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Fein JA, Patel SS. Under AI's lens: spotting mutations visually. Blood Adv 2024; 8:827-828. [PMID: 38349670 PMCID: PMC11066376 DOI: 10.1182/bloodadvances.2023012196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2024] Open
Affiliation(s)
- Joshua A Fein
- Department of Hematology and Medical Oncology, Weill Cornell Medicine/New York Presbyterian Hospital, New York, NY
| | - Sanjay S Patel
- Division of Hematopathology, Department of Pathology and Laboratory Medicine, Weill Cornell Medicine/New York Presbyterian Hospital, New York, NY
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2
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Berger A, Rennie S, Aijaz J, Johnson LM, Antillon F, Roberts MC, Chitsike I, Kambugu J, Saha V, Bhakta N, Davis AM, Alexander TB. The role of relative advantage for development of sequencing-based diagnostics for pediatric cancer in low- and middle-income countries. Cancer 2024; 130:173-178. [PMID: 37843081 DOI: 10.1002/cncr.35065] [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: 10/17/2023]
Abstract
Efforts to address limitations in cancer diagnostics in low‐ and middle‐income countries should follow an approach that avoids two extremes: unproductive attempts to require implementation of high‐income country gold standards or acquiescence to the diagnostic status quo. The relative advantage of implementing new diagnostic tests (including sequencing‐based approaches) should be determined through comparison to local standards of care, with context‐specific clinical utility determined using locally available therapeutic options.
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Affiliation(s)
- Anissa Berger
- Department of Social Medicine, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Stuart Rennie
- Department of Social Medicine, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Javeria Aijaz
- Department of Pathology, Indus Health and Hospital Network, Karachi, Pakistan
| | - Liza-Marie Johnson
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | | | - Megan C Roberts
- Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina, USA
| | | | | | - Vaskar Saha
- Tata Translational Cancer Research Center, Kolkata, India
| | - Nickhill Bhakta
- Department of Global Pediatric Medicine, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Arlene M Davis
- Department of Social Medicine, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Thomas B Alexander
- Department of Pediatrics, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, North Carolina, USA
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Pulumati A, Pulumati A, Dwarakanath BS, Verma A, Papineni RVL. Technological advancements in cancer diagnostics: Improvements and limitations. Cancer Rep (Hoboken) 2023; 6:e1764. [PMID: 36607830 PMCID: PMC9940009 DOI: 10.1002/cnr2.1764] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 10/20/2022] [Accepted: 11/27/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Cancer is characterized by the rampant proliferation, growth, and infiltration of malignantly transformed cancer cells past their normal boundaries into adjacent tissues. It is the leading cause of death worldwide, responsible for approximately 19.3 million new diagnoses and 10 million deaths globally in 2020. In the United States alone, the estimated number of new diagnoses and deaths is 1.9 million and 609 360, respectively. Implementation of currently existing cancer diagnostic techniques such as positron emission tomography (PET), X-ray computed tomography (CT), and magnetic resonance spectroscopy (MRS), and molecular diagnostic techniques, have enabled early detection rates and are instrumental not only for the therapeutic management of cancer patients, but also for early detection of the cancer itself. The effectiveness of these cancer screening programs are heavily dependent on the rate of accurate precursor lesion identification; an increased rate of identification allows for earlier onset treatment, thus decreasing the incidence of invasive cancer in the long-term, and improving the overall prognosis. Although these diagnostic techniques are advantageous due to lack of invasiveness and easier accessibility within the clinical setting, several limitations such as optimal target definition, high signal to background ratio and associated artifacts hinder the accurate diagnosis of specific types of deep-seated tumors, besides associated high cost. In this review we discuss various imaging, molecular, and low-cost diagnostic tools and related technological advancements, to provide a better understanding of cancer diagnostics, unraveling new opportunities for effective management of cancer, particularly in low- and middle-income countries (LMICs). RECENT FINDINGS Herein we discuss various technological advancements that are being utilized to construct an assortment of new diagnostic techniques that incorporate hardware, image reconstruction software, imaging devices, biomarkers, and even artificial intelligence algorithms, thereby providing a reliable diagnosis and analysis of the tumor. Also, we provide a brief account of alternative low cost-effective cancer therapy devices (CryoPop®, LumaGEM®, MarginProbe®) and picture archiving and communication systems (PACS), emphasizing the need for multi-disciplinary collaboration among radiologists, pathologists, and other involved specialties for improving cancer diagnostics. CONCLUSION Revolutionary technological advancements in cancer imaging and molecular biology techniques are indispensable for the accurate diagnosis and prognosis of cancer.
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Affiliation(s)
- Akhil Pulumati
- University of Missouri‐Kansas CityKansas CityMissouriUSA
| | - Anika Pulumati
- University of Missouri‐Kansas CityKansas CityMissouriUSA
| | - Bilikere S. Dwarakanath
- Central Research FacilitySri Ramachandra Institute of Higher Education and Research PorurChennaiIndia
- Department of BiotechnologyIndian Academy Degree CollegeBangaloreIndia
| | | | - Rao V. L. Papineni
- PACT & Health LLCBranfordConnecticutUSA
- Department of SurgeryUniversity of Kansas Medical CenterKansas CityKansasUSA
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Istasy P, Lee WS, Iansavichene A, Upshur R, Gyawali B, Burkell J, Sadikovic B, Lazo-Langner A, Chin-Yee B. The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review. J Med Internet Res 2022; 24:e39748. [PMID: 36005841 PMCID: PMC9667381 DOI: 10.2196/39748] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 08/11/2022] [Accepted: 08/24/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The field of oncology is at the forefront of advances in artificial intelligence (AI) in health care, providing an opportunity to examine the early integration of these technologies in clinical research and patient care. Hope that AI will revolutionize health care delivery and improve clinical outcomes has been accompanied by concerns about the impact of these technologies on health equity. OBJECTIVE We aimed to conduct a scoping review of the literature to address the question, "What are the current and potential impacts of AI technologies on health equity in oncology?" METHODS Following PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines for scoping reviews, we systematically searched MEDLINE and Embase electronic databases from January 2000 to August 2021 for records engaging with key concepts of AI, health equity, and oncology. We included all English-language articles that engaged with the 3 key concepts. Articles were analyzed qualitatively for themes pertaining to the influence of AI on health equity in oncology. RESULTS Of the 14,011 records, 133 (0.95%) identified from our review were included. We identified 3 general themes in the literature: the use of AI to reduce health care disparities (58/133, 43.6%), concerns surrounding AI technologies and bias (16/133, 12.1%), and the use of AI to examine biological and social determinants of health (55/133, 41.4%). A total of 3% (4/133) of articles focused on many of these themes. CONCLUSIONS Our scoping review revealed 3 main themes on the impact of AI on health equity in oncology, which relate to AI's ability to help address health disparities, its potential to mitigate or exacerbate bias, and its capability to help elucidate determinants of health. Gaps in the literature included a lack of discussion of ethical challenges with the application of AI technologies in low- and middle-income countries, lack of discussion of problems of bias in AI algorithms, and a lack of justification for the use of AI technologies over traditional statistical methods to address specific research questions in oncology. Our review highlights a need to address these gaps to ensure a more equitable integration of AI in cancer research and clinical practice. The limitations of our study include its exploratory nature, its focus on oncology as opposed to all health care sectors, and its analysis of solely English-language articles.
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Affiliation(s)
- Paul Istasy
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Rotman Institute of Philosophy, Western University, London, ON, Canada
| | - Wen Shen Lee
- Department of Pathology & Laboratory Medicine, Schulich School of Medicine, Western University, London, ON, Canada
| | | | - Ross Upshur
- Division of Clinical Public Health, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Bridgepoint Collaboratory for Research and Innovation, Lunenfeld Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Bishal Gyawali
- Division of Cancer Care and Epidemiology, Department of Oncology, Queen's University, Kingston, ON, Canada
- Division of Cancer Care and Epidemiology, Department of Public Health Sciences, Queen's University, Kingston, ON, Canada
| | - Jacquelyn Burkell
- Faculty of Information and Media Studies, Western University, London, ON, Canada
| | - Bekim Sadikovic
- Department of Pathology & Laboratory Medicine, Schulich School of Medicine, Western University, London, ON, Canada
| | - Alejandro Lazo-Langner
- Division of Hematology, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Benjamin Chin-Yee
- Rotman Institute of Philosophy, Western University, London, ON, Canada
- Division of Hematology, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Division of Hematology, Department of Medicine, London Health Sciences Centre, London, ON, Canada
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Erfani P, Bates M, Garcia-Gonzalez P, Milner DA, Rebbeck TR, Ruhangaza D, Shulman LN, Fadelu T. Leveraging Molecular Diagnostic Technologies to Close the Global Cancer Pathology Gap. JCO Glob Oncol 2022; 8:e2200182. [PMID: 36252158 PMCID: PMC9812500 DOI: 10.1200/go.22.00182] [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] [Indexed: 11/06/2022] Open
Abstract
Integrating context-appropriate molecular diagnostics into LMIC cancer programs is essential to reduce inequities.![]()
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Affiliation(s)
| | - Michael Bates
- Medical and Scientific Affairs, Oncology, Cepheid, Sunnyvale, CA
| | | | - Dan A. Milner
- American Society for Clinical Pathology, Chicago, IL,Harvard TH Chan School of Public Health, Boston, MA
| | | | | | | | - Temidayo Fadelu
- Harvard Medical School, Boston, MA,Dana-Farber Cancer Institute, Boston, MA,Temidayo Fadelu, MD, MPH, Dana‐Farber Cancer Institute, 450 Brookline Ave, MA-1B-17, Boston, MA 02215; Twitter: @temidayo; e-mail:
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Lurain K, Uldrick TS, Navarro JT. Leveraging fine-needle aspiration to improve HIV-associated lymphoma diagnostic capacity in resource-limited settings. AIDS 2022; 36:1461-1463. [PMID: 35876705 PMCID: PMC9326847 DOI: 10.1097/qad.0000000000003293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Kathryn Lurain
- HIV & AIDS Malignancy Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - José-Tomás Navarro
- Department of Hematology-Laboratory of the Catalan Institute of Oncology at Germans Trias i Pujol Hospital, Badalona, Spain
- Josep Carreras Leukaemia Research Institute
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7
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Wang J, Bhakta N, Ayer Miller V, Revsine M, Litzow MR, Paietta E, Fedoriw Y, Roberts KG, Gu Z, Mullighan CG, Jones CD, Alexander TB. Acute Leukemia Classification Using Transcriptional Profiles From Low-Cost Nanopore mRNA Sequencing. JCO Precis Oncol 2022; 6:e2100326. [PMID: 35442720 PMCID: PMC9200386 DOI: 10.1200/po.21.00326] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
PURPOSE Most cases of pediatric acute leukemia occur in low- and middle-income countries, where health centers lack the tools required for accurate diagnosis and disease classification. Recent research shows the robustness of using unbiased short-read RNA sequencing to classify genomic subtypes of acute leukemia. Compared with short-read sequencing, nanopore sequencing has low capital and consumable costs, making it suitable for use in locations with limited health infrastructure. MATERIALS AND METHODS We show the feasibility of nanopore mRNA sequencing on 134 cryopreserved acute leukemia specimens (26 acute myeloid leukemia [AML], 73 B-lineage acute lymphoblastic leukemia [B-ALL], 34 T-lineage acute lymphoblastic leukemia, and one acute undifferentiated leukemia). Using multiple library preparation approaches, we generated long-read transcripts for each sample. We developed a novel composite classification approach to predict acute leukemia lineage and major B-ALL and AML molecular subtypes directly from gene expression profiles. RESULTS We demonstrate accurate classification of acute leukemia samples into AML, B-ALL, or T-lineage acute lymphoblastic leukemia (96.2% of cases are classifiable with a probability of > 0.8, with 100% accuracy) and further classification into clinically actionable genomic subtypes using shallow RNA nanopore sequencing, with 96.2% accuracy for major AML subtypes and 94.1% accuracy for major B-lineage acute lymphoblastic leukemia subtypes. CONCLUSION Transcriptional profiling of acute leukemia samples using nanopore technology for diagnostic classification is feasible and accurate, which has the potential to improve the accuracy of cancer diagnosis in low-resource settings.
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Affiliation(s)
- Jeremy Wang
- Department of Genetics, University of North Carolina, Chapel Hill, NC
| | - Nickhill Bhakta
- Department of Global Pediatric Medicine, St Jude Children's Research Hospital, Memphis, TN
| | - Vanessa Ayer Miller
- Office of Clinical Translational Research, University of North Carolina, Chapel Hill, NC
| | - Mahler Revsine
- Department of Biology, University of North Carolina, Chapel Hill, NC
| | - Mark R. Litzow
- Division of Hematology and Transplant Center, Mayo Clinic Rochester, Rochester, MN
| | | | - Yuri Fedoriw
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC
| | - Kathryn G. Roberts
- Department of Pathology, St Jude Children's Research Hospital, Memphis, TN
| | - Zhaohui Gu
- Department of Computational and Quantitative Medicine & Systems Biology, Beckman Research Institute of City of Hope, Duarte, CA
| | | | - Corbin D. Jones
- Department of Biology, University of North Carolina, Chapel Hill, NC
| | - Thomas B. Alexander
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC,Department of Pediatrics, University of North Carolina, Chapel Hill, NC,Thomas B. Alexander, MD, MPH, Department of Pediatrics and Department of Pathology and Laboratory Medicine, University of North Carolina Chapel Hill, 170 Manning Dr, 1185A Houpt Building, CB#7236, Chapel Hill, NC 27599;e-mail:
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Radich JP, Briercheck E, Chiu DT, Menon MP, Sala Torra O, Yeung CCS, Warren EH. Precision Medicine in Low- and Middle-Income Countries. ANNUAL REVIEW OF PATHOLOGY 2022; 17:387-402. [PMID: 35073168 PMCID: PMC9275191 DOI: 10.1146/annurev-pathol-042320-034052] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Most cancer cases occur in low- and middle-income countries (LMICs). The sophisticated technical and human infrastructure needed for optimal diagnosis, treatment, and monitoring of cancers is difficult enough in affluent countries; it is especially challenging in LMICs. In Western, educated, industrial, rich, democratic countries, there is a growing emphasis on and success with precision medicine, whereby targeted therapy is directed at cancers based on the specific genetic lesions in the cancer. Can such precision approaches be delivered in LMICs? We offer some examples of novel partnerships and creative solutions that suggest that precision medicine may be possible in LMICs given heavy doses of will, creativity, and persistence and a little luck.
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Affiliation(s)
- Jerald P Radich
- Global Oncology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA;
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Edward Briercheck
- Global Oncology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA;
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Daniel T Chiu
- Departments of Chemistry and Bioengineering, University of Washington, Seattle, WA 98195, USA
| | - Manoj P Menon
- Global Oncology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA;
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- School of Medicine, University of Washington, Seattle, WA 98195, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Olga Sala Torra
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Cecilia C S Yeung
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Edus H Warren
- Global Oncology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA;
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- School of Medicine, University of Washington, Seattle, WA 98195, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
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