Inflammation-based indexes and clinicopathologic features are strong predictive values of preoperative circulating tumor cell detection in gastric cancer patients. Clin Transl Oncol. 2017;19:1125-1132. [PMID: 28315180 DOI: 10.1007/s12094-017-1649-7]

Impact of self-expanding metal stents on long-term survival outcomes as a bridge to surgery in patients with colon cancer obstruction: Current state and future prospects

Since self-expanding metal stents (SEMS) were first introduced in acute colon cancer obstruction, the increased rate of primary anastomosis and improved quality of life following SEMS placement have been clearly shown. However, it was demonstrated that SEMS are associated with higher recurrence rates. Although several trials have shown that overall and disease-free survival in patients following SEMS placement is similar with patients undergoing emergency surgery, obstruction and a high incidence of recurrence imposed many concerns. The optimal time interval from SEMS to surgery is still a matter of debate. Some studies have recommended a time interval of ~2 weeks between SEMS insertion and elective surgery. A prolonged interval of time from SEMS insertion to elective surgery and the administration of neoadjuvant chemotherapy (NAC) has been proposed. SEMS-NAC might have advantages for improving the surgical and long-term survival outcomes of patients with acute colon cancer obstruction, which is an optional approach in the management of acute colon cancer obstruction.

Investigating the role of circulating tumor cells in gastric cancer: a comprehensive systematic review and meta-analysis

Investigating the role of circulating tumor cells (CTCs) and their characteristics is still controversial in patients with gastric cancer (GC). Therefore, in this study, to provide a comprehensive review and meta-analyses of the literature on association of CTCs with gastric cancer, Scopus, Web of Science, Embase, and Medline were searched for systematic reviews and meta-analyses conducted during February 2022 using the keywords. Risk of bias, hazard ratios (HRs), and risk differences (RD) were assessed. Forty-five studies containing 3,342 GC patients from nine countries were assessed. The overall prevalence of CTC in GC was 69.37% (60.27, 77.78). The pooled result showed that increased mortality in GC patients was significantly associated with positive CTCs, poor overall survival (HR = 2.73, 95%CI 2.34-3.24, p < 0.001), and progression-free survival rate (HR = 2.78, 95%CI 2.01-3.85, p < 0.001). Subgroup analyses regarding markers, detection methods, treatment type, presence of distance metastasis, presence of lymph node metastasis, and overall risk of bias showed significant associations between the groups in terms of the incidence rates of CTCs, OS, and PFS. In addition, the results of risk differences based on sampling time showed that the use of the cell search method (RD: - 0.19, 95%CI (- 0.28, - 0.10), p < 0.001), epithelial marker (RD: - 0.12, 95%CI (- 0.25, 0.00), p 0.05) and mesenchymal markers (RD: - 0.35, 95%CI (- 0.57, - 0.13), p 0.002) before the treatment might have a higher diagnostic power to identify CTCs and also chemotherapy treatment (RD: - 0.17, 95%CI (- 0.31, - 0.03), p 0.016) could significantly reduce the number of CTCs after the treatment. We also found that the risk differences between the clinical early and advanced stages were not statistically significant (RD: - 0.10, 95%CI (- 0.23, 0.02), P 0.105). Also, in the Lauren classification, the incidence of CTC in the diffuse type (RD: - 0.19, 95%CI (- 0.37, - 0.01), P0.045) was higher than that in the intestinal type. Meta-regression analysis showed that baseline characteristics were not associated with the detection of CTCs in GC patients. According to our systematic review and meta-analysis, CTCs identification may be suggested as a diagnostic technique for gastric cancer screening, and the outcomes of CTC detection may also be utilized in the future to create personalized medicine programs.

Diagnostic Utility of NLR, PLR and MLR in Early Diagnosis of Gastric Cancer: an Analytical Cross-Sectional Study

PURPOSE

Inflammatory markers such as neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and monocyte-to-lymphocyte ratio (MLR) are linked with the pathogenesis of gastric cancer (GC). However, the clinical significance of the combination of these markers is unclear. Hence, this study was carried out to determine the individual and combined diagnostic accuracy of NLR, PLR and MLR among patients with GC.

METHODS

In this prospective, cross-sectional study, patients were recruited into three groups, GC, precancerous lesions and age and gender-matched controls. The primary outcome was to determine the diagnostic accuracy of inflammatory markers in the diagnosis of GC. The secondary outcome was to determine the correlation of inflammatory markers with the stage of gastric cancer, nodal involvement and metastasis.

RESULTS

A total of 228 patients, 76 in each group, were enrolled. The cut-off value of NLR, PLR and MLR were 2.23, 146.8 and 0.26, respectively, for the diagnosis of GC. The diagnostic abilities of NLR, PLR and MLR were significantly high at 79, 75 and 68.4, respectively, to predict GC compared to precancerous and control groups. All the models of inflammatory markers showed excellent discrimination between GC and the controls with an AUC > 0.7. The models also showed acceptable discrimination between GC and the precancerous lesion group with AUC between 0.65 and 0.70. No significant difference was found in correlating inflammatory markers with clinicopathological features.

CONCLUSION

The discrimination capacity of the inflammatory markers could be used as screening biomarkers in diagnosing GC, even in its early stages.

A Novel Scoring System in Predicting Prognosis After Adjuvant FOLFOX Chemotherapy in Gastric Cancer

Purpose: To evaluate the impact of neutrophil-to-lymphocyte ratio (NLR) and preoperative prognostic nutritional index (PNI) on prognosis of gastric cancer (GC) after adjuvant FOLFOX chemotherapy. Materials and Methods: Data on 749 GC patients who received operation after by adjuvant FOLFOX chemotherapy between January 2013 and December 2015 were enrolled in this study, retrospectively. Receiver-operating characteristic curve analysis was employed to assess optimal cutoff thresholds for PNI and NLR. The GC subjects having a low PNI (<52.8) and high NLR (>1.79) received a score of 2. Any variable that met these standards was scored as 1. If none of the two variables met these standards of the patient was assigned a score of 0. Correlation between PNI-NLR score and GC stage was also evaluated. Results: The mean overall survival (OS) and 5-year OS rate for subjects with PNI-NLR = 2 was lower than those of subjects with PNI-NLR = 1, or 0 (40.9% vs. 52.1%, 76.4% [46.0 vs. 61.0], 68.0 months, p ≤ 0.001). In multivariate analyses, the PNI-NLR score (p ≤ 0.001) and WHO grade (p ≤ 0.001) showed potential to independently influence OS. Conclusions: High PNI-NLR scores can independently affect worse prognosis of GC. Thus, it can be utilized to differentiate low risk from high risk subjects.

Systemic immune-inflammation index in predicting non-curative resection of endoscopic submucosal dissection in patients with early gastric cancer

BACKGROUND AND PURPOSE

Although endoscopic submucosal dissection (ESD) is considered standard treatment for early gastric cancer (EGC), patients with non-curative resection (NCR) of ESD may still require gastrectomy. The systemic immune-inflammation index (SII) showed great potential in predicting the prognosis of gastric cancer patients. This study aims to investigate the predictive validity of SII of NCR in EGC patients.

METHODS

We reviewed data from EGC patients who underwent ESD in the past. The relationship between SII and clinicopathologic features was investigated. We used Receiver operating characteristic curves to compare the predictive values of NCR between SII and other inflammation indices. Binary logistic analysis was used to identify independent risk factors for NCR. These factors were then used to construct a predictive nomogram.

RESULTS

SII was associated with larger tumor size, male gender, older age, submucosal invasion, and a greater risk of NCR. SII showed better predictivity of NCR than platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR). SII [odds ratio (OR) = 1.003, P = 0.001], NLR (OR = 1.520, P = 0.029), PLR (OR = 1.009, P = 0.010), upper stomach tumors (OR = 16.393, P < 0.001), poorly differentiated type (OR = 29.754, P < 0.001), ulceration (OR = 4.814, P = 0.001), and submucosal invasion (OR = 48.91, P < 0.001) were independent risk factors for NCR. The nomogram model based on these factors exhibited superior concordance and accuracy.

CONCLUSION

SII could be considered a simple and effective predictor of NCR of ESD in EGC patients.

A neutrophil/lymphocyte Ratio as a Significant Predictor for Patients with low-risk and early-stage Extranodal NK-T-cell Lymphoma

Purpose

The neutrophil/lymphocyte ratio (NLR) is a novel prognostic marker in several malignancies, whereas its function in patients with early-stage extranodal NK-T-cell lymphoma (ENKTL) hasn't been explored. Therefore, we expolored the predictive value of NLR for early-stage ENKTL in this study.

Methods

We evaluated the prognostic value of NLR in 132 patients with early-stage ENKTL based on L-asparaginase-containing regimens. Their characteristics, treatment responses, survival outcomes, prognostic factors, and the prognostic value of NLR were analyzed.

Results

All patients were followed up for median 54 months. The optimal NLR cutoff value was 3.77 by receiver operating curve(ROC). For all patients, the complete response (CR) and the overall response rate (ORR) were 74.2% and 85.6%. Patients with NLR < 3.77 had higher CR and ORR than patients with NLR ≥ 3.77(CR, 81% vs. 53.1%; ORR, 90% vs. 71.9%). For all patients, the 3-year overall survival (OS) and progression-free survival (PFS) based on L-asparaginase-containing chemotherapy were 80.4% and 76%. Patients with NLR < 3.77 had better survival outcomes than patients with NLR ≥ 3.77(3-year OS, 86.9% vs. 60.3%, p = 0.002; 3-year PFS, 81.8% vs. 54.5%, p = 0.001). By univariate and multivariate analyses, NLR ≥ 3.77 was an independent poor prognostic factor for both OS and PFS. Additionally, NLR ≥ 3.77 was associated with poor survival outcomes in patients with low-risk International Prognostic Index (IPI) and Prognostic Index of Natural Killer lymphoma with Epstein-Barr virus (PINK-E).

Conclusion

A high NLR is a poor prognostic marker of survival in patients with early-stage ENKTL, and could be applied to risk-stratify for low-risk patients.

Orchestration of Collective Migration and Metastasis by Tumor Cell Clusters

Metastatic dissemination has lethal consequences for cancer patients. Accruing evidence supports the hypothesis that tumor cells can migrate and metastasize as clusters of cells while maintaining contacts with one another. Collective metastasis enables tumor cells to colonize secondary sites more efficiently, resist cell death, and evade the immune system. On the other hand, tumor cell clusters face unique challenges for dissemination particularly during systemic dissemination. Here, we review recent progress toward understanding how tumor cell clusters overcome these disadvantages as well as mechanisms they utilize to gain advantages throughout the metastatic process. We consider useful models for studying collective metastasis and reflect on how the study of collective metastasis suggests new opportunities for eradicating and preventing metastatic disease.

Effect of Perioperative Blood Transfusions and Infectious Complications on Inflammatory Activation and Long-Term Survival Following Gastric Cancer Resection

Background: The aim of this study was to evaluate the impact of perioperative blood transfusion and infectious complications on postoperative changes of inflammatory markers, as well as on disease-free survival (DFS) in patients undergoing curative gastric cancer resection. Methods: Multicenter cohort study in all patients undergoing gastric cancer resection with curative intent. Patients were classified into four groups based on their perioperative course: one, no blood transfusion and no infectious complication; two, blood transfusion; three, infectious complication; four, both transfusion and infectious complication. Neutrophil-to-lymphocyte ratio (NLR) was determined at diagnosis, immediately before surgery, and 10 days after surgery. A multivariate Cox regression model was used to analyze the relationship of perioperative group and dynamic changes of NLR with disease-free survival. Results: 282 patients were included, 181 in group one, 23 in group two, 55 in group three, and 23 in group four. Postoperative NLR changes showed progressive increase in the four groups. Univariate analysis showed that NLR change > 2.6 had a significant association with DFS (HR 1.55; 95% CI 1.06−2.26; p = 0.025), which was maintained in multivariate analysis (HR 1.67; 95% CI 1.14−2.46; p = 0.009). Perioperative classification was an independent predictor of DFS, with a progressive difference from group one: group two, HR 0.80 (95% CI: 0.40−1.61; p = 0.540); group three, HR 1.42 (95% CI: 0.88−2.30; p = 0.148), group four, HR 2.85 (95% CI: 1.64−4.95; p = 0.046). Conclusions: Combination of perioperative blood transfusion and infectious complications following gastric cancer surgery was related to greater NLR increase and poorer DFS. These findings suggest that perioperative blood transfusion and infectious complications may have a synergic effect creating a pro-inflammatory activation that favors tumor recurrence.

The Systemic Immune-Inflammation Index (SII) Increases the Prognostic Significance of Lymphovascular Invasion in Upper Tract Urothelial Carcinoma After Radical Nephroureterectomy

Purpose

Lymphovascular invasion (LVI) and systemic immune-inflammation index (SII) both have been proved to correlate with oncologic outcomes in upper tract urothelial carcinoma (UTUC). We hypothesize that integrating SII with LVI may be an aid for risk-stratification of prognosis. This study aimed to evaluate the prognostic significance of combined SII and LVI in patients with localized UTUC.

Patients and Methods

A retrospective analysis of clinicopathological data of 554 UTUC patients who underwent radical nephroureterectomy (RNU) was conducted. The SII was calculated using the equation (preoperative serum neutrophil*platelet/lymphocyte). Use of Kaplan-Meier analyses and Cox proportional hazards models were to evaluate associations of combining SII and LVI with overall survival (OS), cancer-specific survival (CSS), and progression-free survival (PFS). Furthermore, receiver operating characteristic (ROC) analysis was applied to estimate predictive ability of combining SII and LVI for oncological outcomes.

Results

Positive LVI was significantly associated with advanced stage, high grade, necrosis, lymph node metastasis, and high-level SII. Positive LVI and high-level SII co-existence was significantly associated with unfavorable OS, CSS, and PFS in Kaplan-Meier analyses (all p < 0.001) and was an independent indicator of OS, CSS, and PFS (HR [95% CI]: 3.918 [2.168-7.078], 5.623 [2.679-11.801], 3.377 [2.138-5.334]), respectively) in multivariate analyses. Furthermore, adding LVI and SII to a model that included standard pathologic predictors exhibited a better ability to predict survival in ROC analysis.

Conclusion

The integration of SII and LVI was demonstrated to be a potential factor of poor outcomes in patients with localized UTUC. Notably, the combined use of LVI and SII can be a feasible and complementary factor to TNM staging in the prognostic assessment of UTUC patients in clinical practice. The validity of combination of the two markers would be considered in future prospective studies to evaluate its usefulness in staging and application of post-operative chemo or immunotherapy.

Application progress of liquid biopsy in gastric cancer

Gastric cancer (GC) is one of the most common malignant tumors globally. Guiding the individualized treatment of GC is the focus of research. Obtaining representative biological samples to study the biological characteristics of GC is the focus of diagnosis and treatment of GC. Liquid biopsy technology can use high-throughput sequencing technology to detect biological genetic information in blood. Compared with traditional tissue biopsy, liquid biopsy can determine the dynamic changes of tumor. As a noninvasive auxiliary diagnostic method, liquid biopsy can provide diagnostic and prognostic information concerning the progression of the disease. Liquid biopsy includes circulating tumor cells, circulating tumor DNA, circulating tumor RNA, tumor educated platelets, exosomes, and cytokines. This article describes the classification of liquid biopsy and its application value in the occurrence, development, and therapeutic efficacy of GC.

In Early Breast Cancer, the Ratios of Neutrophils, Platelets and Monocytes to Lymphocytes Significantly Correlate with the Presence of Subsets of Circulating Tumor Cells but Not with Disseminated Tumor Cells

Simple Summary

Circulating tumor cells (CTCs) are potential precursors of metastasis and while travelling through the peripheral blood, they crosstalk with different blood cells before a few of them manage to settle down as disseminated tumor cells (DTCs). Little is known about the correlation of blood cells with CTCs/DTCs in early breast cancer (BC). We retrospectively recorded clinical data, results for CTCs, DTCs and blood cell counts from 171 early staged diagnosed BC patients and demonstrated that the presence of epithelial CTCs was related to reduced lymphocyte and monocyte counts, to elevated neutrophil to lymphocyte and platelet to lymphocyte ratios while CTCs in epithelial mesenchymal transition associated with a reduced monocyte to lymphocyte ratio. No significant correlations were found for DTCs, however, DTC-positive patients, harboring a lower platelet to lymphocyte ratio, had a significant shorter overall survival. We confirm that pro-inflammatory markers in blood are closely related to the presence of CTC subtypes, the precursors of metastasis.

Abstract

Circulating tumor cells (CTCs) crosstalk with different blood cells before a few of them settle down as disseminated tumor cells (DTCs). We evaluated the correlation between CTC subtypes, DTCs and the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and monocyte to lymphocyte ratio (MLR) for better prognostication of 171 early staged diagnosed breast cancer (BC) patients. —Clinical data and blood values before treatment were retrospectively recorded, representing the 75% percentile, resulting in 3.13 for NLR, 222.3 for PLR and 0.39 for MLR, respectively. DTCs were analyzed by immunocytochemistry using the pan-cytokeratin antibodyA45-B/B3. CTCs were determined applying the AdnaTests BreastCancerDetect and EMT (Epithelial Mesenchymal Transition) Detect. —Reduced lymphocyte (p = 0.007) and monocyte counts (p = 0.012), an elevated NLR (p = 0.003) and PLR (p = 0.001) significantly correlated with the presence of epithelial CTCs while a reduced MLR was related to EMT-CTCs (p = 0.045). PLR (p = 0.029) and MLR (p = 0.041) significantly related to lymph node involvement and monocyte counts significantly correlated with OS (p = 0.034). No correlations were found for NLR, PLR and MLR with DTCs, however, DTC-positive patients, harboring a lower PLR, had a significant shorter OS (p = 0.043). —Pro-inflammatory markers are closely related to different CTC subsets. This knowledge might improve risk prognostication of these patients.

Combined analysis of preoperative and postoperative lymphocyte-C-reactive protein ratio precisely predicts outcomes of patients with gastric cancer

Background

The systemic inflammatory response resulting from the complex interactions between cancer and the host plays an important role in cancer development. Recently, the lymphocyte-C-reactive protein ratio (LCR), which is a hematological and biochemical marker that reflects the systemic inflammatory response and nutritional status, has been reported to be associated with poor survival. Similar results were observed in patients with certain cancer types. However, these studies focused on the preoperative LCR, and thus far, no studies have reported the relationship between postoperative LCR and prognosis in patients with gastric cancer (GC).

Methods

This study enrolled 455 patients with a histopathological diagnosis of gastric adenocarcinoma who underwent curative surgery at our institution between 2005 and 2018. The relationship between both the preoperative and postoperative LCR and the prognosis of patients with GC was retrospectively investigated.

Results

Preoperative LCR showed significant correlations with tumor-related factors, such as tumor size, depth of invasion, and lymph node metastasis. By contrast, no correlation was observed between postoperative LCR and tumor-related factors. The 5 year survival rate was significantly worse in patients with low preoperative LCR than in those with high preoperative LCR (65.4% vs. 83.9%, p < 0.0001). Similarly, the 5 year survival rate was also significantly worse in patients with low postoperative LCR than in those with high postoperative LCR (67.0% vs. 84.1%, p < 0.0001). Furthermore, combination analysis of the pre- and postoperative LCR revealed that the prognosis of patients with both low pre- and postoperative LCR was worse in patients with GC (5 year survival rate was 52.0%). A multivariate analysis indicated that a low pre- and postoperative LCR and age and lymph node metastasis were independent prognostic indicators.

Conclusions

The combination of preoperative and postoperative LCR appears to be useful in predicting the prognosis of patients with GC.

A novel inflammation-related prognostic biomarker for predicting the disease-free survival of patients with colorectal cancer

Background

To develop and evaluate the prognostic value of a comprehensive inflammatory biomarker for postoperative colorectal cancer (CRC) patients.

Methods

A total of 646 CRC patients were recruited between August 2017 and December 2019 from Fujian Medical University Union Hospital, with follow-up data up to 2021. The least absolute shrinkage and selection operator method (LASSO) was used to select inflammation indicators in order to construct a comprehensive biomarker (named NSAP). The Cox regression model was utilized to analyze the association between the NSAP and the disease-free survival (DFS) of CRC. Predictive performance and clinical utility of prognostic models were evaluated by area under the curve (AUC) and decision curve analyses (DCAs).

Results

During a median follow-up of 23 months, 95 clinical outcomes were observed, with a 1-year survival rate is 89.47%. A comprehensive inflammatory biomarker (NSAP) was established based on four blood indicators (including neutrophil-to-lymphocyte ratio (NLR), neutrophil×monocyte-to-lymphocyte ratio (SIRI), albumin-to-globulin ratio (AGR), and platelet-to-lymphocytes ratio (PLR)). Patients with a lower NSAP had significantly associated with better DFS of CRC (HR=0.53, 95%CI 0.32–0.89). Moreover, compared to a previously established model, the traditional TNM staging system or/and tumor markers, the nomogram based on NSAP displayed more excellent predictive ability (0.752 vs 0.597, 0.711 and 0.735, P < 0.05). DCAs also demonstrated that the established nomogram had better utility for decision making.

Conclusions

Our study suggests that NSAP may be a useful comprehensive prognostic biomarker for predicting the DFS of CRC patients. The nomogram based on NSAP can be considered a valuable tool to estimate the prognosis of patients with CRC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12957-022-02550-0.

Distinct molecular phenotype and the potential prognostic value of immune prognostic index and tumor infiltrating lymphocytes in hepatoid adenocarcinoma of stomach

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Molecular classification of HAS should be mainly categorized into GS and CIN phenotypes with TP53 mutation.

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TILs and dNLR may help to screen appropriate candidates for ICIs treatment in HAS.

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dNLR demonstrated the potentiality as a reliable and economic predictor of prognosis in HAS.

Hepatoid adenocarcinoma of the stomach (HAS) is a particular subtype of Gastric cancer (GC) with distinct pathological characteristics and genetic profile, but most HAS patients were received identical regimens as common GC. To date, only a few studies has been conducted to investigate the molecular characteristics of HAS, which may prevent the rational application of new anticancer strategies. To further obtain the genetic features and potential predictive and prognostic biomarkers of HAS, our current study evaluated the clinical implications of spectrum molecular markers in 36 surgical resection specimens. None Epstein-Barr virus (EBV) positive and/or micro-satellite instable high (MSI-h) tumors occurred in our study implies that the molecular classification of HAS should be mainly categorized into genomic stable (GS) and chromosomal instability (CIN) phenotypes, and wild type P53 status predicts better prognosis. More importantly, although the prognosis and clinical characteristics were independent of programmed cell death-ligand 1 (PD-L1), the presence of tumor infiltrating lymphocytes (TILs) still suggested that a portion of the enrolled HAS patients are potentially appropriate candidates for immune checkpoint blockade therapy. Additionally, the immune prognostic index (IPI) and derived neutrophil to lymphocyte ratio (dNLR) demonstrated their potential as reliable and economic indicators for predicting prognosis of HAS. We hope this first systematic evaluation will help in deciphering the molecular characterization and potential individualized regimens for this particular subtype of GC.

The time-series behavior of systemic inflammation-immune status in predicting survival of locally advanced non-small cell lung cancer treated with chemoradiotherapy

Background

Systematic inflammation is believed to play a crucial role in tumorigenesis and metastasis. This study aims at evaluating the prognostic value of time-series behavior of systematic inflammation-immune status before and after definitive chemoradiotherapy (dCRT) in patients with locally advanced non-small cell lung cancer (LA-NSCLC).

Methods

The relationship between systematic inflammation-immune score (SIS, defined as pretreatment peripheral platelet count × neutrophil count/lymphocyte count) and the prognosis was tested in a retrospective study of 386 consecutive LA-NSCLC patients (Group A) with pretreatment SIS and 161 patients (Group B) with SIS before and one month after the dCRT.

Results

SIS of 1400 × 109 was found to be an optimal cutoff point to stratify the patients into high (>1400 × 109) and low (≤1400 × 109) SIS groups. Univariate and multivariate analyses revealed that the SIS, whether before or after dCRT, was an independent predictor for overall survival (OS), progress-free survival (PFS), and distant metastasis-free survival (DMFS). High SIS (>1400 × 109) was shown to predict poor 3-year OS (P=0.006, hazard ratio [HR]=2.427), PFS (P=0.001, HR=2.442) and DMFS (P=0.015, HR=2.119). However, SIS was not related to local regional recurrence-free survival in either Group A (P=0.346) or Group B (P=0.486). Further, the area under the receiver operating characteristic curve of the SIS for OS was higher than the neutrophil count/lymphocyte count ratio, platelet count/lymphocyte count ratio, and other conventional clinic-pathological indices.

Conclusions

The SIS is a stable and more sensitive survival predictor than other inflammation-based factors and conventional clinical indices, which may aid in more accurately stratifying patients for risk assessment and treatment decisions.

Transcriptomic profiling of single circulating tumor cells provides insight into human metastatic gastric cancer

Transcriptome analysis of circulating tumor cells (CTCs), which migrate into blood vessels from primary tumor tissues, at the single-cell level offers critical insights into the biology of metastasis and contributes to drug discovery. However, transcriptome analysis of single CTCs has only been reported for a limited number of cancer types, such as multiple myeloma, breast, hepatocellular, and prostate cancer. Herein, we report the transcriptome analysis of gastric cancer single-CTCs. We utilized an antigen-independent strategy for CTC isolation from metastatic gastric cancer patients involving a size-dependent recovery of CTCs and a single cell isolation technique. The transcriptomic profile of single-CTCs revealed that a majority of gastric CTCs had undergone epithelial-mesenchymal transition (EMT), and indicated the contribution of platelet adhesion toward EMT progression and acquisition of chemoresistance. Taken together, this study serves to employ CTC characterization to elucidate the mechanisms of chemoresistance and metastasis in gastric cancer.

Nomogram based on prognostic nutrition index and Chest CT imaging signs predicts lymph node metastasis in NSCLC patients

OBJECTIVE

To establish and validate a model capable of predicting lymph node metastasis (LNM) of non-small cell lung cancer (NSCLC) patients.

METHODS

Preoperative clinical and CT imaging data on patients with NSCLC undergoing surgery were retrospectively analyzed. A model was developed using a training cohort of 290 patients. The univariate analysis followed by dichotomous logistic regression was performed to estimate different risk factors of lymph node metastasis, and a nomogram was constructed. Using another testing cohort of 120 patients, the performance of the nomogram was validated using several evaluation methods and indices and evaluated including via the area under the curve (AUC), calibration curve, Hosmer-Lemeshow test and decision curve analysis (DCA).

RESULTS

CT-based imaging signs were important independent risk factors for lymph node metastasis in NSCLC patients. The possible risk factors also included four other independent risk factors through dichotomous logistic regression, i.e., age, SIRI, PNI and CEA, which were filtered and included in the nomogram. Nomogram yields AUC values of 0.828 [95% confidence interval (CI): 0.778-0.877] in the training cohort and 0.816 (95% CI: 0.737-0.895) in the validation cohort, respectively. The calibration curves showed high agreement in both the training and validation cohorts. At the threshold probability of 0-0.8, the nomogram increases the net outcomes compared to the treat-none and treat-all lines in the decision curve.

CONCLUSIONS

The nomogram based on the PNI and CT images signs holds promise as a novel and accurate tool for predicting the LNM in NSCLC patients and guiding intraoperative lymph node dissection.

Circulating Tumour Cell Numbers Correlate with Platelet Count and Circulating Lymphocyte Subsets in Men with Advanced Prostate Cancer: Data from the ExPeCT Clinical Trial (CTRIAL-IE 15-21)

Simple Summary

Cancer cells (CTCs) can be found in the bloodstream in men with advanced prostate cancer. Blood platelets, which normally help the blood to clot, may help the cancer cells to spread throughout the body by preventing the body’s immune system from finding and destroying them while they are in the bloodstream. Blood samples were taken from men with prostate cancer who were involved in the ExPeCT clinical trial, some of whom were taking part in a regular exercise programme. The numbers of CTCs, platelets and immune system cells were counted and compared. Blood samples with more CTCs had higher numbers of platelets and higher numbers of some types of immune system cells. Some differences were also found in men involved in the exercise programme. This study helps to show that CTCs numbers are related to platelet and immune cell numbers in the blood.

Abstract

Interactions between circulating tumour cells (CTCs) and platelets are thought to inhibit natural killer(NK)-cell-induced lysis. We attempted to correlate CTC numbers in men with advanced prostate cancer with platelet counts and circulating lymphocyte numbers. Sixty-one ExPeCT trial participants, divided into overweight/obese and normal weight groups on the basis of a BMI ≥ 25 or <25, were randomized to participate or not in a six-month exercise programme. Blood samples at randomization, and at three and six months, were subjected to ScreenCell filtration, circulating platelet counts were obtained, and flow cytometry was performed on a subset of samples (n = 29). CTC count positively correlated with absolute total lymphocyte count (r² = 0.1709, p = 0.0258) and NK-cell count (r² = 0.49, p < 0.0001). There was also a positive correlation between platelet count and CTC count (r² = 0.094, p = 0.0001). Correlation was also demonstrated within the overweight/obese group (n = 123, p < 0.0001), the non-exercise group (n = 79, p = 0.001) and blood draw samples lacking platelet cloaking (n = 128, p < 0.0001). By flow cytometry, blood samples from the exercise group (n = 15) had a higher proportion of CD3+ T-lymphocytes (p = 0.0003) and lower proportions of B-lymphocytes (p = 0.0264) and NK-cells (p = 0.015) than the non-exercise group (n = 14). These findings suggest that CTCs engage in complex interactions with the coagulation cascade and innate immune system during intravascular transit, and they present an attractive target for directed therapy at a vulnerable stage in metastasis.

Nomogram based on pre-treatment inflammatory biomarkers predicting survival in patients with head and neck soft tissue sarcoma

BACKGROUND

Systemic inflammatory biomarkers reflect level of inflammatory response, which have been suggested as prognostic factors in cancer patients.

OBJECTIVE

To estimate the prognostic value of inflammatory biomarkers in 149 patients with head and neck soft tissue sarcoma (HNSTS).

METHODS

Pre-treatment neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), neutrophil-platelet score (NPS) and Aarhus Composite Biomarker Score (ACBS) were analyzed for association with overall survival (OS) and progression-free survival (PFS). Nomograms were consisted of independent predictors for OS and PFS, and evaluated by calibration curve and concordance index (C-index).

RESULTS

In multivariate analysis, LMR (HR = 0.42, 95% CI: 0.19-0.94, P= 0.035), ACBS (HR = 2.05, 95% CI: 1.02-4.12, P= 0.045) and AJCC stage were independent prognostic markers of OS. Moreover, high NLR (HR = 1.78, 95% CI: 1.07-2.94, P= 0.024) and advanced AJCC stage were independently related with worse PFS. Calibration curves reflected good discriminative ability of prognosis. The nomograms showed better accuracy of predicting OS (C-index: 0.748 vs. 0.690, P= 0.009) and PFS (C-index: 0.644 vs. 0.612, P= 0.028) than stage.

CONCLUSIONS

Pre-treatment LMR, ACBS and AJCC stage were effective predictor of OS. The NLR and AJCC stage could independently predict PFS. The nomogram might act as a promising prognostic model for OS and PFS in HNSTS.

The Prognostic Significance of Sarcopenia and the Neutrophil-to-Lymphocyte Ratio in Elderly Patients with Esophageal Squamous Cell Carcinoma

Objective

To evaluate the correlation between systemic inflammation markers and sarcopenia in elderly patients with esophageal squamous cell carcinoma (ESCC) and their prognostic value.

Materials and Methods

The clinical data of 121 elderly patients with ESCC were collected. The skeletal muscle area at the level of the third lumbar vertebrae (L3) was measured by computed tomography (CT), and then the skeletal muscle index (SMI) was calculated. The neutrophil-to-lymphocyte ratio (NLR), prognostic nutritional index (PNI) and Geriatric Nutritional Risk Index (GNRI) were calculated according to laboratory standards. Univariate and multivariate Cox proportional hazards models were used to determine prognostic factors for overall survival (OS).

Results

A total of 121 elderly ESCC patients were enrolled. Among them, 65 patients had sarcopenia. NLR, PNI and GNRI are significantly related to sarcopenia. The OS of ESCC patients with sarcopenia and/or NLR>2.24 was significantly worse.

Conclusion

PNI, GNRI, NLR and sarcopenia were significantly related. Sarcopenia and NLR are independent prognostic factors for elderly ESCC, and when combined have better prognostic value.

The prognostic roles of the prognostic nutritional index in patients with intraductal papillary mucinous neoplasm

The preoperative accurate diagnosis is difficult in the patients with intraductal papillary mucinous neoplasm (IPMN). The aim of the present study was to elucidate the roles of systemic inflammation responses and nutritional status indexes in IPMN. High-grade dysplasia was classified as a malignant neoplasm in the study. We retrospectively reviewed 155 patients who underwent pancreatectomy. The correlation between the clinical factors and several indexes of a systemic inflammation response and nutritional status was analyzed. Among the biomarkers, prognostic nutritional index (PNI) value of malignant IPMN patients was significantly lower than that of benign IPMN patients (P = 0.023), whereas PNI was not significant predictor for malignant IPMN. The multivariate analysis showed that a PNI < 43.5 (odds ratio [OR] 16.1, 95% CI 1.88–138.5, P = 0.011) and a carbohydrate antigen (CA) 19–9 level > 22.5 U/mL (OR 6.64, 95% CI 1.73–25.6, P = 0.006) were significant independent predictors of the presence of lymph node metastasis (LNM). Our scoring system developed based on these two factors. Patients with a score of 0 had no LNM and zero disease-related death. The present study suggested the roles of PNI on the IPMN patients who undergo curative pancreatectomy.

The systemic immune-inflammation index (SII) is an independent prognostic parameter of survival in patients with invasive vulvar cancer

Objective

To assess the prognostic value of the systemic immune-inflammation index (SII) in patients with vulvar cancer.

Methods

Data of 130 consecutive patients who underwent primary surgical resection for vulvar cancer at the Medical University of Vienna between 1999 and 2018 was retrospectively analyzed. The SII was defined as platelets × neutrophils/lymphocytes as previously described. Its prognostic value on disease-specific survival (DSS) and overall survival (OS) was evaluated by univariate log-rank tests and multivariable cox regression models. Prediction accuracy was assessed by receiver operating characteristics curves and Youden's J statistics. A Hosmer-Lemeshow test was performed to confirm the model's goodness of fit.

Results

A pre-therapeutic high serum SII (>866.4) was associated with advanced International Federation of Gynecology and Obstetrics (FIGO)-stage. In univariate survival analysis, a high SII was associated with both DSS (p<0.001) and OS (p=0.001). A multivariate cox regression model confirmed the prognostic value of SII regarding DSS (p<0.001) and OS (p=0.014) independently from patients' age and FIGO stage.

Conclusions

Pretherapeutic SII may serve as a promising predictor for survival in patients with vulvar cancer. After clinical validation, the SII may be used to improve both pre-treatment patient risk stratification and patient counseling.

Clinical significance of peripheral blood-derived inflammation markers in advanced gastric cancer after radical resection

Background

The prognostic significance of peripheral blood-derived inflammation markers in patients with gastric cancer (GC) has not been elucidated. This study aimed to investigate the relationship between systemic inflammatory markers and GC prognosis.

Methods

A prospective observational cohort study involving 598 patients was conducted to analyze the prognosis of GC based on systemic inflammatory markers. The following peripheral blood-derived inflammation markers were evaluated: the neutrophil-lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), systemic immune-inflammation index (SII), C-reactive protein/albumin (CRP/Alb) ratio, Glasgow Prognostic Score (GPS), modified Glasgow Prognostic Score (mGPS), prognostic nutrition index (PNI), and prognostic index (PI). The receiver operating characteristics (ROC) curve and the Youden index were used to determine the optimal cutoff values. Univariate and multivariate analysis of prognostic factors was conducted accordingly.

Results

The optimal cutoff values of the PNI, fibrinogen, NLR, PLR, SII, and CRP/Alb were 49.5, 397 ng/dl, 2.5, 154, 556, and 0.05, respectively. Multivariate analysis showed that age, PLR, TNM stage, and chemotherapy were the independent prognostic factors for advanced gastric cancer (AGC). Adjuvant chemotherapy improved the long-term prognosis of patients with PLR ≥154, but chemotherapy had no significant effect on the survival of patients with PLR < 154.

Conclusions

Our findings show that higher PLR (≥154) is an independent risk factor for poor prognosis in GC patients. Besides, PLR can predict adjuvant chemotherapy (oxaliplatin/5-fluorouracil combination) response in patients with GC after surgery.

Modeling of the immune response in the pathogenesis of solid tumors and its prognostic significance

BACKGROUND

Tumor initiation and subsequent progression are usually long-term processes, spread over time and conditioned by diverse aspects. Many cancers develop on the basis of chronic inflammation; however, despite dozens of years of research, little is known about the factors triggering neoplastic transformation under these conditions. Molecular characterization of both pathogenetic states, i.e., similarities and differences between chronic inflammation and cancer, is also poorly defined. The secretory activity of tumor cells may change the immunophenotype of immune cells and modify the extracellular microenvironment, which allows the bypass of host defense mechanisms and seems to have diagnostic and prognostic value. The phenomenon of immunosuppression is also present during chronic inflammation, and the development of cancer, due to its duration, predisposes patients to the promotion of chronic inflammation. The aim of our work was to discuss the above issues based on the latest scientific insights. A theoretical mechanism of cancer immunosuppression is also proposed.

CONCLUSIONS

Development of solid tumors may occur both during acute and chronic phases of inflammation. Differences in the regulation of immune responses between precancerous states and the cancers resulting from them emphasize the importance of immunosuppressive factors in oncogenesis. Cancer cells may, through their secretory activity and extracellular transport mechanisms, enhance deterioration of the immune system which, in turn, may have prognostic implications.

Clinical Significance of Red Cell Distribution Width and Circulating Tumor Cells with an Epithelial-Mesenchymal Transition Phenotype in Lung Adenocarcinoma

Objective

To determine the prognostic value of red cell distribution width (RDW) and circulating tumor cells with epithelial–mesenchymal transition phenotype (M-CTC) in lung adenocarcinoma (LUAD).

Patients and Methods

Clinical and laboratory data of 60 patients with LUAD were collected. CTCs were isolated from their peripheral blood using the CanPatrol^TM CTC enrichment method. The indicators of RDW and neutrophil lymphocyte ratio (NLR) were calculated based on the laboratory standards.

Results

A total of 60 LUAD patients were enrolled, of which 19 (31.7%) had high RDW (>0.14) and 32 (53.3%) were positive for M-CTCs. There was no significant correlation between RDW and the clinical characteristics. M-CTC was not significantly associated with tumor size and differentiation, age, gender, tumor stage, and histological type but correlated significantly with lymphatic metastasis (P = 0.044), high NLR (>2.26, P = 0.023), and high RDW (>0.14, P = 0.036). Furthermore, the M-CTC⁺ LUAD patients had a significantly poor recurrence-free survival (RFS; Log rank P =0.001, HR = 2.749, 95% CI = 1.489–5.078) and overall survival (OS; Log rank P =0.022, HR = 2.283, 95% CI = 1.128–4.622) compared to the M-CTC⁻ patients. Similarly, high RDW also correlated with worse RFS (Log rank P = 0.008, HR = 2.331, 95% CI = 1.248–4.353) and OS (Log rank P = 0.004, HR = 0.004, 95% CI = 1.398–5.525).

Conclusion

M-CTC is significantly related to RDW and NLR, and an independent prognostic factor in LUAD.

Development and validation of a novel nomogram to predict overall survival in gastric cancer with lymph node metastasis

Gastric cancer (GC) with lymph node metastasis (LNM) at diagnosis is associated with a unstable prognosis and indefinite survival times. The aim of the present study was to construct and validate a model for the Overall survival (OS) estimation for patients with LNM. The nomogram was constructed to predict the OS for LNM-positive GC using the primary group of 836 patients and validated using an independent cohort of 411 patients. Factors in the nomogram were identified by multivariate Cox hazard analysis. The predictive capability of nomogram was evaluated by calibration analysis and decision curve analysis. Multivariate analysis suggested that eight pre-treatment characteristics were used for developing the nomogram. In the primary cohort, the C-index for OS prediction was 0.788 (95% CI: 0.753-0.823), while in validation cohort, the C-index for OS prediction was 0.769 (95% CI: 0. 720-0.818). The calibration plot for the probability of OS and decision curve analyses showed an optimal agreement. Based on the nomogram, we could divided patients into three groups: low-risk group, middle-risk group and a high-risk group(p <0.001).Taken together, we have provided an easy-to-used and accurate tool for predicting OS, furthermore could be used for risk stratification of OS of LNM-positive GC patients.

Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer

BACKGROUND

Because of the powerful abilities of self-learning and handling complex biological information, artificial neural network (ANN) models have been widely applied to disease diagnosis, imaging analysis, and prognosis prediction. However, there has been no trained preoperative ANN (preope-ANN) model to preoperatively predict the prognosis of patients with gastric cancer (GC).

AIM

To establish a neural network model that can predict long-term survival of GC patients before surgery to evaluate the tumor condition before the operation.

METHODS

The clinicopathological data of 1608 GC patients treated from January 2011 to April 2015 at the Department of Gastric Surgery, Fujian Medical University Union Hospital were analyzed retrospectively. The patients were randomly divided into a training set (70%) for establishing a preope-ANN model and a testing set (30%). The prognostic evaluation ability of the preope-ANN model was compared with that of the American Joint Commission on Cancer (8^th edition) clinical TNM (cTNM) and pathological TNM (pTNM) staging through the receiver operating characteristic curve, Akaike information criterion index, Harrell's C index, and likelihood ratio chi-square.

RESULTS

We used the variables that were statistically significant factors for the 3-year overall survival as input-layer variables to develop a preope-ANN in the training set. The survival curves within each score of the preope-ANN had good discrimination (P < 0.05). Comparing the preope-ANN model, cTNM, and pTNM in both the training and testing sets, the preope-ANN model was superior to cTNM in predictive discrimination (C index), predictive homogeneity (likelihood ratio chi-square), and prediction accuracy (area under the curve). The prediction efficiency of the preope-ANN model is similar to that of pTNM.

CONCLUSION

The preope-ANN model can accurately predict the long-term survival of GC patients, and its predictive efficiency is not inferior to that of pTNM stage.

Exploring the value of new preoperative inflammation prognostic score: white blood cell to hemoglobin for gastric adenocarcinoma patients

Background

The platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), and neutrophil to lymphocyte ratio (NLR) reflect the systematic inflammatory response, with some evidence revealing that they are associated with poorer survival in patients with gastric cancer. However, the effect of the white blood cell to hemoglobin ratio (WHR) on the long-term prognosis of patients with gastric cancer has not been reported. Therefore, we sought to characterize the effect of WHR on long-term survival after radical gastrectomy and compare its value with that of other preoperative inflammation-based prognostic scores (PIPS).

Methods

Data from 924 patients with a diagnosis of nonmetastatic gastric adenocarcinoma who underwent surgical resection between December 2009 and May 2013 were included in this study.

Results

The optimal cutoff values for the WHR, PLR, LMR, and NLR were 2.855, 133.03, 3.405, and 2.61, respectively. Patients with an increased WHR (53% vs. 88.1%, p < 0.001), PLR (60.9% vs 75.6%, p < 0.001) and NLR (56.7% vs 72.8%, p < 0.001) and a decreased LMR (54% vs 74.5%, p < 0.001) had a significantly decreased 5-year OS. However, the stratified analysis showed that only the WHR predicted a significant 5-year survival rate difference at each stage as follows: stage I (82.7% vs 94.3%, p = 0.005), stage II (71.3% vs 90.2%, p = 0.001) and stage III (38.2% vs 58.1%, p < 0.001). The time-ROC curve showed that the predictive value of the WHR was superior to that of the PLR, LMR, and NLR during follow-up. The WHR (0.624) C-index was significantly greater than the PLR (0.569), LMR (0.584), and NLR C-indexes (0.56) (all P < 0.001).

Conclusion

Compared with other PIPS, the WHR had the most powerful predictive ability when used for the prognosis of patients with gastric adenocarcinoma.

Systemic Inflammation-Immune Status Predicts Survival in Stage III-N2 Non-Small Cell Lung Cancer

BACKGROUND

Systematic inflammation-immune status has been thought to play a crucial role in tumorigenesis and progress. This study evaluated the prognostic value of systematic inflammation-immune status in patients with resected non-small cell lung cancer with pathological N2 nodal involvement (pN2-NSCLC).

METHODS

The relation between the preoperative systematic inflammation-immune score (SIS), defined as preoperative peripheral platelet count × neutrophil count/lymphocyte count, and prognosis was tested in a retrospective study of 660 consecutive patients with completed resected pN2-NSCLC and validated by a prospective study of 189 patients enrolled (NCT00880971).

RESULTS

SIS of 650 × 10⁹ was an optimal cutoff point to stratify the patients with pN2-NSCLC into high (>650 × 10⁹) and low (≤650 × 10⁹) SIS groups in the training cohort. Univariate and multivariate analyses revealed that the SIS was an independent predictor for overall survival, disease-free survival, and distant metastasis-free survival. In the validation group, high SIS (>650 × 10⁹) predicted poor 5-year overall survival (hazard ratio [HR], 2.418; P = .006), disease-free survival (HR, 1.542; P = .042), and distant metastasis-free survival (HR, 1.682; P = .024). In addition to the number of positive lymph nodes, the area under the receiver operating characteristic curve of the SIS for outcomes was higher than the neutrophil count-to-lymphocyte count ratio, platelet count-to-lymphocyte count ratio, and other conventional clinicopathologic indices.

CONCLUSIONS

The preoperative SIS is a more sensitive survival predictor than most of the other conventional clinical indices and may aid in more accurately stratifying patients for risk assessment and treatment decision.

Combined Features Based on Preoperative Controlling Nutritional Status Score and Circulating Tumour Cell Status Predict Prognosis for Colorectal Cancer Patients Treated with Curative Resection

Background: The preoperative controlling nutritional status (CONUT) score and circulating tumour cell (CTC) status are associated with poor prognosis of colorectal cancer (CRC). The aim of the present study is to determine whether the combination of CONUT and CTC (CONUT-CTC) could better predict the prognosis of CRC patients treated with curative resection.

Methods: Preoperative CONUT score was retrospectively calculated in 160 CRC patients who underwent curative resection at Zhongnan Hospital of Wuhan University from 2015 to 2017. Preoperative CTC counts were enumerated from 5 ml peripheral vein blood by a CTCBIOPSY® device. According to the preoperative CONUT and CTC status, the patients were divided into three groups: CONUT-CTC (0), CONUT-CTC (1) and CONUT-CTC (2). The relationship between CONUT score and CTC, as well as the associations of CONUT-CTC status with clinicopathological factors and survival, were evaluated.

Results: Preoperatively, the number and positive rate of CTC were positively correlated with the preoperative CONUT score (P<0.01). An elevated CONUT-CTC score was significantly associated with deeper tumour invasion (P=0.025), lymphatic vessel invasion (P=0.002), venous invasion (P<0.001) and higher pTNM stage (P=0.033). Kaplan-Meier analysis and log-rank tests revealed significant decreases in recurrence-free survival (RFS) and cancer-specific survival (CSS) among CRC patients with CONUT-CTC score of 0, 1 and 2 (P<0.001). In pTNM stage-stratified analysis, high CONUT-CTC score was significantly associated with the poor (P<0.001) and CSS (P<0.001) of patients with stage III disease, but not correlated with the prognosis of patients with stage II disease (RFS: P=0.077; CSS: P<0.090). Further univariate and multivariate analyses showed that CONUT-CTC was an independent factor affecting patients' RFS [hazard ratio (HR)=2.66, 95% confidence interval (CI):1.79-3.96, P<0.001] and CSS (HR=3.75, 95%CI: 2.14-6.57, P<0.001). In time-dependent receiver operating characteristics (ROC) analyses, CONUT-CTC score had a higher area under the ROC curve (AUC) for the prediction of RFS and CSS than did preoperative CONUT score or CTC status.

Conclusion: The preoperative CONUT-CTC score is associated with tumour progression and poor prognosis in patients with CRC treated with curative resection, indicating that better information on CRC prognosis could be obtained from combined preoperative host immune-nutritional status and CTC detection.

Prognostic value of pre- and post-operative circulating tumor cells detection in colorectal cancer patients treated with curative resection: a prospective cohort study based on ISET device

Background

Circulating tumor cells (CTCs) have been regarded as a promising biomarker for colorectal cancer (CRC); however, the prognostic value of post-operative (op) CTCs is still unclear. This study aimed to compare the recurrence prediction value of pre- and post-op CTCs in CRC patients treated with curative resection.

Patients and methods

Consecutive CRC patients treated with curative resection from January 2014 to March 2015 were identified. CTCs from 2.5 mL peripheral blood were enumerated with an ISETdevice-CTCBIOPSY^® before and after surgery. Based on the status of pre- and post-op CTCs, the included patients were grouped into four cohorts: pre- and post-op CTCs−, pre-op CTCs− but post-op CTCs+, pre-op CTCs+ but post-op CTCs−, and pre- and post-op CTCs+. The 3-year recurrence-free survival (RFS) rate of patients was analyzed.

Results

A total of 138 patients (79 [57.2%] male; median age=62 [43–75] years) were enrolled. Patients with pre-op CTCs− had a 19.2% higher 3-year RFS rate (86.2%) than the combined cohorts with pre-op CTCs+ (67.0%) (P=0.038). Patients with post-op CTCs+ had aa 25.6% lower 3-year RFS rate (57.1%) than the combined cohorts with post-op CTCs− (82.7%) (P=0.001). Moreover, patients with pre- and post-op CTCs+ had a 25.1% lower 3-year RFS rate (53.8%) than patients with pre-op CTCs+ but post-op CTCs− (78.9%) (P=0.004). Multivariate analyses confirmed that post-op CTCs+ (HR=2.82, 95% CI=1.39–5.75, P=0.004), but not but pre-op CTCs+ (HR=2.17, 95% CI=0.75–6.31, P=0.153), was independently associated with shorter 3-year RFS rate.

Conclusion

Post-op CTCs+, but not pre-op CTCs+, is an independent indicator of poor prognosis for CRC patients treated with curative resection. Patients with post-op CTCs+ have a higher risk of recurrence those with pre-op CTCs+. Evaluation of post-op, rather than pre-op, CTCs is warranted.

Prognostic value of Systemic immune-inflammation index in cancer: A meta-analysis

Systemic immune-inflammation index (SII), on the basis of lymphocyte, neutrophil and platelet counts had been published to be a good prognostic factor in multiple cancers. Nevertheless, the prognostic value of SII in cancer patients remains inconsistent. Therefore, we carried out a meta-analysis to evaluate the prognostic value of SII in these patients with cancer. A total of 22 articles with 7657 patients enrolled in this meta-analysis. The combined result revealed that a high SII was evidently correlated with poor overall survival (OS) (HR=1.69, 95%CI=1.42-2.01, p<0.001), poor time to recurrent (TTR) (HR=1.87, p<0.001) , poor progress-free survival (PFS) (HR=1.61, p=0.012) ,poor cancer-specific survival (CSS) (HR=1.44, p=0.027) , poor relapse-free survival (RFS) (HR=1.66, p=0.025) and poor disease-free survival (DFS) (HR=2.70, p<0.001) in patients with cancers. Subgroup analysis indicated that SII over the cutoff value could predict worse overall survival in Hepatocellular carcinoma (p<0.001), Gastric cancer (p=0.005), Esophageal Squamous Cell Carcinoma (p=0.013), Urinary system cancer (p<0.001), Small cell lung cancer (p<0.001), Non-Small cell lung cancer (p<0.001) and Acral Melanoma (p<0.001). The largest effect size was observed in the Hepatocellular carcinoma (HR=2.11). In addition, these associations did not vary significantly by the cutoff value, sample size and ethnicity. Therefore, high SII may be a potential prognostic marker in patients with various cancers and associated with the poor overall outcomes.

The predictive value of a preoperative systemic immune-inflammation index and prognostic nutritional index in patients with esophageal squamous cell carcinoma

Growing evidence indicates that systemic inflammation response and malnutrition status are correlated with survival in certain types of solid tumors. The aim of this study is to evaluate the association between the systemic immune-inflammation index (SII) and prognostic nutritional index (PNI) and overall survival (OS) in patients with esophageal squamous cell carcinoma (ESCC) after esophagectomy. A consecutive series of 655 patients with resected ESCC who underwent esophagectomy were enrolled in the retrospective study. The preoperative SII was defined as platelet × neutrophil/lymphocyte counts. The PNI was calculated as albumin concentration (g/L) + 5 × total lymphocyte count (10⁹ /L). The optimal cut-off values of SII, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and PNI were determined by receiver operating characteristic analysis. Survival analysis was performed using the Kaplan-Meier method with a log-rank test, followed by a multivariate Cox proportional hazards model. A high SII was significantly related to tumor size, histological type, invasion depth, and TNM stage (p < 0.05). A low PNI was significantly associated with age, tumor size, invasion depth, lymph node metastasis, and TNM stage (p < 0.05). Univariate analysis revealed that age, smoking history, tumor size, invasion depth, lymph node metastasis, SII, NLR, PLR, and PNI were predictors of OS (p < 0.05). Multivariate analysis identified age (p = 0.041), tumor size (p = 0.016), invasion depth (p < 0.001), lymph node metastasis (p < 0.001), SII (p = 0.033), and PNI (p = 0.022) as independent prognostic factors correlated with OS. There was a significant inverse relationship between the SII and PNI (r = 0.309; p < 0.001). The predictive value increased when the SII and PNI were considered in combination. Our results demonstrate that the preoperative high SII and low PNI are powerful indicators of aggressive biology and poor prognosis for patients with ESCC. The combination of SII and PNI can enhance the accuracy of prognosis.

Systemic immune-inflammation index predicts the combined clinical outcome after sequential therapy with abiraterone and docetaxel for metastatic castration-resistant prostate cancer patients

OBJECTIVE

To compare the antitumor effect of abiraterone (AA) followed by docetaxel-prednisone (DP) or vice versa in metastatic castration-resistant prostate cancer (mCRPC) patients, and explored factors that might predict combined PSA-PFS, combined rPFS and OS.

PATIENTS AND METHODS

We retrospectively analyzed mCRPC patients treated with sequential therapy using DP followed by AA or vice versa. Patients who had received enzalutamide or cabazitaxel were excluded. The primary outcome measure was overall survival (OS). The combined PSA progression-free survival (PSA-PFS), combined radiographic PFS (rPFS), and OS of AA-to-DP were compared to the reverse sequence using Kaplan-Meier curves with log-rank statistics. Univariable and multivariable Cox regression analyses were performed to determine prognostic factors that were associated with combined PSA-PFS, combined rPFS and OS.

RESULTS

A total of 104 mCRPC patients who began treatment between 2013 and 2017 were identified: 42 were in the DP-to-AA group and 62 were in the AA-to-DP group. There was no significant difference of baseline clinical characteristics between AA-to-DP and DP-to-AA group. In addition, there was no significant difference in combined PSA-PFS (AA-to-DP: 12.5 [11.4-13.6] vs DP-to-AA: 13.2 [10.9-15.5] months [P = 0.127]), combined rPFS (AA-to-DP: 12.2 [10.9-13.4] vs DP-to-AA: 11.2 [8.9-13.5] months [P = 0.183]) and OS (AA-to-DP: 23.3 [19.7-26.9] vs DP-to-AA: 22.9 [22.1-23.7] months [P = 0.213]) between the two treatment sequences in Kaplan-Meier analysis. In multivariate Cox regression analysis, high systematic Immune-Inflammation Index (SII) level, which was calculated by P (platelet) × N (neutrophil)/L(lymphocyte), remained significant predictors of OS, combined rPFS and combined PSA-PFS.

CONCLUSION

In this study, we did not observe differences in clinical outcomes based on alternative sequencing of AA and DP in mCRPC patients. The ability to tolerate side effects and patient preference may be used to determine the treatment sequencing. In addition, high pretreatment SII level is a negative independent prognosticator of survival outcomes in mCRPC with sequential therapy using DP followed by AA or vice versa, which might guide clinicians select the best treatment.

Systemic immune-inflammation index in germ-cell tumours

Background:

We evaluated systemic immune-inflammation index (SII) and its association with patient outcome in germ-cell tumours (GCTs).

Methods:

Two independent cohorts of patients were analysed; the discovery set (n=171) from a single institution and the validation set (n=181) previously included in a study evaluating PD-L1 in GCTs. The SII was calculated using platelet (P), neutrophil (N) and lymphocyte (L) counts before chemotherapy and correlated with survival using regression analyses and Kaplan–Meier method.

Results:

In the discovery cohort, the SII was associated with poor risk clinical features. Patients with low SII had significantly longer progression-free survival (HR=0.22, 95% CI 0.12–0.41, P<0.001) and overall survival (OS) (HR=0.16, 95% CI 0.08–0.32, P<0.001) compared to high SII. This index was independent of International Germ Cell Cancer Collaborative Group criteria in multivariable Cox regression analysis for OS and was validated in an independent cohort. When combining PD-L1 expression on tumour infiltrating lymphocytes (TILs) and SII, we identified three distinctive prognostic groups.

Conclusions:

High SII was associated with poor outcome in GCTs. Combination of PD-L1 positive TILs and SII could further refine prognosis in GCTs.