scholarly journals Omission of Chemotherapy in HR+/HER2- Early Invasive Breast Cancer Based on Combined 6-IHC Score?

2020 ◽  
Author(s):  
Jiaman Lin ◽  
Zihe Guo ◽  
Shuo Wang ◽  
Xinyu Zheng
Keyword(s):  
High Risk ◽  
Adjuvant Chemotherapy ◽  
Risk Group ◽  
Disease Free Survival ◽  
Risk Groups ◽  
High Risk Group ◽  
Low Risk ◽  
Oncotype Dx ◽  
Axillary Lymph ◽  
Training Cohort

Abstract Background: Previous randomized studies have assessed the possibility of omission of chemotherapy in some hormone receptor (HR)-positive and HER2-negative (HR+/HER2-) breast cancers (BC) based on gene profiling test, e.g., Oncotype DX. The goal of this study was to evaluate if combination of six proliferation related biomarkers by immunohistochemistry (6-IHC) could be a cost-effective option in determining the necessity of adjuvant chemotherapy in HR+/HER2- BC.Methods: A retrospective analysis of HR+/HER2- BC patients was conducted in the First Affiliated Hospital of China Medical University from 2010 to 2016. The expression of 6 BC-related proliferation and invasion genes (Cathepsin L2, MMP11, CyclinB1, Aurora A, Survivin and Ki67) from Oncotype DX were analyzed through IHC (designated as 6-IHC). All the included patients were divided randomly at a 7:3 ratio into training and testing cohorts. The cutoff prognosis index (PI) of 6-IHC was determined by multivariate Cox risk regression analysis after calculating the PI of each patient in training cohort and confirmed in testing cohort. The patients were classified into “Low” and “High” risk groups based on the PI value. Kaplan-Meier (KM) method was used to analyze Disease-free survival (DFS) and overall survival (OS). 6-IHC score and other factors associated with survival benefit of adjuvant chemotherapy were compared with Ki67 index.Results: A total of 330 patients were included and divided into training cohort (n = 231) and validation cohort (n = 99). The receiver operating characteristic (ROC) curve analysis showed that the patients can be divided into 6-IHC score “High” and “Low” risk groups using the cut-off PI of 2.16. The 8-year DFS and OS were 54.6% and 69.2%, respectively in the 6-IHC score “High” risk group; 85.5% and 92.5%, respectively in the 6-IHC score “Low” risk group. The 8-year DFS and OS were 70.8% and 80.9%, respectively in the Ki67 “High” risk group, 77.7% and 87.6%, respectively in the Ki67 “Low” risk group. The KM curves showed that chemotherapy did not significantly improve the DFS in the 6-IHC score “Low” risk group (p = 0.830), but significantly improved the DFS in the 6-IHC score “High” risk group (P = 0.012).Conclusions: Combined 6-IHC score could be a reliable tool in predicting cancer-specific recurrences and survival in HR+/HER2- BC patients and identifying patients who could benefit from adjuvant chemotherapy regardless of the involvement of axillary lymph node (ALN).

scholarly journals Risk Stratification and Individualized Chemotherapy for Elderly Patients with Locoregionally Advanced Nasopharyngeal Carcinoma

2021 ◽  
Author(s):  
Jia Kou ◽  
Lu-Lu Zhang ◽  
Dan-Wan Wen ◽  
Guan-Qun Zhou ◽  
Chen-Fei Wu ◽  
...  
Keyword(s):  
High Risk ◽  
Nasopharyngeal Carcinoma ◽  
Risk Stratification ◽  
Elderly Patients ◽  
Risk Group ◽  
Disease Free Survival ◽  
Risk Groups ◽  
High Risk Group ◽  
Low Risk ◽  
Individualized Treatment

Abstract Backgroud: The optimal treatment strategy for elderly patients with locoregionally advanced nasopharyngeal carcinoma (LA-NPC) remains unclear. We aimed to develop individualized treatment strategies for such patients according to their pretreatment risk stratification and the degree of comorbidities.Methods: A total of 583 elderly LA-NPC patients diagnosed between January 2011 and January 2018 were retrospectively studied. Based on prognostic factors confirmed by multivariate analysis, we constructed a nomogram for disease-free survival (DFS). The entire cohort was then divided into two groups according to the nomogram cutoff value determined by X-tile analysis. The degree of comorbidities was assessed by Charlson Comorbidity Index (CCI). We performed subgroup analysis based on the degree of complications in the low- and high-risk groups to compare the survival outcomes of different treatment regimens using the Kaplan-Meier method and the log-rank test.Results: A nomogram for DFS was constructed with T/N classification, Epstein-Barr virus DNA and albumin. The high-risk group had significantly poorer survival compared with the low-risk group. The 3-year DFS and overall survival (OS) of the low-risk group and the high-risk group were 76.7% vs. 44.6%, 81.5% vs. 51.0% (both P <0.001) respectively. Only high-risk patients with fewer comorbidities (CCI =2) would benefit from induction chemotherapy combined with concurrent chemoradiotherapy, while patients in the low-risk group or the high-risk group with more comorbidities (CCI >2) would not have.Conclusion: We constructed a prognostic nomogram for DFS and generated two risk groups. Combining risk stratification and degree of comorbidities can better guide individualized treatment for elderly LA-NPC patients.

scholarly journals MO048MULTICENTRE PROSPECTIVE VALIDATION OF THE URINARY PEPTIDOME-BASED CLASSIFIER CKD273 AS A PREDICTOR OF RENAL FUNCTION DECLINE IN SUBJECTS WITH TYPE 2 DIABETES

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Morten Lindhardt ◽  
Nete Tofte ◽  
Gemma Currie ◽  
Marie Frimodt-Moeller ◽  
Heiko Von der Leyen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Renal Function ◽  
High Risk ◽  
Risk Group ◽  
Cox Model ◽  
Risk Groups ◽  
High Risk Group ◽  
Low Risk ◽  
Renal Function Decline

Abstract Background and Aims In the PRIORITY study, it was recently demonstrated that the urinary peptidome-based classifier CKD273 was associated with increased risk for progression to microalbuminuria. As a prespecified secondary outcome, we aim to evaluate the classifier CKD273 as a determinant of relative reductions in eGFR (CKD-EPI) of 30% and 40% from baseline, at one timepoint without requirements of confirmation. Method The ‘Proteomic prediction and Renin angiotensin aldosterone system Inhibition prevention Of early diabetic nephRopathy In TYpe 2 diabetic patients with normoalbuminuria trial’ (PRIORITY) is the first prospective observational study to evaluate the early detection of diabetic kidney disease in subjects with type 2 diabetes (T2D) and normoalbuminuria using the CKD273 classifier. Setting 1775 subjects from 15 European sites with a mean follow-up time of 2.6 years (minimum of 7 days and a maximum of 4.3 years). Patients Subjects with T2D, normoalbuminuria and estimated glomerular filtration rate (eGFR) ≥ 45 ml/min/1.73m2. Participants were stratified into high- or low-risk groups based on their CKD273 score in a urine sample at screening (high-risk defined as score &gt; 0.154). Results In total, 12 % (n = 216) of the subjects had a high-risk proteomic pattern. Mean (SD) baseline eGFR was 88 (15) ml/min/1.73m2 in the low-risk group and 81 (17) ml/min/1.73m2 in the high-risk group (p &lt; 0.01). Baseline median (interquartile range) urinary albumin to creatinine ratio (UACR) was 5 (3-8) mg/g and 7 (4-12) mg/g in the low-risk and high-risk groups, respectively (p &lt; 0.01). A 30 % reduction in eGFR from baseline was seen in 42 (19.4 %) subjects in the high-risk group as compared to 62 (3.9 %) in the low-risk group (p &lt; 0.0001). In an unadjusted Cox-model the hazard ratio (HR) for the high-risk group was 5.7, 95 % confidence interval (CI) (3.9 to 8.5; p&lt;0.0001). After adjustment for baseline eGFR and UACR, the HR was 5.2, 95 % CI (3.4 to 7.8; p&lt;0.0001). A 40 % reduction in eGFR was seen in 15 (6.9 %) subjects in the high-risk group whereas 22 (1.4 %) in the low-risk group developed this endpoint (p&lt;0.0001). In an unadjusted Cox-model the HR for the high-risk group was 5.0, 95 % CI (2.6 to 9.6; p&lt;0.0001). After adjustment for baseline eGFR and UACR, the HR was 4.8, 95 % CI (2.4 to 9.7; p&lt;0.0001). Conclusion In normoalbuminuric subjects with T2D, the urinary proteomic classifier CKD273 predicts renal function decline of 30 % and 40 %, independent of baseline eGFR and albuminuria.

scholarly journals Immune-Related Four-lncRNA Signature for Patients with Cervical Cancer

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Jianfeng Zheng ◽  
Benben Cao ◽  
Xia Zhang ◽  
Zheng Niu ◽  
Jinyi Tong
Keyword(s):  
Cervical Cancer ◽  
High Risk ◽  
Immune Cell ◽  
Risk Group ◽  
Pearson Correlation ◽  
Characteristic Curve ◽  
Risk Groups ◽  
High Risk Group ◽  
Low Risk ◽  
Gynecological Malignancy

Cervical cancer (CC) is a common gynecological malignancy for which prognostic and therapeutic biomarkers are urgently needed. The signature based on immune-related lncRNAs (IRLs) of CC has never been reported. This study is aimed at establishing an IRL signature for patients with CC. A cohort of 326 CC and 21 normal tissue samples with corresponding clinical information was included in this study. Twenty-eight IRLs were collected according to the Pearson correlation analysis between the immune score and lncRNA expression ( p < 0.01 ). Four IRLs (BZRAP1-AS1, EMX2OS, ZNF667-AS1, and CTC-429P9.1) with the most significant prognostic values ( p < 0.05 ) were identified which demonstrated an ability to stratify patients into the low-risk and high-risk groups by developing a risk score model. It was observed that patients in the low-risk group showed longer overall survival (OS) than those in the high-risk group in the training set, valid set, and total set. The area under the curve (AUC) of the receiver operating characteristic curve (ROC curve) for the four-IRL signature in predicting the one-, two-, and three-year survival rates was larger than 0.65. In addition, the low-risk and high-risk groups displayed different immune statuses in GSEA. These IRLs were also significantly correlated with immune cell infiltration. Our results showed that the IRL signature had a prognostic value for CC. Meanwhile, the specific mechanisms of the four IRLs in the development of CC were ascertained preliminarily.

Utilization of oncotype DX in node-negative, ER-positive breast cancer patients

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 11067-11067 ◽  
Author(s):  
H. Patel ◽  
K. Hook ◽  
C. Kaplan ◽  
R. Davidson ◽  
A. DeMichele ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Oncotype Dx ◽  
Intermediate Risk ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Node Negative ◽  
Er Positive

11067 Background: The 21 gene RT-PCR assay Oncotype DX (Genomic Health, CA) stratifies patients into low, intermediate and high risk for systemic recurrence. The objective of this study was to examine the patterns of use of Oncotype DX in a single institution. Methods: All patients who had ODX testing requested by the University of Pennsylvania were identified and recurrence scores (RS) obtained. Patient and tumor characteristics, as well as treatment administered, were obtained by chart review for analysis. Results: 100 ODX tests were ordered between 1/1/05–11/30/06. RS results classified 51% of breast cancers as low risk, 38% intermediate risk, and 11% high risk. Characteristics of the tumors of the overall population and by RS group are shown in Table . 99% of patients received hormonal therapy. Of the low risk patients, only one patient was treated with chemotherapy (2%) while 34% of the intermediate risk group and 80% of the high risk group received chemotherapy. Notably, only 4/100 patients with ODX were under age 35 and 17/100 had tumors over 2cm. Conclusions: In this series, ODX use is accelerating. The results of the ODX tests appear to be used clinically as demonstrated by the very low use of chemotherapy in the low risk group. Comparison to the overall population of ER positive, node negative patients seen at this institution is underway. [Table: see text] No significant financial relationships to disclose.

The Glasgow whipple risk score to predict pancreas-specific complications after pancreaticoduodenectomy.

2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 394-394
Author(s):  
Lavanniya Kumar Palani Velu ◽  
Vishnuvardhan Chandrabalan ◽  
Ross Carter ◽  
Colin McKay ◽  
Donald McMillan ◽  
...  
Keyword(s):  
High Risk ◽  
Serum Amylase ◽  
Risk Group ◽  
Risk Groups ◽  
High Risk Group ◽  
Low Risk ◽  
Prolonged Stay ◽  
Increased Risk ◽  
Clinically Significant ◽  
Serum Crp

394 Background: Pancreas-specific complications (PSC), comprising postoperative pancreatic fistula, post-pancreatectomy haemorrhage, and intra-abdominal collections, are drivers of morbidity following pancreaticoduodenectomy (PD). Intra-operatively derived pancreatic gland texture is a major determinant of postoperative PSC. We have previously demonstrated that a postoperative day 0 (PoD0) serum amylase ≥ 130 IU/L is an objective surrogate of pancreatic texture, and is associated with PSC. We sought to refine the PSC risk prediction model by including serial measurements of serum C-reactive protein (CRP). Methods: 230 consecutive patients undergoing PD between 2008 and 2014 were included in the study. Routine serum investigations, including amylase and CRP were performed from the pre-operative day. Receiver operating characteristic (ROC) curve analysis was used to identify a threshold value of serum CRP associated with clinically significant PSC. Results: 95 (41.3%) patients experienced a clinically significant PSC. ROC analysis identified post-operative day 2 (PoD2) serum CRP of 180 mg/L as the optimal threshold (P=0.005) associated with clinically significant PSC, a prolonged stay in critical care (P =0.032), and a relaparotomy (P = 0.045). Patients with a PoD0 serum amylase ≥ 130 IU/L who then developed a PoD2 serum CRP ≥ 180 mg/L had a higher incidence of postoperative complications. Patients were categorised into high, intermediate and low risk groups based on PoD0 serum amylase and PoD2 serum CRP. Patients in the high risk group (PoD0 serum amylase ≥ 130 IU/L and PoD2 serum CRP ≥ 180 mg/l) had significantly higher incidence of PSC, a return to theatre, prolonged lengths stay (all P≤ 0.05) and a four-fold increase in perioperative mortality compared patients in the intermediate and low risk groups (7 deaths in the high risk group versus 2 and nil in the intermediate and low risk groups respectively). Conclusions: A high risk profile, defined as PoD0 serum amylase ≥ 130 IU/L and PoD2 serum CRP ≥ 180 mg/l, should raise the clinician’s awareness of the increased risk of clinically significant PSC and a complicated postoperative course following pancreaticoduodenectomy.

scholarly journals A radiomics nomogram for prediction of overall survival  in hepatocellular carcinoma after hepatectomy

2020 ◽  
Author(s):  
Qinqin Liu ◽  
Jing Li ◽  
Fei Liu ◽  
Weilin Yang ◽  
Jingjing Ding ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
High Risk ◽  
Validation Cohort ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Clinicopathological Factors ◽  
Training Cohort ◽  
Texture Parameters ◽  
Radiomics Signature

Abstract Background Hepatocellular carcinoma (HCC) is associated with dismal prognosis, and prediction of the prognosis of HCC can assist the therapeutic decisions. More and more studies showed that the texture parameters of images can reflect the heterogeneity of the tumor, and may have the potential to predict the prognosis of patients with HCC after surgical resection. The aim of the study was to investigate the prognostic value of computed tomography (CT) texture parameters for patients with HCC after hepatectomy, and try to develop a radiomics nomograms by combining clinicopathological factors with radiomics signature.Methods 544 eligible patients were enrolled in the retrospective study and randomly divided into training cohort (n=381) and validation cohort (n=163). The regions of interest (ROIs) of tumor is delineated, then the corresponding texture parameters are extracted. The texture parameters were selected by using the least absolute shrinkage and selection operator (LASSO) Cox model in training cohort, and the radiomics score (Rad-score) was generated. According to the cut-off value of the Rad-score calculated by the receiver operating characteristic (ROC) curve, the patients were divided into high-risk group and low-risk group. The prognosis of the two groups was compared and validated in the validation cohort. Univariate and multivariable analyses by COX proportional hazard regression model were used to select the prognostic factors of overall survival (OS). The radiomics nomogram for OS were established based on the radiomics signature and clinicopathological factors. The Concordance index (C-index), calibration plot and decision curve analysis (DCA) were used to evaluate the performance of the radiomics nomogram.Result 7 texture parameters associated with OS were selected in the training, and the radiomics signature was formulated based on the texture parameters. The patients were divided into high-risk group and low-risk group by the cut-off values of the Rad-score of OS. The 1-, 3- and 5-year OS rate was 71.0%, 45.5% and 35.5% in the high-risk group, respectively, and 91.7%, 82.1% and 78.7%, in the low-risk group, respectively, with significant difference (P <0.001). COX regression model found that Rad-score was an independent prognostic factor of OS. In addition, the radiomics nomogram was developed based on five variables: α‐fetoprotein (AFP), platelet lymphocyte ratio (PLR), largest tumor size, microvascular invasion (MVI) and Rad-score. The nomograms displayed good accuracy in predicting OS (C-index=0.747) in the training cohort and was confirmed in the validation cohort (C-index=0.777). The calibration plots also showed an excellent agreement between the actual and predicted survival probabilities. The DAC indicated that the radiomics nomogram showed better clinical usefulness than the clinicopathologic nomogram.Conclusion The radiomics signature is potential biomarkers of the prognosis of HCC after hepatectomy. Radiomics nomogram that integrated radiomics signature can provide more accurate estimate of OS for patients with HCC after hepatectomy.

scholarly journals Validation of Clinical Prognostic Models and Integration of Genetic Biomarkers of Drug Resistance in CLL Patients Treated with Ibrutinib

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 186-186 ◽  
Author(s):  
Inhye E. Ahn ◽  
Xin Tian ◽  
Maher Albitar ◽  
Sarah E. M. Herman ◽  
Erika M. Cook ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Group ◽  
Risk Groups ◽  
High Risk Group ◽  
Low Risk ◽  
Prognostic Models ◽  
Discovery Cohort ◽  
Treatment Naïve ◽  
Equity Ownership

Abstract Introduction: We previously reported a prognostic scoring system in CLL using pre-treatment factors in patients treated with ibrutinib [Ahn et al, 2016 ASH Annual Meeting]. Here we present long-term follow-up results and validation of the prognostic models in a large independent cohort of patients. We also determine the incidence of resistance-conferring mutations in BTK and PLCG2 genes in different clinical risk groups. Methods and Patients: The discovery cohort comprised 84 CLL patients on a phase II study with either TP53 aberration (deletion 17p or TP53 mutation) or age ≥65 years (NCT01500733). The validation cohort comprised 607 patients pooled from four phase II and III studies for ibrutinib in treatment-naïve or relapsed/refractory CLL (NCT01105247; NCT01578707; NCT01722487; NCT01744691). All patients received single-agent ibrutinib 420mg once daily. We used Cox regression models to identify independent predictors of PFS, Kaplan-Meier method to estimate probabilities of PFS, log-rank test to compare PFS, and Cochran-Armitage trend test to compare the incidence of mutation among subgroups. We used R version 3.5.0 or SAS® version 9.3 for statistical analyses. For biomarker correlation, we tested cellular DNA or cell-free DNA collected from patients in the discovery cohort with the targeted sequencing of BTK and PLCG2 genes. Result: At a median follow-up of 5.2 years, 28 (33.3%) of 84 patients in the discovery cohort progressed or died. 52 (61.9%) patients had treatment-naïve CLL. Independent factors of PFS on univariate analysis were; TP53 aberration, prior treatment, and β-2 microglobulin (B2M) >4mg/L (P<0.05 for all tests). Unmutated IGHV and advanced Rai stage (III/IV) showed a trend toward inferior outcome without reaching statistical significance. Because higher levels of B2M were associated with relapsed/refractory CLL, we performed two multivariate Cox regression models to assess B2M and prior treatment status separately. Risk groups were determined by the presence of TP53 aberration, advanced Rai stage, and B2M >4mg/L for Model 1, and TP53 aberration, advanced Rai stage, and relapsed/refractory CLL for Model 2 (Table 1). The high-risk group had all three adverse risk factors; the intermediate-risk group had two risk factors; and the low-risk group, none or one. The median PFS of the high-risk group was 38.9 months for Model 1 and 38.4 months for Model 2, and was significantly shorter than those of intermediate and low-risk groups. In the validation cohort, 254 (41.8%) of 607 patients progressed or died at a median follow-up of 4.2 years. 167 (27.5%) patients had treatment-naïve CLL. Both models showed statistically significant differences in PFS by risk groups (Table 1). For the high-risk group, 4-year PFS was 30.2% in Model 1 and 30.5% in Model 2, which were inferior to those of intermediate (53.4 and 52.4%) and low-risk groups (68.7 and 73.7%). Model 1 classified 20% of patients and Model 2 classified 28% of patients to the high-risk group. BTK and PLCG2 mutations are common genetic drivers of ibrutinib resistance in CLL. To determine whether the incidence of these mutations correlates with prognostic risk groups, we performed targeted sequencing of BTK and PLCG2 of samples collected from patients in the discovery cohort. We used cell-free DNA for patients who received long-term ibrutinib (≥3 years) and had low circulating tumor burden, and cellular DNA, for samples collected within 3 years on ibrutinib or at progression. Of 84 patients, 69 (82.1%) were tested at least once, and 37 (44.0%) were tested at least twice. The frequency of testing was similar across the risk groups by two models (P>0.05). The cumulative incidences of mutations at 5 years in the low-, intermediate-, and high-risk groups were: 21.4%, 44.8% and 50%, respectively, by Model 1 (P=0.02); and 22.6%, 41.4% and 66.7%, respectively, by Model 2 (P=0.01). Conclusion: We developed and validated prognostic models to predict the risk of disease progression or death in CLL patients treated with ibrutinib. Risk groups classified by three commonly available pre-treatment factors showed statistically significant differences in PFS. The clinically-defined high-risk disease was linked to higher propensity to develop clonal evolution with BTK and/or PLCG2 mutations, which heralded ibrutinib resistance. Disclosures Albitar: Neogenomics Laboratories: Employment. Ma:Neogenomics Laboratories: Employment. Ipe:Pharmacyclics, an AbbVie Company: Employment, Other: Travel; AbbVie: Equity Ownership. Tsao:Pharmacyclics LLC, an AbbVie Company: Employment. Cheng:Pharmacyclics LLC, an AbbVie Company: Employment. Dean:CTI BioPharma Corp.: Employment, Equity Ownership; Pharmacyclics LLC, an AbbVie Company: Employment, Equity Ownership. Wiestner:Pharmacyclics LLC, an AbbVie Company: Research Funding.

scholarly journals Prognostic Value of Drug Targets Predicted using Deep Bioinformatic Analysis of M6A-associated lncRNA-based Pancreatic Cancer Model Characteristics and its Tumour Microenvironment

2021 ◽  
Author(s):  
Peng-wei Cao ◽  
Lei Liu ◽  
Zi-Han Li ◽  
Feng Cao ◽  
Fu-Bao Liu
Keyword(s):  
Pancreatic Cancer ◽  
High Risk ◽  
Immune Function ◽  
Immune Evasion ◽  
Drug Sensitivity ◽  
Risk Group ◽  
Risk Groups ◽  
Tumour Microenvironment ◽  
High Risk Group ◽  
Low Risk

Abstract Background: The role of N6-methyladenosine (m6A)-associated long-stranded non-coding RNA (lncRNA) in pancreatic cancer is unclear. Therefore, we analysed the characteristics and tumour microenvironment in pancreatic cancer and determined the value of m6A-related lncRNAs for prognosis and drug target prediction.Methods: An m6A-lncRNA co-expression network was constructed using The Cancer Genome Atlas database to screen m6A-related lncRNAs. Prognosis-related lncRNAs were screened using univariate Cox regression; patients were divided into high- and low-risk groups and randomised into training and test groups. In the training group, least absolute shrinkage and selection operator (LASSO) was used for regression analysis and to construct a prognostic model, which was validated in the test group. Tumour mutational burden (TMB), immune evasion, and immune function of risk genes were analysed using R; drug sensitivity and potential drugs were examined using the Genomics of Drug Sensitivity in Cancer database.Results: We screened 129 m6A-related lncRNAs; 17 prognosis-related m6A-related lncRNAs were obtained using multivariate analysis and three m6A-related lncRNAs (AC092171.5, MEG9, AC002091.1) were screened using LASSO regression. Survival rates were significantly higher (P < 0.05) in the low-risk than in the high-risk group. Risk score was an independent predictor affecting survival (P < 0.001), with the highest risk score being obtained by calculating the c-index. The TMB significantly differed between the high- and low-risk groups (P < 0.05). In the high- and low-risk groups, mutations were detected in 61 of 70 samples and 49 of 71 samples, respectively, with KRAS, TP53, and SMAD4 showing the highest mutation frequencies in both groups. A lower survival rate was observed in patients with a high versus low TMB. Immune function HLA, Cytolytic activity, and Inflammation-promoting, T cell co-inhibition, Check-point, and T cell co-stimulation significantly differed in different subgroups (P < 0.05). Immune evasion scores were significantly higher in the high-risk group than in the low-risk group. Eight sensitive drugs were screened: ABT.888, ATRA, AP.24534, AG.014699, ABT.263, axitinib, A.443654, and A.770041.Conclusions: We screened m6A-related lncRNAs using bioinformatics, constructed a prognosis-related model, explored TMB and immune function differences in pancreatic cancer, and identified potential therapeutic agents, providing a foundation for further studies of pancreatic cancer diagnosis and treatment.

scholarly journals Impact of cumulative cisplatin dose in childhood nasopharyngeal carcinoma based on neoadjuvant chemotherapy response in the intensity-modulated radiotherapy era: a real-world study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ya-Nan Jin ◽  
Meng-Yun Qiang ◽  
Meng-Meng Liu ◽  
Zhi-Bin Cheng ◽  
Wang-Jian Zhang ◽  
...  
Keyword(s):  
High Risk ◽  
Nasopharyngeal Carcinoma ◽  
Neoadjuvant Chemotherapy ◽  
Concurrent Chemoradiotherapy ◽  
Risk Group ◽  
Disease Free Survival ◽  
High Risk Group ◽  
Low Risk ◽  
Chemotherapy Response ◽  
Ebv Dna

Abstract Background We aimed to comprehensively investigate the optimal cumulative cisplatin dose during concurrent chemoradiotherapy (CC-CCD) for locoregionally advanced nasopharyngeal carcinoma (CA-LANPC) with different tumor responses after neoadjuvant chemotherapy (NAC). Methods Patients with CA-LANPC who underwent NAC followed by cisplatin-based concurrent chemoradiotherapy were retrospectively analyzed. Evaluation of tumor response in patients was conducted by Response Evaluation Criteria for Solid Tumor (RECIST) 1.1 after two to four cycles NAC. Multivariate Cox proportional hazards models were used for prognosis. Recursive partitioning analysis (RPA) was conducted to classify participates and predict disease-free survival (DFS). Results One hundred and thirty-two patients with favorable response after NAC were included. The median CC-CCD was 163 mg/m2 (IQR, 145–194 mg/m2), and 160 mg/m2 was selected as the cutoff point to group patients into low and high CC-CCD groups (< 160 vs. ≥ 160 mg/m2). There was significant improvement in 5-year DFS (91.2% vs. 72.6%; P = 0.003) for patients receiving high CC-CCD compared to those receiving low CC-CCD. Multivariate analysis revealed that CC-CCD, T stage, and Epstein–Barr virus (EBV) DNA were independent prognostic factors for DFS (P < 0.05 for all). Patients were further categorized into two prognostic groups by RPA: the low-risk group (T1-3 disease with regardless of EBV DNA, and T4 disease with EBV DNA < 4000 copy/mL), and the high-risk group (T4 disease with EBV DNA ≥ 4000 copy/mL). Significant 5-year DFS improvement was observed for the high-risk group (P = 0.004) with high CC-CCD. However, DFS improvement was relatively insignificant in the low-risk group (P = 0.073). Conclusions CC-CCD was a positive prognostic factor for responders after NAC in CA-LANPC. Furthermore, CC-CCD ≥ 160 mg/m2 could significantly improve DFS in the high-risk group with CA-LANPC, but the benefit of high CC-CCD in the low-risk group needs further study.

scholarly journals Hypoxia-Related Long Non-Coding RNA Signature Predicts the Prognosis of Breast Cancer

2021 ◽  
Author(s):  
Jinlong Huo ◽  
Shuang Shen ◽  
Chen Chen ◽  
Rui Qu ◽  
Youming Guo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cell ◽  
High Risk ◽  
Risk Group ◽  
Risk Groups ◽  
High Risk Group ◽  
Cytolytic Activity ◽  
Low Risk ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas

Abstract Background: Breast cancer(BC) is the most common tumour in women. Hypoxia stimulates metastasis in cancer and is linked to poor patient prognosis.Methods: We screened prognostic-related lncRNAs(Long Non-Coding RNAs) from the Cancer Genome Atlas (TCGA) data and constructed a prognostic signature based on hypoxia-related lncRNAs in BC.Results: We identified 21 differentially expressed lncRNAs associated with BC prognosis. Kaplan Meier survival analysis indicated a significantly worse prognosis for the high-risk group(P<0.001). Moreover, the ROC-curve (AUC) of the lncRNAs signature was 0.700, a performance superior to other traditional clinicopathological characteristics. Gene set enrichment analysis (GSEA) showed many immune and cancer-related pathways and in the low-risk group patients. Moreover, TCGA revealed that functions including activated protein C (APC)co-inhibition, Cinnamoyl CoA reductase(CCR),check-point pathways, cytolytic activity, human leukocyte antigen (HLA), inflammation-promotion, major histocompatibility complex(MHC) class1, para-inflammation, T cell co-inhibition, T cell co-stimulation, and Type Ⅰ and Ⅱ Interferons (IFN) responses were significantly different in the low-risk and high-risk groups. Immune checkpoint molecules such as ICOS, IDO1, TIGIT, CD200R1, CD28, PDCD1(PD-1), were also expressed differently between the two risk groups. The expression of m6A-related mRNA indicated that YTHDC1, RBM15, METTL3, and FTO were significantly between the high and low-risk groups.Additionally, immunotherapy in patients with BC from the low-risk group yielded a higher frequency of clinical responses to anti-PD-1/PD-L1 therapy or a combination of anti-PD-1/PD-L1and anti-CTLA4 therapies.Except for lapatinib, the results also show that a high-risk score is related to a higher half-maximal inhibitory concentration (IC50) of chemotherapy drugs.Conclusion: A novel hypoxia-related lncRNAs signature may serve as a prognostic model for BC.

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