Predictive Value of Peripheral Blood Biomarkers in the Treatment of Lung Cancer Patients with Anti PD-1 Immunotherapy / 中国肺癌杂志

BACKGROUND@#The application of programmed cell death 1 (PD-1)/programmed cell death ligand 1 (PD-L1) antibodies has greatly improved the clinical outcomes of lung cancer patients. Here, we retrospectively analyzed the efficacy of PD-1 antibody therapy in locally advanced non-surgical or metastatic lung cancer patients, and preliminarily explored the correlation between peripheral blood biomarkers and clinical responses.@*METHODS@#We conducted a single center study that included 61 IIIA-IV lung cancer patients who received PD-1 antibody treatment from March 2020 to December 2021, and collected the medical record data on PD-1 antibody first-line or second-line treatment. The levels of multiple Th1 and Th2 cytokines in the patient's peripheral blood serum, as well as the phenotype of peripheral blood T cells, were detected and analyzed.@*RESULTS@#All the patients completed at least 2 cycles of PD-1 monoclonal antibody treatment. Among them, 42 patients (68.9%) achieved partial response (PR); 7 patients (11.5%) had stable disease (SD); and 12 patients (19.7%) had progressive disease (PD). The levels of peripheral blood interferon gamma (IFN-γ) (P=0.023), tumor necrosis factor α (TNF-α) (P=0.007) and interleukin 5 (IL-5) (P=0.002) before treatment were higher in patients of the disease control rate (DCR) (PR+SD) group than in the PD group. In addition, the decrease in absolute peripheral blood lymphocyte count after PD-1 antibody treatment was associated with disease progression (P=0.023). Moreover, the levels of IL-5 (P=0.0027) and IL-10 (P=0.0208) in the blood serum after immunotherapy were significantly increased compared to baseline.@*CONCLUSIONS@#Peripheral blood serum IFN-γ, TNF-α and IL-5 in lung cancer patients have certain roles in predicting the clinical efficacy of anti-PD-1 therapy. The decrease in absolute peripheral blood lymphocyte count in lung cancer patients is related to disease progression, but large-scale prospective studies are needed to further elucidate the value of these biomarkers.

Advances in the application of radiomics in predicting outcomes after transarterial chemoembolization for hepatocellular carcinoma / 中华全科医师杂志

Hepatocellular carcinoma is one of the common malignant tumors, and most patients with hepatocellular carcinoma are already in the middle stage at the time of clinical detection, transarterial chemoembolization is the treatment of choice for mid-stage hepatocellular carcinoma.Due to the high degree of tumor heterogeneity, accurately predicting the outcome of patients with hepatocellular carcinoma after transarterial chemoembolization remains one of the difficulties in clinical practice.As an emerging technology, radiomics can not only reflect tumor heterogeneity non-invasively, but also monitor, evaluate and predict tumor progression by analyzing changes in the tumor microenvironment to guide patients′ personalized treatment and prolong their survival time.This article reviews the progress of the application of radiomics in predicting the efficacy of transarterial chemoembolization for hepatocellular carcinoma.

The role of radiomics and artificial intelligence in predicting and evaluating the efficacy of neoadjuvant chemoradiotherapy for rectal cancer / 中华放射肿瘤学杂志

Predicting and evaluating the efficacy of neoadjuvant therapy for rectal cancer are of clinical significance and health economic value. At present, exploring the methods of predicting and evaluating the efficacy of neoadjuvant therapy have become research hotspot, focus and difficulty at home and abroad. Radiomics and artificial intelligence (AI) are two rapidly developing technologies. It is worthy of integrating radiomics with AI to build a model for predicting and evaluating the efficacy of neoadjuvant therapy and support individualized clinical decision-making and treatment options. In this article, literature review related to neoadjuvant chemoradiotherapy for rectal cancer based on radiomics and AI was conducted, aiming to explore the prospect and advantages of radiomics and AI in the prediction and evaluation of neoadjuvant therapy.

The role of serum pyrrole-protein adduct in evaluating the severity and predicting the anticoagulant efficacy in patients with pyrroidine alkaloid-related hepatic sinusoidal obstruction syndrome / 中华消化杂志

Objective:To explore the role of serum pyrrole-protein-adduct (PPA) in evaluating the severity and predicting the anticoagulant efficacy in patients with pyrrolidine alkaloid-related hepatic sinusoidal obstruction syndrome (PA-HSOS).Methods:From April 2018 to December 2019, the data of 48 patients with PA-HSOS admitted and treated at Drum Tower Hospital, Affiliated Medical College of Nangjing University were collected, which included PPA level, portal vein velocity (PVV), ascites grading, PA-HSOS severity grading (according to the new severity grading criteria for suspected hepatic sinusoidal obstruction syndrome in adults by the European Society of Blood and Bone Marrow Transplantation and adjusted) and the outcome of anticoagulation. Patients with acute onset (onset of symptoms within 1 month after consuming pyrrolizidine alkaloid-containing plants) were taken as research subjects. The combination of PPA with PVV or with ascites classification of PA-HSOS severity assessment model was fitted by logistic regression, and the logit values of 2 combination models were calculated, the formula was logit 1=0.034×PPA(nmol/L)+ 0.055×PVV(cm/s)-3.287, logit 2=0.039×PPA(nmol/L)-2.712×ascites grade 2 (Yes=1, No=0)-0.388×ascites grade 3 (Yes=1, No=0)-0.899. The patients received initial anticoagulation therapy at Drum Tower Hospital, Affiliated Medical College of Nanjing University were selected as research subjects. The anticoagulant efficacy prediction model of combination of PPA with serum creatinine (SCR) and with hepatic venous pressure gradient (HVPG) was fitted by logistic regression, and the logit value was calculated, the formula was logit 3=0.013×PPA(nmol/L)+ 0.064×SCR (mol/L)+ 0.542×HVPG (mmHg, 1 mmHg=0.133 kPa)-16.005. The predictive value of PPA in evaluating the severity of PA-HSOS and anticoagulant efficacy was evaluated. Receiver operating characteristic curve analysis was performed for statistical analysis. Results:The serum PPA level of 48 patients was 10.81 nmol/L (3.91 nmol/L, 32.04 nmol/L). Among them, 33 cases (68.8%) were mild PA-HSOS, 3 cases (6.2%) were moderate PA-HSOS, no severe PA-HSOS case and 12 cases (25.0%) were very severe PA-HSOS. Among 23 patients received initial anticoagulant therapy at Drum Tower Hospital, Affiliated Medical College of Nanjing University and with complete data, 8 patients responded and survived, and 15 patients did not respond (5 patients died, 1 patient relieved after continue anticoagulant therapy, and 9 patients survived after switching to anticoagulant therapy and transjugular intrahepatic portosystemic shunt (TIPS) treatment). One patient without initial anticoagulant therapy, survived after TIPS treatment because of the progress of the disease. Area under the curve (AUC) of PPA to assess the severity of acute onset PA-HSOS was 0.75, 95% confidence interval ( CI) was 0.52 to 0.98 ( P=0.047). When PPA≥45.519 nmol/L, the specificity and sensitivity in evaluating severe and very severe PA-HSOS was 100.0% and 57.1%, respectively. AUC of combination of PPA and PVV to assess the severity of PA-HSOS was 0.77, 95% CI was 0.55 to 1.00 ( P=0.032). When the logit of combination model≥0.180, the specificity and sensitivity in evaluating severe and very severe PA-HSOS was 71.4% and 81.8%, respectively. AUC of combination of PPA and ascites grade (grade 1, 2 or 3) to assess the severity of PA-HSOS was 0.85, 95% CI was 0.63 to 1.00 ( P=0.005). When the logit of combination model≥0.347, the specificity and sensitivity in evaluating severe and very severe PA-HSOS was 85.7% and 92.0%, respectively. AUC of combination of PPA, SCR and HVPG to predict anticoagulation efficacy was 0.85, 95% CI was 0.69 to 1.00 ( P=0.009). When the logit≥0.393, the specificity and sensitivity in predicting anticoagulation efficacy was 62.5% and 91.7%, respectively. Conclusions:PPA can be used to assess the severity of acute onset PA-HSOS patients, and combined with ascites grading can significantly improve its efficiency. PPA combined with SCR and HVPG can better predict anticoagulant efficacy.

Efficacy Prediction Model for Neoadjuvant Chemotherapy on Breast Cancer Based on Differential Genes Expression / 肿瘤防治研究

Objective To screen out significant differential genes for predicting the effect of neoadjuvant chemotherapy (NAC) and select the most suitable breast cancer patients for NAC. Methods A total of 60 breast cancer patients' samples before and after NAC were collected for high-throughput RNA-Seq. We selected AHNAK, CIDEA, ADIPOQ and AKAP12 as the candidate genes that related to tumor chemotherapeutic resistance. We analyzed the correlation of AHNAK, CIDEA, ADIPOQ, AKAP12 expression levels with the effect of NAC by logistic regression analysis, constructed a prediction model and demonstrated the model by the nomogram. Results AHNAK, CIDEA, ADIPOQ and AKAP12 expression were up-regulated in the residual tumor tissues of non-pCR group after NAC(P < 0.05). Compared with pCR group, non-pCR group presented higher expression levels of AHNAK, CIDEA, ADIPOQ and AKAP12 (P < 0.05). The high expression levels of AHNAK, CIDEA, ADIPOQ and AKAP12 significantly reduced the pCR rate of NAC for breast cancer (P < 0.05). Our prediction model which AHNAK, CIDEA, ADIPOQ and AKAP12 were involved in showed a good fitting effect with H1 test (χ2=6.3967, P=0.4945) and the ROC curve (AUC 0.8249, 95%CI: 0.722-0.9271). Conclusion AHNAK, CIDEA, ADIPOQ and AKAP12 may be novel marker genes for NAC effect on breast cancer. The efficacy prediction model based on this result is expected to be a new method to select the optimal patients of breast cancer for neoadjuvant chemotherapy.

Research Progress of Immunoscore in Prediction of Tumor Prognosis and Efficacy to Treatment / 肿瘤防治研究

The occurrence and development of the tumor are closely associated with the tumor microenvironment (TME) and host immune status. Traditional TNM staging has gradually been insufficient in the assessment of patients' outcomes, as the TNM system solely evaluated tumor cell characteristics and failed to predict clinical outcomes based on immune factors. Therefore, immunoscore (IS), derived from the concept of immune contexture, was proposed to establish a more comprehensive and accurate TNM-I staging above the TNM staging. Recently, increasing studies have shown that IS can predict the survival outcome and treatment efficacy more accurately than TNM staging. Moreover, IS possess characteristics such as feasibility, convenience, robustness and reproducibility, which make it possible for IS to be used as a biomarker for clinical application, to classify patients better and contribute to developing individualized treatment strategies, ultimately, to improve the overall survival of patients with cancer. This article reviews of the progress of immunoscore in predicting patients' prognosis and response to therapy among different tumors.

Expression of Wip1 in serum of patients with small cell lung cancer and its clinical significance / 中国肿瘤生物治疗杂志

@#[Abstract] Objective: To investigate the expression of wild type p53 induced phosphatase 1 (Wip1) in small cell lung cancer (SCLC) cells and the serum of SCLC patient and its relationship with clinical prognosis. Methods: Real time quantitative PCR (qPCR) was used to detect the expression of Wip1 in SCLC cells and serum samples. Results: The expression of Wip1 in drug-resistant SCLC cells was significantly higher than that in sensitive cell lines (P<0.01). The expression of Wip1 in serum of SCLC group was significantly higher than that of normal control group (P<0.05); the expression of Wip1 in serum of patients with chemotherapy resistance was significantly higher than that in patients with chemotherapy sensitivity (all P<0.05); the serum Wip1 level was correlated with disease stage, chemotherapy sensitivity and survival status of SCLC patients (all P<0.05). The area under ROC curve of Wip1 predicting the prognosis of SCLC was 0.836 (95%CI:0.8230-0.9600, P<0.01); the expression lever of Wip1 was significantly correlated with progression free survival and overall survival time of SCLC patients (all P<0.05). Disease stage, chemosensitivity and Wip1 expression were independent prognostic factors for SCLC patients (all P<0.05). Conclusion: The expression of Wip1 in serum of SCLC patients may be related to chemotherapy sensitivity and prognosis. Wip1 may be a potential biomarker for therapeutic efficacy and prognosis evaluation of SCLC patients.

Mean corpuscular volume,red blood cell volume distribution width in non-severe aplastic anemia role of early efficacy prediction / 重庆医学

Objective To evaluated the application value of mean corpuscular volume(MCV) and red blood cell volume distribu-tion width(RDW) in predicting early treatment responses of non-severe aplastic anemia(NSAA) .Methods 101 cases of patients who were newly diagnosed with non-severe aplastic anemia and were treated with Cyclosporine (CsA)combined androgen therapy . Treatment before baseline MCV ,RDW value were measured ,treatment for 3 months ,6 months test routine blood ,reticulocyte indi-cators and treatment results were statistically analyzed and receiver operating characteristic (ROC) curve was used to estimate the sensitivity and specificity of MCV ,RDW in predicting early treatment results .Results The level of MCV and RDW in non-severe aplastic anemia were significantly higher than normal reference .the responded patients had significantly higher pretreatment base-line MCV value than those non-responded .especially at 6 month ,baseline MCV were 105 .10 fl and 98 .30 fl respectively (P=0 .025) .the responded patients had significantly lower pretreatment baseline RDW value than those non-responded .especially at 3 month .baseline RDW were 14 .60% and 16 .60% respectively(P=0 .001) .The cutoff level of MCV (100 fL) and RDW (15 .55% ) for the predicting 3 and 6 month treatment responses were established based on the ROC curve ,with degree of accurancy of MCV was 62 .4% ,61 .4% and RDW 70 .3% ,63 .4% respectively .compared the treatment efficacy acuity MCV ≥100 fL/RDW <15 .55%group was significantly better than MCV < 100 fL/RDW≥15 .55% group .Multivariate analysis showed that pretreatment RDW and absolute reticulocyte value was the early prognostic factor of NSAA treatment effect .84 patients with ARC ≥ 20 × 109/L , through RDW cutoff Layered compare treatment response :RDW<15 .55% group was significantly better than the RDW≥15 .55%group(P=0 .000) .Conclusion MCV can not serve as of a significant predictor of early treatment response in non-severe aplastic a-nemia .RDW can serve as of the bone marrow failure severity indicators and a significant predictor of early treatment response in non-severe aplastic anemia .The joint reticulocyte absolute value parameters ,which can more accurately predict treatment efficacy .