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  1. Article ; Online: Optimizing Lung Cancer Screening With Risk Prediction: Current Challenges and the Emerging Role of Biomarkers.

    Wu, Julie Tsu-Yu / Wakelee, Heather A / Han, Summer S

    Journal of clinical oncology : official journal of the American Society of Clinical Oncology

    2023  Volume 41, Issue 27, Page(s) 4341–4347

    Abstract: The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant literature, and a ... ...

    Abstract The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant literature, and a summary of the authors' suggested management approaches. The goal of this series is to help readers better understand how to apply the results of key studies, including those published in
    MeSH term(s) Humans ; Early Detection of Cancer/methods ; Lung Neoplasms/diagnosis ; Risk Factors ; Risk Assessment ; Biomarkers, Tumor
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2023-08-04
    Publishing country United States
    Document type Review ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 604914-x
    ISSN 1527-7755 ; 0732-183X
    ISSN (online) 1527-7755
    ISSN 0732-183X
    DOI 10.1200/JCO.23.01060
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: ChatGPT: Increasing accessibility for natural language processing in healthcare quality measurement.

    Wu, Julie Tsu-Yu / Shenoy, Erica S / Carey, Evan P / Alterovitz, Gil / Kim, Michael J / Branch-Elliman, Westyn

    Infection control and hospital epidemiology

    2023  Volume 45, Issue 1, Page(s) 9–10

    MeSH term(s) Natural Language Processing ; Quality Assurance, Health Care ; Artificial Intelligence
    Language English
    Publishing date 2023-11-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 639378-0
    ISSN 1559-6834 ; 0195-9417 ; 0899-823X
    ISSN (online) 1559-6834
    ISSN 0195-9417 ; 0899-823X
    DOI 10.1017/ice.2023.236
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Even after SARS-CoV-2 booster, there is increased COVID-19 breakthrough infection in patients with plasma cell disorders.

    Fillmore, Nathanael R / La, Jennifer / Wu, Julie Tsu-Yu / Corrigan, June K / Branch-Elliman, Westyn / Monach, Paul / Brophy, Mary T / Do, Nhan V / Munshi, Nikhil C

    Blood advances

    2023  Volume 7, Issue 21, Page(s) 6767–6770

    MeSH term(s) Humans ; COVID-19 ; SARS-CoV-2 ; Breakthrough Infections ; Plasma Cells ; COVID-19 Vaccines
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2023-08-31
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2915908-8
    ISSN 2473-9537 ; 2473-9529
    ISSN (online) 2473-9537
    ISSN 2473-9529
    DOI 10.1182/bloodadvances.2023011063
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Reply to R. Kebudi et al.

    Tsu-Yu Wu, Julie / Kwon, Daniel H / Glover, Michael / Henry, Solomon / Wood, Douglas / Rubin, Daniel / Koshkin, Vadim / Schapira, Lidia / Shah, Sumit A

    JCO oncology practice

    2021  Volume 17, Issue 6, Page(s) 364

    Language English
    Publishing date 2021-04-21
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 3028198-2
    ISSN 2688-1535 ; 2688-1527
    ISSN (online) 2688-1535
    ISSN 2688-1527
    DOI 10.1200/OP.21.00105
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes.

    Lin, Eric / Zwolinski, Robert / Wu, Julie Tsu-Yu / La, Jennifer / Goryachev, Sergey / Huhmann, Linden / Yildrim, Cenk / Tuck, David P / Elbers, Danne C / Brophy, Mary T / Do, Nhan V / Fillmore, Nathanael R

    Health informatics journal

    2023  Volume 29, Issue 3, Page(s) 14604582231198021

    Abstract: Introduction: ...

    Abstract Introduction:
    MeSH term(s) Humans ; Natural Language Processing ; B7-H1 Antigen ; Medical Records ; Software ; Machine Learning ; Electronic Health Records
    Chemical Substances B7-H1 Antigen
    Language English
    Publishing date 2023-08-27
    Publishing country England
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, Non-U.S. Gov't
    ZDB-ID 2213115-2
    ISSN 1741-2811 ; 1460-4582
    ISSN (online) 1741-2811
    ISSN 1460-4582
    DOI 10.1177/14604582231198021
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Increased COVID-19 breakthrough infection risk in patients with plasma cell disorders.

    La, Jennifer / Wu, Julie Tsu-Yu / Branch-Elliman, Westyn / Huhmann, Linden / Han, Summer S / Brophy, Mary / Do, Nhan V / Lin, Albert Y / Fillmore, Nathanael R / Munshi, Nikhil C

    Blood

    2022  Volume 140, Issue 7, Page(s) 782–785

    MeSH term(s) COVID-19/complications ; COVID-19 Vaccines ; Humans ; Paraproteinemias ; Plasma Cells ; Risk Factors
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2022-06-16
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 80069-7
    ISSN 1528-0020 ; 0006-4971
    ISSN (online) 1528-0020
    ISSN 0006-4971
    DOI 10.1182/blood.2022016317
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Risk factors for immune checkpoint inhibitor-related pneumonitis in non-small cell lung cancer.

    Chao, Yencheng / Zhou, Jiebai / Hsu, Shujung / Ding, Ning / Li, Jiamin / Zhang, Yong / Xu, Xiaobo / Tang, Xinjun / Wei, Tianchang / Zhu, Zhengfei / Chu, Qian / Neal, Joel W / Wu, Julie Tsu-Yu / Song, Yuanlin / Hu, Jie

    Translational lung cancer research

    2022  Volume 11, Issue 2, Page(s) 295–306

    Abstract: Background: Immune checkpoint inhibitors (ICIs) have led to dramatic improvements in survival a subset of patients with non-small cell lung cancer (NSCLC); however, they have been shown to cause life-threatening toxicity such as immune checkpoint ... ...

    Abstract Background: Immune checkpoint inhibitors (ICIs) have led to dramatic improvements in survival a subset of patients with non-small cell lung cancer (NSCLC); however, they have been shown to cause life-threatening toxicity such as immune checkpoint inhibitor-related pneumonitis (CIP). Our previous studies have shown that chronic obstructive pulmonary disease (COPD) and circulating cytokines are associated with clinical outcomes in NSCLC patients receiving ICIs. However, the relationship between these factors and the development of CIP is unclear. In this study, we retrospectively assessed NSCLC patients receiving ICIs to identify CIP risk factors.
    Methods: This retrospective cohort study reviewed medical records of NSCLC patients receiving ICIs targeting programmed cell death 1 (PD-1) or its ligand PD-L1 between March 2017 and December 2020 at Zhongshan Hospital Fudan University. CIP was diagnosed by the treating investigator. Clinical characteristics and baseline plasma cytokines were collected. Logistic regression was used to compare clinical characteristics and circulating cytokine levels between patients with and without CIP to identify CIP risk factors.
    Results: Of 164 NSCLC patients who received ICIs, CIP developed in 20 cases (12.2%). The presence of COPD [odds ratio (OR), 7.194; 95% confidence interval (CI): 1.130 to 45.798; P=0.037] and PD-L1 expression of ≥50% (OR, 7.184; 95% CI: 1.154 to 44.721; P=0.035) were independently associated with a higher incidence of CIP, whereas a higher baseline level of interleukin-8 (IL-8) was associated with a lower incidence of CIP (OR, 0.758; 95% CI: 0.587 to 0.978; P=0.033). The independent risk factors from final multivariate analysis were incorporated into a nomogram to predict the incidence of CIP. The nomogram model receiver operating characteristic (ROC) curve had a good predictive accuracy of 0.883 (95% CI: 0.806 to 0.959).
    Conclusions: Increased risk of CIP independently associated with history of COPD, tumor PD-L1 expression ≥50%, and low baseline IL-8 level. The nomogram may hold promise for CIP risk assessment in the administration of ICIs.
    Language English
    Publishing date 2022-03-01
    Publishing country China
    Document type Journal Article
    ZDB-ID 2754335-3
    ISSN 2226-4477 ; 2218-6751
    ISSN (online) 2226-4477
    ISSN 2218-6751
    DOI 10.21037/tlcr-22-72
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Association of COVID-19 Vaccination With SARS-CoV-2 Infection in Patients With Cancer: A US Nationwide Veterans Affairs Study.

    Wu, Julie Tsu-Yu / La, Jennifer / Branch-Elliman, Westyn / Huhmann, Linden B / Han, Summer S / Parmigiani, Giovanni / Tuck, David P / Brophy, Mary T / Do, Nhan V / Lin, Albert Y / Munshi, Nikhil C / Fillmore, Nathanael R

    JAMA oncology

    2021  Volume 8, Issue 2, Page(s) 281–286

    Abstract: Importance: Patients with cancer are at increased risk for severe COVID-19, but it is unknown whether SARS-CoV-2 vaccination is effective for them.: Objective: To determine the association between SARS-CoV-2 vaccination and SARS-CoV-2 infections ... ...

    Abstract Importance: Patients with cancer are at increased risk for severe COVID-19, but it is unknown whether SARS-CoV-2 vaccination is effective for them.
    Objective: To determine the association between SARS-CoV-2 vaccination and SARS-CoV-2 infections among a population of Veterans Affairs (VA) patients with cancer.
    Design, setting, and participants: Retrospective, multicenter, nationwide cohort study of SARS-CoV-2 vaccination and infection among patients in the VA health care system from December 15, 2020, to May 4, 2021. All adults with solid tumors or hematologic cancer who received systemic cancer-directed therapy from August 15, 2010, to May 4, 2021, and were alive and without a documented SARS-CoV-2 positive result as of December 15, 2020, were eligible for inclusion. Each day between December 15, 2020, and May 4, 2021, newly vaccinated patients were matched 1:1 with unvaccinated or not yet vaccinated controls based on age, race and ethnicity, VA facility, rurality of home address, cancer type, and treatment type/timing.
    Exposures: Receipt of a SARS-CoV-2 vaccine.
    Main outcomes and measures: The primary outcome was documented SARS-CoV-2 infection. A proxy for vaccine effectiveness was defined as 1 minus the risk ratio of SARS-CoV-2 infection for vaccinated individuals compared with unvaccinated controls.
    Results: A total of 184 485 patients met eligibility criteria, and 113 796 were vaccinated. Of these, 29 152 vaccinated patients (median [IQR] age, 74.1 [70.2-79.3] years; 95% were men; 71% were non-Hispanic White individuals) were matched 1:1 to unvaccinated or not yet vaccinated controls. As of a median 47 days of follow-up, 436 SARS-CoV-2 infections were detected in the matched cohort (161 infections in vaccinated patients vs 275 in unvaccinated patients). There were 17 COVID-19-related deaths in the vaccinated group vs 27 COVID-19-related deaths in the unvaccinated group. Overall vaccine effectiveness in the matched cohort was 58% (95% CI, 39% to 72%) starting 14 days after the second dose. Patients who received chemotherapy within 3 months prior to the first vaccination dose were estimated to have a vaccine effectiveness of 57% (95% CI, -23% to 90%) starting 14 days after the second dose vs 76% (95% CI, 50% to 91%) for those receiving endocrine therapy and 85% (95% CI, 29% to 100%) for those who had not received systemic therapy for at least 6 months prior.
    Conclusions and relevance: In this cohort study, COVID-19 vaccination was associated with lower SARS-CoV-2 infection rates in patients with cancer. Some immunosuppressed subgroups may remain at early risk for COVID-19 despite vaccination, and consideration should be given to additional risk reduction strategies, such as serologic testing for vaccine response and a third vaccine dose to optimize outcomes.
    MeSH term(s) Adult ; Aged ; COVID-19 ; COVID-19 Vaccines ; Cohort Studies ; Humans ; Male ; Neoplasms ; Retrospective Studies ; SARS-CoV-2 ; Vaccination ; Veterans
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2021-12-02
    Publishing country United States
    Document type Journal Article ; Multicenter Study ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ISSN 2374-2445
    ISSN (online) 2374-2445
    DOI 10.1001/jamaoncol.2021.5771
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Changes in Cancer Management due to COVID-19 Illness in Patients with Cancer in Northern California.

    Wu, Julie Tsu-Yu / Kwon, Daniel H / Glover, Michael J / Henry, Solomon / Wood, Douglas / Rubin, Daniel L / Koshkin, Vadim S / Schapira, Lidia / Shah, Sumit A

    JCO oncology practice

    2020  Volume 17, Issue 3, Page(s) e377–e385

    Abstract: Purpose: The response to the COVID-19 pandemic has affected the management of patients with cancer. In this pooled retrospective analysis, we describe changes in management patterns for patients with cancer diagnosed with COVID-19 in two academic ... ...

    Abstract Purpose: The response to the COVID-19 pandemic has affected the management of patients with cancer. In this pooled retrospective analysis, we describe changes in management patterns for patients with cancer diagnosed with COVID-19 in two academic institutions in the San Francisco Bay Area.
    Materials and methods: Adult and pediatric patients diagnosed with COVID-19 with a current or historical diagnosis of malignancy were identified from the electronic medical record at the University of California, San Francisco, and Stanford University. The proportion of patients undergoing active cancer management whose care was affected was quantified and analyzed for significant differences with regard to management type, treatment intent, and the time of COVID-19 diagnosis. The duration and characteristics of such changes were compared across subgroups.
    Results: A total of 131 patients were included, of whom 55 were undergoing active cancer management. Of these, 35 of 55 (64%) had significant changes in management that consisted primarily of delays. An additional three patients not undergoing active cancer management experienced a delay in management after being diagnosed with COVID-19. The decision to change management was correlated with the time of COVID-19 diagnosis, with more delays identified in patients treated with palliative intent earlier in the course of the pandemic (March/April 2020) compared with later (May/June 2020) (OR, 4.2; 95% CI, 1.03 to 17.3;
    Conclusion: We found significant changes in the management of cancer patients with COVID-19 treated with curative and palliative intent that evolved over time. Future studies are needed to determine the impact of changes in management and treatment on cancer outcomes for patients with cancer and COVID-19.
    MeSH term(s) Administration, Oral ; Adolescent ; Adult ; Aged ; Aged, 80 and over ; Antineoplastic Agents/administration & dosage ; Antineoplastic Agents/therapeutic use ; COVID-19/complications ; COVID-19/therapy ; California ; Child ; Child, Preschool ; Female ; Humans ; Infusions, Intravenous ; Injections, Intramuscular ; Male ; Middle Aged ; Neoplasms/complications ; Neoplasms/diagnosis ; Neoplasms/therapy ; Palliative Care ; Radiotherapy/statistics & numerical data ; Retrospective Studies ; SARS-CoV-2 ; Surgical Procedures, Operative/statistics & numerical data ; Time Factors ; Time-to-Treatment/statistics & numerical data ; Young Adult
    Chemical Substances Antineoplastic Agents
    Language English
    Publishing date 2020-12-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3028198-2
    ISSN 2688-1535 ; 2688-1527
    ISSN (online) 2688-1535
    ISSN 2688-1527
    DOI 10.1200/OP.20.00790
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Coinfections in Patients With Cancer and COVID-19: A COVID-19 and Cancer Consortium (CCC19) Study.

    Satyanarayana, Gowri / Enriquez, Kyle T / Sun, Tianyi / Klein, Elizabeth J / Abidi, Maheen / Advani, Shailesh M / Awosika, Joy / Bakouny, Ziad / Bashir, Babar / Berg, Stephanie / Bernardes, Marilia / Egan, Pamela C / Elkrief, Arielle / Feldman, Lawrence E / Friese, Christopher R / Goel, Shipra / Gomez, Cyndi Gonzalez / Grant, Keith L / Griffiths, Elizabeth A /
    Gulati, Shuchi / Gupta, Shilpa / Hwang, Clara / Jain, Jayanshu / Jani, Chinmay / Kaltsas, Anna / Kasi, Anup / Khan, Hina / Knox, Natalie / Koshkin, Vadim S / Kwon, Daniel H / Labaki, Chris / Lyman, Gary H / McKay, Rana R / McNair, Christopher / Nagaraj, Gayathri / Nakasone, Elizabeth S / Nguyen, Ryan / Nonato, Taylor K / Olszewski, Adam J / Panagiotou, Orestis A / Puc, Matthew / Razavi, Pedram / Robilotti, Elizabeth V / Santos-Dutra, Miriam / Schmidt, Andrew L / Shah, Dimpy P / Shah, Sumit A / Vieira, Kendra / Weissmann, Lisa B / Wise-Draper, Trisha M / Wu, Ulysses / Wu, Julie Tsu-Yu / Choueiri, Toni K / Mishra, Sanjay / Warner, Jeremy L / French, Benjamin / Farmakiotis, Dimitrios

    Open forum infectious diseases

    2022  Volume 9, Issue 3, Page(s) ofac037

    Abstract: Background: The frequency of coinfections and their association with outcomes have not been adequately studied among patients with cancer and coronavirus disease 2019 (COVID-19), a high-risk group for coinfection.: Methods: We included adult (≥18 ... ...

    Abstract Background: The frequency of coinfections and their association with outcomes have not been adequately studied among patients with cancer and coronavirus disease 2019 (COVID-19), a high-risk group for coinfection.
    Methods: We included adult (≥18 years) patients with active or prior hematologic or invasive solid malignancies and laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) infection, using data from the COVID-19 and Cancer Consortium (CCC19, NCT04354701). We captured coinfections within ±2 weeks from diagnosis of COVID-19, identified factors cross-sectionally associated with risk of coinfection, and quantified the association of coinfections with 30-day mortality.
    Results: Among 8765 patients (hospitalized or not; median age, 65 years; 47.4% male), 16.6% developed coinfections: 12.1% bacterial, 2.1% viral, 0.9% fungal. An additional 6.4% only had clinical diagnosis of a coinfection. The adjusted risk of any coinfection was positively associated with age >50 years, male sex, cardiovascular, pulmonary, and renal comorbidities, diabetes, hematologic malignancy, multiple malignancies, Eastern Cooperative Oncology Group Performance Status, progressing cancer, recent cytotoxic chemotherapy, and baseline corticosteroids; the adjusted risk of superinfection was positively associated with tocilizumab administration. Among hospitalized patients, high neutrophil count and C-reactive protein were positively associated with bacterial coinfection risk, and high or low neutrophil count with fungal coinfection risk. Adjusted mortality rates were significantly higher among patients with bacterial (odds ratio [OR], 1.61; 95% CI, 1.33-1.95) and fungal (OR, 2.20; 95% CI, 1.28-3.76) coinfections.
    Conclusions: Viral and fungal coinfections are infrequent among patients with cancer and COVID-19, with the latter associated with very high mortality rates. Clinical and laboratory parameters can be used to guide early empiric antimicrobial therapy, which may improve clinical outcomes.
    Language English
    Publishing date 2022-02-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2757767-3
    ISSN 2328-8957
    ISSN 2328-8957
    DOI 10.1093/ofid/ofac037
    Database MEDical Literature Analysis and Retrieval System OnLINE

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