1
|
Arakawa Y, Elloumi F, Varma S, Khandagale P, Jo U, Kumar S, Roper N, Reinhold WC, Robey RW, Takebe N, Gottesman MM, Thomas CJ, Boeva V, Berruti A, Abate A, Tamburello M, Sigala S, Hantel C, Weigand I, Wierman ME, Kiseljak-Vassiliades K, Del Rivero J, Pommier Y. A Database Tool Integrating Genomic and Pharmacologic Data from Adrenocortical Carcinoma Cell Lines, PDX, and Patient Samples. CANCER RESEARCH COMMUNICATIONS 2024; 4:2384-2398. [PMID: 39162009 PMCID: PMC11389377 DOI: 10.1158/2767-9764.crc-24-0100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 06/07/2024] [Accepted: 08/14/2024] [Indexed: 08/21/2024]
Abstract
Adrenocortical carcinoma (ACC) is a rare and highly heterogeneous disease with a notably poor prognosis due to significant challenges in diagnosis and treatment. Emphasizing on the importance of precision medicine, there is an increasing need for comprehensive genomic resources alongside well-developed experimental models to devise personalized therapeutic strategies. We present ACC_CellMinerCDB, a substantive genomic and drug sensitivity database (available at https://discover.nci.nih.gov/acc_cellminercdb) comprising ACC cell lines, patient-derived xenografts, surgical samples, and responses to more than 2,400 drugs examined by the NCI and National Center for Advancing Translational Sciences. This database exposes shared genomic pathways among ACC cell lines and surgical samples, thus authenticating the cell lines as research models. It also allows exploration of pertinent treatment markers such as MDR-1, SOAT1, MGMT, MMR, and SLFN11 and introduces the potential to repurpose agents like temozolomide for ACC therapy. ACC_CellMinerCDB provides the foundation for exploring larger preclinical ACC models. SIGNIFICANCE ACC_CellMinerCDB, a comprehensive database of cell lines, patient-derived xenografts, surgical samples, and drug responses, reveals shared genomic pathways and treatment-relevant markers in ACC. This resource offers insights into potential therapeutic targets and the opportunity to repurpose existing drugs for ACC therapy.
Collapse
Affiliation(s)
- Yasuhiro Arakawa
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Fathi Elloumi
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Sudhir Varma
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Prashant Khandagale
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Ukhyun Jo
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Suresh Kumar
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Nitin Roper
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - William C Reinhold
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Robert W Robey
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Naoko Takebe
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Michael M Gottesman
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | | | - Valentina Boeva
- Department of Computer Science, Institute for Machine Learning, ETH Zurich, Zurich, Switzerland
| | - Alfredo Berruti
- Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Medical Oncology Unit, University of Brescia, Azienda Socio Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy
| | - Andrea Abate
- Section of Pharmacology, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Mariangela Tamburello
- Section of Pharmacology, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Sandra Sigala
- Section of Pharmacology, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Constanze Hantel
- Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital Zurich, and University of Zurich, Zürich, Switzerland
- Medizinische Klinik und Poliklinik III, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | - Isabel Weigand
- Division of Endocrinology and Diabetology, Department of Internal Medicine I, University Hospital, University of Würzburg, Würzburg, Germany
| | - Margaret E Wierman
- Department of Medicine-Endocrinology/Metabolism/Diabetes, University of Colorado, Anschutz Medical Campus, Aurora, Colorado
| | - Katja Kiseljak-Vassiliades
- Department of Medicine-Endocrinology/Metabolism/Diabetes, University of Colorado, Anschutz Medical Campus, Aurora, Colorado
| | - Jaydira Del Rivero
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Yves Pommier
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| |
Collapse
|
2
|
Kimpel O, Altieri B, Dischinger U, Fuss CT, Kurlbaum M, Fassnacht M. Early Detection of Recurrence and Progress Using Serum Steroid Profiling by LC-MS/MS in Patients with Adrenocortical Carcinoma. Metabolites 2023; 14:20. [PMID: 38248823 PMCID: PMC10819433 DOI: 10.3390/metabo14010020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/21/2023] [Accepted: 12/26/2023] [Indexed: 01/23/2024] Open
Abstract
Serum liquid chromatography-tandem mass spectrometry (LC-MS/MS) steroid profiling is used for the diagnosis of adrenocortical carcinoma (ACC). Guidelines recommend endocrine work-up in addition to radiological imaging for follow-up in ACC, but data on this topic are scarce. Patients were included in this retrospective study if pre-therapeutic hormone values, regular tumour evaluation by imaging, steroid measurements by LC-MS/MS, and details on therapies were available. The utility of steroid profiles in detecting recurrence or disease progression was assessed, whereby "endocrine progress" was defined by an elevation of at least 3 of 13 analysed hormones. Cohort A included 47 patients after R0 resection, of whom 15 experienced recurrence and 32 did not. In cohort B, 52 patients with advanced disease (including 7 patients of cohort A with recurrence) could be evaluated on 74 visits when progressive disease was documented. In 20 of 89 cases with documented disease progression, "endocrine progress" was detectable prior to radiological progress. In these cases, recurrence/progression was detected at a median of 32 days earlier by steroid measurement than by imaging, with 11-deoxycortisol and testosterone being the most sensitive markers. Notably, these patients had significantly larger tumour burden. In conclusion, steroid profiling by LC-MS/MS is of value in detecting recurrent/progressive disease in ACC.
Collapse
Affiliation(s)
- Otilia Kimpel
- Division of Endocrinology and Diabetes, Department of Medicine, University Hospital, University of Würzburg, 97080 Würzburg, Germany; (B.A.); (C.T.F.); (M.K.); (M.F.)
| | - Barbara Altieri
- Division of Endocrinology and Diabetes, Department of Medicine, University Hospital, University of Würzburg, 97080 Würzburg, Germany; (B.A.); (C.T.F.); (M.K.); (M.F.)
| | - Ulrich Dischinger
- Division of Endocrinology and Diabetes, Department of Medicine, University Hospital, University of Würzburg, 97080 Würzburg, Germany; (B.A.); (C.T.F.); (M.K.); (M.F.)
| | - Carmina Teresa Fuss
- Division of Endocrinology and Diabetes, Department of Medicine, University Hospital, University of Würzburg, 97080 Würzburg, Germany; (B.A.); (C.T.F.); (M.K.); (M.F.)
| | - Max Kurlbaum
- Division of Endocrinology and Diabetes, Department of Medicine, University Hospital, University of Würzburg, 97080 Würzburg, Germany; (B.A.); (C.T.F.); (M.K.); (M.F.)
- Core Unit Clinical Mass Spectrometry, Central Laboratory, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Martin Fassnacht
- Division of Endocrinology and Diabetes, Department of Medicine, University Hospital, University of Würzburg, 97080 Würzburg, Germany; (B.A.); (C.T.F.); (M.K.); (M.F.)
- Core Unit Clinical Mass Spectrometry, Central Laboratory, University Hospital Würzburg, 97080 Würzburg, Germany
- Comprehensive Cancer Center Mainfranken, University of Würzburg, 97080 Würzburg, Germany
| |
Collapse
|