Lymphocyte–to–Monocyte Ratio and Prognostic Nutritional Index Predict Poor Prognosis in Patients on Chemotherapy for Unresectable Pancreatic Cancer

2019 ◽  
Vol 39 (4) ◽  
pp. 2169-2176 ◽  
Author(s):  
TETSUNOSUKE SHIMIZU ◽  
KOHEI TANIGUCHI ◽  
MITSUHIRO ASAKUMA ◽  
ATSUSHI TOMIOKA ◽  
YOSHIHIRO INOUE ◽  
...  
2021 ◽  
Author(s):  
Jiawei Zhao ◽  
Kai Liu ◽  
Shen Li ◽  
Yuan Gao ◽  
Lu Zhao ◽  
...  

Abstract Background: Lower prognostic nutritional index (PNI) is related to poor prognosis of cardiovascular disease. However, little is known about PNI and its relationship with prognosis in cerebral venous sinus thrombosis (CVST).Methods: From January 2013 to June 2019, we retrospectively identified consecutive CVST patients. We selected patients in acute / subacute phase as subjects. Poor prognosis was defined as modified Rankin Scale (mRS) of 3-6. Multivariate logistic regression analysis was used to confirm if lower PNI was associated with poor prognosis. Results: A total of 297 subjects with 12-month follow-up data were enrolled. Thirty-three (11.1%) had poor outcome. Multivariate logistic regression analysis suggested that PNI was an important predictive factor of poor outcome in acute/subacute CVST (odds ratio, 0.903; 95% CI, 0.833-0.978; P = 0.012). The optimal cut-off value for predicting a poor prognosis of PNI was 44.2. Kaplan-Meier analysis and log-rank test suggested that the lower the PNI value, the higher the mortality rate (P<0.001). In addition, the nomogram we set up showed that lower PNI was an index of poor prognosis. The c-indexes for the cute/subacute patients with CVST was 0.872.Conclusions: Lower PNI is correlated with a higher risk of adverse clinical outcome in patients with acute/subacute CVST.


2021 ◽  
Author(s):  
Wenming Bao ◽  
Liming Deng ◽  
haitao Yu ◽  
bangjie He ◽  
Zixia Lin ◽  
...  

Abstract Background Intrahepatic cholangiocarcinoma (ICC) is a malignant neoplasm with a poor prognosis. Prediction of prognosis is critical for the individualized clinical management of patients with ICC. The purpose of this study is to establish a nomogram based on the psoas muscle index (PMI) and prognostic nutritional index (PNI) to identify the high risk-patient with ICC after curative resection. Methods ICC Patients after hepatectomy in multi-hospital from August 2012 to October 2019 were enrolled. The overall survival (OS) and recurrence-free survival (RFS) rates were analyzed by Kaplan-Meier. The independent factors were identified by univariate and multivariate Cox regression analyses. A nomogram based on independent factors was established to predict ICC patient prognosis. Results 178 ICC patients were included. The OS was worst in the patients with a combination of low PMI combined low PNI (p < 0.01). PMI, PNI, lymph node metastasis and tumor differentiation were the independent prognostic risk factors; these factors were used to establish the nomogram was established by it. The calibration curve revealed that the nomogram survival probability prediction model was in good agreement with the actual observation results. The nomogram has good reliability in predicting ICC patient prognosis (OS C-index = 0.692). The area under the receiver operating characteristic curve (AUC) for the nomogram's 3-year predicted survival was 0.752. Based on the stratified by nomogram, the median survival for low-risk patients was 59.8 months, compared with 16.2 months for high-risk patients (p༜0.001). Conclusion The nomogram based on the PMI and PNI can identify patients with the highest risk of poor prognosis after curative hepatectomy. It is a good decision-making tool for individualized treatment.


Pancreatology ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 247-253
Author(s):  
Kang Hyun Kim ◽  
Ho Kyoung Hwang ◽  
In Cheon Kang ◽  
Woo Jung Lee ◽  
Chang Moo Kang

Cancers ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 5272
Author(s):  
Minji Lim ◽  
Suhyun Park ◽  
Hyoung-Oh Jeong ◽  
Sung Hee Park ◽  
Sumit Kumar ◽  
...  

Circulating tumor cells (CTCs) are known to be heterogeneous and clustered with tumor-associated cells, such as macrophages, neutrophils, fibroblasts, and platelets. However, their molecular profile and clinical significance remain largely unknown. Thus, we aimed to perform a comprehensive gene expression analysis of single CTCs and CTC clusters in patients with pancreatic cancer and to identify their potential clinical relevance to provide personalized medicine. Epitope-independent, rapid (>3 mL of whole blood/min) isolation of single CTCs and CTC clusters was achieved from a prospective cohort of 16 patients with unresectable pancreatic cancer using a centrifugal microfluidic device. Forty-eight mRNA expressions of individual CTCs and CTC clusters were analyzed to identify pancreatic CTC phenotype. CTC clusters had a larger proportion of mesenchymal expression than single CTCs (p = 0.0004). The presence of CTC clusters positively correlated with poor prognosis (progression-free survival, p = 0.0159; overall survival, p = 0.0186). Furthermore, we found that most CTCs in these patients (90.7%) were cloaked with platelets and found the presence of a positive correlation between the increase in CTC clusters and rapid disease progression during follow-ups. Efficient CTC cluster isolation and analysis techniques will enhance the understanding of complex tumor metastasis processes and can facilitate personalized disease management.


2020 ◽  
Author(s):  
Takaaki Oba ◽  
Kazuma Maeno ◽  
Daiya Takekoshi ◽  
Mayu Ono ◽  
Tokiko Ito ◽  
...  

Abstract Background: The prognostic nutritional index (PNI), which is an easily calculated nutritional index, is significantly associated with patient outcomes in various solid malignancies. This study aimed to evaluate the prognostic impact of PNI changes in patients with breast cancer undergoing neoadjuvant chemotherapy (NAC).Methods: We reviewed patients with breast cancer who underwent NAC and a subsequent surgery for breast cancer between 2005 and 2016. PNI before and after NAC were calculated using the following formula: 10 × serum albumin (g/dl) + 0.005 × total lymphocyte count/mm3. The relationship between PNI and prognosis was retrospectively analyzed. Results: In total, 191 patients were evaluated. There was no significant difference in disease-free survival (DFS) between the pre-NAC PNI high group and the pre-NAC PNI low group (cutoff: 53.1). However, PNI decreased in 181 patients (94.7%) after NAC and the mean PNI also significantly decreased after NAC from 52.6 ± 3.8 pre-NAC to 46.5 ± 4.4 post-NAC (p < 0.01). The mean ΔPNI, which was calculated as pre-NAC PNI minus post-NAC PNI, was 5.4. The high ΔPNI group showed significantly poorer DFS than the low ΔPNI group (cut off: 5.26) (p = 0.015). Moreover, high ΔPNI was an independent risk factor of DFS on multivariate analysis (p = 0.042). Conclusions: High decrease of PNI during NAC predicts poor prognosis. Thus, maintaining the nutritional status during NAC may result in better treatment outcomes in patients with breast cancer.


2020 ◽  
Author(s):  
Takaaki Oba ◽  
Kazuma Maeno ◽  
Daiya Takekoshi ◽  
Mayu Ono ◽  
Tokiko Ito ◽  
...  

Abstract Background: The prognostic nutritional index (PNI), which is an easily calculated nutritional index, is significantly associated with patient outcomes in various solid malignancies. This study aimed to evaluate the prognostic impact of PNI changes in patients with breast cancer undergoing neoadjuvant chemotherapy (NAC). Methods: We reviewed patients with breast cancer who underwent NAC and a subsequent surgery for breast cancer between 2005 and 2016. PNI before and after NAC were calculated using the following formula: 10 × serum albumin (g/dl) + 0.005 × total lymphocyte count/mm3. The relationship between PNI and prognosis was retrospectively analyzed. Results: In total, 191 patients were evaluated. There was no significant difference in disease-free survival (DFS) between the pre-NAC PNI high group and the pre-NAC PNI low group (cutoff: 53.1). However, PNI decreased in 181 patients (94.7%) after NAC and the mean PNI also significantly decreased after NAC from 52.6 ± 3.8 pre-NAC to 46.5 ± 4.4 post-NAC (p < 0.01) . The mean ΔPNI, which was calculated as pre-NAC PNI minus post-NAC PNI, was 5.4. The high ΔPNI group showed significantly poorer DFS than the low ΔPNI group (cut off: 5.26) (p = 0.015). Moreover, high ΔPNI was an independent risk factor of DFS on multivariate analysis (p = 0.042). Conclusions: High decrease of PNI during NAC predicts poor prognosis. Thus, maintaining the nutritional status during NAC may result in better treatment outcomes in patients with breast cancer.


2010 ◽  
Vol 36 (7) ◽  
pp. 657-662 ◽  
Author(s):  
H. Chen ◽  
H. Tu ◽  
Z.Q. Meng ◽  
Z. Chen ◽  
P. Wang ◽  
...  

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