed in 1997, the ‘Bethesda panel’, which recommends the use of five markers for the uniform analysis of MSI in CRC.29 These included two mononucleotide repeats (BAT-25 and BAT-26) and three dinucleotides (D5S346, D2S123 and D17S250) repeats. However, the sensitivity and specificity of this panel were questioned in the revised Bethesda guidelines for Lynch syndrome.30 Dinucleotide repeats are also highly polymorphic, and their use in MSI screening requires the analysis of the corresponding normal tissue. For all these reasons, the revised Bethesda guidelines recommend the addition of more mononucleotide markers, and highlight the need for further validation of MSI testing in tumour types other than colorectal and endometrial carcinoma.30 The description of quasimonomorphic mononucleotides, showing homozygous or quasi-homozygous state, with only minor size variations, allowed the MSI study in the absence of matching normal DNA. In our series, NR-21 was the most efficient of these markers, constantly unstable in all MSI tumours by PCR. According to our results, the agreement between the immunohistochemical study and the PCR for the MSI status in GC is excellent, and as in CRC the PCR may be used only when the immunohistochemistry is not conclusive. Eighteen per cent of our series showed MSI, a frequency included within the range published in the literature.3 4 10–13 We found MSI-GC to be more frequent in women and older patients in concordance with the results of the TCGA classification. Unlike the TCGA work, in which MSI was not associated to a special tumour location, we found MSI-GC to be more frequent in distal locations and in the distal non-diffuse subtypes of the MLC. This relation between MSI and distal location has been described before in the molecular classification proposed by Cristescu et al and has been reproduced in other series.3 11 12 17 22 24 31 The relation between this feature and Helicobacter pylori infection, which is the most important driving force in the development of the distal non-diffuse GC, requires further research.11 12 17 22 23 In our study, MSI was significantly associated with a reduced risk of mortality in multivariate analysis, independently of other factors such as clinical stage or nodal metastasis. For these reasons, we consider that MSI testing should be included in clinical practice due to its prognosis implications in patients with GC. Moreover, MSI may aid valuable information to avoid neoadjuvant chemotherapy in patients with limited locoregional disease or to consider immunotherapy when relapsing or presenting with advanced stages.32–36 Six per cent of our cases were positive to EBV. This proportion is within the lower limit of the reported prevalence of this subtype. Most of our EBV-positive cases were localised in the gastro-oesophageal junction and cardias. However, other authors found EBV-GC to be associated with distal location.24 Contrary to the TCGA classification, EBV expression showed no gender preference in our series. Larger series are needed to better characterise the demographic features of this group of tumours. We have identified three EBV-positive cases with defective MMR mechanism confirmed by both immunohistochemistry and PCR. It has been described that EBV-positive GC and MSI-GC are mutually exclusive when analysed by comprehensive genomic analysis. However, in our series, we used PCR and IHC for determining MSI status and ISH to find expression of EBV. These methods could be certainly less sensitive, and therefore more limited to properly define the true molecular status. In these three mentioned cases, EBER was expressed in 10%, 20% and 100% of tumour cells, respectively. Probably, the lack of a diffuse staining for EBER in all tumour cells in most MSI cases may lead to consider them as negative for EBV. However, there is no a clear cut-off for defining positivity in the ISH study for EBER, and most published studies consider the nuclear staining in tumour cells as ‘positive’ without any reference to the intensity or the percentage of cells.19 23 27 Although there is no relation with different outcomes for EBV-related tumours, it presents very specific molecular features. The main reported molecular alterations in EBV-GC include hypermethylation of the promoter region of the gene CDKN2A, as well as several mutations in genes such as phosphatidylinositol-3-kinase catalytic subunit alpha (PIK3CA) observed in about 5%–10%. Furthermore, Janus kinase 2, PD-L1/L2 and their receptors (PD-1/2) are frequently overexpressed in EBV-GC.2 37 These alterations have important therapeutic implications. Indeed, PIK3CA mutations lead to constitutive activation of its pathway even in the absence of growth factors,38 causing acquired resistance to inhibitors such as anti-p110 and anti-protein kinase B (PKB or AKTs).39 PD-1/PD-L1 have been reported to be significantly overexpressed in MSI and EBV-GC subtypes, and recently a high sensitivity to pembrolizumab, a checkpoint inhibitor, has been observed in these subtypes in a prospective phase II clinical trial.40–44 The main limitations of our study are its retrospective and exploratory design, and the relatively small proportion of MSI and EVB-positive cases, which make difficult the stratification analysis of survival by clinical stages. In conclusion, MSI status and EBV expression should be incorporated in routine pathological report for two reasons. First, MSI defines a different pathological entity with a better outcome. Second, MSI and EBV may be useful predictive biomarkers to identify patients responding to immune checkpoint inhibitors. For this purpose, immunohistochemical study for MMR proteins and ISH study for EBV evaluation are feasible and cost-effective methods.
  41 in total

1.  Chemosensitivity and survival in gastric cancer patients with microsatellite instability.

Authors:  Eiji Oki; Yoshihiro Kakeji; Yan Zhao; Rintaro Yoshida; Koji Ando; Takanobu Masuda; Kippei Ohgaki; Masaru Morita; Yoshihiko Maehara
Journal:  Ann Surg Oncol       Date:  2009-06-30       Impact factor: 5.344

2.  Up-regulation of PIK3CA promotes metastasis in gastric carcinoma.

Authors:  Ji-Fang Liu; Xin-Ke Zhou; Jin-Hui Chen; Gao Yi; He-Ge Chen; Ming-Chen Ba; Sheng-Qu Lin; Yan-Chao Qi
Journal:  World J Gastroenterol       Date:  2010-10-21       Impact factor: 5.742

3.  Tumor microsatellite instability in early onset gastric cancer.

Authors:  Julinor Bacani; Rhonda Zwingerman; Nando Di Nicola; Samantha Spencer; Trish Wegrynowski; Kyle Mitchell; Kazuko Hay; Mark Redston; Eric Holowaty; David Huntsman; Aaron Pollett; Robert Riddell; Steven Gallinger
Journal:  J Mol Diagn       Date:  2005-10       Impact factor: 5.568

4.  Lymphocyte-rich gastric cancer: associations with Epstein-Barr virus, microsatellite instability, histology, and survival.

Authors:  Karen L Grogg; Christine M Lohse; V Shane Pankratz; Kevin C Halling; Thomas C Smyrk
Journal:  Mod Pathol       Date:  2003-07       Impact factor: 7.842

5.  Revised Bethesda Guidelines for hereditary nonpolyposis colorectal cancer (Lynch syndrome) and microsatellite instability.

Authors:  Asad Umar; C Richard Boland; Jonathan P Terdiman; Sapna Syngal; Albert de la Chapelle; Josef Rüschoff; Richard Fishel; Noralane M Lindor; Lawrence J Burgart; Richard Hamelin; Stanley R Hamilton; Robert A Hiatt; Jeremy Jass; Annika Lindblom; Henry T Lynch; Païvi Peltomaki; Scott D Ramsey; Miguel A Rodriguez-Bigas; Hans F A Vasen; Ernest T Hawk; J Carl Barrett; Andrew N Freedman; Sudhir Srivastava
Journal:  J Natl Cancer Inst       Date:  2004-02-18       Impact factor: 13.506

6.  Microsatellite instability in gastric cancer is associated with better prognosis in only stage II cancers.

Authors:  Stefania Beghelli; Giovanni de Manzoni; Stefano Barbi; Anna Tomezzoli; Franco Roviello; Carmela Di Gregorio; Carla Vindigni; Laura Bortesi; Alice Parisi; Luca Saragoni; Aldo Scarpa; Patrick S Moore
Journal:  Surgery       Date:  2006-03       Impact factor: 3.982

7.  Gastric cancer with high-level microsatellite instability: target gene mutations, clinicopathologic features, and long-term survival.

Authors:  Mario Falchetti; Calogero Saieva; Ramona Lupi; Giovanna Masala; Piera Rizzolo; Ines Zanna; Ketty Ceccarelli; Francesco Sera; Renato Mariani-Costantini; Gabriella Nesi; Domenico Palli; Laura Ottini
Journal:  Hum Pathol       Date:  2008-04-28       Impact factor: 3.466

8.  A combined histologic and molecular approach identifies three groups of gastric cancer with different prognosis.

Authors:  Enrico Solcia; Catherine Klersy; Luca Mastracci; Paola Alberizzi; Maria Elena Candusso; Marta Diegoli; Francesca Tava; Roberta Riboni; Rachele Manca; Ombretta Luinetti
Journal:  Virchows Arch       Date:  2009-08-12       Impact factor: 4.064

9.  Clinicopathologic characteristics and outcomes of gastric cancers with the MSI-H phenotype.

Authors:  Hyung Min Seo; Yeon Soo Chang; Sun Hyung Joo; Youn Wha Kim; Yong-Koo Park; Sung Wha Hong; Suk-Hwan Lee
Journal:  J Surg Oncol       Date:  2009-03-01       Impact factor: 3.454

10.  Distinct clinical features and outcomes of gastric cancers with microsatellite instability.

Authors:  Hye Seung Lee; Seung Im Choi; Hyeon Kook Lee; Hee Sung Kim; Han-Kwang Yang; Gyeong Hoon Kang; Yong Il Kim; Byung Lan Lee; Woo Ho Kim
Journal:  Mod Pathol       Date:  2002-06       Impact factor: 7.842

View more
  13 in total

1.  Integrative immune transcriptomic classification improves patient selection for precision immunotherapy in advanced gastro-oesophageal adenocarcinoma.

Authors:  Manuel Cabeza-Segura; Valentina Gambardella; Francisco Gimeno-Valiente; Juan Antonio Carbonell-Asins; Lorena Alarcón-Molero; Arturo González-Vilanova; Sheila Zuñiga-Trejos; Pilar Rentero-Garrido; Rosana Villagrasa; Mireia Gil; Ana Durá; Paula Richart; Noelia Alonso; Marisol Huerta; Susana Roselló; Desamparados Roda; Noelia Tarazona; Carolina Martínez-Ciarpaglini; Josefa Castillo; Andrés Cervantes; Tania Fleitas
Journal:  Br J Cancer       Date:  2022-10-17       Impact factor: 9.075

Review 2.  Biomarkers for Precision Treatment in Gastric Cancer.

Authors:  Angelica Petrillo; Elizabeth C Smyth
Journal:  Visc Med       Date:  2020-09-25

3.  Amplification of the human epidermal growth factor receptor 2 (HER2) gene is associated with a microsatellite stable status in Chinese gastric cancer patients.

Authors:  He Huang; Zhengkun Wang; Yi Li; Qun Zhao; Zhaojian Niu
Journal:  J Gastrointest Oncol       Date:  2021-04

4.  Clinicopathological characteristics of Epstein-Barr virus and microsatellite instability subtypes of early gastric neoplasms classified by the Japanese and the World Health Organization criteria.

Authors:  Hiroki Tanabe; Yusuke Mizukami; Hidehiro Takei; Nobue Tamamura; Yuhi Omura; Yu Kobayashi; Yuki Murakami; Takehito Kunogi; Takahiro Sasaki; Keitaro Takahashi; Katsuyoshi Ando; Nobuhiro Ueno; Shin Kashima; Sayaka Yuzawa; Kimiharu Hasegawa; Yasuo Sumi; Mishie Tanino; Mikihiro Fujiya; Toshikatsu Okumura
Journal:  J Pathol Clin Res       Date:  2021-03-22

5.  Deep Targeted Sequencing and Its Potential Implication for Cancer Therapy in Chinese Patients with Gastric Adenocarcinoma.

Authors:  Pengfei Yu; Yusheng Wang; Yanfei Yu; Aodi Wang; Ling Huang; Yuan Zhang; Wenjing Liu; Haiyan Wu; Ming Yao; Yi-An Du; Xiangdong Cheng
Journal:  Oncologist       Date:  2021-02-08

6.  Clinicopathological Significance of EBV-Infected Gastric Carcinomas: A Meta-Analysis.

Authors:  Jung-Soo Pyo; Nae-Yu Kim; Dong-Wook Kang
Journal:  Medicina (Kaunas)       Date:  2020-07-13       Impact factor: 2.430

7.  Association between Epstein-Barr virus infection and gastric cancer: a systematic review and meta-analysis.

Authors:  Ahmad Tavakoli; Seyed Hamidreza Monavari; Farid Solaymani Mohammadi; Seyed Jalal Kiani; Saber Armat; Mohammad Farahmand
Journal:  BMC Cancer       Date:  2020-06-01       Impact factor: 4.430

8.  Molecular Classification of Gastric Cancer among Alaska Native People.

Authors:  Holly A Martinson; Dominic Mallari; Christine Richter; Tsung-Teh Wu; James Tiesinga; Steven R Alberts; Matthew J Olnes
Journal:  Cancers (Basel)       Date:  2020-01-13       Impact factor: 6.639

Review 9.  Novel Biomarkers for Prediction of Response to Preoperative Systemic Therapies in Gastric Cancer.

Authors:  Alessandro Cavaliere; Valeria Merz; Simona Casalino; Camilla Zecchetto; Francesca Simionato; Hayley Louise Salt; Serena Contarelli; Raffaela Santoro; Davide Melisi
Journal:  J Gastric Cancer       Date:  2019-11-13       Impact factor: 3.720

10.  Clinical characteristics and prognostic significance of TCGA and ACRG classification in gastric cancer among the Chinese population.

Authors:  Qiang Wang; Qi Xie; Yang Liu; Honghai Guo; Yingchun Ren; Jianke Li; Qun Zhao
Journal:  Mol Med Rep       Date:  2020-05-22       Impact factor: 2.952

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.