Early postoperative weight loss is associated with poor prognosis in patients with esophageal cancer

Postoperative Serum Interleukin 6 Concentrations Are Associated With Nutritional Status and Prognosis of Esophageal Cancer in the Minimally Invasive Esophagectomy Era

BACKGROUND

Findings have shown that preoperative serum interleukin 6 (IL-6) concentrations are associated with treatment response and prognosis of patients with esophageal cancer. However, it has been unclear whether IL-6 concentrations after minimally invasive esophagectomy (MIE) have an impact on nutritional status and prognosis.

METHODS

The cohort of this retrospective study comprised 336 patients who had undergone MIE with R0 for esophageal cancer from August 2020 to August 2022. The study investigated the relationship between postoperative serum IL-6 concentrations and outcomes.

RESULTS

The study created low-IL-6 (<60 pg/mL) and high-IL-6 (≥60 pg/mL) groups according to the upper-quartile postoperative serum IL-6 concentration 1 day after MIE. The high-IL-6 group had a significantly worse overall survival (OS) (2-year OS rate, 69.8% in high-IL-6 vs 80.6% in low-IL-6 group; p = 0.004). A high IL-6 was independently and significantly associated with poor OS (odds ratio, 1.548; 95% confidence interval, 1.027-2.335; p = 0.037). Several indices of malnutrition, including the modified Glasgow prognostic score (mGPS), 1 month after surgery, were significantly lower in the high-IL-6 group than in the low-IL-6 group. Multivariate analysis identified high serum IL-6 concentration 1 day after surgery as an independent risk factor for malnutrition.

CONCLUSION

The ultra-early postoperative serum IL-6 concentration has a negative impact on the nutrition and prognosis of patients who have undergone MIE for esophageal cancer. Decreasing serum IL-6 concentrations after esophagectomy may improve nutritional status and prognosis. It may be important for perioperative management and treatment strategies to target IL-6 after esophageal cancer surgery.

Survival outcomes of robot-assisted transmediastinal esophagectomy in patients with esophageal squamous cell carcinoma

We developed a robot-assisted transmediastinal esophagectomy (RATME) to reduce the surgical invasiveness of open transthoracic esophagectomy (oTTE). However, the long-term survival outcomes of patients who undergo RATME remain unclear. Patients who underwent RATME for esophageal squamous cell carcinoma (ESCC) between January 2012 and April 2020 were enrolled. Overall survival (OS), relapse-free survival (RFS), and ESCC cause-specific survival (CSS) were analyzed according to clinical stage. Survivals were compared between patients who underwent the RATME and oTTE using propensity score matching analysis. One hundred and twenty-seven patients who underwent RATME were included in the analysis. The 3- and 5-year OS rates were 96.2 and 92.1% for cStage I RATME group, 84.8 and 82.3% for cStage II, and 61.8 and 61.8% for cStage III, respectively. The 3- and 5-year RFS rates were 94.3 and 84.3% for cStageI, 71.7 and 69.3% for cStage II, and 5 48.2 and 48.2% for cStage III, respectively. Survival analysis using 74 paired patients showed that the RATME group had better OS and RFS than the oTTE group (p = 0.0028 and p = 0.016, respectively), but equivalent CSS (p = 0.078). The OS of the RATME group stratified by clinical stage was equivalent to that of the comprehensive registry data from Japan, and showed better OS and RFS than the oTTE group, indicating that RATME radicality is guaranteed with regard to long-term survival.

Advanced lung cancer inflammation index is associated with prognosis in skin cancer patients: a retrospective cohort study

Background

Skin cancer ranks as one of the most prevalent malignant tumors affecting humans. This study was designed to explore the correlation between the advanced lung cancer inflammation index (ALI), a metric that gauged both nutrition and inflammation statuses, in skin cancer patients and their subsequent prognosis.

Methods

Data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999-2018 were scrutinized, along with mortality tracking extending to December 31, 2019. Kaplan-Meier survival curves and COX regression analysis, utilizing NHANES-recommended weights, delineated the association between ALI levels and skin cancer prognosis. To decipher the potential non-linear relationship, a restricted cubic spline analysis was applied. Additionally, stratified analysis was conducted to affirm the robustness of our findings.

Results

The 1,149 patients participating in NHANES 1999-2018 were enrolled. We observed a reverse J-shaped non-linear relationship between ALI and both skin cancer all-cause mortality and cancer mortality, with inflection points at 81.13 and 77.50, respectively.

Conclusions

The ALI served as a comprehensive indicator of a patient's nutrition and inflammation status and was demonstrably linked to the prognosis in skin cancer cases. The meticulous evaluation and continuous monitoring of these parameters in skin cancer patients bear clinical importance.

Exploring the optimal indicator of short-term peridiagnosis weight dynamics to predict cancer survival: A multicentre cohort study

BACKGROUND

Body weight and its changes have been associated with cancer outcomes. However, the associations of short-term peridiagnosis weight dynamics in standardized, clinically operational time frames with cancer survival remain largely unknown. This study aimed to screen for and evaluate the optimal indicator of short-term peridiagnosis weight dynamics to predict overall survival (OS) in patients with cancer.

METHODS

This multicentre cohort study prospectively collected data from 7460 patients pathologically diagnosed with cancer between 2013 and 2019. Body weight data were recorded 1 month before, at the time of and 1 month following diagnosis. By permuting different types (point value in kg, point height-adjusted value in kg/m2, absolute change in kg or relative change in percentage) and time frames (prediagnosis, postdiagnosis or peridiagnosis), we generated 12 different weight-related indicators and compared their prognostic performance using Harrell's C-index, integrated discrimination improvement, continuous net reclassification improvement and time-dependent C-index. We analysed associations of peridiagnosis relative weight change (RWC) with OS using restricted cubic spine (RCS), Kaplan-Meier analysis and multivariable-adjusted Cox regression models.

RESULTS

The study enrolled 5012 males and 2448 females, with a median age of 59 years. During a median follow-up of 37 months, 1026 deaths occurred. Peridiagnosis (1 month before diagnosis to 1 month following diagnosis) RWC showed higher prognostic performance (Harrell's C-index = 0.601, 95% confidence interval [CI] = [0.583, 0.619]) than other types of indicators including body mass index (BMI), absolute weight change, absolute BMI change, prediagnosis RWC and postdiagnosis RWC in the study population (all P < 0.05). Time-dependent C-index analysis also indicated that peridiagnosis RWC was optimal for predicting OS. The multivariable-adjusted RCS analysis revealed an N-shaped non-linear association between peridiagnosis RWC and OS (PRWC < 0.001, Pnon-linear < 0.001). Univariate survival analysis showed that the peridiagnosis RWC groups could represent distinct mortality risk stratifications (P < 0.001). Multivariable survival analysis showed that, compared with the maintenance group (weight change < 5%), the significant (gain >10%, hazard ratio [HR] = 0.530, 95% CI = [0.413, 0.680]) and moderate (gain 5-10%, HR = 0.588, 95% CI = [0.422, 0.819]) weight gain groups were both associated with improved OS. In contrast, the moderate (loss 5-10%, HR = 1.219, 95% CI = [1.029, 1.443]) and significant (loss >10%, HR = 1.280, 95% CI = [1.095, 1.497]) weight loss groups were both associated with poorer OS.

CONCLUSIONS

The prognostic performance of peridiagnosis RWC is superior to other weight-related indicators in patients with cancer. The findings underscore the importance of expanding the surveillance of body weight from at diagnosis to both past and future, and conducting it within clinically operational time frames, in order to identify and intervene with patients who are at risk of weight change-related premature deaths.

Association Between Body Composition and Survival in Patients With Gastroesophageal Adenocarcinoma: An Automated Deep Learning Approach

PURPOSE

Body composition (BC) may play a role in outcome prognostication in patients with gastroesophageal adenocarcinoma (GEAC). Artificial intelligence provides new possibilities to opportunistically quantify BC from computed tomography (CT) scans. We developed a deep learning (DL) model for fully automatic BC quantification on routine staging CTs and determined its prognostic role in a clinical cohort of patients with GEAC.

MATERIALS AND METHODS

We developed and tested a DL model to quantify BC measures defined as subcutaneous and visceral adipose tissue (VAT) and skeletal muscle on routine CT and investigated their prognostic value in a cohort of patients with GEAC using baseline, 3-6-month, and 6-12-month postoperative CTs. Primary outcome was all-cause mortality, and secondary outcome was disease-free survival (DFS). Cox regression assessed the association between (1) BC at baseline and mortality and (2) the decrease in BC between baseline and follow-up scans and mortality/DFS.

RESULTS

Model performance was high with Dice coefficients ≥0.94 ± 0.06. Among 299 patients with GEAC (age 63.0 ± 10.7 years; 19.4% female), 140 deaths (47%) occurred over a median follow-up of 31.3 months. At baseline, no BC measure was associated with DFS. Only a substantial decrease in VAT >70% after a 6- to 12-month follow-up was associated with mortality (hazard ratio [HR], 1.99 [95% CI, 1.18 to 3.34]; P = .009) and DFS (HR, 1.73 [95% CI, 1.01 to 2.95]; P = .045) independent of age, sex, BMI, Union for International Cancer Control stage, histologic grading, resection status, neoadjuvant therapy, and time between surgery and follow-up CT.

CONCLUSION

DL enables opportunistic estimation of BC from routine staging CT to quantify prognostic information. In patients with GEAC, only a substantial decrease of VAT 6-12 months postsurgery was an independent predictor for DFS beyond traditional risk factors, which may help to identify individuals at high risk who go otherwise unnoticed.

A nomogram based on clinical characteristics and nutritional indicators for relative and absolute weight loss during radiotherapy in initially inoperable patients with locally advanced esophageal squamous cell carcinoma

OBJECTIVE

Radiation for locally advanced esophageal squamous cell carcinoma often is accompanied by radiation esophagitis, which interferes with oral intake. We aimed to develop a nomogram model to identify initially inoperable patients with relative and absolute weight loss who need prophylactic nutritional supplementation.

METHODS

A total of 365 initially inoperable patients with locally advanced esophageal squamous cell carcinoma receiving radiotherapy between January 2018 and December 2022 were included in the study, which was divided into discovery and validation cohorts. Receiver operating characteristic and Kaplan-Meier curve analyses were performed to compare the areas under the curve and survival benefits.

RESULTS

A total of 42.2% (154 of 365) of the patients had been diagnosed with cancer cachexia. The malnourished group had a higher interruption rate of radiotherapy and number of complication diseases (P < 0.05). Meanwhile, patients with malnutrition had lower lymphocytes and prognostic nutritional index (P < 0.05). The combined index showed a higher area under the curve value (0.67; P < 0.001) than number of complication diseases (area under the curve = 0.52) and prognostic nutritional index (area under the curve = 0.49) for relative weight loss (≥ 5%). Similarly, the combined index had a higher area under the curve value (0.79; P < 0.001) than number of complication diseases (area under the curve = 0.56), treatment regimens (area under the curve = 0.56), subcutaneous fat thickness (area under the curve = 0.60), pretreatment body weight (area under the curve = 0.61), neutrophils (area under the curve = 0.56), and prognostic nutritional index (area under the curve = 0.50) for absolute weight loss (≥ 5 kg). Absolute and relative weight loss remained independent prognostic factors, with short overall survival rates compared with the normal group (P < 0.05). Patients with high nomogram scores supported by nutritional intervention had less weight loss, better nutrition scores, and increased plasma CD8+ T cells, and interferon gamma.

CONCLUSIONS

We developed a nomogram model that was intended to estimate relative and absolute weight loss in initially inoperable patients with locally advanced esophageal squamous cell carcinoma during radiotherapy, which might help facilitate an objective decision on prophylactic nutritional supplementation.

A postoperative body weight increase is a novel risk factor for incisional hernia of midline abdominal incision after elective gastroenterological surgery

PURPOSE

Midline abdominal incisions (MAIs) are widely used in both open and minimally invasive surgery. Incisional hernia (IH) accounts for most long-term postoperative wound complications. This study explored the risk factors for IH due to MAI in patients with clean-contaminated wounds after elective gastroenterological surgery.

METHODS

The present study targeted patients enrolled in 2 randomized controlled trials to evaluate the efficacy of intraoperative interventions for incisional SSI prevention after gastroenterological surgery for clean-contaminated wounds. The patients were reassessed, and pre- and intraoperative variables and postoperative outcomes were collected. IH was defined as any abdominal wall gap, regardless of bulge, in the area of a postoperative scar that was perceptible or palpable on clinical examination or computed tomography according to the European Hernia Society guidelines. The risk factors for IH were identified using univariate and multivariate analyses.

RESULTS

The study population included 1,281 patients, of whom 273 (21.3%) developed IH. Seventy-four (5.8%) patients developed incisional SSI. Multivariate logistic regression analysis revealed that female sex (odds ratio [OR], 1.39; 95% confidence interval [CI] 1.03-1.86, p = 0.031), high preoperative body mass index (OR, 1.81; 95% CI 1.19-2.77, p = 0.006), incisional SSI (OR, 2.29; 95% CI 1.34-3.93, p = 0.003), and postoperative body weight increase (OR, 1.49; 95% CI 1.09-2.04, p = 0.012) were independent risk factors for IH due to MAI in patients who underwent elective gastroenterological surgery.

CONCLUSION

We identified postoperative body weight increase at one year as a novel risk factor for IH in patients with MAI after elective gastroenterological surgery.

Relationship of weight loss to quality of life and symptom distress among postsurgical survivors of oesophageal cancer who received chemotherapy

PURPOSE

Weight loss is highly prevalent in oesophageal cancer survivors, who often experience disease-related or treatment-related symptoms and quality of life (QoL) impairment. This study aimed to explore the relationships among weight loss, symptom distress, and QoL postoperatively in patients with oesophageal cancer undergoing chemotherapy and to identify the factors influencing the QoL.

METHODS

We conducted a retrospective observational study with 101 patients and collected data on weight loss (percentage of total body mass loss), QoL (EORTC-QLQ-C30 and EORTC-QLQ-OES-18), and symptom distress (MDASI-GI-C). The associations among weight loss, QoL, and symptom distress were assessed using Pearson's correlation. Multiple linear regression analysis was used to identify independent factors influencing patients' QoL scores.

RESULTS

The distribution of weight loss of each stage in survivors of oesophageal cancer was 1.00% (SD: 2.48%), 4.69% (SD: 4.73%), 1.66% (SD: 5.37%), 2.83% (SD: 4.89%) respectively. The mean QoL score was 66.24 (SD 18.65). The participants' mean symptom severity and symptom interference scores were 3.30 (SD 1.74) and 2.76 (SD 1.90), respectively. Weight loss and symptom distress were negatively related to patients' QoL (p < 0.05, p < 0.01, respectively). Weight loss between 6 months before diagnosis and the time of diagnosis (p < 0.05) and symptom interference (p < 0.01) were independent predictors for the QoL.

CONCLUSIONS

This study suggests that oesophageal cancer survivors with larger weight reduction between 6 months before diagnosis and the time of diagnosis and more symptom distress have a worse QoL. Clinicians should focus more on patients' weight and symptom management to improve their QoL.