Unique ID issued by UMIN | UMIN000032225 |
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Receipt number | R000036748 |
Scientific Title | An exploratory study on poor prognostic factors for patients with resected body-tail adenocarcinoma of the pancreas. |
Date of disclosure of the study information | 2018/04/27 |
Last modified on | 2024/10/16 09:26:38 |
An exploratory study on poor prognostic factors for patients with resected body-tail adenocarcinoma of the pancreas.
Poor prognostic factors for pancreatic body-tail adenocarcinoma
An exploratory study on poor prognostic factors for patients with resected body-tail adenocarcinoma of the pancreas.
Poor prognostic factors for pancreatic body-tail adenocarcinoma
Japan |
Pancreatic adenocarcinoma
Hepato-biliary-pancreatic surgery |
Malignancy
NO
To examine the poor prognostic factor of resected distal pancreatic cancer patients focusing on the extent of retropancreatic disease progression (RP) and other organ invasion (OO), and to re-considerate the resectability status and oncological outcome of distal pancreatic cancer.
Efficacy
Exploratory
Overall survival (OS)
Disease free survival (DFS)
Poor prognostic factors for OS
Observational
20 | years-old | <= |
Not applicable |
Male and Female
1. Pathologically proven pancreatic adenocarcinoma
2. Patients who underwent radical resection
3. Patients who accept to participate in this research
Patients judged inappropriate as research subjects by research managers
300
1st name | Yasutoshi |
Middle name | |
Last name | Kimura |
Sapporo Medical University School of Medicine
Department of Surgery, Surgical Oncology and Science
0608543
S1, W16, Chuo-ku, Sapporo, Hokkaido
011-611-2111
kimuray@sapmed.ac.jp
1st name | Yasutoshi |
Middle name | |
Last name | Kimura |
Sapporo Medical University School of Medicine
Department of Surgery, Surgical Oncology and Science
0608543
S1, W16, Chuo-ku, Sapporo, Hokkaido
011-611-2111
kimuray@sapmed.ac.jp
Sapporo Medical University
Sapporo Medical University
Self funding
Hokkaido Pancreatic Cancer study Group; HOPS
Institutional review board, Sapporo Medical University Hospital
S1W16, Chuoku, Sapporo City
011-611-2111
ko-hamaya-923@sapmed.ac.jp
NO
2018 | Year | 04 | Month | 27 | Day |
http://sapmed-surg1.jp/gairai/optout.shtml
Partially published
https://doi.org/10.1016/j.pan.2023.12.004
322
A multicenter retrospective study was conducted to comprehensively identify prognostic factors for pancreatic tail cancer. The maximum likelihood method identified 11 prognostic elements to stratify patients by oncological outcomes and emphasized its compensatory role over the conventional approach.
2024 | Year | 03 | Month | 11 | Day |
2023 | Year | 12 | Month | 06 | Day |
A total of 322 patients who underwent DP were registered to the HOPS Pt-01 cohort from 5 institutions. Of the initial 322 patients, 153 had tumors localized in the pancreatic body, 67 had tumors localized in the body to tail, and 1 patient presented with 2 separate lesions in the body and tail, respectively. Furthermore, among the patients with Pt-PC, one was excluded due to the presence of concurrent liver metastasis at the time of diagnosis. This patient underwent laparoscopic DP during multidisciplinary treatment that included hepatic arterial infusion chemotherapy. Conse- quently, 100 patients with Pt-PC were included in this retrospective nalysis. The distribution of study patients is presented in Table 1. The study patients predominantly consisted of males with a me- dian age of 69 years (range, 42e86). The median CA19-9 level was 55 U/mL (range, 0.6e2367.1). Regarding treatment period, there were 10 patients before 2007, 43 patients from 2008 to 2012, and 47 patients since 2013. The primary tumor location was the Pt in 97 patients. Three patients had tumors in the tail that extended slightly into the body (Ptb).
The maximum likelihood method (MLM) was employed to search for the optimal combination of factors influencing RFS or OS. Stepwise selection of variables using corrected Akaike's Informa- tion Criterion (AICc) and Bayesian Information Criterion (BIC) was performed to select the most appropriate covariance structure. Proportional hazards regression models were used to identify po- tential combinations of prognostic elements. Selection of prog- nostic elements for RFS was guided by AICc and BIC values. AICc and BIC are measures of the goodness of fit of a statistical model that take into account the number of model parameters. Lower AICc and BIC values indicate better model fit. Initially, we used the 25 ele- ments in the proportional hazards model to explore combinations of factor that minimize AICc and BIC values. During variable se- lection, we included variables deemed appropriate as explanatory variables based on previous reports and variables that were known to be confounders. We also prioritized factors with p < 0.01 in the Cox univariate analysis.
Independent prognostic factors for RFS and OS were further identified using a multivariate Cox proportional hazards regression model based on the factors for the most appropriate covariance structure. Statistical analyses were conducted using JMP Pro 16.0 software (JMP Japan, Tokyo, Japan) and SPSS version 26.0 (SPSS, Armonk, New York, USA).
No corresponding data available
The survey consisted of 24 variables, including individual pa- tient demographic data, details on neoadjuvant treatment (NAT), details about attempted radical surgery, perioperative factors including surgical morbidities according to the Clavien-Dindo (CD) classification [13], pathological findings including pTNM stage [10], histologic assessment of the extent of preoperative treatment response according to the Evans grading system [14], adjuvant treatment (AT), and outcomes including, types of initial relapse, subsequent treatment, and death from any cause. CA19-9 values were recorded at the time of diagnosis. Postoperative nadirs, irre- spective of timing, were also recorded. AT was defined as complete if the prescribed treatment course was performed or based on the treating physician's decision to conclude it later. Overall patient survival (OS) was calculated from the date of surgery to the date of the last follow-up or patient death. Relapse-free survival (RFS) was calculated from the date of surgery to the date of the last follow-up or confirmation of recurrence. The first survey started in February 2019. Survival data were collected up until December 2021.
The primary objective was to identify the optimal combination of factors that affect relapse-free survival (RFS). The secondary outcomes were to evaluate the association of these factors with 5- year RFS and early relapse within 1 year, identify the independent prognostic factors among them, and reveal the characteristics of these factors in patients with 5-year RFS.
Completed
2018 | Year | 04 | Month | 09 | Day |
2018 | Year | 07 | Month | 04 | Day |
2018 | Year | 07 | Month | 05 | Day |
2019 | Year | 07 | Month | 31 | Day |
2019 | Year | 12 | Month | 31 | Day |
2020 | Year | 01 | Month | 31 | Day |
2022 | Year | 03 | Month | 31 | Day |
Background information: age, sex, medical history,
Tumor marker: CEA, CA19-9
Surgical information: operative method, operation time, amount of bleeding
Postoperative information: postoperative complication, postoperative hospital stay
Information on postoperative information: presence or absence of postoperative adjuvant chemotherapy (drug, duration) Presence or absence of recurrence (presence or absence of treatment, content, duration), presence / absence of death, cause of death
2018 | Year | 04 | Month | 12 | Day |
2024 | Year | 10 | Month | 16 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000036748
Research Plan | |
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Registered date | File name |
2024/10/16 | HOPS-Pt 1227'18.docx |
Research case data specifications | |
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Registered date | File name |
2024/10/16 | HOPS-Pt観察研究CRF 0730'18.xlsx |
Research case data | |
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Registered date | File name |
2024/10/16 | HOPS Pt-01解析中DBF.xlsx |
Value
https://center6.umin.ac.jp/ice/36748