Accuracy and prognostic impact of FDG PET/CT and biopsy in bone marrow assessment of follicular lymphoma at diagnosis: A Nation-Wide cohort study

Backgound: In the workup of follicular lymphoma (FL), bone marrow biopsy (BMB) assessment is a key component of FLIPI and FLIPI2, the most widely used outcome scores. During the previous decade, several studies explored the role of FDG-PET/CT for detecting nodal and extranodal disease, with only one large study comparing both techniques. Methods: The aim of our study was to evaluate the diagnostic accuracy and the prognostic impact of both procedures in a retrospective cohort of 299 FL patients with both tests performed at diagnosis. In order to avoid a collinearity bias, FLIPI2 was deconstructed in its founding parameters, and the bone marrow involvement (BMI) parameter separately included as: a positive BMB, a positive PET/CT, the combined "PET/CT and BMB positive" or "PET/CT or BMB positive". These variables were also confronted independently with the POD24 in 233 patients treated with intensive regimens. Results: In the total cohort, bone marrow was involved in 124 and 60 patients by BMB and PET/CT, respectively. In terms of overall survival, age > 60 y.o. and the combined "PET/CT or BMB positive" achieved statistical independence as a prognostic factor. In patients treated with an intensive regimen, only the combined "PET/CT or BMB positive" added prognostic value for a shorter overall survival, when confronted with the POD24. Conclusion: Our results show that in FL both BMB and PET/CT should be considered at diagnosis, as their combined assessment provides independent prognostic value in the context of the most widely use clinical scores

FDG PET- CT SUVmax and IASLC/ATS/ERS histologic classification: a new profile of lung adenocarcinoma with prognostic value

Quantitative analysis of glucose consumption measured by maximum standardized uptake value (SUVmax) in lung adenocarcinoma (LA) remains in discussion and metabolic information provided by FDG-PET is not included in cancer staging. The first aim of this work was to evaluate the correlation between SUVmax and different histologic subtypes of LA. The second aim was to establish the correlation between SUVmax and TNM, genetic mutations and prognostic. Glucose consumption of primary tumor was quantified using SUVmax in 112 patients with histologically-confirmed LA. Specimens were classified according to the IASLC/ATS/ERS into in situ -AIS-, minimally invasive -MIA-, invasive (lepidic, papillary, acinar, solid and micropapillary) and invasive mucinous adenocarcinoma. Tumors were grouped according to three histological grades; low-grade: AIS, MIA, intermediate-grade: lepidic, acinar, papillary and high-grade: micropapillary, solid and mucinous. Comparisons between SUVmax and histologic subtypes were performed with Kruskal-Wallis followed by a Dunn's test. Overall (OS) and disease-free survival (DFS) were calculated. SUVmax was histologically-dependent (P<0.001): AIS 0.5±0.1, MIA 1.1±0.9 lepidic 3.3±3.1, acinar 8.6±6.7, papillary 3.9±5.1, micropapillary 4.9±3.4, solid 10.4±5.4 and invasive mucinous 2.7±1.2. SUVmax was associated with TNM stage in stage IA and IB. SUVmax was significantly lower in patients with K-RAS and EGFR mutation. Low SUVmax was associated with low-grade histology and with a higher OS and DSF compared to high SUVmax (intermediate and high-grade histology). SUVmax on FDG-PET is a powerful information in the presurgical evaluation of LA patients. It provides prognostic data and should be considered in the staging algorithm of patients with LA

FDG PET- CT SUVmax and IASLC/ATS/ERS histologic classification: a new profile of lung adenocarcinoma with prognostic value

Quantitative analysis of glucose consumption measured by maximum standardized uptake value (SUVmax) in lung adenocarcinoma (LA) remains in discussion and metabolic information provided by FDG-PET is not included in cancer staging. The first aim of this work was to evaluate the correlation between SUVmax and different histologic subtypes of LA. The second aim was to establish the correlation between SUVmax and TNM, genetic mutations and prognostic. Glucose consumption of primary tumor was quantified using SUVmax in 112 patients with histologically-confirmed LA. Specimens were classified according to the IASLC/ATS/ERS into in situ -AIS-, minimally invasive -MIA-, invasive (lepidic, papillary, acinar, solid and micropapillary) and invasive mucinous adenocarcinoma. Tumors were grouped according to three histological grades; low-grade: AIS, MIA, intermediate-grade: lepidic, acinar, papillary and high-grade: micropapillary, solid and mucinous. Comparisons between SUVmax and histologic subtypes were performed with Kruskal-Wallis followed by a Dunn's test. Overall (OS) and disease-free survival (DFS) were calculated. SUVmax was histologically-dependent (P<0.001): AIS 0.5±0.1, MIA 1.1±0.9 lepidic 3.3±3.1, acinar 8.6±6.7, papillary 3.9±5.1, micropapillary 4.9±3.4, solid 10.4±5.4 and invasive mucinous 2.7±1.2. SUVmax was associated with TNM stage in stage IA and IB. SUVmax was significantly lower in patients with K-RAS and EGFR mutation. Low SUVmax was associated with low-grade histology and with a higher OS and DSF compared to high SUVmax (intermediate and high-grade histology). SUVmax on FDG-PET is a powerful information in the presurgical evaluation of LA patients. It provides prognostic data and should be considered in the staging algorithm of patients with LA

p53 expression in breast cancer predicts tumors with low probability of non-sentinel nodes infiltration.

AIM: Several predictive tools of non-sentinel lymph nodes neoplastic involvement when a positive sentinel lymph node is found have been described. However, molecular factors have been rarely evaluated to build these tools. The aim of this study was to establish which factors predicted non-sentinel lymph nodes infiltration in our setting, including some molecular factors. MATERIAL AND METHODS: We carried out a retrospective review of 161 patients with breast cancer and a positive sentinel lymph node who had undergone axillary lymph node dissection, none of whom had received neoadjuvant treatment. Features evaluated as predictive factors for non-sentinel node positivity were: menopausal status, tumor size, histological subtype, histological grade, lymphovascular invasion, extracapsular invasion, Ki67 index, hormonal receptors, CerbB2 and p53 expression, size of sentinel lymph node metastases and number of sentinel lymph nodes affected. RESULTS: Tumor size (P = 0.001), size of sentinel lymph node metastases (P = 0.001), lobular invasive carcinoma (P = 0.05) and lymphovascular invasion (P = 0.006) were significantly associated with non-sentinel lymph node positivity. Tumor p53 positive expression was strongly associated with non-sentinel lymph node negativity (P = 0.000). In multivariate analysis, all these factors but tumor size maintained their significance. The discrimination power of the model calculated by the area under the receiver-operator curve was 0.811 (95% confidence interval, 0.741-0.880). CONCLUSION: p53 expression in breast cancer was highly predictive of non-sentinel lymph node negativity in our study. New studies should evaluate if it would be useful to add p53 expression to other existing predictive tools.This research was funded by theinternal resources of the departments involved (Breast Functional Unit, Obstetrics and Gynecology Department, Nuclear Medicine Department and Pathology Departmen