Marchiò

CUTseq is a versatile method for preparing multiplexed DNA sequencing libraries from low-input samples

 2019 Oct 18;10(1):4732. doi: 10.1038/s41467-019-12570-2

Author information

1
Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, SE-17165, Sweden.
2
Department of Pneumonology, Oncology and Allergology, Medical University of Lublin, 20954, Lublin, Poland.
3
Pathology Unit, Candiolo Cancer Institute, FPO-IRCCS, 10060, Candiolo (TO), Italy.
4
Department of Medical Sciences, University of Turin, Turin, Italy.
5
Department of Oncology and Pathology, Karolinska Institutet, Stockholm, SE-17177, Sweden.
6
Department of Clinical Pathology, Karolinska University Laboratory, 17176, Stockholm, Sweden.
7
Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, SE-17165, Sweden. magda.bienko@ki.se.
8
Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, SE-17165, Sweden. nicola.crosetto@ki.se

 

2019

Abstract

Current multiplexing strategies for massively parallel sequencing of genomic DNA mainly rely on library indexing in the final steps of library preparation. This procedure is costly and time-consuming, because a library must be generated separately for each sample. Furthermore, library preparation is challenging in the case of fixed samples, such as DNA extracted from formalin-fixed paraffin-embedded (FFPE) tissues. Here we describe CUTseq, a method that uses restriction enzymes and in vitro transcription to barcode and amplify genomic DNA prior to library construction. We thoroughly assess the sensitivity and reproducibility of CUTseq in both cell lines and FFPE samples, and demonstrate an application of CUTseq for multi-region DNA copy number profiling within single FFPE tumor sections, to assess intratumor genetic heterogeneity at high spatial resolution. In conclusion, CUTseq is a versatile and cost-effective method for library preparation for reduced representation genome sequencing, which can find numerous applications in research and diagnostics.

 

PAX8-GLIS3 gene fusion is a pathognomonic genetic alteration of hyalinizing trabecular tumors of the thyroid

Marchiò C1,2Da Cruz Paula A3Gularte-Merida R4Basili T4Brandes A4da Silva EM4Silveira C4Ferrando L4,5Metovic J6Maletta F6Annaratone L1,2Pareja F4Rubin BP7Hoschar AP7De Rosa G8La Rosa S9Bongiovanni M9Purgina B10Piana S11Volante M12Weigelt B4Reis-Filho JS13,14Papotti M15.

 2019 Dec;32(12):1734-1743. doi: 10.1038/s41379-019-0313-x. Epub 2019 Jul 4.

2019

Author information

1
Pathology Division, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
2
Department of Medical Sciences, University of Turin, Torino, Italy.
3
Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
4
Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
5
Department of Internal Medicine, University of Genova, Genova, Italy.
6
Department of Oncology, University of Turin, at Città della Salute Hospital, Torino, Italy.
7
Department of Pathology, Cleveland Clinic, Cleveland, OH, USA.
8
Pathology Division, Mauriziano Hospital, Torino, Italy.
9
Service of Clinical Pathology, Lausanne University Hospital, Institute of Pathology, Lausanne, Switzerland.
10
Department of Pathology and Laboratory Medicine, Ottawa Hospital, ON, Canada.
11
Pathology Unit, Arcispedale Santa Maria Nuova, Azienda USL-IRCCS, Reggio Emilia, Italy.
12
San Luigi Gonzaga Hospital and Department of Oncology, University of Turin, Orbassano, Italy.
13
Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. reisfilj@mskcc.org.
14
Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA. reisfilj@mskcc.org.
15
Department of Oncology, University of Turin, at Città della Salute Hospital, Torino, Italy. mauro.papotti@unito.it.

 

Abstract

The hyalinizing trabecular adenoma/tumor is a rare and poorly characterized follicular-derived thyroid neoplasm recently shown to harbor recurrent PAX8-GLIS1 or PAX8-GLIS3 gene fusions. Here we sought to define the repertoire of genetic alterations of hyalinizing trabecular tumors, and whether PAX8-GLIS3 fusions are pathognomonic for hyalinizing trabecular tumors. A discovery series of eight hyalinizing trabecular tumors was subjected to RNA-sequencing (n = 8), whole-exome sequencing (n = 3) or targeted massively parallel sequencing (n = 5). No recurrent somatic mutations or copy number alterations were identified in hyalinizing trabecular tumor, whereas RNA-sequencing revealed the presence of a recurrent genetic rearrangement involving PAX8 (2q14.1) and GLIS3 (9p24.2) genes in all cases. In this in-frame fusion gene, which comprised exons 1-2 of PAX8 and exons 3-11 of GLIS3, GLIS3 is likely placed under the regulation of PAX8. Reverse transcription RT-PCR and/or fluorescence in situ hybridization analyses of a validation series of 26 hyalinizing trabecular tumors revealed that the PAX8-GLIS3 gene fusion was present in all hyalinizing trabecular tumors (100%). No GLIS1 rearrangements were identified. Conversely, no PAX8-GLIS3 gene fusions were detected in a cohort of 237 control thyroid neoplasms, including 15 trabecular thyroid lesions highly resembling hyalinizing trabecular tumor from a morphological standpoint, as well as trabecular/solid follicular adenomas, solid/trabecular variants of papillary carcinoma, and Hurthle cell adenomas or carcinomas. Our data provide evidence to suggest that the PAX8-GLIS3 fusion is pathognomonic for hyalinizing trabecular tumors, and that the presence of the PAX8-GLIS3 fusion in thyroid neoplasms may be used as an ancillary marker for the diagnosis of hyalinizing trabecular tumor, thereby avoiding overtreatment in case of misdiagnoses with apparently similar malignant tumors.

 

Establishment and Characterization of a New Intrahepatic Cholangiocarcinoma Cell Line Resistant to Gemcitabine

 

Varamo C1,2Peraldo-Neia C3Ostano P4Basiricò M5Raggi C6,7Bernabei P8Venesio T9Berrino E10,11Aglietta M12,13Leone F14,15Cavalloni G16.

 2019 Apr 11;11(4). pii: E519. doi: 10.3390/cancers11040519.

2019

Author information

1
Department of Oncology, University of Turin, 10100 Torino, Italy. chiara.varamo@unito.it.
2
Laboratory of Tumor Inflammation and Angiogenesis, Department of Oncology, Center for Cancer Biology, KU Leuven, B3000 Leuven, Belgium. chiara.varamo@unito.it.
3
Cancer Genomics Lab, Fondazione Edo ed Elvo Tempia, 13900 Biella, Italy. caterina.peraldoneia@ircc.it.
4
Cancer Genomics Lab, Fondazione Edo ed Elvo Tempia, 13900 Biella, Italy. paola.ostano@gmail.com.
5
Division of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Torino, Italy. marco.basirico@ircc.it.
6
Center for Autoimmune Liver Diseases, Humanitas Clinical and Research Center, 20089 Rozzano, Italy. chiara.raggi@unifi.it.
7
Dept. Medicina Sperimentale e Clinica, Università di Firenze, 50100 Florence, Italy. chiara.raggi@unifi.it.
8
Flow Cytometry Center, Candiolo Cancer Institute FPO-IRCCS, 10060 Candiolo, Torino, Italy. paola.bernabei@ircc.it.
9
Molecular Pathology Lab, Unit of Pathology, Candiolo Cancer Institute FPO-IRCCS, 10060 Candiolo, Torino, Italy. tiziana.venesio@ircc.it.
10
Molecular Pathology Lab, Unit of Pathology, Candiolo Cancer Institute FPO-IRCCS, 10060 Candiolo, Torino, Italy. enrico.berrino@ircc.it.
11
Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126 Turin, Italy. enrico.berrino@ircc.it.
12
Department of Oncology, University of Turin, 10100 Torino, Italy. massimo.aglietta@unito.it.
13
Division of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Torino, Italy. massimo.aglietta@unito.it.
14
Department of Oncology, University of Turin, 10100 Torino, Italy. francesco.leone@unito.it.
15
Division of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Torino, Italy. francesco.leone@unito.it.
16
Division of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Torino, Italy. giuliana.cavalloni@ircc.it.

 

Abstract

Intrahepatic cholangiocarcinoma (ICC) is one of the most lethal liver cancers. Late diagnosis and chemotherapy resistance contribute to the scarce outfit and poor survival. Resistance mechanisms are still poorly understood. Here, we established a Gemcitabine (GEM) resistant model, the MT-CHC01R1.5 cell line, obtained by a GEM gradual exposure (up to 1.5 µM) of the sensitive counterpart, MT-CHC01. GEM resistance was irreversible, even at high doses. The in vitro and in vivo growth was slower than MT-CHC01, and no differences were highlighted in terms of migration and invasion. Drug prediction analysis suggested that Paclitaxel and Doxycycline might overcome GEM resistance. Indeed, in vitro MT-CHC01R1.5 growth was reduced by Paclitaxel and Doxycycline. Importantly, Doxycycline pretreatment at very low doses restored GEM sensitivity. To assess molecular mechanisms underlying the acquisition of GEM resistance, a detailed analysis of the transcriptome in MT-CHC01R1.5 cells versus the corresponding parental counterpart was performed. Transcriptomic analysis showed that most up-regulated genes were involved in cell cycle regulation and in the DNA related process, while most down-regulated genes were involved in the response to stimuli, xenobiotic metabolism, and angiogenesis. Furthermore, additional panels of drug resistance and epithelial to mesenchymal transition genes (n = 168) were tested by qRT-PCR and the expression of 20 genes was affected. Next, based on a comparison between qRT-PCR and microarray data, a list of up-regulated genes in MT-CHC01R1.5 was selected and further confirmed in a primary cell culture obtained from an ICC patient resistant to GEM. In conclusion, we characterized a new GEM resistance ICC model that could be exploited either to study alternative mechanisms of resistance or to explore new therapies.

 

Tissues under-vacuum to overcome suboptimal preservation

Annaratone L1Marchiò C2Sapino A3.

 2019 Sep 25;52:104-109. doi: 10.1016/j.nbt.2019.05.007. Epub 2019 May 28.

 

2019

Author information

1
Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy. Electronic address: laura.annaratone@unito.it.
2
Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy; Candiolo Cancer Institute, FPO-IRCCS, Str. Provinciale 142 km 3.95, 10060, Candiolo (Turin), Italy. Electronic address: caterina.marchio@unito.it.
3
Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy; Candiolo Cancer Institute, FPO-IRCCS, Str. Provinciale 142 km 3.95, 10060, Candiolo (Turin), Italy. Electronic address: anna.sapino@ircc.it.

 

Abstract

The accuracy of histopathological diagnosis is strictly reliant on adequate tissue preservation, which is completely dependent on pre-analytical variables. Among these variables, the time interval between the end of surgical excision to the onset of fixation (the cold ischemia time) may adversely affect preservation of tissue morphology, influencing the interpretation and reproducibility of diagnosis. During this time interval, the activation of enzymes may produce autolysis and degradation of antigens and nucleic acids, thus potentially affecting immunocytochemical and molecular results. Several studies have described under-vacuum at 4 °C storage of fresh surgical specimens as a safe and reliable method to control cold ischemia and preserve fresh tissues, as well as to standardize fixation times and implement tissue-banking. This review article gives a systematic overview of the advantages and drawbacks of the use of under-vacuum tissue preservation and cooling in surgical pathology, highlighting the impact this procedure may have on diagnostic and experimental pathology. It also documents our experience acquired within daily practice and national and international projects.

 

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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