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Dietary intake of branched-chain amino acids and pancreatic cancer risk in a case–control study from Italy

Published online by Cambridge University Press:  23 March 2022

Marta Rossi*
Affiliation:
Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via Celoria 22, 20133 Milan, Italy
Federica Turati
Affiliation:
Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via Celoria 22, 20133 Milan, Italy Department of Medicine, Università degli Studi di Udine, 33100 Udine, Italy
Panagiota Strikoudi
Affiliation:
Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via Celoria 22, 20133 Milan, Italy
Monica Ferraroni
Affiliation:
Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via Celoria 22, 20133 Milan, Italy
Maria Parpinel
Affiliation:
Department of Medicine, Università degli Studi di Udine, 33100 Udine, Italy
Diego Serraino
Affiliation:
Unit of Cancer Epidemiology, Centro di Riferimento Oncologico, National Cancer Institute, IRCCS, Aviano, Italy
Eva Negri
Affiliation:
Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via Celoria 22, 20133 Milan, Italy Department of Medical and Surgical Sciences, Alma Mater Studiorum – Università di Bologna, 40138 Bologna, Italy
Carlo La Vecchia
Affiliation:
Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via Celoria 22, 20133 Milan, Italy
*
*Corresponding author: Marta Rossi, email marta.rossi@unimi.it
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Abstract

Circulating branched-chain amino acids (BCAA), a subgroup of the nine essential amino acids, has been associated with pancreatic cancer risk. The aim of this study is to estimate the relation between BCAA intake from diet and pancreatic cancer risk. We analysed data from a multicentric Italian case–control study, including 326 pancreatic cancer cases and 652 controls, matched to cases by study centre, sex and age. A validated FFQ was used to collect the participants’ usual diet before cancer diagnosis (or hospital admission for controls) and to compute dietary intakes of various nutrients, including BCAA. OR and the corresponding CI were computed through logistic regression models conditioned on the matching variables and adjusted for major confounding factors, including total energy intake. We found a positive association between BCAA intake and pancreatic cancer risk (OR for the third quartile = 1·88, 95 % CI = 1·08, 3·26; OR for the fourth quartile = 2·17, 95 % CI = 1·17, 4·06), with a significant trend in risk. The association persisted after excluding subjects with diabetes and family history of pancreatic cancer and across strata of selected covariates. These data support and quantify the association between dietary BCAA and pancreatic cancer, previously suggested by studies on circulating BCAA.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Nutrition Society

Pancreatic cancer is a common cancer with poor prognosis, ranking as the fourth cause of cancer death in both sexes combined in the EU, and it is one of the few cancers for which mortality has not declined over the past three decades(Reference Sung, Ferlay and Siegel1,Reference Santucci, Carioli and Bertuccio2) . Tobacco smoking and diabetes are the best recognised risk factors for pancreatic cancer(Reference Kleeff, Korc and Apte3Reference Rosato, Polesel and Bosetti5). High alcohol intake was also associated with excess pancreatic cancer risk(Reference Lucenteforte, La Vecchia and Silverman6,Reference Tramacere, Scotti and Jenab7) . Some of the risk factors for this malignancy, such as obesity, high waist circumference and diabetes, are strongly related to diet(Reference Mizrahi, Surana and Valle8Reference Schlesinger, Neuenschwander and Schwedhelm13). A western dietary pattern, high in animal products and red meat, has been shown to increase pancreatic cancer risk(Reference Zheng, Guinter and Merchant14Reference Di Maso, Talamini and Bosetti16).

The branched-chain amino acids (BCAA), i.e. leucine, isoleucine and valine, are a subgroup of the nine essential amino acids. They derive from protein food sources, mainly animal food products such as meat, fish and dairy products(Reference Sivanand and Vander Heiden10,Reference de la, Zazpe and Ruiz-Canela17) .

BCAA have been associated with various cardiometabolic conditions such as type 2 diabetes, insulin resistance and adiposity(Reference de la, Zazpe and Ruiz-Canela17Reference Zheng, Li and Qi22). They have also been associated with the risk of selected cancers, including those of the colorectum and the breast(Reference Rossi, Mascaretti and Parpinel23Reference Zeleznik, Balasubramanian and Ren25). Three epidemiological studies investigated the relationship between BCAA and pancreatic cancer risk, reporting positive associations with circulating BCAA plasma levels, but no data were available on BCAA estimates from diet to date(Reference Tobias, Hazra and Lawler24,Reference Katagiri, Goto and Nakagawa26,Reference Mayers, Wu and Clish27) . In addition, in vivo and in vitro studies support the implication of BCAA in the development and progression of pancreatic cancer(Reference Lee, Cho and Kim28Reference Li, Yin and Wang30).

We analysed the relationship between dietary BCAA intake and pancreatic cancer risk in an Italian multicentric study.

Methods

We used data from a multicentric case–control study of pancreatic cancer, conducted between 1991 and 2008 in the province of Pordenone and in the greater Milan area, northern Italy(Reference Polesel, Talamini and Negri15). The study included 326 cases (174 men, 152 women, median age 63 years and range 34–80 years) with incident cancer of the pancreas. Eighty-four per cent of cases were interviewed within one month from diagnosis and the remaining cases within one year. Controls were 652 patients (348 men, 304 women, median age 63 years and range 34–80 years) admitted to the same teaching or general hospitals as cases for a wide spectrum of acute nonneoplastic conditions, unrelated with digestive tract diseases, smoking, alcohol consumption or long-term modifications of diet. Controls were hospitalised for traumatic orthopaedic disorders (31 %), other orthopaedic disorders (31 %), acute surgical conditions (28 %) and miscellaneous other illnesses (10 %), including eye, nose, ear, skin or dental disorders. Controls were frequency-matched to cases by study centre, sex and age (±5 years), with a control to case ratio of 2:1. Less than 5 % of the approached cases and controls refused to participate in the study. All enrolled subjects signed an informed consent, according to the recommendations of the Board of Ethics of each participating centre. All procedures were performed in accordance with the ethical standards according to the Declaration of Helsinki.

Cases and controls were interviewed in hospital by centrally trained interviewers, with the use of a standard, structured questionnaire. The questionnaire included information on socio-demographic and anthropometric factors at different ages, selected lifestyle habits, such as history of tobacco use, and physical activity, personal medical history of selected diseases including diabetes and family history of cancer in first-degree relatives.

For the dietary assessment during the years preceding cancer diagnosis or hospital admission, a validated and reproducible FFQ was used(Reference Franceschi, Negri and Salvini31,Reference Decarli, Franceschi and Ferraroni32) . Subjects were asked to indicate their average weekly consumption of seventy-eight food items, food groups or recipes. Data on history of consumption of alcoholic beverages were also collected in an additional section that includes five items (resulting in a total of eighty-three FFQ items).

We used an Italian food composition database to estimate total energy, nutrients, Ca, vitamin D and BCAA intake of study participants(Reference Gnagnarella, Parpinel and Salvini33,Reference Bravi, Polesel and Bosetti34) . Data on BCAA were available for leucine, isoleucine and valine. Given the high collinearity between leucine, isoleucine and valine (r∼1·00), we analysed total BCAA intake as the sum of their individual intakes.

BCAA intake was categorised into quartiles based on the distribution of controls, both directly on the BCAA intakes and on the residuals of the regression of BCAA on energy(Reference Willett and Stampfer35). Since both analyses yielded similar results, only findings from the first approach are presented. Using the lowest quartile as reference, OR of pancreatic cancer for BCAA quartiles and the corresponding 95 % CI were estimated by logistic regression models, conditioned on study centre, sex and age, and further adjusted for year of interview (continuous variable), years of education (< 7, 7–11, ≥ 12; categorically), BMI (< 22, 22–24·9, 25–29·9, ≥ 30 kg/m2; categorically), cigarette smoking (never smoker, former smoker, current smoker of < 15 and ≥ 15 cigarettes per day; categorically), history of diabetes (yes, no), family history of pancreatic cancer (yes, no), alcohol intake (never drinker, ever drinker of < 7, 7– 20·9 and ≥ 21 drinks per week; categorically) and total energy intake (tertiles; categorically). We also run unconditional regression models and found no appreciable changes in the OR estimates. Tests for trend were based on the likelihood ratio test between models with and without a linear term for BCAA. We further adjusted the OR by including in turn in the model terms for other dietary factors both correlated with BCAA intakes (r > 0·50) and previously associated to pancreatic cancer risk(Reference Polesel, Talamini and Negri15,Reference Bravi, Polesel and Bosetti34,36) , including vegetable protein (r∼0·69), total lipids (r∼0·77), fibre (r∼0·51), folate (r∼0·69), vitamin E (r∼0·56), vitamin D (r∼0·58), Ca (r∼0·74) intakes and red meat consumption (r∼0·64).

Sensitivity analyses were performed excluding in turn subjects with diabetes, with family history of pancreatic cancer and with outliers in energy intake (< 500 or ≥ 4000 kcal/d).

We computed the OR for BCAA quartiles in strata of sex, age (< 60 and ≥ 60 years), BMI (<25 and ≥ 25 m/kg2), smoking status (non and current smokers) and alcohol consumption (no or light: < 7, moderate: 7–20·9, heavy: ≥ 21 drinks/week). We estimated heterogeneity among strata through the likelihood ratio test comparing the models with and without interaction terms. We also computed OR for combined categories of BCAA intake and smoking status or alcohol drinking.

Results

Table 1 shows the distribution of 326 pancreatic cancer cases and 652 controls according to sex, age and other characteristics. By design, cases and controls had similar distributions for sex, age and centre. Cases were more frequently interviewed after 2000 than controls, but there was no cluster of cases and/or controls in any specific calendar year. Cases were more educated, more frequently smokers and reported more frequently a history of diabetes than controls.

Table 1. Distribution of 326 patients with pancreatic cancer and 652 control patients according to sex, age, education and other selected variables (Italy, 1991–2008)

* The sum does not add up to the total because of some missing values.

History of diabetes one year before cancer diagnosis.

Table 2 gives the number and percentage of cases and controls, the OR and their corresponding 95 % CI according to quartiles of BCAA intake, with the lowest quartile as reference category. We found a positive association between the BCAA intake and pancreatic cancer risk from the third quartile onward (OR for the third quartile = 1·88, 95 % CI = 1·08, 3·26; OR for the fourth quartile = 2·17, 95 % CI = 1·17, 4·06), with a significant trend in risk.

Table 2. Odds ratio (OR)* of pancreatic cancer and corresponding 95 % confidence interval (CI) according to quartiles of branched-chain amino acid (BCAA) intakes among 326 cases with pancreatic cancer and 652 controls (Italy, 1991–2008)

* Estimated through a logistic regression model, conditioned on age, centre and sex and adjusted for year of interview, education, BMI, diabetes, family history of pancreatic cancer, smoking, alcohol and total energy intake.

Based on the controls’ distribution.

Table 3 shows the OR for BCAA intake quartiles, compared with the lowest one, after adjustment in turn for selected dietary factors. Allowance for vegetable protein, lipids, fibre, folate, vitamin E, vitamin D and Ca intake, as well as for red meat consumption, did not appreciably modify the association.

Table 3. Odds ratio (OR)* of pancreatic cancer and corresponding 95 % confidence interval (CI) according to quartiles of branched-chain amino acid (BCAA) intake among 326 cases with pancreatic cancer and 652 controls after adjustment of selected dietary factors (Italy, 1991–2008)

* Estimated through a logistic regression model, conditioned on age, centre and sex and adjusted for year of interview, education, BMI, diabetes, family history of pancreatic cancer, smoking, alcohol, total energy intake and, in turn, intake of each dietary factor.

Control-generated quartiles.

Reference category.

After exclusion of forty-seven cases and thirty-seven controls with a history of diabetes, the OR for the highest quartile of BCAA intake compared with the lowest one slightly increased to 2·49 (95 % CI = 1·29, 4·83). Similarly, after the exclusion of ten cases and fifteen controls with family history of pancreatic cancer, the OR became 2·41 (95 % CI = 1·28, 4·55). When we excluded seventeen cases and nineteen controls with outliers in energy intake, the OR became 2·06 (95 % CI = 1·09, 3·88) (data not shown).

Table 4 shows the relation between BCAA intake and pancreatic cancer risk in strata of sex, age, BMI, smoking status and alcohol consumption. The associations were apparently stronger in men, young individuals, those with higher BMI, in smokers and subjects with higher alcohol intake, although in the absence of significant heterogeneity.

Table 4. Odd ratio (OR)* of pancreatic cancer and corresponding 95 % confidence interval (CI) for quartiles of branched-chain amino acid (BCAA) intakes among 326 cases with pancreatic cancer and 652 controls according to strata of selected covariates (Italy, 1991–2008)

* Estimated through logistic regression models, conditioned on age, centre, sex and adjusted for year of interview, education, family history of pancreatic cancer, BMI, diabetes, smoking, alcohol and total energy intake, unless the variable was the stratification factor.

Control-generated quartiles.

The sum does not add up to the total because of some missing values.

We also evaluated the combined effect of dietary BCAA exposure and lifestyle behaviours, such as tobacco status and alcohol consumption on pancreatic cancer risk (Fig. 1). Using as reference group non-smokers in the lowest two quartiles of BCAA intake (102 cases and 259 controls), the OR in the two highest quartiles of BCAA intake were 1·44 (95 % CI = 0·91, 2·30) among non-smokers (121 cases and 258 controls) and 3·64 (95 % CI = 1·97, 6·73) among current smokers of ≥ 15 cigarettes/d (forty-seven cases and forty controls) (Fig. 1(a)). Using as reference group never/light alcohol drinkers (0–< 7 drinks/week) in the first two quartiles of BCAA intake (fourty-eight cases and 133 controls), never/light alcohol drinkers in the two highest BCAA quartiles (thirty-nine cases and eighty-six controls) had an OR of 1·68 (95 % CI = 0·88, 3·20) and heavy alcohol drinkers (≥ 21 drinks/week) in the two highest BCAA quartiles (ninety cases and 119 controls) had an OR of 4·57 (95 % CI = 2·28, 9·15) (Fig. 1(b)).

Fig. 1. Odd ratios (OR)* and corresponding 95 % confidence interval (CI) according to combination of quartiles of branched-chain amino acid (BCAA) intake and smoking status (Panel A) or alcohol consumption (Panel B) among 326 cases with pancreatic cancer and 652 controls. Italy, 1991–2008.

Discussion

Our study found a positive association between total dietary BCAA intake and pancreatic cancer risk, after adjusting for several potential confounding factors, including tobacco smoking, BMI and history of diabetes and additional nutritional factors. The excess risk became substantial in combination with high tobacco or alcohol consumption.

To our knowledge, no previous study evaluated the relation between dietary BCAA intake and pancreatic cancer risk. Higher circulating BCAA levels have been positively associated with pancreatic cancer risk in different study populations. In a combined analysis on four large US cohorts, including 454 pancreatic cancer cases, elevated plasma levels of BCAA were associated with a twofold increased risk of pancreatic cancer. The OR in the highest quintile of total plasma BCAA compared with the lowest one was 2·01 (95 % CI, 1·34, 3·03)(Reference Mayers, Wu and Clish27). When authors considered separately BCAA plasma levels, they found similar OR for leucine (OR = 1·97; 95 % CI = 1·29, 2·99), isoleucine (OR = 2·00; 95 % CI = 1·31, 3·05) and valine (OR = 1·90, 95 % CI = 1·28, 2·81). Interestingly, the strongest associations between BCAA levels and pancreatic cancer risk were found in subjects with blood samples collected 2 to 5 years before diagnosis (OR for total BCAA = 4·34; 95 % CI = 1·82, 10·35) compared with more than 5 years(Reference Mayers, Wu and Clish27). In a nested case–control study within the Japan Public Health Center-based prospective study, including 170 cases of pancreatic cancer, the OR for the highest serum BCAA quartile, compared with the lowest one, was 2·43 (95 % CI = 1·21, 4·90)(Reference Katagiri, Goto and Nakagawa26). The OR were 2·14 (95 % CI = 1·10, 4·15) for leucine and 2·89 (95 % CI = 1·43, 5·84) for valine. In the longitudinal Women’s Health Study cohort of 26 711 US women including seventy-four cases of pancreatic cancer, circulating total BCAA were marginally associated with pancreatic cancer risk (hazard ratio, per one standard deviation = 1·24; 95 % CI = 0·98, 1·57)(Reference Tobias, Hazra and Lawler24). The hazard ratio were 1·27 (95 % CI = 0·99, 1·64) for leucine, 1·31 (95 % CI = 1·01, 1·07) for isoleucine and 1·13 (95 % CI = 0·89, 1·43) for valine(Reference Tobias, Hazra and Lawler24). We were not able to investigate individual BCAA, given the high collinearity of their intakes in our data. Comparing findings from circulating BCAA levels and dietary intakes needs caution considering the low agreement found between these measures(Reference Iwasaki, Ishihara and Takachi37). However, our results are in line with previous studies on circulating BCAA, providing further evidence for a positive association between leucine, isoleucine and valine and pancreatic cancer risk.

Different mechanisms have been implicated for this association. In a murine model of pancreatic cancer, leucine supplementation reduced glucose clearance in obese mice with subsequent increase in circulating glucose enhancing pancreatic tumour growth(Reference Liu, Lashinger and Rasmussen29). Moreover, pancreatic tumour tissues showed increased BCAA uptake through solute carrier transporters(Reference Lee, Cho and Kim28). Knockdown of the key enzymes in BCAA catabolism, BCAT2 and BCKDHA inhibited pancreatic ductal adenocarcinoma cell proliferation by regulating lipogenesis that has been shown to be increased in proliferative cells, which need high levels of fatty acids for the generation of the cell membranes. In an animal study, KRAS mutation, a signature marker occurring in more than 90 % adenocarcinomas of pancreas, was found to be positively correlated with BCAT2 protein level(Reference Li, Yin and Wang30). In the same study, pancreatic cancer cells consumed 1·5 to 2·5 times more BCAA than normal cells(Reference Li, Yin and Wang30).

Major food sources of BCAA intake in our data were red meat (26 %), dairy products (13 %), poultry (12 %) and fish (7 %). In these data, red meat and cheese were positively associated with pancreatic cancer risk (OR for high v. low consumption = 1·99, 95 % CI = 1·18, 3·36 and OR = 1·90, 95 % CI = 1·12, 3·19, respectively), whereas no association was found for poultry (OR = 0·91; 95 % CI = 0·70, 1·58) and fish (OR = 1·05; 95 % CI = 0·71, 1·56)(Reference Polesel, Talamini and Negri15,Reference Di Maso, Talamini and Bosetti16) . Several studies have shown positive associations between red meat and pancreatic cancer risk(36,Reference Chan, Wang and Holly38) . Also, dietary patterns with low intake of animal protein such as the Mediterranean diet(Reference Bosetti, Turati and Dal Pont39) or a posteriori-derived healthy dietary pattern (non-western type diet)(Reference Zheng, Guinter and Merchant14,Reference Chan, Gong and Holly40) have been shown to exert a protective effect on the risk of pancreatic cancer. Since in our population BCAA intake mainly derived from animal food sources with a small contribution from fish consumption, it would be of interest to evaluate the relation between BCAA intake and pancreatic cancer risk in populations with a high consumption of fish, such as the Nordic countries or Japan. However, in this study, further allowance for dietary factors correlated with BCAA affected only weakly, if at all, the OR estimates. This suggests that BCAA are at least in part responsible for the detrimental effects observed by diets rich in these components, such as the western diet.

In a study of colorectal cancer, we reported no association with BCAA intake, but BCAA were related to a reduced risk of sigmoid cancer(Reference Rossi, Mascaretti and Parpinel23). This confirms that nutritional risk factors for pancreatic cancer were at least in part different from those of colorectal cancer(Reference Kleeff, Korc and Apte3).

Limitations of the study are generial concerns about hospital-based case–control studies(Reference Breslow and Day41). Selection bias cannot be excluded, and dietary habits of hospital controls may differ from the general population, but we excluded from the control group all subjects diagnosed with conditions associated with long-term dietary modifications. We had information on tumour, nodes and metastasis (TNM) on a limited number of cancers. Most of these were advanced cases. Thus, our study refers essentially to advanced pancreatic cancer, though there is no consistent evidence that risk factors are appreciably different for early v. late pancreatic cancer(Reference Kleeff, Korc and Apte3). Among the strengths of the study there is the large sample and the fact that cases and controls were from comparable catchment areas and interviewed in a similar setting. Moreover, the almost complete participation is reassuring in terms of potential selection bias. We used a satisfactorily reproducible and valid FFQ, with r values for BCAA food sources between 0·6 and 0·7(Reference Franceschi, Negri and Salvini31,Reference Decarli, Franceschi and Ferraroni32) . Dietary information refers to the habitual diet in the years before diagnosis or hospital admission, limiting bias due to reverse causation. Recall bias can be influenced by a recent diagnosis of cancer but remains unlikely, given the scanty knowledge by the Italian population on a link between diet and pancreatic cancer risk at the time of information collection.

We controlled for major confounders, including smoking, BMI and diabetes. All participants were Caucasian; thus, race/ethnicity cannot confound results in this study. We were not able to adjust for chronic pancreatitis, which is a known risk factor for pancreatic cancer, but it accounts for a minor proportion of cases only(Reference Kleeff, Korc and Apte3). Lack of blood samples can be another limitation, as we were not able to estimate the variability between BCAA from diet and circulating levels of BCAA, and to compare their effects on pancreatic cancer risk estimates.

The observed association was consistent in sensitivity analyses excluding in turn subjects with diabetes, family history of pancreatic cancer and outliers in energy intake. In addition, the association was consistent across strata of several covariates, though possibly stronger in heavy alcohol drinkers and tobacco smokers. The combination of high BCAA intake with heavy smoking or heavy drinking is compatible with a multiplicative effect of the two exposures, leading to excessively high OR for subjects heavily exposed to smoking or alcohol in addition to BCAA.

Taking into account the still rising rates and fatality of this aggressive cancer and the absence of non-invasive screening tools to date(Reference Kleeff, Korc and Apte3), approaches to improve primary prevention and early diagnosis, such as dietary guidelines or tests based on specific metabolites, are warranted. Our results on BCAA point in that direction, but they need further confirmation.

Acknowledgements

No funding to declare.

Conception and design: M. R. and C. L. V.; collection of data: M. F., D. S., E. N. and C. L. V.; analysis of data: M. R., F. T. and P. S.; drafting the manuscript: M. R. and P. S. All authors contributed to data interpretation, critical revision and final approval of the manuscript.

There are no conflicts of interest.

Supplementary material

For supplementary material/s referred to in this article, please visit https://doi.org/10.1017/S0007114522000939

References

Sung, H, Ferlay, J, Siegel, RL, etal. (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71, 209249.CrossRefGoogle ScholarPubMed
Santucci, C, Carioli, G, Bertuccio, P, etal. (2020) Progress in cancer mortality, incidence, and survival: a global overview. Eur J Cancer Prev 29, 367381.CrossRefGoogle ScholarPubMed
Kleeff, J, Korc, M, Apte, M, etal. (2016) Pancreatic cancer. Nat Rev Dis Primers 2, 16022.CrossRefGoogle ScholarPubMed
Chen, X, Yi, B, Liu, Z, etal. (2020) Global, regional and national burden of pancreatic cancer, 1990 to 2017: results from the Global Burden of Disease Study 2017. Pancreatology 20, 462469.CrossRefGoogle ScholarPubMed
Rosato, V, Polesel, J, Bosetti, C, etal. (2015) Population attributable risk for pancreatic cancer in Northern Italy. Pancreas 44, 216220.CrossRefGoogle ScholarPubMed
Lucenteforte, E, La Vecchia, C, Silverman, D, etal. (2012) Alcohol consumption and pancreatic cancer: a pooled analysis in the International Pancreatic Cancer Case-Control Consortium (PanC4). Ann Oncol 23, 374382.CrossRefGoogle Scholar
Tramacere, I, Scotti, L, Jenab, M, etal. (2010) Alcohol drinking and pancreatic cancer risk: a meta-analysis of the dose-risk relation. Int J Cancer 126, 14741486.Google Scholar
Mizrahi, JD, Surana, R, Valle, JW, etal. (2020) Pancreatic cancer. Lancet 395, 20082020.CrossRefGoogle ScholarPubMed
Rossi, M, Negri, E, Bosetti, C, etal. (2008) Mediterranean diet in relation to body mass index and waist-to-hip ratio. Public Health Nutr 11, 214217.CrossRefGoogle ScholarPubMed
Sivanand, S & Vander Heiden, MG (2020) Emerging roles for branched-chain amino acid metabolism in cancer. Cancer Cell 37, 147156.CrossRefGoogle ScholarPubMed
Agnoli, C, Sieri, S, Ricceri, F, etal. (2018) Adherence to a Mediterranean diet and long-term changes in weight and waist circumference in the EPIC-Italy cohort. Nutr Diabetes 8, 22.CrossRefGoogle ScholarPubMed
Rossi, M, Turati, F, Lagiou, P, etal. (2013) Mediterranean diet and glycaemic load in relation to incidence of type 2 diabetes: results from the Greek cohort of the population-based European Prospective Investigation into Cancer and Nutrition (EPIC). Diabetologia 56, 24052413.CrossRefGoogle ScholarPubMed
Schlesinger, S, Neuenschwander, M, Schwedhelm, C, etal. (2019) Food groups and risk of overweight, obesity, and weight gain: a systematic review and dose-response meta-analysis of prospective studies. Adv Nutr 10, 205218.CrossRefGoogle ScholarPubMed
Zheng, J, Guinter, MA, Merchant, AT, etal. (2017) Dietary patterns and risk of pancreatic cancer: a systematic review. Nutr Rev 75, 883908.CrossRefGoogle ScholarPubMed
Polesel, J, Talamini, R, Negri, E, etal. (2010) Dietary habits and risk of pancreatic cancer: an Italian case-control study. Cancer Causes Control 21, 493500.CrossRefGoogle ScholarPubMed
Di Maso, M, Talamini, R, Bosetti, C, etal. (2013) Red meat and cancer risk in a network of case-control studies focusing on cooking practices. Ann Oncol 24, 31073112.CrossRefGoogle Scholar
de la, OV, Zazpe, I & Ruiz-Canela, M (2020) Effect of branched-chain amino acid supplementation, dietary intake and circulating levels in cardiometabolic diseases: an updated review. Curr Opin Clin Nutr Metab Care 23, 3550.CrossRefGoogle Scholar
McCormack, SE, Shaham, O, McCarthy, MA, etal. (2013) Circulating branched-chain amino acid concentrations are associated with obesity and future insulin resistance in children and adolescents. Pediatr Obes 8, 5261.CrossRefGoogle ScholarPubMed
Newgard, CB, An, J, Bain, JR, etal. (2009) A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab 9, 311326.CrossRefGoogle ScholarPubMed
Guasch-Ferre, M, Hruby, A, Toledo, E, etal. (2016) Metabolomics in prediabetes and diabetes: a systematic review and meta-analysis. Diabetes Care 39, 833846.CrossRefGoogle ScholarPubMed
Tobias, DK, Clish, C, Mora, S, etal. (2018) Dietary intakes and circulating concentrations of branched-chain amino acids in relation to incident type 2 diabetes risk among high-risk women with a history of gestational diabetes mellitus. Clin Chem 64, 12031210.CrossRefGoogle ScholarPubMed
Zheng, Y, Li, Y, Qi, Q, etal. (2016) Cumulative consumption of branched-chain amino acids and incidence of type 2 diabetes. Int J Epidemiol 45, 14821492.CrossRefGoogle ScholarPubMed
Rossi, M, Mascaretti, F, Parpinel, M, etal. (2021) Dietary intake of branched-chain amino acids and colorectal cancer risk. Br J Nutr 126, 2227.CrossRefGoogle ScholarPubMed
Tobias, DK, Hazra, A, Lawler, PR, etal. (2020) Circulating branched-chain amino acids and long-term risk of obesity-related cancers in women. Sci Rep 10, 16534.CrossRefGoogle ScholarPubMed
Zeleznik, OA, Balasubramanian, R, Ren, Y, etal. (2020) Branched chain amino acids and risk of breast cancer. medRxiv 5, pkab059.Google Scholar
Katagiri, R, Goto, A, Nakagawa, T, etal. (2018) Increased levels of branched-chain amino acid associated with increased risk of pancreatic cancer in a prospective case-control study of a large cohort. Gastroenterology 155, 14741482.e1471.CrossRefGoogle Scholar
Mayers, JR, Wu, C, Clish, CB, etal. (2014) Elevation of circulating branched-chain amino acids is an early event in human pancreatic adenocarcinoma development. Nat Med 20, 11931198.CrossRefGoogle ScholarPubMed
Lee, JH, Cho, YR, Kim, JH, etal. (2019) Branched-chain amino acids sustain pancreatic cancer growth by regulating lipid metabolism. Exp Mol Med 51, 111.Google ScholarPubMed
Liu, KA, Lashinger, LM, Rasmussen, AJ, etal. (2014) Leucine supplementation differentially enhances pancreatic cancer growth in lean and overweight mice. Cancer Metab 2, 6.CrossRefGoogle ScholarPubMed
Li, JT, Yin, M, Wang, D, etal. (2020) BCAT2-mediated BCAA catabolism is critical for development of pancreatic ductal adenocarcinoma. Nat Cell Biol 22, 167174.CrossRefGoogle ScholarPubMed
Franceschi, S, Negri, E, Salvini, S, etal. (1993) Reproducibility of an Italian food frequency questionnaire for cancer studies: results for specific food items. Eur J Cancer 29A, 22982305.CrossRefGoogle ScholarPubMed
Decarli, A, Franceschi, S, Ferraroni, M, etal. (1996) Validation of a food-frequency questionnaire to assess dietary intakes in cancer studies in Italy. Results for specific nutrients. Ann Epidemiol 6, 110118.CrossRefGoogle ScholarPubMed
Gnagnarella, P, Parpinel, M, Salvini, S, etal. (2004) The update of the Italian Food Composition Database. J Food Compos Anal 17, 509522.CrossRefGoogle Scholar
Bravi, F, Polesel, J, Bosetti, C, etal. (2011) Dietary intake of selected micronutrients and the risk of pancreatic cancer: an Italian case-control study. Ann Oncol 22, 202206.CrossRefGoogle ScholarPubMed
Willett, W, Stampfer, MJ (1986) Total energy intake: implications for epidemiologic analyses. Am J Epidemiol 124, 1727.CrossRefGoogle ScholarPubMed
Research WCRF (2018) Diet, Nutrition, Physical Activity and Pancreatic Cancer. Continuous Update Project Expert Report. https://www.dietandcancerreport.org (accessed September 2021).Google Scholar
Iwasaki, M, Ishihara, J, Takachi, R, etal. (2016) Validity of a self-administered food-frequency questionnaire for assessing amino acid intake in Japan: comparison with intake from 4-day weighed dietary records and plasma levels. J Epidemiol 26, 3644.CrossRefGoogle ScholarPubMed
Chan, JM, Wang, F & Holly, EA (2007) Pancreatic cancer, animal protein and dietary fat in a population-based study, San Francisco Bay Area, California. Cancer Causes Control 18, 11531167.CrossRefGoogle Scholar
Bosetti, C, Turati, F, Dal Pont, A, etal. (2013) The role of Mediterranean diet on the risk of pancreatic cancer. Br J Cancer 109, 13601366.CrossRefGoogle ScholarPubMed
Chan, JM, Gong, Z, Holly, EA, etal. (2013) Dietary patterns and risk of pancreatic cancer in a large population-based case-control study in the San Francisco Bay Area. Nutr Cancer 65, 157164.CrossRefGoogle Scholar
Breslow, NE & Day, NE (1980) Statistical Methods in Cancer Research. The Analysis of Casse–Control Studies. Lyon: IARC.Google ScholarPubMed
Figure 0

Table 1. Distribution of 326 patients with pancreatic cancer and 652 control patients according to sex, age, education and other selected variables (Italy, 1991–2008)

Figure 1

Table 2. Odds ratio (OR)* of pancreatic cancer and corresponding 95 % confidence interval (CI) according to quartiles† of branched-chain amino acid (BCAA) intakes among 326 cases with pancreatic cancer and 652 controls (Italy, 1991–2008)

Figure 2

Table 3. Odds ratio (OR)* of pancreatic cancer and corresponding 95 % confidence interval (CI) according to quartiles† of branched-chain amino acid (BCAA) intake among 326 cases with pancreatic cancer and 652 controls after adjustment of selected dietary factors (Italy, 1991–2008)

Figure 3

Table 4. Odd ratio (OR)* of pancreatic cancer and corresponding 95 % confidence interval (CI) for quartiles† of branched-chain amino acid (BCAA) intakes among 326 cases with pancreatic cancer and 652 controls according to strata of selected covariates (Italy, 1991–2008)

Figure 4

Fig. 1. Odd ratios (OR)* and corresponding 95 % confidence interval (CI) according to combination of quartiles of branched-chain amino acid (BCAA) intake and smoking status (Panel A) or alcohol consumption (Panel B) among 326 cases with pancreatic cancer and 652 controls. Italy, 1991–2008.

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