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Erschienen in: Breast Cancer Research 1/2015

Open Access 01.12.2015 | Research article

ALK alteration is a frequent event in aggressive breast cancers

verfasst von: Abdul K. Siraj, Shaham Beg, Zeenath Jehan, Sarita Prabhakaran, Maqbool Ahmed, Azhar R.Hussain, Fouad Al-Dayel, Asma Tulbah, Dahish Ajarim, Khawla S. Al-Kuraya

Erschienen in: Breast Cancer Research | Ausgabe 1/2015

Abstract

Introduction

Breast cancer is the most common female malignancy worldwide and, despite improvements in treatment modalities, there are increased chances of recurrence and metastasis in a substantial number of cases and it remains one of the major causes of mortality among female cancer patients. Anaplastic lymphoma kinase (ALK) gene has been found to be altered in several solid and hematologic tumors. We aimed to comprehensively study the prevalence of ALK expression, and changes in copy number and translocation in a large cohort of breast cancer cases in a Middle Eastern population.

Methods

ALK protein expression was investigated by immunohistochemistry and numerical and structural variations of the ALK gene were analyzed by fluorescence in situ hybridization (FISH) in a tissue microarray format in a cohort of more than 1000 Middle Eastern breast cancers. The data were correlated with clinicopathologic parameters and other important molecular biomarkers.

Results

Immunohistochemical analysis showed ALK overexpression in 36.0 % of the breast cancer patients and gene amplification was present in 13.3 % of cases, seen by FISH analyses. ALK overexpression was significantly associated with ALK gene amplification (p = 0.0031). ALK-overexpressing tumors showed significant association with high-grade tumors (p = 0.0039), ductal histologic subtype (p = 0.0076), triple-negative phenotype (p = 0.0034), and high Ki-67 (p = 0.0001) and p-AKT (p <0.0001).

Conclusions

Immunohistochemical analysis showed ALK is overexpressed in a substantial proportion of breast cancers and possibly plays a significant role in the aggressive behavior of this cancer. Gene amplification is hypothesized to be a possible cause for a significant proportion of this overexpression. Based on these findings, a potential role for an ALK inhibitor, as a therapeutic agent targeting aggressive subtypes of breast cancer, merits further investigation.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s13058-015-0610-3) contains supplementary material, which is available to authorized users.
Abdul K. Siraj and Shaham Beg contributed equally to this work.

Competing interests

All authors declare that they have no competing interests.

Authors' contributions

AKS reviewed and analyzed the clinical data and did the critical revision of the manuscript. SB analyzed the IHC data, did statistical analysis and drafted the manuscript. SP prepared the TMA, performed the IHC screening and analyzed the data. ZJ performed the FISH experiments and analyzed FISH data, and drafted the manuscript. MA and ARH performed cell line experiments and analyzed the data. FAD, AT and DA reviewed and analyzed pathological and clinical data. KSA designed the study, analyzed the data and drafted the manuscript. All authors read and approved the final manuscript.
Abkürzungen
ALCL
anaplastic large cell lymphoma
ALK
anaplastic lymphoma kinase
ER
estrogen receptor
FISH
fluorescence in situ hybridization
HER2
human epidermal growth factor receptor 2
IHC
immunohistochemistry
LINE1
long interspersed element 1
PR
progesterone receptor
qRT-PCR
quantitative real-time polymerase chain reaction
TNBC
triple-negative breast cancer

Introduction

Breast cancer is a heterogeneous group of diseases based on morphological features, molecular profiles, response to treatment and clinical outcome [1]. Every year, approximately 1.5 million women around the world are diagnosed with breast cancer [2]. It is the most common malignancy diagnosed among Saudi females [3] and is found to have an advanced stage, high grade and tends to affect a younger population as compared to the West [4, 5]. Despite improvement in treatment protocols and addition of new therapies, breast cancer continues to be the second leading cause of cancer mortality in women in the Western world [6]. Identification of new targeted therapy that allows progress in the management of breast cancer and improves survival is warranted.
Anaplastic lymphoma kinase (ALK), a tyrosine kinase receptor residing on chromosome 2p23 was first described in a subset of anaplastic large cell lymphoma (ALCL) patients as part of a chromosomal rearrangement with nucleophosmin as a fusion partner [7]. ALK has been reported to be translocated with other fusion partners, such as KIF5B [8], NPM1 [7], RET, ROS [9], VCL [10], TFG [11], EML4 [12] and MYH9, demonstrating its role in the pathogenesis of various cancers. The chimeric protein resulting from the fusion has lead to constitutively activated ALK tyrosine kinase [9, 10, 13]. Furthermore, other reports demonstrate additional modes of constitutively activated ALK kinase by mutations [1416] and ALK gene amplification [1719]. It has been suggested that the oncogenic role of ALK is most probably mediated via activation of tyrosine kinases that promote survival via activation of signaling pathways such as PI3-kinase/AKT [20] or by inhibition of apoptosis, thus leading to proliferation of cells. It has been demonstrated that inhibition of ALK inhibits growth of breast cancer cell lines and also tumor xenografts in mouse models [21].
ALK alterations such as increased ALK copy number, gene amplification and translocation have been shown to be present in 80 % of inflammatory breast cancer and 25 % of triple-negative breast cancers (TNBC), which are considered to be the most aggressive subtypes of breast cancers [2123]. Moreover data generated from The Cancer Genome Atlas (TCGA) database on 479 breast cancer cases has also confirmed ALK deletions and copy number variations in breast tumors [21].
These known dysregulations in the ALK gene and their potential usefulness as biomarkers in many solid tumors, like inflammatory myofibroblastic tumors [24], esophageal squamous cell carcinoma [25] breast carcinoma [18] lung adenocarcinoma [9, 26] pediatric renal cell carcinoma [10] and neuroblastoma [27], have led to the development of ALK inhibitors and highlighted their therapeutic role in early clinical trials [18, 28, 29]. Crizotinib, an orally bioavailable tyrosine kinase inhibitor, has been shown to act against ALK kinase domain and is active against ALK-expressing tumors [24, 30, 31]. These recent studies have provided evidence for the emerging role of ALK as a potential molecular marker of diagnostic and therapeutic value in breast cancer.
Thus we attempted to investigate the structural and numerical alterations of ALK by fluorescence in situ hybridization (FISH) and protein expression by immunohistochemistry (IHC) in a large cohort of Middle Eastern breast cancers. We further correlated ALK alterations with clinical data including survival analysis, pathological parameters and other molecular markers in breast cancer patients.

Methods

Patient samples and data collection

One thousand and nine patients with breast cancer diagnosed between1990 and 2011 were selected from the files of the King Faisal Specialist Hospital and Research Centre (KFSHRC). The patients included in this study had their diagnosis, treatment and follow-up care in the Department of Surgical Oncology at KFSHRC. The histologic subtype of each breast tumor sample was determined according to World Health Organization (WHO) criteria. Waiver of consent was obtained for the study from the Institutional Review Board (IRB) and Research Ethics Committee (REC) of KFSHRC under Project RAC number 2040004 on breast cancer archival clinical samples. All samples were analyzed in a tissue microarray (TMA) format.

Tissue microarray (TMA) construction

For each tumor, representative areas were selected mapped and a TMA was constructed using these mapped slides as a reference. The tissue microarrayer (Semiautomated Arrayer, CM1 Mirlacher, Neuenburg, Germany) was used and 0.6 mm diameter punches were obtained from the donor blocks. A map of the recipient block was prepared with coordinates and a number for each sample to correctly identify the tumor. The punched-out tissue cores from the donor block were inserted in the recipient block. The array blocks were incubated at 45 °C for 10 minutes to improve adhesion between cores and paraffin of the recipient block. They were cut at room temperature with a standard microtome (Thermo Shandon, Runcorn, UK) and slides were prepared using a tape-sectioning system (Instrumedics, Inc., St. Louis, MO, USA).
IHC and FISH staining were done on TMA slides cut from two replicas of TMA blocks for scoring to reduce the number of non-interpretable spots. Both the ALK IHC and ALK FISH non-interpretable spots were within the range of 10 % and the rest of the TMA spots were scored in concordance with earlier biomarker studies on TMAs [32].

Fluorescence in situ hybridization (FISH)

FISH assay for ALK amplification and rearrangement was performed on a TMA format. The probe (BAC clone) corresponding to the ALK gene was selected by browsing Ensembl Genome Browser [33] and were purchased from the Children’s Hospital Oakland Research Institute (Oakland, CA USA). The BAC clone was cultured, DNA isolated and was labeled with digoxygenin (DIG) utilizing a DNA labeling kit from Roche (Roche, Hamburg, Germany). A commercially available centromeric probe for chromosome 2; CEP2 (Abbott Molecular, Abbott Park, IL, USA) was utilized as an internal control. FISH on a breast cancer TMA was performed as previously described [32]. Tissue samples were classified with an ALK/CEP2 ratio of 1.0 as normal; between 1.0 and 2.5 as having ALK gains; 2.5 and above as amplified [17]. A minimum of 25 cells were scored in a single microarray spot for the presence of both CEP2 and ALK signals. ALK gene amplifications and gains identified by the BAC clone RP11-328L16 were also further confirmed by the break-apart probe from Vysis (Abbott Molecular, Abbott Park, IL, USA) according to the manufacturer’s instructions using a BX51 Olympus fluorescence microscope (Olympus, Richardson, TX, USA). Briefly, in a normal cell with no gain or amplification, two fused red and green signals were observed. Increase in the number of red and green fused signals were considered to be amplifications and gains. An ALK break-apart probe set was also used to check for ALK gene rearrangement on breast cancer TMA slides. ALK rearrangement was termed as positive if >15 % of tumor cells showed split red and green signals and/or single red signals in addition to a single fused signal; otherwise, the specimen was classified as ALK FISH negative [26].
FISH analysis using the ALK probe was also performed on eight breast cancer cell lines (Cal-120, HCC-1937, EFM-19, HDQ-PI, CAL-51, MT-3, MDA-MB231 and MCF-10).

DNA isolation

A Gentra DNA isolation kit (Gentra, Minneapolis, MN, USA) was utilized to extract DNA from paraffin-embedded breast cancer tissues using the manufacturer’s recommendations as described previously [34].

Quantitative real-time PCR

The quantitative PCR (qPCR) technique was utilized to validate the copy number variation of the ALK gene observed by FISH. A few representatives DNA samples from formalin-fixed paraffin-embedded samples (FFPE) of breast cancer with normal and increased ALK copy number by FISH were selected for validation by quantitative real-time (qRT) PCR. DNA content was normalized to that of long interspersed element 1 (LINE1), a repetitive element for which copy number per haploid genome is similar in both the normal DNA sample and DNA from cancer cells. Primers were designed by Primer Express software v3.0 (Applied Biosystems, Foster City, CA) to hybridize to sequences of genomic DNA for ALK. The primers to the genomic sequences for ALK and LINE1 are as follows:
  • ALK forward: CTT TGA CTT CCC CTG TGA GC
  • ALK reverse: GCA GCC TCT CCC TTA CCT C
  • LINE1 forward: CCG CTC AAC TAC ATG GAAACT G
  • LINE1 reverse: GCG TCC CAG AGATTC TGG TAT G
The PCR conditions and Light Cycler PCR protocol were used as previously described [35]. The Pfaffl method for relative quantification was used to calculate the fold change for breast cancer samples that showed normal copy number and amplification of ALK gene [36].

Immunohistochemistry

For IHC staining, TMA slides were processed and stained manually as described earlier [36]. A list of antibodies and their dilutions are listed in Table S1 in Additional file 1. For ALK IHC, primary ALK antibody (cloneD5F3; CST; 1:100 dilutions; Dako Target Retrieval pH9) was applied and incubated overnight. Visualization of the antigen antibody reaction was done using an enhanced polymer-based detection system, Envision Plus Dual Link System-HRP for 1 hour. Diaminobenzidene (Dako, Glostrup, Denmark) was employed for 5 minutes as the chromogen. A known CD30-positive ALCL case was utilized as a positive control and the negative control used was a mouse immunoglobulin G1 serum substitution for the primary antibody (ALK) [37]. The cutoff for estrogen receptor (ER) and progesterone receptor (PR) was taken as 1 % nuclear staining. Human epidermal growth factor receptor 2 (HER2) overexpression was assessed according to American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) guidelines [38]. The cutoff for high Ki67 was taken as more than 10 % nuclear staining [39]. For p-AKT immunoscoring only intensity scores were considered. Tumors with intensity 2+/3+ were considered positive and intensity 0/1+ were taken as negative [40].
For ALK IHC H-score (range 0–300) was obtained by adding the sum of scores obtained for each intensity and proportion of area stained [35]. X-tile plots were constructed for assessment of biomarker and optimization of cutoff points based on outcome as has been described earlier [41]. Breast cancers were categorized into two groups based on X-tile plots: one with complete absence (H score = 0) and the other with ALK expression (H score >0).
Two pathologists (SB and SP) independently performed IHC scoring for biomarkers and for discrepant scores consensus was established by reviewing the slides together.

Cell lysis and immunoblotting

Proteins from MDA-MB231 and MCF-12A cells were isolated as described previously [42]. Twenty micrograms of isolated proteins were separated by SDS-PAGE and transferred to polyvinylidene difluoride (PVDF) membrane (Immobilon, EMD Millipore, Billerica, MA, USA). Immunoblotting was performed using ALK (Santa Cruz Biotechnology Inc., Dallas, TX, USA) and beta-actin (Cell Signaling Technology, Boston, MA, USA) antibodies and visualized by the enhanced chemiluminescence (Amersham, Pittsburg, PA, USA) method.

Preparation of cytosolic and nuclear extract

MDA-MB231 and MCF12A cells were suspended in buffer A containing 10mM HEPES, 10mM KCl, 0.1mM EDTA, 0.1mM EGTA, 1mM DTT and the recommended amount of protease inhibitors and incubated on ice for 15 minutes. After incubation, cells were lysed with 10 % NP-40 and vortexed for 10 seconds. Cells were spun for 30 seconds at 14,000 rpm and supernatants containing nuclear-free cytosolic extracts were isolated. The remaining pellet was lysed in protein lysis buffer containing 0.4mM NaCl and nuclear extracts were isolated. Twenty micrograms of isolated proteins were separated by SDS-PAGE and transferred to polyvinylidene difluoride (PVDF) membrane (Immobilon, EMD Millipore, Billerica, MA, USA). Immunoblotting were performed using ALK and alpha-tubulin (Cell Signaling Technology, Boston, MA, USA) antibodies and visualized by the enhanced chemiluminescence (Amersham, Pittsburg, PA, USA) method.

Statistical analysis

The JMP 10.0 (SAS Institute Inc., Cary, NC, USA) software package was used for data analyses. We examined the association of TNBC with clinicopathologic parameters, biomarker expression and also performed survival analysis. Survival curves were generated using the Kaplan-Meier method with significance evaluated using the Mantel-Cox log-rank test. Risk ratio was calculated using the Cox proportional hazard model. Values of p <0.05 were considered statistically significant.

Results

Clinicopathologic data

The clinicopathologic characteristics of the 1009 breast cancer patients are summarized in Table 1. The median age at the time of surgery was 46 years (interquartile range [IQR], 39.0–54.0 years). The median length of follow-up available for surviving patients was 53.0 months (IQR, 30–77 months). The 5-year overall survival for the study population was 80 %. The distribution of tumors by histologic type was as follows: 918 infiltrating ductal carcinomas (91.0 %), 46 infiltrating lobular carcinomas (4.6 %), 16 mucinous cancers (1.6 %) and 29 (2.9 %) others. TNM staging was performed as per WHO criteria. The majority of the patients were in stage II (37.7 %) at time of diagnosis followed by stage III (30.8 %), stage IV (9.1 %) and stage 1 (7.5 %).
Table 1
Clinicopathologic variables for the breast cancer patient cohort (n = 1009)
Age
 
 Median
46.0
 Range (IQR)^
39.0–54.0
Histologic type
 
 Infiltrating ductal carcinoma
918 (91.0)
 Infiltrating lobular carcinoma
46 (4.6)
 Mucinous carcinoma
16 (1.6)
 Other subtype carcinoma
29 (2.9)
Histologic grade
 
 Well differentiated
73 (7.2)
 Moderately differentiated
484 (48.0)
 Poorly differentiated
397 (39.3)
 Unknown
55 (5.5)
Lymph node status
 
 Positive
627 (62.1)
 Negative
306(30.3)
 Unknown
76(7.5)
TNM stage
 
 I
76 (7.5)
 II
378 (37.7)
 III
314 (30.8)
 IV
91 (9.1)
 Unknown
150 (14.9)
^Interquartile range (IQR)

ALK protein expression by IHC and correlation with clinicopathologic features

Of the 1009 breast cancer cases investigated, 36.0 % (350/972) of cases showed positive staining of ALK by IHC. Thirty-seven cases were non-interpretable due to loss of tissue cores or absent tumor cells in the core. The staining pattern ranged from an intense 3+ staining in the cytoplasm and/or membrane to 2+ moderate cytoplasmic staining and no cytoplasmic staining. A small subset of breast tumors (3.2 %) showed punctate coarse granular cytoplasmic staining (Fig. 1a–d). ALK expression was found to be significantly associated with poorly differentiated tumor (p = 0.0039), infiltrating ductal carcinoma subtype (p = 0.0076) and triple-negative breast cancer (p = 0.0034); however, no association was seen with age, lymph node involvement, distant metastasis and tumor stage. ALK expression was also found to be significantly associated with Ki-67 expression (p = 0.0001) and p-AKT (p <0.0001). (Table 2, Fig. 1e,f).
Table 2
Correlation of ALK IHC with clinicopathologic parameters in breast cancer
 
Total
ALK present
ALK absent
P value
 
N
%
N
%
N
%
Total number of cases
972
 
350
36.0
622
64.0
 
Age groups
       
 <50
663
68.2
250
37.7
413
62.3
0.1044
 ≥50
309
31.8
100
32.4
209
67.6
 
Lymph nodes
       
 N0
300
32.9
108
36.0
192
64.0
0.5832
 N1
294
32.3
105
35.7
189
64.3
 
 N2
192
21.1
69
35.9
123
64.1
 
 N3
125
13.7
53
42.4
72
57.6
 
Metastasis
       
 M0
785
90.1
292
37.2
493
62.8
0.8336
 M1
86
9.9
31
36.0
55
64.0
 
Tumor stage
       
 I
75
8.9
20
26.7
55
73.3
0.0829
 II
372
44.1
135
36.3
237
63.7
 
 III
311
36.8
130
41.8
181
58.2
 
 IV
86
10.2
31
36.0
55
64.0
 
Histologic grade
       
 Well differentiated
74
7.7
21
28.4
53
71.6
0.0039
 Moderately differentiated
493
51.2
159
32.2
334
67.8
 
 Poorly differentiated
395
41.1
156
42.0
229
58.0
 
Histology
       
 Infiltrating ductal carcinoma
890
94.4
329
37.0
561
63.0
0.0076
 Infiltrating lobular
40
4.2
7
17.5
33
82.5
 
 Mucinous
13
1.4
2
15.4
11
84.6
 
Recurrence
       
 Yes
256
29.8
104
40.6
152
59.4
0.1225
 No
602
70.2
211
35.1
391
64.9
 
ER
       
 Negative
333
34.3
150
45.1
183
54.9
<0.0001
 Positive
638
65.7
200
31.3
438
68.7
 
PR
       
 Negative
412
42.5
178
43.2
234
56.8
0.0001
 Positive
558
57.5
172
30.8
386
69.2
 
Triple-negative
       
 Yes
147
15.2
69
46.9
78
53.1
0.0034
 No
822
84.8
281
34.2
541
65.8
 
HER2 FISH
       
 Amplified
275
29.0
108
39.3
167
60.7
0.2647
 Normal/gain
672
71.0
238
35.4
434
64.6
 
ALK FISH
       
 Amplified
126
13.3
61
48.4
65
51.6
0.0031
 Normal/gain
821
86.7
284
34.6
537
65.4
 
Ki-67 IHC
       
 High
818
85.8
318
38.9
500
61.1
0.0001
 Low
135
14.2
30
22.2
105
77.8
 
p-AKT
       
 Positive
212
22.6
132
62.3
80
37.7
<0.0001
 Negative
725
77.4
211
29.1
514
70.9
 
Molecular subtype
       
 HR+Her2-
460
47.4
142
30.9
318
69.1
0.0018
 HR+Her2+
232
23.9
83
35.8
149
64.2
 
 TNBC
147
15.1
69
46.9
78
53.1
 
 HR-Her2+
132
13.6
56
42.4
76
57.6
 
Survival
       
 OS 5 years
   
77.0
 
82.4
0.1212
ALK anaplastic lymphoma kinase, IHC immunohistochemistry, ER estrogen receptor, PR progesterone receptor, HER2 human epidermal growth factor receptor 2, FISH fluorescence in situ hybridization, TNBC triple-negative breast cancer, HR hormone receptor, OS overall survival
*Data was not available (NA) for some cases: Age (NA = 19), Lymph nodes (NA = 74), Metastasis (NA = 101), Stage (NA = 145), Grade (NA = 50), Histology (NA = 29), ER (NA = 1), PR (NA = 2), Triple-negative (NA = 3), HER2 FISH (NA = 25), ALK FISH (NA = 24), Ki-67 (NA = 19), and p-AKT (NA = 35)
We also performed biochemical fractionation in breast cancer cell lines using nuclear and cytoplasmic extracts and found ALK expression to be more pronounced in cytosolic fraction (Figure S1 in Additional file 2) and had comparatively more expression in the triple-negative cell line compared to the non-tumorigenic epithelial breast cell line; MCF12A (Figure S2 in Additional file 3).

ALK copy number alterations and translocations

Numerical and structural abnormalities were analyzed by FISH in our cohort of 1009 breast cancer patients. A total of 980 spots out of 1009 showed interpretable results and 29 spots were non-interpretable due to absence of interpretable signals or loss of tissue spots. A total of 13.3 % cases (130/980) showed amplification of ALK gene (Fig. 2a–d). Amplification was observed in at least 30 % of the cells analyzed. We found ALK copy number gains in 70/980 (7.1 %) cases analyzed. In the majority of these cases, gains were seen in at least 30 % of the tumor cells. We also investigated the presence of EML4-ALK fusion by FISH and found no translocation of these two genes. In addition, we also did not observe any ALK gene amplification in six breast cancer cell lines (Cal-120, EFM-19, HDQ-PI, CAL-51, MT-3, and MCF-10) analyzed, however, two cell lines (HCC-1937 and MDA-MB231) showed amplification of the ALK gene.
The FISH data on breast cancer cases were further confirmed by qPCR analysis on few selected amplified and non-amplified breast cancer samples (Fig. 2e).

Correlation of ALK gene copy number alteration and clinicopathologic features

Both ALK FISH and IHC data were available for 947/1009 cases. ALK gene amplification had a significant correlation with ALK protein expression (p = 0.0031) (Table 3). ALK gene amplification did not show any association with age, lymph node involvement, distant metastasis, molecular subtype of breast cancer and tumor stage. ALK gene amplification was significantly associated with mucinous histology (p = 0.0194) and Ki67 expression (p = 0.0129).
Table 3
Correlation of ALK FISH with clinicopathologic parameters in breast cancer
 
Total
Amplified
Non-amplified
P value
 
N
%
N
%
N
%
Total number of cases
980
 
130
13.3
850
86.7
 
Age groups
       
 <50
666
68.0
85
12.8
581
87.2
0.5018
 ≥50
314
32.0
45
14.3
269
85.7
 
Lymph nodes
       
 N0
305
33.1
38
12.5
267
87.5
0.2010
 N1
295
32.1
47
15.9
248
84.1
 
 N2
192
20.8
25
13.0
167
87.0
 
 N3
128
13.9
11
8.6
117
91.4
 
Metastasis
       
 M0
789
89.7
111
14.1
678
85.9
0.5986
 M1
91
10.3
11
12.1
80
87.9
 
Tumor stage
       
 I
77
9.0
9
11.7
68
88.3
0.7588
 II
374
43.8
57
15.2
317
84.8
 
 III
311
36.5
42
13.5
269
86.5
 
 IV
91
10.7
11
12.1
80
87.9
 
Histologic grade
       
 Well differentiated
74
7.6
7
9.5
67
90.5
0.3393
 Moderately differentiated
498
51.4
62
12.4
436
87.6
 
 Poorly differentiated
397
41.0
59
14.9
338
85.1
 
Histology
       
 Infiltrating ductal
896
94.0
124
13.8
772
86.2
0.0194
 Infiltrating lobular
44
4.6
1
2.3
43
97.7
 
 Mucinous
13
1.4
3
23.1
10
76.9
 
Recurrence
       
 Yes
257
29.7
42
16.3
215
83.7
0.1569
 No
308
70.3
77
12.7
531
87.3
 
ER*
       
 Negative
332
33.9
48
14.5
284
85.5
0.4388
 Positive
647
66.1
82
12.6
565
87.4
 
PR*
       
 Negative
408
41.9
58
14.2
350
75.8
0.4010
 Positive
566
58.1
70
12.4
496
87.6
 
Triple-negative*
       
 Yes
141
14.5
16
11.3
125
88.7
0.4848
 No
832
85.5
112
13.5
720
86.5
 
HER2 FISH*
       
 Amplified
282
29.5
48
17.0
234
83.0
0.0418
 Normal/gain
675
70.5
81
12.0
594
88.0
 
ALK IHC*
       
 Present
345
36.4
61
17.7
284
82.3
0.0031
 Absent
602
63.6
65
10.8
537
89.2
 
Ki-67 IHC
       
 High
825
86.3
117
14.2
708
85.8
0.0569
 Low
131
13.7
11
8.4
120
91.6
 
p-AKT
       
 Positive
210
22.4
31
14.8
179
85.2
0.4232
 Negative
729
77.6
92
12.6
637
87.4
 
Molecular subtype
       
 HR+Her2-
461
47.2
58
12.6
403
87.4
0.6418
 HR+Her2+
238
24.4
33
13.9
205
86.1
 
 TNBC
141
14.4
16
11.4
125
88.6
 
 HR-Her2+
139
13.9
22
16.2
114
83.8
 
Survival
       
 OS 5 years
   
77.3
 
80.3
0.3303
ALK anaplastic lymphoma kinase, FISH fluorescence in situ hybridization, ER estrogen receptor, PR progesterone receptor, HER2 human epidermal growth factor receptor 2, IHC immunohistochemistry, HR hormone receptor, TNBC triple-negative breast cancer, OS overall survival
*Data was not available (NA) for some cases: Age (NA = 27), Lymph nodes (NA = 72), Metastasis (NA = 100), Stage (NA = 144), Grade (NA = 53), Histology (NA = 27), ER (NA = 1), PR (NA = 6),Triple-negative (NA = 7), HER-2 FISH (NA = 23), ALK FISH (NA = 33), Ki-67 (NA = 24)

Survival analysis

The 5-year overall survival of our patient cohort showing ALK overexpression was lower than patients lacking this overexpression, however this survival difference could not reach significant statistical value (p = 0.1212, Figure S3 in Additional file 4). Recurrence-free survival was significantly lower for patients with ALK protein overexpression compared to tumors showing low ALK expression (p = 0.0090) (Fig. 3). ALK amplification was also not associated with any significant survival difference.

Discussion

Breast cancer is one of the most extensively studied malignancies in the world and, despite improvement in the management of this cancer, it still remains a major cause of mortality and morbidity among female cancer patients [42]. Previously, reports have shown that ALK tyrosine kinase receptor is a strong biomarker and a good therapeutic target for a significant number of cancer patients [43, 44]. Therefore, in order to learn more on the prevalence and clinical significance of ALK overexpression and its association with clinical parameters in Middle Eastern breast cancer, we comprehensively investigated protein expression of ALK and numerical and structural alterations by FISH in a large cohort of breast cancer cases.
There is a wide variation in overexpression of ALK that has been reported in different subtypes of breast cancer. In this study, ALK overexpression was seen in 36 % of Middle Eastern breast cancer cases and this observation is in concordance with an earlier published study showing 47 % of ALK overexpression in a cohort of 100 breast cancer cases [45]. However, ALK overexpression as high as 75 % in infiltrating ductal carcinoma has been reported in a small cohort representing 63 samples from 22 patients [46]. Previously, Perez-Pinera et al. showed ALK overexpression in 50 % of the lobular subtype, whereby, we found ALK overexpression in only 17.5 % of lobular cases in our cohort [46]. Contrarily, Mehrjardi et al. could not find ALK overexpression in any case of lobular subtype in his patient cohort [45].
Significant association of ALK overexpression was seen with triple negative breast cancers (TNBCs). ALK protein was overexpressed in 47 % of TNBC cases, which was significantly higher than in non-TNBC cases. Our results show that the ALK signaling pathway possibly is more common in TNBC. Since TNBC is a poor prognosis breast cancer lacking any molecular target, so ALK overexpression can be exploited as a possible therapeutic target. ALK overexpression was also seen to be associated with poorly differentiated tumors (p = 0.0039) and tumors with a high proliferation index in our patient cohort, showing Ki-67 overexpression to be 42 % (p = <0.0001). The proliferation marker Ki-67 has repeatedly been confirmed as an independent predictive and prognostic factor in early breast cancer [47]. It has been shown that breast cancer with high Ki-67 expression responds better to chemotherapy [48], but is associated with poor prognosis [49]. This phenomenon is similar to the triple-negative paradox, which shows that TNBC had a poorer survival rate, despite a higher response rate to neoadjuvant chemotherapy [50]. In addition, TNBC has been shown to be associated with a higher expression of Ki-67 than non-TNBC [51]. These findings suggest that targeting ALK with its inhibitors might have promising therapeutic implications in treating such aggressive breast cancer subtypes especially TNBC, which has increased chances of recurrence and metastasis and poor clinical outcome due to absence of known hormonal and molecular targets.
ALK amplification was seen in 13.3 % of our breast cancer cohort. Previously, Tuma et al. had shown ALK amplification in 75 % of inflammatory breast cancer, however, the study was performed on a very small cohort of 12 cases [18]. The Cancer Genome Atlas (TCGA) dataset has also shown ALK amplification in 9 % of the breast cancer cases [52]. In addition we also sought for EML4-ALK translocation, which has been extensively reported in lung cancer [53]. Interestingly, we were not able to detect any translocation of ALK with the EML4 gene. Similar to our study, Fukuyoshi et al. also could not find this translocation in any of his 90 breast cancer cases tested for this translocation [54]. However, Lin et al. had shown the presence of EML4-ALK translocation in 2.4 % (5/209) of breast cancer cases [12]. Similarly, Robertson et al. had also found this translocation in one case out of 25 inflammatory breast cancer cases studied [21]. The exact cause of this discrepancy is not known, however, one possible reason could be the differences in ethnic population between studies as these authors had studied breast cancers from a Caucasian population while our study was conducted on Middle Eastern breast cancer cases.
ALK protein overexpression was significantly associated with ALK gene amplification in our study (p = 0.0031). Even though, there was significant association between ALK IHC and ALK FISH data but there was predominance in cases with protein overexpression compared to gene amplification (36 % versus 13.3 %). This difference could be partially attributed to the dependence of ALK expression on other signaling pathways, which had been previously hypothesized [55]. An alternative reason could be the presence of other translocation fusion partners with the ALK gene leading to ALK overexpression [56]. Moreover, the role of ALK mutations in causing protein overexpression cannot be ruled out as one of the possible mechanisms, as previously documented in neuroblastoma [57]. However, further studies are needed to explain these observations.
Another interesting observation was the strong association between ALK overexpression and p-AKT in our study (p <0.0001). The p-AKT signaling pathway is activated in different types of cancers [58]. This molecular correlation with the AKT pathway has also been shown previously in ALK-expressing ALCL [59]. The use of mTOR/AKT inhibitors along with ALK inhibitors have also been recently justified in ALK-altered neuroblastoma [60]. Therefore, it is hypothesized that ALK has a possible role in breast carcinogenesis via the AKT signaling pathway.

Conclusions

In conclusion, we have comprehensively investigated the ALK alterations in a large cohort of breast cancer cases. ALK overexpression is present in a substantial proportion of breast cancer cases and is significantly associated with aggressive tumor parameters. ALK gene amplification accounts for a significant proportion of this protein overexpression and the role of other possible mechanisms are hypothesized. ALK inhibitors alone or in combination can be exploited as a novel therapeutic agent in aggressive subtypes of breast cancers. Further studies are required to validate these observations.

Acknowledgments

We thank Valorie Balde, Padmanaban Annaiyappanaidu, and Zeeshan Qadri for their technical assistance.
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

Competing interests

All authors declare that they have no competing interests.

Authors' contributions

AKS reviewed and analyzed the clinical data and did the critical revision of the manuscript. SB analyzed the IHC data, did statistical analysis and drafted the manuscript. SP prepared the TMA, performed the IHC screening and analyzed the data. ZJ performed the FISH experiments and analyzed FISH data, and drafted the manuscript. MA and ARH performed cell line experiments and analyzed the data. FAD, AT and DA reviewed and analyzed pathological and clinical data. KSA designed the study, analyzed the data and drafted the manuscript. All authors read and approved the final manuscript.
Literatur
1.
Zurück zum Zitat Stagg J, Allard B. Immunotherapeutic approaches in triple-negative breast cancer: latest research and clinical prospects. Ther Adv Med Oncol. 2013;5:169–81.CrossRefPubMedPubMedCentral Stagg J, Allard B. Immunotherapeutic approaches in triple-negative breast cancer: latest research and clinical prospects. Ther Adv Med Oncol. 2013;5:169–81.CrossRefPubMedPubMedCentral
2.
Zurück zum Zitat Tavassoli FA, Devilee P. World Health Organization classification of tumours, pathology and genetics of tumours of the breast and female genital organs. Lyon, France: International Agency for Research on Cancer Press; 2003. Tavassoli FA, Devilee P. World Health Organization classification of tumours, pathology and genetics of tumours of the breast and female genital organs. Lyon, France: International Agency for Research on Cancer Press; 2003.
3.
Zurück zum Zitat Bazarbashi S. Cancer Incidence Report Saudi Arabia. Riyadh (KSA): Saudi Cancer Registry; 2010. p. 18–21. Bazarbashi S. Cancer Incidence Report Saudi Arabia. Riyadh (KSA): Saudi Cancer Registry; 2010. p. 18–21.
4.
Zurück zum Zitat Al Tamimi DM, Shawarby MA, Ahmed A, Hassan AK, AlOdaini AA. Protein expression profile and prevalence pattern of the molecular classes of breast cancer--a Saudi population based study. BMC Cancer. 2010;10:223.CrossRefPubMedPubMedCentral Al Tamimi DM, Shawarby MA, Ahmed A, Hassan AK, AlOdaini AA. Protein expression profile and prevalence pattern of the molecular classes of breast cancer--a Saudi population based study. BMC Cancer. 2010;10:223.CrossRefPubMedPubMedCentral
5.
Zurück zum Zitat Al-Kuraya K, Schraml P, Sheikh S, Amr S, Torhorst J, Tapia C, et al. Predominance of high-grade pathway in breast cancer development of Middle East women. Mod Pathol. 2005;18:891–7.CrossRefPubMed Al-Kuraya K, Schraml P, Sheikh S, Amr S, Torhorst J, Tapia C, et al. Predominance of high-grade pathway in breast cancer development of Middle East women. Mod Pathol. 2005;18:891–7.CrossRefPubMed
6.
Zurück zum Zitat Autier P, Boniol M, La Vecchia C, Vatten L, Gavin A, Héry C, et al. Disparities in breast cancer mortality trends between 30 European countries: retrospective trend analysis of WHO mortality database. BMJ. 2010;341:c3620.CrossRefPubMedPubMedCentral Autier P, Boniol M, La Vecchia C, Vatten L, Gavin A, Héry C, et al. Disparities in breast cancer mortality trends between 30 European countries: retrospective trend analysis of WHO mortality database. BMJ. 2010;341:c3620.CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Morris SW, Kirstein MN, Valentine MB, Dittmer KG, Shapiro DN, Saltman DL, et al. Fusion of a kinase gene, ALK, to a nucleolar protein gene, NPM, in non-Hodgkin's lymphoma. Science. 1994;263:1281–4.CrossRefPubMed Morris SW, Kirstein MN, Valentine MB, Dittmer KG, Shapiro DN, Saltman DL, et al. Fusion of a kinase gene, ALK, to a nucleolar protein gene, NPM, in non-Hodgkin's lymphoma. Science. 1994;263:1281–4.CrossRefPubMed
8.
Zurück zum Zitat Takeuchi K, Choi YL, Togashi Y, Soda M, Hatano S, Inamura K, et al. KIF5B-ALK, a novel fusion oncokinase identified by an immunohistochemistry-based diagnostic system for ALK-positive lung cancer. Clin Cancer Res. 2009;15:3143–9.CrossRefPubMed Takeuchi K, Choi YL, Togashi Y, Soda M, Hatano S, Inamura K, et al. KIF5B-ALK, a novel fusion oncokinase identified by an immunohistochemistry-based diagnostic system for ALK-positive lung cancer. Clin Cancer Res. 2009;15:3143–9.CrossRefPubMed
9.
Zurück zum Zitat Takeuchi K, Soda M, Togashi Y, Suzuki R, Sakata S, Hatano S, et al. RET, ROS1 and ALK fusions in lung cancer. Nat Med. 2012;18:378–81.CrossRefPubMed Takeuchi K, Soda M, Togashi Y, Suzuki R, Sakata S, Hatano S, et al. RET, ROS1 and ALK fusions in lung cancer. Nat Med. 2012;18:378–81.CrossRefPubMed
10.
Zurück zum Zitat Debelenko LV, Raimondi SC, Daw N, Shivakumar BR, Huang D, Nelson M, et al. Renal cell carcinoma with novel VCL-ALK fusion: new representative of ALK-associated tumor spectrum. Mod Pathol. 2011;24:430–42.CrossRefPubMed Debelenko LV, Raimondi SC, Daw N, Shivakumar BR, Huang D, Nelson M, et al. Renal cell carcinoma with novel VCL-ALK fusion: new representative of ALK-associated tumor spectrum. Mod Pathol. 2011;24:430–42.CrossRefPubMed
11.
Zurück zum Zitat Hernandez L, Pinyol M, Hernandez S, Beà S, Pulford K, Rosenwald A, et al. TRK-fused gene (TFG) is a new partner of ALK in anaplastic large cell lymphoma producing two structurally different TFG-ALK translocations. Blood. 1999;94:3265–8.PubMed Hernandez L, Pinyol M, Hernandez S, Beà S, Pulford K, Rosenwald A, et al. TRK-fused gene (TFG) is a new partner of ALK in anaplastic large cell lymphoma producing two structurally different TFG-ALK translocations. Blood. 1999;94:3265–8.PubMed
12.
Zurück zum Zitat Lin E, Li L, Guan Y, Rivers CS, Mohan S, Pandita A, et al. Exon array profiling detects EML4-ALK fusion in breast, colorectal, and non-small cell lung cancers. Mol Cancer Res. 2009;7:1466–76.CrossRefPubMed Lin E, Li L, Guan Y, Rivers CS, Mohan S, Pandita A, et al. Exon array profiling detects EML4-ALK fusion in breast, colorectal, and non-small cell lung cancers. Mol Cancer Res. 2009;7:1466–76.CrossRefPubMed
13.
Zurück zum Zitat Soda M, Choi YL, Enomoto M, Takada S, Yamashita Y, Ishikawa S, et al. Identification of the transforming EML4-ALK fusion gene in non-small-cell lung cancer. Nature. 2007;448:561–6.CrossRefPubMed Soda M, Choi YL, Enomoto M, Takada S, Yamashita Y, Ishikawa S, et al. Identification of the transforming EML4-ALK fusion gene in non-small-cell lung cancer. Nature. 2007;448:561–6.CrossRefPubMed
14.
Zurück zum Zitat Chen Y, Takita J, Choi YL, Kato M, Ohira M, Sanada M, et al. Oncogenic mutations of ALK kinase in neuroblastoma. Nature. 2008;455:971–4.CrossRefPubMed Chen Y, Takita J, Choi YL, Kato M, Ohira M, Sanada M, et al. Oncogenic mutations of ALK kinase in neuroblastoma. Nature. 2008;455:971–4.CrossRefPubMed
15.
Zurück zum Zitat George RE, Sanda T, Hanna M, Fröhling S, Luther 2nd W, Zhang J, et al. Activating mutations in ALK provide a therapeutic target in neuroblastoma. Nature. 2008;455:975–8.CrossRefPubMedPubMedCentral George RE, Sanda T, Hanna M, Fröhling S, Luther 2nd W, Zhang J, et al. Activating mutations in ALK provide a therapeutic target in neuroblastoma. Nature. 2008;455:975–8.CrossRefPubMedPubMedCentral
16.
Zurück zum Zitat Janoueix-Lerosey I, Lequin D, Brugieres L, Ribeiro A, de Pontual L, Combaret V, et al. Somatic and germline activating mutations of the ALK kinase receptor in neuroblastoma. Nature. 2008;455:967–70.CrossRefPubMed Janoueix-Lerosey I, Lequin D, Brugieres L, Ribeiro A, de Pontual L, Combaret V, et al. Somatic and germline activating mutations of the ALK kinase receptor in neuroblastoma. Nature. 2008;455:967–70.CrossRefPubMed
17.
Zurück zum Zitat Salido M, Pijuan L, Martinez-Aviles L, Galván AB, Cañadas I, Rovira A, et al. Increased ALK gene copy number and amplification are frequent in non-small cell lung cancer. J Thorac Oncol. 2011;6:21–7.CrossRefPubMedPubMedCentral Salido M, Pijuan L, Martinez-Aviles L, Galván AB, Cañadas I, Rovira A, et al. Increased ALK gene copy number and amplification are frequent in non-small cell lung cancer. J Thorac Oncol. 2011;6:21–7.CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Tuma RS. ALK gene amplified in most inflammatory breast cancers. J Natl Cancer Inst. 2012;104:87–8.CrossRefPubMed Tuma RS. ALK gene amplified in most inflammatory breast cancers. J Natl Cancer Inst. 2012;104:87–8.CrossRefPubMed
19.
Zurück zum Zitat van Gaal JC, Flucke UE, Roeffen MH, de Bont ES, Sleijfer S, Mavinkurve-Groothuis AM, et al. Anaplastic lymphoma kinase aberrations in rhabdomyosarcoma: clinical and prognostic implications. J Clin Oncol. 2012;30:308–15.CrossRefPubMed van Gaal JC, Flucke UE, Roeffen MH, de Bont ES, Sleijfer S, Mavinkurve-Groothuis AM, et al. Anaplastic lymphoma kinase aberrations in rhabdomyosarcoma: clinical and prognostic implications. J Clin Oncol. 2012;30:308–15.CrossRefPubMed
20.
Zurück zum Zitat Powers C, Aigner A, Stoica GE, McDonnell K, Wellstein A. Pleiotrophin signaling through anaplastic lymphoma kinase is rate-limiting for glioblastoma growth. J Biol Chem. 2002;277:14153–8.CrossRefPubMed Powers C, Aigner A, Stoica GE, McDonnell K, Wellstein A. Pleiotrophin signaling through anaplastic lymphoma kinase is rate-limiting for glioblastoma growth. J Biol Chem. 2002;277:14153–8.CrossRefPubMed
21.
Zurück zum Zitat Robertson FM, Petricoin Iii EF, Van Laere SJ, Bertucci F, Chu K, Fernandez SV, et al. Presence of anaplastic lymphoma kinase in inflammatory breast cancer. Springerplus. 2013;2:497.CrossRefPubMedPubMedCentral Robertson FM, Petricoin Iii EF, Van Laere SJ, Bertucci F, Chu K, Fernandez SV, et al. Presence of anaplastic lymphoma kinase in inflammatory breast cancer. Springerplus. 2013;2:497.CrossRefPubMedPubMedCentral
22.
Zurück zum Zitat van Uden DJ, van Laarhoven HW, Westenberg AH, de Wilt JH, Blanken-Peeters CF. Inflammatory breast cancer: an overview. Crit Rev Oncol Hematol. 2015;93:116–26.CrossRefPubMed van Uden DJ, van Laarhoven HW, Westenberg AH, de Wilt JH, Blanken-Peeters CF. Inflammatory breast cancer: an overview. Crit Rev Oncol Hematol. 2015;93:116–26.CrossRefPubMed
23.
Zurück zum Zitat Jasgit CS, Pranitha N, Rafael AB, Namratha V. Anaplastic lymphoma kinase (ALK): A potential oncogenic driver in triple-negative breast cancer? J Clin Oncol. 31, 2013 (suppl; abstr 1067). Jasgit CS, Pranitha N, Rafael AB, Namratha V. Anaplastic lymphoma kinase (ALK): A potential oncogenic driver in triple-negative breast cancer? J Clin Oncol. 31, 2013 (suppl; abstr 1067).
24.
Zurück zum Zitat Butrynski JE, D'Adamo DR, Hornick JL, Dal Cin P, Antonescu CR, Jhanwar SC, et al. Crizotinib in ALK-rearranged inflammatory myofibroblastic tumor. N Engl J Med. 2010;363:1727–33.CrossRefPubMedPubMedCentral Butrynski JE, D'Adamo DR, Hornick JL, Dal Cin P, Antonescu CR, Jhanwar SC, et al. Crizotinib in ALK-rearranged inflammatory myofibroblastic tumor. N Engl J Med. 2010;363:1727–33.CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat Du XL, Hu H, Lin DC, Xia SH, Shen XM, Zhang Y, et al. Proteomic profiling of proteins dysregulated in Chinese esophageal squamous cell carcinoma. J Mol Med (Berl). 2007;85:863–75.CrossRef Du XL, Hu H, Lin DC, Xia SH, Shen XM, Zhang Y, et al. Proteomic profiling of proteins dysregulated in Chinese esophageal squamous cell carcinoma. J Mol Med (Berl). 2007;85:863–75.CrossRef
26.
Zurück zum Zitat Kwak EL, Bang YJ, Camidge DR, Shaw AT, Solomon B, Maki RG, et al. Anaplastic lymphoma kinase inhibition in non-small-cell lung cancer. N Engl J Med. 2010;363:1693–703.CrossRefPubMedPubMedCentral Kwak EL, Bang YJ, Camidge DR, Shaw AT, Solomon B, Maki RG, et al. Anaplastic lymphoma kinase inhibition in non-small-cell lung cancer. N Engl J Med. 2010;363:1693–703.CrossRefPubMedPubMedCentral
28.
Zurück zum Zitat Grob TJ, Heilenkotter U, Geist S, Paluchowski P, Wilke C, Jaenicke F, et al. Rare oncogenic mutations of predictive markers for targeted therapy in triple-negative breast cancer. Breast Cancer Res Treat. 2012;134:561–7.CrossRefPubMed Grob TJ, Heilenkotter U, Geist S, Paluchowski P, Wilke C, Jaenicke F, et al. Rare oncogenic mutations of predictive markers for targeted therapy in triple-negative breast cancer. Breast Cancer Res Treat. 2012;134:561–7.CrossRefPubMed
29.
Zurück zum Zitat Morales La Madrid A, Campbell N, Smith S, Cohn SL, Salgia R. Targeting ALK: a promising strategy for the treatment of non-small cell lung cancer, non-Hodgkin's lymphoma, and neuroblastoma. Target Oncol. 2012;7:199–210. Morales La Madrid A, Campbell N, Smith S, Cohn SL, Salgia R. Targeting ALK: a promising strategy for the treatment of non-small cell lung cancer, non-Hodgkin's lymphoma, and neuroblastoma. Target Oncol. 2012;7:199–210.
30.
Zurück zum Zitat Thunnissen E, Bubendorf L, Dietel M, Elmberger G, Kerr K, Lopez-Rios F, et al. EML4-ALK testing in non-small cell carcinomas of the lung: a review with recommendations. Virchows Arch. 2012;461:245–57.CrossRefPubMedPubMedCentral Thunnissen E, Bubendorf L, Dietel M, Elmberger G, Kerr K, Lopez-Rios F, et al. EML4-ALK testing in non-small cell carcinomas of the lung: a review with recommendations. Virchows Arch. 2012;461:245–57.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Sun JM, Choi YL, Won JK, Hirsch FR, Ahn JS, Ahn MJ, et al. A dramatic response to crizotinib in a non-small-cell lung cancer patient with IHC-positive and FISH-negative ALK. J Thorac Oncol. 2012;7:e36–8.CrossRefPubMed Sun JM, Choi YL, Won JK, Hirsch FR, Ahn JS, Ahn MJ, et al. A dramatic response to crizotinib in a non-small-cell lung cancer patient with IHC-positive and FISH-negative ALK. J Thorac Oncol. 2012;7:e36–8.CrossRefPubMed
32.
Zurück zum Zitat Jehan Z, Bavi P, Sultana M, Abubaker J, Bu R, Hussain A, et al. Frequent PIK3CA gene amplification and its clinical significance in colorectal cancer. J Pathol. 2009;219:337–46.CrossRefPubMed Jehan Z, Bavi P, Sultana M, Abubaker J, Bu R, Hussain A, et al. Frequent PIK3CA gene amplification and its clinical significance in colorectal cancer. J Pathol. 2009;219:337–46.CrossRefPubMed
34.
Zurück zum Zitat Abubaker J, Jehan Z, Bavi P, Sultana M, Al-Harbi S, Ibrahim M, et al. Clinicopathological analysis of papillary thyroid cancer with PIK3CA alterations in a Middle Eastern population. J Clin Endocrinol Metab. 2008;93:611–8.CrossRefPubMed Abubaker J, Jehan Z, Bavi P, Sultana M, Al-Harbi S, Ibrahim M, et al. Clinicopathological analysis of papillary thyroid cancer with PIK3CA alterations in a Middle Eastern population. J Clin Endocrinol Metab. 2008;93:611–8.CrossRefPubMed
35.
Zurück zum Zitat Abubaker J, Bavi P, Al-Haqawi W, Sultana M, Al-Harbi S, Al-Sanea N, et al. Prognostic significance of alterations in KRAS isoforms KRAS-4A/4B and KRAS mutations in colorectal carcinoma. J Pathol. 2009;219:435–45.CrossRefPubMed Abubaker J, Bavi P, Al-Haqawi W, Sultana M, Al-Harbi S, Al-Sanea N, et al. Prognostic significance of alterations in KRAS isoforms KRAS-4A/4B and KRAS mutations in colorectal carcinoma. J Pathol. 2009;219:435–45.CrossRefPubMed
36.
Zurück zum Zitat Pfaffl MW, Horgan GW, Dempfle L. Relative expression software tool (REST) for group-wise comparison and statistical analysis of relative expression results in real-time PCR. Nucleic Acids Res. 2002;30, e36.CrossRefPubMedPubMedCentral Pfaffl MW, Horgan GW, Dempfle L. Relative expression software tool (REST) for group-wise comparison and statistical analysis of relative expression results in real-time PCR. Nucleic Acids Res. 2002;30, e36.CrossRefPubMedPubMedCentral
37.
Zurück zum Zitat Mino-Kenudson M, Chirieac LR, Law K, Hornick JL, Lindeman N, Mark EJ, et al. A novel, highly sensitive antibody allows for the routine detection of ALK-rearranged lung adenocarcinomas by standard immunohistochemistry. Clin Cancer Res. 2010;16:1561–71.CrossRefPubMedPubMedCentral Mino-Kenudson M, Chirieac LR, Law K, Hornick JL, Lindeman N, Mark EJ, et al. A novel, highly sensitive antibody allows for the routine detection of ALK-rearranged lung adenocarcinomas by standard immunohistochemistry. Clin Cancer Res. 2010;16:1561–71.CrossRefPubMedPubMedCentral
38.
Zurück zum Zitat Deyarmin B, Kane JL, Valente AL, van Laar R, Gallagher C, Shriver CD, et al. Effect of ASCO/CAP guidelines for determining ER status on molecular subtype. Ann Surg Oncol. 2013;20:87–93.CrossRefPubMed Deyarmin B, Kane JL, Valente AL, van Laar R, Gallagher C, Shriver CD, et al. Effect of ASCO/CAP guidelines for determining ER status on molecular subtype. Ann Surg Oncol. 2013;20:87–93.CrossRefPubMed
39.
Zurück zum Zitat Abd-Elazeem MA. Claudin 4 expression in triple-negative breast cancer: correlation with androgen receptors and Ki-67 expression. Ann Diagn Pathol. 2015;19:37–42.CrossRefPubMed Abd-Elazeem MA. Claudin 4 expression in triple-negative breast cancer: correlation with androgen receptors and Ki-67 expression. Ann Diagn Pathol. 2015;19:37–42.CrossRefPubMed
40.
Zurück zum Zitat Al-Bazz YO, Underwood JC, Brown BL, Dobson PR. Prognostic significance of Akt, phospho-Akt and BAD expression in primary breast cancer. Eur J Cancer. 2009;45:694–704.CrossRefPubMed Al-Bazz YO, Underwood JC, Brown BL, Dobson PR. Prognostic significance of Akt, phospho-Akt and BAD expression in primary breast cancer. Eur J Cancer. 2009;45:694–704.CrossRefPubMed
41.
Zurück zum Zitat Camp RL, Dolled-Filhart M, Rimm DL. X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res. 2004;10:7252–9.CrossRefPubMed Camp RL, Dolled-Filhart M, Rimm DL. X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res. 2004;10:7252–9.CrossRefPubMed
42.
Zurück zum Zitat Ekwueme DU, Guy Jr GP, Rim SH, White A, Hall IJ, Fairley TL, et al. Health and economic impact of breast cancer mortality in young women, 1970–2008. Am J Prev Med. 2014;46:71–9.CrossRefPubMed Ekwueme DU, Guy Jr GP, Rim SH, White A, Hall IJ, Fairley TL, et al. Health and economic impact of breast cancer mortality in young women, 1970–2008. Am J Prev Med. 2014;46:71–9.CrossRefPubMed
43.
Zurück zum Zitat Kelleher FC, McDermott R. The emerging pathogenic and therapeutic importance of the anaplastic lymphoma kinase gene. Eur J Cancer. 2010;46:2357–68.CrossRefPubMed Kelleher FC, McDermott R. The emerging pathogenic and therapeutic importance of the anaplastic lymphoma kinase gene. Eur J Cancer. 2010;46:2357–68.CrossRefPubMed
44.
Zurück zum Zitat Grande E, Bolos MV, Arriola E. Targeting oncogenic ALK: a promising strategy for cancer treatment. Mol Cancer Ther. 2011;10:569–79.CrossRefPubMed Grande E, Bolos MV, Arriola E. Targeting oncogenic ALK: a promising strategy for cancer treatment. Mol Cancer Ther. 2011;10:569–79.CrossRefPubMed
45.
Zurück zum Zitat Mehrjardi AZ, Vaghefi A. Expression of anaplastic lymphoma kinase protein in human breast cancer. Iran J Pathol. 2013;8(1):27–35. Mehrjardi AZ, Vaghefi A. Expression of anaplastic lymphoma kinase protein in human breast cancer. Iran J Pathol. 2013;8(1):27–35.
46.
Zurück zum Zitat Perez-Pinera P, Chang Y, Astudillo A, Mortimer J, Deuel TF. Anaplastic lymphoma kinase is expressed in different subtypes of human breast cancer. Biochem Biophys Res Commun. 2007;358:399–403.CrossRefPubMedPubMedCentral Perez-Pinera P, Chang Y, Astudillo A, Mortimer J, Deuel TF. Anaplastic lymphoma kinase is expressed in different subtypes of human breast cancer. Biochem Biophys Res Commun. 2007;358:399–403.CrossRefPubMedPubMedCentral
47.
Zurück zum Zitat Urruticoechea A, Smith IE, Dowsett M. Proliferation marker Ki-67 in early breast cancer. J Clin Oncol. 2005;23:7212–20.CrossRefPubMed Urruticoechea A, Smith IE, Dowsett M. Proliferation marker Ki-67 in early breast cancer. J Clin Oncol. 2005;23:7212–20.CrossRefPubMed
48.
Zurück zum Zitat Jones RL, Salter J, A'Hern R, Nerurkar A, Parton M, Reis-Filho JS, et al. Relationship between oestrogen receptor status and proliferation in predicting response and long-term outcome to neoadjuvant chemotherapy for breast cancer. Breast Cancer Res Treat. 2010;119:315–23.CrossRefPubMed Jones RL, Salter J, A'Hern R, Nerurkar A, Parton M, Reis-Filho JS, et al. Relationship between oestrogen receptor status and proliferation in predicting response and long-term outcome to neoadjuvant chemotherapy for breast cancer. Breast Cancer Res Treat. 2010;119:315–23.CrossRefPubMed
49.
Zurück zum Zitat Jung SY, Han W, Lee JW, Ko E, Kim E, Yu JH, et al. Ki-67 expression gives additional prognostic information on St. Gallen 2007 and Adjuvant! Online risk categories in early breast cancer. Ann Surg Oncol. 2009;16:1112–21.CrossRefPubMed Jung SY, Han W, Lee JW, Ko E, Kim E, Yu JH, et al. Ki-67 expression gives additional prognostic information on St. Gallen 2007 and Adjuvant! Online risk categories in early breast cancer. Ann Surg Oncol. 2009;16:1112–21.CrossRefPubMed
50.
Zurück zum Zitat Carey LA, Dees EC, Sawyer L, Gatti L, Moore DT, Collichio F, et al. The triple negative paradox: primary tumor chemosensitivity of breast cancer subtypes. Clin Cancer Res. 2007;13:2329–34.CrossRefPubMed Carey LA, Dees EC, Sawyer L, Gatti L, Moore DT, Collichio F, et al. The triple negative paradox: primary tumor chemosensitivity of breast cancer subtypes. Clin Cancer Res. 2007;13:2329–34.CrossRefPubMed
51.
Zurück zum Zitat Keam B, Im SA, Kim HJ, Oh DY, Kim JH, Lee SH, et al. Prognostic impact of clinicopathologic parameters in stage II/III breast cancer treated with neoadjuvant docetaxel and doxorubicin chemotherapy: paradoxical features of the triple negative breast cancer. BMC Cancer. 2007;7:203.CrossRefPubMedPubMedCentral Keam B, Im SA, Kim HJ, Oh DY, Kim JH, Lee SH, et al. Prognostic impact of clinicopathologic parameters in stage II/III breast cancer treated with neoadjuvant docetaxel and doxorubicin chemotherapy: paradoxical features of the triple negative breast cancer. BMC Cancer. 2007;7:203.CrossRefPubMedPubMedCentral
52.
53.
Zurück zum Zitat Rodig SJ, Mino-Kenudson M, Dacic S, Yeap BY, Shaw A, Barletta JA, et al. Unique clinicopathologic features characterize ALK-rearranged lung adenocarcinoma in the western population. Clin Cancer Res. 2009;15:5216–23.CrossRefPubMedPubMedCentral Rodig SJ, Mino-Kenudson M, Dacic S, Yeap BY, Shaw A, Barletta JA, et al. Unique clinicopathologic features characterize ALK-rearranged lung adenocarcinoma in the western population. Clin Cancer Res. 2009;15:5216–23.CrossRefPubMedPubMedCentral
54.
Zurück zum Zitat Fukuyoshi Y, Inoue H, Kita Y, Utsunomiya T, Ishida T, Mori M. EML4-ALK fusion transcript is not found in gastrointestinal and breast cancers. Br J Cancer. 2008;98:1536–9.CrossRefPubMedPubMedCentral Fukuyoshi Y, Inoue H, Kita Y, Utsunomiya T, Ishida T, Mori M. EML4-ALK fusion transcript is not found in gastrointestinal and breast cancers. Br J Cancer. 2008;98:1536–9.CrossRefPubMedPubMedCentral
55.
Zurück zum Zitat Perez-Pinera P, Zhang W, Chang Y, Vega JA, Deuel TF. Anaplastic lymphoma kinase is activated through the pleiotrophin/receptor protein-tyrosine phosphatase beta/zeta signaling pathway: an alternative mechanism of receptor tyrosine kinase activation. J Biol Chem. 2007;282:28683–90.CrossRefPubMed Perez-Pinera P, Zhang W, Chang Y, Vega JA, Deuel TF. Anaplastic lymphoma kinase is activated through the pleiotrophin/receptor protein-tyrosine phosphatase beta/zeta signaling pathway: an alternative mechanism of receptor tyrosine kinase activation. J Biol Chem. 2007;282:28683–90.CrossRefPubMed
56.
Zurück zum Zitat Yokoyama N, Miller WT. Molecular characterization of WDCP, a novel fusion partner for the anaplastic lymphoma tyrosine kinase ALK. Biomed Rep. 2015;3:9–13.PubMed Yokoyama N, Miller WT. Molecular characterization of WDCP, a novel fusion partner for the anaplastic lymphoma tyrosine kinase ALK. Biomed Rep. 2015;3:9–13.PubMed
57.
Zurück zum Zitat Cazes A, Lopez-Delisle L, Tsarovina K, Pierre-Eugène C, De Preter K, Peuchmaur M, et al. Activated Alk triggers prolonged neurogenesis and Ret upregulation providing a therapeutic target in ALK-mutated neuroblastoma. Oncotarget. 2014;5:2688–702.CrossRefPubMedPubMedCentral Cazes A, Lopez-Delisle L, Tsarovina K, Pierre-Eugène C, De Preter K, Peuchmaur M, et al. Activated Alk triggers prolonged neurogenesis and Ret upregulation providing a therapeutic target in ALK-mutated neuroblastoma. Oncotarget. 2014;5:2688–702.CrossRefPubMedPubMedCentral
58.
Zurück zum Zitat Polivka Jr J, Janku F. Molecular targets for cancer therapy in the PI3K/AKT/mTOR pathway. Pharmacol Ther. 2014;142:164–75.CrossRefPubMed Polivka Jr J, Janku F. Molecular targets for cancer therapy in the PI3K/AKT/mTOR pathway. Pharmacol Ther. 2014;142:164–75.CrossRefPubMed
59.
Zurück zum Zitat Thakral C, Hutchison RE, Shrimpton A, Barrett D, Laver J, Link M, et al. ALK+ anaplastic large cell lymphoma exhibits phosphatidylinositol-3 kinase/Akt activity with retained but inactivated PTEN--a report from the Children's Oncology Group. Pediatr Blood Cancer. 2012;59:440–7.CrossRefPubMedPubMedCentral Thakral C, Hutchison RE, Shrimpton A, Barrett D, Laver J, Link M, et al. ALK+ anaplastic large cell lymphoma exhibits phosphatidylinositol-3 kinase/Akt activity with retained but inactivated PTEN--a report from the Children's Oncology Group. Pediatr Blood Cancer. 2012;59:440–7.CrossRefPubMedPubMedCentral
60.
Zurück zum Zitat Moore NF, Azarova AM, Bhatnagar N, Ross KN, Drake LE, Frumm S, et al. Molecular rationale for the use of PI3K/AKT/mTOR pathway inhibitors in combination with crizotinib in ALK-mutated neuroblastoma. Oncotarget. 2014;5:8737–49.CrossRefPubMedPubMedCentral Moore NF, Azarova AM, Bhatnagar N, Ross KN, Drake LE, Frumm S, et al. Molecular rationale for the use of PI3K/AKT/mTOR pathway inhibitors in combination with crizotinib in ALK-mutated neuroblastoma. Oncotarget. 2014;5:8737–49.CrossRefPubMedPubMedCentral
Metadaten
Titel
ALK alteration is a frequent event in aggressive breast cancers
verfasst von
Abdul K. Siraj
Shaham Beg
Zeenath Jehan
Sarita Prabhakaran
Maqbool Ahmed
Azhar R.Hussain
Fouad Al-Dayel
Asma Tulbah
Dahish Ajarim
Khawla S. Al-Kuraya
Publikationsdatum
01.12.2015
Verlag
BioMed Central
Erschienen in
Breast Cancer Research / Ausgabe 1/2015
Elektronische ISSN: 1465-542X
DOI
https://doi.org/10.1186/s13058-015-0610-3

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