scholarly journals Immune Score Closely Associated With Tumor Microenvironment as A Prognostic Factor in Lung Adenocarcinoma

2020 ◽  
Author(s):  
Na Li ◽  
Xiaoling Chen ◽  
Chang Liu ◽  
Yong Feng ◽  
Xiaoqiang Sun ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
High Risk ◽  
Prognostic Factor ◽  
Tumor Microenvironment ◽  
Lung Adenocarcinoma ◽  
Prognostic Significance ◽  
Risk Groups ◽  
Rank Test ◽  
Log Rank Test ◽  
Immune Score

Abstract Background: The tumor microenvironment plays a vital role in tumor biology and has recently attracted widespread attention. However, the prognostic significance of integrated immune scores in lung adenocarcinoma has not yet been identified. This study aimed to systematically estimate the association between immune scores and prognosis and develop a clinical nomogram to predict the survival of patients with lung adenocarcinoma. This study also systematically explored the underlying prognostic factors of the immune score in lung adenocarcinoma.Methods: Public datasets for lung adenocarcinoma was acquired from The Cancer Genome Atlas data portal. The immune score of each sample was calculated using the ESTIMATE algorithm. Univariate and multivariate Cox regression analyses identified several significant prognostic factors and further developed a prognostic nomogram. The C-index, calibration curve, and ROC curve were used to evaluate the predictive accuracy and discriminative ability of the resultant nomogram. Results: We found that patients with higher immune scores had a better prognosis (log rank test p = 0.0004). The nomogram that integrated the immune score could effectively stratify high-risk LUAD patients in terms of clinical response. Patients in the high-risk groups usually had a worse prognosis (log rank test p < 0.0001) and higher mortality. The mortality rate in high and low risk groups was 42.67% and 26.37%, respectively (p < 0.0001). In addition, correlation analysis showed that the immune score was significantly dependent on the mRNA expression of immunotherapy-associated biomarkers (PD-1, PD-L1, and LAG3) as well as on the presence of certain immune cell subtypes, but had no correlation with tumor mutation burden.Conclusion: The immune score is a prognostic factor in lung adenocarcinoma. The nomogram with an integrated immune score can effectively predict the survival of patients with lung adenocarcinoma. The mechanism by which the immune score estimates the prognosis of patients with lung adenocarcinoma is related to the tumor immune microenvironment.

The prognostic significance of lymphatic invasion in primary melanoma

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 9050-9050
Author(s):  
X. Xu ◽  
L. Chen ◽  
W. Hwang ◽  
P. Dawson ◽  
D. Guerry ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
Prognostic Significance ◽  
Primary Melanoma ◽  
Risk Groups ◽  
Lymphatic Invasion ◽  
Independent Prognostic Factor ◽  
Rank Test ◽  
Survival Curves ◽  
Cox Models ◽  
Log Rank Test

9050 Background: Lymphatic invasion (LI) is an under-observed phenomenon in primary malignancies that can be better detected by immunostaining and that may associate with prognosis. In this study we sought to test the hypothesis that LI was associated with melanoma-specific survival (MSS) and was an independent prognostic factor. Methods: This study included 277 patients with stage I/II melanomas in vertical growth phase (VGP) who had at least 10 years of follow up. The log-rank test was used to test the study hypothesis - 72 melanoma-specific deaths were needed for 80% power to detect an odds ratio of 2.1. Paraffin sections were stained with antibodies to podoplanin (lymphatic vessels) and S-100 (melanoma cells) to identify LI. Univariate and multivariate Cox models were used to evaluate the prognostic significance of LI. An independent cohort of 106 similar patients was used for validation of the 10-year MSS rates. Results: LI was observed in 44.5% (95% CI: 38.6% - 50.4%) of the melanomas and its presence was significantly associated with thickness, mitotic rate, gender, age, and ulceration (U). The Kaplan-Meier survival curves for those with and without LI were significantly different (log-rank test p=0.022). The final multivariate model for time to MSD identified 4 independent prognostic factors: thickness (HR=1.5, p<0.001), U (HR=2.2 p=0.013), site (HR=3.9, p<0.001) and LI (HR=1.9, p=0.015). These factors were used to define a prognostic tree with 5 risk groups defined by melanomas that were thin (≤1.0mm) with no LI or U; thin with LI but no U; 1–3mm with no U; 1–3mm with U; and >3mm. Respectively, MSS rates were 100%, 88.6%, 77%, 48% and 42%. In the validation set, observed 10-year MSS rates in each risk group were not significantly different from those predicted from the survival curves for the tree-based risk groups. Conclusions: LI is an independent prognostic factor for MSS. Among patients with thin melanomas without U the 10-year MSS was lower for those patients with LI (89%, 95% CI=78% - 99%; n=41) compared to those without (100%, n=78). LI is an important prognostic factor that needs further validation in a population of patients from the sentinel node biopsy era. No significant financial relationships to disclose.

CDKN2A or CDKN2B homozygous deletion with high-immune infiltration as a favorable prognostic factor for lung adenocarcinoma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e20543-e20543
Author(s):  
Benxu Tan ◽  
Yonghong Chen ◽  
Lei Xia ◽  
Xian Yu ◽  
Yusheng Huang ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
Lung Adenocarcinoma ◽  
Homozygous Deletion ◽  
Hazard Ratio ◽  
Gene Set Enrichment Analysis ◽  
Rank Test ◽  
Immune Infiltration ◽  
Log Rank Test ◽  
Significant Difference ◽  
Wild Group

e20543 Background: CDKN2A and CDKN2B both acted as tumor suppressor genes by regulating the cell cycle, which in humans were located at chromosome 9, band p21.3. The frequencies of homozygous deletion (HomDel) in CDKN2A and CDKN2B in lung adenocarcinoma (LUAD) were 12.5% and 12.1%, respectively. However, the genomic, immunogenomic features and impact on the prognosis of LUAD patients with CDKN2A/B HomDel were still unclear. Methods: The cohort of this study was from The Cancer Genome Atlas (TCGA). A total of 508 LUAD patients, including 99 CDKN2A/B HomDel (homdel) and 509 CDKN2A/B wild (wild). This study explored the difference of genomic and immunogenomic landscape between homdel and wild by analysis of whole-exome sequencing (WES) and RNA sequencing data. Results: The most frequently mutated genes were TP53, TTN, MUC16, and CSMD3. Their frequencies in homdel and wild are 46% and 48%, 43% and 46%, 35% and 41%, 33% and 38%, respectively. There was no significant difference of tumor mutational burden (TMB) between homdel and wild (median TMB, 133 in homdel vs 177 in wild; Wilcoxon test, p = 0.11), and clinical characteristics including age, gender, smoking history, and tumor stage were not significantly different between homdel and wild. Homdel had a shorter overall survival (OS) than wild (Log-rank test, p = 0.04, Hazard Ratio: 0.7, 95% CI: 0.49-1.02), but there was no significant difference in progression-free survival (PFS) (Log-rank test, p = 0.05, Hazard Ratio: 0.73, 95% CI: 0.51-1.04). We used single sample gene set enrichment analysis (ssGSEA) to calculate the enrichment score (ES) of 25 immune-related pathways such as antigen presentation and T cell-mediated immunity, and then used the consensus clustering algorithm (ConsensusClusterPlus) to cluster homdel and wild respectively, and both clustered into low and high immune infiltration groups. For the high immune infiltration and low immune infiltration in homdel and wild, high immune infiltration had a longer OS (Log-rank test, p = 0.009, Hazard Ratio: 2.19, 95% CI: 1.22-3.94) and PFS (Log-rank test, p = 0.044, Hazard Ratio: 1.8, 95% CI: 1.01-3.2) than low immune infiltration in homdel. However, there was no significant heterogeneity between high and immune infiltration in terms of PFS (Log-rank test, p = 0.28, Hazard Ratio: 1.21, 95% CI: 0.87-1.68) and OS (Log-rank test, p = 0.96, Hazard Ratio: 1.01, 95% CI: 0.71-1.44) in the wild group, the wild group had longer OS than homdel group with low immune infiltration (Log-rank test, p = 0.003, Hazard Ratio: 0.5, 95% CI: 0.29-0.88), while had the same OS with homdel with high immune infiltration, irrespective of immune infiltration. And so was PFS (Log-rank test, p = 0.005, Hazard Ratio: 0.48, 95% CI: 0.27-0.82). Conclusions: CDKN2A/B homdel was an unfavorable prognostic factor for LUAD, but which with high immune infiltration might improve patient survival time.

Occurrence of Chromosomal Translocations as Independent Prognostic Factor in Chronic Lymphocytic Leukemia.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 2084-2084
Author(s):  
Christine Mayr ◽  
Cathrine Schulz ◽  
Stephan Stilgenbauer ◽  
Alexander Kröber ◽  
Hartmut Döhner ◽  
...  
Keyword(s):  
Risk Factor ◽  
Prognostic Factors ◽  
High Risk ◽  
Prognostic Factor ◽  
Chronic Lymphocytic Leukemia ◽  
Prognostic Significance ◽  
Lymphocytic Leukemia ◽  
Chromosomal Translocations ◽  
Study Cohort ◽  
Binet Stage

Abstract Background: The course of chronic lymphocytic leukemia (CLL) is highly variable. Therefore, there is a need for prognostic factors that are readily performed and have a high predictive power. Methods: The occurrence of translocations, a recently identified prognostic factor in CLL (Blood2006;107:742–751), was studied in 148 previously untreated, mostly early-stage patients and compared with respect to treatment-free survival (TFS) to several prognostic factors (Binet stage, mutational status of immunoglobulin genes, CD38, thymidine kinase serum concentration and cytogenetic aberrations detected by interphase FISH). To investigate chromosomal translocations, we applied a new method, CpG oligodeoxynucleotide stimulation that allows efficient preparation of metaphase spreads from CLL cells. Results: The occurrence of translocations classified the majority of patients with poor prognosis. If translocations were investigated in addition to the currently used prognostic factors they identified those patients who were classified to be in a low-risk group based on traditionally used criteria, who had in fact a high risk for progression. Vice versa, patients in the high-risk groups for progression who did not have translocations had a long TFS. There was a substantial overlap of patients who had translocations and additional risk factors. But when we omitted patients who had translocations in addition to a given risk factor, we found that the respective risk factor lost its prognostic significance for the remaining patients. The two factors that retained their prognostic power in these patients were translocations and the Binet stage. This could suggest that the prognostic significance of the currently used factors derives from their frequent co-occurrence with translocations. Finally, multivariate analyses demonstrated that Binet stage (p=0.02) and translocations (p=0.0005) are the factors with the highest impact on TFS in our study cohort. Conclusion: We present a method for efficient preparation of metaphase spreads in CLL cells in order to investigate chromosomal translocations. The occurrence of translocations is an independent prognostic marker in CLL. Finally, translocations occur not as a late event in the course of the disease and may define a new biological subgroup in this disease entity.

Comorbidity Is An Independent Prognostic Factor in AML: Comparison of Two Comorbidity Scores.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 3106-3106
Author(s):  
Juergen Novotny ◽  
Achim Aisenbrey ◽  
Holger Nückel ◽  
Ulrich Dührsen
Keyword(s):  
Prognostic Factor ◽  
Median Survival ◽  
Hematopoietic Cell Transplantation ◽  
Conflicts Of Interest ◽  
Risk Groups ◽  
Independent Prognostic Factor ◽  
Rank Test ◽  
Log Rank Test ◽  
Comorbidity Scores ◽  
Comorbidity Index

Abstract Abstract 3106 Poster Board III-43 Objective Many factors have been studied to predict outcome and allocate treatment in AML. The best established prognostic factors are karyotype and age. However, comorbidity may play an important role in the outcome of AML. We applied two comorbidity scores at the time of first admission in order to test this hypothesis. Methods We retrospectively analysed 198 consecutive patients with AML. All patients were included irrespective of the applied therapy. Karyotype risk group was 11.6 % good, 68.0 intermediate and 20.4 % poor risk, respectively. The median survival was 382 days. The median age was 62 years (range 20 – 81), 95 were male, 103 were female. The criteria of the Charlson Comorbidity Index (CCI) and the recently developed Hematopoietic Cell Transplantation-Specific Comorbidity Index (HCT-CI) were applied. However, the cut-offs were set lower than in the original publication in order to detect the possible impact of minor comorbidity. Results In our study, the HCT-CI (left figure) separated clearly between patients with a score of more than one (dotted line), one (dashed line) and zero (continous line) (median survival: 100 vs 328 vs 718 days; log rank test p<0.0001). Similarly, the CCI separated the patients with more than one (dotted line), one (dashed line) and none (continous line) (median survival: 94 vs 293 vs 515 days; log rank test p<0.0001). Karyotype (p < 0.001), HCT-CI (p = 0.003) and age (cut-off 60 years; p = 0.006) we shown as independent risk factors by multivariate analysis. The CCI (right figure) separated only between patients with a score of zero (continous line) and those with at least one score point. Patients with one (dashed line) and patients more than one (dotted line) were not separated. Conclusions Our findings show that HCT-CI is an additional prognostic factor in AML, at least in our cohort. We extend previous findings severalfold. Firstly, our analysis includes 90 patients younger than 60 years and was not restricted to patients older than 60 years. Secondly, we directly compared two comorbidity indices, showing that the HCT-CI discriminaates between three risk groups. Thirdly, we showed that comorbidity is an independent predictor for survival. In conclusion comorbidity seems to be an independent prognostic factor and should be studied prospectively to clarify its use for stratification in therapeutic studies. Disclosures No relevant conflicts of interest to declare.

scholarly journals Oncologic Nomogram for Stage I Rectal Cancer to Assist Patient Selection for Adjuvant (Chemo)Radiotherapy Following Local Excision

2021 ◽  
Vol 11 ◽  
Author(s):  
Shutao Zhao ◽  
Xin Chen ◽  
Dacheng Wen ◽  
Chao Zhang ◽  
Xudong Wang
Keyword(s):  
Rectal Cancer ◽  
Prognostic Factors ◽  
High Risk ◽  
Risk Groups ◽  
Cox Proportional Hazards ◽  
Stage I ◽  
Rank Test ◽  
High Survival ◽  
High Risk Patients ◽  
Risk Patients

Background: Because of the low rate of lymph node metastasis in stage I rectal cancer (RC), local resection (LR) can achieve high survival benefits and quality of life. However, the indications for postoperative adjuvant therapy (AT) remain controversial.Methods: A retrospective analysis was performed in 6,486 patients with RC (pT1/T2) using the Surveillance, Epidemiology, and End Results (SEER) database. Patients were initially diagnosed from 2004 to 2016; following LR, 967 received AT and 5,519 did not. Propensity score matching (PSM) was used to balance the confounding factors of the two groups; the Kaplan–Meier method and the log-rank test were used for survival analysis. Cox proportional hazards regression analysis was used to screen independent prognostic factors and build a nomogram on this basis. X-tile software was used to divide the patients into low-, moderate-, and high-risk groups based on the nomogram risk score.Results: Multivariate analysis found that age, sex, race, marital status, tumor size, T stage, and carcinoembryonic antigen (CEA) in the non-AT group were independent prognostic factors for stage I RC and were included in the nomogram prediction model. The C-index of the model was 0.726 (95% CI, 0.689–0.763). We divided the patients into three risk groups according to the nomogram prediction score and found that patients with low and moderate risks did not show an improved prognosis after AT. However, high-risk patients did benefit from AT.Conclusion: The nomogram of this study can effectively predict the prognosis of patients with stage I RC undergoing LR. Our results indicate that high-risk patients should receive AT after LR; AT is not recommended for low-risk patients.

Circulating proteasome levels are an independent prognostic factor for survival in multiple myeloma

Blood ◽  
2006 ◽  
Vol 109 (5) ◽  
pp. 2100-2105 ◽  
Author(s):  
Christian Jakob ◽  
Karl Egerer ◽  
Peter Liebisch ◽  
Seval Türkmen ◽  
Ivana Zavrski ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Prognostic Factor ◽  
Prognostic Significance ◽  
Independent Prognostic Factor ◽  
Rank Test ◽  
Ubiquitinated Proteins ◽  
Intracellular Degradation ◽  
Log Rank Test ◽  
Cycle Regulation ◽  
First Time

Abstract The proteasome is a proteolytic complex for intracellular degradation of ubiquitinated proteins which are involved in cell-cycle regulation and apoptosis. A constitutively increased proteasome activity has been found in myeloma cells. We studied circulating proteasome levels and their prognostic significance in sera of 50 control subjects, 20 persons with monoclonal gammopathies of undetermined significance (MGUS), and 141 previously untreated patients with multiple myeloma (MM) by an anti-20S proteasome enzyme-linked immunoabsorbent assay (ELISA). Serum proteasome concentrations were significantly elevated in MM compared with controls (P < .001), in MM versus MGUS (P = .03), and in active (n = 101) versus smoldering (n = 40) MM (P < .001). In patients with active MM, there was a significant (P < .001) decrease from pretreatment to post-treatment proteasome concentrations in responders to chemotherapy, but not in nonresponders. Circulating proteasome levels were identified as a prognostic factor for overall survival in the univariate (P < .001 log-rank test) and in the multivariate (hazard ratio, 4.38) survival analysis in patients with active MM. We demonstrate for the first time that increased serum proteasome concentrations correlate with advanced disease and are an independent prognostic factor in MM.

scholarly journals Oncological results of neoadjuvant chemohormonal therapy in patients with high and very high-risk prostate cancer

2020 ◽  
Vol 16 (1) ◽  
pp. 54-63
Author(s):  
M. V. Berkut ◽  
A. S. Artemjeva ◽  
S. A. Reva ◽  
S. S. Tolmachev ◽  
S. B. Petrov ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Specific Antigen ◽  
Risk Groups ◽  
Rank Test ◽  
Chemohormonal Therapy ◽  
Log Rank Test ◽  
Oncological Results ◽  
Very High

Tolsotogo St., Saint Petersburg 197022, RussiaBackground. Prostate cancer (PCa) of a high and very high risk is a potentially fatal disease that requires an active multimodal approach, including the use of neoadjuvant drug treatment. As option for this treatment is neoadjuvant chemohormonal therapy (NCHT) followed by radical prostatectomy (RPE). However, data on the oncological results of treatment of such patients are still limited and the role of neoadjuvant therapy in the treatment of high and very high-risk PCa remains not fully understood.Objective: to assess the oncological results of treatment patients with localized and locally advanced PCa of high and very high risk after NCHT. Materials and methods. This was a prospective randomized study: patients with PCa of high and very high-risk groups (prostate specific antigen levels (PSA) >20 ng/ml and/or Gleason score ³8 and/or clinical stage >T2c) were treated with RPE only (group RPE; n = 35) or NCHT followed by RPE (NCHT/RPE group; n = 36). The neoadjuvant course included the intravenous administration of docetaxel once every 21 days (75 mg/m2 up to 6 cycles) and the antagonist of the gonadotropin releasing hormone degarelix according to the standard scheme (6 subcutaneous injections every 28 days). After a follow-up examination evaluating the result of the neoadjuvant regimen, patients underwent RPE with extanded lymphadenectomy.Results. A mean follow-up was 37.08 ± 20.46 months. A statistically significant reduction of prostate specific antigen >50 % post-chemohormonal therapy was observed in all 36 cases. Lower postoperative stage was noticed in 38.5 % in NCHT/RPE group compared with 2.7 % in RPE group. Similarly, positive surgical margin rate was higher in group without neoadjuvant therapy – 40 and 25 % (RPE group). Cancerspecific survival was 97.2 % in NCHT/RPE group and 87.56 % in the RP group (p = 0.037), cancer specific survival rate – 91.4 % and 97.2 % respectively (log-rank test p = 0.22). At the same time, no statistically significant differences were obtained in 3-year recurrence free survival between groups: 38.8 % in NCHT/RPE group versus 43.6 % in the RPE group (log-rank test p = 0.36).Conclusion. Conducting NCHT before RPE is a safe and effective strategy in patients with PCa of high and very high risk groups and could improve oncological results.

scholarly journals Development and Analysis of a Weighed Prognostic Model in Newly Diagnosed Multiple Myeloma Patients

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 47-48
Author(s):  
Xue-Han Mao ◽  
Yan Xu ◽  
Yuting Yan ◽  
Jiahui Liu ◽  
Huishou Fan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multiple Myeloma ◽  
Multivariate Analysis ◽  
Prognostic Factors ◽  
High Risk ◽  
Prognostic Factor ◽  
Prognostic Model ◽  
Cytogenetic Abnormalities ◽  
Total Score Range ◽  
Prognosis Model

Background and Objective: Multiple myeloma (MM) is characterized with significant cytogenetic changes and complex tumor microenvironment, thus patient survival is extremely heterogeneous. Various disease-related or patient-related factors affect the prognosis of patients. This study tried to analyze the prognostic indicators of patients with newly-treated MM, especially explored the prognosis of multiple cytogenetic abnormalities and the ratio of lymphocytes to monocytes (LMR). Additionally, we established a comprehensive prognostic model to help determine the patient prognosis. Methods: After screening, 603 patients of untreated MM from January 2008 to June 2017, with complete baseline indicators were enrolled into the study. By univariate and multivariate Cox analysis, risk factors related to the prognosis of patients were evaluated, and a weighted prognosis model was established to compare the survival differences of patients in each risk stratification. Result: Optimal thresholds of ALC, LWR, NLR and LMR were determined by ROC curve and Youdex index: ALC = 1.415, LWR = 0.325, NLR = 1.935, LMR = 2.95. Survival analysis showed that patients with LMR ≤ 2.95, ALC ≥ 1.415 and LWR ≥ 0.325 had significantly better survival compared with their respective control groups. Cox multivariate analysis showed that among the four indicators, only LMR≤2.95 was an independent adverse prognostic factor for overall survival (OS)(Figure 1A). 17p deletion, 1q21 amplification, t (4; 14) / t (14; 16) were define as high-risk cytogenetic abnormalities (HRA). Of the 603 patients, about 60% were associated with at least one high-risk cytogenetic event. Among them, the occurrence of cumulative 0, 1, 2, and 3 HRA were 39.6% (239/603), 42.5% (256/603), 16.6% (100/603), and 1.3% (8/603), respectively. There was no significant difference in survival among patients with same number of HRAs. The median OS of patients with 0, 1 and ≥ 2 HRA were not reached, 62.1 months (95% CI, 49.3-74.9) and 30.4 months (95% CI, 24.5-36.3), respectively (p &lt;0.001)(Figure 1B).Final Cox regression model showed that age 65 ~ 74 (HR=1.77, 95%CI, 1.24-2.51, p=0.001), age ≥75 (HR=2.46, 95%CI, 1.69-3.58, p &lt; 0.001), LDH≥247 U/L (HR =1.65, 95%CI, 1.07-2.51, p=0.023), ISS stage III (HR=1.76, 95%CI, 1.24-2.50, p=0.002), LMR≤2.95 (HR=1.53, 95%CI, 1.08-2.18, p=0.017), 1 HRA (HR=1.87, 95%CI, 1.27-2.75, p=0.002) and ≥2 HRA (HR=3.48, 95%CI, 2.22-5.45, p&lt;0.001) are independent adverse prognostic factors for OS. Then weighted risk factors were summed to establish a comprehensive prognosis model, with a total score range of 0-6 points. Accordingly, the whole cohort was divided into low risk (0-1 points, 45.4%), intermediate risk (2 points, 27.9%), high risk (3 points, 19.2%) and ultra-high risk (4-6 points, 7.5 %) groups. The median OS of the four risk groups were 85.8 months (67.1-104.5), 49.0 months (44.7-53.3), 35.4 months (31.3-39.5), and 23.2 months (18.8-27.6), respectively (p&lt;0.001). The C-statistics of this prognostic model is 0.68 (95% CI, 0.64-0.71), which is significantly better than the D-S stage (C-statistics = 0.52, 95% CI, 0.50-0.55, p &lt;0.001), ISS (C-statistics = 0.60, 95% CI, 0.57-0.64, p &lt;0.001) and R-ISS stage (C-statistics = 0.60, 95% CI, 0.57-0.63, p &lt;0.001). Bootstrap resampling and calibration curve showed that the model has an accurate predictive effect on both short-term and long-term prognosis of patients(Figure 1C). Conclusion: In our analysis, ALC, LWR, LMR were associated with poor prognosis in NDMM patients, while NLR had no significant prognostic significance. Among the four indicators, LMR≤2.95 was the only independent prognostic factor. In NDMM patients, survival of patients with the same number of high-risk cytogenetic abnormalities were comparable with each other, regardless of whichever combination of HRA. Higher number of high-risk cytogenetic abnormalities were associated with worse prognosis. Cox multivariate analysis showed that, old age (65-74 years old, ≥75 years old), increased LDH (≥247 U/L), decreased LMR (≤2.95), ISS III, 1 HRA and ≥ 2 HRA were independent adverse prognostic factors that affect the OS of MM patients. 4. A comprehensive weighted prognostic model was established with the above factors, which was proved to effectively distinguish different prognosis of patients. Figure 1 Disclosures No relevant conflicts of interest to declare.

scholarly journals Identification of the Novel Methylated Genes’ Signature to Predict Prognosis in INRG High-Risk Neuroblastomas

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhichao Liu ◽  
Changchun Li
Keyword(s):  
Regression Analysis ◽  
High Risk ◽  
Survival Time ◽  
Median Survival ◽  
Median Survival Time ◽  
Test Group ◽  
Functional Enrichment ◽  
Rank Test ◽  
Cox Regression Analysis ◽  
Log Rank Test

Background. Neuroblastomas are the most frequent extracranial pediatric solid tumors. The prognosis of children with high-risk neuroblastomas has remained poor in the past decade. A powerful signature is required to identify factors associated with prognosis and improved treatment selection. Here, we identified a strong methylation signature that favored the earlier diagnosis of neuroblastoma in patients. Methods. Gene methylation (GM) data of neuroblastoma patients from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) were analyzed using a multivariate Cox regression analysis (MCRA) and univariate Cox proportional hazards regression analysis (UCPHRA). Results. The methylated genes’ signature consisting of eight genes (NBEA, DDX28, TMED8, LOC151174, EFNB2, GHRHR, MIMT1, and SLC29A3) was selected. The signature divided patients into low- and high-risk categories, with statistically significant survival rates (median survival time: 25.08 vs. >128.80 months, log-rank test, P < 0.001 ) in the training group, and the validation of the signature’s risk stratification ability was carried out in the test group (log-rank test, P < 0.01 , median survival time: 30.48 vs. >120.36 months). The methylated genes’ signature was found to be an independent predictive factor for neuroblastoma by MCRA. Functional enrichment analysis suggested that these methylated genes were related to butanoate metabolism, beta-alanine metabolism, and glutamate metabolism, all playing different significant roles in the process of energy metabolism in neuroblastomas. Conclusions. The set of eight methylated genes could be used as a new predictive and prognostic signature for patients with INRG high-risk neuroblastomas, thus assisting in treatment, drug development, and predicting survival.

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