Hai lun Xie

Dr. Hai lun Xie

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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1 August 2019 in Cancer Management and Research
Verified
Journal Article
Open access
PDF file
HXHai lun Xie
Hai lun Xie
YGYi-Zhen Gong
Yi-Zhen Gong
JKJia-An Kuang
Jia-An Kuang
FGFeng Gao
Feng Gao
STShuang-Yi Tang
Shuang-Yi Tang
JGJialiang Gan
Jialiang Gan
Purpose: This study aimed to assess the prognostic value of the postoperative serum carcinoembryonic antigen (CEA) levels/preoperative serum CEA levels ratio (CEA ratio) in colorectal cancer (CRC) patients with high preoperative serum CEA levels and to identify the optimal prognostic cutoff value. Patients and methods: The medical records of 187 CRC patients in a single center who underwent surgery between September 2012 and September 2014 were retrospectively reviewed. CEA ratio was defined as the ratio between the postoperative serum CEA and preoperative serum CEA. The optimal cutoff values for the CEA ratio were determined by time-dependent receiver operating characteristic (ROC) curve analyses. The Chi-square test or Fisher’s exact probability test were used to test the correlation between CEA ratio and clinicopathological characteristics. Univariate, multivariate, and subgroup Cox proportional hazards analysis were used to identify independent prognostic factors. Kaplan–Meier method was used for establishing survival curves. Results: The median follow-up time was 62 months (range 3–88 months). The optimal CEA ratio cutoff value closely related to disease-free survival was 0.295. In the Chi-square test, the CEA ratio was associated with pN stage (p=0.003) and postoperative CEA (p<0.001). In the multivariate analysis, the CEA ratio was an independent prognostic factor for disease-free survival (p=0.003, HR 2.300 [95% CI: 1.326–3.988]) and cancer-special survival (p=0.003, HR 2.525 [95% CI: 1.381–4.614]). The CEA ratio reflected the prognosis of CRC patients more accurately than postoperative CEA levels alone, and the CEA ratio of 0.295 was more likely to reflect the prognosis than other cutoff values. Conclusion: The CEA ratio is a simple and useful tool for further forecasting the prognosis of CRC patients with high preoperative CEA levels and may help develop strategies for the postoperative treatment of CRC patients.

8 October 2020 in PeerJ
Verified
Journal Article
Open access
PDF file
HXHai lun Xie
Hai lun Xie
SHShizhen Huang
Shizhen Huang
GYGuanghui Yuan
Guanghui Yuan
JKJiaan Kuang
Jiaan Kuang
YLYan Ling
Yan Ling
JGJialiang Gan
Jialiang Gan
Background and Purpose: Several studies have proposed that the advanced lung cancer inflammation index (ALI), a new inflammation-related index, can be used for the prognosis assessment of various malignancies. However, few studies have reported its prognostic value in colorectal cancer (CRC). Therefore, this study explored the relationship between ALI and outcomes in CRC patients. Methods: A total of 662 CRC patients who underwent surgery between 2012 and 2014 were included. The ALI was defined as: body mass index × serum albumin/neutrophil to lymphocyte ratio. The X-tile program identified the optimal cut-off value of ALI. Logistic regression analyses determined factors affecting postoperative complications. The Kaplan–Meier method and Cox proportional hazards analyses evaluated potential prognostic factors. Results: The optimal cut-off of ALI in males and females were 31.6 and 24.4, respectively. Low-ALI was an independent risk factor for postoperative complications in CRC patients (odds ratio: 1.933, 95% CI [1.283–2.911], p = 0.002). Low-ALI groups also had significantly lower progression-free survival (PFS) and overall survival (OS), when compared with the high-ALI group, especially at advance tumor stages. Using multivariate analysis, ALI was determined as an independent prognostic factor for PFS (hazard ratio: 1.372, 95% CI [1.060–1.777], p = 0.016) and OS (hazard ratio: 1.453, 95% confidence interval: 1.113–1.898, p = 0.006). Conclusion: ALI is an independent predictor of short and long-term outcomes in CRC patients, especially at advance tumor stages. The ALI-based nomograms can provide accurate and individualized prediction of postoperative complication risk and survival for CRC patients.

16 February 2024 in Journal of Global Health
Verified
Journal Article
Open access
CLChenan Liu
Chenan Liu
TLTong Liu
Tong Liu
QZQingsong Zhang
Qingsong Zhang
MSMengmeng Song
Mengmeng Song
QZQi Zhang
Qi Zhang
Hanping ShiHanping Shi
Hanping Shi
Approximately 19.3 million new cancer cases and 10 million cancer-related deaths occur worldwide each year [1]. Cancer is a complex disease that poses a substantial threat to public health, which makes understanding its characteristics and the underlying developmental mechanisms necessary [2]. Recent studies have demonstrated a close relationship between cancer, inflammation, and metabolic disorders, with […]

13 August 2022 in Inflammation Research
Verified
Journal Article
Closed access
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HXHai lun Xie
Hai lun Xie
GRGuotian Ruan
Guotian Ruan
LWLishuang Wei
Lishuang Wei
HZHeyang Zhang
Heyang Zhang
YGYizhong Ge
Yizhong Ge
Hanping ShiHanping Shi
Hanping Shi

29 October 2024 in BMJ Open
Verified
Journal Article
Open access
PDF file
HXHai lun Xie
Hai lun Xie
LWLishuang Wei
Lishuang Wei
QWQiwen Wang
Qiwen Wang
STShuangyi Tang
Shuangyi Tang
JGJialiang Gan
Jialiang Gan
Objectives This study developed a refined carcinoembryonic antigen (CEA) grading system using CEA cut-off points of 5, 20 and 50 ng/mL and to explore the prognostic value of CEA grading in predicting the progression-free survival (PFS) and overall survival (OS) of colorectal cancer (CRC) patients. Design A retrospective cohort study. Setting First Affiliated Hospital of Guangxi Medical University. Participants 1107 CRC patients who received surgical treatment. Materials and methods Survival analysis was conducted using the Kaplan-Meier method and compared using the log-rank test. A Cox regression model with a 95% CI was used to evaluate the independent prognostic risk factors for CRC. Prognostic nomograms were constructed to predict the 1–5-year PFS/OS. Results Elevated serum CEA levels are often indicative of recurrence and death in CRC patients. Higher CEA levels were significantly associated with more aggressive tumour phenotypes. The CEA grading system was an independent predictor of prognosis in CRC patients and effectively stratified PFS (62.0% vs 51.2% vs 33.7% vs 20.2%, p<0.001) and OS (64.7% vs 54.4% vs 36.6% vs 22.5%, p<0.001) in CRC patients. As the CEA grade increased, the risk of poor prognosis gradually increased in a gradient manner, with an approximately 10% difference in risk grade between each CEA grade. The internal validation cohort further confirmed that CEA grade remains an effective prognostic factor for the survival of CRC patients. Prognostic nomograms, which integrate individual characteristics, tumour features and CEA grading, provide a more comprehensive prognostic evaluation for CRC patients. Conclusions The CEA grading system is an independent predictor of prognosis for CRC patients and can effectively stratify PFS and OS.

10 August 2022 in Nutrition
Verified
Journal Article
Closed access
HXHai lun Xie
Hai lun Xie
GRGuo-Tian Ruan
Guo-Tian Ruan
HZHe yang Zhang
He yang Zhang
YGYizhong Ge
Yizhong Ge
QZQi Zhang
Qi Zhang
Hanping ShiHanping Shi
Hanping Shi