Oncology

TERT Promoter Mutations are Associated with Visceral Spreading in Melanoma of the Trunk

Osella-Abate S1Bertero L2Senetta R3Mariani S4Lisa F5Coppola V6Metovic J7Pasini B8Puig S S9Fierro MT10Manrique-Silva E11Kumar R12Nagore E13Cassoni P14Ribero S15

 2019 Mar 30;11(4). pii: E452. doi: 10.3390/cancers11040452.

2019

Author information

1
Department of Medical Sciences, Pathology Unit, University of Torino, 10126 Torino, Italy. simona.osellaabate@unito.it.
2
Department of Medical Sciences, Pathology Unit, University of Torino, 10126 Torino, Italy. luca.bertero@unito.it.
3
Pathology Division, "Città della Salute e della Scienza di Torino" University Hospital, 10126 Torino, Italy. rsenetta@cittadellasalute.to.it.
4
Department of Medical Sciences, Pathology Unit, University of Torino, 10126 Torino, Italy. sara.mariani@unito.it.
5
Department of Medical Sciences, Dermatology Unit, University of Torino, 10126 Torino, Italy. francesco.lisa@unito.it.
6
Department of Medical Sciences, Pathology Unit, University of Torino, 10126 Torino, Italy. vittoria.coppola8@gmail.com.
7
Department of Medical Sciences, Pathology Unit, University of Torino, 10126 Torino, Italy. jasna.metovic@unito.it.
8
Department of Medical Sciences, Medical Genetics Unit, University of Torino, 10126 Torino, Italy. barbara.pasini@unito.it.
9
Melanoma Unit, Dermatology Department, Hospital Clinic, Universitat de Barcelona & Institut d'investigacions biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain. susipuig@gmail.com.
10
Department of Medical Sciences, Dermatology Unit, University of Torino, 10126 Torino, Italy. mariateresa.fierro@unito.it.
11
Servicio de Dermatologia, Instituto Valenciano de Oncología, 46009 Valencia, Spain. emanriques19@gmail.com.
12
Division of Molecular Genetic Epidemiology, German Cancer Research Center, 69120 Heidelberg, Germany. r.kumar@dkfz.de.
13
Servicio de Dermatologia, Instituto Valenciano de Oncología, 46009 Valencia, Spain. eduardo_nagore@ono.com.
14
Department of Medical Sciences, Pathology Unit, University of Torino, 10126 Torino, Italy. paola.cassoni@unito.it.
15
Department of Medical Sciences, Dermatology Unit, University of Torino, 10126 Torino, Italy. simone.ribero@unito.it.

 

Abstract

Survival predictions are currently determined on the basis of NRAS/BRAF mutations, even though TERT promoter mutations have been recently associated with a poor prognosis in stage I-II melanomas. Usually, it is not recommended to perform a mutational test on primary melanoma, as the results do not always reflect the mutational status of metastases. In particular, trunk melanomas have been reported to have an unfavourable prognosis. A series of 105 advanced melanoma patients were analysed by TERT promoter Sanger sequencing. Univariate/multivariate binary logistic regression models were performed using progression to a visceral site as the dependent variable and patient/tumour characteristics as covariates. Performance of the model was assessed in an external independent primary melanoma patients' dataset. Male gender (odds ratio (OR), 344; 95% CI, 1.12⁻10.6; p = 0.031), AJCC (American Joint Committee on Cancer) classification (OR, 022; 95% CI, 0.07⁻0.67; p = 0.008), SLNB (Sentinel Lymph Node Biopsy) status (OR, 3.05; 95% CI, 1.06⁻8.78; p = 0.039) and TERT-mutated trunk lesions (OR, 3.78; 95% CI, 1.35⁻10.6; p =  0.011) were significantly associated with the risk of developing a visceral spreading as first site of progression using multivariate logistic regression analysis. These results were confirmed in the external validation control group. Therefore, in trunk primary melanomas, due to their high risk of progression to visceral sites, we encourage somatic TERT mutation analysis at diagnosis to identify those patients who would potentially benefit from a more intensive follow-up protocol and a prompt initiation of therapy.

 

Review: Peering through a keyhole: liquid biopsy in primary and metastatic central nervous system tumours

Bertero L1,2, Siravegna G3,4, Rudà R5,6, Soffietti R5,6, Bardelli A3,4, Cassoni P1,2.

 2019 Dec;45(7):655-670. doi: 10.1111/nan.12553. Epub 2019 May 14.

Author information

1
Pathology Unit, Department of Medical Sciences, University of Turin, Torino, Italy.
2
Pathology Unit, Città della Salute e della Scienza University Hospital, Turin, Torino, Italy.
3
Department of Oncology, University of Turin, Candiolo (Turin), Italy.
4
Candiolo Cancer Institute, FPO-IRCCS, Candiolo (Turin), Italy.
5
Neuro-oncology Unit, Department of Neurosciences, University of Turin, Italy.
6
Neuro-oncology Unit, Città della Salute e della Scienza University Hospital, Turin, Italy.
 

 

Abstract

Tumour molecular profiling by liquid biopsy is being investigated for a wide range of research and clinical purposes. The possibility of repeatedly interrogating the tumour profile using minimally invasive procedures is helping to understand spatial and temporal tumour heterogeneity, and to shed a light on mechanisms of resistance to targeted therapies. Moreover, this approach has been already implemented in clinical practice to address specific decisions regarding patients' follow-up and therapeutic management. For central nervous system (CNS) tumours, molecular profiling is particularly relevant for the proper characterization of primary neoplasms, while CNS metastases can significantly diverge from primary disease or extra-CNS metastases, thus compelling a dedicated assessment. Based on these considerations, effective liquid biopsy tools for CNS tumours are highly warranted and a significant amount of data have been accrued over the last few years. These results have shown that liquid biopsy can provide clinically meaningful information about both primary and metastatic CNS tumours, but specific considerations must be taken into account, for example, when choosing the source of liquid biopsy. Nevertheless, this approach is especially attractive for CNS tumours, as repeated tumour sampling is not feasible. The aim of our review was to thoroughly report the state-of-the-art regarding the opportunities and challenges posed by liquid biopsy in both primary and secondary CNS tumours.

 

Prognostic Characterization of Higher-Grade Meningiomas: A Histopathological Score to Predict Progression and Outcome

 
Bertero L1, Dalla Dea G1, Osella-Abate S1, Botta C1, Castellano I1, Morra I2, Pollo B3, Calatozzolo C3, Patriarca S4, Mantovani C5, Rudà R6, Tardivo V7, Zenga F7, Garbossa D7, Papotti M8, Soffietti R6, Ricardi U5, Cassoni P1.
 
 2019 Mar 1;78(3):248-256. doi: 10.1093/jnen/nly127.

2019

Author information

1
Pathology Unit, Department of Medical Sciences, University of Turin, Torino, Italy.
2
Pathology Unit, AOU Città della Salute e della Scienza di Torino, Torino, Italy.
3
Neuropathology Unit, Fondazione IRCCS Istituto Neurologico "C. Besta," Milano, Italy.
4
Piedmont Cancer Registry - CRPT, AOU Città della Salute e della Scienza di Torino, Torino, Italy.
5
Radiation Oncology Unit, Department of Oncology, University of Turin, Torino, Italy.
6
Neuro-oncology Unit, Department of Neurosciences, University of Turin, Torino, Italy.
7
Neurosurgery Unit, Department of Neurosciences, University of Turin, Torino, Italy.
8
Pathology Unit, Department of Oncology, University of Turin, Torino, Italy.
 

Abstract

Higher-grade meningiomas (WHO grade II and III) represent a diagnostic and prognostic challenge. We assessed the pathological and molecular characteristics of 94 higher-grade meningiomas (85 grade II, 9 grade III) to identify novel prognostic parameters. Higher mitotic count (p = 0.018), diffuse (≥50%) prominent nucleoli (p < 0.001), and sheeting (p < 0.001) were associated with recurrence. Lower SSTR2a-positive cells median rate (p = 0.048) and TERT promoter mutations (p = 0.014) were associated with recurrence and patient death, respectively; further analyses did not identify other outcome associations. Presence of Ki67 hot spots was associated with a shorter progression-free survival (PFS), independently of WHO grade at multivariate analysis (HR = 3.35, p = 0.008). Necrosis was related to a poorer overall survival (OS) at univariate (focal: HR = 4.55, p = 0.041 and diffuse: HR = 7.38, p = 0.020) and Kaplan-Meier analyses. A prognostic score was designed based on previous results: Presence of diffuse (≥50%) prominent nucleoli (0/1 point), diffuse (≥50%) sheeting (0/1 point), focal (<50%) or diffuse (≥50%) necrosis (0/1/2 points), and Ki67 hot spots (0/1 point). A total score ≥4 predicted poorer PFS and OS by Kaplan-Meier (PFS: 1.7 vs 6.4 years, p < 0.001 and OS: 5.2 vs 10.8 years, p = 0.001) and multivariate (PFS: HR = 5.98, p < 0.001 and OS: HR = 2.99, p = 0.048) analyses. These results were confirmed in an independent series of 58 grade II meningiomas (PFS: HR = 7.22, p = 0.002 and OS: HR = 9.69, p = 0.003). These associations and the integrated score could complement WHO grading.

 

RollFISH achieves robust quantification of single-molecule RNA biomarkers in paraffin-embedded tumor tissue samples

Wu C1Simonetti M2Rossell C2Mignardi M1Mirzazadeh R2Annaratone L3Marchiò C3,4Sapino A3,4Bienko M2Crosetto N2Nilsson M1,5

 2018 Nov 28;1:209. doi: 10.1038/s42003-018-0218-0. eCollection 2018.

2018

Author information

1
Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Tomtebodavägen 23a, 17165 Solna, Stockholm Sweden.
2
Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Tomtebodavägen 23a, 17165 Solna, Stockholm Sweden.
3
Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126 Turin, Italy.
4
Pathology Unit, Candiolo Cancer Institute-FPO-IRCCS, Strada Provinciale 142, 10060 Candiolo (TO), Italy.
5
Department of Immunology, Genetics and Pathology, Uppsala University, Dag Hammarskjölds väg 20, 75185 Uppsala, Sweden.
 

Abstract

Single-molecule RNA fluorescence in situ hybridization (smFISH) represents a promising approach to quantify the expression of clinically useful biomarkers in tumor samples. However, routine application of smFISH to formalin-fixed, paraffin-embedded (FFPE) samples is challenging due to the low signal intensity and high background noise. Here we present RollFISH, a method combining the specificity of smFISH with the signal boosting of rolling circle amplification. We apply RollFISH to quantify widely used breast cancer biomarkers in cell lines and FFPE samples. Thanks to the high signal-to-noise ratio, we can visualize selected biomarkers at low magnification (20 × ) across entire tissue sections, and thus assess their spatial heterogeneity. Lastly, we apply RollFISH to quantify HER2 mRNA in 150 samples on a single tissue microarray, achieving a sensitivity and specificity of detection of HER2-positive samples of ~90%. RollFISH is a robust method for quantifying the expression and intratumor heterogeneity of biomarkers in FFPE tissues.

 

The Dilemma of HER2 Double-equivocal Breast Carcinomas: Genomic Profiling and Implications for Treatment

 

Marchiò C1,2Dell'Orto P3Annaratone L1Geyer FC4Venesio T5Berrino E5Verdun di Cantogno L6Garofoli A7Rangel N1,8Casorzo L5dell'Aglio C5Gugliotta P1Trisolini E1Beano A9Pietribiasi F10Orlassino R11Cassoni P1Pich A12Montemurro F13Mottolese M14Vincent-Salomon A2Penault-Llorca F15Medico E5,16Ng CKY7Viale G3,17Sapino A1,5.

 

 2018 Sep;42(9):1190-1200. doi: 10.1097/PAS.0000000000001100.

2018

Author information

1
Departments of Medical Sciences.
2
Pathology-Genetics-Immunology Department, Institut Curie, Paris.
3
Pathology Department, European Institute of Oncology.
4
Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.
5
Candiolo Cancer Institute-FPO-IRCCS.
6
Pathology Unit.
7
Institute of Pathology, University Hospital Basel, Basel, Switzerland.
8
Natural and Mathematical Sciences Faculty, University of the Rosario, Bogotá, Colombia.
9
Oncology Unit, University Hospital Città della Salute e della Scienza di Torino.
10
Pathology Division, Santa Croce Hospital, Moncalieri.
11
Department of Pathology, Ivrea Community Hospital (A.S.L. TO4), Turin, Italy.
12
Molecular Biotechnology and Health Sciences.
13
Investigative Clinical Oncology, FPO-Candiolo Cancer Institute (IRCCS), Candiolo.
14
Department of Pathology, Regina Elena National Cancer Institute, Rome, Italy.
15
Jean Perrin Center, Clermont-Ferrand France and UMRINSERM U1240, University of Auvergne, Clermont-Ferrand, France.
16
Oncology, University of Turin, Turin.
17
Department of Oncology and Oncohematology, University of Milan, Milan.

 

Abstract

The American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) 2013 guidelines for HER2 assessment have increased the number of HER2 equivocal breast carcinomas following in situ hybridization reflex testing, that is, HER2 "double equivocal" (equivocal protein expression and equivocal gene copy number). Forty-five double-equivocal carcinomas were subjected to Prosigna analysis. Twenty-seven cases were investigated for the expression of genes found to be differentially expressed between estrogen receptor (ER)-positive/HER2-positive (N=22) and ER-positive/HER2-negative (N=22) control cases. Twenty-nine of the 45 cases were also analyzed by targeted sequencing using a panel of 14 genes. We then explored the pathologic complete response rates in an independent series of double-equivocal carcinoma patients treated with trastuzumab-containing chemotherapy. All cases were ER-positive, with a mean Ki67 of 28%. Double-equivocal carcinomas were predominantly luminal B (76%); 9 cases (20%) were luminal A, and 2 cases (4%) HER2-enriched. The majority (73%) showed a high risk of recurrence by Prosigna, even when the carcinomas were small (<2 cm), node-negative/micrometastatic, and/or grade 2. Double-equivocal carcinomas showed TP53 (6/29, 20%), PIK3CA (3/29, 10%), HER2 (1/29, 3%), and MAP2K4 (1/29, 3%) mutations. Compared with grade-matched ER-positive/HER2-negative breast carcinomas from METABRIC, double-equivocal carcinomas harbored more frequently TP53 mutations and less frequently PIK3CA mutations (P<0.05). No significant differences were observed with grade-matched ER-positive/HER2-positive carcinomas. Lower pathologic complete response rates were observed in double-equivocal compared with HER2-positive patients (10% vs. 60%, P=0.009). Double-equivocal carcinomas are preferentially luminal B and show a high risk of recurrence. A subset of these tumors can be labeled as HER2-enriched by transcriptomic analysis. HER2 mutations can be identified in HER2 double-equivocal cases.

 

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