Prognostic variables in patients with thick melanomas. Analysis of 362 cases

Abstract Background To explore the factors that affect the prognosis of overall survival (OS) and cancer-specific survival (CSS) of patients with stage IIIC1 cervical cancer and establish nomogram models to predict this prognosis. Methods Data from patients in the Surveil-lance, Epidemiology, and End Results (SEER) programme meeting the inclusion criteria were classified into a training group, and validation data were obtained from the First Affiliated Hospital of Anhui Medical University from 2010 to 2019. The incidence, Kaplan-Meier curves, OS and CSS of patients with stage IIIC1 cervical cancer in the training group were evaluated. Nomograms were established according to the results of univariate and multivariate Cox regression models. Harrell’s C-index, calibration plots, receiver operating characteristic (ROC) curves and decision-curve analysis (DCA) were calculated to validate the prediction models. Results The incidence of pelvic lymph node metastasis, a high-risk factor for the prognosis of cervical cancer, decreased slightly over time. Eight independent prognostic variables were identified for OS, including age, race, marriage status, histology, extension range, tumour size, radiotherapy and surgery, but only seven were identified for CSS, with marriage status excluded. Nomograms of OS and CSS were established based on the results. The C-indexes for the nomograms of OS and CSS were 0.687 and 0.692, respectively, using random sampling of SEER data sets and 0.701 and 0.735, respectively, using random sampling of external data sets. The AUCs for the nomogram of OS were 0.708 and 0.705 for the SEER data sets and 0.750 and 0.750 for the external data sets, respectively. In addition, AUCs of 0.707 and 0.709 were obtained for the nomogram of CSS when validated using SEER data sets, and 0.788 and 0.785 when validated using external data sets. Calibration plots for the nomograms were almost identical to the actual observations. The DCA also indicated the value of the two models. Conclusions Eight independent prognostic variables were identified for OS. The same factors predicted CSS, with the exception of the marriage status. Both OS and CSS nomograms had good predictive and clinical application value after validation. Notably, tumour size had the largest contribution to the OS and CSS nomograms.

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The Prognostic Variables Affecting the Frontal Sinusotomy Patency Outcome and How to Manage: A Prospective Study

Clinical Otolaryngology ◽

10.1111/coa.13761 ◽

2021 ◽

Author(s):

Yasser Khafagy ◽

Mohamed Ghonim ◽

Ahmed Elgendy ◽

Saad Elzayat

Keyword(s):

Prospective Study ◽

Prognostic Variables ◽

A Prospective Study

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O39: THE HISTOPATHOLOGICAL AND MOLECULAR FEATURES OF BREAST CARCINOMA WITH HIGH-GRADE TUMOUR BUDDING

British Journal of Surgery ◽

10.1093/bjs/znab117.039 ◽

2021 ◽

Vol 108 (Supplement_1) ◽

Author(s):

A Lloyd ◽

E Ryan ◽

M Boland ◽

S Medani ◽

Abd Elwahab ◽

...

Keyword(s):

Breast Carcinoma ◽

Epithelial To Mesenchymal Transition ◽

Lymph Node Involvement ◽

Low Grade ◽

High Grade ◽

Prognostic Variables ◽

Mesenchymal Transition ◽

Molecular Features ◽

Newcastle Ottawa Scale ◽

Tumour Budding

Abstract Background Tumour budding (TB) is an adverse histological feature in many cancers. It is thought to represent epithelial-to-mesenchymal transition, a key step in the metastatic process. The role of TB in breast carcinoma (BC) remains unclear. Aim To investigate the relationship between TB and other histological and molecular features of BC. Method A systematic search was performed to identify studies that compared features of BC based on the presence or absence of high-grade TB. Dichotomous variables were pooled as odds ratios (OR) using the Cochran–Mantel–Haenszel method. Quality assessment of the included studies was performed using the Newcastle-Ottawa scale (NOS). Result Seven studies with a total of 1040 patients (high grade TB n=519, 49.9%; low grade TB n=521, 50.1%) were included. A moderate- to high-risk of bias was noted. The median NOS was 7 (range 6-8). High-grade TB was significantly associated with lymph node involvement (OR 2.28, 95% c.i. 1.74 to 2.98, P<0.001) and lymphovascular invasion (OR 3.08, 95% c.i. 2.13 to 4.47, P<0.001). Regarding molecular subtypes, there was an increased likelihood of high-grade TB in oestrogen- (OR 1.66, 95% c.i. 1.21 to 2.29, P=0.002) and progesterone-receptor positive (OR 1.68, 95% c.i. 1.10 to 2.59, P=0.02) tumours. In contrast triple negative breast cancer had a reduced incidence of high-grade TB (OR 0.46, 95% c.i. 0.30 to 0.72, P=0.0006). Conclusion High-grade TB is enriched in hormone-positive BC and is associated with known adverse prognostic variables. TB may offer new insights into the metastatic processes of luminal BC. Take-home message High-grade TB is enriched in hormone-positive BC and is associated with known adverse prognostic variables. TB may offer new insights into the metastatic processes of luminal BC.

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Tissue biomarkers as prognostic variables of cervical cancer

Critical Reviews in Oncology/Hematology ◽

10.1016/j.critrevonc.2012.09.003 ◽

2013 ◽

Vol 86 (2) ◽

pp. 104-129 ◽

Cited By ~ 57

Author(s):

Angiolo Gadducci ◽

Maria Elena Guerrieri ◽

Carlo Greco

Keyword(s):

Cervical Cancer ◽

Prognostic Variables ◽

Tissue Biomarkers

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Prognostic Factors for Wilms Tumor Recurrence: A Review of the Literature

Cancers ◽

10.3390/cancers13133142 ◽

2021 ◽

Vol 13 (13) ◽

pp. 3142

Author(s):

Alissa Groenendijk ◽

Filippo Spreafico ◽

Ronald R. de Krijger ◽

Jarno Drost ◽

Jesper Brok ◽

...

Keyword(s):

Prognostic Factors ◽

Tumor Recurrence ◽

Wilms Tumor ◽

Clinicopathological Characteristics ◽

Copy Number Variations ◽

First Line ◽

Prognostic Variables ◽

Treatment Regimens ◽

International Collaborations ◽

Patients Experience

In high-income countries, the overall survival of children with Wilms tumors (WT) is ~90%. However, overall, 15% of patients experience tumor recurrence. The adverse prognostic factors currently used for risk stratification (advanced stage, high risk histology, and combined loss of heterozygosity at 1p and 16q in chemotherapy-naïve WTs) are present in only one third of these cases, and the significance of these factors is prone to change with advancing knowledge and improved treatment regimens. Therefore, we present a comprehensive, updated overview of the published prognostic variables for WT recurrence, ranging from patient-, tumor- and treatment-related characteristics to geographic and socioeconomic factors. Improved first-line treatment regimens based on clinicopathological characteristics and advancing knowledge on copy number variations unveil the importance of further investigating the significance of biological markers for WT recurrence in international collaborations.

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The influence of baseline prognostic variables on outcome after thrombolysis

Journal of Neurology ◽

10.1007/s004150050512 ◽

1999 ◽

Vol 246 (11) ◽

pp. 1059-1062 ◽

Cited By ~ 7

Author(s):

J. M. Wardlaw ◽

P. J. Dorman ◽

L. Candelise ◽

D. F. Signorini

Keyword(s):

Prognostic Variables

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Independent prognostic variables in acute myeloid leukaemia

Blood Reviews ◽

10.1016/j.blre.2010.10.002 ◽

2011 ◽

Vol 25 (1) ◽

pp. 39-51 ◽

Cited By ~ 62

Author(s):

Matthew L. Smith ◽

Robert K. Hills ◽

David Grimwade

Keyword(s):

Acute Myeloid Leukaemia ◽

Myeloid Leukaemia ◽

Prognostic Variables ◽

Acute Myeloid

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Clinical and biological implications of driver mutations in myelodysplastic syndromes

Blood ◽

10.1182/blood-2013-08-518886 ◽

2013 ◽

Vol 122 (22) ◽

pp. 3616-3627 ◽

Cited By ~ 904

Author(s):

Elli Papaemmanuil ◽

Moritz Gerstung ◽

Luca Malcovati ◽

Sudhir Tauro ◽

Gunes Gundem ◽

...

Keyword(s):

Early Detection ◽

Myelodysplastic Syndromes ◽

Complex Structure ◽

Driver Mutations ◽

Gene Interactions ◽

Prognostic Variables ◽

Oncogenic Mutations ◽

Key Points

Key Points MDS is characterized by mutations in >40 genes, a complex structure of gene-gene interactions and extensive subclonal diversification. The total number of oncogenic mutations and early detection of subclonal mutations are significant prognostic variables in MDS.

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