Figures
Abstract
Background
This study aimed to evaluate the effects of sarcopenia and inflammation on the prognosis of patients with pancreatic cancer after pancreaticoduodenectomy.
Methods
Eighty patients who had undergone pancreaticoduodenectomy for pancreatic cancer between July 2010 and December 2023 were included in this study. The psoas muscle index was used to assess sarcopenia. The C-reactive protein-to-albumin ratio, prognostic nutritional index, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio were used to calculate the preoperative inflammatory marker levels. The prognostic factors for overall survival were determined using Cox regression analysis.
Results
Twenty-four patients were diagnosed with sarcopenia. Sarcopenia showed a significant association with advanced tumor stage. Univariate analysis revealed a significant reduction in overall survival in patients with a prognostic nutritional index of <45, C-reactive protein-to-albumin ratio of ≥0.047, cancer antigen 19–9 levels of ≥130 U/mL, sarcopenia, lymph node metastasis, and vascular invasion. Multivariate analysis revealed that a C-reactive protein-to-albumin ratio of ≥0.047 (hazards ratio, 3.383; 95% confidence interval: 1.384–8.689; p< 0.001), cancer antigen 19–9 levels of ≥130 U/mL (hazards ratio, 2.720; 95% confidence interval: 1.291–6.060; p = 0.008), sarcopenia (hazards ratio, 3.256; 95% confidence interval: 1.535–7.072; p = 0.002) and vascular invasion (hazards ratio, 2.092; 95% confidence interval: 1.057–4.170; p = 0.034) were independent predictors of overall survival. Overall survival in the sarcopenia and high C-reactive protein-to-albumin ratio groups was significantly poorer than that in the non-sarcopenia and low C-reactive protein-to-albumin ratio and sarcopenia or high C-reactive protein-to-albumin ratio groups.
Citation: Utsumi M, Inagaki M, Kitada K, Tokunaga N, Yunoki K, Okabayashi H, et al. (2024) Combination of sarcopenia and systemic inflammation-based markers for predicting the prognosis of patients undergoing pancreaticoduodenectomy for pancreatic cancer. PLoS ONE 19(6): e0305844. https://doi.org/10.1371/journal.pone.0305844
Editor: Takehiko Hanaki, School of Medicine, Tottori University, JAPAN
Received: February 22, 2024; Accepted: June 4, 2024; Published: June 24, 2024
Copyright: © 2024 Utsumi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Pancreatic cancer, one of the most lethal types of cancer, is the seventh leading cause of cancer-related death worldwide [1]. Approximately 50–55% of patients present with metastatic disease at the time of diagnosis, whereas 30–35% present with locally advanced unresectable disease. Only 15–20% of patients present with resectable (R) or borderline resectable (BR) disease [2,3]. Adjuvant chemotherapy improves survival outcomes; however, surgical resection remains the only potentially curative approach [4]. Advances in perioperative diagnosis and management, as well as surgical techniques, have improved the overall survival of patients with pancreatic cancer after resection. Nevertheless, the 5-year post-resection survival rate of pancreatic cancer remains 20–30% [3]. Thus, the identification of reliable and sensitive preoperative prognostic factors is necessary to aid in individualized treatment decision-making and survival outcome prediction for pancreatic cancer.
Pancreaticoduodenectomy is indicated for the resection of cancer involving the pancreatic head. Previous studies have revealed that malnutrition and low preoperative albumin levels are associated with an increased risk of morbidity and mortality among patients undergoing pancreaticoduodenectomy [5]. In addition, inflammatory markers have also been identified as useful prognostic indicators for pancreatic cancer after pancreaticoduodenectomy [6].
Tumor-specific factors, such as tumor size, tumor differentiation, lymph node metastasis, vascular invasion, and resection margin status, influence the prognosis of patients after pancreaticoduodenectomy. However, the postoperative prognosis is multifactorial. Moreover, it is related to tumor-specific factors and patient characteristics. Sarcopenia, a disease characterized by the loss of skeletal muscle mass and strength, has been identified as a factor indicating poor prognosis in patients undergoing digestive surgery [7,8]. As for pancreatic cancer, sarcopenia has been identified as an independent risk factor for overall survival after resection [9,10]. Consequently, the prediction and early diagnosis of sarcopenia play a crucial role in determining the prognosis of patients with pancreatic cancer.
Inflammation and sarcopenia influence carcinogenesis and the progression of cancer [11]. There is increasing evidence that the systemic inflammatory response plays an important role in the progression of various cancers [12]. Previous studies have assessed systemic inflammation-based biomarkers, such as the neutrophil-lymphocyte ratio [13], platelet-lymphocyte ratio [14], prognostic nutritional index [15], and C-reactive protein-to-albumin ratio (CAR) [16]. A correlation has been observed between these biomarkers and the postoperative prognosis in patients with pancreatic cancer [17–21].
Systemic inflammation has been observed in patients with sarcopenia [22]. A correlation has been observed between sarcopenia accompanied by systemic inflammation and poor prognosis in patients with various types of cancer [23–25]. However, no study has examined the effect of sarcopenia in combination with systemic inflammation on the prognosis of patients with pancreatic cancer undergoing pancreaticoduodenectomy. Therefore, this study aimed to evaluate the effects of sarcopenia and inflammation on the postoperative prognosis of patients with pancreatic cancer.
Methods
Patients
Eighty consecutive patients with pancreatic cancer who had undergone pancreaticoduodenectomy at the Department of Surgery, National Hospital Organization Fukuyama Medical Center, between July 1, 2010 and December 1, 2023 were included in this retrospective study. Data were collected and analyzed from December 6, 2023 to January 15, 2024 to allow for at least 1 month of follow-up. Diagnosis of pancreatic cancer was confirmed by pathological examination. All procedures involving human participants performed in this study adhered to the ethical standards of the Institutional and National Research Committee and the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. The Ethics Review Committee of Independent Administrative Agency, National Hospital Organization Fukuyama Medical Center approved this clinical research (approval number: ERB2023033). The requirement for obtaining written informed consent from the patients was waived owing to the retrospective study design.
Data collection
Data regarding the following clinicopathological characteristics were extracted from the medical records of the participants: demographic characteristics (age at the time of undergoing surgery, sex, and body mass index), preoperative laboratory data (platelet/neutrophil/lymphocyte count and serum albumin, carcinoembryonic antigen, and cancer antigen 19–9 [CA19-9] levels), CAR, platelet-lymphocyte ratio, neutrophil-lymphocyte ratio, prognostic nutritional index, operative blood loss, surgical duration, resectability, tumor size/stage (Union for International Cancer Control Tumor–Node–Metastasis classification [eighth edition]), vascular invasion, and tumor differentiation [26]. CAR was calculated using the following equation [16]:
C-reactive protein-to-albumin ratio = C-reactive protein (mg/dL)/serum albumin (g/dL).
The neutrophil-lymphocyte ratio and platelet-lymphocyte ratio were calculated by dividing the neutrophil and platelet counts by the lymphocyte count, respectively [19,27]. The prognostic nutritional index was calculated using the following equation:
10 × serum albumin (g/dL) + 0.05 × total lymphocyte count (/mm3) [20,28].
The Clavien–Dindo classification was used to classify the complications [29]. Postoperative complications were defined as complications of grade ≥3. The International Study Group on Pancreatic Fistula classification was used to diagnose and grade pancreatic fistulas [30,31]. Death within 30 days of surgery was defined as postoperative mortality. The administration of two cycles of neoadjuvant chemotherapy with gemcitabine + S-1 has been recommended for all cases since 2019 [32–34]. Adjuvant chemotherapy with TS-1 was continued for approximately 6 months postoperatively [35].
Sarcopenia marker
The psoas muscle index (PMI), an alternative measurement of sarcopenia adopted by the Japan Society of Hepatology [9], was used to assess sarcopenia. Preoperative computed tomography imaging examinations were conducted within 1 month before the surgery using a multidetector computed tomography scanner (Aquilion CXL 64; Canon Medical Systems, Tochigi, Japan). The cross-sectional area of the bilateral psoas muscles was measured on computed tomography images acquired at the level of the caudal end of the third lumbar vertebra via manual tracing (Fig 1). PMI was calculated using the following formula:
Psoas muscle index = cross-sectional area of the bilateral psoas muscles (cm2)/height squared (m2).
A low psoas muscle index indicated low muscle volume [9]. The PMI range for women differs from that for men; therefore, different cut-off values were established using receiver operating characteristic (ROC) curves. The optimal cut-off values were selected on the basis of the best accuracy for the outcome. PMI values below the cut-off value indicated sarcopenia.
Operative procedure
Four surgeons specializing in pancreatic surgery performed subtotal stomach-preserving pancreaticoduodenectomy by an open approach. The extent of locoregional lymphadenectomy was determined on the basis of the preoperative diagnosis of the patient. A modification of the Child method was used for surgical reconstruction [36]. The proximal jejunal stump was passed through the retrocolic pathway. Pancreaticojejunostomy, biliojejunostomy, and gastrojejunostomy were performed subsequently. The modified Kakita (n = 21; July 2010 to June 2015) or modified Blumgart (n = 59; July 2015 to the present) anastomosis methods were used to perform pancreaticojejunostomy [37]. The decision to insert plastic stents into the main pancreatic duct for internal drainage was made intraoperatively by each surgeon. Two drains were placed posterior to the pancreaticojejunostomy and hepaticojejunostomy anastomoses.
Follow-up
The patients underwent routine follow-up until December 2023. Data regarding the medical history (symptoms and findings of the physical examination), results of laboratory studies, and imaging findings were collected during the follow-up visits scheduled every 3–6 months for ≥5 years. The duration between surgery and death or the last follow-up was defined as overall survival. The duration between surgery and recurrence was defined as recurrence-free survival.
Statistical analyses
The data were blinded before analysis and are presented as mean ± standard deviation. Univariate analysis was performed using the chi-squared test. The area under the ROC curve (AUC) was used to determine the diagnostic accuracy. The optimal cut-off value for each parameter was calculated by maximizing the Youden index (sensitivity + specificity − 1) [38]. Overall survival and recurrence-free survival were estimated using the Kaplan–Meier method. The differences between the subgroups were compared using the log-rank test. A Cox proportional hazards model was used to perform univariate and multivariate analyses. Significant variables in univariate analysis were included in multivariate analysis. A p-value of <0.05 was considered statistically significant. JMP version 11 (SAS Institute, Cary, NC, USA) was used to perform all statistical analyses.
Results
Patient characteristics
Eighty consecutive patients, comprising 40 men and 40 women, who underwent recurrence-free survival for pancreatic cancer were included in this study. Table 1 summarizes the patient characteristics. The mean tumor diameter was 2.6 (range, 0.5–6.0) cm. The mean duration of surgery was 513 (range, 321–892) min. The mean blood loss was 788 (range, 17–8,220) mL. Eleven (13.8%) patients underwent blood transfusions. Postoperative complications of Clavien–Dindo class ≥3a were observed in 19 (23.8%) patients.
ROC curve analysis of systemic inflammation-based biomarkers
ROC curve analysis was used to determine the optimal cut-off value for each systemic inflammation-based biomarker, with overall survival as an endpoint. The AUC values for CAR, neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, and prognostic nutritional index were 0.67, 0.61, 0.57, and 0.66, respectively. The ability of CAR to predict overall survival in patients with pancreatic cancer was superior to that of the other markers. The optimal cut-off value for CAR was 0.47 (sensitivity, 66.7%; specificity, 68.3%), and the patients were divided into high (≥0.47; n = 39) and low (<0.47; n = 41) CAR groups based on this cut-off value.
Comparison between the sarcopenia and non-sarcopenia groups
The cut-off values for PMI were 5.50 and 4.49 cm2/m2 in men and women (AUC: 0.55 and 0.71), respectively. Twenty-four (30.0%) patients were diagnosed with sarcopenia. The patients were stratified into two groups based on the presence (n = 24) or absence (n = 56) of sarcopenia. Table 2 presents the results of the comparison between the clinicopathological variables of the two groups. No significant differences were observed between the groups in terms of age or body mass index. The frequency of lymph node metastasis was higher in the sarcopenia group than in the non-sarcopenia group. The proportion of patients with stage UICC ≥ IIB in the sarcopenia group was higher than that in the non-sarcopenia group. A significant correlation was observed between sarcopenia and the progression of cancer.
Survival analysis
The median overall survival was 32.3 (range, 2.0–102.7) months, whereas the 1-, 3-, and 5-year overall survival rates were 89.4%, 44.8%, and 32.8%, respectively. Kaplan–Meier analysis revealed that the overall survival of the sarcopenia group was significantly shorter than that of the non-sarcopenia group (P < 0.001; Fig 2A). The overall survival of the high CAR group was significantly shorter than that of the low CAR group (P <0.001; Fig 2B). The median recurrence-free survival was 17.6 (range, 2.0–102.7) months, whereas the 1-, 3-, and 5-year recurrence-free survival rates were 53.9%, 42.3%, and 33.9%, respectively.
(a) The sarcopenia group versus the non-sarcopenia group. (b) The high CAR group versus the low CAR group. CAR, C-reactive protein-to-albumin ratio.
Univariate and multivariate analyses of the clinicopathological characteristics in relation to overall survival and recurrence-free survival
Table 3 presents the relationship between clinicopathological characteristics and overall survival in patients with pancreatic cancer after pancreaticoduodenectomy. Univariate analysis revealed a significant reduction in the overall survival of patients with a prognostic nutritional index of <45, CAR of ≥0.047, CA19-9 levels of ≥130 U/mL, sarcopenia, lymph node metastasis, and vascular invasion. Multivariate analysis revealed that a CAR of ≥0.047 (hazards ratio [HR], 3.383; 95% CI: 1.384–8.689; p< 0.001), CA19-9 levels of ≥130 U/mL (HR, 2.720; 95% CI: 1.291–6.060; p = 0.008), sarcopenia (HR, 3.256; 95% CI: 1.535–7.072; p = 0.002), and vascular invasion (HR, 2.092; 95% CI: 1.057–4.170; p = 0.034) were independent predictors of overall survival. Table 4 presents the correlation between the clinicopathological characteristics and recurrence-free survival in patients with pancreatic cancer after pancreaticoduodenectomy. Univariate analysis revealed a significant reduction in the recurrence-free survival in patients with a CAR of ≥0.047, CA19-9 levels of ≥130 U/mL, sarcopenia, lymph node metastasis, vascular invasion, and tumor differentiation (no well-differentiated adenocarcinoma). Multivariate analysis revealed that CA19-9 ≥130 U/mL (HR, 3.177; 95% CI: 1.612–6.431; p< 0.001), sarcopenia (HR, 2.463; 95% CI: 1.208–5.012; p = 0.013) vascular invasion (HR, 2.133; 95% CI: 1.039–4.433; p = 0.039) and tumor differentiation (no well-differentiated adenocarcinoma) (HR, 2.90; 95% CI: 1.491–5.718; p = 0.002) were independent predictors of recurrence-free survival.
Effect of “sarcopenia and CAR status” on survival
Sarcopenia and high CAR were identified as significant prognostic factors for overall survival in patients with pancreatic cancer after pancreaticoduodenectomy. These two factors were combined to derive “sarcopenia and CAR status.” Overall survival was compared among the “non-sarcopenia and a low CAR (Group A),” “sarcopenia or a high CAR (Group B),” and “sarcopenia and a high CAR (Group C)” groups. The Kaplan–Meier curves were divided into three groups based on these statuses (Fig 3). Multivariate analysis was performed using the variable “sarcopenia and CAR status,” as sarcopenia and a high CAR showed a strong association with overall survival. This analysis revealed that “sarcopenia and a high CAR” and “sarcopenia or a high CAR” were significant prognostic factors for overall survival (HR: 14.393, 95% CI: 5.244–43.322, P<0.001; HR: 3.366, 95% CI: 1.469–8.703, P = 0.004, respectively) (Table 5).
CAR, C-reactive protein-to-albumin ratio.
Discussion
The present study demonstrated that sarcopenia and high CAR are independent predictors of poor overall survival in patients with pancreatic cancer and that the overall survival of the patients in the sarcopenia and high CAR group was the poorest among all three groups. The combination of sarcopenia and high CAR had a strong effect on poor survival. To the best of our knowledge, this study is the first to demonstrate that sarcopenia accompanied by CAR is correlated with poor prognosis in patients with pancreatic cancer after pancreaticoduodenectomy.
Sarcopenia is a hallmark of cancer cachexia. Moreover, it is a major factor that results in increased morbidity and mortality in patients with advanced gastrointestinal cancer [39,40]. The use of skeletal muscle index, which was calculated using the total muscle area at the L3 level, has been recommended by an international consensus for the evaluation of sarcopenia [41]. The PMI calculated by measuring the area of the psoas muscle at the L3 level showed a significant correlation with the skeletal muscle index according to the total muscle area. PMI has often been used as a marker for sarcopenia in patients with hepatobiliary cancer [8,9]. PMI can be calculated easily without the use of a special image-analysis system. Therefore, PMI was calculated to analyze sarcopenia in the present study.
Sarcopenia was identified as an independent prognostic factor for overall survival and recurrence-free survival in patients with pancreatic cancer after pancreaticoduodenectomy in the present study, which is consistent with the findings of previous studies [9,10]. A meta-analysis of prognostic factors for pancreatic cancer also demonstrated that sarcopenia is associated with poor survival in patients with pancreatic cancer [42]. Kim et al. revealed that muscle types with myosteatosis, regardless of the sarcopenia, were linked to poor overall survival in patients with pancreatic cancer. This result could be attributed to the different mechanism of sarcopenia and myosteatosis that contribute to nutritional and immunologic disturbances.
The present study revealed an association between sarcopenia and advanced tumor stage, suggesting that tumor progression is associated with sarcopenia. Previous studies have reported that inflammatory, immunological, and nutritional conditions are highly involved in carcinogenesis [43]. Various biomarkers that indicate the nutritional or inflammation level have attracted attention as potential biomarkers for predicting the prognosis of cancer. Some reports on preoperative inflammation-based biomarkers that assessed the prognosis of patients with pancreatic cancer have demonstrated that CAR may be useful in predicting prognosis [16,44]. A recent meta-analysis also revealed that CAR shows a significant association with poorer overall survival [45].
The levels of CRP, an acute-phase protein synthesized by the liver, increase rapidly in response to inflammation in patients with cancer [46]. Elevated CRP levels are associated with poor prognosis in various types of cancer [47,48]. Albumin, a protein produced by the liver, regulates osmotic pressure and functions as a carrier for the transportation of several metabolic substances. Hypoalbuminemia (malnutrition) is associated with poor overall survival in some types of cancer [49,50]. This finding may be attributed to several reasons. Albumin is an antioxidant that buffers biochemical changes, stabilizes cell growth and DNA replication, and maintains hormone homeostasis [51]. Moreover, high serum albumin levels may provide an antiproliferative effect in cancer cells in vitro [52]. Hypoalbuminemia is a syndrome associated with malnutrition and chronic inflammation [53]. Low serum albumin levels may weaken the immune system. This increases the susceptibility to infection, resulting in cytokine-induced suppression, which affects long-term overall survival [54]. Thus, CAR, which combines CRP and Alb, may be a prognostic indicator for patients with cancer, and high CAR levels could be a marker of poor overall survival.
Our study revealed that the sarcopenia and CAR strongly were correlated with poor prognosis. Rapid disease progression and poorer prognosis are observed in patients with sarcopenia accompanied by inflammation. The correlation between sarcopenia and systemic inflammatory markers has been attracting attention in recent years [25]. A strong correlation has been observed between systemic inflammatory markers and catabolic pathway activation [55]. Tumor necrosis factor and interleukin-6 released by the tumor and surrounding cells can suppress protein synthesis and stimulate protein degradation [56]. Tumors themselves also promote inflammation, thereby facilitating tumor progression. Secretion of pro-inflammatory myokines induces muscle degeneration and exacerbates systemic inflammation [57]. Inflammation may cause malnutrition, resulting in impaired immune responses and reduced muscle strength [58]. Thus, inflammation and malnutrition collectively lead to sarcopenia [59].
Appropriate preoperative nutritional therapy may improve the postoperative outcomes in patients with sarcopenia and a high CAR. Nakajima et al. [60] investigated the clinical benefits of preoperative exercise and nutritional therapy in patients undergoing hepatopancreatobiliary surgery for malignancies. Kaido et al. [8] reported the effects of nutritional therapy on the prognosis of patients with sarcopenia after liver transplantation. Preoperative rehabilitation is effective in reducing postoperative complications in patients with various types of cancer [61,62]. Thus, supportive therapies focusing on nutrition and rehabilitation should be implemented during the perioperative period in patients with pancreatic cancer. Especially, for patients with sarcopenia and high CAR, these supportive therapies might be expected to improve their prognosis. However, their efficacy must be evaluated in further prospective studies.
Preoperative PMI and CAR are reliable parameters for predicting the postoperative prognosis. Risk stratification for sarcopenia and inflammation-based biomarkers, which can be performed easily preoperatively, could aid clinical decision-making. However, further investigations are warranted when considering the indications for surgery in high-risk patients.
This study has certain limitations. First, this was a retrospective study with a small sample size. Second, since this was a retrospective study, there is a possibility of confounding bias. Third, the diagnostic criteria for sarcopenia were determined using only PMI. Sarcopenia should be diagnosed via the detection of low muscle mass and reduced muscle function. However, the data from physical tests such as the handgrip test, which indicates the degree of skeletal muscle function and is one of the diagnostic criteria for sarcopenia, was not available. It may be more suitable to combine these data with PMI to predict the prognosis of patients with pancreatic cancer. Finally, the clinical materials analyzed in this study were solely from a single institution in Japan. To overcome these limitations, large-scale, multicenter, prospective studies that include diverse ethnic populations are needed to further confirm the clinical relevancy of preoperative PMI in patients with pancreatic cancer.
In conclusion, sarcopenia and high CAR were associated with poor overall survival in patients with pancreatic cancer after pancreaticoduodenectomy. Moreover, sarcopenia and CAR were identified as independent preoperative predictors of overall survival in patients with pancreatic cancer. Nutritional therapy and rehabilitation may increase the survival of cancer patients with sarcopenia and inflammation.
References
- 1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021;71: 209–249. pmid:33538338.
- 2. Park W, Chawla A, O’Reilly EM. Pancreatic cancer: a review. JAMA. 2021;326: 851–862. pmid:34547082; PubMed Central PMCID: PMC9363152.
- 3. Mizrahi JD, Surana R, Valle JW, Shroff RT. Pancreatic cancer. Lancet. 2020;395: 2008–2020. pmid:32593337.
- 4. McGuigan A, Kelly P, Turkington RC, Jones C, Coleman HG, McCain RS. Pancreatic cancer: A review of clinical diagnosis, epidemiology, treatment and outcomes. World J Gastroenterol. 2018;24: 4846–4861. pmid:30487695; PubMed Central PMCID: PMC6250924.
- 5. Fujiwara Y, Shiba H, Shirai Y, Iwase R, Haruki K, Furukawa K, et al. Perioperative serum albumin correlates with postoperative pancreatic fistula after pancreaticoduodenectomy. Anticancer Res. 2015;35: 499–503. pmid:25550594.
- 6. Watanabe J, Otani S, Sakamoto T, Arai Y, Hanaki T, Amisaki M, et al. Prognostic indicators based on inflammatory and nutritional factors after pancreaticoduodenectomy for pancreatic cancer. Surg Today. 2016;46: 1258–1267. pmid:26869184.
- 7. Harimoto N, Shirabe K, Yamashita YI, Ikegami T, Yoshizumi T, Soejima Y, et al. Sarcopenia as a predictor of prognosis in patients following hepatectomy for hepatocellular carcinoma. Br J Surg. 2013;100: 1523–1530. pmid:24037576.
- 8. Kaido T, Ogawa K, Fujimoto Y, Ogura Y, Hata K, Ito T, et al. Impact of sarcopenia on survival in patients undergoing living donor liver transplantation. Am J Transplant. 2013;13: 1549–1556. pmid:23601159.
- 9. Okumura S, Kaido T, Hamaguchi Y, Fujimoto Y, Masui T, Mizumoto M, et al. Impact of preoperative quality as well as quantity of skeletal muscle on survival after resection of pancreatic cancer. Surgery. 2015;157: 1088–1098. pmid:25799468.
- 10. Peng P, Hyder O, Firoozmand A, Kneuertz P, Schulick RD, Huang D, et al. Impact of sarcopenia on outcomes following resection of pancreatic adenocarcinoma. J Gastrointest Surg. 2012;16: 1478–1486. pmid:22692586; PubMed Central PMCID: PMC3578313.
- 11. Coussens LM, Werb Z. Inflammation and cancer. Nature. 2002;420: 860–867. pmid:12490959; PubMed Central PMCID: PMC2803035.
- 12. Proctor MJ, Talwar D, Balmar SM, O’Reilly DS, Foulis AK, Horgan PG, et al. The relationship between the presence and site of cancer, an inflammation-based prognostic score and biochemical parameters. Initial results of the Glasgow Inflammation Outcome Study. Br J Cancer. 2010;103: 870–876. pmid:20717110; PubMed Central PMCID: PMC2966631.
- 13. Xiao GQ, Liu C, Liu DL, Yang JY, Yan LN. Neutrophil-lymphocyte ratio predicts the prognosis of patients with hepatocellular carcinoma after liver transplantation. World J Gastroenterol. 2013;19: 8398–8407. pmid:24363533; PubMed Central PMCID: PMC3857465.
- 14. Tian XC, Zeng FR, Wu DH. Platelet-to-lymphocyte ratio: a prognostic factor for patients with advanced hepatocellular carcinoma? Tumour Biol. 2015;36: 4935–4936. pmid:26025113.
- 15. Chan AW, Chan SL, Wong GL, Wong VW, Chong CC, Lai PB, et al. Prognostic nutritional index (PNI) predicts tumor recurrence of very early/early stage hepatocellular carcinoma after surgical resection. Ann Surg Oncol. 2015;22: 4138–4148. pmid:25801356.
- 16. Fairclough E, Cairns E, Hamilton J, Kelly C. Evaluation of a modified early warning system for acute medical admissions and comparison with C-reactive protein/albumin ratio as a predictor of patient outcome. Clin Med (Lond). 2009;9: 30–33. pmid:19271597; PubMed Central PMCID: PMC5922628.
- 17. La Torre M, Nigri G, Cavallini M, Mercantini P, Ziparo V, Ramacciato G. The glasgow prognostic score as a predictor of survival in patients with potentially resectable pancreatic adenocarcinoma. Ann Surg Oncol. 2012;19: 2917–2923. pmid:22488099.
- 18. Bhatti I, Peacock O, Lloyd G, Larvin M, Hall RI. Preoperative hematologic markers as independent predictors of prognosis in resected pancreatic ductal adenocarcinoma: neutrophil-lymphocyte versus platelet-lymphocyte ratio. Am J Surg. 2010;200: 197–203. pmid:20122680.
- 19. Smith RA, Bosonnet L, Raraty M, Sutton R, Neoptolemos JP, Campbell F, et al. Preoperative platelet-lymphocyte ratio is an independent significant prognostic marker in resected pancreatic ductal adenocarcinoma. Am J Surg. 2009;197: 466–472. pmid:18639229.
- 20. Kanda M, Fujii T, Kodera Y, Nagai S, Takeda S, Nakao A. Nutritional predictors of postoperative outcome in pancreatic cancer. Br J Surg. 2011;98: 268–274. pmid:20960457.
- 21. Wu M, Guo J, Guo L, Zuo Q. The C-reactive protein/albumin ratio predicts overall survival of patients with advanced pancreatic cancer. Tumour Biol. 2016;37: 12525–12533. pmid:27344157; PubMed Central PMCID: PMC5080377.
- 22. Bano G, Trevisan C, Carraro S, Solmi M, Luchini C, Stubbs B, et al. Inflammation and sarcopenia: A systematic review and meta-analysis. Maturitas. 2017;96: 10–15. pmid:28041587.
- 23. Kim H, Choi HZ, Choi JM, Kang BM, Lee JW, Hwang JW. Sarcopenia with systemic inflammation can predict survival in patients with hepatocellular carcinoma undergoing curative resection. J Gastrointest Oncol. 2022;13: 744–753. pmid:35557594; PubMed Central PMCID: PMC9086026.
- 24. Peng H, Tan X. The prognostic significance of sarcopenia and the neutrophil-to-lymphocyte ratio in elderly patients with esophageal squamous cell carcinoma. Cancer Manag Res. 2021;13: 3209–3218. pmid:33880063; PubMed Central PMCID: PMC8053530.
- 25. Feliciano EMC, Kroenke CH, Meyerhardt JA, Prado CM, Bradshaw PT, Kwan ML, et al. Association of systemic inflammation and sarcopenia with survival in nonmetastatic colorectal cancer: results from the C SCANS study. JAMA Oncol. 2017;3: e172319. pmid:28796857; PubMed Central PMCID: PMC5824285.
- 26. Tempero MA, Malafa MP, Al-Hawary M, Behrman SW, Benson AB, Cardin DB, et al. Pancreatic adenocarcinoma, version 2.2021, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 2021;19: 439–457. pmid:33845462.
- 27. Walsh SR, Cook EJ, Goulder F, Justin TA, Keeling NJ. Neutrophil-lymphocyte ratio as a prognostic factor in colorectal cancer. J Surg Oncol. 2005;91: 181–184. pmid:16118772.
- 28. Onodera T, Goseki N, Kosaki G. [Prognostic nutritional index in gastrointestinal surgery of malnourished cancer patients]. Nihon Geka Gakkai Zasshi. 1984;85: 1001–1005. pmid:6438478.
- 29. Clavien PA, Barkun J, de Oliveira ML, Vauthey JN, Dindo D, Schulick RD, et al. The Clavien-Dindo classification of surgical complications: five-year experience. Ann Surg. 2009;250: 187–196. pmid:19638912.
- 30. Bassi C, Dervenis C, Butturini G, Fingerhut A, Yeo C, Izbicki J, et al. Postoperative pancreatic fistula: an international study group (ISGPF) definition. Surgery. 2005;138: 8–13. pmid:16003309.
- 31. Pratt WB, Callery MP, Vollmer CM Jr. The latent presentation of pancreatic fistulas. Br J Surg. 2009;96: 641–649. pmid:19434658.
- 32. Yamada D, Kobayashi S, Takahashi H, Akita H, Yamada T, Asaoka T, et al. Randomized phase II study of gemcitabine and S-1 combination therapy versus gemcitabine and nanoparticle albumin-bound paclitaxel combination therapy as neoadjuvant chemotherapy for resectable/borderline resectable pancreatic ductal adenocarcinoma (PDAC-GS/GA-rP2, CSGO-HBP-015). Trials. 2021;22: 568. pmid:34446057; PubMed Central PMCID: PMC8394677.
- 33. Motoi F, Satoi S, Honda G, Wada K, Shinchi H, Matsumoto I, et al. A single-arm, phase II trial of neoadjuvant gemcitabine and S1 in patients with resectable and borderline resectable pancreatic adenocarcinoma: PREP-01 study. J Gastroenterol. 2019;54: 194–203. pmid:30182219.
- 34. Motoi F, Kosuge T, Ueno H, Yamaue H, Satoi S, Sho M, et al. Randomized phase II/III trial of neoadjuvant chemotherapy with gemcitabine and S-1 versus upfront surgery for resectable pancreatic cancer (Prep-02/JSAP05). Jpn J Clin Oncol. 2019;49: 190–194. pmid:30608598.
- 35. Uesaka K, Boku N, Fukutomi A, Okamura Y, Konishi M, Matsumoto I, et al. Adjuvant chemotherapy of S-1 versus gemcitabine for resected pancreatic cancer: a phase 3, open-label, randomised, non-inferiority trial (JASPAC 01). Lancet. 2016;388: 248–257. pmid:27265347.
- 36. Kouba R. [Intestine plication. Opinion on the contribution of H. Merguet, Technical modification of the mesenterial plication by the Noble-Child method in "Der Chirurg" 44,308–10 (1973)]. Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen. 1974;45: 272–273. pmid:4605757.
- 37. Kawakatsu S, Inoue Y, Mise Y, Ishizawa T, Ito H, Takahashi Y, et al. Comparison of pancreatojejunostomy techniques in patients with a soft pancreas: Kakita anastomosis and Blumgart anastomosis. BMC Surg. 2018;18: 88. pmid:30355352; PubMed Central PMCID: PMC6201584.
- 38. Youden WJ. Index for rating diagnostic tests. Cancer. 1950;3: 32–35. pmid:15405679.
- 39. Hopkinson JB, Wright DN, McDonald JW, Corner JL. The prevalence of concern about weight loss and change in eating habits in people with advanced cancer. J Pain Symptom Manage. 2006;32: 322–231. pmid:17000349.
- 40. Gullett NP, Mazurak VC, Hebbar G, Ziegler TR. Nutritional interventions for cancer-induced cachexia. Curr Probl Cancer. 2011;35: 58–90. pmid:21420558; PubMed Central PMCID: PMC3106221.
- 41. Fearon K, Strasser F, Anker SD, Bosaeus I, Bruera E, Fainsinger RL, et al. Definition and classification of cancer cachexia: an international consensus. Lancet Oncol. 2011;12: 489–495. pmid:21296615.
- 42. Mintziras I, Miligkos M, Wachter S, Manoharan J, Maurer E, Bartsch DK. Sarcopenia and sarcopenic obesity are significantly associated with poorer overall survival in patients with pancreatic cancer: Systematic review and meta-analysis. Int J Surg. 2018;59: 19–26. pmid:30266663.
- 43. Elinav E, Nowarski R, Thaiss CA, Hu B, Jin C, Flavell RA. Inflammation-induced cancer: crosstalk between tumours, immune cells and microorganisms. Nat Rev Cancer. 2013;13: 759–771. pmid:24154716.
- 44. Liu Z, Jin K, Guo M, Long J, Liu L, Liu C, et al. Prognostic value of the CRP/Alb ratio, a novel inflammation-based score in pancreatic cancer. Ann Surg Oncol. 2017;24: 561–568. pmid:27650825.
- 45. Xie Q, Wang L, Zheng S. Prognostic and clinicopathological significance of C-reactive protein to albumin ratio in patients with pancreatic cancer: a meta-analysis. Dose Response. 2020;18: 1559325820931290. pmid:32647499; PubMed Central PMCID: PMC7328220.
- 46. Sciarra A, Gentilucci A, Salciccia S, Pierella F, Del Bianco F, Gentile V, et al. Prognostic value of inflammation in prostate cancer progression and response to therapeutic: a critical review. J Inflamm (Lond). 2016;13: 35. pmid:27924136; PubMed Central PMCID: PMC5123292.
- 47. Fang Y, Xu C, Wu P, Zhang LH, Li DW, Sun JH, et al. Prognostic role of C-reactive protein in patients with nasopharyngeal carcinoma: a meta-analysis and literature review. Medicine (Baltimore). 2017;96: e8463. pmid:29137033; PubMed Central PMCID: PMC5690726.
- 48. Woo HD, Kim K, Kim J. Association between preoperative C-reactive protein level and colorectal cancer survival: a meta-analysis. Cancer Causes Control. 2015;26: 1661–1670. pmid:26376895.
- 49. Yamashita K, Ushiku H, Katada N, Hosoda K, Moriya H, Mieno H, et al. Reduced preoperative serum albumin and absence of peritoneal dissemination may be predictive factors for long-term survival with advanced gastric cancer with positive cytology test. Eur J Surg Oncol. 2015;41: 1324–1332. pmid:26251341.
- 50. Wu N, Chen G, Hu H, Pang L, Chen Z. Low pretherapeutic serum albumin as a risk factor for poor outcome in esophageal squamous cell carcinomas. Nutr Cancer. 2015;67: 481–485. pmid:25706773.
- 51. Seaton K. Albumin concentration controls cancer. J Natl Med Assoc. 2001;93: 490–493. pmid:11800279; PubMed Central PMCID: PMC2594053.
- 52. Sonnenschein C, Soto AM, Michaelson CL. Human serum albumin shares the properties of estrocolyone-I, the inhibitor of the proliferation of estrogen-target cells. J Steroid Biochem Mol Biol. 1996;59: 147–154. pmid:9010329.
- 53. McMillan DC, Watson WS, O’Gorman P, Preston T, Scott HR, McArdle CS. Albumin concentrations are primarily determined by the body cell mass and the systemic inflammatory response in cancer patients with weight loss. Nutr Cancer. 2001;39: 210–213. pmid:11759282.
- 54. Fearon KC, Falconer JS, Slater C, McMillan DC, Ross JA, Preston T. Albumin synthesis rates are not decreased in hypoalbuminemic cachectic cancer patients with an ongoing acute-phase protein response. Ann Surg. 1998;227: 249–254. pmid:9488524; PubMed Central PMCID: PMC1191243.
- 55. Kantola T, Klintrup K, Vayrynen JP, Vornanen J, Bloigu R, Karhu T, et al. Stage-dependent alterations of the serum cytokine pattern in colorectal carcinoma. Br J Cancer. 2012;107: 1729–1736. pmid:23059742; PubMed Central PMCID: PMC3493870.
- 56. Baracos VE. Regulation of skeletal-muscle-protein turnover in cancer-associated cachexia. Nutrition. 2000;16: 1015–1018. pmid:11054610.
- 57. Kalinkovich A, Livshits G. Sarcopenic obesity or obese sarcopenia: A cross talk between age-associated adipose tissue and skeletal muscle inflammation as a main mechanism of the pathogenesis. Ageing Res Rev. 2017;35: 200–221. pmid:27702700.
- 58. Lin J, Zhang W, Huang Y, Chen W, Wu R, Chen X, et al. Sarcopenia is associated with the neutrophil/lymphocyte and platelet/lymphocyte ratios in operable gastric cancer patients: a prospective study. Cancer Manag Res. 2018;10: 4935–4944. pmid:30464594; PubMed Central PMCID: PMC6208548.
- 59. Gonda K, Shibata M, Sato Y, Washio M, Takeshita H, Shigeta H, et al. Elevated neutrophil-to-lymphocyte ratio is associated with nutritional impairment, immune suppression, resistance to S-1 plus cisplatin, and poor prognosis in patients with stage IV gastric cancer. Mol Clin Oncol. 2017;7: 1073–1078. pmid:29285377; PubMed Central PMCID: PMC5740823.
- 60. Nakajima H, Yokoyama Y, Inoue T, Nagaya M, Mizuno Y, Kadono I, et al. Clinical benefit of preoperative exercise and nutritional therapy for patients undergoing hepato-pancreato-biliary surgeries for malignancy. Ann Surg Oncol. 2019;26: 264–272. pmid:30367303.
- 61. Benzo R, Wigle D, Novotny P, Wetzstein M, Nichols F, Shen RK, et al. Preoperative pulmonary rehabilitation before lung cancer resection: results from two randomized studies. Lung Cancer. 2011;74: 441–445. pmid:21663994; PubMed Central PMCID: PMC3191236.
- 62. Mayo NE, Feldman L, Scott S, Zavorsky G, Kim DJ, Charlebois P, et al. Impact of preoperative change in physical function on postoperative recovery: argument supporting prehabilitation for colorectal surgery. Surgery. 2011;150: 505–514. pmid:21878237.