Feasibility of local therapy for recurrent pancreatic cancer

Sato, Hiroki; Yoshida, Ryuichi; Yasui, Kohichiroh; Umeda, Yuzo; Yoshida, Kazuhiro; Fuji, Tomokazu; Kumano, Kenjiro; Takagi, Kosei; Yagi, T.; Fujiwara, Toshiyoshi

doi:10.1016/j.pan.2022.05.004

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…Finally, 76 studies were identified, which provided a definition of OMD in PDAC and/or reported LCT of OMD ( Table 1 ). Most studies were retrospective ( n = 66, 87%), 2 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 ,…”

Section: Resultsmentioning

confidence: 99%

“…The majority ( n = 69, 91%) of studies involved one metastatic site, while one study involved metastasis in multiple organs 82 and six studies did not report the number of organs involved. 41 , 45 , 50 , 51 , 53 , 84 Thirty (40%) studies encompassed synchronous metastasis, 29 , 31 , 33 , 34 , 40 , 42 , 43 , 44 , 46 , 47 , 48 , 49 , 51 , 52 , 56 , 60 , 61 , 64 , 69 , 70 , 72 , 73 , 75 , 80 , 83 , 88 , 89 , 90 , 91 , 92 whereas 21 (28%) involved metachronous metastases 13 , 27 , 35 , 37 , 53 , 57 , 58 , 59 , 63 , 65 , 67 , 71 , 74 , 76 , 77 , 79 , 93 , 94 , 95 , 96 and 16 (21%) studies involved both synchronous and metachronous metastases. 2 , 14 , 30 , 32 ...…”

Section: Resultsmentioning

confidence: 99%

“…Among the 76 studies included in the analysis, only 32 (42%) provided a definition of OMD, 2 , 16 , 17 , 28 , 32 , 36 , 39 , 46 , 47 , 48 , 49 , 54 , 55 , 56 , 68 , 72 , 77 , 82 , 83 , 84 , 86 , 87 , 88 , 89 , 91 , 96 whereas the majority ( n = 44, 58%) failed to do so 13 , 14 , 27 , 29 , 30 , 31 , 33 , 34 , 35 , 37 , 38 , 41 , 42 , 43 , 44 , 45 , 50 , 51 , 52 , 53 , 57 , 58 , 59 , 60 , 62 , 63 , 65 , 66 , 67 , 70 , 71 , 74 , 76 , 78 , 79 , 80 , 86 , 90 , ...…”

Section: Resultsmentioning

confidence: 99%

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Defining oligometastatic pancreatic cancer: a systematic review and critical synthesis of consensus

Leonhardt,

Stamm,

Hank

et al. 2023

ESMO Open

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Defining oligometastatic pancreatic cancer: a systematic review and critical synthesis of consensus

Leonhardt,

Stamm,

Hank

et al. 2023

ESMO Open

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“…In a study involving 13,233 patients with distant metastases from pancreatic cancer, Oweira et al found that liver metastases accounted for 76% of PC patients [ 17 ]. It has been found that surgical resection, radiotherapy, and radiofrequency ablation of the liver are feasible for improving the prognosis of PCLM patients according to their liver metastases [ 18 , 19 , 20 , 21 ]. The TNM staging method of the American Joint Committee on Cancer (AJCC) has been utilized to assess the prognosis of pancreatic cancer patients; there is a lack of comprehensive and effective models for anticipating and assessing the risk factors and prognosis of PCLM patients [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

Nomograms for Predicting the Risk and Prognosis of Liver Metastases in Pancreatic Cancer: A Population-Based Analysis

Shi

Zhou

et al. 2023

JPM

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The liver is the most prevalent location of distant metastasis for pancreatic cancer (PC), which is highly aggressive. Pancreatic cancer with liver metastases (PCLM) patients have a poor prognosis. Furthermore, there is a lack of effective predictive tools for anticipating the diagnostic and prognostic techniques that are needed for the PCLM patients in current clinical work. Therefore, we aimed to construct two nomogram predictive models incorporating common clinical indicators to anticipate the risk factors and prognosis for PCLM patients. Clinicopathological information on pancreatic cancer that referred to patients who had been diagnosed between the years of 2004 and 2015 was extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate logistic regression analyses and a Cox regression analysis were utilized to recognize the independent risk variables and independent predictive factors for the PCLM patients, respectively. Using the independent risk as well as prognostic factors derived from the multivariate regression analysis, we constructed two novel nomogram models for predicting the risk and prognosis of PCLM patients. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve, the consistency index (C-index), and the calibration curve were then utilized to establish the accuracy of the nomograms’ predictions and their discriminability between groups. Using a decision curve analysis (DCA), the clinical values of the two predictors were examined. Finally, we utilized Kaplan–Meier curves to examine the effects of different factors on the prognostic overall survival (OS). As many as 1898 PCLM patients were screened. The patient’s sex, primary site, histopathological type, grade, T stage, N stage, bone metastases, lung metastases, tumor size, surgical resection, radiotherapy, and chemotherapy were all found to be independent risks variables for PCLM in a multivariate logistic regression analysis. Using a multivariate Cox regression analysis, we discovered that age, histopathological type, grade, bone metastasis, lung metastasis, tumor size, and surgery were all independent prognostic variables for PCLM. According to these factors, two nomogram models were developed to anticipate the prognostic OS as well as the risk variables for the progression of PCLM in PCLM patients, and a web-based version of the prediction model was constructed. The diagnostic nomogram model had a C-index of 0.884 (95% CI: 0.876–0.892); the prognostic model had a C-index of 0.686 (95% CI: 0.648–0.722) in the training cohort and a C-index of 0.705 (95% CI: 0.647–0.758) in the validation cohort. Subsequent AUC, calibration curve, and DCA analyses revealed that the risk and predictive model of PCLM had high accuracy as well as efficacy for clinical application. The nomograms constructed can effectively predict risk and prognosis factors in PCLM patients, which facilitates personalized clinical decision-making for patients.

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Is pancreatic adenosquamous carcinoma (PASC) a surgical disease? A large healthcare system review

Im,

Kareddy,

Satyananda

et al. 2024

Surgical Oncology Insight

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Feasibility of local therapy for recurrent pancreatic cancer

Cited by 6 publications

References 18 publications

Defining oligometastatic pancreatic cancer: a systematic review and critical synthesis of consensus

Defining oligometastatic pancreatic cancer: a systematic review and critical synthesis of consensus

Nomograms for Predicting the Risk and Prognosis of Liver Metastases in Pancreatic Cancer: A Population-Based Analysis

Is pancreatic adenosquamous carcinoma (PASC) a surgical disease? A large healthcare system review

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