Serum Immunoglobulin G Is Associated With Decreased Risk of Pancreatic Cancer in the Swedish AMORIS Study

Sollie, Sam; Santaolalla, Aida; Michaud, Dominique S.; Sarker, Debashis; Karagiannis, Sophia N.; Josephs, Debra H.; Hammar, Niklas; Walldius, Göran; Garmo, Hans; Holmberg, Lars; Jungner, Ingmar; Hemelrijck, Mieke Van

doi:10.3389/fonc.2020.00263

Cited by 8 publications

(10 citation statements)

References 60 publications

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“…Moreover, the evidence for an inverse association between pre-diagnostic serum IgG level and the risk of developing melanoma or pancreatic cancer was found in the Swedish Apolipoprotein-related MORtality RISk (AMORIS) cohort study. The humoral response might provide a protective role against the development of melanoma or pancreatic cancer, mediated through IgG [19,37]. In the current study, we revealed that a higher IgG level was not only an independent prognostic factor, but was also associated with better OS in TSCC patients (HR = 0.385; 95% CI: 0.176-0.840; P = 0.017).…”

Section: Discussionsupporting

confidence: 49%

“…For example, higher pre-treatment lymphocyte-to-monocyte ratio (LMR) have been shown to be associated with a better prognosis in various tumors [15][16][17][18]. And the lower immunoglobulin G (IgG) levels predicted an elevated risk of developing pancreatic cancer compared to the reference levels [19]. Thus, the current study aims to establish a nomogram to predict TSCC patient's outcome based on clinical characteristics and serological in ammation markers which are easy to obtain from routine admission laboratory tests, and assesses the performance of the nomogram with internal validation using a bootstrap resampling method.…”

Section: Introductionmentioning

confidence: 99%

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Nomogram Based On Clinical Characteristics and Serological Inflammation Markers To Predict Overall Survival of Tongue Squamous Cell Carcinoma Patient After Surgery

Lin¹,

Kang²,

Huang³

et al. 2021

Preprint

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Background Tongue squamous cell carcinoma (TSCC) is a prevalent malignant disease that is characterized by high rates of metastasis and postoperative recurrence. The aim of this study was to establish a nomogram to predict the outcome of TSCC patients after surgery. Methods We retrospectively analyzed 169 TSCC patients who underwent treatments in the Cancer Hospital of Shantou University Medical College from 2008 to 2019. The Cox regression analysis was performed to determine the independent prognostic factors associated with patient’s overall survival (OS). A nomogram based on these prognostic factors was established and internally validated using a bootstrap resampling method. Results Multivariate Cox regression analysis revealed the independent prognostic factors for OS were TNM stage, age, lymphocyte-to-monocyte ratio and immunoglobulin G, all of which were identified to create the nomogram. The Akaike Information Criterion and Bayesian Information Criterion of the nomogram were lower than those of TNM stage (292.222 vs. 305.480; 298.444 vs. 307.036, respectively), indicating a better goodness-of-fit of the nomogram for predicting OS. The bootstrap-corrected of concordance index (C-index) of nomogram was 0.784 (95% CI: 0.708–0.860), which was higher than that of TNM stage (0.685, 95% CI: 0.603–0.767, P = 0.017). The results of time-dependent C-index for OS also showed that the nomogram had a better discriminative ability than that of TNM stage. The calibration curves of the nomogram showed good consistency between the probabilities and observed values. The decision curve analysis also revealed the potential clinical usefulness of the nomogram. Based on the cutoff value obtained from the nomogram, the proposed high-risk group had poorer OS than low-risk group (P < 0.0001). Conclusions The nomogram based on clinical characteristics and serological inflammation markers might be useful for outcome prediction of TSCC patient.

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Section: Discussionsupporting

confidence: 49%

Section: Introductionmentioning

confidence: 99%

Nomogram Based On Clinical Characteristics and Serological Inflammation Markers To Predict Overall Survival of Tongue Squamous Cell Carcinoma Patient After Surgery

Lin¹,

Kang²,

Huang³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Moreover, the evidence for an inverse association between pre-diagnostic serum IgG level and the risk of developing melanoma or pancreatic cancer was found in the Swedish Apolipoprotein-related MORtality RISk (AMORIS) cohort study. The humoral response might provide a protective role against the development of melanoma or pancreatic cancer, mediated through IgG [ 19 , 37 ]. In the current study, we revealed that a higher IgG level was not only an independent prognostic factor, but was also associated with better OS in OTSCC patients (HR = 0.385; 95% CI 0.176–0.840; P = 0.017).…”

Section: Discussionmentioning

confidence: 99%

“…For example, higher pre-treatment lymphocyte-to-monocyte ratio (LMR) have been shown to be associated with a better prognosis in various tumors [ 15 – 18 ]. And the lower immunoglobulin G (IgG) levels predicted an elevated risk of developing pancreatic cancer compared to the reference levels [ 19 ]. Thus, the current study aimed to establish a nomogram to predict OTSCC patient’s outcome based on clinical characteristics and serological inflammation markers which are easy to obtain from routine admission laboratory tests, and assessed the performance of the nomogram with internal validation using a bootstrap resampling method.…”

Section: Introductionmentioning

confidence: 99%

Nomogram based on clinical characteristics and serological inflammation markers to predict overall survival of oral tongue squamous cell carcinoma patient after surgery

et al. 2021

View full text Add to dashboard Cite

Background Oral tongue squamous cell carcinoma (OTSCC) is a prevalent malignant disease that is characterized by high rates of metastasis and postoperative recurrence. The aim of this study was to establish a nomogram to predict the outcome of OTSCC patients after surgery. Methods We retrospectively analyzed 169 OTSCC patients who underwent treatments in the Cancer Hospital of Shantou University Medical College from 2008 to 2019. The Cox regression analysis was performed to determine the independent prognostic factors associated with patient’s overall survival (OS). A nomogram based on these prognostic factors was established and internally validated using a bootstrap resampling method. Results Multivariate Cox regression analysis revealed the independent prognostic factors for OS were TNM stage, age, lymphocyte-to-monocyte ratio and immunoglobulin G, all of which were identified to create the nomogram. The Akaike Information Criterion and Bayesian Information Criterion of the nomogram were lower than those of TNM stage (292.222 vs. 305.480; 298.444 vs. 307.036, respectively), indicating a better goodness-of-fit of the nomogram for predicting OS. The bootstrap-corrected of concordance index (C-index) of nomogram was 0.784 (95% CI 0.708–0.860), which was higher than that of TNM stage (0.685, 95% CI 0.603–0.767, P = 0.017). The results of time-dependent C-index for OS also showed that the nomogram had a better discriminative ability than that of TNM stage. The calibration curves of the nomogram showed good consistency between the probabilities and observed values. The decision curve analysis also revealed the potential clinical usefulness of the nomogram. Based on the cutoff value obtained from the nomogram, the proposed high-risk group had poorer OS than low-risk group (P < 0.0001). Conclusions The nomogram based on clinical characteristics and serological inflammation markers might be useful for outcome prediction of OTSCC patient.

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“…Moreover, a recent study by Sollie et al reported an inverse association between pre-diagnostic serum levels of IgG and risk of PCa [ 197 ]. This was supported by a previously mentioned cohort study looking at the humoral immune response against oral bacteria, where high levels of antibodies had a 45% decreased risk of PCa.…”

Section: Resultsmentioning

confidence: 99%

Pancreatic Cancer Exposome Profile to Aid Early Detection and Inform Prevention Strategies

Monroy‐Iglesias

Dolly

Sarker

et al. 2021

JCM

Self Cite

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Pancreatic cancer (PCa) is associated with a poor prognosis and high mortality rate. The causes of PCa are not fully elucidated yet, although certain exposome factors have been identified. The exposome is defined as the sum of all environmental factors influencing the occurrence of a disease during a life span. The development of an exposome approach for PCa has the potential to discover new disease-associated factors to better understand the carcinogenesis of PCa and help with early detection strategies. Our systematic review of the literature identified several exposome factors that have been associated with PCa alone and in combination with other exposures. A potential inflammatory signature has been observed among the interaction of several exposures (i.e., smoking, alcohol consumption, diabetes mellitus, obesity, and inflammatory markers) that further increases the incidence and progression of PCa. A large number of exposures have been identified such as genetic, hormonal, microorganism infections and immune responses that warrant further investigation. Future early detection strategies should utilize this information to assess individuals’ risk for PCa.

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Serum Immunoglobulin G Is Associated With Decreased Risk of Pancreatic Cancer in the Swedish AMORIS Study

Cited by 8 publications

References 60 publications

Nomogram Based On Clinical Characteristics and Serological Inflammation Markers To Predict Overall Survival of Tongue Squamous Cell Carcinoma Patient After Surgery

Nomogram Based On Clinical Characteristics and Serological Inflammation Markers To Predict Overall Survival of Tongue Squamous Cell Carcinoma Patient After Surgery

Nomogram based on clinical characteristics and serological inflammation markers to predict overall survival of oral tongue squamous cell carcinoma patient after surgery

Pancreatic Cancer Exposome Profile to Aid Early Detection and Inform Prevention Strategies

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