scholarly journals Minichromosome maintenance protein 7 as prognostic marker of tumor aggressiveness in pituitary adenoma patients

2016 ◽  
Vol 174 (3) ◽  
pp. 307-314 ◽  
Author(s):  
Antonella Coli ◽  
Sylvia L Asa ◽  
Guido Fadda ◽  
Domenico Scannone ◽  
Sabrina Chiloiro ◽  
...  
Keyword(s):  
Pituitary Adenoma ◽  
Clinical Outcome ◽  
Prognostic Marker ◽  
Progression Free Survival ◽  
Tumor Aggressiveness ◽  
Minichromosome Maintenance ◽  
Ki 67 ◽  
Free Survival ◽  
Risk Of Recurrence ◽  
Nuclear Expression

BackgroundKi-67 labeling index (LI) is currently regarded as a useful prognostic marker of pituitary adenoma (PA) clinical behavior, although its relevance as a reliable clinical indicator is far from being universally accepted, since both validations and criticisms are found in the literature. Minichromosome maintenance 7 (MCM7), a cell-cycle regulator protein, has been recently proposed as a marker of tumor aggressiveness in tumors from many sites, including the CNS. Therefore, we evaluated MCM7, in comparison to Ki-67, as a potential marker of clinical outcome in PA.Design and methodsIn this single-institution retrospective study, 97 patients with PA (23 ACTH, 12 GH, 29 PRL, 10 FSH/LH, and 23 non-secreting adenomas) were recruited and the prognostic value of both MCM7 and Ki-67 was evaluated by immunohistochemical techniques. In addition, p53 nuclear expression and mitotic index were also evaluated.ResultsTwenty-six of the 97 PA patients recurred during the follow-up period. Cox's regression analysis showed that high nuclear expression of MCM7 LI, unlike Ki-67 LI, was directly associated with a higher (7.7-fold) risk of recurrence/progression. Kaplan–Meier analysis of recurrence/progression-free survival curves revealed that patients with high MCM7 LI (≥15%) had a shorter recurrence/progression-free survival than those with low MCM7 LI (<15%). Moreover, among patients with invasive tumors, high MCM7 LI identified those with the highest risk of recurrence/progression.ConclusionsData from this study suggest that MCM7 is a prognostic marker of clinical outcome in PA patients, more reliable and informative than Ki-67.

scholarly journals Progression-Free Survival: An Important Prognostic Marker for Long-Term Survival of Small Cell Lung Cancer

2014 ◽  
Vol 76 (5) ◽  
pp. 218 ◽  
Author(s):  
Myoung-Rin Park ◽  
Yeon-Hee Park ◽  
Jae-Woo Choi ◽  
Dong-Il Park ◽  
Chae-Uk Chung ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Prognostic Marker ◽  
Cell Lung Cancer ◽  
Progression Free Survival ◽  
Small Cell ◽  
Small Cell Lung ◽  
Term Survival ◽  
Free Survival

scholarly journals P14.95 Is the pathological-grade relevant in “IDH-wild type, TERT-mutant” diffuse-gliomas? An analysis in 147 patients

2019 ◽  
Vol 21 (Supplement_3) ◽  
pp. iii90-iii90
Author(s):  
A E Danyeli ◽  
C B Akyerli ◽  
A Dinçer ◽  
E Coşgun ◽  
U Abacıoğlu ◽  
...  
Keyword(s):  
Overall Survival ◽  
Progression Free Survival ◽  
Genetic Alterations ◽  
Lower Grade ◽  
Wild Type ◽  
Ki 67 ◽  
Who Grade ◽  
Free Survival ◽  
Tert Promoter ◽  
Diffuse Gliomas

Abstract BACKGROUND Although the word “glioblastoma” still denotes a grade-IV pathology, basic molecular studies have clearly indicated that a significant proportion of lower-grade gliomas harbor genetic alterations typical of glioblastomas. Based on these findings cIMPACT-NOW update 3 has defined an entity called the “diffuse astrocytic glioma, IDH-wildtype, with molecular features of glioblastoma, WHO grade IV”. A TERT-promoter mutation is one of these typical molecular markers of glioblastomas. In this study we analyzed IDH-wild type, TERT-mutant diffuse gliomas of different pathological grades to look for differences in demographic, clinical and survival characteristics. MATERIAL AND METHODS 147 adult hemispheric diffuse-gliomas with wild-type IDH1/2 and mutant TERT-promoter (C228T or C250T) were retrospectively analyzed. Primary thalamic, cerebellar brainstem or spinal cases were excluded. 126 (86%), 16(11%) and 5(3%) patients were WHO grade IV, III and II respectively. After surgical treatment or stereotactic biopsy all patients underwent chemoradiation. Median follow-up was 16mo (1–110). Tumors of different grades were compared for age, gender, multifocality, gliomatosis pattern, Ki-67 index, progression-free survival and overall-survival. RESULTS Mean age at presentation for grade II, III and IV were comparable (58.1, 58 and 58.1; ANOVA, p=0.72). There was a slight male predominance in both lower-grades and WHO-grade IV (M:F ratios 1.625 and 1.74). Mean Ki-67 index was significantly higher in higher grades (0.06, 0.14 and 0.25 for grades II, III and IV; ANOVA, p=0.001). Multifocality was comparable (chi-sq, p=1) in lower-grades (3/21; 14.3%) vs. WHO-grade IV (18/126; 14.3%). Gliomatosis pattern was comparable (chi-sq, p=0.095) in lower-grades (2/21; 9.5%) vs. (3/126; 2.3%). Median recurrence free survival (RFS) was 16 months (0–63) in lower-grades and 8months (1–50) in WHO-grade IV. PFS was significantly different between 3 WHO-grades (Log rank, p=0.007) and also between lower-grades and WHO-grade IV (Log rank, p=0.002). Median overall survival was 26 months(2–110) in lower-grades and 15mo(1–91) in WHO-grade IV. OS was significantly different between 3 WHO-grades (Log rank, p=0.014) and also between lower-grades and WHO-grade IV (Log rank, p=0.007). CONCLUSION Increasing pathological grades of hemispheric “IDH-wild type, TERT-mutant diffuse gliomas” have similar demographic and clinical characteristics but incrasing proliferation indices, decrasing progression free survival and shorter overall survival. The findings may be suggesitve of different grades of one common tumor entity.

scholarly journals PATH-59. HISTOPATHOLOGICAL INVESTIGATION OF THE 1p/19q-CODELETED GLIOMAS RESECTED FOLLOWING ALKYLATING AGENTS CHEMOTHERAPY

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi156-vi156
Author(s):  
Tokunori Kanazawa ◽  
Kentaro Ohara ◽  
Kazunari Yoshida ◽  
Hikaru Sasaki
Keyword(s):  
Alkylating Agents ◽  
Progression Free Survival ◽  
Lower Grade ◽  
Histopathological Changes ◽  
Ki 67 ◽  
Free Survival ◽  
Foamy Cell ◽  
Histopathological Investigation ◽  
Volume Decrease ◽  
Mib 1

Abstract BACKGROUND Little is known about histopathological changes after chemotherapy in lower-grade gliomas (LrGGs). METHODS We investigated 15 1p/19q-codeleted gliomas resected following tumor volume decrease after alkylating agents chemotherapy in comparison with their pre-chemotherapy specimens. Histopathological changes by chemotherapy were evaluated by hematoxilyn-eosin staining and immunohistochemistry for Ki-67/MIB-1, CD68 as pan macrophage/monocyte marker, CD163 as presumed marker of M2 polarity, and nestin and CD133 as markers of glioma stem cells (GSCs). RESULTS Histologically, there were several presumed chemotherapy-related changes in the post-chemotherapy specimens, with the most frequent findings being sparse glial background and abundant foamy cell infiltration. The Ki-67/MIB-1 indices significantly decreased, and CD68+ cells significantly increased after chemotherapy. The increasing rate of CD68+ cells in the post-/pre-chemotherapy specimens was prone to be associated with patients’ progression-free survival (PFS) and overall survival (OS), but not tumor response. The number of CD163+ cells and the ratio of nestin+ cells and CD133+ cells significantly increased after chemotherapy. The number of CD163+ cells, the ratio of nestin+ cells and CD133+ cells, and M2 (CD163+)/M1+M2 (CD68+) ratio in the post-chemotherapy specimens were negatively correlated with patients’ PFS and OS. There was no difference between chemotherapy regimens (temozolomide versus nitrosourea-based) in the number of CD163+ cells and the ratio of nestin+ and CD133+ cells. CONCLUSIONS GSCs in conjunction with M2 macrophages constitute the mechanism of resistance to and recurrence after alkylating agents chemotherapy in LrGGs.

Expression of YAP1 and pSTAT3-S727 and their prognostic value in glioma

2020 ◽  
pp. jclinpath-2020-206868
Author(s):  
Wei Sang ◽  
Jing Xue ◽  
Li-Ping Su ◽  
Abulajiang Gulinar ◽  
Qian Wang ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Progression Free Survival ◽  
Idh1 Mutation ◽  
Clinicopathological Parameters ◽  
Low Grade ◽  
Ki 67 ◽  
Free Survival ◽  
Tumour Location ◽  
Spearman Correlation Test ◽  
The Relationship

AimsA growing research demonstrated that YAP1 played important roles in gliomagenesis. We explored the expression of YAP1 and STAT3, the relationship between them and the effect of YAP1, STAT3 on prognosis in glioma.MethodsExpression of YAP1, p-YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 in 141 cases of low-grade gliomas (LGG) and 74 cases of high-grade gliomas (HGG) of surgical specimens were measured by immunohistochemistry. Pearson’s X2 test was used to determine the correlation between immunohistochemical expressions and clinicopathological parameters. Pearson’s or Spearman correlation test was used to determine the association between these proteins expression. Survival analysis was used to investigate the effect of these proteins on prognosis.ResultsHigh expressions of YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 were found in HGG compared with LGG (p=0.000). High expressions of YAP1, STAT3, pSTAT3-S727 and pSTAT3-Y705 were found in 63.5%, 59.5%, 66.2% and 31.1% cases of HGG, respectively. YAP1 expression was associated to tumour location, Ki-67 and P53, STAT3 expression was related with Ki-67 and P53, and the expression of pSTAT3-S727 was associated with Ki-67. There was a significantly positive correlation between YAP1 and pSTAT3-S727 (p<0.0001; r=0.5663). Survival analysis revealed that patients with YAP1 and pSTAT3-S727 coexpression had worse overall survival (OS) and progression-free survival (PFS) (p<0.0001). Tumour grade, age, Ki-67 and YAP1 expression were independent prognostic factors for OS. In LGG group, both YAP1 and pSTAT3-S727 expressions were negative correlation with IDH1 mutation, YAP1 and pSTAT3-S727 coexpression showed worse OS and PFS of glioma patients.ConclusionOur research showed that YAP1 and STAT3 were significantly activated in HGG compared with LGG. YAP1 significantly correlated with pSTAT3-S727 in glioma, YAP1 and pSTAT3-S727 coexpression may serve as a reliable prognostic biomarker and therapeutic target for glioma.

scholarly journals Prediction of Progression-Free Survival in Patients With Advanced, Well-Differentiated, Neuroendocrine Tumors Being Treated With a Somatostatin Analog: The GETNE-TRASGU Study

2019 ◽  
Vol 37 (28) ◽  
pp. 2571-2580 ◽  
Author(s):  
Alberto Carmona-Bayonas ◽  
Paula Jiménez-Fonseca ◽  
Ángela Lamarca ◽  
Jorge Barriuso ◽  
Ángel Castaño ◽  
...  
Keyword(s):  
Neuroendocrine Tumors ◽  
Failure Time ◽  
Somatostatin Analogs ◽  
Progression Free Survival ◽  
Accelerated Failure Time Model ◽  
Endocrine Tumors ◽  
First Line ◽  
Ki 67 ◽  
Free Survival ◽  
Well Differentiated

PURPOSE Somatostatin analogs (SSAs) are recommended for the first-line treatment of most patients with well-differentiated, gastroenteropancreatic (GEP) neuroendocrine tumors; however, benefit from treatment is heterogeneous. The aim of the current study was to develop and validate a progression-free survival (PFS) prediction model in SSA-treated patients. PATIENTS AND METHODS We extracted data from the Spanish Group of Neuroendocrine and Endocrine Tumors Registry (R-GETNE). Patient eligibility criteria included GEP primary, Ki-67 of 20% or less, and first-line SSA monotherapy for advanced disease. An accelerated failure time model was developed to predict PFS, which was represented as a nomogram and an online calculator. The nomogram was externally validated in an independent series of consecutive eligible patients (The Christie NHS Foundation Trust, Manchester, United Kingdom). RESULTS We recruited 535 patients (R-GETNE, n = 438; Manchester, n = 97). Median PFS and overall survival in the derivation cohort were 28.7 (95% CI, 23.8 to 31.1) and 85.9 months (95% CI, 71.5 to 96.7 months), respectively. Nine covariates significantly associated with PFS were primary tumor location, Ki-67 percentage, neutrophil-to-lymphocyte ratio, alkaline phosphatase, extent of liver involvement, presence of bone and peritoneal metastases, documented progression status, and the presence of symptoms when initiating SSA. The GETNE-TRASGU (Treated With Analog of Somatostatin in Gastroenteropancreatic and Unknown Primary NETs) model demonstrated suitable calibration, as well as fair discrimination ability with a C-index value of 0.714 (95% CI, 0.680 to 0.747) and 0.732 (95% CI, 0.658 to 0.806) in the derivation and validation series, respectively. CONCLUSION The GETNE-TRASGU evidence-based prognostic tool stratifies patients with GEP neuroendocrine tumors receiving SSA treatment according to their estimated PFS. This nomogram may be useful when stratifying patients with neuroendocrine tumors in future trials. Furthermore, it could be a valuable tool for making treatment decisions in daily clinical practice.

scholarly journals Is surgery at progression a prognostic marker for improved 6-month progression-free survival or overall survival for patients with recurrent glioblastoma?

2011 ◽  
Vol 13 (10) ◽  
pp. 1118-1124 ◽  
Author(s):  
J. L. Clarke  ◽  
M. M. Ennis  ◽  
W. K. A. Yung ◽  
S. M. Chang ◽  
P. Y. Wen ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Marker ◽  
Progression Free Survival ◽  
Recurrent Glioblastoma ◽  
Free Survival

Progressive but Previously Untreated CLL Patients with Greater Array CGH Complexity Exhibit A Less Durable Response to Chemoimmunotherapy

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2406-2406
Author(s):  
Neil E. Kay ◽  
Jeanette Eckel Passow ◽  
Esteban Braggio ◽  
Scott Van Wier ◽  
Tait Shanafelt ◽  
...  
Keyword(s):  
Clinical Outcome ◽  
Board Of Directors ◽  
Copy Number ◽  
Research Funding ◽  
Progression Free Survival ◽  
Advisory Committees ◽  
Free Survival ◽  
Genomic Complexity ◽  
Duration Of Response ◽  
Gains And Losses

Abstract Abstract 2406 The outcome for a given CLL patient is difficult to predict. While there are promising models, they require collation of multiple clinical and laboratory parameters, and it remains to be seen whether they will apply to typical CLL patients in the community. To further dissect out explanations for this dramatic clinical heterogeneity, we sought to understand genomic complexity of clonal B-cells as a possible explanation of clinical variability with specific application to genomic complexity as a predictor of therapeutic response and clinical outcome in CLL. Thus we wished to identified global gains and losses of genetic material in order to define copy-number abnormalities (CNA) in 48 clinically progressive CLL patients who were about to be treated on a chemoimmunotherapy protocol. This protocol was previously reported by us (Blood. 109:2007) and had an induction phase with pentostatin (2 mg/m2), cyclophosphamide (600 mg/m2) and rituximab (375 mg/m2) given every 3 weeks for 6 cycles and then responding patients were followed ever three months until relapse. In order to estimate CNA, we employed array-based comparative genomic hybridization (aCGH) using a one-million oligonucleotide probe array format on the leukemic B-cells from the 48 patients entering this trial. In those same patients, the aCGH data were compared to a) FISH detecxtable data using a panel for the common recurring genetic defects seen in CLL and b) to their clinical outcome on this trial. With aCGH we found that 288 CNA were identified (median of 4 per patient; range 0–32) of which 215 were deletions and 73 were gains. The aCGH method identified most of the FISH detected abnormalities with a complete concordance for 17p13.1- deletion (17p-) between aCGH and FISH. We also identified chromosomal gain or loss in ≥6% of the patients on chromosomes 3, 8, 9, 10, 11, 12, 13, 14 and 17. We found that CLL patients with ≥15 CNA had a significantly worse progression free survival (PFS) than patients with <15 CNA (p=0.004)(figure). Patients with ≥15 CNA also had a shorter duration of response than those with <15 CNA (p=0.0726). Of interest, more complex genomic features were found both in patients with a 17p13.1 deletion and in more favorable genetic subtypes such as 13q14.1. Thus, for 5 patients with >15 CNAs the following FISH patterns were seen: +12/13q14.1-x1/13q14.1 -x2, 13q14.1 ×1 (n=2), and 17p13.1 (n=2). In addition, a 17p- by FISH was positively associated with the number of CNA and total deletion size. The odds of having an overall response decreased by 28% (95% CI: 5–55%; p=0.015) with each additional CNA for the 17p13.1- patients. In addition to defining genomic complexity as the total number of CNA for each patient, we also defined complexity as the sum of the lengths of all interstitial chromosomal gains and losses. When defined as the total size of chromosomal gains or losses, genomic complexity was significantly associated with 17p13.1 and worse overall clinical response. In summary, this analysis utilized the global assessment of copy number abnormalities using a high-resolution aCGH platform for clinically progressive CLL patients prior to initiation of their treatment. One outcome was that we found higher genomic complexity was associated with shorter progression-free survival, reduced duration of response and predicted a poor response to treatment. In addition since we did find genomic complexity in more traditionally favorable FISH categories, such as 13q14.1 type defects, this may explain why some of the latter patients do not fare as well as might be expected even with aggressive chemoimmunotherapy approaches. This study adds information on the association between inferior trial response and increasing genetic complexity as CLL progresses. Disclosures: Off Label Use: Pentostatin. Kipps: GlaxoSmithKline: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Genzyme: Research Funding; Memgen: Research Funding; Igenica: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sanofi Aventis: Research Funding; Abbott Laboratories: Research Funding.

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