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Di Cosimo S, Ciniselli CM, Pizzamiglio S, Cappelletti V, Silvestri M, El-Abed S, Izquierdo M, Bajji M, Nuciforo P, Huober J, Cameron D, Chia S, Gomez HL, Iorio MV, Vingiani A, Pruneri G, Verderio P. End-of-neoadjuvant treatment circulating microRNAs and HER2-positive breast cancer patient prognosis: An exploratory analysis from NeoALTTO. Front Oncol 2023; 12:1028825. [PMID: 36798690 PMCID: PMC9927225 DOI: 10.3389/fonc.2022.1028825] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 12/30/2022] [Indexed: 02/03/2023] Open
Abstract
Background The absence of breast cancer cells in surgical specimens, i.e., pathological complete response (pCR), is widely recognized as a favorable prognostic factor after neoadjuvant therapy. In contrast, the presence of disease at surgery characterizes a prognostically heterogeneous group of patients. Here, we challenged circulating microRNAs (miRNAs) at the end of neoadjuvant therapy as potential prognostic biomarkers in the NeoALTTO study. Methods Patients treated within the trastuzumab arm (i.e., pre-operative weekly trastuzumab for 6 weeks followed by the addition of weekly paclitaxel for 12 weeks; post-operative FEC for 3 cycles followed by trastuzumab up to complete 1 year of treatment) were randomized into a training (n= 54) and testing (n= 72) set. RT-PCR-based high-throughput miRNA profile was performed on plasma samples collected at the end of neoadjuvant treatment of both sets. After normalization, circulating miRNAs associated with event free survival (EFS) were identified by univariate and multivariate Cox regression model. Results Starting from 23 circulating miRNAs associated with EFS in the training set, we generated a 3-circulating miRNA prognostic signature consisting of miR-185-5p, miR-146a-5p, miR-22-3p, which was confirmed in the testing set. The 3-circulating miRNA signature showed a C-statistic of 0.62 (95% confidence interval [95%CI] 0.53-0.71) in the entire study cohort. By resorting to a multivariate Cox regression model we found a statistical significant interaction between the expression values of miR-194-5p and pCR status (p.interaction =0.005) with an estimate Hazard Ratio (HR) of 1.83 (95%CI 1.14- 2.95) in patients with pCR, and 0.87 (95%CI 0.69-1.10) in those without pCR. Notably, the model including this interaction along with the abovementioned 3-circulating miRNA signature provided the highest discriminatory capability with a C-statistic of 0.67 (95%CI 0.58-0.76). Conclusions Circulating miRNAs are informative to identify patients with different prognosis among those with heterogeneous response after trastuzumab-based neoadjuvant treatment, and may be an exploitable tool to select candidates for salvage adjuvant therapy.
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Affiliation(s)
- Serena Di Cosimo
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Chiara M. Ciniselli
- Unit of Bioinformatics and Biostatistics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Sara Pizzamiglio
- Unit of Bioinformatics and Biostatistics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy,*Correspondence: Sara Pizzamiglio,
| | - Vera Cappelletti
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Marco Silvestri
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | | | - Mohammed Bajji
- Institut Jules Bordet and l’Université Libre de Bruxelles (U.LB), Bruxelles, Belgium
| | - Paolo Nuciforo
- Molecular Oncology Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Jens Huober
- Breast Center, University of Ulm, Ulm, Germany,Breast Center, Cantonal Hospital St.Gallen, St. Gallen, Switzerland
| | | | - Stephen Chia
- University of British Columbia, Vancouver, BC, Canada
| | - Henry L. Gomez
- Department of Medical Oncology, Instituto Nacional de Enfermedades Neoplásicas, Lima, Peru,Department of Medical Oncology, Universidad Ricardo Palma, Lima, Peru
| | - Marilena V. Iorio
- Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Andrea Vingiani
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giancarlo Pruneri
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Paolo Verderio
- Unit of Bioinformatics and Biostatistics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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2
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Pizzamiglio S, Cosentino G, Ciniselli CM, De Cecco L, Cataldo A, Plantamura I, Triulzi T, El‐abed S, Wang Y, Bajji M, Nuciforo P, Huober J, Ellard SL, Rimm DL, Gombos A, Daidone MG, Verderio P, Tagliabue E, Di Cosimo S, Iorio MV. What if the future of HER2‐positive breast cancer patients was written in miRNAs? An exploratory analysis from NeoALTTO study. Cancer Med 2021; 11:332-339. [PMID: 34921525 PMCID: PMC8729061 DOI: 10.1002/cam4.4449] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 10/08/2021] [Accepted: 11/10/2021] [Indexed: 11/06/2022] Open
Affiliation(s)
- Sara Pizzamiglio
- Bioinformatics and Biostatistics Unit Department of Applied Research and Technological Development Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy
| | - Giulia Cosentino
- Molecular Targeting Unit Department of Research Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy
| | - Chiara M. Ciniselli
- Bioinformatics and Biostatistics Unit Department of Applied Research and Technological Development Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy
| | - Loris De Cecco
- Integrated Biology Platform Department of Applied Research and Technological Development Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy
| | - Alessandra Cataldo
- Molecular Targeting Unit Department of Research Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy
| | - Ilaria Plantamura
- Molecular Targeting Unit Department of Research Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy
| | - Tiziana Triulzi
- Molecular Targeting Unit Department of Research Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy
| | | | | | | | - Paolo Nuciforo
- Molecular Oncology GroupVall d'Hebron Institute of Oncology (VHIO) Barcelona Spain
| | - Jens Huober
- Breast Center Cantonal Hospital St. Gallen Switzerland
| | | | - David L. Rimm
- Department of Pathology Yale University School of Medicine New Haven Connecticut USA
| | | | - Maria Grazia Daidone
- Biomarkers Unit Department of Applied Research and Technological Development Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy
| | - Paolo Verderio
- Bioinformatics and Biostatistics Unit Department of Applied Research and Technological Development Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy
| | - Elda Tagliabue
- Molecular Targeting Unit Department of Research Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy
| | - Serena Di Cosimo
- Biomarkers Unit Department of Applied Research and Technological Development Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy
| | - Marilena V. Iorio
- Molecular Targeting Unit Department of Research Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy
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3
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Circulating miRNAs as Novel Non-Invasive Biomarkers to Aid the Early Diagnosis of Suspicious Breast Lesions for Which Biopsy Is Recommended. Cancers (Basel) 2021; 13:cancers13164028. [PMID: 34439180 PMCID: PMC8391908 DOI: 10.3390/cancers13164028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/06/2021] [Accepted: 08/06/2021] [Indexed: 12/13/2022] Open
Abstract
Simple Summary In population-based screens, tissue biopsy remains the standard practice for women with imaging that suggests breast cancer. We examined circulating microRNAs as minimally invasive diagnostic biomarkers to discriminate malignant from benign breast lesions. A retrospective cohort of plasma samples divided into training and testing sets and a prospective cohort of women with suspicious imaging findings who underwent tissue biopsy were investigated through a global microRNA profile by OpenArray. Seven signatures, involving 5 specific miRNAs (miR-625, miR-423-5p, miR-370-3p, miR-181c, and miR-301b), were identified and validated in the testing set. Among the 7 signatures, the discriminatory performances of 5 of them were confirmed in the prospective cohort. Abstract In population-based screens, tissue biopsy remains the standard practice for women with imaging that suggests breast cancer. We examined circulating microRNAs as minimally invasive diagnostic biomarkers to discriminate malignant from benign breast lesions. miRNAs were analyzed by OpenArray in a retrospective cohort of plasma samples including 100 patients with malignant (T), 89 benign disease (B), and 99 healthy donors (HD) divided into training and testing sets and a prospective cohort (BABE) of 289 women with suspicious imaging findings who underwent tissue biopsy. miRNAs associated with disease status were identified by univariate analysis and then combined into signatures by multivariate logistic regression models. By combining 16 miRNAs differentially expressed in the T vs. HD comparison, 26 signatures were also able to significantly discriminate T from B disease. Seven of them, involving 5 specific miRNAs (miR-625, miR-423-5p, miR-370-3p, miR-181c, and miR-301b), were statistically validated in the testing set. Among the 7 signatures, the discriminatory performances of 5 were confirmed in the prospective BABE Cohort. This study identified 5 circulating miRNAs that, properly combined, distinguish malignant from benign breast disease in women with a high likelihood of malignancy.
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4
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Prediction of Grade Reclassification of Prostate Cancer Patients on Active Surveillance through the Combination of a Three-miRNA Signature and Selected Clinical Variables. Cancers (Basel) 2021; 13:cancers13102433. [PMID: 34069838 PMCID: PMC8157371 DOI: 10.3390/cancers13102433] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 05/12/2021] [Accepted: 05/14/2021] [Indexed: 12/31/2022] Open
Abstract
Simple Summary Active surveillance (AS) has evolved as an alternative to radical treatment for potentially indolent prostate cancer. However, current selection criteria for entering AS are suboptimal, and a significant percentage of patients discontinue AS because of disease reclassification. Hence, there is an unmet need for novel biomarkers for the accurate identification of high-risk PCa and the unequivocal classification of indolent disease. Circulating biomarkers, including microRNAs identified through liquid biopsies, represent a valuable approach to improve on currently available clinicopathological risk-stratification tools. In an attempt to identify specific microRNA signatures as potential circulating biomarkers, the authors performed an unprecedented analysis of the global microRNA profile in plasma samples from AS patients and identified and validated a three-microRNA signature able to predict patient reclassification. The addition of the three-microRNA signature was able to improve the performance of currently available clinicopathological variables, thus showing potential for the refinement of AS patients’ selection. Abstract Active surveillance (AS) has evolved as a strategy alternative to radical treatments for very low risk and low-risk prostate cancer (PCa). However, current criteria for selecting AS patients are still suboptimal. Here, we performed an unprecedented analysis of the circulating miRNome to investigate whether specific miRNAs associated with disease reclassification can provide risk refinement to standard clinicopathological features for improving patient selection. The global miRNA expression profiles were assessed in plasma samples prospectively collected at baseline from 386 patients on AS included in three independent mono-institutional cohorts (training, testing and validation sets). A three-miRNA signature (miR-511-5p, miR-598-3p and miR-199a-5p) was found to predict reclassification in all patient cohorts (training set: AUC 0.74, 95% CI 0.60–0.87, testing set: AUC 0.65, 95% CI 0.51–0.80, validation set: AUC 0.68, 95% CI 0.56–0.80). Importantly, the addition of the three-miRNA signature improved the performance of the clinical model including clinicopathological variables only (AUC 0.70, 95% CI 0.61–0.78 vs. 0.76, 95% CI 0.68–0.84). Overall, we trained, tested and validated a three-miRNA signature which, combined with selected clinicopathological variables, may represent a promising biomarker to improve on currently available clinicopathological risk stratification tools for a better selection of truly indolent PCa patients suitable for AS.
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5
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Lecchi M, Verderio P, Cappelletti V, De Santis F, Paolini B, Monica M, Sangaletti S, Pupa SM, Iorio MV, Bianchi G, Gennaro M, Fucà G, De Braud F, Tagliabue E, Di Nicola M. A combination of extracellular matrix- and interferon-associated signatures identifies high-grade breast cancers with poor prognosis. Mol Oncol 2021; 15:1345-1357. [PMID: 33523584 PMCID: PMC8096783 DOI: 10.1002/1878-0261.12912] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/14/2020] [Accepted: 01/27/2021] [Indexed: 11/20/2022] Open
Abstract
Breast cancer (BC) is a heterogeneous disease in which the tumor microenvironment (TME) seems to impact the clinical outcome. Here, we investigated whether a combination of gene expression signatures relating to both the structural and immune TME aspects can help predict prognosis in women with high‐grade BC (HGBC). Thus, we focused on a combined molecular biomarker variable that involved extracellular matrix (ECM)‐associated gene expression (ECM3 signature) and interferon (IFN)‐associated metagene (IFN metagene) expression. In 97 chemo‐naive HGBCs from the METABRIC dataset, the dichotomous ECM3/IFN (dECIF) variable identified a group of high‐risk patients (ECM3+/IFN− vs other; hazard ratio = 3.2, 95% confidence interval: 1.5–6.7). Notably, ECM3+/IFN− tumors showed low tumor‐infiltrating lymphocytes, high levels of CD33‐positive cells, absence of PD‐1 expression, or low expression of PD‐L1, as suggested by immune profiles and immune‐histochemical analysis on an independent cohort of 131 HGBCs. To make our results transferable to clinical use, we refined the dECIF biomarker using reduced ECM3 and IFN signatures; notably, the prognostic value of this reduced dECIF was comparable to that of the original dECIF. After validation in a new BC cohort, reduced dECIF was translated into a robust qPCR classifier for real‐world clinical use.
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Affiliation(s)
- Mara Lecchi
- Bioinformatics and Biostatistics Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Paolo Verderio
- Bioinformatics and Biostatistics Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Vera Cappelletti
- Biomarker Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Francesca De Santis
- Unit of Immunotherapy and Anticancer Innovative Therapeutics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Biagio Paolini
- Pathology A Unit, Department of Pathology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Melissa Monica
- Pathology A Unit, Department of Pathology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Sabina Sangaletti
- Molecular Immunology Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Serenella Maria Pupa
- Molecular Targeting Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Marilena Valeria Iorio
- Molecular Targeting Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giulia Bianchi
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Massimiliano Gennaro
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giovanni Fucà
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Filippo De Braud
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Elda Tagliabue
- Molecular Targeting Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Massimo Di Nicola
- Unit of Immunotherapy and Anticancer Innovative Therapeutics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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6
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Baek SJ, Ban HJ, Park SM, Lee B, Choi Y, Baek Y, Lee S, Cha S. Circulating microRNAs as Potential Diagnostic Biomarkers for Poor Sleep Quality. Nat Sci Sleep 2021; 13:1001-1012. [PMID: 34234603 PMCID: PMC8254567 DOI: 10.2147/nss.s311541] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 05/21/2021] [Indexed: 12/22/2022] Open
Abstract
PURPOSE Persistent poor sleep quality leads to impaired cognitive performance and an inability to perform daily activities. Biomarker-assisted diagnosis is important for the early treatment of poor sleep quality; however, diagnostic biomarkers for poor sleep quality remain unidentified. Circulating microRNAs (miRNAs) have been reported to be linked to the pathogenesis of poor sleep quality, indicating their possible role in sleep problem diagnosis. The present study aimed to identify potential miRNA biomarkers for poor sleep quality. PATIENTS AND METHODS Differentially expressed serum miRNAs in patients with poor sleep quality and healthy controls (n=20) were analyzed via small RNA sequencing. Two-step quantitative RT-PCR in the two independent populations and receiver operating characteristic (ROC) analyses were used to validate the identified miRNAs. In silico analysis was then used to identify the target genes. RESULTS Of the 59 circulating miRNAs identified via differential analysis, six were validated for differential expression by quantitative RT-PCR (n=60). Two of these six miRNAs, miR-4433b-3p and miR-619-5p, were reconfirmed in the second validation with an independent validation cohort (n=59). ROC analyses (n=40) revealed the probability of the two miRNAs as potential biomarkers with areas under the ROC curve (AUCs) of 0.81 and 0.70, respectively. The combined AUC was 0.86, which was much higher than that of each miRNA. Using in silico target gene analysis, the target genes of the two miRNAs were identified to be associated with the regulation of the circadian rhythm and inflammatory pathways. CONCLUSION Our results revealed that miR-619-5p and miR-4433b-3p could be developed as potential diagnostic biomarkers for poor sleep quality. The combination of both miRNAs may be more effective than the use of the individual miRNA for sleep problem diagnosis.
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Affiliation(s)
- Su-Jin Baek
- Future Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Hyo-Jeong Ban
- Future Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Sang-Min Park
- Future Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Boyoung Lee
- Future Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Yoorae Choi
- Future Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Younghwa Baek
- Future Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Siwoo Lee
- Future Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Seongwon Cha
- Future Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
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7
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Zanutto S, Ciniselli CM, Belfiore A, Lecchi M, Masci E, Delconte G, Primignani M, Tosetti G, Dal Fante M, Fazzini L, Airoldi A, Vangeli M, Turpini F, Rubis Passoni GG, Viaggi P, Arena M, Motta RIO, Cantù AM, Crosta C, De Roberto G, Iannuzzi F, Cassinotti A, Dall'Olio V, Tizzoni L, Sozzi G, Meroni E, Bisanti L, Pierotti MA, Verderio P, Gariboldi M. Plasma miRNA-based signatures in CRC screening programs. Int J Cancer 2019; 146:1164-1173. [PMID: 31304978 DOI: 10.1002/ijc.32573] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 06/12/2019] [Accepted: 06/26/2019] [Indexed: 02/06/2023]
Abstract
Colorectal cancer (CRC) screening programs help diagnose cancer precursors and early cancers and help reduce CRC mortality. However, currently recommended tests, the fecal immunochemical test (FIT) and colonoscopy, have low uptake. There is therefore a pressing need for screening strategies that are minimally invasive and consequently more acceptable to patients, most likely blood based, to increase early CRC identification. MicroRNAs (miRNAs) released from cancer cells are detectable in plasma in a remarkably stable form, making them ideal cancer biomarkers. Using plasma samples from FIT-positive (FIT+) subjects in an Italian CRC screening program, we aimed to identify plasma circulating miRNAs that detect early CRC. miRNAs were initially investigated by quantitative real-time PCR in plasma from 60 FIT+ subjects undergoing colonoscopy at Fondazione IRCCS Istituto Nazionale dei Tumori, then tested on an internal validation cohort (IVC, 201 cases) and finally in a large multicenter prospective series (external validation cohort [EVC], 1121 cases). For each endoscopic lesion (low-grade adenoma [LgA], high-grade adenoma [HgA], cancer lesion [CL]), specific signatures were identified in the IVC and confirmed on the EVC. A two-miRNA-based signature for CL and six-miRNA signatures for LgA and HgA were selected. In a multivariate analysis including sex and age at blood collection, the areas under the receiver operating characteristic curve (95% confidence interval) of the signatures were 0.644 (0.607-0.682), 0.670 (0.626-0.714) and 0.682 (0.580-0.785) for LgA, HgA and CL, respectively. A miRNA-based test could be introduced into the FIT+ workflow of CRC screening programs so as to schedule colonoscopies only for subjects likely to benefit most.
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Affiliation(s)
- Susanna Zanutto
- Tumor Genomics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.,Molecular Genetics of Cancer Unit, Fondazione Istituto FIRC Oncologia Molecolare (IFOM), Milan, Italy
| | - Chiara Maura Ciniselli
- Bioinformatics and Biostatistics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Antonino Belfiore
- Tumor Genomics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.,Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Mara Lecchi
- Bioinformatics and Biostatistics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Enzo Masci
- Diagnostic and Therapeutic Endoscopy Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Gabriele Delconte
- Diagnostic and Therapeutic Endoscopy Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Massimo Primignani
- CRC "A. M. e A. Migliavacca" Center for Liver Disease, Division of Gastroenterology and Hepatology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Giulia Tosetti
- CRC "A. M. e A. Migliavacca" Center for Liver Disease, Division of Gastroenterology and Hepatology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Marco Dal Fante
- Gastroenterology and Endoscopy Unit, Humanitas San Pio X, Milan, Italy
| | - Linda Fazzini
- Gastroenterology and Endoscopy Unit, Humanitas San Pio X, Milan, Italy
| | - Aldo Airoldi
- Hepatology and Gastroenterology Unit, Niguarda Ca' Granda Hospital, Milan, Italy
| | - Marcello Vangeli
- Hepatology and Gastroenterology Unit, Niguarda Ca' Granda Hospital, Milan, Italy
| | - Francesca Turpini
- Digestive Endoscopy Unit, Department of Gastro Hepatology, ASST Santi Paolo e Carlo, San Carlo Borromeo Hospital, Milan, Italy
| | - Giovanni Giuseppe Rubis Passoni
- Digestive Endoscopy Unit, Department of Gastro Hepatology, ASST Santi Paolo e Carlo, San Carlo Borromeo Hospital, Milan, Italy
| | - Paolo Viaggi
- Digestive Endoscopy Unit, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan, Italy
| | - Monica Arena
- Digestive Endoscopy Unit, ASST Santi Paolo e Carlo, San Paolo Hospital, Milan, Italy
| | | | | | - Cristiano Crosta
- Division of Endoscopy, European Institute of Oncology IRCCS, Milan, Italy
| | | | | | | | | | | | - Gabriella Sozzi
- Tumor Genomics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Emanuele Meroni
- Diagnostic and Therapeutic Endoscopy Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Luigi Bisanti
- Scientific Directorate, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Marco Alessandro Pierotti
- Molecular Genetics of Cancer Unit, Fondazione Istituto FIRC Oncologia Molecolare (IFOM), Milan, Italy.,Scientific Directorate, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Paolo Verderio
- Bioinformatics and Biostatistics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Manuela Gariboldi
- Tumor Genomics Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.,Molecular Genetics of Cancer Unit, Fondazione Istituto FIRC Oncologia Molecolare (IFOM), Milan, Italy
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8
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Di Cosimo S, Appierto V, Pizzamiglio S, Tiberio P, Iorio MV, Hilbers F, de Azambuja E, de la Peña L, Izquierdo M, Huober J, Baselga J, Piccart M, de Braud FG, Apolone G, Verderio P, Daidone MG. Plasma miRNA Levels for Predicting Therapeutic Response to Neoadjuvant Treatment in HER2-positive Breast Cancer: Results from the NeoALTTO Trial. Clin Cancer Res 2019; 25:3887-3895. [PMID: 30814109 DOI: 10.1158/1078-0432.ccr-18-2507] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 12/20/2018] [Accepted: 02/21/2019] [Indexed: 11/16/2022]
Abstract
PURPOSE To investigate the potential of circulating-miRNAs (ct-miRNA) as noninvasive biomarkers to predict the efficacy of single/dual HER2-targeted therapy in the NeoALTTO study. EXPERIMENTAL DESIGN Patients with plasma samples at baseline (T0) and/or after 2 weeks (T1) of treatment were randomized into training (n = 183) and testing (n = 246) sets. RT-PCR-based high-throughput miRNA profiling was employed in the training set. After normalization, ct-miRNAs associated with pathologic complete response (pCR) were identified by univariate analysis. Multivariate logistic regression models were implemented to generate treatment-specific signatures at T0 and T1, which were evaluated by RT-PCR in the testing set. Event-free survival (EFS) according to ct-miRNA signatures was estimated by Kaplan-Meier method and Cox regression model. RESULTS In the training set, starting from 51 ct-miRNAs associated with pCR, six signatures with statistically significant predictive capability in terms of area under the ROC curve (AUC) were identified. Four signatures were confirmed in the testing set: lapatinib at T0 and T1 [AUC 0.86; 95% confidence interval (CI), 0.73-0.98 and 0.71 (0.55-0.86)], respectively; trastuzumab at T1 (0.81; 0.70-0.92); lapatinib + trastuzumab at T1 (0.67; 0.51-0.83). These signatures were confirmed predictive after adjusting for known variables, including estrogen receptor status. ct-miRNA signatures failed to correlate with EFS. However, the levels of ct-miR-140-5p, included in the trastuzumab signature, were associated with EFS (HR 0.43; 95% CI, 0.22-0.84). CONCLUSIONS ct-miRNAs discriminate patients with and without pCR after neoadjuvant lapatinib- and/or trastuzumab-based therapy. ct-miRNAs at week two could be valuable to identify patients responsive to trastuzumab, to avoid unnecessary combination with other anti-HER2 agents, and finally to assist deescalating treatment strategies.
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Affiliation(s)
- Serena Di Cosimo
- Biomarkers Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Valentina Appierto
- Biomarkers Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Sara Pizzamiglio
- Bioinformatics and Biostatistics Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Paola Tiberio
- Biomarkers Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Marilena V Iorio
- Molecular Targeting Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Evandro de Azambuja
- Department of Medical Oncology, Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
| | | | | | - Jens Huober
- Department of Obstetrics and Gynecology, University of Ulm, Ulm, Germany
| | - José Baselga
- Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Martine Piccart
- Department of Medical Oncology, Institut Jules Bordet and Université Libre de Bruxelles, Brussels, Belgium
| | - Filippo G de Braud
- Department of Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giovanni Apolone
- Scientific Directorate, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Paolo Verderio
- Bioinformatics and Biostatistics Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Maria Grazia Daidone
- Biomarkers Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
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9
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Liang Z, Gao KP, Wang YX, Liu ZC, Tian L, Yang XZ, Ding JY, Wu WT, Yang WH, Li YL, Zhang ZB, Zhai RH. RNA sequencing identified specific circulating miRNA biomarkers for early detection of diabetes retinopathy. Am J Physiol Endocrinol Metab 2018; 315:E374-E385. [PMID: 29812988 DOI: 10.1152/ajpendo.00021.2018] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Diabetic retinopathy (DR) is the leading cause of blindness in patients with diabetes. However, biomarkers for early detection of DR are still lacking. MicroRNAs (miRNAs) regulate multiple biological functions and are often deregulated in DR. We aimed to investigate whether circulating miRNAs can be used as biomarkers of early-stage DR. We used RNA-seq and qRT-PCR to identify differential serum miRNAs in patients with type 2 diabetes mellitus with DR (T2DM-DR), T2DM without DR (T2DM-no-DR), and healthy controls. We validated differential circulating miRNAs in two phases using qRT-PCR assays. RNA-seq analysis identified 7 differential circulating miRNAs between T2DM-DR and T2DM-no-DR and 47 differential miRNAs between T2DM-DR and healthy subjects. Two-stage analysis verified that a profile of five serum miRNAs (hsa-let-7a-5p, hsa-miR-novel-chr5_15976, hsa-miR-28-3p, has-miR-151a-5p, has-miR-148a-3p) was significantly associated with T2DM-DR. Receiver-operator-characteristic analyses showed that a panel of three miRNAs (hsa-let-7a-5p, hsa-miR-novel-chr5_15976, and hsa-miR-28-3p) presented 0.92 sensitivity and 0.94 specificity for distinguishing T2DM-DR from T2DM-no-DR, and 0.93 sensitivity and 0.86 specificity for differentiating early-stage T2DM-DR (NPDR) from late-stage DR (PDR). Lentivirus-mediated overexpression of hsa-let-7a-5p in human retinal microvascular endothelial cells (HRMECs) significantly promoted proliferation rates of HRMECs. In conclusion, the three-miRNA signature from serum may serve as a noninvasive diagnostic biomarker for DR. Furthermore, we showed that DR-associated miRNAs may be involved in the pathogenesis of DR, at least in part, through modifying proliferation of HRMECs.
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Affiliation(s)
- Zhen Liang
- Department of Diagnostics, Shenzhen University Health Science Center , Shenzhen , China
- Department of Geriatric Medicine, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen Second People's Hospital , Shenzhen , China
| | - Kai P Gao
- Department of Diagnostics, Shenzhen University Health Science Center , Shenzhen , China
- Department of Preventive Medicine, Shenzhen University Health Science Center , Shenzhen , China
| | - Yi X Wang
- Department of Geriatric Medicine, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen Second People's Hospital , Shenzhen , China
| | - Zi C Liu
- Department of Preventive Medicine, Shenzhen University Health Science Center , Shenzhen , China
| | - Li Tian
- Department of Preventive Medicine, Shenzhen University Health Science Center , Shenzhen , China
- Guangdong Key Laboratory for Genome Stability & Disease Prevention, Shenzhen University Health Science Center , Shenzhen , China
| | - Xin Z Yang
- Department of Geriatric Medicine, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen Second People's Hospital , Shenzhen , China
| | - Jing Y Ding
- Department of Geriatric Medicine, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen Second People's Hospital , Shenzhen , China
| | - Wei T Wu
- Department of Geriatric Medicine, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen Second People's Hospital , Shenzhen , China
| | - Wen H Yang
- Department of Preventive Medicine, Shenzhen University Health Science Center , Shenzhen , China
- Guangdong Key Laboratory for Genome Stability & Disease Prevention, Shenzhen University Health Science Center , Shenzhen , China
| | - Yi L Li
- Department of Preventive Medicine, Shenzhen University Health Science Center , Shenzhen , China
| | - Ze B Zhang
- Department of Preventive Medicine, Shenzhen University Health Science Center , Shenzhen , China
| | - Ri H Zhai
- Department of Preventive Medicine, Shenzhen University Health Science Center , Shenzhen , China
- Guangdong Key Laboratory for Genome Stability & Disease Prevention, Shenzhen University Health Science Center , Shenzhen , China
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10
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Circulating miRNAs from blood, plasma or serum as promising clinical biomarkers in oral squamous cell carcinoma: A systematic review of current findings. Oral Oncol 2016; 63:30-37. [PMID: 27938997 DOI: 10.1016/j.oraloncology.2016.11.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Revised: 10/24/2016] [Accepted: 11/02/2016] [Indexed: 12/21/2022]
Abstract
The purpose of this systematic review was to summarize current findings on the use of circulating miRNAs from blood, serum and plasma as cancer biomarkers in patients with oral squamous cell carcinoma. Studies were gathered after searching four different electronic databases: PUBMED, SCOPUS, Cochrane Library and Web of Science. Additional search was carried out through cross check on bibliography of selected articles. After the selection process made by two of the authors, 16 articles met the inclusion criteria and were included in the review. Results showed that circulating miRNAs from blood, serum or plasma represent promising candidates as cancer biomarkers in patients suffering from oral cancer. The possibility to predict recurrences and metastases through follow-up quantification of candidate miRNAs represents another potential feature to be addressed in future studies. However, methodological standardization and uniform sampling is needed to increase the power and accuracy of results.
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