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Fernandez-Gonzalez S, Falo C, Pla MJ, Campos M, Ortega-Exposito C, Ortega R, Vicente M, Petit A, Bosch-Schips J, Bajen MT, Reyes G, Martínez E, González-Viguera J, Peñafiel J, Stradella A, Pernas S, Ponce J, Garcia-Tejedor A. Sentinel lymph node biopsy before and after neoadjuvant chemotherapy in cN0 breast cancer patients: impact on axillary morbidity and survival-a propensity score cohort study. Breast Cancer Res Treat 2024; 206:131-141. [PMID: 38635082 PMCID: PMC11182812 DOI: 10.1007/s10549-024-07274-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 01/30/2024] [Indexed: 04/19/2024]
Abstract
PURPOSE In patients with clinically lymph node-negative (cN0) breast cancer, performing sentinel lymph node biopsy (SLNB) after neoadjuvant chemotherapy (NACT) has been preferentially embraced in comparison to before NACT. However, survival outcomes associated with both strategies remain understudied. We aimed to compare the axillary lymphadenectomy (ALND) rate, disease-free survival (DFS), and overall survival (OS), between two strategies. METHODS We included 310 patients in a retrospective observational study. SNLB was performed before NACT from December 2006 to April 2014 (107 cases) and after NACT from May 2014 to May 2020 (203 patients). An inverse probability of treatment weighting (IPTW) method was applied to homogenize both groups. Hazard ratios (HR) and odd ratios (OR) are reported with 95% confidence intervals (95%CI). RESULTS The lymphadenectomy rate was 29.9% before NACT and 7.4% after NACT (p < 0.001), with an OR of 5.35 95%CI (2.7-10.4); p = .002. After 4 years of follow-up, SLNB after NACT was associated with lower risk for DFS, HR 0.42 95%CI (0.17-1.06); p = 0.066 and better OS, HR 0.21 CI 95% (0.07-0.67); p = 0.009 than SLNB before NACT. After multivariate analysis, independent adverse prognostic factors for OS included SLNB before NACT, HR 3.095 95%CI (2.323-4.123), clinical nonresponse to NACT, HR 1.702 95% CI (1.012-2.861), and small tumors (cT1) with high proliferation index, HR 1.889 95% (1.195-2.985). CONCLUSION Performing SLNB before NACT results in more ALND and has no benefit for patient survival. These findings support discontinuing the practice of SLNB before NACT in patients with cN0 breast cancer.
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Affiliation(s)
- Sergi Fernandez-Gonzalez
- Department of Gynecology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Idibell, c/ Feixa Llarga s/n. Hospitalet de Llobregat, CP: 08907, Barcelona, Spain.
- Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Feixa Llarga, s/n, 08907, l'Hospitalet de Llobregat, Spain.
| | - Catalina Falo
- Department of Medical Oncology, Multidisciplinary Breast Cancer Unit, Institut Català d'Oncologia, Idibell, Barcelona, Spain
| | - Maria J Pla
- Department of Gynecology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Idibell, c/ Feixa Llarga s/n. Hospitalet de Llobregat, CP: 08907, Barcelona, Spain
| | - Miriam Campos
- Department of Gynecology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Idibell, c/ Feixa Llarga s/n. Hospitalet de Llobregat, CP: 08907, Barcelona, Spain
| | - Carlos Ortega-Exposito
- Department of Gynecology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Idibell, c/ Feixa Llarga s/n. Hospitalet de Llobregat, CP: 08907, Barcelona, Spain
| | - Raul Ortega
- Department of Radiology, Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Barcelona, Spain
| | - Maria Vicente
- Department of Radiology, Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Barcelona, Spain
| | - Ana Petit
- Department of Pathology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Idibell, Barcelona, Spain
| | - Jan Bosch-Schips
- Department of Pathology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Idibell, Barcelona, Spain
| | - Maria Teresa Bajen
- Department of Nuclear Medicine, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Idibell, Barcelona, Spain
| | - Gabriel Reyes
- Department of Nuclear Medicine, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Idibell, Barcelona, Spain
| | - Evelyn Martínez
- Department of Radiation Oncology, Multidisciplinary Breast Cancer Unit, Institut Català d'Oncologia, Barcelona, Spain
| | - Javier González-Viguera
- Department of Radiation Oncology, Multidisciplinary Breast Cancer Unit, Institut Català d'Oncologia, Barcelona, Spain
| | - Judith Peñafiel
- Biostatistics Unit, Institut d'Investigació Biomèdica de Bellvitge, Hospitalet de Llobregat, Spain
| | - Agostina Stradella
- Department of Medical Oncology, Multidisciplinary Breast Cancer Unit, Institut Català d'Oncologia, Idibell, Barcelona, Spain
| | - Sonia Pernas
- Department of Medical Oncology, Multidisciplinary Breast Cancer Unit, Institut Català d'Oncologia, Idibell, Barcelona, Spain
| | - Jordi Ponce
- Department of Gynecology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Idibell, c/ Feixa Llarga s/n. Hospitalet de Llobregat, CP: 08907, Barcelona, Spain
| | - Amparo Garcia-Tejedor
- Department of Gynecology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Idibell, c/ Feixa Llarga s/n. Hospitalet de Llobregat, CP: 08907, Barcelona, Spain
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Gupta V, Kidane B. Commentary: Accurate locoregional assessment of esophageal cancer after induction treatment is essential to safely select organ-sparing treatment strategies. J Thorac Cardiovasc Surg 2024:S0022-5223(24)00528-2. [PMID: 38879119 DOI: 10.1016/j.jtcvs.2024.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Accepted: 06/11/2024] [Indexed: 07/10/2024]
Affiliation(s)
- Vaibhav Gupta
- Division of Thoracic Surgery, Department of Surgery, Western University, London, Ontario, Canada
| | - Biniam Kidane
- Section of Thoracic Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada; CancerCare Manitoba Research Institute, Winnipeg, Manitoba, Canada; Department of Physiology & Pathophysiology, University of Manitoba, Winnipeg, Manitoba, Canada; Department of Biomedical Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.
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3
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Leong WL. From RECIST to PERCIST: navigating the landscape of tumor response assessment. Eur Radiol 2024; 34:3656-3658. [PMID: 37955672 DOI: 10.1007/s00330-023-10435-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 09/16/2023] [Accepted: 09/20/2023] [Indexed: 11/14/2023]
Affiliation(s)
- Wai Ling Leong
- Department of Biomedical Imaging, Faculty of Medicine, University Malaya Research Imaging Centre, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
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Castagnoli F, Mencel J, Ap Dafydd D, Gough J, Drake B, Mcaddy NC, Withey SJ, Riddell AM, Koh DM, Shur JD. Response Evaluation Criteria in Gastrointestinal and Abdominal Cancers: Which to Use and How to Measure. Radiographics 2024; 44:e230047. [PMID: 38662587 DOI: 10.1148/rg.230047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
As the management of gastrointestinal malignancy has evolved, tumor response assessment has expanded from size-based assessments to those that include tumor enhancement, in addition to functional data such as those derived from PET and diffusion-weighted imaging. Accurate interpretation of tumor response therefore requires knowledge of imaging modalities used in gastrointestinal malignancy, anticancer therapies, and tumor biology. Targeted therapies such as immunotherapy pose additional considerations due to unique imaging response patterns and drug toxicity; as a consequence, immunotherapy response criteria have been developed. Some gastrointestinal malignancies require assessment with tumor-specific criteria when assessing response, often to guide clinical management (such as watchful waiting in rectal cancer or suitability for surgery in pancreatic cancer). Moreover, anatomic measurements can underestimate therapeutic response when applied to molecular-targeted therapies or locoregional therapies in hypervascular malignancies such as hepatocellular carcinoma. In these cases, responding tumors may exhibit morphologic changes including cystic degeneration, necrosis, and hemorrhage, often without significant reduction in size. Awareness of pitfalls when interpreting gastrointestinal tumor response is required to correctly interpret response assessment imaging and guide appropriate oncologic management. Data-driven image analyses such as radiomics have been investigated in a variety of gastrointestinal tumors, such as identifying those more likely to respond to therapy or recur, with the aim of delivering precision medicine. Multimedia-enhanced radiology reports can facilitate communication of gastrointestinal tumor response by automatically embedding response categories, key data, and representative images. ©RSNA, 2024 Test Your Knowledge questions for this article are available in the supplemental material.
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Affiliation(s)
- Francesca Castagnoli
- From the Departments of Radiology (F.C., D.a.D., N.C.M., S.J.W., A.M.R., D.M.K., J.D.S.), Oncology (J.M.), Radiotherapy (J.G.), and Nuclear Medicine (B.D.), Royal Marsden Hospital, Downs Road, Sutton SM2 5PT, UK; and Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK (F.C., D.M.K.)
| | - Justin Mencel
- From the Departments of Radiology (F.C., D.a.D., N.C.M., S.J.W., A.M.R., D.M.K., J.D.S.), Oncology (J.M.), Radiotherapy (J.G.), and Nuclear Medicine (B.D.), Royal Marsden Hospital, Downs Road, Sutton SM2 5PT, UK; and Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK (F.C., D.M.K.)
| | - Derfel Ap Dafydd
- From the Departments of Radiology (F.C., D.a.D., N.C.M., S.J.W., A.M.R., D.M.K., J.D.S.), Oncology (J.M.), Radiotherapy (J.G.), and Nuclear Medicine (B.D.), Royal Marsden Hospital, Downs Road, Sutton SM2 5PT, UK; and Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK (F.C., D.M.K.)
| | - Jessica Gough
- From the Departments of Radiology (F.C., D.a.D., N.C.M., S.J.W., A.M.R., D.M.K., J.D.S.), Oncology (J.M.), Radiotherapy (J.G.), and Nuclear Medicine (B.D.), Royal Marsden Hospital, Downs Road, Sutton SM2 5PT, UK; and Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK (F.C., D.M.K.)
| | - Brent Drake
- From the Departments of Radiology (F.C., D.a.D., N.C.M., S.J.W., A.M.R., D.M.K., J.D.S.), Oncology (J.M.), Radiotherapy (J.G.), and Nuclear Medicine (B.D.), Royal Marsden Hospital, Downs Road, Sutton SM2 5PT, UK; and Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK (F.C., D.M.K.)
| | - Naami Charlotte Mcaddy
- From the Departments of Radiology (F.C., D.a.D., N.C.M., S.J.W., A.M.R., D.M.K., J.D.S.), Oncology (J.M.), Radiotherapy (J.G.), and Nuclear Medicine (B.D.), Royal Marsden Hospital, Downs Road, Sutton SM2 5PT, UK; and Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK (F.C., D.M.K.)
| | - Samuel Joseph Withey
- From the Departments of Radiology (F.C., D.a.D., N.C.M., S.J.W., A.M.R., D.M.K., J.D.S.), Oncology (J.M.), Radiotherapy (J.G.), and Nuclear Medicine (B.D.), Royal Marsden Hospital, Downs Road, Sutton SM2 5PT, UK; and Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK (F.C., D.M.K.)
| | - Angela Mary Riddell
- From the Departments of Radiology (F.C., D.a.D., N.C.M., S.J.W., A.M.R., D.M.K., J.D.S.), Oncology (J.M.), Radiotherapy (J.G.), and Nuclear Medicine (B.D.), Royal Marsden Hospital, Downs Road, Sutton SM2 5PT, UK; and Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK (F.C., D.M.K.)
| | - Dow-Mu Koh
- From the Departments of Radiology (F.C., D.a.D., N.C.M., S.J.W., A.M.R., D.M.K., J.D.S.), Oncology (J.M.), Radiotherapy (J.G.), and Nuclear Medicine (B.D.), Royal Marsden Hospital, Downs Road, Sutton SM2 5PT, UK; and Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK (F.C., D.M.K.)
| | - Joshua David Shur
- From the Departments of Radiology (F.C., D.a.D., N.C.M., S.J.W., A.M.R., D.M.K., J.D.S.), Oncology (J.M.), Radiotherapy (J.G.), and Nuclear Medicine (B.D.), Royal Marsden Hospital, Downs Road, Sutton SM2 5PT, UK; and Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK (F.C., D.M.K.)
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Ben-Ami T. Nasopharyngeal Carcinoma in Children, Current Treatment Approach. J Pediatr Hematol Oncol 2024; 46:117-124. [PMID: 38447121 PMCID: PMC10956687 DOI: 10.1097/mph.0000000000002848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 02/04/2024] [Indexed: 03/08/2024]
Abstract
Nasopharyngeal carcinoma (NPC) is a rare and locally aggressive form of childhood cancer. Treatment of pediatric NPC includes chemotherapy and radiotherapy. Most studies on the treatment of pediatric NPC are single-arm studies. With current treatment protocols survival rates for patients with nonmetastatic disease exceed 80%, although most children will have long-term treatment-related late effects. Efforts to reduce early and late toxicities include reduced radiotherapy doses in children with good responses to induction chemotherapy. Further studies are needed to evaluate the role of immunotherapy in both the primary setting and in children with progressive or relapsed disease. This review summarizes current clinical approaches to the treatment of pediatric NPC.
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Yuste C, Passerat V, Calais G, Schipman B, Vaugier L, Paumier A, Huertas A, Hemery CG, Debelleix C, Chamois J, Blanchard N, Septans AL, Pointreau Y. Stereotactic body radiation therapy for adrenal gland metastases: A multi-institutional outcome analysis. Clin Transl Radiat Oncol 2024; 45:100708. [PMID: 38162282 PMCID: PMC10757246 DOI: 10.1016/j.ctro.2023.100708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 11/12/2023] [Accepted: 11/30/2023] [Indexed: 01/03/2024] Open
Abstract
Aim The adrenal gland is a common site of metastasis with a rate of up to 27% in autopsy series. The incidence of these metastases is increasing due to greater use of Positron Emission Tomography scans and improved overall survival of patients with metastatic cancers. Stereotactic body radiation therapy (SBRT) is a non-invasive treatment option for metastasis. The aim of this study is to assess prognostic factors influencing local control, progression-free and overall survival in oligometastatic patients treated with SBRT for an adrenal metastasis. Methods In this multicentric retrospective study, we included patients with adrenal metastases treated with SBRT between 2010 and 2021 in eleven french centers. All primary tumors were included. Results A total of 110 patients treated for 121 adrenal lesions were included. Non-small-cell lung cancer was the predominant histologic type (55.4 %). Eighty-two percent of patients had at least 2 metastatic sites. The median Planning Target Volume was 70 cm3 with a median prescription dose of 40 Gray (Gy). The mean Biologically Effective Dose (BED) 10 dose was 74.2 Gy. Local control at 1 and 2 years was 85.9 % and 72.5 % respectively. The median overall survival and progression-free survival were 31.6 and 8.5 months respectively. Local control was significantly improved by systemic treatment one month before or after SBRT (p = 0.009) and by a BED10 greater than or equal to 50 Gy (p = 0.003).In multivariate analysis, oligometastatic presentation (p = 0.009) and a metachronous metastatic presentation (p = 0.008) were independent factors for progression-free survival.Tolerance was excellent, no grade 3 and 4 toxicities were described due to SBRT. Conclusion Stereotactic radiotherapy of adrenal metastases makes possible a local control of more than 85% at one year and was well tolerated. The factors influencing survival in oligometastatic patients still need to be found in order to better select those who benefit the most from this type of treatment.
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Affiliation(s)
- C. Yuste
- Institut de Cancérologie de l'Ouest, Angers, France
| | - V. Passerat
- Centre Bayard, Orlam, Villeurbanne, France
- Colib – Club des Oncologues Libéraux, Le Mans, France
| | - G. Calais
- Colib – Club des Oncologues Libéraux, Le Mans, France
- Hôpital Bretonneau 2, clinique d'oncologie et de radiothérapie (CORAD), Tours, France
| | - B. Schipman
- Institut de Cancérologie de Bourgogne, Dijon, France
| | - L. Vaugier
- Institut de Cancérologie de l’Ouest, St Herblain, France
| | - A. Paumier
- Institut de Cancérologie de l'Ouest, Angers, France
| | - A. Huertas
- Institut de Radiothérapie Sud de l'Oise, Creil, France
| | - CG. Hemery
- Polyclinique de Courlancy, Reims, France
| | - C. Debelleix
- Clinique Bordeaux Tivoli-Ducos, Bordeaux, France
| | - J. Chamois
- Private Hospital, Saint-Grégoire, France
| | | | | | - Y. Pointreau
- Colib – Club des Oncologues Libéraux, Le Mans, France
- Hôpital Bretonneau 2, clinique d'oncologie et de radiothérapie (CORAD), Tours, France
- Weprom, Angers, France
- Institut inter-régional de Cancérologie (ILC) - Centre Jean Bernard, Le Mans, France
- Centre de Cancérologie de la Sarthe (CCS), Le Mans, France
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Gouda MA, Janku F, Wahida A, Buschhorn L, Schneeweiss A, Abdel Karim N, De Miguel Perez D, Del Re M, Russo A, Curigliano G, Rolfo C, Subbiah V. Liquid Biopsy Response Evaluation Criteria in Solid Tumors (LB-RECIST). Ann Oncol 2024; 35:267-275. [PMID: 38145866 DOI: 10.1016/j.annonc.2023.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 10/17/2023] [Accepted: 12/09/2023] [Indexed: 12/27/2023] Open
Abstract
Current evaluation of treatment response in solid tumors depends on dynamic changes in tumor diameters as measured by imaging. However, these changes can only be detected when there are enough macroscopic changes in tumor volume, which limits the usability of radiological response criteria in evaluating earlier stages of disease response and necessitates much time to lapse for gross changes to be notable. One promising approach is to incorporate dynamic changes in circulating tumor DNA (ctDNA), which occur early in the course of therapy and can predict tumor responses weeks before gross size changes manifest. However, several issues need to be addressed before recommending the implementation of ctDNA response criteria in daily clinical practice such as clinical, biological, and regulatory challenges and, most importantly, the need to standardize/harmonize detection methods and ways to define ctDNA response and/or progression for precision oncology. Herein, we review the use of liquid biopsy (LB) to evaluate response in solid tumors and propose a plan toward standardization of LB-RECIST.
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Affiliation(s)
- M A Gouda
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston
| | - F Janku
- Monte Rosa Therapeutics, Boston, USA
| | - A Wahida
- Division of Gynecological Oncology, National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - L Buschhorn
- Division of Gynecological Oncology, National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - A Schneeweiss
- Division of Gynecological Oncology, National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - N Abdel Karim
- Inova Schar Cancer Institute, Fairfax, (5)University of Virginia, Charlottesville
| | - D De Miguel Perez
- Center for Thoracic Oncology, Icahn School of Medicine at Mount Sinai, New York, USA
| | - M Del Re
- Center for Thoracic Oncology, Icahn School of Medicine at Mount Sinai, New York, USA
| | - A Russo
- Medical Oncology Unit, Papardo Civil Hospital and Department of Human Pathology, University of Messina, Messina
| | - G Curigliano
- Department of Oncology and Hemato-Oncology, University of Milano, Milano; Division of Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milano, Italy
| | - C Rolfo
- Center for Thoracic Oncology, Icahn School of Medicine at Mount Sinai, New York, USA
| | - V Subbiah
- Sarah Cannon Research Institute, Nashville, USA.
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Griffith JF, Yip SWY, van der Heijden RA, Valenzuela RF, Yeung DKW. Perfusion Imaging of the Musculoskeletal System. Magn Reson Imaging Clin N Am 2024; 32:181-206. [PMID: 38007280 DOI: 10.1016/j.mric.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2023]
Abstract
Perfusion imaging is the aspect of functional imaging, which is most applicable to the musculoskeletal system. In this review, the anatomy and physiology of bone perfusion is briefly outlined as are the methods of acquiring perfusion data on MR imaging. The current clinical indications of perfusion related to the assessment of soft tissue and bone tumors, synovitis, osteoarthritis, avascular necrosis, Keinbock's disease, diabetic foot, osteochondritis dissecans, and Paget's disease of bone are reviewed. Challenges and opportunities related to perfusion imaging of the musculoskeletal system are also briefly addressed.
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Affiliation(s)
- James F Griffith
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong.
| | - Stefanie W Y Yip
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong
| | - Rianne A van der Heijden
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA
| | - Raul F Valenzuela
- Department of Musculoskeletal Imaging, The University of Texas, MD Anderson Cancer Center, USA
| | - David K W Yeung
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong
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Li Y, Zhang H, Yue L, Fu C, Grimm R, Li W, Guo W, Tong T. Whole tumor based texture analysis of magnetic resonance diffusion imaging for colorectal liver metastases: A prospective study for diffusion model comparison and early response biomarker. Eur J Radiol 2024; 170:111203. [PMID: 38007855 DOI: 10.1016/j.ejrad.2023.111203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/16/2023] [Accepted: 11/14/2023] [Indexed: 11/28/2023]
Abstract
PURPOSE To evaluate and compare the diagnostic value of diffusion-related texture analysis parameters obtained from various magnetic resonance diffusion models as early predictors of the clinical response to chemotherapy in patients with colorectal liver metastases (CRLM). METHODS Patients (n = 145) with CRLM were prospectively and consecutively enrolled and scanned using diffusion-weighted imaging (DWI)-magnetic resonance imaging (MRI)/intravoxel incoherent motion (IVIM)/diffusion kurtosis imaging (DKI) before (baseline) and two-three weeks after (follow-up) commencing chemotherapy. Therapy response was evaluated based on the Response Evaluation Criteria in Solid Tumors (RECIST, version 1.1). The histogram and texture parameters of each diffusion-related parametric map were analysed between the responding and non-responding groups, screened using LASSO, and fitted with binary logistic regression models. The diagnostic efficacy of each model in the early prediction of CRLM was analysed, and the corresponding receiver operating characteristic (ROC) curve was drawn. The area under the curve (AUC) and 95% confidence intervals (CI) were calculated. RESULTS Of the 145 analysed patients, 69 were in the responding group and 76 were in the non-responding group. Among all models, the difference value based on the histogram and texture features of the DKI-derived parameters performed best for the early prediction of CRLM treatment efficacy. The AUC of the DKI model in the validation set reached 0.795 (95% CI 0.652-0.938). Among the IVIM-derived parameters, the difference model based on D and D* performed best, and the AUC in the validation set reached 0.737 (95% CI 0.586-0.889). Finally, in the DWI sequence, the model comprising baseline features performed the best, with an AUC of 0.699 (95% CI 0.537-0.86) in the validation set. CONCLUSIONS Baseline DWI parameters and follow-up changes in IVIM and DKI parameters predicted the chemotherapeutic response in patients with CRLM. In addition, as very early predictors, DKI-derived parameters were more effective than DWI- and IVIM-related parameters, in which changes in D-parameters performed best.
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Affiliation(s)
- Yue Li
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Huan Zhang
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lei Yue
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Caixia Fu
- MR Collaboration, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China
| | - Robert Grimm
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Wenhua Li
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Weijian Guo
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Tong Tong
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Morakote W, Adams LC, Ramasamy SK, Spunt SL, Baratto L, Liang T, Daldrup-Link HE. Tyrosine kinase inhibitor therapy in pediatric sarcoma: Prognostic implications of pulmonary metastatic cavitation. Pediatr Blood Cancer 2023; 70:e30629. [PMID: 37580891 PMCID: PMC10947454 DOI: 10.1002/pbc.30629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 07/08/2023] [Accepted: 08/06/2023] [Indexed: 08/16/2023]
Abstract
PURPOSES This study aims to ascertain the prevalence of cavitations in pulmonary metastases among pediatric and young adult patients with sarcoma undergoing tyrosine kinase inhibitor (TKI) therapy, and assess whether cavitation can predict clinical response and survival outcomes. METHODS In a single-center retrospective analysis, we examined chest computed tomography (CT) scans of 17 patients (median age 16 years; age range: 4-25 years) with histopathologically confirmed bone (n = 10) or soft tissue (n = 7) sarcoma who underwent TKI treatment for lung metastases. The interval between TKI initiation and the onset of lung nodule cavitation and tumor regrowth were assessed. The combination of all imaging studies and clinical data served as the reference standard for clinical responses. Progression-free survival (PFS) was compared between patients with cavitating and solid nodules using Kaplan-Meier survival analysis and log-rank test. RESULTS Five out of 17 patients (29%) exhibited cavitation of pulmonary nodules during TKI therapy. The median time from TKI initiation to the first observed cavitation was 79 days (range: 46-261 days). At the time of cavitation, all patients demonstrated stable disease. When the cavities began to fill with solid tumor, 60% (3/5) of patients exhibited progression in other pulmonary nodules. The median PFS for patients with cavitated pulmonary nodules after TKI treatment (6.7 months) was significantly longer compared to patients without cavitated nodules (3.8 months; log-rank p-value = .03). CONCLUSIONS Cavitation of metastatic pulmonary nodules in sarcoma patients undergoing TKI treatment is indicative of non-progressive disease, and significantly correlates with PFS.
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Affiliation(s)
- Wipawee Morakote
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, California, USA
- Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Lisa C Adams
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, California, USA
| | - Shakthi K Ramasamy
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, California, USA
| | - Sheri L Spunt
- Department of Pediatrics, Division of Hematology and Oncology, Stanford University, Stanford, California, USA
| | - Lucia Baratto
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, California, USA
| | - Tie Liang
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, California, USA
| | - Heike E Daldrup-Link
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, California, USA
- Department of Pediatrics, Division of Hematology and Oncology, Stanford University, Stanford, California, USA
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11
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Lu CY, Hsiao CY, Peng PJ, Huang SC, Chuang MR, Su HJ, Huang KW. DNA Methylation Biomarkers as Prediction Tools for Therapeutic Response and Prognosis in Intermediate-Stage Hepatocellular Carcinoma. Cancers (Basel) 2023; 15:4465. [PMID: 37760434 PMCID: PMC10527266 DOI: 10.3390/cancers15184465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/29/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
INTRODUCTION Alfa-fetoprotein (AFP), as the main serum tumor marker of hepatocellular carcinoma (HCC), is limited in terms of specificity and ability to predict outcomes. This study investigated the clinical utility of DNA methylation biomarkers to predict therapeutic responses and prognosis in intermediate-stage HCC. METHODS This study enrolled 72 patients with intermediate-stage HCC who underwent locoregional therapy (LRT) between 2020 and 2021. The immediate therapeutic response and disease status during a two-year follow-up were recorded. Analysis was performed on 10 selected DNA methylation biomarkers via pyrosequencing analysis of plasma collected before and after LRT. RESULTS Analysis was performed on 53 patients with complete responses and 19 patients with disease progression after LRT. The mean follow-up duration was 2.4 ± 0.6 years. A methylation prediction model for tumor response (MMTR) and a methylation prediction model for early progression (MMEP) were constructed. The area under the curve (AUC) for sensitivity and specificity of MMTR was 0.79 for complete response and 0.759 for overall survival. The corresponding AUCs for sensitivity and specificity of AFP and protein induced by vitamin K absence-II (PIVKA-II) were 0.717 and 0.708, respectively. Note that the MMTR index was the only significant predictor in multivariate analysis. The AUC for sensitivity and specificity of the MMEP in predicting early progression was 0.79. The corresponding AUCs for sensitivity and specificity of AFP and PIVKA-II were 0.758 and 0.714, respectively. Multivariate analysis revealed that platelet count, beyond up-to-7 criteria, and the MMEP index were strongly correlated with early tumor progression. Combining the indexes and serum markers further improved the predictive accuracy (AUC = 0.922). Multivariate analysis revealed the MMEP index was the only independent risk factor for overall survival. DISCUSSION/CONCLUSIONS This study indicates that these methylation markers could potentially outperform current serum markers in terms of accuracy and reliability in assessing treatment response and predicting outcomes. Combining methylation markers and serum markers further improved predictive accuracy, indicating that a multi-marker approach may be more effective in clinical practice. These findings suggest that DNA methylation biomarkers may be a useful tool for managing intermediate-stage HCC patients and guiding personalized treatment, particularly for those who are at high risk for close surveillance or adjuvant treatment after LRT.
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Affiliation(s)
- Chang-Yi Lu
- Phalanx Biotech Group, Hsinchu 300, Taiwan; (C.-Y.L.); (S.-C.H.); (H.-J.S.)
| | - Chih-Yang Hsiao
- Department of Surgery and Hepatitis Research Center, National Taiwan University Hospital, Taipei 100, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
- Department of Traumatology, National Taiwan University Hospital, Taipei 100, Taiwan
| | - Pey-Jey Peng
- Phalanx Biotech Group, Hsinchu 300, Taiwan; (C.-Y.L.); (S.-C.H.); (H.-J.S.)
| | - Shao-Chang Huang
- Phalanx Biotech Group, Hsinchu 300, Taiwan; (C.-Y.L.); (S.-C.H.); (H.-J.S.)
| | - Meng-Rong Chuang
- Phalanx Biotech Group, Hsinchu 300, Taiwan; (C.-Y.L.); (S.-C.H.); (H.-J.S.)
| | - Hung-Ju Su
- Phalanx Biotech Group, Hsinchu 300, Taiwan; (C.-Y.L.); (S.-C.H.); (H.-J.S.)
| | - Kai-Wen Huang
- Department of Surgery and Hepatitis Research Center, National Taiwan University Hospital, Taipei 100, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
- Center for Functional Image and Interventional Therapy, National Taiwan University, Taipei 100, Taiwan
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12
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Chen CW, Lin CY, Tsai JS, Lin CY, Chang CC, Yen YT, Tseng YL, Su PL, Lin CC. Low neutrophil-to-lymphocyte ratio predicts overall survival benefit in advanced NSCLC patients with low PD-L1 expression and receiving chemoimmunotherapy. Front Oncol 2023; 13:1238876. [PMID: 37671055 PMCID: PMC10475717 DOI: 10.3389/fonc.2023.1238876] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 07/28/2023] [Indexed: 09/07/2023] Open
Abstract
Although combination therapy including chemotherapy and immune checkpoint inhibitors (ICIs) improves overall survival (OS) of patients with non-small-cell lung cancer (NSCLC), there is a higher incidence of adverse events and treatment discontinuation. Since programmed death-ligand 1 (PD-L1) could not serve as a predictive biomarker, we investigated the neutrophil-to-lymphocyte ratio (NLR) as a predictive biomarker. In our previous research, we demonstrated that a low NLR could predict survival benefits when patients with high PD-L1 expression (> 50%) received chemoimmunotherapy as opposed to immunotherapy alone. In this current study, our objective is to evaluate this predictive capacity in patients with low PD-L1 expression (< 50%). A total of 142 patients were enrolled, 28 receiving combination therapy and 114 receiving chemotherapy alone. Progression-free survival (PFS) and OS were estimated using the Kaplan-Meier method and compared using the log-rank test. Patients who received combination therapy had significantly better PFS and OS than those who received monotherapy. In the subgroup of patients with low NLR, those who received combination therapy exhibited extended PFS and OS with clinical significance, which was also confirmed by multivariate Cox regression analysis. Our study demonstrates the potential use of NLR as a biomarker for predicting survival benefits when receiving combination therapy with chemotherapy and ICIs in patients with advanced NSCLC and low PD-L1 expression.
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Affiliation(s)
- Chian-Wei Chen
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chien-Yu Lin
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Jeng-Shiuan Tsai
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chia-Yin Lin
- Department of Medical Image, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chao-Chun Chang
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yi-Ting Yen
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yau-Lin Tseng
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Po-Lan Su
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan
| | - Chien-Chung Lin
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Institute of Clinical Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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13
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Garcia-Tejedor A, Ortega-Exposito C, Salinas S, Luzardo-González A, Falo C, Martinez-Pérez E, Pérez-Montero H, Soler-Monsó MT, Bajen MT, Benitez A, Ortega R, Petit A, Guma A, Campos M, Plà MJ, Pernas S, Peñafiel J, Yeste C, Gil-Gil M, Guedea F, Ponce J, Laplana M. Axillary lymph node dissection versus radiotherapy in breast cancer with positive sentinel nodes after neoadjuvant therapy (ADARNAT trial). Front Oncol 2023; 13:1184021. [PMID: 37621686 PMCID: PMC10446877 DOI: 10.3389/fonc.2023.1184021] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 07/04/2023] [Indexed: 08/26/2023] Open
Abstract
Introduction Breast cancer surgery currently focuses on de-escalating treatment without compromising patient survival. Axillary radiotherapy (ART) now replaces axillary lymph node dissection (ALND) in patients with limited sentinel lymph node (SLN) involvement during the primary surgery, and this has significantly reduced the incidence of lymphedema without worsening the prognosis. However, patients treated with neoadjuvant systemic treatment (NST) cannot benefit from this option despite the low incidence of residual disease in the armpit in most cases. Data regarding the use of radiotherapy instead of ALND in this population are lacking. This study will assess whether ART is non-inferior to ALND in terms of recurrence and overall survival in patients with positive SLN after NST, including whether it reduces surgery-related adverse effects. Methods and analyses This multicenter, randomized, open-label, phase 3 trial will enroll 1660 patients with breast cancer and positive SLNs following NST in approximately 50 Spanish centers over 3 years. Patients will be stratified by NST regimen and nodal involvement (isolated tumoral cells or micrometastasis versus macrometastasis) and randomly assigned 1:1 to ART without ALND (study arm) or ALND alone (control arm). Level 3 and supraclavicular radiotherapy will be added in both arms. The primary outcome is the 5-year axillary recurrence determined by clinical and radiological examination. The secondary outcomes include lymphedema or arm dysfunction, quality of life based (EORTC QLQ-C30 and QLQ-BR23 questionnaires), disease-free survival, and overall survival. Discussion This study aims to provide data to confirm the efficacy and safety of ART over ALND in patients with a positive SLN after NST, together with the impact on morbidity. Ethics and dissemination The Research Ethics Committee of Bellvitge University Hospital approved this trial (Protocol Record PR148/21, version 3, 1/2/2022) and all patients must provide written informed consent. The involvement of around 50 centers across Spain will facilitate the dissemination of our results. Trial registration ClinicalTrials.gov, identifier number NCT04889924.
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Affiliation(s)
- Amparo Garcia-Tejedor
- Department of Gynaecology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Carlos Ortega-Exposito
- Department of Gynaecology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Sira Salinas
- Rehabilitation Service, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Ana Luzardo-González
- Rehabilitation Service, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Catalina Falo
- Department of Medical Oncology, Multidisciplinary Breast Cancer Unit, Institut Català d’Oncología, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Evelyn Martinez-Pérez
- Department of Radiation Oncology, Multidisciplinary Breast Cancer Unit. Institut Català d’Oncología, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Héctor Pérez-Montero
- Department of Radiation Oncology, Multidisciplinary Breast Cancer Unit. Institut Català d’Oncología, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - M. Teresa Soler-Monsó
- Department of Pathology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Maria-Teresa Bajen
- Department of Nuclear Medicine, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Ana Benitez
- Department of Nuclear Medicine, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Raul Ortega
- Department of Radiology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Anna Petit
- Department of Pathology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Anna Guma
- Department of Radiology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Miriam Campos
- Department of Gynaecology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Maria J. Plà
- Department of Gynaecology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Sonia Pernas
- Department of Medical Oncology, Multidisciplinary Breast Cancer Unit, Institut Català d’Oncología, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Judith Peñafiel
- Biostatistics Unit, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Carlos Yeste
- Degree in Biology, Monitoring, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Miguel Gil-Gil
- Department of Medical Oncology, Multidisciplinary Breast Cancer Unit, Institut Català d’Oncología, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Ferran Guedea
- Department of Radiation Oncology, Multidisciplinary Breast Cancer Unit. Institut Català d’Oncología, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Jordi Ponce
- Department of Gynaecology, Multidisciplinary Breast Cancer Unit, Hospital Universitari Bellvitge, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
| | - Maria Laplana
- Department of Radiation Oncology, Multidisciplinary Breast Cancer Unit. Institut Català d’Oncología, Instituto de Investigación Biomédica de Bellvitge, Barcelona, Spain
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14
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Feng L, Chen Q, Huang L, Long L. Radiomics features of computed tomography and magnetic resonance imaging for predicting response to transarterial chemoembolization in hepatocellular carcinoma: a meta-analysis. Front Oncol 2023; 13:1194200. [PMID: 37519801 PMCID: PMC10374837 DOI: 10.3389/fonc.2023.1194200] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 06/26/2023] [Indexed: 08/01/2023] Open
Abstract
Purpose To examine the methodological quality of radiomics-related studies and evaluate the ability of radiomics to predict treatment response to transarterial chemoembolization (TACE) for hepatocellular carcinoma (HCC). Methods A systematic review was performed on radiomics-related studies published until October 15, 2022, predicting the effectiveness of TACE for HCC. Methodological quality and risk of bias were assessed using the Radiomics Quality Score (RQS) and Quality Assessment of Diagnostic Accuracy Studies-2 tools, respectively. Pooled sensitivity, pooled specificity, and area under the curve (AUC) were determined to evaluate the utility of radiomics in predicting the response to TACE for HCC. Results In this systematic review, ten studies were eligible, and six of these studies were used in our meta-analysis. The RQS ranged from 7-21 (maximum possible score: 36). The pooled sensitivity and specificity were 0.89 (95% confidence interval (CI) = 0.79-0.95) and 0.82 (95% CI = 0.64-0.92), respectively. The overall AUC was 0.93 (95% CI = 0.90-0.95). Conclusion Radiomics-related studies evaluating the efficacy of TACE in patients with HCC revealed promising results. However, prospective and multicenter trials are warranted to make radiomics more feasible and acceptable.
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Affiliation(s)
- Lijuan Feng
- Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Qianjuan Chen
- Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Linjie Huang
- Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Liling Long
- Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Gaungxi Medical University, Ministry of Education, Nanning, Guangxi, China
- Guangxi Key Laboratory of Immunology and Metabolism for Liver Diseases, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
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15
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Lin C, Hu C, Hsu C, Tsai J, Chen C, Lin C, Chang C, Yen Y, Tseng Y, Su P, Lin C. Chemotherapy outcomes in EGFR-TKI resistant patients with common and uncommon EGFR mutation: An exploratory retrospective cohort study. Thorac Cancer 2023; 14:1857-1864. [PMID: 37183851 PMCID: PMC10317592 DOI: 10.1111/1759-7714.14930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 04/24/2023] [Accepted: 04/25/2023] [Indexed: 05/16/2023] Open
Abstract
BACKGROUND Some prospective studies have shown that second-generation tyrosine kinase inhibitors (TKIs) provide better control in patients with non-small cell lung cancer (NSCLC) with uncommon epidermal growth factor receptor (EGFR) mutations. However, studies comparing second-line chemotherapy efficacy between NSCLC patients with common and uncommon EGFR mutations remain rare. This retrospective study compared treatment outcomes in these patients. METHODS Patients with EGFR-mutated advanced-stage NSCLC who received first-line EGFR-TKIs in a tertiary referral center were retrospectively reviewed between January 2010 and August 2022. Patients with a negative T790M test at disease progression who received second-line chemotherapy were enrolled. We compared progression-free (PFS) and overall (OS) survival between advanced NSCLC patients with common and uncommon EGFR mutations using Kaplan-Meier and log-rank tests. RESULTS In total, 209 (54.8%) patients had a negative T790M mutation test and received second-line chemotherapy, of which 192 (91.8%) had a common EGFR mutation (exon 19 deletion or exon 21 L858R substitution), and 17 (8.2%) had an uncommon EGFR mutation. Patients with common EGFR mutations had significantly longer PFS than those with uncommon EGFR mutations (4.57 vs. 2.57 months, p = 0.031). A Cox proportional hazard regression analysis controlling for potential confounding factors indicated that an uncommon EGFR mutation was an independent prognostic factor for PFS. CONCLUSION This study suggests that patients with uncommon EGFR mutations have poorer chemotherapy responses and shorter survival than those with common EGFR mutations. The development of new treatment strategies for these patients remains an unmet need.
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Affiliation(s)
- Chien‐Yu Lin
- Department of Internal Medicine, National Cheng Kung University Hospital, College of MedicineNational Cheng Kung UniversityTainanTaiwan, ROC
| | - Chia‐Hao Hu
- Department of Internal Medicine, National Cheng Kung University Hospital, College of MedicineNational Cheng Kung UniversityTainanTaiwan, ROC
| | - Chia‐Fu Hsu
- Department of Internal MedicineTainan Municipal HospitalTainanTaiwan, ROC
| | - Jeng‐Shiuan Tsai
- Department of Internal Medicine, National Cheng Kung University Hospital, College of MedicineNational Cheng Kung UniversityTainanTaiwan, ROC
| | - Chian‐Wei Chen
- Department of Internal Medicine, National Cheng Kung University Hospital, College of MedicineNational Cheng Kung UniversityTainanTaiwan, ROC
| | - Chia‐Yin Lin
- Department of Medical Imaging, National Cheng Kung University Hospital, College of MedicineNational Cheng Kung UniversityTainanTaiwan, ROC
| | - Chao‐Chun Chang
- Department of Surgery, National Cheng Kung University Hospital, College of MedicineNational Cheng Kung UniversityTainanTaiwan, ROC
| | - Yi‐Ting Yen
- Department of Surgery, National Cheng Kung University Hospital, College of MedicineNational Cheng Kung UniversityTainanTaiwan, ROC
| | - Yau‐Lin Tseng
- Department of Surgery, National Cheng Kung University Hospital, College of MedicineNational Cheng Kung UniversityTainanTaiwan, ROC
| | - Po‐Lan Su
- Department of Internal Medicine, National Cheng Kung University Hospital, College of MedicineNational Cheng Kung UniversityTainanTaiwan, ROC
| | - Chien‐Chung Lin
- Department of Internal Medicine, National Cheng Kung University Hospital, College of MedicineNational Cheng Kung UniversityTainanTaiwan, ROC
- Institute of Clinical Medicine, National Cheng Kung University Hospital, College of MedicineNational Cheng Kung UniversityTainanTaiwan, ROC
- Department of Biochemistry and Molecular Biology, College of MedicineNational Cheng Kung UniversityTainanTaiwan, ROC
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16
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Brose A, Michalski K, Ruf J, Tosch M, Eschmann SM, Schreckenberger M, König J, Nestle U, Miederer M. PET/CT reading for relapse in non-small cell lung cancer after chemoradiotherapy in the PET-Plan trial cohort. Cancer Imaging 2023; 23:45. [PMID: 37198668 DOI: 10.1186/s40644-023-00567-6] [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: 07/07/2022] [Accepted: 05/09/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND Current studies indicate that fluorine-18-fluorodeoxyglucose positron emission tomography/ computed tomography ([18F]FDG PET/CT) is the most accurate imaging modality for the detection of relapsed locally advanced non-small cell lung cancer (NSCLC) after curatively intended chemoradiotherapy. To this day, there is no objective and reproducible definition for the diagnosis of disease recurrence in PET/CT, the reading of which is relevantly influenced by post radiation inflammatory processes. The aim of this study was to evaluate and compare visual and threshold-based semi-automated evaluation criteria for the assessment of suspected tumor recurrence in a well-defined study population investigated during the randomized clinical PET-Plan trial. METHODS This retrospective analysis comprises 114 PET/CT data sets of 82 patients from the PET-Plan multi-center study cohort who underwent [18F]FDG PET/CT imaging at different timepoints for relapse, as suspected by CT. Scans were first analyzed visually by four blinded readers using a binary scoring system for each possible localization and the associated reader certainty of the evaluation. Visual evaluations were conducted repeatedly without and with additional knowledge of the initial staging PET and radiotherapy delineation volumes. In a second step, uptake was measured quantitatively using maximum standardized uptake value (SUVmax), peak standardized uptake value corrected for lean body mass (SULpeak), and a liver threshold-based quantitative assessment model. Resulting sensitivity and specificity for relapse detection were compared to the findings in the visual assessment. The gold standard of recurrence was independently defined by prospective study routine including external reviewers using CT, PET, biopsies and clinical course of the disease. RESULTS Overall interobserver agreement (IOA) of the visual assessment was moderate with a high difference between secure (ĸ = 0.66) and insecure (ĸ = 0.24) evaluations. Additional knowledge of the initial staging PET and radiotherapy delineation volumes improved the sensitivity (0.85 vs 0.92) but did not show significant impact on the specificity (0.86 vs 0.89). PET parameters SUVmax and SULpeak showed lower accuracy compared to the visual assessment, whereas threshold-based reading showed similar sensitivity (0.86) and higher specificity (0.97). CONCLUSION Visual assessment especially if associated with high reader certainty shows very high interobserver agreement and high accuracy that can be further increased by baseline PET/CT information. The implementation of a patient individual liver threshold value definition, similar to the threshold definition in PERCIST, offers a more standardized method matching the accuracy of experienced readers albeit not providing further improvement of accuracy.
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Affiliation(s)
- Alexander Brose
- Department of Translational Imaging in Oncology, National Center for Tumor Diseases (NCT/UCC) Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Faculty of Medicine and University Hospital Carl Gustav Carus, University of Technology Dresden (TUD), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany.
- Department of Diagnostic and Interventional Radiology, University Hospital Giessen, Giessen, Germany.
| | - Kerstin Michalski
- Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
- Department of Nuclear Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Juri Ruf
- Department of Nuclear Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Marco Tosch
- Department of Nuclear Medicine, Helios University Hospital Wuppertal, Wuppertal, Germany
- Department of Medicine, Faculty of Health, University of Witten/Herdecke, Witten, Germany
| | - Susanne M Eschmann
- Department of Nuclear Medicine, Marienhospital Stuttgart, Stuttgart, Germany
| | - Mathias Schreckenberger
- Department of Nuclear Medicine, University Medical Center Mainz, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Jochem König
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center Mainz, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Ursula Nestle
- Department of Radiation Oncology, Kliniken Maria Hilf, Mönchengladbach, Germany
- Department of Radiation Oncology, University Hospital Freiburg, Freiburg, Germany
| | - Matthias Miederer
- Department of Translational Imaging in Oncology, National Center for Tumor Diseases (NCT/UCC) Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Faculty of Medicine and University Hospital Carl Gustav Carus, University of Technology Dresden (TUD), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
- Department of Nuclear Medicine, University Medical Center Mainz, Johannes Gutenberg-University Mainz, Mainz, Germany
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17
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Garcia-Tejedor A, Falo C, Fernandez-Gonzalez S, Laplana M, Gil-Gil M, Soler-Monso T, Martinez-Perez E, Calvo I, Calpelo H, Bajen MT, Benitez A, Ortega R, Petit A, Guma A, Campos M, Stradella A, Lopez-Ojeda A, Ponce J, Pla MJ, Pernas S. Management of the axilla in postmenopausal patients with cN0 hormone receptor-positive/HER2-negative breast cancer treated with neoadjuvant endocrine therapy and its prognostic impact. Breast Cancer Res Treat 2023; 199:445-456. [PMID: 37043108 DOI: 10.1007/s10549-023-06926-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 03/28/2023] [Indexed: 04/13/2023]
Abstract
PURPOSE To evaluate the differences in nodal positivity if the sentinel lymph node biopsy (SLNB) is performed before or after neoadjuvant endocrine therapy (NET) in breast cancer patients, and its impact on prognosis. METHODS A retrospective cohort study was performed in a single center including 91 postmenopausal cases with clinically node-negative and hormone receptor-positive/HER2-negative (HR + /HER2-) breast cancer, treated with NET and SLNB. SLNB was done pre-NET until 2014, and post-NET thereafter. Axillary lymph node dissection (ALND) was indicated only in SLNB macrometastasis, although in selected elderly patients, it was omitted. Kaplan-Meier survival curves were estimated in relation to the status of the axilla, and the differences assessed using the log-rank test. RESULTS Between December 2006 and March 2022, SLNB was performed pre-NET in 14 cases and post-NET in 77. Both groups were similar in baseline tumor and patient characteristics. SLNB positivity was similar regardless of whether SLNB was performed before (5/14, 35.7%) or after NET (27/77, 37%), with 2/14 SLN macrometastases in the pre-NET cohort and 17/77 in the post-NET cohort. Only three patients (18.7%) with SLN macrometastasis had > 3 positive nodes following ALND. The 5-year overall survival and distant disease-free survival were 92.4% and 94.8%, respectively, with no significant differences according to SLNB status (p 0.5 and 0.8, respectively). CONCLUSION SLN positivity did not differ according to its timing (before or after NET). Therefore, NET has no effect on lymph node clearance. Furthermore, the prognosis is good regardless of the axillary involvement. Therefore, factors other than axillary involvement may affect the prognosis in these patients.
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Affiliation(s)
- Amparo Garcia-Tejedor
- Department of Gynaecology. Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Bellvitge Hospital, Ave. Feixa Llarga, sn Hospitalet de Llobregat, 08970, Barcelona, Spain.
| | - Catalina Falo
- Department of Medical Oncology. Multidisciplinary Breast Cancer Unit, Institut Català d'Oncología, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Sergi Fernandez-Gonzalez
- Department of Gynaecology. Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Bellvitge Hospital, Ave. Feixa Llarga, sn Hospitalet de Llobregat, 08970, Barcelona, Spain
| | - Maria Laplana
- Department of Oncologic Radiotherapy. Multidisciplinary Breast Cancer Unit, Institut Català d'Oncología. IDIBELL, Barcelona, Spain
| | - Miguel Gil-Gil
- Department of Medical Oncology. Multidisciplinary Breast Cancer Unit, Institut Català d'Oncología, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Teresa Soler-Monso
- Department of Pathology. Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Barcelona, Spain
| | - Evelyn Martinez-Perez
- Department of Oncologic Radiotherapy. Multidisciplinary Breast Cancer Unit, Institut Català d'Oncología. IDIBELL, Barcelona, Spain
| | - Iris Calvo
- Department of Gynaecology. Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Bellvitge Hospital, Ave. Feixa Llarga, sn Hospitalet de Llobregat, 08970, Barcelona, Spain
| | - Hugo Calpelo
- Department of Gynaecology. Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Bellvitge Hospital, Ave. Feixa Llarga, sn Hospitalet de Llobregat, 08970, Barcelona, Spain
| | - Maria-Teresa Bajen
- Department of Nuclear Medicine, Multidisciplinary Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Barcelona, Spain
| | - Ana Benitez
- Department of Nuclear Medicine, Multidisciplinary Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Barcelona, Spain
| | - Raul Ortega
- Department of Radiology. Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Barcelona, Spain
| | - Anna Petit
- Department of Pathology. Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Barcelona, Spain
| | - Anna Guma
- Department of Radiology. Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Barcelona, Spain
| | - Miriam Campos
- Department of Gynaecology. Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Bellvitge Hospital, Ave. Feixa Llarga, sn Hospitalet de Llobregat, 08970, Barcelona, Spain
| | - Agostina Stradella
- Department of Medical Oncology. Multidisciplinary Breast Cancer Unit, Institut Català d'Oncología, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Ana Lopez-Ojeda
- Department of Plastic Surgery. Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Barcelona, Spain
| | - Jordi Ponce
- Department of Gynaecology. Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Bellvitge Hospital, Ave. Feixa Llarga, sn Hospitalet de Llobregat, 08970, Barcelona, Spain
| | - Maria J Pla
- Department of Gynaecology. Multidisciplinary, Breast Cancer Unit. Hospital Universitari Bellvitge, Idibell, Bellvitge Hospital, Ave. Feixa Llarga, sn Hospitalet de Llobregat, 08970, Barcelona, Spain
| | - Sonia Pernas
- Department of Medical Oncology. Multidisciplinary Breast Cancer Unit, Institut Català d'Oncología, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.
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Effect of BIM expression on the prognostic value of PD-L1 in advanced non-small cell lung cancer patients treated with EGFR-TKIs. Sci Rep 2023; 13:3943. [PMID: 36894581 PMCID: PMC9998621 DOI: 10.1038/s41598-023-30565-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 02/25/2023] [Indexed: 03/11/2023] Open
Abstract
The role of Programmed Cell Death Ligand 1 (PD-L1) expression in predicting epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKIs) efficacy remains controversial. Recent studies have highlighted that tumor-intrinsic PD-L1 signaling can be modulated by STAT3, AKT, MET oncogenic pathway, epithelial-mesenchymal transition, or BIM expression. This study aimed to investigate whether these underlying mechanisms affect the prognostic role of PD-L1. We retrospectively enrolled patients with EGFR mutant advanced stage NSCLC who received first-line EGFR-TKI between January 2017 and June 2019, the treatment efficacy of EGFR-TKI was assessed. Kaplan-Meier analysis of progression-free survival (PFS) revealed that patients with high BIM expression had shorter PFS, regardless of PD-L1 expression. This result was also supported by the COX proportional hazard regression analysis. In vitro, we further proved that the knockdown of BIM, instead of PDL1, induced more cell apoptosis following gefitinib treatment. Our data suggest that among the pathways affecting tumor-intrinsic PD-L1 signaling, BIM is potentially the underlying mechanism that affects the role of PD-L1 expression in predicting response to EGFR TKI and mediates cell apoptosis under treatment with gefitinib in EGFR-mutant NSCLC. Further prospective studies are required to validate these results.
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19
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Staal FC, Taghavi M, Hong EK, Tissier R, van Treijen M, Heeres BC, van der Zee D, Tesselaar ME, Beets-Tan RG, Maas M. CT-based radiomics to distinguish progressive from stable neuroendocrine liver metastases treated with somatostatin analogues: an explorative study. Acta Radiol 2023; 64:1062-1070. [PMID: 35702011 DOI: 10.1177/02841851221106598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Accurate response evaluation in patients with neuroendocrine liver metastases (NELM) remains a challenge. Radiomics has shown promising results regarding response assessment. PURPOSE To differentiate progressive (PD) from stable disease (SD) with radiomics in patients with NELM undergoing somatostatin analogue (SSA) treatment. MATERIAL AND METHODS A total of 46 patients with histologically confirmed gastroenteropancreatic neuroendocrine tumors (GEP-NET) with ≥1 NELM and ≥2 computed tomography (CT) scans were included. Response was assessed with Response Evaluation Criteria in Solid Tumors (RECIST1.1). Hepatic target lesions were manually delineated and analyzed with radiomics. Radiomics features were extracted from each NELM on both arterial-phase (AP) and portal-venous-phase (PVP) CT. Multiple instance learning with regularized logistic regression via LASSO penalization (with threefold cross-validation) was used to classify response. Three models were computed: (i) AP model; (ii) PVP model; and (iii) AP + PVP model for a lesion-based and patient-based outcome. Next, clinical features were added to each model. RESULTS In total, 19 (40%) patients had PD. Median follow-up was 13 months (range 1-50 months). Radiomics models could not accurately classify response (area under the curve 0.44-0.60). Adding clinical variables to the radiomics models did not significantly improve the performance of any model. CONCLUSION Radiomics features were not able to accurately classify response of NELM on surveillance CT scans during SSA treatment.
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Affiliation(s)
- Femke Cr Staal
- Department of Radiology, 1228The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology, 5211Maastricht University Medical Centre, Maastricht, The Netherlands
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, 1228Netherlands Cancer Institute Amsterdam/University Medical Center Utrecht, Utrecht, The Netherlands
| | - M Taghavi
- Department of Radiology, 1228The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology, 5211Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Eun K Hong
- Department of Radiology, 1228The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology, 5211Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Radiology, 26725Seoul National University Hospital, Seoul, Republic of Korea
| | - Renaud Tissier
- Biostatistics Center, 1228The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Mark van Treijen
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, 1228Netherlands Cancer Institute Amsterdam/University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Endocrine Oncology, 8124University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Birthe C Heeres
- Department of Radiology, 1228The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Margot Et Tesselaar
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, 1228Netherlands Cancer Institute Amsterdam/University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Medical Oncology, 1228The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Regina Gh Beets-Tan
- Department of Radiology, 1228The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology, 5211Maastricht University Medical Centre, Maastricht, The Netherlands
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Monique Maas
- Department of Radiology, 1228The Netherlands Cancer Institute, Amsterdam, The Netherlands
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20
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Wijewardene A, Hoang J, Maw AM, Gild M, Tacon L, Roach P, Schembri G, Chan D, Clifton-Bligh R. I-PET score: Combining whole body iodine and 18 F-FDG PET/CT imaging to predict progression in structurally or biochemically incomplete thyroid cancer. Clin Endocrinol (Oxf) 2023; 98:436-446. [PMID: 35918798 DOI: 10.1111/cen.14804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 06/28/2022] [Accepted: 07/27/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE We propose a new scoring system (I-PET) combining whole body scan (WBS) and FDG findings to identify patients who have or are likely to become refractory to radioactive iodine. DESIGN Retrospective analysis of 142 patients age >18 with differentiated thyroid cancer who had a F-18 labelled fluoro-2-deoxyglucose (18 F-FDG) positron emission tomography (PET) and WBS within a 6-month period between 2010 and 2020. Pairs of 18 F-FDG PET and WBS were reviewed by three independent nuclear medicine physicians and an I-PET score was assigned: I-PET [0]: Iodine -ve/FDG -ve, I-PET [1]: Iodine +ve/FDG -ve, I-PET [2]: Iodine +ve/FDG +ve and I-PET [3]: Iodine -ve/FDG +ve. Patients with FDG +ve lesions (I-PET [2] and I-PET [3]) were further classified into groups A and B if SUVmax was ≤5 or >5, respectively. Follow-up data were obtained by chart review. Progression was defined as structural progression as per RECIST 1.1 or further surgical intervention; or biochemical progression as unstimulated thyroglobulin increasing >20% from baseline. RESULTS Of 142 patients included in the study 121 patients had follow-up data available for review. At baseline, 49 patients were classified as I-PET [0], 10 as I-PET [1], 16 as I-PET [2] and 46 as I-PET [3]. Progression was seen in 11/49 (22%) of I-PET [0], 4/10 (40%) of I-PET [1], 10/16 (63%) of I-PET [2] and 34/46 (74%) of I-PET [3] (p < 0.001). I-PET [2B] and I-PET [3B] had a progression rate of 88% (7/8) and 78% (25/32), respectively. I-PET [3B] were 9.6 times more likely to commence multikinase inhibitor therapy (p = 0.001) and had 8 times greater mortality (p = 0.003) than patients in other I-PET groups combined. CONCLUSION I-PET is a simple readily acquired imaging biomarker that potentially enhances the dynamic risk stratification and guide treatment in thyroid cancer.
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Affiliation(s)
- Ayanthi Wijewardene
- Department of Endocrinology, Royal North Shore Hospital, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Jeremy Hoang
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Nuclear Medicine Department, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Aung Min Maw
- Nuclear Medicine Department, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Matti Gild
- Department of Endocrinology, Royal North Shore Hospital, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Lyndal Tacon
- Department of Endocrinology, Royal North Shore Hospital, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Paul Roach
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Nuclear Medicine Department, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Geoffrey Schembri
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Nuclear Medicine Department, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - David Chan
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Medical Oncology Department, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Roderick Clifton-Bligh
- Department of Endocrinology, Royal North Shore Hospital, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
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21
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Russo GM, Russo A, Urraro F, Cioce F, Gallo L, Belfiore MP, Sangiovanni A, Napolitano S, Troiani T, Verolino P, Sica A, Brancaccio G, Briatico G, Nardone V, Reginelli A. Management of Non-Melanoma Skin Cancer: Radiologists Challenging and Risk Assessment. Diagnostics (Basel) 2023; 13:diagnostics13040793. [PMID: 36832281 PMCID: PMC9955870 DOI: 10.3390/diagnostics13040793] [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: 01/16/2023] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023] Open
Abstract
Basal cell carcinoma, squamous cell carcinoma, and Merkel cell carcinoma are the three main types of nonmelanoma skin cancers and their rates of occurrence and mortality have been steadily rising over the past few decades. For radiologists, it is still difficult to treat patients with advanced nonmelanoma skin cancer. Nonmelanoma skin cancer patients would benefit greatly from an improved diagnostic imaging-based risk stratification and staging method that takes into account patient characteristics. The risk is especially elevated among those who previously received systemic treatment or phototherapy. Systemic treatments, including biologic therapies and methotrexate (MTX), are effective in managing immune-mediated diseases; however, they may increase susceptibility to NMSC due to immunosuppression or other factors. Risk stratification and staging tools are crucial in treatment planning and prognostic evaluation. PET/CT appears more sensitive and superior to CT and MRI for nodal and distant metastasis as well as in surveillance after surgery. The patient treatment response improved with advent and utilization of immunotherapy and different immune-specific criteria are established to standardized evaluation criteria of clinical trials but none of them have been utilized routinely with immunotherapy. The advent of immunotherapy has also arisen new critical issues for radiologists, such as atypical response pattern, pseudo-progression, as well as immune-related adverse events that require early identification to optimize and improve patient prognosis and management. It is important for radiologists to have knowledge of the radiologic features site of the tumor, clinical stage, histological subtype, and any high-risk features to assess immunotherapy treatment response and immune-related adverse events.
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Affiliation(s)
- Gaetano Maria Russo
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80123 Naples, Italy
- Correspondence:
| | - Anna Russo
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80123 Naples, Italy
| | - Fabrizio Urraro
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80123 Naples, Italy
| | - Fabrizio Cioce
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80123 Naples, Italy
| | - Luigi Gallo
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80123 Naples, Italy
| | - Maria Paola Belfiore
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80123 Naples, Italy
| | - Angelo Sangiovanni
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80123 Naples, Italy
| | - Stefania Napolitano
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80123 Naples, Italy
| | - Teresa Troiani
- Unit of Plastic Surgery, Multidisciplinary Department of Medical Surgical and Dental Specialties, University of Campania “Luigi Vanvitelli”, 80120 Naples, Italy
| | - Pasquale Verolino
- Unit of Plastic Surgery, Multidisciplinary Department of Medical Surgical and Dental Specialties, University of Campania “Luigi Vanvitelli”, 80120 Naples, Italy
| | - Antonello Sica
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80123 Naples, Italy
| | - Gabriella Brancaccio
- Unit of Dermatology, University of Campania “Luigi Vanvitelli”, 80123 Naples, Italy
| | - Giulia Briatico
- Unit of Dermatology, University of Campania “Luigi Vanvitelli”, 80123 Naples, Italy
| | - Valerio Nardone
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80123 Naples, Italy
| | - Alfonso Reginelli
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80123 Naples, Italy
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Mahajan A, Chakrabarty N, Majithia J, Ahuja A, Agarwal U, Suryavanshi S, Biradar M, Sharma P, Raghavan B, Arafath R, Shukla S. Multisystem Imaging Recommendations/Guidelines: In the Pursuit of Precision Oncology. Indian J Med Paediatr Oncol 2023. [DOI: 10.1055/s-0043-1761266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023] Open
Abstract
AbstractWith an increasing rate of cancers in almost all age groups and advanced screening techniques leading to an early diagnosis and longer longevity of patients with cancers, it is of utmost importance that radiologists assigned with cancer imaging should be prepared to deal with specific expected and unexpected circumstances that may arise during the lifetime of these patients. Tailored integration of preventive and curative interventions with current health plans and global escalation of efforts for timely diagnosis of cancers will pave the path for a cancer-free world. The commonly encountered circumstances in the current era, complicating cancer imaging, include coronavirus disease 2019 infection, pregnancy and lactation, immunocompromised states, bone marrow transplant, and screening of cancers in the relevant population. In this article, we discuss the imaging recommendations pertaining to cancer screening and diagnosis in the aforementioned clinical circumstances.
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Affiliation(s)
- Abhishek Mahajan
- Department of Radiology, The Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, United Kingdom
| | - Nivedita Chakrabarty
- Radiodiagnosis, Tata Memorial Hospital, Mumbai, India
- Homi Bhabha National Institute, Mumbai, India
| | - Jinita Majithia
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
| | | | - Ujjwal Agarwal
- Radiodiagnosis, Tata Memorial Hospital, Mumbai, India
- Homi Bhabha National Institute, Mumbai, India
| | - Shubham Suryavanshi
- Radiodiagnosis, Tata Memorial Hospital, Mumbai, India
- Homi Bhabha National Institute, Mumbai, India
| | - Mahesh Biradar
- Radiodiagnosis, Tata Memorial Hospital, Mumbai, India
- Homi Bhabha National Institute, Mumbai, India
| | - Prerit Sharma
- Radiodiagnosis, Sharma Diagnostic Centre, Wardha, India
| | | | | | - Shreya Shukla
- Radiodiagnosis, Tata Memorial Hospital, Mumbai, India
- Homi Bhabha National Institute, Mumbai, India
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23
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Predicting Soft Tissue Sarcoma Response to Neoadjuvant Chemotherapy Using an MRI-Based Delta-Radiomics Approach. Mol Imaging Biol 2023:10.1007/s11307-023-01803-y. [PMID: 36695966 DOI: 10.1007/s11307-023-01803-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 01/14/2023] [Accepted: 01/16/2023] [Indexed: 01/26/2023]
Abstract
OBJECTIVES To evaluate the performance of machine learning-augmented MRI-based radiomics models for predicting response to neoadjuvant chemotherapy (NAC) in soft tissue sarcomas. METHODS Forty-four subjects were identified retrospectively from patients who received NAC at our institution for pathologically proven soft tissue sarcomas. Only subjects who had both a baseline MRI prior to initiating chemotherapy and a post-treatment scan at least 2 months after initiating chemotherapy and prior to surgical resection were included. 3D ROIs were used to delineate whole-tumor volumes on pre- and post-treatment scans, from which 1708 radiomics features were extracted. Delta-radiomics features were calculated by subtraction of baseline from post-treatment values and used to distinguish treatment response through univariate analyses as well as machine learning-augmented radiomics analyses. RESULTS Though only 4.74% of variables overall reached significance at p ≤ 0.05 in univariate analyses, Laws Texture Energy (LTE)-derived metrics represented 46.04% of all such features reaching statistical significance. ROC analyses similarly failed to predict NAC response, with AUCs of 0.40 (95% CI 0.22-0.58) and 0.44 (95% CI 0.26-0.62) for RF and AdaBoost, respectively. CONCLUSION Overall, while our result was not able to separate NAC responders from non-responders, our analyses did identify a subset of LTE-derived metrics that show promise for further investigations. Future studies will likely benefit from larger sample size constructions so as to avoid the need for data filtering and feature selection techniques, which have the potential to significantly bias the machine learning procedures.
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Granata V, Fusco R, Setola SV, Simonetti I, Picone C, Simeone E, Festino L, Vanella V, Vitale MG, Montanino A, Morabito A, Izzo F, Ascierto PA, Petrillo A. Immunotherapy Assessment: A New Paradigm for Radiologists. Diagnostics (Basel) 2023; 13:diagnostics13020302. [PMID: 36673112 PMCID: PMC9857844 DOI: 10.3390/diagnostics13020302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/31/2022] [Accepted: 01/08/2023] [Indexed: 01/14/2023] Open
Abstract
Immunotherapy denotes an exemplar change in an oncological setting. Despite the effective application of these treatments across a broad range of tumors, only a minority of patients have beneficial effects. The efficacy of immunotherapy is affected by several factors, including human immunity, which is strongly correlated to genetic features, such as intra-tumor heterogeneity. Classic imaging assessment, based on computed tomography (CT) or magnetic resonance imaging (MRI), which is useful for conventional treatments, has a limited role in immunotherapy. The reason is due to different patterns of response and/or progression during this kind of treatment which differs from those seen during other treatments, such as the possibility to assess the wide spectrum of immunotherapy-correlated toxic effects (ir-AEs) as soon as possible. In addition, considering the unusual response patterns, the limits of conventional response criteria and the necessity of using related immune-response criteria are clear. Radiomics analysis is a recent field of great interest in a radiological setting and recently it has grown the idea that we could identify patients who will be fit for this treatment or who will develop ir-AEs.
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Affiliation(s)
- Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
- Correspondence:
| | - Roberta Fusco
- Medical Oncology Division, Igea SpA, 80013 Naples, Italy
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy
| | - Sergio Venanzio Setola
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Igino Simonetti
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Carmine Picone
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Ester Simeone
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Naples, Italy
| | - Lucia Festino
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Naples, Italy
| | - Vito Vanella
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Naples, Italy
| | - Maria Grazia Vitale
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Naples, Italy
| | - Agnese Montanino
- Thoracic Medical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Alessandro Morabito
- Thoracic Medical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Francesco Izzo
- Division of Epatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Paolo Antonio Ascierto
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy
| | - Antonella Petrillo
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
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25
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Jorg T, Mildenberger P, Stöhr F. [Interdisciplinary case discussions]. RADIOLOGIE (HEIDELBERG, GERMANY) 2023; 63:103-109. [PMID: 36629884 PMCID: PMC9838417 DOI: 10.1007/s00117-023-01114-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 01/03/2023] [Indexed: 01/12/2023]
Abstract
BACKGROUND Interdisciplinary case discussions, especially tumor conferences, represent a large part of the clinical radiologist's daily work. Radiology plays a key role in tumor conferences, since imaging findings have a direct influence on therapy decisions. METHODS AND OBJECTIVES This article discusses the requirements for the radiologist in preparing and conducting tumor conferences. Furthermore, the general conditions and forms of implementation of tumor conferences will be highlighted. Information technology (IT) tools for process automation and systems for assessing the course of tumor diseases will be presented. RESULTS Detailed preparation of tumor conferences and clear communication of findings is essential. The radiological expertise in tumor conferences often leads to changes or adjustments of initially planned therapies. In addition to traditional face-to-face meetings, hybrid solutions have become established for tumor conferences in which the core team is on site and other participants (external referring physicians, internal participants outside the core team) are connected via video conference. Various systems have been established for assessing the course of tumor diseases. Due to its broad applicability, RECIST 1.1. is the most widely used. IT tools enable previously marked lesions to be displayed over time in a matrix view (lesion tracking). Artificial intelligence (AI) can also be used to automatically detect lesions and assess their volumes. CONCLUSION Preparing and conducting tumor conferences is time-consuming for radiologists. IT tools can automate and thus facilitate the processes. Hybrid solutions combining face-to-face meetings and video conferences make it easier for external referring physicians to present their patients in tumor conferences.
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Affiliation(s)
- Tobias Jorg
- Klinik und Poliklinik für diagnostische und interventionelle Radiologie, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Langenbeckstr. 1, 55151 Mainz, Deutschland
| | - Peter Mildenberger
- Klinik und Poliklinik für diagnostische und interventionelle Radiologie, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Langenbeckstr. 1, 55151 Mainz, Deutschland
| | - Fabian Stöhr
- Klinik und Poliklinik für diagnostische und interventionelle Radiologie, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Langenbeckstr. 1, 55151 Mainz, Deutschland
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Chen YY, Su PL, Huang WL, Chang CC, Yen YT, Lin CC, Tseng YL. The surgical resection of the primary tumor increases survival in patients with EGFR-mutant advanced non-small cell lung cancer: a tertiary center cohort study. Sci Rep 2022; 12:22560. [PMID: 36581631 PMCID: PMC9800377 DOI: 10.1038/s41598-022-22957-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 10/21/2022] [Indexed: 12/30/2022] Open
Abstract
Tumor resection could increase treatment efficacy of epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKI) in patients with advanced EGFR-mutant non-small cell lung cancer (NSCLC). This study aimed to retrospectively analyze patients with advanced EGFR-mutant NSCLC from a Taiwanese tertiary center and receiving EGFR-TKI treatment with or without tumor resection. A total of 349 patients were enrolled. After propensity score matching, 53 EGFR-TKI treated patients and 53 EGFR-TKI treated patients with tumor resection were analyzed. The tumor resection group showed improved progression-free survival (PFS) (52.0 vs. 9.8 months; hazard ratio [HR] = 0.19; p < 0.001) and overall survival (OS) (not reached vs. 30.6 months; HR = 0.14; p < 0.001) compared to the monotherapy group. In the subgroup analysis of patients with newly-diagnosed NSCLC, the tumor resection group showed longer PFS (52.0 vs. 9.9 months; HR = 0.14; p < 0.001) and OS (not reached vs. 32.6 months; HR = 0.12; p < 0.001) than the monotherapy group. In conclusion. the combination of EGFR-TKI and tumor resection provided better PFS and OS than EGFR-TKI alone, and patients who underwent tumor resection within six months had fewer co-existing genomic alterations and better PFS.
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Affiliation(s)
- Ying-Yuan Chen
- Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan City, 701, Taiwan
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No.138, Sheng Li Road, Tainan City, 704, Taiwan
| | - Po-Lan Su
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No.138, Sheng Li Road, Tainan City, 704, Taiwan
- Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, No.1, University Road, Tainan City, 701, Taiwan
| | - Wei-Li Huang
- Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan City, 701, Taiwan
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No.138, Sheng Li Road, Tainan City, 704, Taiwan
| | - Chao-Chun Chang
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No.138, Sheng Li Road, Tainan City, 704, Taiwan
| | - Yi-Ting Yen
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No.138, Sheng Li Road, Tainan City, 704, Taiwan
| | - Chien-Chung Lin
- Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan City, 701, Taiwan
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No.138, Sheng Li Road, Tainan City, 704, Taiwan
- Institute of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan City, 701, Taiwan
| | - Yau-Lin Tseng
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No.138, Sheng Li Road, Tainan City, 704, Taiwan.
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Targeting the FGF/FGFR axis and its co-alteration allies. ESMO Open 2022; 7:100647. [PMID: 36455506 PMCID: PMC9808461 DOI: 10.1016/j.esmoop.2022.100647] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/09/2022] [Accepted: 10/24/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND We analyzed the FGF/FGFR and co-alteration cancer landscape, hypothesizing that combination therapy might be useful in the presence of co-drivers. MATERIALS AND METHODS We describe FGF/FGFR-altered pathways, prognosis, and co-alterations [cBioPortal (N = 7574)] and therapeutic outcomes [University of California San Diego Molecular Tumor Board (MTB) (N = 16)]. RESULTS Patients whose cancers harbored FGF/FGFR alterations (N = 1074) versus those without them (N = 6500) had shorter overall survival (OS) (median: 23.1 versus 26.4 months, P = 0.038) (cBioPortal). Only 6.1% (65/1074 patients) had no pathogenic co-alterations accompanying FGF/FGFR axis abnormalities. The most frequently co-altered pathways/genes involved: TP53 (70%); cell cycle (58%); PI3K (55%); and receptor tyrosine kinases and mitogen-activated protein kinase (MAPK) (65%). Harboring alterations in both FGF/FGFR and in the TP53 pathway or in the cell cycle pathway correlated with shorter OS (versus FGF/FGFR-altered without those co-altered signals) (P = 0.0001 and 0.0065). Four of 16 fibroblast growth factor receptor (FGFR) inhibitor-treated patients presented at MTB attained durable partial responses (PRs) (9, 12, 22+, and 52+ months); an additional two, stable disease (SD) of ≥6 months (13+ and 15 months) [clinical benefit rate (SD ≥ 6 months/PR) = 38%]. Importantly, six patients with cyclin pathway co-alterations received the CDK4/6 inhibitor palbociclib (75 mg p.o. 3 weeks on, 1 week off) and the multikinase FGFR inhibitor lenvatinib (10 mg p.o. daily); three (50%) achieved a PR [9 (ovarian), 12 (biliary), and 52+ months (osteosarcoma)]. Palbociclib and lenvatinib were tolerated well. CONCLUSIONS FGF/FGFR alterations portend a poor prognosis and are frequently accompanied by pathogenic co-aberrations. Malignancies harboring co-alterations that activate both cyclin and FGFR pathways can be co-targeted by CDK4/6 and FGFR inhibitors.
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Liu C, Tadros G, Smith Q, Martinez L, Jeffries J, Yu Z, Yu Q. Selective internal radiation therapy of metastatic breast cancer to the liver: A meta-analysis. Front Oncol 2022; 12:887653. [PMID: 36505832 PMCID: PMC9729947 DOI: 10.3389/fonc.2022.887653] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 10/28/2022] [Indexed: 11/25/2022] Open
Abstract
Introduction The aim of this study is to conduct a meta-analysis to assess the efficacy of yttrium-90 selective internal radiation therapy (SIRT) in treating patients with breast cancer with hepatic metastasis. Method PubMed and The Cochrane Library were queried from establishment to January 2021. The following keywords were implemented: "breast", "yttrium", and "radioembolization". The following variables and outcomes were collected: publication year, region, sample size, study design, presence of extrahepatic disease, tumor burden, infused radioactivity, breast cancer subtype, previous treatment, median survival time (MST), length of follow-up, adverse events, and radiographical response such as Response Evaluation Criteria in Solid Tumors (RECIST), modified RECIST (mRECIST), and Positron Emission Tomography Response Criteria in Solid Tumors (PERCIST). Results A total of 24 studies from 14 institutions were included in the present meta-analysis. On the basis of the data from 412 patients, post-embolization MST was 9.8 [95% confidence interval (CI): 9.0-11.6] months. Patients with additional extrahepatic metastasis had a poorer survival rate compared with those with localized hepatic metastasis only (MST: 5.3 vs. 15 months, p < 0.0001). Patients with <25% liver tumor burden exhibited more promising survival than those with >25% (MST: 10.5 vs. 6.8 months, p < 0.0139). On the basis of RECIST, mRECIST, and PERCIST criteria, tumor response rate was 36% (95% CI: 26%-47%), 49% (95% CI: 34%-65%), and 47% (95% CI: 17%-78%), respectively, whereas tumor control rate was 85% (95% CI: 76%-93%), 73% (95% CI: 59%-85%), and 97% (95% CI: 91%-100%), respectively. Conclusion On the basis of the available published evidence, SIRT is feasible and effective in treating patients with breast cancer with liver metastasis. Patients with lower hepatic tumor burden and without extrahepatic metastasis demonstrated more survival benefit. Future randomized controlled trials are warranted.
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Affiliation(s)
- Chenyu Liu
- School of Medicine, George Washington University, Washington DC, United States
| | - George Tadros
- Department of Surgery, Cleveland Clinic Florida, Weston, FL, United States
| | - Quinn Smith
- Kansas City University, College of Osteopathic Medicine, Kansas City, MO, United States
| | - Linda Martinez
- School of Medicine, Ross University, Miramar, FL, United States
| | - James Jeffries
- Interventional Radiology, University of Chicago, Chicago, IL, United States
| | - Zhiyong Yu
- Department of Breast Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Qian Yu
- Interventional Radiology, University of Chicago, Chicago, IL, United States,*Correspondence: Qian Yu,
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Panico C, Ferrara F, Woitek R, D’Angelo A, Di Paola V, Bufi E, Conti M, Palma S, Cicero SL, Cimino G, Belli P, Manfredi R. Staging Breast Cancer with MRI, the T. A Key Role in the Neoadjuvant Setting. Cancers (Basel) 2022; 14:cancers14235786. [PMID: 36497265 PMCID: PMC9739275 DOI: 10.3390/cancers14235786] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 11/15/2022] [Accepted: 11/17/2022] [Indexed: 11/27/2022] Open
Abstract
Breast cancer (BC) is the most common cancer among women worldwide. Neoadjuvant chemotherapy (NACT) indications have expanded from inoperable locally advanced to early-stage breast cancer. Achieving a pathological complete response (pCR) has been proven to be an excellent prognostic marker leading to better disease-free survival (DFS) and overall survival (OS). Although diagnostic accuracy of MRI has been shown repeatedly to be superior to conventional methods in assessing the extent of breast disease there are still controversies regarding the indication of MRI in this setting. We intended to review the complex literature concerning the tumor size in staging, response and surgical planning in patients with early breast cancer receiving NACT, in order to clarify the role of MRI. Morphological and functional MRI techniques are making headway in the assessment of the tumor size in the staging, residual tumor assessment and prediction of response. Radiomics and radiogenomics MRI applications in the setting of the prediction of response to NACT in breast cancer are continuously increasing. Tailored therapy strategies allow considerations of treatment de-escalation in excellent responders and avoiding or at least postponing breast surgery in selected patients.
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Affiliation(s)
- Camilla Panico
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
- Correspondence:
| | - Francesca Ferrara
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Ramona Woitek
- Medical Image Analysis and AI (MIAAI), Danube Private University, 3500 Krems, Austria
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK
- Cancer Research UK Cambridge Centre, Cambridge CB2 0RE, UK
| | - Anna D’Angelo
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Valerio Di Paola
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Enida Bufi
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Marco Conti
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Simone Palma
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Stefano Lo Cicero
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Giovanni Cimino
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Paolo Belli
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Riccardo Manfredi
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
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Tsai JS, Wei SH, Chen CW, Yang SC, Tseng YL, Su PL, Lin CC, Su WC. Pembrolizumab and Chemotherapy Combination Prolonged Progression-Free Survival in Patients with NSCLC with High PD-L1 Expression and Low Neutrophil-to-Lymphocyte Ratio. Pharmaceuticals (Basel) 2022; 15:1407. [PMID: 36422537 PMCID: PMC9694359 DOI: 10.3390/ph15111407] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 11/05/2022] [Accepted: 11/10/2022] [Indexed: 09/07/2023] Open
Abstract
The use of immune checkpoint inhibitors (ICIs) has provided overall survival (OS) benefits in patients with treatment-naïve advanced non-small cell lung cancer (NSCLC) without targetable driver mutations. However, studies comparing ICIs monotherapy with combination therapy either with chemotherapy or radiotherapy in programmed death-ligand 1 high expressors remain limited. This study aimed to retrospectively compare the treatment efficacy of the therapies by studying 47 patients with treatment-naïve advanced NSCLC who received ICI monotherapy (n = 28) or combination therapy either with chemotherapy or radiotherapy (n = 19). Progression-free survival (PFS) and OS were estimated using the Kaplan-Meier method and compared using log-rank tests. It was observed that patients who received combination therapy had a better PFS than monotherapy, but no such significant benefit was observed in OS. The difference in PFS was higher in the subgroup of patients with low neutrophil-to-lymphocyte ratio (NLR) than in the high-NLR patient subgroup. This study suggests that pembrolizumab in combination with chemotherapy or radiotherapy could provide a significant benefit in PFS, especially in patients with treatment-naïve advanced NSCLC with low NLR. Furthermore, our study also demonstrates the potential use of NLR as a biomarker for prediction of treatment outcomes in patients with advanced NSCLC receiving combination therapy.
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Affiliation(s)
- Jeng-Shiuan Tsai
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Sheng-Huan Wei
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Chian-Wei Chen
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Szu-Chun Yang
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Yau-Lin Tseng
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Po-Lan Su
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Chien-Chung Lin
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
- Institute of Clinical Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
- Department of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Wu-Chou Su
- Institute of Clinical Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
- Center of Applied Nanomedicine, National Cheng Kung University, Tainan 704, Taiwan
- Department of Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
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Huang SY, Hsu WL, Hsu RJ, Liu DW. Fully Convolutional Network for the Semantic Segmentation of Medical Images: A Survey. Diagnostics (Basel) 2022; 12:diagnostics12112765. [PMID: 36428824 PMCID: PMC9689961 DOI: 10.3390/diagnostics12112765] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/19/2022] [Accepted: 11/04/2022] [Indexed: 11/16/2022] Open
Abstract
There have been major developments in deep learning in computer vision since the 2010s. Deep learning has contributed to a wealth of data in medical image processing, and semantic segmentation is a salient technique in this field. This study retrospectively reviews recent studies on the application of deep learning for segmentation tasks in medical imaging and proposes potential directions for future development, including model development, data augmentation processing, and dataset creation. The strengths and deficiencies of studies on models and data augmentation, as well as their application to medical image segmentation, were analyzed. Fully convolutional network developments have led to the creation of the U-Net and its derivatives. Another noteworthy image segmentation model is DeepLab. Regarding data augmentation, due to the low data volume of medical images, most studies focus on means to increase the wealth of medical image data. Generative adversarial networks (GAN) increase data volume via deep learning. Despite the increasing types of medical image datasets, there is still a deficiency of datasets on specific problems, which should be improved moving forward. Considering the wealth of ongoing research on the application of deep learning processing to medical image segmentation, the data volume and practical clinical application problems must be addressed to ensure that the results are properly applied.
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Affiliation(s)
- Sheng-Yao Huang
- Institute of Medical Science, Tzu Chi University, Hualien 97071, Taiwan
- Department of Radiation Oncology, Hualien Tzu Chi General Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97071, Taiwan
| | - Wen-Lin Hsu
- Department of Radiation Oncology, Hualien Tzu Chi General Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97071, Taiwan
- Cancer Center, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97071, Taiwan
- School of Medicine, Tzu Chi University, Hualien 97071, Taiwan
| | - Ren-Jun Hsu
- Institute of Medical Science, Tzu Chi University, Hualien 97071, Taiwan
- Cancer Center, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97071, Taiwan
- School of Medicine, Tzu Chi University, Hualien 97071, Taiwan
- Correspondence: (R.-J.H.); (D.-W.L.); Tel. & Fax: +886-3-8561825 (R.-J.H. & D.-W.L.)
| | - Dai-Wei Liu
- Institute of Medical Science, Tzu Chi University, Hualien 97071, Taiwan
- Department of Radiation Oncology, Hualien Tzu Chi General Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97071, Taiwan
- Cancer Center, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97071, Taiwan
- School of Medicine, Tzu Chi University, Hualien 97071, Taiwan
- Correspondence: (R.-J.H.); (D.-W.L.); Tel. & Fax: +886-3-8561825 (R.-J.H. & D.-W.L.)
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Couto N, Elzanowska J, Maia J, Batista S, Pereira CE, Beck HC, Carvalho AS, Strano Moraes MC, Carvalho C, Oliveira M, Matthiesen R, Costa-Silva B. IgG+ Extracellular Vesicles Measure Therapeutic Response in Advanced Pancreatic Cancer. Cells 2022; 11:cells11182800. [PMID: 36139375 PMCID: PMC9496671 DOI: 10.3390/cells11182800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/06/2022] [Accepted: 08/18/2022] [Indexed: 12/05/2022] Open
Abstract
(1) Background: Pancreatic ductal adenocarcinoma (PDAC) is expected to be the second-leading cause of cancer deaths by 2030. Imaging techniques are the standard for monitoring the therapy response in PDAC, but these techniques have considerable limits, including delayed disease progression detection and difficulty in distinguishing benign from malignant lesions. Extracellular vesicle (EV) liquid biopsy is an emerging diagnosis modality. Nonetheless, the majority of research for EV-based diagnosis relies on point analyses of EVs at specified times, while longitudinal EV population studies before and during therapeutic interventions remain largely unexplored. (2) Methods: We analyzed plasma EV protein composition at diagnosis and throughout PDAC therapy. (3) Results: We found that IgG is linked with the diagnosis of PDAC and the patient’s response to therapy, and that the IgG+ EV population increases with disease progression and reduces with treatment response. Importantly, this covers PDAC patients devoid of the standard PDAC seric marker CA19.9 expression. We also observed that IgG is bound to EVs via the tumor antigen MAGE B1, and that this is independent of the patient’s inflammatory condition and IgG seric levels. (4) Conclusions: We here propose that a population analysis of IgG+ EVs in PDAC plasma represents a novel method to supplement the monitoring of the PDAC treatment response.
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Affiliation(s)
- Nuno Couto
- Champalimaud Physiology and Cancer Programme, Champalimaud Foundation, 1400-038 Lisbon, Portugal
- Digestive Unit, Champalimaud Clinical Centre, Champalimaud Foundation, 1400-038 Lisbon, Portugal
| | - Julia Elzanowska
- Champalimaud Physiology and Cancer Programme, Champalimaud Foundation, 1400-038 Lisbon, Portugal
| | - Joana Maia
- Champalimaud Physiology and Cancer Programme, Champalimaud Foundation, 1400-038 Lisbon, Portugal
| | - Silvia Batista
- Champalimaud Physiology and Cancer Programme, Champalimaud Foundation, 1400-038 Lisbon, Portugal
| | - Catarina Esteves Pereira
- Champalimaud Physiology and Cancer Programme, Champalimaud Foundation, 1400-038 Lisbon, Portugal
| | - Hans Christian Beck
- Centre for Clinical Proteomics, Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Sdr. Boulevard 29, DK-5000 Odense, Denmark
| | - Ana Sofia Carvalho
- Computational and Experimental Biology Group, iNOVA4Health, NOVA MedicalSchool|Faculdade de Ciências Médicas, NMS|FCM, Universidade Nova de Lisboa, 1150-199 Lisbon, Portugal
| | | | - Carlos Carvalho
- Digestive Unit, Champalimaud Clinical Centre, Champalimaud Foundation, 1400-038 Lisbon, Portugal
| | - Manuela Oliveira
- Department of Mathematics and CIMA-Center for Research on Mathematics and Its Applications, University of Évora, 7004-516 Evora, Portugal
| | - Rune Matthiesen
- Computational and Experimental Biology Group, iNOVA4Health, NOVA MedicalSchool|Faculdade de Ciências Médicas, NMS|FCM, Universidade Nova de Lisboa, 1150-199 Lisbon, Portugal
- Correspondence: (R.M.); (B.C.-S.); Tel.: +351-939-218-696 (R.M.); +351-210-480-134 (B.C.-S.)
| | - Bruno Costa-Silva
- Champalimaud Physiology and Cancer Programme, Champalimaud Foundation, 1400-038 Lisbon, Portugal
- Correspondence: (R.M.); (B.C.-S.); Tel.: +351-939-218-696 (R.M.); +351-210-480-134 (B.C.-S.)
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Distinct cellular dynamics associated with response to CAR-T therapy for refractory B cell lymphoma. Nat Med 2022; 28:1848-1859. [PMID: 36097221 PMCID: PMC9509487 DOI: 10.1038/s41591-022-01959-0] [Citation(s) in RCA: 96] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 07/19/2022] [Indexed: 02/04/2023]
Abstract
Chimeric antigen receptor (CAR)-T cell therapy has revolutionized the treatment of hematologic malignancies. Approximately half of patients with refractory large B cell lymphomas achieve durable responses from CD19-targeting CAR-T treatment; however, failure mechanisms are identified in only a fraction of cases. To gain new insights into the basis of clinical response, we performed single-cell transcriptome sequencing of 105 pretreatment and post-treatment peripheral blood mononuclear cell samples, and infusion products collected from 32 individuals with large B cell lymphoma treated with either of two CD19 CAR-T products: axicabtagene ciloleucel (axi-cel) or tisagenlecleucel (tisa-cel). Expansion of proliferative memory-like CD8 clones was a hallmark of tisa-cel response, whereas axi-cel responders displayed more heterogeneous populations. Elevations in CAR-T regulatory cells among nonresponders to axi-cel were detected, and these populations were capable of suppressing conventional CAR-T cell expansion and driving late relapses in an in vivo model. Our analyses reveal the temporal dynamics of effective responses to CAR-T therapy, the distinct molecular phenotypes of CAR-T cells with differing designs, and the capacity for even small increases in CAR-T regulatory cells to drive relapse.
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Lin CY, Wei SH, Chen YL, Lee CT, Wu SY, Ho CL, Pavlick DC, Su PL, Lin CC. Case report: Salvage capmatinib therapy in KIF5B-MET fusion-positive lung adenocarcinoma with resistance to telisotuzumab vedotin. Front Oncol 2022; 12:919123. [PMID: 36033470 PMCID: PMC9404301 DOI: 10.3389/fonc.2022.919123] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
Telisotuzumab vedotin is a MET-targeting antibody–drug conjugate that has demonstrated a good treatment response in patients with EGFR wild-type MET-overexpressing non-squamous non-small cell lung cancer. However, patients have been reported to acquire resistance to this drug, and the subsequent therapy has not been standardized. Here, we present a case of a 56-year-old woman diagnosed with KIF5B-MET fusion-positive non-small cell lung cancer who had a durable response to capmatinib after acquired resistance to telisotuzumab vedotin.
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Affiliation(s)
- Chien-Yu Lin
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Sheng-Huan Wei
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yi-Lin Chen
- Department of Pathology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chung-Ta Lee
- Department of Pathology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Shang-Yin Wu
- Department of Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chung-Liang Ho
- Department of Pathology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Dean C. Pavlick
- Department of Research and Development, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Po-Lan Su
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- *Correspondence: Po-Lan Su,
| | - Chien-Chung Lin
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Institute of Clinical Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Biochemistry and Molecular Biology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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Wadhawan S, Maini R. ETCD: An effective machine learning based technique for cardiac disease prediction with optimal feature subset selection. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2022.109709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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36
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Granata V, Simonetti I, Fusco R, Setola SV, Izzo F, Scarpato L, Vanella V, Festino L, Simeone E, Ascierto PA, Petrillo A. Management of cutaneous melanoma: radiologists challenging and risk assessment. LA RADIOLOGIA MEDICA 2022; 127:899-911. [PMID: 35834109 DOI: 10.1007/s11547-022-01522-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 06/27/2022] [Indexed: 02/07/2023]
Abstract
Melanoma patient remains a challenging for the radiologist, due to the difficulty related to the management of a patient more often in an advanced stage of the disease. It is necessary to determine a stratification of risk, optimizing the means, with diagnostic tools that should be optimized in relation to the type of patient, and improving knowledge. Staging and risk assessment procedures are determined by disease presentation at diagnosis. Melanoma staging is a critical tool to assist clinical decision-making and prognostic assessment. It is used for clinical trial design, eligibility, stratification, and analysis. The current standard for regional lymph nodes staging is represented by the sentinel lymph node excision biopsy procedure. For staging of distant metastases, PET-CT has the highest sensitivity and diagnostic odds ratio. Similar trend is observed during melanoma surveillance. The advent of immunotherapy, which has improved patient outcome, however, has determined new issues for radiologists, partly due to atypical response patterns, partly due to adverse reactions that must be identified as soon as possible for the correct management of the patient. The main objectives of the new ir-criteria are to standardize the assessment between different trials. However, these ir-criteria do not take into account all cases of atypical response patterns, as hyperprogression or dissociated responses. None of these criteria has actually been uniformly adopted in routine. The immune-related adverse events (irAEs) can involve various organs from head to toe. It is crucial for radiologists to know the imaging appearances of this condition, to exclude recurrent or progressive disease and for pneumonitis, since it could be potentially life-threatening toxicity, resulting in pneumonitis-related deaths in early phase trials, to allow a proper patient management.
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Affiliation(s)
- Vincenza Granata
- Radiology Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale, Naples, Italia", Via Mariano Semmola, Naples, Italy.
| | - Igino Simonetti
- Radiology Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale, Naples, Italia", Via Mariano Semmola, Naples, Italy
| | | | - Sergio Venanzio Setola
- Radiology Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale, Naples, Italia", Via Mariano Semmola, Naples, Italy
| | - Francesco Izzo
- Hepatobiliary Surgical Oncology Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale, Naples, Italia",, Via Mariano Semmola, Naples, Italy
| | - Luigi Scarpato
- Department of Skin Cancers, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | - Vito Vanella
- Department of Skin Cancers, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | - Lucia Festino
- Department of Skin Cancers, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | - Ester Simeone
- Department of Skin Cancers, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | - Paolo Antonio Ascierto
- Department of Skin Cancers, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | - Antonella Petrillo
- Radiology Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale, Naples, Italia", Via Mariano Semmola, Naples, Italy
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Garg T, Shrigiriwar A, Habibollahi P, Cristescu M, Liddell RP, Chapiro J, Inglis P, Camacho JC, Nezami N. Intraarterial Therapies for the Management of Hepatocellular Carcinoma. Cancers (Basel) 2022; 14:cancers14143351. [PMID: 35884412 PMCID: PMC9322128 DOI: 10.3390/cancers14143351] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 12/11/2022] Open
Abstract
Image-guided locoregional therapies play a crucial role in the management of patients with hepatocellular carcinoma (HCC). Transarterial therapies consist of a group of catheter-based treatments where embolic agents are delivered directly into the tumor via their supplying arteries. Some of the transarterial therapies available include bland embolization (TAE), transarterial chemoembolization (TACE), drug-eluting beads-transarterial chemoembolization (DEB-TACE), selective internal radioembolization therapy (SIRT), and hepatic artery infusion (HAI). This article provides a review of pre-procedural, intra-procedural, and post-procedural aspects of each therapy, along with a review of the literature. Newer embolotherapy options and future directions are also briefly discussed.
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Affiliation(s)
- Tushar Garg
- Division of Vascular and Interventional Radiology, Russell H Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (T.G.); (R.P.L.)
| | - Apurva Shrigiriwar
- Division of Gastroenterology and Hepatology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA;
| | - Peiman Habibollahi
- Department of Interventional Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Mircea Cristescu
- Vascular and Interventional Radiology Division, Department of Radiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA;
| | - Robert P. Liddell
- Division of Vascular and Interventional Radiology, Russell H Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (T.G.); (R.P.L.)
| | - Julius Chapiro
- Section of Vascular and Interventional Radiology, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT 06510, USA;
| | - Peter Inglis
- Division of Vascular and Interventional Radiology, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA;
| | - Juan C. Camacho
- Department of Clinical Sciences, College of Medicine, Florida State University, Tallahassee, FL 32306, USA;
- Vascular and Interventional Radiology, Radiology Associates of Florida, Sarasota, FL 34239, USA
| | - Nariman Nezami
- Division of Vascular and Interventional Radiology, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA;
- Experimental Therapeutics Program, University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD 21201, USA
- Correspondence:
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Ravegnini G, Gorini F, Dondi G, Tesei M, De Crescenzo E, Morganti AG, Hrelia P, De Iaco P, Angelini S, Perrone AM. Emerging Role of MicroRNAs in the Therapeutic Response in Cervical Cancer: A Systematic Review. Front Oncol 2022; 12:847974. [PMID: 35747791 PMCID: PMC9209727 DOI: 10.3389/fonc.2022.847974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 04/13/2022] [Indexed: 11/13/2022] Open
Abstract
Cervical cancer is a common female cancer, with nearly 600,000 cases and more than 300,000 deaths worldwide every year. From a clinical point of view, surgery plays a key role in early cancer management, whereas advanced stages are treated with chemotherapy and/or radiation as adjuvant therapies. Nevertheless, predicting the degree of cancer response to chemotherapy or radiation therapy at diagnosis in order to personalize the clinical approach represents the biggest challenge in locally advanced cancers. The feasibility of such predictive models has been repeatedly assessed using histopathological factors, imaging and nuclear methods, tissue and fluid scans, however with poor results. In this context, the identification of novel potential biomarkers remains an unmet clinical need, and microRNAs (miRNAs) represent an interesting opportunity. With this in mind, the aim of this systematic review was to map the current literature on tumor and circulating miRNAs identified as significantly associated with the therapeutic response in cervical cancer; finally, a perspective point of view sheds light on the challenges ahead in this tumor.Systematic Review RegistrationPROSPERO (CRD42021277980).
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Affiliation(s)
- Gloria Ravegnini
- Department of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy
- *Correspondence: Gloria Ravegnini, ; Pierandrea De Iaco, ; Sabrina Angelini,
| | - Francesca Gorini
- Department of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy
| | - Giulia Dondi
- Division of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Marco Tesei
- Division of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Eugenia De Crescenzo
- Division of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Alessio G. Morganti
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Patrizia Hrelia
- Department of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy
| | - Pierandrea De Iaco
- Division of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
- *Correspondence: Gloria Ravegnini, ; Pierandrea De Iaco, ; Sabrina Angelini,
| | - Sabrina Angelini
- Department of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy
- *Correspondence: Gloria Ravegnini, ; Pierandrea De Iaco, ; Sabrina Angelini,
| | - Anna Myriam Perrone
- Division of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
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Zargham H, Strasswimmer J. Rapid response to cemiplimab for advanced cutaneous squamous cell carcinoma. JAAD Case Rep 2022; 26:53-56. [PMID: 35872877 PMCID: PMC9305312 DOI: 10.1016/j.jdcr.2022.05.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Affiliation(s)
- Hanieh Zargham
- Department of Dermatology and Skin Science, The Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Vancouver, Canada
| | - John Strasswimmer
- College of Medicine and College of Sciences Florida Atlantic University, Boca Raton, Florida
- Strasswimmer Dermatology MOHS Surgery, Delray Beach, Florida
- Correspondence to: John Strasswimmer, MD, PhD, Dermatology MOHS Surgery, Dermatology Associates of the Palm Beaches, 2605 West Atlantic Ave Suite 204, Delray Beach, FL 33445.
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Su WC, Tsai YC, Tsai HL, Chang TK, Yin TC, Huang CW, Chen YC, Li CC, Chen PJ, Liu YR, Hsieh TH, Wang JY. Comparison of Next-Generation Sequencing and Polymerase Chain Reaction for Personalized Treatment-Related Genomic Status in Patients with Metastatic Colorectal Cancer. Curr Issues Mol Biol 2022; 44:1552-1563. [PMID: 35723364 PMCID: PMC9164059 DOI: 10.3390/cimb44040106] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 04/01/2022] [Accepted: 04/03/2022] [Indexed: 12/01/2022] Open
Abstract
Personalized treatments based on the genetic profiles of tumors can simultaneously optimize efficacy and minimize toxicity, which is beneficial for improving patient outcomes. This study aimed to integrate gene alterations associated with predictive and prognostic outcomes in patients with metastatic colorectal cancer (mCRC) with polymerase chain reaction (PCR) and in-house next-generation sequencing (NGS) to detect KRAS, NRAS, and BRAF mutations. In the present study, 41 patients with mCRC were assessed between August 2017 and June 2019 at a single institution. The overall concordance between NGS and PCR results for detecting KRAS, NRAS, and BRAF mutations was considerably high (87.8–92.7%), with only 15 discrepant results between PCR and NGS. Our companion diagnostic test analyzes KRAS, NRAS, and BRAF as a panel of CRC molecular targets; therefore, it has the advantages of requiring fewer specimens and being more time and cost efficient than conventional testing for separate analyses, allowing for the simultaneous analysis of multiple genes.
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Affiliation(s)
- Wei-Chih Su
- Division of Colorectal Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan; (W.-C.S.); (Y.-C.T.); (H.-L.T.); (T.-K.C.); (T.-C.Y.); (C.-W.H.); (Y.-C.C.); (C.-C.L.); (P.-J.C.)
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
| | - Yi-Chen Tsai
- Division of Colorectal Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan; (W.-C.S.); (Y.-C.T.); (H.-L.T.); (T.-K.C.); (T.-C.Y.); (C.-W.H.); (Y.-C.C.); (C.-C.L.); (P.-J.C.)
| | - Hsiang-Lin Tsai
- Division of Colorectal Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan; (W.-C.S.); (Y.-C.T.); (H.-L.T.); (T.-K.C.); (T.-C.Y.); (C.-W.H.); (Y.-C.C.); (C.-C.L.); (P.-J.C.)
- Department of Surgery, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
| | - Tsung-Kun Chang
- Division of Colorectal Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan; (W.-C.S.); (Y.-C.T.); (H.-L.T.); (T.-K.C.); (T.-C.Y.); (C.-W.H.); (Y.-C.C.); (C.-C.L.); (P.-J.C.)
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
| | - Tzu-Chieh Yin
- Division of Colorectal Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan; (W.-C.S.); (Y.-C.T.); (H.-L.T.); (T.-K.C.); (T.-C.Y.); (C.-W.H.); (Y.-C.C.); (C.-C.L.); (P.-J.C.)
- Department of Surgery, Kaohsiung Municipal Tatung Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Division of General and Digestive Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
| | - Ching-Wen Huang
- Division of Colorectal Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan; (W.-C.S.); (Y.-C.T.); (H.-L.T.); (T.-K.C.); (T.-C.Y.); (C.-W.H.); (Y.-C.C.); (C.-C.L.); (P.-J.C.)
- Department of Surgery, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
| | - Yen-Cheng Chen
- Division of Colorectal Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan; (W.-C.S.); (Y.-C.T.); (H.-L.T.); (T.-K.C.); (T.-C.Y.); (C.-W.H.); (Y.-C.C.); (C.-C.L.); (P.-J.C.)
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
| | - Ching-Chun Li
- Division of Colorectal Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan; (W.-C.S.); (Y.-C.T.); (H.-L.T.); (T.-K.C.); (T.-C.Y.); (C.-W.H.); (Y.-C.C.); (C.-C.L.); (P.-J.C.)
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
| | - Po-Jung Chen
- Division of Colorectal Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan; (W.-C.S.); (Y.-C.T.); (H.-L.T.); (T.-K.C.); (T.-C.Y.); (C.-W.H.); (Y.-C.C.); (C.-C.L.); (P.-J.C.)
| | - Yun-Ru Liu
- Joint Biobank, Office of Human Research, Taipei Medical University, Taipei 10675, Taiwan; (Y.-R.L.); (T.-H.H.)
| | - Tsung-Han Hsieh
- Joint Biobank, Office of Human Research, Taipei Medical University, Taipei 10675, Taiwan; (Y.-R.L.); (T.-H.H.)
| | - Jaw-Yuan Wang
- Division of Colorectal Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan; (W.-C.S.); (Y.-C.T.); (H.-L.T.); (T.-K.C.); (T.-C.Y.); (C.-W.H.); (Y.-C.C.); (C.-C.L.); (P.-J.C.)
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Department of Surgery, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Center for Cancer Research, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Cohort Research Center, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Pingtung Hospital, Ministry of Health and Welfare, Pingtung 90054, Taiwan
- Clinical Pharmacogenomics and Pharmacoproteomics, School of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan
- Correspondence: ; Tel.: +886-7-3122805
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Linna N, Kahn CE. Applications of Natural Language Processing in Radiology: A Systematic Review. Int J Med Inform 2022; 163:104779. [DOI: 10.1016/j.ijmedinf.2022.104779] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/28/2022] [Accepted: 04/21/2022] [Indexed: 12/27/2022]
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Lefebvre TL, Brown E, Hacker L, Else T, Oraiopoulou ME, Tomaszewski MR, Jena R, Bohndiek SE. The Potential of Photoacoustic Imaging in Radiation Oncology. Front Oncol 2022; 12:803777. [PMID: 35311156 PMCID: PMC8928467 DOI: 10.3389/fonc.2022.803777] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 02/07/2022] [Indexed: 12/16/2022] Open
Abstract
Radiotherapy is recognized globally as a mainstay of treatment in most solid tumors and is essential in both curative and palliative settings. Ionizing radiation is frequently combined with surgery, either preoperatively or postoperatively, and with systemic chemotherapy. Recent advances in imaging have enabled precise targeting of solid lesions yet substantial intratumoral heterogeneity means that treatment planning and monitoring remains a clinical challenge as therapy response can take weeks to manifest on conventional imaging and early indications of progression can be misleading. Photoacoustic imaging (PAI) is an emerging modality for molecular imaging of cancer, enabling non-invasive assessment of endogenous tissue chromophores with optical contrast at unprecedented spatio-temporal resolution. Preclinical studies in mouse models have shown that PAI could be used to assess response to radiotherapy and chemoradiotherapy based on changes in the tumor vascular architecture and blood oxygen saturation, which are closely linked to tumor hypoxia. Given the strong relationship between hypoxia and radio-resistance, PAI assessment of the tumor microenvironment has the potential to be applied longitudinally during radiotherapy to detect resistance at much earlier time-points than currently achieved by size measurements and tailor treatments based on tumor oxygen availability and vascular heterogeneity. Here, we review the current state-of-the-art in PAI in the context of radiotherapy research. Based on these studies, we identify promising applications of PAI in radiation oncology and discuss the future potential and outstanding challenges in the development of translational PAI biomarkers of early response to radiotherapy.
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Affiliation(s)
- Thierry L. Lefebvre
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Emma Brown
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Lina Hacker
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Thomas Else
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Mariam-Eleni Oraiopoulou
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Michal R. Tomaszewski
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | - Rajesh Jena
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Sarah E. Bohndiek
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
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Sheikhbahaei S, Subramaniam RM, Solnes LB. 2-Deoxy-2-[18F] Fluoro-d-Glucose PET/Computed Tomography. PET Clin 2022; 17:307-317. [DOI: 10.1016/j.cpet.2021.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Su PL, Chen JY, Chu CY, Chen YL, Chen WL, Lin KY, Ho CL, Tsai JS, Yang SC, Chen CW, Wu YL, Tseng YL, Chang CC, Yen YT, Lin CY, Lin CC, Su WC. The impact of driver mutation on the treatment outcome of early-stage lung cancer patients receiving neoadjuvant immunotherapy and chemotherapy. Sci Rep 2022; 12:3319. [PMID: 35228655 PMCID: PMC8885645 DOI: 10.1038/s41598-022-07423-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 02/17/2022] [Indexed: 12/30/2022] Open
Abstract
Neoadjuvant immunotherapy and chemotherapy have improved the major pathological response (MPR) in patients with early-stage operable non-small cell lung cancer (NSCLC). This study aimed to assess whether the presence of targetable driver mutations affects the efficacy of the combination of immunotherapy and chemotherapy. We enrolled patients with early-stage operable NSCLC who received preoperative neoadjuvant therapy between January 1, 2017, and December 30, 2020. Neoadjuvant therapy was delivered with platinum-doublet chemotherapy; moreover, pembrolizumab was added at the attending physician’s discretion based on patient’s request. Pathological responses were assessed; moreover, disease-free survival was estimated. Next-generation sequencing was performed in case sufficient preoperative biopsy specimens were obtained. We included 23 patients; among them, 11 received a combination of neoadjuvant immunotherapy and chemotherapy while 12 received neoadjuvant chemotherapy alone. The MPR and pathological complete response rates were 54.5% and 27.3%, respectively, in patients who received a combination of neoadjuvant immunotherapy and chemotherapy. These rates were significantly higher than those in patients who only received neoadjuvant chemotherapy. Three patients in the combination group experienced disease recurrence during the follow-up period even though two of them showed an MPR. These three patients had targetable driver mutations, including an EGFR exon 20 insertion, EGFR exon 21 L858R substitution, and MET exon 14 skipping. Only one patient who remained disease-free had a targetable driver mutation. Among patients with early-stage operable NSCLC requiring neoadjuvant therapy, comprehensive genomic profiling is crucial before the administration of the combination of neoadjuvant immunotherapy and chemotherapy.
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Clinical Perspectives for 18F-FDG PET Imaging in Pediatric Oncology: Μetabolic Tumor Volume and Radiomics. Metabolites 2022; 12:metabo12030217. [PMID: 35323660 PMCID: PMC8956064 DOI: 10.3390/metabo12030217] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/21/2022] [Accepted: 02/22/2022] [Indexed: 11/17/2022] Open
Abstract
Pediatric cancer, although rare, requires the most optimized treatment approach to obtain high survival rates and minimize serious long-term side effects in early adulthood. 18F-FDG PET/CT is most helpful and widely used in staging, recurrence detection, and response assessment in pediatric oncology. The well-known 18F-FDG PET metabolic indices of metabolic tumor volume (MTV) and tumor lesion glycolysis (TLG) have already revealed an independent significant prognostic value for survival in oncologic patients, although the corresponding cut-off values remain study-dependent and not validated for use in clinical practice. Advanced tumor “radiomic” analysis sheds new light into these indices. Numerous patterns of texture 18F-FDG uptake features can be extracted from segmented PET tumor images due to new powerful computational systems supporting complex “deep learning” algorithms. This high number of “quantitative” tumor imaging data, although not decrypted in their majority and once standardized for the different imaging systems and segmentation methods, could be used for the development of new “clinical” models for specific cancer types and, more interestingly, for specific age groups. In addition, data from novel techniques of tumor genome analysis could reveal new genes as biomarkers for prognosis and/or targeted therapies in childhood malignancies. Therefore, this ever-growing information of “radiogenomics”, in which the underlying tumor “genetic profile” could be expressed in the tumor-imaging signature of “radiomics”, possibly represents the next model for precision medicine in pediatric cancer management. This paper reviews 18F-FDG PET image segmentation methods as applied to pediatric sarcomas and lymphomas and summarizes reported findings on the values of metabolic and radiomic features in the assessment of these pediatric tumors.
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Chakrabarty N, Mahajan A, Baheti AD, Choudhari A, Patil V, Popat P, Unde H. A Radiologist's Perspective on Treatment-Related Pseudoprogression: Clues and Hues. Indian J Med Paediatr Oncol 2022. [DOI: 10.1055/s-0042-1742609] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
AbstractPseudoprogression refers to the initial apparent increase in tumor burden observed on imaging after cancer therapy, with subsequent delayed response to the same treatment, thus giving a false initial appearance of disease progression. It is essential to differentiate pseudoprogression from true progression to prevent the patients from getting deprived of the benefits of their ongoing cancer therapy owing to their early withdrawal. It also affects their recruitment for clinical trials. Pseudoprogression, albeit uncommon, has been observed after various types of cancer therapy; however, this phenomenon has gained momentum of late due to the emergence of immunotherapy for the treatment of various malignancies. Besides immunotherapy, pseudoprogression has predominantly been of concern in a few patients after radiation therapy for brain tumors and metastasis, after molecular targeted therapy for a variety of tumors, and after chemotherapy in metastatic bone lesions. This article reviews the available data on imaging of pseudoprogression from various types of cancer therapies, highlighting ways to suspect or identify it on imaging.
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Affiliation(s)
- Nivedita Chakrabarty
- Department of Radiodiagnosis, Tata Memorial Centre, Tata Memorial Hospital, Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
| | - Abhishek Mahajan
- Department of Radiodiagnosis, Tata Memorial Centre, Tata Memorial Hospital, Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
| | - Akshay D. Baheti
- Department of Radiodiagnosis, Tata Memorial Centre, Tata Memorial Hospital, Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
| | - Amit Choudhari
- Department of Radiodiagnosis, Tata Memorial Centre, Tata Memorial Hospital, Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
| | - Vasundhara Patil
- Department of Radiodiagnosis, Tata Memorial Centre, Tata Memorial Hospital, Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
| | - Palak Popat
- Department of Radiodiagnosis, Tata Memorial Centre, Tata Memorial Hospital, Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
| | - Himangi Unde
- Department of Radiodiagnosis, Tata Memorial Centre, Tata Memorial Hospital, Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
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Li H, Shen J, Shou J, Han W, Gong L, Xu Y, Chen P, Wang K, Zhang S, Sun C, Zhang J, Niu Z, Pan H, Cai W, Fang Y. Exploring the Interobserver Agreement in Computer-Aided Radiologic Tumor Measurement and Evaluation of Tumor Response. Front Oncol 2022; 11:691638. [PMID: 35174064 PMCID: PMC8841678 DOI: 10.3389/fonc.2021.691638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 12/31/2021] [Indexed: 12/03/2022] Open
Abstract
The accurate, objective, and reproducible evaluation of tumor response to therapy is indispensable in clinical trials. This study aimed at investigating the reliability and reproducibility of a computer-aided contouring (CAC) tool in tumor measurements and its impact on evaluation of tumor response in terms of RECIST 1.1 criteria. A total of 200 cancer patients were retrospectively collected in this study, which were randomly divided into two sets of 100 patients for experiential learning and testing. A total of 744 target lesions were identified by a senior radiologist in distinctive body parts, of which 278 lesions were in data set 1 (learning set) and 466 lesions were in data set 2 (testing set). Five image analysts were respectively instructed to measure lesion diameter using manual and CAC tools in data set 1 and subsequently tested in data set 2. The interobserver variability of tumor measurements was validated by using the coefficient of variance (CV), the Pearson correlation coefficient (PCC), and the interobserver correlation coefficient (ICC). We verified that the mean CV of manual measurement remained constant between the learning and testing data sets (0.33 vs. 0.32, p = 0.490), whereas it decreased for the CAC measurements after learning (0.24 vs. 0.19, p < 0.001). The interobserver measurements with good agreement (CV < 0.20) were 29.9% (manual) vs. 49.0% (CAC) in the learning set (p < 0.001) and 30.9% (manual) vs. 64.4% (CAC) in the testing set (p < 0.001). The mean PCCs were 0.56 ± 0.11 mm (manual) vs. 0.69 ± 0.10 mm (CAC) in the learning set (p = 0.013) and 0.73 ± 0.07 mm (manual) vs. 0.84 ± 0.03 mm (CAC) in the testing set (p < 0.001). ICCs were 0.633 (manual) vs. 0.698 (CAC) in the learning set (p < 0.001) and 0.716 (manual) vs. 0.824 (CAC) in the testing set (p < 0.001). The Fleiss’ kappa analysis revealed that the overall agreement was 58.7% (manual) vs. 58.9% (CAC) in the learning set and 62.9% (manual) vs. 74.5% (CAC) in the testing set. The 80% agreement of tumor response evaluation was 55.0% (manual) vs. 66.0% in the learning set and 60.6% (manual) vs. 79.7% (CAC) in the testing set. In conclusion, CAC can reduce the interobserver variability of radiological tumor measurements and thus improve the agreement of imaging evaluation of tumor response.
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Affiliation(s)
- Hongsen Li
- Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiaying Shen
- Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiawei Shou
- Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Weidong Han
- Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Liu Gong
- Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yiming Xu
- Quantilogic Healthcare Zhejiang Co. Ltd, Hangzhou, China
| | - Peng Chen
- School of Medical Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Kaixin Wang
- School of Medical Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Shuangfeng Zhang
- School of Medical Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Chao Sun
- School of Medical Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Jie Zhang
- School of Medical Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Zhongfeng Niu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hongming Pan
- Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- *Correspondence: Yong Fang, ; Wenli Cai, ; Hongming Pan,
| | - Wenli Cai
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- *Correspondence: Yong Fang, ; Wenli Cai, ; Hongming Pan,
| | - Yong Fang
- Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- *Correspondence: Yong Fang, ; Wenli Cai, ; Hongming Pan,
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Zhang R, Cai Z, Luo Y, Wang Z, Wang W. Preliminary exploration of response the course of radiotherapy for stage III non-small cell lung cancer based on longitudinal CT radiomics features. Eur J Radiol Open 2022; 9:100391. [PMID: 34977279 PMCID: PMC8688890 DOI: 10.1016/j.ejro.2021.100391] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 10/28/2021] [Accepted: 12/09/2021] [Indexed: 12/24/2022] Open
Abstract
Purpose Explore the longitudinal CT-based radiomics to demonstrate the changing trend of radiotherapy response and to determine at which point after the onset of treatment radiomics exhibit the greatest change for stage III NSCLC patients. Methods and materials Ten stage III NSCLC patients in line with inclusion criteria were enrolled retrospectively, each of whom received radiotherapy or concurrent chemo-radiotherapy and performed eight series of follow-up CT imaging. Longitudinal radiomics were extracted on region of interest from the eight registered images, then two steps were conducted to select significant features as indicators of tumor change: 1) stable features were selected by Kendall rank correlation; 2) texture feature types with a steadily changing trend were retained and intensity features with stable change trends were selected to represent the large number of them. Next, the trend and rate of tumor change were analyzed using the Delta method and Curve-fitting method. Finally, the statistics in the distribution of stable features in patients were calculated. Results 675 stable features were selected from a total number of 1371 radiomics features, then 12 texture features types were retained and three intensity features were chosen to represent their own category. Among the final selected feature types, it was found that the two time points were weeks 1 and 3 with the higher rate of change. One patient had very few stable tumor features out of a total of 101 features, and the rate of change of features of another patient was conspicuously higher than the average level with number of 301 features. Conclusion The longitudinal CT radiomics could demonstrate the change trend of tumor and at which point exhibit the greatest change during radiotherapy, and potentially be used for treatment decisions concerning adaptive radiotherapy.
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Key Words
- CBCT, Cone-beam Computed Tomography
- CT, Computed Tomography
- Computed tomography
- GLCM25/GLCM3, Gray Level Co-occurrence Matrix25/Gray Level Co-occurrence Matrix3
- GLRLM25, Gray Level Run Length Matrix25
- GTV, Gross Tumor Volume
- HU, Hounsfield Units
- IBEX, Imaging Biomarker Explorer
- LASSO, Least Absolute Shrinkage and Selection Operator
- Longitudinal radiomics features
- NID25/NID3, Neighborhood Intensity Difference25/Neighborhood Intensity Difference3
- NSCLC, Non-small cell lung carcinoma
- Non-small cell lung cancer
- PCA, Principle Component Analysis
- ROI, Region of Interest
- Radiation therapy
- VMAT, Volumetric Modulated Arc Therapy
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Affiliation(s)
- Ruiping Zhang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Huanhu West Road, Hexi District, Tianjin 300060, China
| | - Zhengting Cai
- School of Automation (Artificial Intelligence), Hangzhou Dianzi University, Xiasha Higher Education Zone, Hangzhou, Zhejiang Province 310018, China
| | - Yan'an Luo
- Department of Physics, Nankai University, Weijin Road, Nankai District, Tianjin 300071, China
| | - Zhizhen Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Huanhu West Road, Hexi District, Tianjin 300060, China
| | - Wei Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Huanhu West Road, Hexi District, Tianjin 300060, China
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Ak M, Eleneen Y, Ayoub M, Colen RR. Cancer Imaging in Immunotherapy. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1342:431-447. [PMID: 34972979 DOI: 10.1007/978-3-030-79308-1_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Immune therapeutics are revolutionizing cancer treatments. In tandem, new and confounding imaging characteristics have appeared that are distinct from those typically seen with conventional cytotoxic therapies. In fact, only 10% of patients on immunotherapy may show tumor shrinkage, typical of positive responses on conventional therapy. Conversely, those on immune therapies may initially demonstrate a delayed response, transient enlargement followed by tumor shrinkage, stable size, or the appearance of new lesions. Response Evaluation Criteria in Solid Tumors (RECIST) or WHO criteria, developed to identify early effects of cytotoxic agents, may not provide a complete evaluation of new emerging treatment response pattern of immunotherapeutic agents. Therefore, new imaging response criteria, such as the immune-related Response Evaluation Criteria in Solid Tumors (irRECIST), immune Response Evaluation Criteria in Solid Tumors (iRECIST), and immune-related Response Criteria (irRC), are proposed. However, FDA approval of emerging therapies including immunotherapies still relies on the current RECIST criteria. In this chapter, we review the traditional and new imaging response criteria for evaluation of solid tumors and briefly touch on some of the more commonly associated immunotherapy-induced adverse events.
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Affiliation(s)
- Murat Ak
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA.,Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Yousra Eleneen
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA.,Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Mira Ayoub
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA.,Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Rivka R Colen
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA. .,Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
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Ruchalski K, Dewan R, Sai V, McIntosh LJ, Braschi-Amirfarzan M. Imaging response assessment for oncology: An algorithmic approach. Eur J Radiol Open 2022; 9:100426. [PMID: 35693043 PMCID: PMC9184854 DOI: 10.1016/j.ejro.2022.100426] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/17/2022] [Accepted: 05/18/2022] [Indexed: 01/04/2023] Open
Abstract
Treatment response assessment by imaging plays a vital role in evaluating changes in solid tumors during oncology therapeutic clinical trials. Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 is the reference standard imaging response criteria and provides details regarding image acquisition, image interpretation and categorical response classification. While RECIST 1.1 is applied for the majority of clinical trials in solid tumors, other criteria and modifications have been introduced when RECIST 1.1 outcomes may be incomplete. Available criteria beyond RECIST 1.1 can be explored in an algorithmic fashion dependent on imaging modality, tumor type and method of treatment. Positron Emission Tomography Response Criteria in Solid Tumors (PERCIST) is available for use with PET/CT. Modifications to RECIST 1.1 can be tumor specific, including mRECIST for hepatocellular carcinoma and mesothelioma. Choi criteria for gastrointestinal stromal tumors incorporate tumor density with alterations to categorical response thresholds. Prostate Cancer Working Group 3 (PCWG3) imaging criteria combine RECIST 1.1 findings with those of bone scans. In addition, multiple response criteria have been created to address atypical imaging responses in immunotherapy.
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