Eliza Chung

Ms. Eliza Chung

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 February 2023 in Clinical Lymphoma Myeloma and Leukemia
Verified
Journal Article
Closed access
ZGZhong Goh
Zhong Goh
MLMaya Latimer
Maya Latimer
KLKatharine L. Lewis
Katharine L. Lewis
CCChan Y. Cheah
Chan Y. Cheah
PCPietro Di Ciaccio
Pietro Di Ciaccio
TCTara Cochrane
Tara Cochrane

2 May 2025 in Blood Advances
Verified
Journal Article
Open access
LWLuke Wang
Luke Wang
ECEliza Chung
Eliza Chung
CWCameron Wellard
Cameron Wellard
ABAllison Barraclough
Allison Barraclough
BCBelinda Campbell
Belinda Campbell
EHEliza Hawkes
Eliza Hawkes
Tumor “bulk” has historically been considered an important prognostic marker and a clinical tool to guide treatment in patients with lymphoma. However, its use and definitions in trial designs vary significantly, and it is unclear how this has influenced the relevance of bulk in contemporary practice. This comprehensive literature review evaluated the definitions, applications, and prognostic impact of bulk in phase 3 randomized trials in 4 major lymphoma subtypes. Overall, 87 studies were identified across follicular lymphoma (FL), diffuse large B-cell lymphoma (DLBCL), peripheral T-cell lymphoma (PTCL), and Hodgkin lymphoma (HL) with a wide range of bulk thresholds used (5 cm, 6 cm, 7 cm, 7.5 cm, 10 cm, and >1/3 mediastinal mass ratio [MMR]). The most common threshold was as follows: FL, 7 cm (58%); DLBCL, 7.5 cm and 10 cm (44% each); PTCL, 7.5 cm (66%); and HL, one-third MMR (91%). Bulk threshold was used by trials to determine eligibility (66%), stratification (24%), as a prognostic risk factor (37%), and as a decision tool for risk-adapted treatment, for example, radiotherapy (29%); however, bulk definitions used for these varied both between, and within, lymphoma subtypes and even within single trials in 25%. Furthermore, 32 studies incorporated bulk in prognostic analyses with only 5 showing significance for differential survival outcomes. Our analysis demonstrates high inconsistency in thresholds defining tumor bulk and use of bulk in phase 3 lymphoma trials across eligibility, stratification, therapeutic risk adaptation, and prognostication. This highlights an urgent need for international consensus on definitions of bulk within trials to improve its prognostic and predictive values and refine its application in clinical practice.

23 February 2024 in eJHaem
Verified
Journal Article
Open access
BSBriony Shaw
Briony Shaw
ECEliza Chung
Eliza Chung
CWCameron Wellard
Cameron Wellard
EYEdward Yoo
Edward Yoo
RBRory Bennett
Rory Bennett
EHEliza Hawkes
Eliza Hawkes
Polatuzumab vedotin (Pola) is an approved therapy in combination with rituximab and bendamustine for relapsed or refractory diffuse large B-cell lymphoma (RR-DLBCL) based on positive results of the landmark phase II randomised G029365 trial. However, trial results for many approved novel therapies in RR-DLBCL have not been replicated in routine care cohorts, as RR-DLBCL patient populations are heterogeneous and trial eligibility is increasingly restrictive. We evaluated outcomes from pola +/- bendamustine and rituximab in patients with RR-DLBCL enrolled in a compassionate access program with no alternative treatment options identified via the Australasian Lymphoma and Related Diseases Registry according to their eligibility for the original phase II published study. Of 58 eligible patients, 74% met the criteria deeming them ineligible for the G029365 original study at the time of pola's commencement. Median progression-free survival and overall survival in our cohort were 2.3 and 3.5 months, respectively. In contrast to the landmark trial cohort, more of our patients ceased therapy prior to completion, the majority due to progressive disease and only 8/58 received any subsequent treatment. Dismal outcomes in this Australian real-world population demonstrate trial eligibility is challenging to meet, and newer treatments can be difficult to deliver in routine care. Clinically applicable results from therapeutic studies require trial cohorts to reflect representative clinical populations wherever possible, and more research is required to address the benefit of novel agents in the increasing majority who are ineligible for modern studies.

26 June 2025 in Health Information Management Journal
Verified
Journal Article
Open access
SASusannah Ahern
Susannah Ahern
MHMohammad Amin Honardoost
Mohammad Amin Honardoost
AKAruna Kartik
Aruna Kartik
ECEliza Chung
Eliza Chung
LDLachlan L. Dalli
Lachlan L. Dalli
SMStephen McDonald
Stephen McDonald
Background: Clinical registries are long-term observational data collections relating to specific medical conditions, procedures, devices or health services. Objective: To assess current characteristics and outputs of clinical registries in Australia. Method: A cross-sectional survey design of Australian clinical registries listed on the Australian Commission on Safety and Quality in Health Care (ACSQHC) register as of 21 September 2023. Results: Of 107 clinical registries on the ACSQHC register that were contacted, 64 (60%) participated in the survey. Of these, 37 (58%) had been active for ⩾10 years, 38 (59%) were medical clinical registries and 35 (57%) received government funding. Clinical registry activities included research (92%), quality improvement (81%) and epidemiological monitoring (68%). Data were commonly patient-identifiable (64%) and collected by clinicians/staff (81%). A majority (55%) had real-time data available to contributing hospitals. Clinical registry outputs included providing data to researchers (97%), publications (83%), annual reports (69%) and site benchmarked reports (64%). Over half informed quality improvement activities (60%), monitored adherence to guidelines (59%) or informed policy or service planning (52%). Nearly half-supported clinical trials (49%), while one-fifth had integrated with government data frameworks. Conclusion: Australian clinical registries monitor health system performance across a breadth of clinical areas. A majority undertake regular public and hospital reporting and inform other quality improvement activities. Implications for health information management practice: Clinical registries interact with hospitals regarding their data collection and reporting activities. Health information management specialists have an important role in maximising registry data quality and therefore value to a wide variety of stakeholders.

30 January 2025 in eJHaem
Verified
Journal Article
Open access
EWEvangeline Y. Wong
Evangeline Y. Wong
CWCameron Wellard
Cameron Wellard
JNJun Yen Ng
Jun Yen Ng
ECEliza Chung
Eliza Chung
ZMZoe K. McQuilten
Zoe K. McQuilten
DTDipti Talaulikar
Dipti Talaulikar
Introduction: Lymphoma is a common malignancy among adolescents and young adults (AYAs) which is generally defined as 15–39 years. Relative to other age groups, lymphoma in AYAs remains understudied with heterogeneous treatment options.Methods: We performed a retrospective review of patients aged 18–60 years in the Australasian Lymphoma and Related Diseases Registry (LaRDR) with new diagnoses of the common subtypes of lymphoma in AYAs between January 2016 and April 2023. The subtypes are classic Hodgkin lymphoma (cHL), diffuse large B‐cell lymphoma (DLBCL), primary mediastinal B‐cell lymphoma (PMBCL) and Burkitt lymphoma (BL). Patient demographics, disease characteristics, treatment and outcome data were collected, and comparisons were made between AYAs (18–39 years) and older adults (OAs) (aged 40–60).Results: AYAs had higher rates of cHL and PMBCL whereas OAs presented more frequently with DLBCL. AYAs with cHL and PMBCL had higher rates of early‐stage and low‐risk disease than OAs. In contrast, both AYAs and OAs were more likely to present with advanced‐stage DLBCL and BL. AYAs with cHL were more likely to be treated with BEACOPP as compared to OAs who were more commonly treated with ABVD. There was no significant difference in treatment regimens for DLBCL, PMBCL or BL between AYAs and OAs. AYAs with cHL had better overall survival (OS) compared to OAs; specifically, cHL AYAs had better OS and DLBCL AYAs had better progression‐free survival (PFS) and OS compared to OAs.Conclusion: The study provides valuable data on patient and disease characteristics, treatments used and outcomes in AYA compared to OA aged 40–60 years. Registry data such as from LaRDR can help improve treatment standardisation and AYA patient outcomes.Trial Registration: The authors have confirmed clinical trial registration is not needed for this submission

18 August 2026 in European Journal of Haematology
Verified
Journal Article
Closed access
PDF file
YYYao Yao
Yao Yao
SSSerif Sungur
Serif Sungur
CWCameron Wellard
Cameron Wellard
ECEliza Chung
Eliza Chung
SMSusan Morgan
Susan Morgan
TATasman Armytage
Tasman Armytage