Literature DB >> 27870570

Activating NOTCH1 Mutations Define a Distinct Subgroup of Patients With Adenoid Cystic Carcinoma Who Have Poor Prognosis, Propensity to Bone and Liver Metastasis, and Potential Responsiveness to Notch1 Inhibitors.

Renata Ferrarotto1, Yoshitsugu Mitani1, Lixia Diao1, Irene Guijarro1, Jing Wang1, Patrick Zweidler-McKay1, Diana Bell1, William N William1, Bonnie S Glisson1, Michael J Wick1, Ann M Kapoun1, Amita Patnaik1, Gail Eckhardt1, Pamela Munster1, Leonardo Faoro1, Jakob Dupont1, J Jack Lee1, Andrew Futreal1, Adel K El-Naggar1, John V Heymach1.   

Abstract

Purpose Adenoid cystic carcinomas (ACCs) represent a heterogeneous group of chemotherapy refractory tumors, with a subset demonstrating an aggressive phenotype. We investigated the molecular underpinnings of this phenotype and assessed the Notch1 pathway as a potential therapeutic target. Methods We genotyped 102 ACCs that had available pathologic and clinical data. Notch1 activation was assessed by immunohistochemistry for Notch1 intracellular domain. Luciferase reporter assays were used to confirm Notch1 target gene expression in vitro. The Notch1 inhibitor brontictuzumab was tested in patient-derived xenografts from patients with ACC and in a patient with ACC who was enrolled in a phase I study. Results NOTCH1 mutations occurred predominantly (14 of 15 patients) in the negative regulatory region and Pro-Glu-Ser-Thr-rich domains, the same two hotspots seen in T-cell acute lymphoblastic leukemias, and led to pathway activation in vitro. NOTCH1-mutant tumors demonstrated significantly higher levels of Notch1 pathway activation than wild-type tumors on the basis of Notch1 intracellular domain staining ( P = .004). NOTCH1 mutations define a distinct aggressive ACC subgroup with a significantly higher likelihood of solid subtype ( P < .001), advanced-stage disease at diagnosis ( P = .02), higher rate of liver and bone metastasis ( P ≤ .02), shorter relapse-free survival (median, 13 v 34 months; P = .01), and shorter overall survival (median 30 v 122 months; P = .001) when compared with NOTCH1 wild-type tumors. Significant tumor growth inhibition with brontictuzumab was observed exclusively in the ACC patient-derived xenograft model that harbored a NOTCH1 activating mutation. Furthermore, an index patient with NOTCH1-mutant ACC had a partial response to brontictuzumab. Conclusion NOTCH1 mutations define a distinct disease phenotype characterized by solid histology, liver and bone metastasis, poor prognosis, and potential responsiveness to Notch1 inhibitors. Clinical studies targeting Notch1 in a genotype-defined ACC subgroup are warranted.

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Year:  2016        PMID: 27870570      PMCID: PMC5456373          DOI: 10.1200/JCO.2016.67.5264

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


INTRODUCTION

Adenoid cystic carcinoma (ACC) is a common malignant salivary gland tumor with a recurrence rate of 40% to 50% after curative intent treatment.[1,2] Overall, ACC is chemotherapy refractory, and there is no standard of care treatment for patients with recurrent and/or metastatic disease.[3] Whole exome sequencing (WES) of ACC samples has shed light on the genetic landscape of this disease and provides evidence for Notch pathway alterations in 11% to 29% of patients.[4-6] The Notch pathway is involved in cancer-relevant functions, including maintenance of stem cells, cell fate specification, proliferation, and angiogenesis.[7] There are four NOTCH genes that encode transmembrane receptors (NOTCH1, -2, -3, and -4) and five membrane-bound ligands: delta-like ligands (DLL1, -3, -4); and Jagged (JAG1, -2). Notch signaling is usually initiated by receptor-ligand interaction, which leads to consecutive receptor cleavages, the second cleavage by the gamma-secretase complex that frees the Notch intracellular domain (NICD) to enter the nucleus, displace corepressors such as SPEN,[4] and form a transcriptional activation complex with the DNA-binding factor RBPJ and coactivators of the mastermind-like family.[8] The generation and stability of NICD is regulated by the ubiquitin ligase complexes containing FBXW7.[9] Deregulation of the Notch1 pathway occurs in multiple cancers, although its specific roles and potential value as a therapeutic target vary. NOTCH1 mutations are oncogenic drivers in 50% of T-cell acute lymphoblastic leukemias (T-ALLs).[10] T-ALL–activating mutations concentrate in two hotspot regions: in-frame mutations in exons 25 to 28 that disrupt the negative regulatory region and lead to ligand-independent Notch1 activation and stop-codon or nonsense mutations in exon 34 that result in deletion of the C-terminal degron domain (eg, Pro-Glu-Ser-Thr–rich domain [PEST]) and NICD stabilization. Notch signaling can also be activated in T-ALL through translocations, duplication insertions in the vicinity of exon 28, or FBXW7 mutations.[11,12] Notch1 can act as a tumor suppressor in other malignancies such as oral squamous cell carcinoma in which loss-of-function NOTCH1 mutations occur in the epidermal growth factor–like domain.[13-15] In this article, we describe that NOTCH1 mutations in ACC occur predominately in the T-ALL hotspots, are activating, and define a subgroup of patients with solid subtype, advanced-stage disease, distinct pattern of metastasis, and worse prognosis. We also report in an index patient that the acquisition of mutations leading to further Notch1 pathway activation probably occurs as the tumor progresses. Furthermore, Notch1 inhibitor demonstrated antitumor activity in a NOTCH1-mutant ACC xenograft and in a patient with a NOTCH1 mutation, demonstrating that Notch1 is a potential therapeutic target in a subgroup of ACC.

METHODS

Patient Selection

The study population consisted of 102 patients with ACC: 70 patients with primary tumor available for WES (46 patients in addition to the 24 previously published[4]) and 32 patients who had their tumor genotyped by using target-sequencing platforms from January 1, 2013, to March 31, 2015, at the request of the treating oncologist. Patient samples were obtained by either an institutional review board–approved waiver of informed consent (for deceased patients) or informed consent (front-door consent). Pathologic and clinical data were retrospectively obtained from electronic medical records according to institutional review board–approved protocol PA14-0375. Data acquisition was locked on December 7, 2015. At the date of analysis, 46 patients were alive (33 with disease and 13 without disease), and 56 were deceased (44 as a result of disease, five without disease, and seven with unknown disease status).

Genomic Analysis

WES was performed by using DNA obtained from fresh-frozen samples, as previously described.[4] Target exome sequencing or analysis of hotspot mutations in cancer-related genes was performed by using next-generation sequencing as described in the Data Supplement.

Immunohistochemistry

Rabbit monoclonal cleaved Notch1 antibody Val1744 (D3B8; #4147; Cell Signaling Technology, Danvers, MA) was used for NICD immunohistochemical (IHC) staining as previously described.[16] Details are available in the Data Supplement.

Luciferase Reporter Assay

Luciferase reporter assay was performed by using 293T cells. NOTCH1 mutations identified in a patient were constructed by site-directed mutagenesis. Detail are provided in the Data Supplement.

Patient-Derived Xenograft Drug Screening

The antitumor activity of brontictuzumab was tested in previously established and genotyped ACC patient-derived xenografts (PDXs),[17] as detailed in Data Supplement.

Statistical Analysis

Fisher’s exact test was used to determine the association between NOTCH1 mutation or NICD expression and clinicopathologic characteristics. An analysis evaluating the association between NOTCH1 mutational status and specific sites of disease recurrence was undertaken among patients with local or distant recurrence. Relapse-free survival (RFS) and overall survival (OS) were estimated by the Kaplan-Meier method. RFS was defined as the time from diagnosis to relapse or death, whichever occurred first. Observation for RFS was censored at the date of last contact for patients last known to be alive without relapse. OS was defined as the time from diagnosis to death as a result of any cause. Survivors or patients who were lost to follow-up were censored at the last contact date. Univariable and multivariable analyses that used Cox proportional hazards models were used to identify important prognostic factors for OS and RFS. All P values were two-sided. P < .05 was considered statistically significant.

RESULTS

NOTCH1 Mutations in ACC Occur in Hotspots and Are Associated With Pathway Activation

Expanding on our prior work of genetic sequencing for 24 patients with ACC,[4] genomic profiling was conducted in a total of 102 tumors, WES in an additional 46 samples, and targeted sequencing for gene panel that included NOTCH1 in 32 samples. Eighteen NOTCH1 mutations were identified in 15 tumors, and two patients harbored more than one NOTCH1 mutation. Seventeen of these mutations in 14 patients (14 [13.7%] of 102; Appendix Table A1, online only) occurred in the T-ALL hotspots, suggesting that they are gain-of-function mutations (Fig 1A).
Table 1.

Baseline Patient and Tumor Characteristics

Fig 1.

(A) NOTCH1 mutations in patients with adenoid cystic carcinomas (ACCs) occurred predominantly in the same negative regulatory region and Pro-Glu-Ser-Thr–rich domain (PEST) hotspots as those observed in T-cell acute lymphoblastic leukemia and are predicted to be activating. (B) Notch1 intracellular domain (NICD) immunostaining in ACC. (Bi) Positive uniform nuclear expression of NICD in solid form of ACC. (Bii) ACC negative for NICD expression. (C) In vitro reporter assay assessing Notch1 pathway activation induced by individual mutations and the combination of both mutations observed in an index patient. 293T cells were cotransfected with NOTCH1-wild-type (WT) or NOTCH1-mutant (mut) constructs and HES1AB-responsive luciferase reporter, HES1AB-Δ luciferase mutant form, or Renilla luciferase control. Firefly/Renilla luciferase activity was measured in cell lysates after 48 hours. The NOTCH1 S2467fs* and L1600Q comutations led to a statistically significant 2.2-fold increase in reporter activity compared with wild-type NOTCH1. ANK, ankyrin repeat domain; DM, double mutation; LNR, Lin12/NOTCH repeats; M1, NOTCH1 S2467fs* mutation; M2, NOTCH1 L1600Q mutation; TM, transmembrane domain. (†) P < .001.

(A) NOTCH1 mutations in patients with adenoid cystic carcinomas (ACCs) occurred predominantly in the same negative regulatory region and Pro-Glu-Ser-Thr–rich domain (PEST) hotspots as those observed in T-cell acute lymphoblastic leukemia and are predicted to be activating. (B) Notch1 intracellular domain (NICD) immunostaining in ACC. (Bi) Positive uniform nuclear expression of NICD in solid form of ACC. (Bii) ACC negative for NICD expression. (C) In vitro reporter assay assessing Notch1 pathway activation induced by individual mutations and the combination of both mutations observed in an index patient. 293T cells were cotransfected with NOTCH1-wild-type (WT) or NOTCH1-mutant (mut) constructs and HES1AB-responsive luciferase reporter, HES1AB-Δ luciferase mutant form, or Renilla luciferase control. Firefly/Renilla luciferase activity was measured in cell lysates after 48 hours. The NOTCH1 S2467fs* and L1600Q comutations led to a statistically significant 2.2-fold increase in reporter activity compared with wild-type NOTCH1. ANK, ankyrin repeat domain; DM, double mutation; LNR, Lin12/NOTCH repeats; M1, NOTCH1 S2467fs* mutation; M2, NOTCH1 L1600Q mutation; TM, transmembrane domain. (†) P < .001. To evaluate whether these mutations were activating, we assessed the association between NOTCH1 mutations and NICD IHC staining (Fig 1B), an established marker for Notch1 pathway activation.[16] Tumor tissues from 72 patients were available for NICD staining. There was a statistically significant association between NOTCH1 mutations and NICD positivity. All 10 tumors (100%) with NOTCH1 mutations predicted to be activating were NICD positive, whereas 30 (49%) of 61 NOTCH1 wild-type tumors stained positive (P = .004); the only tumor with a NOTCH1 mutation predicted to be inactivating (Y550fs*51) was NICD negative.

Double NOTCH1 Mutations Lead to Increased Pathway Activation

To further characterize the functional role of the NOTCH1 mutations observed in an index patient, we conducted in vitro analysis of pathway activation by using a luciferase reporter assay bearing the promoter of HES1, a Notch1 transcriptional target. 293T cells were cotransfected with an HES1-responsive luciferase reporter vector and constructs carrying the initially observed NOTCH1 mutation S2467fs* (M1), the acquired mutation L1600Q (M2), and the L1600Q/S2467fs* comutations (or double mutations). As expected, the cells cotransfected with the comutations increased luciferase activity irrespective of the presence of the ligand (Fig 1C) to a greater extent than either mutation alone or than wild-type NOTCH1, supporting the notion that the NOTCH1 mutations were transcriptionally activating. Although we detected a modest increase in pathway activation with each individual NOTCH1 mutation in the absence of ligand, these results were not statistically significant when compared with NOTCH1 wild-type. This could reflect the possibility that the Notch1 pathway activation may remain ligand-dependent for M1 or, alternatively, it may reflect a limitation of the standard transient cotransfection reporter system used.

Mutations in Other NOTCH-Related Genes

Mutations were also observed in other genes known to impact the Notch pathway. Mutations in SPEN were observed in six patients, including three concurrent with NOTCH1. Two patients had NOTCH2 mutations, one of them with a SPEN comutation. Interestingly, comutations in NOTCH1 and NOTCH4, NOTCH1 and JAG1, and NOTCH1 and FBXW7 were also identified (Data Supplement). In addition, one patient had a mutation in RBPJ, the main transcriptional effector of Notch signaling. In total, 21 patients (20.5%) had mutations in known Notch pathway-related genes.

Population Characteristics

The overall patient characteristics are provided in Table 1. The median age at diagnosis was 52 years, and the main primary tumor site was the minor salivary glands. MYB/MYBL1 rearrangement or overexpression was identified in 74% and 77% of the available samples, respectively. The majority of patients presented with stage I to III disease and were treated with surgery followed by adjuvant radiotherapy with or without concurrent cisplatin. Eighty percent of the patients relapsed, with lung being the most common site of recurrence. Metastasis to atypical sites such as brain, peritoneum, and subcutaneous tissue occurred in 23 patients. Fifty-eight percent of patients with recurrent disease received systemic therapy. Baseline Patient and Tumor Characteristics

NOTCH1 Mutations Define a Distinct Biologic Phenotype

The correlation between clinicopathologic characteristics and NOTCH1 mutational status is presented in Table 2. Compared with patients who have NOTCH1 wild-type, those with mutations were more likely to have solid histology (P < .001), present with advanced-stage disease (P = .02), or both (solid subtype and stage IV v others; P = .01). In spite of lung being the most common site of metastasis among patients with recurrent ACC, patients with NOTCH1 mutations were less likely to develop lung metastasis (odds ratio [OR], 0.24; P = .02) but had a far higher likelihood of developing metastasis in the liver (OR, 8.5; P = .002), bone (OR, 5.4; P = .01), and atypical sites (OR, 3.8; P = .04; Fig 2A). Similar results were obtained when we included the 20 patients with mutations that were expected to activate the Notch pathway (Data Supplement). We also performed correlation analysis between NICD-positive (40) and NICD-negative (32) tumors. Patients with NICD-positive tumors were more likely to have solid histology (P = .02) and liver metastasis (P = .02).
Table 2.

Correlation Between Clinicopathologic Characteristics and NOTCH1 Mutational Status in Patients With and Without NOTCH1 Mutations

Fig 2.

(A) Odds ratio of metastasis to specific organs in patients with NOTCH1 mutations versus wild-type. The dashed yellow line represents the odds ratio of 1 (i.e., the incidence of metastasis in the NOTCH1 mutant group is the same as that of the NOTCH1 wild-type group). (B) Kaplan-Meier estimates of relapse-free survival (RFS) of patients with NOTCH1 mutations versus wild-type. (C) Kaplan-Meier estimates of overall survival (OS) of patients with NOTCH1 mutations versus wild-type.

Correlation Between Clinicopathologic Characteristics and NOTCH1 Mutational Status in Patients With and Without NOTCH1 Mutations (A) Odds ratio of metastasis to specific organs in patients with NOTCH1 mutations versus wild-type. The dashed yellow line represents the odds ratio of 1 (i.e., the incidence of metastasis in the NOTCH1 mutant group is the same as that of the NOTCH1 wild-type group). (B) Kaplan-Meier estimates of relapse-free survival (RFS) of patients with NOTCH1 mutations versus wild-type. (C) Kaplan-Meier estimates of overall survival (OS) of patients with NOTCH1 mutations versus wild-type.

NOTCH1 Mutation Is Prognostic in ACC But Is Not an Independent Prognostic Factor in the Presence of Histologic Subtype and Stage

The median RFS and OS in the overall population were 30 and 108 months, respectively. Median RFS was 12.5 versus 33.9 months for NOTCH1-mutant versus NOTCH1 wild-type (P = .01; Fig 2B). OS was significantly shorter in the patients with NOTCH1 mutations, with a median of 29.6 versus 121.9 months for NOTCH1 wild-type (P = .001; Fig 2C). MYB/MYBL1 rearrangement and/or overexpression did not influence RFS or OS irrespective of NOTCH1 mutational status (Data Supplement). The NICD-positive group showed a shorter RFS compared with the NICD-negative group (14.6 v 39 months; P = .03); however, OS did not significantly differ between the NICD-positive and the NICD-negative groups (44 v 108 months; P = .2). Univariable and multivariable Cox models were performed for OS and RFS (Data Supplement). For OS, significant predictor variables by the univariable analysis were age, histology, disease stage, and NOTCH1 mutational status. Histologic subtype was the only significant predictor for OS in the multivariable analysis. For RFS, histology, disease stage, and NOTCH1 mutational status were significant predictors by univariable analysis. Both histologic subtype and stage remained significant in multivariable analysis. The results held when the nonsignificant predictors were removed from the model, and the results were consistent in the analysis that included mutation in genes predicted to activate the Notch pathway (Data Supplement). Hence, NOTCH1 mutation was not an independent prognostic factor when histology and stage were considered. The highly significant association between NOTCH1 mutation and advanced-stage disease (P = .02), solid histology (P < .001), or both (P = .01), together with additional factors such as tumor heterogeneity could account for dilution of the prognostic significance of NOTCH1 mutations in the multivariable analysis.

Notch1 Inhibitor Demonstrates Activity in NOTCH1-Mutant PDX

The PDX models ACCX9, ACCX11, ACCX5M1, and ACCX6 were screened against brontictuzumab, a humanized immunoglobulin G2 antibody that inhibits Notch1 signaling. ACCX9 harbors an HD NOTCH1 I1680N activating mutation, ACCX5M1 harbors a NOTCH1 S1004L inactivating mutation in the EGF-repeat domain, ACCX11 has a tandem duplication 3′ of NOTCH1, and ACCX6 is NOTCH1 wild-type. All four models have MYB rearrangements. NICD IHC staining was positive in the ACCX9 and ACCX11 models (Data Supplement). Brontictuzumab significantly inhibited tumor growth in ACCX9 (P < .05), but not in the models lacking activating NOTCH1 mutations (Fig 3), providing support for Notch1 as a therapeutic target in this NOTCH1-mutated PDX.
Fig 3.

The Notch1 inhibitor brontictuzumab led to significant tumor growth inhibition exclusively in the ACCX9 patient-derived xenograft model harboring a NOTCH1 activating mutation (I1680N). Mice were treated with brontictuzumab by intraperitoneal injection at 10 mg/kg once every 2 weeks for two total doses, and mean tumor volume was assessed. Error bars indicate SEM. mut, mutated; WT, wild-type. (*) P < .05.

The Notch1 inhibitor brontictuzumab led to significant tumor growth inhibition exclusively in the ACCX9 patient-derived xenograft model harboring a NOTCH1 activating mutation (I1680N). Mice were treated with brontictuzumab by intraperitoneal injection at 10 mg/kg once every 2 weeks for two total doses, and mean tumor volume was assessed. Error bars indicate SEM. mut, mutated; WT, wild-type. (*) P < .05.

Notch1 Inhibitor Led To Partial Response in a Patient With NOTCH1-Mutant ACC

A 28-year-old male presented with a tracheal ACC metastatic to mediastinal nodes, bone, and liver. He received palliative radiotherapy to the tracheal mass and osseous metastases, followed by two lines of chemotherapy. He had evidence of rapid disease progression and underwent biopsy and genotyping of a liver metastasis that revealed a NOTCH1 PEST domain mutation (S2467fs). He was then treated with third- and fourth-line targeted therapy. After further disease progression, a liver lesion biopsy revealed the original NOTCH1 mutation and an additional mutation in the HD (L1600Q; Fig 4A). All mutations were confirmed to be somatic and had similar variant allele frequency. As predicted, the co-occurrence of these mutations conferred greater ligand-independent NOTCH1 activation in vitro (Fig 1C). Notch1 pathway activation was also confirmed by NICD immunostaining (Fig 4B).
Fig 4.

(A) Tumor progression in an index patient with adenoid cystic carcinoma (ACC) was associated with the sequential identification of multiple mutations in the Notch1 pathway. The peripheral blood sample showed wild-type sequence at all NOTCH1 amplicons/codons covered by the assay. (B) Tumor from index patient with NOTCH1-mutant ACC was strongly positive for Notch1 intracellular domain by immunohistochemistry. (C) Patient with NOTCH1-mutant ACC achieved a partial response with a 38% reduction in the target lesion upon treatment with two doses of the anti-Notch1 monoclonal antibody brontictuzumab. CAP, cyclophosphamide, doxorubicin, and cisplatin; Carbo, carboplatin; ISIS482464, STAT3 inhibitor administered under a phase I clinical trial protocol; VAF, variant allele frequency. (†) No tumor available for genotyping. (‡) Genotyping performed in cell-free DNA.

(A) Tumor progression in an index patient with adenoid cystic carcinoma (ACC) was associated with the sequential identification of multiple mutations in the Notch1 pathway. The peripheral blood sample showed wild-type sequence at all NOTCH1 amplicons/codons covered by the assay. (B) Tumor from index patient with NOTCH1-mutant ACC was strongly positive for Notch1 intracellular domain by immunohistochemistry. (C) Patient with NOTCH1-mutant ACC achieved a partial response with a 38% reduction in the target lesion upon treatment with two doses of the anti-Notch1 monoclonal antibody brontictuzumab. CAP, cyclophosphamide, doxorubicin, and cisplatin; Carbo, carboplatin; ISIS482464, STAT3 inhibitor administered under a phase I clinical trial protocol; VAF, variant allele frequency. (†) No tumor available for genotyping. (‡) Genotyping performed in cell-free DNA. The patient was treated with brontictuzumab and achieved a partial response (PR) after two doses (Fig 4C), which was accompanied by marked reduction in bone pain and lactate dehydrogenase levels. The patient unfortunately experienced a further increase in transaminases after cycle 2 that was questionably drug related, which led to brontictuzumab discontinuation and disease progression documented 44 days later. Liver toxicity was rarely observed in patients treated with the same drug.[18] Sequencing of a new paraspinal metastasis confirmed the presence of the two NOTCH1 mutations and an additional mutation in FBXW7 (W606*). A third NOTCH1 mutation in the negative regulatory region (V1721G) was identified retrospectively in cell-free DNA. The patient received sunitinib but had rapid disease progression. He eventually succumbed as a consequence of his disease.

DISCUSSION

Recently, sequencing of ACC samples revealed genomic alterations in the Notch1 pathway in a subset of patients.[4,5] In this study, we expanded our ACC WES efforts to include 46 patients in addition to the 24 previously published,[4] which makes this the largest ACC series to be genotyped. In addition, we analyzed 32 patients who had their tumor tested for NOTCH1 mutations in at least exons 26, 27, and 34. Our results show that the majority of NOTCH1 mutations in ACC (91%) are predicted to be activating. They occur mostly in the T-ALL hotspots and stain positive for NICD. As described in T-ALL,[12] one patient with a juxtamembrane expansion mutation was identified. Furthermore, mutations in the HD and PEST domains co-occurred in two patients, including the reported patient. The double NOTCH1 mutations (S2467fs*/L1600Q) led to ligand-independent expression of the NOTCH1 target gene HES1. Tissue was scarce, which precluded us from establishing whether the NOTCH1 comutations in the index patient occurred in cis, limiting the extrapolation of the luciferase assay results to the clinical setting. Although our data indicate that NOTCH1 mutations are associated with Notch1 pathway activation, they also suggest that pathway activation can occur by alternative routes. Canonical Notch signaling relies on nuclear translocation of NICD, and IHC NICD staining has been extensively validated in genotyped tumors.[16] Our work demonstrates that NICD staining was quite sensitive (100%) in its ability to identify patients with NOTCH1 activating mutations; however, it lacks specificity, because 49% of NOTCH1 wild-type tumors were NICD positive. The specific drivers of Notch1 pathway activation independent of mutations are undetermined. The majority of patients with ACC overexpress Notch1 and its ligands, and receptor-ligand interaction is a known mechanism of pathway activation.[19] Mutations in genes such as SPEN, FBXW7, or RBPJ can also activate the Notch1 pathway. Genes encoding chromatin-state regulators are frequently mutated in ACC, and epigenetic mechanisms may also have a role in Notch1 pathway activation.[4,5,19,20] By using detailed histopathologic and clinical information from 102 patients, we demonstrated that NOTCH1 mutation defines a distinct ACC phenotype. Although the majority of patients with ACC have a protracted clinical course, patients with NOTCH1 mutations have an aggressive disease with a distinct pattern of metastasis and worse prognosis. The association between NOTCH1 mutation and the more dedifferentiated solid subtype, a poor prognostic factor in ACC,[21] suggests that Notch1 drives this histologic prometastatic phenotype. Furthermore, the tendency of tumors with NOTCH1 mutations to metastasize to liver and bone is intriguing. Dysregulation of Notch signaling can cause developmental disorders characterized by defective bile duct formation, heart disease, and skeletal defects.[22] The Notch pathway also plays a role in liver regeneration, osteoblastic maturation, and bone maintenance.[23,24] Expression of JAG1 and DLL4 are seen in the normal liver, whereas JAG1 is overexpressed in bone marrow stromal cells.[25,26] We hypothesize that the expression of Notch1 ligands in these organs may provide a permissive environment for growth; however, the mechanisms associated with the preferential homing of NOTCH1-mutant ACC to liver and bone are currently unknown and merit further investigation. The potential oncogenic and prometastatic role of NOTCH1 mutations in ACC suggests that the pathway may be a therapeutic target. To test this directly, we used the Notch1-specific monoclonal antibody brontictuzumab and found that it significantly inhibited tumor growth exclusively in the ACCX9 NOTCH1-mutant model. The therapeutic potential of targeting Notch is also supported by a preclinical study in which a gamma-secretase inhibitor (GSI) led to tumor growth inhibition of the ACCX9 PDX.[27] The lack of tumor growth inhibition in the NICD-positive ACCX11 model suggests that the mechanism by which the Notch1 pathway is activated may be important in predicting response from specific NOTCH1 inhibitors. After validating the preclinical findings, we reported an index patient with NOTCH1-mutant ACC who achieved a PR after two doses of brontictuzumab administered during a clinical trial. This patient had at least two NOTCH1 mutations before starting treatment, with a third mutation detected in cell-free DNA, probably reflecting this patient’s tumor heterogeneity. Even though it was not possible to determine whether the NOTCH1 and/or FBXW7 mutations were present throughout the disease course or were acquired as the tumor progressed, the appearance of a detectable FBXW7 mutation in a new clinically evident mass is consistent with clonal evolution of the patients’ disease. The acquisition of additional mutations and progressive NOTCH1 oncogene addiction contributing to the clinical evolution of the disease has been described in T-ALL and chronic lymphocytic leukemia.[10,28] Furthermore, in T-ALL, FBXW7 mutations were identified primarily in relapsed patients, and they predicted resistance to GSIs.[11,29] Ultimately, irrespective of the timing in which the NOTCH1 and FBXW7 mutations occurred during the disease course, the presence of multiple alterations promoting Notch1 signaling supports its central role as an oncogenic driver in this cancer. Preclinical studies in T-ALL lines demonstrated that GSIs induce growth suppression particularly in NOTCH1 double mutants; however, the GI toxicity associated with pan-Notch inhibitors has limited its clinical applicability.[10] Although a biomarker predictive of response to Notch1 inhibitors remains to be determined, our findings suggest that mutations in Notch1 pathway genes and NICD staining may be used to select patients for clinical trials with potentially less toxic specific Notch1 inhibitors.[30] In conclusion, our analysis integrating genomic, pathologic, and clinical outcomes data in ACC demonstrates that NOTCH1 mutations are activating and defines a subgroup of patients with an aggressive disease phenotype and distinct pattern of metastatic spread. Notch1 inhibition with a specific antibody demonstrated antitumor activity in preclinical models and an encouraging response in a NOTCH1-mutant patient. Further studies investigating the activity of Notch1 inhibitors in biomarker-selected patients with ACC are warranted.
  29 in total

1.  Altered Notch ligand expression in human liver disease: further evidence for a role of the Notch signaling pathway in hepatic neovascularization and biliary ductular defects.

Authors:  Sarbjit S Nijjar; Lorraine Wallace; Heather A Crosby; Stefan G Hubscher; Alastair J Strain
Journal:  Am J Pathol       Date:  2002-05       Impact factor: 4.307

2.  Activating mutations of NOTCH1 in human T cell acute lymphoblastic leukemia.

Authors:  Andrew P Weng; Adolfo A Ferrando; Woojoong Lee; John P Morris; Lewis B Silverman; Cheryll Sanchez-Irizarry; Stephen C Blacklow; A Thomas Look; Jon C Aster
Journal:  Science       Date:  2004-10-08       Impact factor: 47.728

3.  Discovery of biomarkers predictive of GSI response in triple-negative breast cancer and adenoid cystic carcinoma.

Authors:  Alexander Stoeck; Serguei Lejnine; Andrew Truong; Li Pan; Hongfang Wang; Chongzhi Zang; Jing Yuan; Chris Ware; John MacLean; Philip W Garrett-Engele; Michael Kluk; Jason Laskey; Brian B Haines; Christopher Moskaluk; Leigh Zawel; Stephen Fawell; Gary Gilliland; Theresa Zhang; Brandon E Kremer; Birgit Knoechel; Bradley E Bernstein; Warren S Pear; X Shirley Liu; Jon C Aster; Sriram Sathyanarayanan
Journal:  Cancer Discov       Date:  2014-08-07       Impact factor: 39.397

4.  Whole-genome sequencing identifies recurrent mutations in chronic lymphocytic leukaemia.

Authors:  Xose S Puente; Magda Pinyol; Víctor Quesada; Laura Conde; Gonzalo R Ordóñez; Neus Villamor; Georgia Escaramis; Pedro Jares; Sílvia Beà; Marcos González-Díaz; Laia Bassaganyas; Tycho Baumann; Manel Juan; Mónica López-Guerra; Dolors Colomer; José M C Tubío; Cristina López; Alba Navarro; Cristian Tornador; Marta Aymerich; María Rozman; Jesús M Hernández; Diana A Puente; José M P Freije; Gloria Velasco; Ana Gutiérrez-Fernández; Dolors Costa; Anna Carrió; Sara Guijarro; Anna Enjuanes; Lluís Hernández; Jordi Yagüe; Pilar Nicolás; Carlos M Romeo-Casabona; Heinz Himmelbauer; Ester Castillo; Juliane C Dohm; Silvia de Sanjosé; Miguel A Piris; Enrique de Alava; Jesús San Miguel; Romina Royo; Josep L Gelpí; David Torrents; Modesto Orozco; David G Pisano; Alfonso Valencia; Roderic Guigó; Mónica Bayés; Simon Heath; Marta Gut; Peter Klatt; John Marshall; Keiran Raine; Lucy A Stebbings; P Andrew Futreal; Michael R Stratton; Peter J Campbell; Ivo Gut; Armando López-Guillermo; Xavier Estivill; Emili Montserrat; Carlos López-Otín; Elías Campo
Journal:  Nature       Date:  2011-06-05       Impact factor: 49.962

5.  Histopathological grading of adenoid cystic carcinoma of the head and neck: analysis of currently used grading systems and proposal for a simplified grading scheme.

Authors:  Stijn van Weert; Isaäc van der Waal; Birgit I Witte; C René Leemans; Elisabeth Bloemena
Journal:  Oral Oncol       Date:  2014-10-28       Impact factor: 5.337

Review 6.  Notch and epithelial-mesenchyme transition in development and tumor progression: another turn of the screw.

Authors:  Joaquín Grego-Bessa; Juan Díez; Luika Timmerman; José Luis de la Pompa
Journal:  Cell Cycle       Date:  2004-06-28       Impact factor: 4.534

7.  Mutation signature of adenoid cystic carcinoma: evidence for transcriptional and epigenetic reprogramming.

Authors:  Henry F Frierson; Christopher A Moskaluk
Journal:  J Clin Invest       Date:  2013-06-17       Impact factor: 14.808

8.  Notch signaling and new therapeutic options in liver disease.

Authors:  Carola Maria Morell; Mario Strazzabosco
Journal:  J Hepatol       Date:  2013-12-03       Impact factor: 25.083

9.  Development and characterization of xenograft model systems for adenoid cystic carcinoma.

Authors:  Christopher A Moskaluk; Alexander S Baras; Stefani A Mancuso; Hao Fan; Robert J Davidson; Dawn C Dirks; Wendy L Golden; Henry F Frierson
Journal:  Lab Invest       Date:  2011-06-27       Impact factor: 5.662

10.  The mutational landscape of adenoid cystic carcinoma.

Authors:  Allen S Ho; Kasthuri Kannan; David M Roy; Luc G T Morris; Ian Ganly; Nora Katabi; Deepa Ramaswami; Logan A Walsh; Stephanie Eng; Jason T Huse; Jianan Zhang; Igor Dolgalev; Kety Huberman; Adriana Heguy; Agnes Viale; Marija Drobnjak; Margaret A Leversha; Christine E Rice; Bhuvanesh Singh; N Gopalakrishna Iyer; C Rene Leemans; Elisabeth Bloemena; Robert L Ferris; Raja R Seethala; Benjamin E Gross; Yupu Liang; Rileen Sinha; Luke Peng; Benjamin J Raphael; Sevin Turcan; Yongxing Gong; Nikolaus Schultz; Seungwon Kim; Simion Chiosea; Jatin P Shah; Chris Sander; William Lee; Timothy A Chan
Journal:  Nat Genet       Date:  2013-05-19       Impact factor: 38.330

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  50 in total

1.  Phase II Study of Lenvatinib in Patients With Progressive, Recurrent or Metastatic Adenoid Cystic Carcinoma.

Authors:  Vatche Tchekmedyian; Eric J Sherman; Lara Dunn; Crystal Tran; Shrujal Baxi; Nora Katabi; Cristina R Antonescu; Irina Ostrovnaya; Sofia S Haque; David G Pfister; Alan L Ho
Journal:  J Clin Oncol       Date:  2019-04-02       Impact factor: 44.544

2.  MicroRNA dysregulation in adenoid cystic carcinoma of the salivary gland in relation to prognosis and gene fusion status: a cohort study.

Authors:  Simon Andreasen; Qihua Tan; Tina Klitmøller Agander; Thomas V O Hansen; Petr Steiner; Kristine Bjørndal; Estrid Høgdall; Stine Rosenkilde Larsen; Daiva Erentaite; Caroline Holkmann Olsen; Benedicte Parm Ulhøi; Steffen Heegaard; Irene Wessel; Preben Homøe
Journal:  Virchows Arch       Date:  2018-08-01       Impact factor: 4.064

3.  Diffuse Staining for Activated NOTCH1 Correlates With NOTCH1 Mutation Status and Is Associated With Worse Outcome in Adenoid Cystic Carcinoma.

Authors:  Dipti P Sajed; William C Faquin; Chris Carey; Eric A Severson; Amir H Afrogheh; Carl A Johnson; Stephen C Blacklow; Nicole G Chau; Derrick T Lin; Jeffrey F Krane; Vickie Y Jo; Joaquín J Garcia; Lynette M Sholl; Jon C Aster
Journal:  Am J Surg Pathol       Date:  2017-11       Impact factor: 6.394

4.  Genetic hallmarks of recurrent/metastatic adenoid cystic carcinoma.

Authors:  Allen S Ho; Angelica Ochoa; Gowtham Jayakumaran; Ahmet Zehir; Cristina Valero Mayor; Justin Tepe; Vladimir Makarov; Martin G Dalin; Jie He; Mark Bailey; Meagan Montesion; Jeffrey S Ross; Vincent A Miller; Lindsay Chan; Ian Ganly; Snjezana Dogan; Nora Katabi; Petros Tsipouras; Patrick Ha; Nishant Agrawal; David B Solit; P Andrew Futreal; Adel K El Naggar; Jorge S Reis-Filho; Britta Weigelt; Alan L Ho; Nikolaus Schultz; Timothy A Chan; Luc Gt Morris
Journal:  J Clin Invest       Date:  2019-10-01       Impact factor: 14.808

5.  Loss of Notch1 Activity Inhibits Prostate Cancer Growth and Metastasis and Sensitizes Prostate Cancer Cells to Antiandrogen Therapies.

Authors:  Meghan A Rice; En-Chi Hsu; Merve Aslan; Ali Ghoochani; Austin Su; Tanya Stoyanova
Journal:  Mol Cancer Ther       Date:  2019-04-26       Impact factor: 6.261

6.  Solid-type adenoid cystic carcinoma of the breast, a distinct molecular entity enriched in NOTCH and CREBBP mutations.

Authors:  Julie Massé; Caroline Truntzer; Romain Boidot; Emmanuel Khalifa; Gaëlle Pérot; Valérie Velasco; Laétitia Mayeur; Claire Billerey-Larmonier; Larry Blanchard; Hélène Charitansky; Isabelle Soubeyran; Richard Iggo; Laurent Arnould; Gaëtan MacGrogan
Journal:  Mod Pathol       Date:  2019-12-19       Impact factor: 7.842

7.  Pharmacological disruption of the Notch transcription factor complex.

Authors:  Rajwinder Lehal; Jelena Zaric; Michele Vigolo; Charlotte Urech; Viktoras Frismantas; Nadine Zangger; Linlin Cao; Adeline Berger; Irene Chicote; Sylvain Loubéry; Sung Hee Choi; Ute Koch; Stephen C Blacklow; Hector G Palmer; Beat Bornhauser; Marcos González-Gaitán; Yvan Arsenijevic; Vincent Zoete; Jon C Aster; Jean-Pierre Bourquin; Freddy Radtke
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-29       Impact factor: 11.205

8.  Distant metastasis of salivary gland cancer: Incidence, management, and outcomes.

Authors:  Ximena Mimica; Marlena McGill; Ashley Hay; Daniella Karassawa Zanoni; Jatin P Shah; Richard J Wong; Alan Ho; Marc A Cohen; Snehal G Patel; Ian Ganly
Journal:  Cancer       Date:  2020-02-25       Impact factor: 6.860

9.  Spatio-Temporal Genomic Heterogeneity, Phylogeny, and Metastatic Evolution in Salivary Adenoid Cystic Carcinoma.

Authors:  Bin Liu; Yoshitsugu Mitani; Xiayu Rao; Mark Zafereo; Jianjun Zhang; Jianhua Zhang; P Andrew Futreal; Guillermina Lozano; Adel K El-Naggar
Journal:  J Natl Cancer Inst       Date:  2017-10-01       Impact factor: 13.506

10.  Prognostic significance of 1p36 locus deletion in adenoid cystic carcinoma of the salivary glands.

Authors:  Petr Šteiner; Simon Andreasen; Petr Grossmann; Lukáš Hauer; Tomáš Vaněček; Markéta Miesbauerová; Thalita Santana; Katalin Kiss; David Slouka; Alena Skálová
Journal:  Virchows Arch       Date:  2018-04-04       Impact factor: 4.064

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