Body mass index (BMI) may be a prognostic factor for gastric cancer with peritoneal dissemination

Establishment and validation of a risk score model based on EUS: assessment of lymph node metastasis in early gastric cancer

BACKGROUND AND AIMS

Lymph node metastasis significantly affects the prognosis of early gastric cancer patients. EUS plays a crucial role in the preoperative assessment of early gastric cancer. This study evaluated the efficacy of EUS in identifying lymph node metastasis in early gastric cancer patients and developed a risk score model to aid in choosing the best treatment options.

METHODS

We retrospectively analyzed the effectiveness of EUS for detecting lymph node metastasis in early gastric cancer patients. A risk score model for predicting lymph node metastasis preoperatively was created using independent risk factors identified through binary logistic regression analysis and subsequently validated. Receiver operating characteristic curves were generated for both the development and validation cohorts.

RESULTS

The overall accuracy of EUS in identifying lymph node metastasis was 85.3%, although its sensitivity (29.2%) and positive predictive value (38.7%) were relatively low. Patients were categorized based on preoperative risk factors for lymph node metastasis, including tumor size of ≥20 mm, lymph nodes of ≥10 mm, body mass index of ≥24 kg/m2, and lymph node metastasis on CT scans. A 7-point risk score model was developed to assess the likelihood of lymph node metastasis. The areas under the receiver operating characteristic curve for the development and validation sets were 0.842 and 0.837, respectively, with sensitivities of 64% and 79%, respectively.

CONCLUSIONS

We developed a practical risk score model based on preoperative factors to help EUS predict lymph node metastasis in early gastric cancer patients, guiding the selection of optimal treatment approaches for these patients.

Machine learning-based radiomics score improves prognostic prediction accuracy of stage II/III gastric cancer: A multi-cohort study

BACKGROUND

Although accurately evaluating the overall survival (OS) of gastric cancer patients remains difficult, radiomics is considered an important option for studying prognosis.

AIM

To develop a robust and unbiased biomarker for predicting OS using machine learning and computed tomography (CT) image radiomics.

METHODS

This study included 181 stage II/III gastric cancer patients, 141 from Lichuan People's Hospital, and 40 from the Cancer Imaging Archive (TCIA). Primary tumors in the preoperative unenhanced CT images were outlined as regions of interest (ROI), and approximately 1700 radiomics features were extracted from each ROI. The skeletal muscle index (SMI) and skeletal muscle density (SMD) were measured using CT images from the lower margin of the third lumbar vertebra. Using the least absolute shrinkage and selection operator regression with 5-fold cross-validation, 36 radiomics features were identified as important predictors, and the OS-associated CT image radiomics score (OACRS) was calculated for each patient using these important predictors.

RESULTS

Patients with a high OACRS had a poorer prognosis than those with a low OACRS score (P < 0.05) and those in the TCIA cohort. Univariate and multivariate analyses revealed that OACRS was a risk factor [RR = 3.023 (1.896-4.365), P < 0.001] independent of SMI, SMD, and pathological features. Moreover, OACRS outperformed SMI and SMD and could improve OS prediction (P < 0.05).

CONCLUSION

A novel biomarker based on machine learning and radiomics was developed that exhibited exceptional OS discrimination potential.

Defining nomograms for predicting prognosis of early and late recurrence in gastric cancer patients after radical gastrectomy

There are few studies on the predictive factors of early recurrence (ER) and late recurrence (LR) of advanced gastric cancer (GC) after curative surgery. Our study aims to explore the independent predictors influencing the prognosis between ER and LR in patients with advanced GC after curative intent surgery respectively. And we will further develop nomograms for prediction of post recurrence survival (PRS). Data of patients with GC who received radical gastrectomy was retrospectively collected. Recurrence was classified into ER and LR according to the 2 years after surgery as the cutoff value. Multivariate Cox regression analyses were used to explore significant predictors in our analysis. Then these significant predictors were integrated to construct nomograms. The 1-, 2- and 3-year probabilities of PRS in patients with ER were 30.00%, 16.36% and 11.82%, respectively. In contrast, the late group were 44.68%, 23.40%, and 23.30%, respectively. Low body mass index (hazard ratio [HR] = 0.86, P = .001), elevated monocytes count (HR = 4.54, P = .003) and neutrophil-lymphocyte ratio (HR = 1.03, P = .037) at the time of recurrence were risk factors of PRS after ER. Decreased hemoglobin (HR = 0.97, P = .008) and elevated neutrophil-lymphocyte ratio (HR = 1.06, P = .045) at the time of recurrence were risk factors of PRS after LR. The calibration curves for probability of 1-, 2-, and 3-year PRS showed excellent predictive effect. Internal validation concordance indexes of PRS were 0.722 and 0.671 for ER and LR respectively. In view of the different predictive factors of ER and LR of GC, the practical predictive model may help clinicians make reasonable decisions.

Obesity promotes lipid accumulation in lymph node metastasis of gastric cancer: a retrospective case‒control study

Background

The connection between obesity, lipid accumulation, and lymph node metastasis (LNM) in gastric cancer (GC) is unclear.

Methods

The association of body mass index (BMI) and serum lipid levels with LNM was measured by calculating the odds ratio (OR) and 95% confidence interval (CI) in 1,058 eligible GC patients with a mean age of 61.4 years. Meanwhile, differentially expressed genes (DEGs) were identified between lymph node metastasis-positive (N +) and -negative (N0) groups using public RNA-seq data. Neutral lipids in human GC samples were detected by Oil red O staining. The expression of cluster of differentiation 36 (CD36), fatty acid synthase (FASN), and lipoprotein lipase (LPL) was detected by immunohistochemistry (IHC) and quantitative real-time PCR.

Results

Compared with normal-weight patients, overweight (OR = 2.02, 95% CI = 1.26–3.23) and obese (OR = 1.83, 95% CI = 1.15–2.91) patients showed increased ORs for LNM. However, no significant results were obtained for serum lipids in the multivariable-adjusted model (P > 0.05). Subgroup analysis suggested that increased low-density lipoprotein cholesterol was a risk factor in females (OR = 1.27, 95% CI = 1.02–1.59). Functional enrichment analysis of DEGs revealed a connection between lipid metabolism and LNM. Meanwhile, lipid staining showed a mass of lipids in obese N + tumor samples, and IHC analysis indicated an increase in LPL and CD36 expression in N + cases, implying a crucial role for exogenous lipid supply in LNM.

Conclusions

High BMI significantly increases the risk of LNM in GC and promotes lipid accumulation in GC cells in LNM.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12944-022-01734-7.

A new scoring system to evaluate adjuvant chemotherapy for patients with T2N0M0 gastric cancer after D2 gastrectomy

BACKGROUND

At present, there is insufficient medical evidence to determine whether adjuvant chemotherapy is necessary for T2N0M0 gastric cancer.

AIM

To obtain a risk score to assess the need for adjuvant chemotherapy in patients with T2N0M0 gastric cancer.

METHODS

We identified 325 patients with pathological T2N0M0 stage primary gastric cancer at the National Cancer Center between 2011 and 2018. Univariate and multivariate Cox regression analyses were performed to predict factors affecting prognosis. Vascular invasion, tumor site, and body mass index were assessed, and a scoring system was established. We compared the survival outcomes and benefits of adjuvant chemotherapy between the different subgroups.

RESULTS

Five-year survival rates of the score 0, 1, 2, and 3 groups were 92%, 95%, 80%, and 50%, respectively (P < 0.001). In the score 2-3 group, five-year survival rates for patients in the adjuvant chemotherapy group and postoperative observation group were 95% and 61%, respectively (P = 0.021).

CONCLUSION

For patients with T2N0M0 stage gastric cancer and two or more risk factors, adjuvant chemotherapy after D2 gastrectomy may have a survival benefit.

Detection of sarcopenic obesity and prediction of long-term survival in patients with gastric cancer using preoperative computed tomography and machine learning

Background

Previous studies evaluating the prognostic value of computed tomography (CT)‐derived body composition data have included few patients. Thus, we assessed the prevalence and prognostic value of sarcopenic obesity in a large population of gastric cancer patients using preoperative CT, as nutritional status is a predictor of long‐term survival after gastric cancer surgery.

Methods

Preoperative CT images were analyzed for 840 gastric cancer patients who underwent gastrectomy between March 2009 and June 2018. Machine learning algorithms were used to automatically detect the third lumbar (L3) vertebral level and segment the body composition. Visceral fat area and skeletal muscle index at L3 were determined and used to classify patients into obesity, sarcopenia, or sarcopenic obesity groups.

Results

Out of 840 patients (mean age = 60.4 years; 526 [62.6%] men), 534 (63.5%) had visceral obesity, 119 (14.2%) had sarcopenia, and 48 (5.7%) patients had sarcopenic obesity. Patients with sarcopenic obesity had a poorer prognosis than those without sarcopenia (hazard ratio [HR] = 3.325; 95% confidence interval [CI] = 1.698–6.508). Multivariate analysis identified sarcopenic obesity as an independent risk factor for increased mortality (HR = 2.608; 95% CI = 1.313–5.179). Other risk factors were greater extent of gastrectomy (HR = 1.928; 95% CI = 1.260–2.950), lower prognostic nutritional index (HR = 0.934; 95% CI = 0.901–0.969), higher neutrophil count (HR = 1.101; 95% CI = 1.031–1.176), lymph node metastasis (HR = 6.291; 95% CI = 3.498–11.314), and R1/2 resection (HR = 4.817; 95% CI = 1.518–9.179).

Conclusion

Body composition analysis automated by machine learning predicted long‐term survival in patients with gastric cancer.

Gastric cancer with positive peritoneal cytology: survival benefit after induction chemotherapy and conversion to negative peritoneal cytology

Background

The optimal treatment in patients with gastric cancer and peritoneal disease remains controversial. Some guidelines indicate palliative treatment only, while others consider surgical treatment in case of positive lavage cytology (CY+) or limited peritoneal disease. Here, we analyzed the role of peritoneal disease in patients with gastric cancer, and the prognostic relevance of response to neoadjuvant therapy.

Methods

In this retrospective cohort analysis, we analyzed patients with adenocarcinoma of the stomach or esophago-gastric junction from a single center operated between 2011 and 2019. According to histology and lavage cytology, patients were classified into four risk groups: (A) no peritoneal disease, (B) CY+ who converted to negative lavage cytology (CY−) after neoadjuvant chemotherapy, (C) CY+ without conversion after chemotherapy, and (D) patients with visible peritoneal metastasis.

Results

Overall, n = 172 patients were included. At initial presentation, n = 125 (73%) had no peritoneal disease, and about a third of patients (n = 47, 27%) had microscopic or macroscopic peritoneal disease. Among them, n = 14 (8%) were CY+ without visible peritoneal metastasis, n = 9 converted to CY− after chemotherapy, and in n = 5 no conversion was observed. Median overall survival was not reached in patients who had initially no peritoneal disease and in patients who converted after chemotherapy, resulting in 3-year survival rates of 65% and 53%. In contrast, median overall survival was reduced to 13 months (95% CI 8.7–16.7) in patients without conversion and was 16 months (95% CI 12–20.5) in patients with peritoneal metastasis without difference between the two groups (p = .364). The conversion rate from CY+ to CY− was significantly higher after neoadjuvant treatment with FLOT (5-fluorouracil plus leucovorin, oxaliplatin, and docetaxel) compared to ECF (epirubicin, cisplatin, and 5-fluorouracil) (p = 0.027).

Conclusion

Conversion of CY+ to CY− after neoadjuvant chemotherapy with FLOT is a significant prognostic factor for a better overall survival. Surgical treatment in well-selected patients should therefore be considered. However, peritoneal recurrence remains frequent despite conversion, urging for a better local control.

Predicting Peritoneal Metastasis of Gastric Cancer Patients Based on Machine Learning

OBJECTIVE

The aim is to explore the prediction effect of 5 machine learning algorithms on peritoneal metastasis of gastric cancer.

METHODS

1080 patients with postoperative gastric cancer were divided into a training group and test group according to the ratio of 7:3. The model of peritoneal metastasis was established by using 5 machine learning (gbm(Light Gradient Boosting Machine), GradientBoosting, forest, Logistic and DecisionTree). Python pair was used to analyze the machine learning algorithm. Gbm algorithm is used to show the weight proportion of each variable to the result.

RESULT

Correlation analysis showed that tumor size and depth of invasion were positively correlated with the recurrence of patients after gastric cancer surgery. The results of the gbm algorithm showed that the top 5 important factors were albumin, platelet count, depth of infiltration, preoperative hemoglobin and weight, respectively. In training group: Among the 5 algorithm models, the accuracy of GradientBoosting and gbm was the highest (0.909); the AUC values of the 5 algorithms are gbm (0.938), GradientBoosting (0.861), forest (0.796), Logistic(0.741) and DecisionTree(0.712) from high to low. In the test group: among the 5 algorithm models, the accuracy of forest, DecisionTree and gbm was the highest (0.907); AUC values ranged from high to low to gbm (0.745), GradientBoosting (0.725), forest (0.696), Logistic (0.680) and DecisionTree (0.657).

CONCLUSION

Machine learning can predict the peritoneal metastasis in patients with gastric cancer.

Geriatric nutritional risk index predicts cancer prognosis in patients with local advanced rectal cancer undergoing chemoradiotherapy followed by curative surgery

Aim

The clinical significance of the geriatric nutritional risk index (GNRI) in locally advanced rectal cancer (LARC) patients undergoing preoperative chemoradiotherapy (CRT) followed by curative surgery has not been comprehensively evaluated.

Methods

This retrospective study enrolled 93 LARC patients diagnosed with clinical lymph node metastasis. The GNRI formula was as follows: 1.489 × albumin (g/l) + 41.7 × current weight/ideal weight. Patients were categorized as GNRI low (GNRI < 104.25) or high (GNRI > 104.25) according to the receiver operating characteristic (ROC) curve for survival analysis. The impact of GNRI status on the prognostic outcomes of curative surgery for LARC was examined.

Results

There were 55 (59.14%) and 38 (40.86%) patients in the GNRI high and low groups, respectively. Of the investigated demographic factors, age, pathological tumor invasion, and presence of recurrence were significantly associated with the GNRI value. In Kaplan–Meier analysis, overall survival (OS) and disease-free survival (DFS) were significantly shorter in the GNRI low group (OS: p = 0.00020, DFS: p = 0.0044, log-rank test). Multivariate analysis using a Cox proportional hazards model showed that a low GNRI was an independent risk factor for poor OS (hazard ratio (HR) = 3.22; 95% confidence interval (CI), 1.37–8.23; p = 0.0068) and DFS (HR = 2.32; 95%CI = 1.15–4.79; p = 0.018). Although use of adjuvant therapy has no impact on prognosis (OS: p = 0.26, DFS: p = 0.29), low GNRI showed shorter OS and DFS in patients with pathological lymph node metastasis [ypN(+)] (OS: p = 0.033, DFS: p = 0.032, log-rank test).

Conclusions

GNRI is a useful marker for LARC patients diagnosed with clinical lymph node metastasis and treated by preoperative CRT followed by curative surgery. GNRI is a useful tool to identify high risk of recurrence for improving the survival in LARC patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12957-021-02139-z.

An ascites grading system for predicting the prognosis of gastric cancer with peritoneum dissemination

AIM

Gastric cancer with peritoneum dissemination is intractable with surgical resection. The evaluation of the degree of dissemination using computed tomography (CT) is difficult. We focused on the amount of ascites based on CT findings and established a scaling system to predict these patients' prognoses.

METHODS

We extracted individual data from a population-based cohort. Patients diagnosed with histologically proven gastric adenocarcinoma with peritoneum dissemination were enrolled. Two raters evaluated the CT images and determined the grade of ascites in each patient: grade 0 indicated no ascites in all slices; grade 1 indicated ascites detected only in the upper or lower abdominal cavity; grade 2 indicated ascites detected in both the upper and lower abdominal cavities; and grade 3 indicated ascites extending continuously from the pelvic cavity to the upper abdominal cavity. We evaluated the relationship between the ascites grade and survival time. After adjusting for other clinical factors, we calculated hazard ratios of each ascites grade.

RESULTS

A total of 718 patients were enrolled. The number of patients with grades 0, 1, 2, and 3 were 303, 223, 94, and 98, respectively. The median overall survival times were 16.0, 8.7, 5.4, and 3.0 months for ascites on CT grades 0, 1, 2, and 3, respectively (P < .001). The adjusted hazard ratios for the survival time were 1.74 (1.33-2.26, P < .001), 3.20 (2.25-4.57, P < .001), and 4.76 (3.16-7.17, P < .001) for grades 1, 2, and 3, respectively.

CONCLUSION

We established a new grading system of pretreatment ascites to better predict the prognosis of gastric cancer.

Genetic polymorphisms in folate-metabolizing genes associated with gastric cancer prognosis in northwest China subjects

Influence of folate metabolism has long been studied in cancer and copies evidences have suggested that the key genes involved were correlated with GC risk and prognosis. However, their genetically association and contribution for GC prognosis are still elusive. To evaluate the effect of folate metabolism related genes polymorphisms on the prognosis of gastric cancer (GC), the genotype of seven single nucleotide polymorphisms (SNPs) of three genes were selected and genotyped in a cohort of 664 GC patients, including genes of Methylenetetrahydrofolate reductase (MTHFR), Methionine synthase reductase (MTRR), and Methionine synthase (MTR). Kaplan-Meier Curve, long-rank tests and multivariate Cox proportional hazard model were used for prognosis analysis. The results demonstrated that TT or CT/TT genotypes of SNP rs1532268 in MTRR gene coding region are significantly associated with a poorer overall survival (OS) when compared with CC genotype (HR=2.340, 95% CI: 1.240-4.414, p=0.009; or HR=1.502, 95% CI: 1.083-2.085, p=0.015, respectively). Furthermore, comparing to that of the CC genotype, the detrimental effect of rs1532268 TT genotype was also evident in the special subgroups of GC patients, especially in patients with BMI<24 and H. pylori infection. Moreover, significant association between increased relapse and TT genotype of rs1532268 was also observed in patients who are females, BMI<24 and without chemotherapy. In addition, the joint analysis demonstrated that integration of rs1532268 genotypes and BMI, H. pylori infection status, clinical stage and tumor site may significantly improve the predictive abilities for predicting OS of GC patients. In conclusion, it suggested that the MTRR rs1532268 polymorphism is significantly associated with clinical outcomes of GC patients, especially in those with lower BMI (BMI<24) or positive H. pylori infection status, which warrants further validation. And the polymorphism of MTRR rs1532268 may be a potential prognostic factor for GC patients.

Lifestyle factors and long-term survival of gastric cancer patients: A large bidirectional cohort study from China

BACKGROUND

Lifestyle factors such as body mass index (BMI), alcohol drinking, and cigarette smoking, are likely to impact the prognosis of gastric cancer, but the evidence has been inconsistent.

AIM

To investigate the association of lifestyle factors and long-term prognosis of gastric cancer patients in the China National Cancer Center.

METHODS

Patients with gastric cancer were identified from the China National Cancer Center Gastric Cancer Database 1998-2018. Survival analysis was performed via Kaplan-Meier estimates and Cox proportional hazards models.

RESULTS

In this study, we reviewed 18441 cases of gastric cancer. Individuals who were overweight or obese were associated with a positive smoking and drinking history (P = 0.002 and P < 0.001, respectively). Current smokers were more likely to be current alcohol drinkers (61.3% vs 10.1% vs 43.2% for current, never, and former smokers, respectively, P < 0.001). Multivariable results indicated that BMI at diagnosis had no significant effect on prognosis. In gastrectomy patients, factors independently associated with poor survival included older age (HR = 1.20, 95%CI: 1.05-1.38, P = 0.001), any weight loss (P < 0.001), smoking history of more than 30 years (HR = 1.14, 95%CI: 1.04-1.24, P = 0.004), and increasing pTNM stage (P < 0.001).

CONCLUSION

In conclusion, our results contribute to a better understanding of lifestyle factors on the overall burden of gastric cancer and long-term prognosis. In these patients, weight loss (both in the 0 to 10% and > 10% groups) but not BMI at diagnosis was related to survival outcomes. With regard to other factors, smoking history of more than 30 years conferred a worse prognosis only in patients who underwent gastrectomy. Extensive efforts are needed to elucidate mechanisms targeting the complex effects of lifestyle factors.

Modified Glasgow Prognostic Score, Prognostic Nutritional Index and ECOG Performance Score Predicts Survival Better than Sarcopenia, Cachexia and Some Inflammatory Indices in Metastatic Gastric Cancer

Background: Gastric carcinoma (GC) patients usually present with locally advanced or metastatic disease; therefore treatment aim is mainly palliation. In this study our purpose is to analyze the prognostic values of the sarcopenia index (SI), cachexia index (CIn) and other inflammatory indexes (advanced lung cancer inflammation index [ALI], modified Glasgow Prognostic Score [mGPS], prognostic index [PI], prognostic nutritional index [PNI] and neutrophil-to-lymphocyte ratio [NLR]) in metastatic GC patients.Methods: Data from the files of metastatic GC patients, who applied to Medical Oncology outpatient clinic in Marmara University Pendik Education and Research Hospital between January 2011 and June 2016, were retrospectively reviewed. Five hundred seventy patients with gastric cancer were detected. Exclusion criteria were the inability to reach the patient surveys for prognostic index calculations, the presence of additional comorbidities to affect the laboratory parameters, and the absence of metastatic disease. Finally, 87 of these patients were included in this study. For SI calculation L3 level muscle area was measured from patients' computed tomography (CT) by a radiologist. SI reference value was obtained from western-EGWSOP (The European Working Group on Sarcopenia in Older People) and eastern (Harada Y, et al.) sources separately, as Turkey doesn't have a reference value for SI. NLR cutoff value was accepted as the median value of patients' NLR measurements. Statistical analysis was conducted using SPSS. Kaplan-Meier and Cox regression models were used to assess independent prognostic factors. The area under the curve was used to compare the prognostic value of indexes.Results: The median length of follow-up of 87 patients was nine months (1-64 mo,/s), and 78 patients died during follow-up. Fifty-nine patients were male (63%), and the median age was 62 (range, 23-88). According to univariate analysis high mGPS and PI score, PNI level <45, NLR level ≥ 3.41, ALI level <18, CI level under 35, SI (Harada Y, et al) ≤44.5 for males and ≤36.5 for females, ECOG score ≥ 2, weight loss more than 10% during last 6 mo, BMI under 24 were poor prognostic factors. Age, gender, having multiple organ metastasis, history of gastric surgery, positivity C-erb-B2, SI (EGWSOP) ≤52.4 for males, and ≤38.4 for females did not have any impact on survival. According to multivariate analysis, high mGPS (score 2) (HR 2,494, 95% CI 1.25-4 .94, p = 0.02), PNI (score 1) (HR 4.2, 95% CI 1.73-10.1, p < 0.001) and ECOG score (≥2) (HR 1.541, 95% CI 1,089-4,214, p = 0.004) have been found to be independent prognostic factors which are determining the survival. mGPS was found to be more valuable than other indexes for predicting mortality by measuring the AUC with ROC analysis.Conclusions: In our study, mGPS, PNI and ECOG score were independent indicators for shorter survival in metastatic gastric cancer patients. mGPS and PNI, which can be done by using only serum CRP, albumin level and complete blood count, might be inexpensive, practical and beneficial to use in routine clinical practice to determine survival.

Impact of intramuscular adipose tissue content on short- and long-term outcomes of hepatectomy for colorectal liver metastasis: a retrospective analysis

Background

Numerous reports regarding sarcopenia have focused on the quantity of skeletal muscle. In contrast, the impact of the quality of skeletal muscle has not been well investigated.

Methods

A retrospective analysis of 115 patients who underwent initial hepatectomy for colorectal liver metastasis between January 2009 and December 2016 in our hospital was performed. Intramuscular adipose tissue content (IMAC) was used to evaluate the quality of skeletal muscle by analysing computed tomography (CT) images at the level of the umbilicus. The impact of poor skeletal muscle quality on short-term and long-term outcomes after hepatectomy for colorectal liver metastasis was analysed.

Results

Patients were divided into two groups (high IMAC and normal IMAC) according to their IMAC values, and their backgrounds were compared. There were no significant differences in most factors between the two groups. However, both body mass index (P = 0.030) and the incidence of postoperative complications of Clavien-Dindo grade 3 or worse (P = 0.008) were significantly higher in the high-IMAC group. In multivariate analyses, an operative blood loss > 600 ml (P = 0.006) and high IMAC (P = 0.008) were associated with postoperative complications of Clavien-Dindo grade 3 or worse. Overall survival and recurrence-free survival were significantly lower (P < 0.001 and P = 0.045, respectively) in the high-IMAC group than in the normal IMAC group. In multivariate analyses for poor overall survival, high IMAC was associated with poor overall survival (P < 0.001).

Conclusions

IMAC is a prognostic factor for poor short- and long-term outcomes in patients with colorectal liver metastasis.

Prognostic significance of malignant ascites in gastric cancer patients with peritoneal metastasis: A systemic review and meta-analysis

BACKGROUND

Recent evidence indicates that malignant ascites may be associated with the high malignancy and poor prognosis of gastric cancer (GC) with peritoneal metastasis (PM), but no robust consensus has been reached until now.

AIM

To evaluate the prognostic significance of malignant ascites in GC patients with PM.

METHODS

Two independent authors conducted database searches. The searches were performed in the EMBASE, PubMed, and Cochrane Library databases, and the terms used to search included stomach neoplasms, GC, ascites, peritoneal effusion, survival, and survival analysis. Outcomes included overall survival and hazard ratios with 95% confidence intervals (CIs). Three pairs of comparisons for measuring survival were made: (1) Patients with ascites vs those without ascites; (2) Patients with massive ascites vs those with mild to moderate ascites; and (3) Patients with massive ascites vs those with no to moderate ascites.

RESULTS

Fourteen articles including fifteen studies were considered in the final analysis. Among them, nine studies assessed the difference in prognosis between patients with and without malignant ascites. A pooled HR of 1.63 (95%CI: 1.47-1.82, P < 0.00001) indicated that GC patients with malignant ascites had a relatively poor prognosis compared to patients without ascites. We also found that the prognosis of GC patients with malignant ascites was related to the volume of ascites in the six other studies.

CONCLUSION

GC patients with malignant ascites tend to have a worse prognosis, and the volume of ascites has an impact on GC outcomes.

Weight loss and body mass index in advanced gastric cancer patients treated with second-line ramucirumab: a real-life multicentre study

AIMS AND METHODS

This multicenter retrospective study aims to evaluate the correlations between Body Weight Loss (BWL), Body Mass Index (BMI) and clinical outcomes (ORR, PFS, and OS) of advanced gastric cancer (aGC) patients treated with second-line ramucirumab-based therapy in a "real-life" setting.

RESULTS

From December 2014 to October 2018, 101 consecutive aGC patients progressed to a first-line chemotherapy were treated with ramucirumab alone (10.9%) or in combination with paclitaxel (89.1%). Median BMI was 21.2 kg/m2 and mBWL since first-line treatment commencement was 4.5%. Among 53 patients who underwent primary tumor resection (PTR), 73.6% experienced BWL, while 26.4% did not experience BWL (p = 0.0429). Patients who underwent PTR had a significantly higher probability of experiencing BWL (yes vs no) [OR = 2.35 (95% CI 1.02-5.42), p = 0.0439]. Among the 89 evaluable patients, ORR was 26.9% (95% CI 17.2-40.1). At a median follow-up of 17.3 months, mPFS was 5.4 months (95% CI 3.6-6.8) and mOS was 8.7 months (95% CI 7.3-11.9). In the multivariate analysis, only ECOG-PS and BMI were confirmed independent predictors for shorter PFS [HR = 1.69 (95% CI 1.01-2.82), p = 0.04] [HR = 1.97 (95% CI 1.12-3.46), p = 0.01] and OS [HR = 1.69 (95% CI 1.01-2.83), p = 0.04] [HR = 2.08 (95% CI 1.17-3.70), p = 0.01].

CONCLUSION

Efficacy of ramucirumab is confirmed in this "real-life" analysis. BWL seems not to have correlations with clinical outcomes in these patients, while BMI and ECOG-PS remain major prognostic factors. A possible explanation for the lack of prognostic effect of BWL might be the proportion of patients subjected to PTR in this series (52.5%).

An elevated preoperative serum calcium level is a significant predictor for positive peritoneal cytology in endometrial carcinoma

Objective

To evaluate preoperative serum calcium concentration and investigate the association between calcium level and positive peritoneal cytology in endometrial carcinoma (EC).

Methods

A total of 510 patients who were diagnosed with EC and had surgery were initially enrolled in this study at Peking University People’s Hospital between January 2012 and December 2016. Clinical characteristics and preoperative serum calcium, albumin, carbohydrate antigen (CA)125, CA19-9, carcinoembryonic antigen (CEA) were extracted from patient records and evaluated according to postoperative peritoneal cytology. Predictive factors were assessed with Cox univariate and multivariate analyses. Factors selected from multivariate analysis results were used to build a predictive model.

Results

A total of 510 patients are identified in our database and 444 patients who fulfilled inclusion and exclusion criteria are included in this study. Univariate analysis revealed that ionized calcium concentration was closely related to positive peritoneal cytology, tumor grade and lymph-vascular space invasion (LVSI). Moreover, peritoneal cytology was significantly associated with hypertension, tubal ligation, serum CA125, CA19-9, CEA and ionized calcium level. Multivariate analysis revealed that albumin-adjusted calcium level, CA125 and tubal ligation were independent predictive factors of positive peritoneal cytology (P<0.05). A combination of ionized calcium level with the other two indexes yielded significantly great area under the curve (AUC=0.824).

Conclusions

This study enhanced the value of preoperative ionized calcium level. We also identified several potential biomarkers to predict positive peritoneal cytology in EC patients before surgery.

Body mass index and mortality in patients with gastric cancer: a large cohort study

BACKGROUND

The effects of obesity on prognosis in gastric cancer are controversial.

AIMS

To evaluate the association between body mass index (BMI) and mortality in patients with gastric cancer.

METHODS

A single-institution cohort of 7765 patients with gastric cancer undergoing curative gastrectomy between October 2000 and June 2016 was categorized into six groups based on BMI: underweight (< 18.5 kg/m²), normal (18.5 to < 23 kg/m²), overweight (23 to < 25 kg/m²), mildly obese (25 to < 28 kg/m²), moderately obese (28 to < 30 kg/m²), and severely obese (≥ 30 kg/m²). Hazard ratios (HRs) for overall survival (OS) and disease-specific survival (DSS) were calculated using Cox proportional hazard models.

RESULTS

We identified 1279 (16.5%) all-cause and 763 (9.8%) disease-specific deaths among 7765 patients over 83.05 months (range 1.02-186.97) median follow-up. In multivariable analyses adjusted for statistically significant clinicopathological characteristics, preoperative BMI was associated with OS in a non-linear pattern. Compared with normal-weight patients, underweight patients had worse OS [HR 1.42; 95% confidence interval (CI) 1.15-1.77], whereas overweight (HR 0.84; 95% CI 0.73-0.97), mildly obese (HR 0.77; 95% CI 0.66-0.90), and moderately obese (HR 0.77; 95% CI 0.59-1.01) patients had better OS. DSS exhibited a similar pattern, with lowest mortality in moderately obese patients (HR 0.58; 95% CI 0.39-0.85). Spline analysis showed the lowest all-cause mortality risk at a BMI of 26.67 kg/m².

CONCLUSION

In patients undergoing curative gastric cancer surgery, those who were overweight or mildly-to-moderately obese (BMI 23 to < 30 kg/m²) preoperatively had better OS and DSS than normal-weight patients.

The Impact of Preoperative Low Body Mass Index on Postoperative Complications and Long-term Survival Outcomes in Gastric Cancer Patients

PURPOSE

The aim of this study was to investigate the impact of preoperative low body mass index (BMI) on both the short- and long-term outcomes in patients with gastric cancer.

MATERIALS AND METHODS

A total of 510 patients with gastric cancer were divided into the following 3 groups: low BMI group (≤18.5 kg/m2, n=51), normal BMI group (18.6-24.9 kg/m2, n=308), and high BMI group (≥25.0 kg/m2, n=151).

RESULTS

There were significantly more stage III/IV patients in the low BMI group than in the other groups (P=0.001). Severe postoperative complications were more frequent (P=0.010) and the survival was worse (P<0.001) in the low BMI group. The subgroup analysis indicated that survival was worse in the low BMI group of the stage I/II subgroup (P=0.008). The severe postoperative complication rate was higher in the low BMI group of the stage III/IV subgroup (P=0.001), although the recurrence rate and survival did not differ in the stage III/IV subgroup among all the BMI groups. Low BMI was an independent poor prognostic factor in the stage I/II subgroup (disease-free survival: hazard ratio [HR], 13.521; 95% confidence interval [CI], 1.186-154.197; P=0.036 and overall survival: HR, 5.130; 95% CI, 1.644-16.010; P=0.005), whereas low BMI was an independent risk factor for severe postoperative complications in the stage III/IV subgroup (HR, 17.158; 95% CI, 1.383-212.940; P=0.027).

CONCLUSIONS

Preoperative low BMI in patients with gastric cancer adversely affects survival among those with stage I/II disease and increases the severe postoperative complication rate among those with stage III/IV disease.