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Gene expression analyses determine two different subpopulations in KIT-negative GIST-like (KNGL) patients

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Oncotarget. 2018; 9:17576-17588. https://doi.org/10.18632/oncotarget.24799

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David S. Moura, Rafael Ramos, Antonio Fernandez-Serra, Teresa Serrano, Julia Cruz, Ramiro Alvarez-Alegret, Rosa Ortiz-Duran, Luis Vicioso, Maria Luisa Gomez-Dorronsoro, Xavier Garcia del Muro, Javier Martinez-Trufero, Jordi Rubio-Casadevall, Isabel Sevilla, Nuria Lainez, Antonio Gutierrez, Cesar Serrano, Maria Lopez-Alvarez, Nadia Hindi, Miguel Taron, José Antonio López-Guerrero and Javier Martin-Broto _

Abstract

David S. Moura1, Rafael Ramos2, Antonio Fernandez-Serra3, Teresa Serrano4, Julia Cruz5, Ramiro Alvarez-Alegret6, Rosa Ortiz-Duran7, Luis Vicioso8, Maria Luisa Gomez-Dorronsoro9, Xavier Garcia del Muro10, Javier Martinez-Trufero11, Jordi Rubio-Casadevall12, Isabel Sevilla13, Nuria Lainez14, Antonio Gutierrez15, Cesar Serrano16, Maria Lopez-Alvarez1, Nadia Hindi1,17, Miguel Taron1, José Antonio López-Guerrero3 and Javier Martin-Broto1,17

1Institute of Biomedicine of Sevilla (IBiS, HUVR, CSIC, University of Sevilla), Sevilla, Spain

2Pathology Department, Son Espases University Hospital, Palma, Illes Baleares, Spain

3Laboratory of Molecular Biology, Valencian Oncologic Institute, Valencia, Spain

4Pathology Department, Bellvitge University Hospital, IDIBELL, Barcelona, Spain

5Pathology Department, Valencian Oncologic Institute, Valencia, Spain

6Pathology Department, Miguel Servet University Hospital, Zaragoza, Spain

7Pathology Department, Josep Trueta University Hospital, Girona, Spain

8Pathology Department, Virgen de la Victoria University Hospital, Malaga, Spain

9Pathology Department, Hospital Complex of Navarra, Pamplona, Spain

10Medical Oncology Department, Institut Català d'Oncologia, IDIBELL, Universitat de Barcelona, Barcelona, Spain

11Medical Oncology Department, Miguel Servet University Hospital, Zaragoza, Spain

12Medical Oncology Department, Catalan Oncologic Institute, Josep Trueta University Hospital, Girona, Spain

13Medical Oncology Department, Virgen de la Victoria University Hospital, Malaga, Spain

14Medical Oncology Department, Hospital Complex of Navarra, Pamplona, Spain

15Hematology Department, Son Espases University Hospital, Palma, Illes Baleares, Spain

16Medical Oncology Department, Vall d'Hebron Institute of Oncology, Vall d'Hebron University Hospital, Barcelona, Spain

17Medical Oncology Department, University Hospital Virgen del Rocio, Sevilla, Spain

Correspondence to:

Javier Martin-Broto, email: [email protected]

José Antonio López-Guerrero, email: [email protected]

Keywords: KNGL; miRNA221/222 cluster; KIT; DOG1; IGF1R

Received: July 27, 2017     Accepted: February 28, 2018     Published: April 03, 2018

ABSTRACT

Introduction: There are limited findings available on KIT-negative GIST-like (KNGL) population. Also, KIT expression may be post-transcriptionally regulated by miRNA221 and miRNA222. Hence, the aim of this study is to characterize KNGL population, by differential gene expression, and to analyze miRNA221/222 expression and their prognostic value in KNGL patients.

Methods: KIT, PDGFRA, DOG1, IGF1R, MIR221 and MIR222 expression levels were determined by qRT-PCR. We also analyzed KIT and PDGFRA mutations, DOG1 expression, by immunohistochemistry, along with clinical and pathological data. Disease-free survival (DFS) and overall survival (OS) differences were calculated using Log-rank test.

Results: Hierarchical cluster analyses from gene expression data identified two groups: group I had KIT, DOG1 and PDGFRA overexpression and IGF1R underexpression and group II had overexpression of IGF1R and low expression of KIT, DOG1 and PDGFRA. Group II had a significant worse OS (p = 0.013) in all the series, and showed a tendency for worse OS (p = 0.11), when analyzed only the localized cases. MiRNA222 expression was significantly lower in a control subset of KIT-positive GIST (p < 0.001). OS was significantly worse in KNGL cases with higher expression of MIR221 (p = 0.028) or MIR222 (p = 0.014).

Conclusions: We identified two distinct KNGL subsets, with a different prognostic value. Increased levels of miRNA221/222, which are associated with worse OS, could explain the absence of KIT protein expression of most KNGL tumors.


INTRODUCTION

Gastrointestinal stromal tumors (GIST) constitute the most frequent type of digestive tract sarcoma, with an incidence of 10 to 14 cases per million people, each year [13]. These tumours have mesenchymal origin and represent a morphological and biological continuum, from incidentally discovered microGIST (<10 mm) to clinically detectable gist [4]. Nonetheless and despite clinico-pathological distinct features, most GISTs share similar precocious genetic alterations, including KIT or PDGFRA gain-of-function driver mutations [5]. Indeed, numerous studies have confirmed that most GISTs harbour KIT (60–85% of cases) or PDGFRA (5%–15%) mutations. Additionally, between 10 to 15% of GISTs lack detectable mutations in both receptors, being these cases considered GIST WT for KIT and PDGFRA [6]. Accordingly, it seems reasonable that other unknown or barely characterized molecular pathways may be implicated in GIST development [710]. The description of new potential therapeutic targets in KIT-negative GIST-like (KNGL), might lead to novel molecular targeted therapies, as it is applied nowadays in KIT/ PDGFRA-driven GISTs [5, 11].

The positive immunostaining of KIT (CD117) has been a pathologic cornerstone for GIST diagnosis, since its redefinition in 2001 [12, 13]. Apart from mutations in disease-driven KIT gene, the regulatory molecular mechanisms of KIT expression in GISTs are not yet fully understood. The overexpression of KIT is rarely due to gene amplification, but may be related to dysregulation of KIT gene transcription [14]. Nonetheless, less than 5% of these cases show histopathological features of GIST, but with negative or very weak immunohistochemical KIT protein expression - KNGL tumors [15]. Within KNGL tumors two different subgroups were described according to pathologic and molecular findings: 1) DOG1 positive cases, which are predominantly gastric and carry more frequently PDGFRA mutations; and 2) DOG1 negative cases, that are either gastric or intestinal and with predominant WT genotype [16, 17].

Gene expression is also regulated by epigenetic mechanisms such as microRNAs (miRNAs). MiRNAs are small (17–27 nt) non-coding single stranded RNA molecules that negatively regulate gene expression by binding to imperfect complementary sites within the 3′ untranslated region (UTR) of their mRNA target at the post-transcriptional level [18]. In this sense, miRNA221/222 cluster members have been described to be relevant in the regulation of KIT expression [19]. Bioinformatic analysis suggested that miRNA221 and miRNA222 targeted the 3′ UTR of KIT mRNA, downregulating KIT protein expression, which inhibited normal erythropoiesis and erythroleukemic cell growth [19]. Based on these observations our group had shown the prognostic relevance of these miRNAs, in a KNGL series, as well as, its correlation with KIT expression [20]. At the same time, Koelz and colleagues published in 2011, that miRNA221/222 expression levels were significantly overexpressed in KNGL, indicating both publications that this miRNA cluster acts as a regulator of KIT expression. Nevertheless, no correlation was observed between the expression of miRNA221 and miRNA222 and histomorphological parameters, tumor risk grade, or KIT mutation status in the past.

With the aim to better characterize this KNGL patient, an expression analysis of genes involved in both regulation of KIT expression: MIR221 and MIR222 [21]; as well as in the pathogenesis of GIST: KIT, PDGFRA, DOG1 [22, 23] and IGF1R and KDR [24, 25], along with a KIT and PDGFRA mutational screening and pathologic review was performed. The prognostic impact of these alterations was also analyzed.

RESULTS

Demographics and pathologic features

A cohort of 33 (5.2%) KNGL cases, derived from a double-blinded reviewed collection of 624 GIST and that were included in the on-line Registry of the Spanish Group for Research on Sarcomas (GEIS), was evaluated in this study. One case was dropped out because the patient was diagnosed with GIST and died after undergoing to urgent laparotomy due to acute peritonitis secondary to gastric perforation. The male: female ratio was 1:1 with a median age of 61 years-old (range: 25–74). All patients were diagnosed between 1992 and 2003 and GIST morphology validated by two independent expert pathologists.

Median follow-up was of 92 months and a total of 14 events of metastases were registered. Five cases were metastatic at diagnosis. Median size of primary tumours was 5 cm (ranging from 0.5 to 20 cm) and primary tumour locations were stomach (n = 15), small-bowel (n = 10), rectum (n = 4), colon (n = 1) and omentum (n = 2). Most of the patients (84.4%) were symptomatic at the time of diagnosis and the main symptoms leading to diagnosis was distributed as follows: constitutional syndrome related with anemia (5 pts), high digestive hemorrhage and gastrointestinal perforation (7 pts), abdominal pain (11 pts) and others (4 pts). The median mitotic count per 50 high-power field (HPF) was 5.5 (range 0-200/ HPF) and among the 32 cases analyzed, 14 showed an epithelioid histology (43.8%), 5 spindle cell (15.6%), 5 mixed spindle cell and epithelioid (15.6%), and 8 showed pleomorphic histology (25.0%). Of 32 cases 20 patients (62.5%) showed negative KIT expression, whereas 12 subjects (37.5%) displayed very weak KIT expression (≤ 10% of cells express KIT) (Supplementary Figure 1). All the cases included were tested for KIT in more than one paraffin block (median 60% of all tumour; range 16%-100%), avoiding the potential heterogeneity of KIT expression in GIST samples. Demographic, clinical and pathologic characteristics of KNGL cases are represented in Table 1.

Table 1: Demographics and clinical-pathologic information

Age: median (range)

61 (25–74)

Sex: male/female (%)

16 (50%)/16 (50%)

Median follow-up (months)

92

Median size of primary tumors (cm; range)

5 (0.5–20)

Median mitotic count (/50HPF) (range)

5.5 (0–200)

Primary tumor presentation:

Localized (%)

27 (84%)

Metastatic (%)

5 (16%)

Primary tumor site:

Stomach (%)

15 (47%)

Small-bowel (%)

10 (31%)

Rectum (%)

4 (13%)

Colon (%)

1 (3%)

Omentum (%)

2 (6%)

Metastatic events (%)

14 (44%)

Subtype:

Epithelioid (%)

14 (44%)

Others (%)

18 (56%)

KIT Expression:

≤10%

12 (37.5%)

Absolute negative

20 (62.5%)

Genotype:

Wild type

18 (56%)

KIT mutation

7 (22%)

PDGFRA mutation

7 (22%)

Genotype

Mutational analysis is displayed in Table 1. No KIT and PDGFRA mutations were detected in 18 (56%) cases (WT). Seven patients (22%) displayed a KIT mutation, being 4 in exon 11: g.558L>R missense mutation, an interstitial deletion affecting codons from 552 to 559 (g.552_559del), a deletion between codons 559 and 565 (g.559_565del) plus a g.558L>N missense mutation, and a g.628S>N missense mutation; one in exon 13, another in exon 17 and other, a complex mutation involving part of intron 11. Moreover, 7 KNGL (22%) showed a PDGFRA mutation, six in PDGFRA exon 18 (two g842D>V and one g.842D>Y kinase domain mutations, one deletion 848-851 (g.848_851del) plus a missense mutation g.852D>E, one deletion 849-852 (g.849_852del), and one g.827A>T missense mutation) and 1 case in exon 12 (g.561V>D juxtamembrane domain mutation).

Eighteen cases were negative for KIT and PDGFRA mutations and among them 5 cases with pleomorphic histology and 2 with fusocellular histology displayed absolute negative expression of KIT and DOG1. Additional molecular and clinical review was performed to discard dedifferentiated liposarcoma (pleomorphic histology) and desmoid tumor (fusocellular histology) in these cases. Amplification of MDM2 has been described in a small percentage of GIST cases (3.0% to 5.3%) and it is associated with clinical and histological malignancy in this population [26, 27]. Notwithstanding, we tested all the 5 pleomorphic cases for MDM2 amplification and expression, by FISH and qRT-PCR, respectively (Supplementary Figure 2). Amplification of MDM2 was detected in one case, by FISH, and by qRT-PCR, the same case showed moderate expression, compared with a dedifferentiated liposarcoma positive control, of both MDM2 and CDK4, a gene well known to be amplified in dedifferentiated liposarcoma and described to be not amplified in GIST [27]. Clinical review discarded dedifferentiated liposarcoma of this case. Neither the radiological appearance, nor the tumor location indicated a dedifferentiated liposarcoma. The intra-peritoneal primary location (large intestine) is not associated with primary dedifferentiated liposarcoma and the typical transition between the well differentiated (lipomatous) and dedifferentiated areas was not detected neither in CAT scan nor in histological review of the tumor. On the other hand, desmoid tumor was discarded in both fusocellular histology cases. These cases showed cytoplasmic β-catenin location and it was not detected any mutation in the CTNNB1 gene (Supplementary Figure 3).

Survival analysis

Twenty-seven KNGL patients, with localized disease at diagnosis, were included in the univariate analysis with a median follow-up of 92 months (Table 2). Gastric location of the primary tumor versus other locations (p = 0.019) and PDGFRA mutations versus WT or KIT mutated (p = 0.043) were related with a significantly better disease-free survival (DFS). No differences were observed for DFS at seven years, among the sub-groups concerning cellularity, size, and number of mitotic figures, mutations in KIT exon 11 and histology. Moreover, tumors were assigned into risk groups according to their pathologic features. No differences were detected in DFS for Miettinen or Fletcher’s risk groups. On the other hand, two factors significantly influenced a worse OS: non-gastric location (p = 0.036), age higher than 60 years (p = 0.03).

Table 2: Univariate Survival Analysis1

Variable

DFS at 7 years (95% CI)

p

OS at 7 years (95% CI)

p

Miettinen:

0.21

0.49

Low (n = 13)

67% (35–98)

64% (36–93)

Intermediate (n = 3)

100%

100%

High (n = 11)

54% (25–84)

70% (42–98)

Fletcher:

0.23

0.34

Low (n = 11)

56% (17–95)

70% (41–999)

Intermediate (n = 4)

100%

100%

High (n = 12)

58% (30–86)

73% (46–99)

Cellularity:

0.24

0.47

Normal (n = 17)

76% (52–100)

75% (53–96)

High (n = 10)

50% (19–81)

55% (24–82)

Size (cm):

0.82

0.85

0-6 (n = 16)

66% (38–94)

73% (51–96)

6-10 (n = 2)

67% (13–100)

67% (13–100)

>10 (n = 9)

62% (29–96)

86% (60–100)

Number of Mitosis:

0.064

0.2

0-10 MPF (n = 18)

79% (57–100)

82% (64–100)

>10 MPF (n = 9)

44% (12–77)

62% (29–96)

Location:

0.019

0.036

Gastric (n = 15)

83% (61–100)

91% (74–100)

Others (n = 12)

45% (16–75)

64% (36–92)

Age:

0.39

0.03

0-60 years (n = 14)

70% (45–95)

92% (78–100)

>60 years (n = 12)

56% (24–89)

55% (24–85)

Diagnostic Delay (Months):

0.35

0.85

0-1 (n = 14)

61% (36–86)

82% (63–100)

>1 (n = 13)

75% (45–100)

67% (36–97)

KIT Exon 11 Mutated2:

0.88

0.71

No (n = 24)

50% (1–99)

75% (32–100)

Yes (n = 3)

65% (43–88)

77% (58–97)

KIT Expression:

0.52

0.3

≤10% (n = 16)

68% (37–99)

81% (57–100)

Absolute negative (n = 11)

62% (36–89)

73% (51–96)

Subtype:

0.72

0.15

Epithelioid (n = 14)

69% (44–95)

92% (78–100)

Others (n = 13)

61% (31–91)

57% (28–86)

Expression group3:

0.19

0.11

I (n = 13)

83% (62–100)

82% (59–100)

II (n = 14)

49% (20–78)

70% (45–95)

Mutations:

0.043

0.45

PDGFRA (n = 7)

100%

100%

Others (WT and KIT) (n = 20)

54% (31–78)

76% (57–94)

1Localized disease at diagnosis; 2 Mutations affecting codon 557 and/ or 558 3I – KIT/ PDGFR/ DOG1 positive and II – IGF1R positive

Gene expression analysis

All the 32 cases were included in gene expression analysis. For gene expression analyses, five genes were selected based on their relevance on GIST pathology (i.e. KIT, PDGFRA and DOG1) or due to their importance in angiogenesis and the reasonable efficiency of anti-angiogenic therapy, such as pazopanib and sunitinib, in GIST (i.e. IGF1R and KDR) [28].

Unsupervised hierarchical cluster analyses obtained from KIT, PDGFRA, DOG1, IGF1R and KDR gene expression data identified two distinct groups (Figure 1): Group I (13 patients) had overexpression of KIT (23.46 median fold), DOG1 (111.97 median fold) and PDGFRA (2.96 median fold), and underexpression of IGF1R (0.44 median fold); Group I cases had predominance of epithelioid features, gastric location, DOG1 positive immunostaining (Supplementary Figure 1) and PDGFRA mutations. Group II (19 patients) had a higher expression of IGF1R (0.98 median fold), and a lower expression of KIT (1.76 median fold), DOG1 (2.02 median fold) and PDGFRA (0.26 median fold); most cases were non-gastric with DOG1 negative immunostaining and KIT mutated or WT. Expression fold of KDR was similar among both groups (3.39 median fold in Group I and 2.96 median fold in Group II). Group I and II characteristics are compared in Table 3. Analysis of survival between the two expression groups showed that Group II had significant worse prognosis for OS (p = 0.013), but not for DFS (0.19), compared to Group I (Figure 2). Survival analysis taking into consideration only the sub-group of KIT and PDGFRA mutated cases showed a trend to a worse OS (p = 0.123) and DFS (p = 0.099) (Supplementary Figure 4) of Group II compared to Group I.

Clustering

Figure 1: Clustering analyses according to RNA level expression. Group I (13 cases) is characterized by an overexpression of KIT, DOG1 and PDGFRA, and underexpression of IGF1R. Group II (19 cases) is characterized by an overexpression of IGF1R. In this group KIT, DOG1 and PDGFRA are clearly underexpressed. KDR expression was similar between both groups. Numbers in green indicate wild type genotype.

Table 3: Differences in pathologic, mutational and mRNA levels in gene expression groups

src="https://www.oncotarget.com/index.php?journal=oncotarget&page=article&op=viewFile&path%5B%5D=24799&path%5B%5D=77770&path%5B%5D=346527"

N/A: Not Available. : Median.

Figure

Figure 2: Kaplan-Meyer estimation of overall survival (A) and disease-free survival (B) between gene expression groups. Group I show overexpression of KIT, DOG1 and PDGFRA, and low levels of IGF1R. Group II shows an inversed gene expression pattern, overexpressing IGF1R and underexpressing KIT, DOG1 and PDGFRA. Group I has better overall survival (p = 0.013), compared with Group II.

MiRNA221 and miRNA222 expression

Nine additional KIT positive cases, by immunohistochemistry, were included in the study to compare the miRNAs expression levels with KNGL cases. Expression of both MIR221 and MIR222 was similar between gene expression groups I and II (Table 3). However, the expression of MIR221 and MIR222 was significantly lower in the KIT positive cases compared with this KNGL series (Figure 3A and 3D, respectively): for miRNA221 being 0.59 in KNGL vs. 0.018 in KIT positive control group, p = 0.057; and for miRNA222 38.26 vs. 0.29, p < 0.001. Likewise, it seems to be an inverse correlation between KIT expression levels and MIR221 (Spearman’s ρ = –0.447; p ≤ 0.05) or MIR222 (Spearman’s ρ = –0.419; p ≤ 0.05) in KNGL series (Table III). Additionally, a correlation between miRNA222 expression levels and the mutational status of KNGL has also been observed (Supplementary Figure 5), in the sense that, WT tumors show overexpression of MIR222, compared with the mutated cases (p = 0.034). Interestingly, the OS was significantly worse for GIST cases with higher MIR221 (p = 0.034) or MIR222 (p = 0.026) expression, suggesting a potential prognostic value for these two miRNAs in KNGL population (Figure 3B and 3E, respectively). Yet, no association was detected between DFS and MIR221 (p = 0.17) or MIR222 (p = 0.24) expression in the same series (Figure 3C and 3F, respectively). On the other hand, univariate analysis showed that high expression of MIR221 was associated with a gastric location (p = 0.038) and a higher number of mitosis per 50 HPF (p = 0.044), whereas cases with high expression of MIR222 were related with complete negative expression of KIT (p = 0.018). MIR222 was also significantly expressed in Group II (p = 0.046) (Supplementary Table 1).

MIR212

Figure 3: MIR212 and MIR222 expression levels and Kaplan-Meyer estimation of overall or disease-free survival, regarding miRNAs expression levels. (A) Absolute expression levels of MIR221 in KNGL and KIT positive GIST cases (positive control). (B) Overall survival and (C) Disease free survival considering MIR221 gene expression. (D) Absolute expression levels of MIR222 in KNGL and KIT positive GIST cases. (E) Overall survival and (F) Disease-free survival concerning MIR222 gene expression. Error bar represents standard error. *p ≤ 0.05, **p ≤ 0.005 and ***p ≤ 0.0005.

DISCUSSION

GISTs represent a solid tumour model for molecular targeted therapy having approved different tyrosine kinase inhibitors for three lines of treatment. Usually, these tumours arise from driver-mutations in KIT or PDGFRA genes [29] and it is nowadays widely accepted that KIT protein expression is a hallmark of GIST. Nevertheless, less than 5% of GIST cases lack or slightly express KIT protein by immunohistochemistry (IHC) [15, 17] which indicates that some unknown mechanisms may be underlying GIST pathogenesis and/ or regulating KIT expression.

The hierarchical cluster analyses obtained from our KNGL series, distinguished two completely separated groups depending on the expression of KIT, PDGFRA, DOG1, and IGF1R. Group I was characterized by the overexpression of KIT, DOG1 and PDGFRA, and low expression of IGF1R, while Group II showed a completely different expression profile with overexpression of IGF1R and low expression of KIT, DOG1 and PDGFRA. IGF1R is normally overexpressed in WT GISTs [28, 30], independently of copy number abnormalities or activating mutations [31], and IGF1R pathway seems to be involved in the differentiation of interstitial cells of Cajal (GIST precursor cell) immature into mature interstitial cells of Cajal [32], as well as in GIST pathogenesis and development [25, 32] and imatinib resistance [25]. This could indicate that in our KNGL series, cases overexpressing IGF1R may be associated with a more stem-like phenotype. Besides, overexpression of IGF1R and its respective ligands IGF1 and IGF2 seems to be prognostic factors for relapse in operated high-risk GIST patients [33]. Similar results were obtained in our study in the KNGL series, where Group II with IGF1R mRNA overexpression was associated with worst OS. Nevertheless, conflicting results had been also published [34, 35]. Yet, it is necessary to point out that our results are based on IGF1R genomic analysis, rather than protein evaluation by IHC, which may justify the lack of correlation between expression and survival. Also, it is critical to consider that our series includes only KNGL patients.

Group I cases were predominantly epithelioid gastric cases, with DOG1 positive immunostaining and PDGFRA mutations, whereas Group II series were mostly non-gastric with DOG1 negative immunostaining and KIT mutated or WT. These results are in line with previous published data, where two distinct subsets of KNGL were described, depending on DOG1 immunostaining. DOG1 positive cases were described to be mainly gastric and associated with PDGFRA mutations and DOG1 negative cases were described to be gastric and/ or intestinal and usually WT [16]. Remarkably, negative DOG-1 protein expression seems to be an independent prognostic factor for shorter OS [34, 36]. Similar results come out in our study, since Group II (negative DOG1 immunostaining) showed worse prognosis for OS. Likewise, GIST histological type has also been described to have a significant impact in GIST patient’s prognosis [37, 38], however with inconsistent results [39, 40]. In a report with 48 patients, the 5-year recurrence-free survival rate was significantly better among patients with spindle cell as compared to epithelioid or mixed histology in a series of KIT-expressing series [37]. Yet, univariate survival analysis showed that within our KNGL series, histological type was not a prognostic biomarker for survival, indicating that both DFS and OS related with GIST histological type may depend on KIT protein expression. Also, Group I features seemed to correspond with the typical features and behaviour of PDGFRA-driven GISTs.

Our results demonstrated that miRNA222 may be relevant in the regulation of KIT protein expression, since it is overexpressed in KNGL series, compared to GIST cases. MIR222 was significantly overexpressed in our KNGL population, whereas MIR221 showed a trend for signification. These results are in line with previous published data, wherein it was demonstrated, by luciferase assay, that both miRNA221 and miRNA222 were direct regulators of KIT expression, targeting the 3′ UTR of KIT mRNA [19, 41], and that the levels of this two miRNAs were significantly lower in KIT-expressing GISTs, compared to KIT-negative GISTs [42, 43]. More importantly, our study demonstrated for the first time, that low levels of either miRNA221 or miRNA222 are relevant prognostic biomarkers for better OS, in KNGL patients. Activating mutations in KIT are present in about 80% of GIST [11, 40, 44] and lower expression of miRNA221 and miRNA222 may play a role in further enhancing KIT oncogenic influence on the cell in these cases. Yet, in KNGL cases, the role of KIT in tumour pathogenesis may be limited [10, 45], which indicates that the prognostic value of the miRNAs may also be by targeting other genes, besides KIT. Accordingly, targeting of cell cycle inhibitors CDKN1B (p27Kip1) and CDKN1C (p57Kip2) [4648], or even of the tumour suppressor protein PTEN [49], by miRNA221 and miRNA222 may help understand the worst survival prognosis, when each one of the miRNAs is overexpressed in KNGL context. Besides, it is also important to take notice the association between miRNA221 overexpression and a tendency for a higher number of mitotic figures and, the higher levels of miRNA222 in Group II, overexpressing IGF1R. Thus, it seems that overexpression of miRNA221 could be associated with a higher proliferation rate in the KNGL series, whereas higher expression of miRNA222 could be associated with a more aggressive stem-like phenotype, which may justify the worst OS associated with both these miRNAs. On the other hand, the prognostic data of miRNA221/222 cluster members is in some way inconsistent with previous pre-clinical results, where the overexpression of miRNA221 and miRNA222, in GIST cell lines, inhibited cell proliferation, disturbed cell cycle progression and increased apoptosis [41, 50] by a signaling cascade that may involve KIT, AKT and BCL2 [50]. However, these experiments were performed in KIT-mutated GIST cell lines, which differ from our KNGL context, and therefore, it may explain the distinct prognostic value of miRNA221 and miRNA222 in both studies.

Overall, our results described two completely separated groups depending on the expression of 5 genes. Moreover, our work showed that the overexpression of miRNA222, and to a lesser extent of miRNA221, could explain the absence of KIT protein expression in the biggest cohort ever analysed of KNGL cases (N = 32), even when KIT mRNA is overexpressed. These miRNAs showed in KNGL patients an interesting prognostic profile. Further investigation is necessary to understand the potential targets underlying the worse prognostic value associated with miRNA221/222 cluster members’ expression.

METHODS

Patients

Cases selected for this study, from on line GIST Registry of GEIS, had to accomplish with the following criteria: Absence or weak (≤ 10%) protein KIT expression, being not received adjuvant imatinib, available paraffin embedded block at diagnostic time and minimum follow-up of 6 months. Clinical and pathological data collected in the study were: age at diagnosis, gender, performance status at diagnosis, tumor location, staging, tumor size, type of surgery, status of surgical margins, data on systemic treatment(s) if any, mitotic count, necrotic extension, tumor rupture, type of cellularity and cellular density, histologic sub-type and cellularity. The status at last follow-up (alive with or without disease, dead with or without disease), date and type of recurrence and any administered systemic treatment were obtained by follow-up from medical oncologists. Postoperative surveillance varied between different centers, but all of them consistently performed CT scan every 4–6 months, during the first 5 years after surgery. Clinical data was updated and checked on a queries-based task between data center and medical oncologists from each of participating centers. Two pathologists (R.R. and J.C.), with expertise in GIST, were in charge of the independent pathologic review of the paraffin-embedded tissue blocks (diagnostic/ surgical specimen). The potential differential diagnosis as lymphoma, neuroectodermal tumors, solitary fibrous tumors or leiomyosarcoma, dedifferentiated liposarcoma or desmoid tumor, was ruled out by both the pathologists.

Immunohistochemistry

KIT and DOG1 were selected for protein expression analysis by IHC. For all these biomarkers, correlation to clinical outcome was carried out. IHC studies were performed on formalin-fixed, paraffin-embedded tissues (FFPE) in 3- to 4-μm sections, using the following antibodies: KIT [40] (1:400; A-4502; DAKO; Copenhagen, Denmark), DOG1 [16] (1:75; Clone K9, Novocastra, Leica Biosystems, Wetzlar, Germany) and β-catenin (610153; BD Biosciences, Qume Drive, San Jose, CA, USA). For KNGL classification, pathologist required negative o very weak KIT expression (≤ 10% of cells express KIT).

Fluorescence in situ hybridization (FISH)

Histological sections of FFPE tissues were deparaffinized and hydrated in alcohols of decreasing concentrations. Antigenic recovery was performed with citrate at pH6. The tissue sections were co-denatured with proteinase K and the Vysis LSI MDM2 SO/CEP12 FISH probe (Abbott Molecular; E Touhy Ave, Des Plaines, IL, USA), at 90° C for 5 minutes, and the hybridization was done overnight at 37° C. After hybridization, the slides were washed with a 2X SSC/Tween20 solution, the nuclei counterstained with DAPI II (Abbott Molecular) and, the results were visualized in a fluorescence microscope equipped with the appropriate filters and a digital camera (Leica).

Genotype

DNA was isolated from 3- to 5-μm sections of FFPE tissues. After deparaffinization, the tumor tissue was processed with the QIAamp DNA Investigator Kit (Qiagen, Valencia, CA) according to the manufacturer´s instructions. Intronic primers were used to amplify exons 9, 11, 13 [51] and 17 [52] of KIT, exons 12 and 18 of PDGFRA [5] and exon 3 of CTNNB1 [53] by PCR in a reaction volume of 25 μL containing 5 μL of DNA, with 2,5 μL of buffer and MgCl2 25 mM and 0.5 μL of dNTP and 1.5 Units of ampliTag gold (Applied Biosystems, Foster City, Ca). PCR products were sequenced in F and R, after preheating the samples at 94° C for 6 minutes. The DNA was amplified over 40 cycles of 45 seconds of denaturation at 94° C; 1 minutes of annealing at 56° C and 1 minute of extension at 72° C, with an additional final extension step of 10 minutes. Negative controls were included in every set of amplifications. Bidirectional sequencing with specific primers was performed in an ABI 3130 xl genetic analyzer using the BigDye Terminator v3.1 kit (Applied Biosystems).

Gene expression analyses

The gene expression of KIT, PDGFRA, DOG1, KDR, IGF1R, MIR221 and MIR222 was determined by qRT-PCR, using total RNA extracted, from three 20-μm thick FFPE section, with the Recover All Total Nucleic Acid Isolation® (Ambion, Austin, USA). For the expression analysis, the following TaqMan assays were used: KIT (Hs00174029_m1), PDGFRA (Hs00998018_m1), DOG1 (Hs00216121_m1), IGF1R (Hs00609576_m1), KDR (VEGFR2) (Hs00911700_m1), MIR-221 (Hs04231481_s1) and MIR-222 (Hs04415495_s1), and MDM2 (Hs1066930_m1) and CDK4 (Hs01565683_g1). The qPCR was performed in a 7500 Fast Real Time PCR system (Applied Biosystems, Foster City, CA), with specific protocols for both quantification of mRNA and miRNA according to manufacturer´s instructions. Relative expression was calculated using the comparative Ct method (2−ΔΔCt) against universal human reference RNA (RNA pool: Universal Human Reference RNA; Agilent Technologies, Santa Clara, CA, USA). Nine KIT positive GISTs were included in gene expression analyses to compare miRNAs levels with KNGL cases.

Statistical analysis

Categorical variables were reported as relative frequencies (%). Quantitative variables were expressed as median and ranges. Comparisons between categorical variables and qualitative variables were performed with the Chi-square or Fisher exact test when appropriated, while in the case of quantitative variables the non-parametric U de Mann–Whitney test was used. OS and DFS were measured from the date of diagnosis to the final event, and were estimated according to the Kaplan-Meier method. Comparisons between the variables of interest were performed by the log-rank test. To analyze the impact on survival of MIR221 and MIR222, these variables were stratified as high or low expression groups according to the cutoff obtained using Receiver Operating Characteristics (ROC) curves. All p values reported were 2-sided, and statistical significance was defined at p = 0.05. All the statistical procedures were performed with SPSS 20.0 software.

Abbreviations

DFS: Disease-Free Survival; FFPE: Formalin-Fixed, Paraffin-Embedded; GIST: Gastrointestinal Stromal Tumor; IHC: Immunohistochemistry; KNGL: KIT-Negative GIST-Like; MPF: Mitosis per Field; OS: Overall Survival; UTR: Untranslated Region; WT: Wild Type.

Author contributions

DSM and JMB wrote the manuscript, performed the literature search and the interpretation of results. AFS performed pre-clinical experiments. JMB, MT and MLA collected and organized patient data. DSM, JMB and AG analyzed the data and built the figures. RR and JC performed the pathological review. JMB, TS, RAA, ROD, LV, MLGD, XGM, JMT, JRC, IS, NL, CS and NH enrolled patients. JMB and JALG designed the study. All authors reviewed the final version of manuscript.

ACKNOWLEDGMENTS

Authors would like to thank also Patricio Ledesma for Data Management and Ana Salinas-Villegas, Ricardo Melendez-Cadenas and Paloma Sanchez-Bustos. The authors thank the HUVR-IBiS Biobank (Andalusian Public Health System Biobank and ISCIII-Red de Biobancos PT13/0010/0056-pt17/0015/0041) for the assessment and technical support provided.

CONFLICTS OF INTEREST

JMB report grants from Ministry of Health, Social Policy and Equality of Spain through a public competitive call, during the conduct of the study; JMB reports, non-financial support from Spanish Group for Research on Sarcoma (GEIS), during the conduct of the study. XGM reports personal fees and non-financial support from Pfizer, personal fees from Lilly, Eisai, Pharmamar, and BMS, outside the submitted work. IS reports advisory role fees from Ipsen, Novartis, Bayer, Pfizer, Amgen and Merck. CS has received grants from Deciphera and Bayer, consulting fees or honorarium from Deciphera, and payment for lectures including service on speaker bureaus from Bayer Healthcare. All the others authors declare no potential conflicts of interest.

FUNDING SUPPORT

The project was funded by the Instituto de Salud Carlos III (ISCIII) - Fondo Europeo de Desarrollo Regional (FEDER), through a public competitive call (project reference PI15/01254; principal Investigator Javier Martín Broto), and the Spanish Group for Research on Sarcoma (GEIS).

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