Abstract 280P
Background
Multiple studies in the past have elaborated the role of different risks stratification scores such as Sokal, Hasford, and Eutos (S.H.E.). These studies either correlated the risk stratification with survival, PFS, CcyR, MMR, or point BCR-ABL at different time intervals post-TKI. However, as we understand, all patients do not have a similar disease burden at the initiation of TKI. Also, using cut off level for different age group, gender, and disease burdens is an oversimplification of the disease remission criteria. There are very few studies on the rate (velocity) of the fall of BCR-ABL. The aim of this study was to compare the efficacy of various prognostic score in predicting the fall in BCR ABL over two years.
Methods
This is a prospective observational study comprising 653 (sample size predicted: 300) patients managed at a tertiary care center in north India based on a uniform treatment and evaluation protocol (Generic Imatinib 400 mg OD and three monthly RQ-PCR-BCR/ABL-IS). Statistics were done using Python-13.
Results
The median age of the study population was 43 years (16-87). On comparing the three risk groups of Sokal, the high-risk patients had the least fall in BCR-ABL at any time point up to 2 years post intiation of TKI. Whereas, there was no difference between low and intermediate risk. The difference in the three groups was not statistically significant. There was also no statistically significant difference in the rate of fall of BCR/ABL in the three risk groups of Hasford. The two risk groups of Eutos score had a significant difference in the rate of fall of BCR/ABL, the high risk having a lower rate in comparison to low risk.
Conclusions
Of the three scoring systems, the EUTOS score outperforms as a prognostic model using rate of fall of BCR-ABL in newly diagnosed CML-CP patients upto two years on Generic Imatinib.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
NA.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
74TiP - Phase I study of BI 836880, a VEGF/Ang2-blocking nanobody®, as monotherapy and in combination with BI 754091, an anti-PD-1 antibody, in Japanese patients (pts) with advanced solid tumours
Presenter: Kentaro Yamazaki
Session: Poster display session
Resources:
Abstract
75P - A parallel deep learning network framework for whole-body bone scan image analysis
Presenter: Xiaorong Pu
Session: Poster display session
Resources:
Abstract
76P - Perception and satisfaction of cancer patients in clinical trials
Presenter: Jukyung Jeon
Session: Poster display session
Resources:
Abstract
77P - A prognostic nomogram for the prediction of neuroblastoma
Presenter: Jian-Guo Zhou
Session: Poster display session
Resources:
Abstract
80P - The clinical usefulness of a new fat-dissociation method to detect lymph nodes from surgically resected specimen in colorectal cancer: Prospective randomized study
Presenter: Shiki Fujino
Session: Poster display session
Resources:
Abstract
81P - Concurrent or consolidation chemotherapy during radiation as neoadjuvant treatment for locally advanced rectal cancer: A propensity score analysis from two prospective study
Presenter: JianWei Zhang
Session: Poster display session
Resources:
Abstract
82P - Body mass index, tumour location, and colorectal cancer survival
Presenter: Dake Chu
Session: Poster display session
Resources:
Abstract
83P - Helicobacter bilis may play a role in the carcinogenesis of colitis associated colon cancer correlating to increased number of CD4+CD45RB+ T cells
Presenter: Xiangsheng Fu
Session: Poster display session
Resources:
Abstract
84P - Comprehensive evaluation of relapse risk (CERR) score for colorectal liver metastases development and validation
Presenter: Jianmin Xu
Session: Poster display session
Resources:
Abstract
85P - Which is the best partner for capecitabine-based neoadjuvant chemoradiotherapy in locally advanced rectal cancer? A retrospective analysis of a comprehensive cancer center
Presenter: Jingwen Wang
Session: Poster display session
Resources:
Abstract