Gerardo  Botti

Dr. Gerardo Botti

Pathology Unit-Istituto Nazionale Tumori IRCCS - Fondazione G Pascale, Napoli, Naples, Italy

Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2018 in The Lancet
Verified
Journal Article
Closed access
FPFranck Pagès
Franck Pagès
BMBernhard Mlecnik
Bernhard Mlecnik
FMFlorence Marliot
Florence Marliot
GBGabriela Bindea
Gabriela Bindea
FOFang-Shu Ou
Fang-Shu Ou
JGJerome Galon
Jerome Galon

3 October 2013 in The Journal of Pathology
Verified
Journal Article
Open access
PDF file
JGJerome Galon
Jerome Galon
BMBernhard Mlecnik
Bernhard Mlecnik
GBGabriela Bindea
Gabriela Bindea
HAHelen K Angell
Helen K Angell
ABAnne Berger
Anne Berger
FPFranck Pagès
Franck Pagès
The American Joint Committee on Cancer/Union Internationale Contre le Cancer (AJCC/UICC) TNM staging system provides the most reliable guidelines for the routine prognostication and treatment of colorectal carcinoma. This traditional tumour staging summarizes data on tumour burden (T), the presence of cancer cells in draining and regional lymph nodes (N) and evidence for distant metastases (M). However, it is now recognized that the clinical outcome can vary significantly among patients within the same stage. The current classification provides limited prognostic information and does not predict response to therapy. Multiple ways to classify cancer and to distinguish different subtypes of colorectal cancer have been proposed, including morphology, cell origin, molecular pathways, mutation status and gene expression‐based stratification. These parameters rely on tumour‐cell characteristics. Extensive literature has investigated the host immune response against cancer and demonstrated the prognostic impact of the in situ immune cell infiltrate in tumours. A methodology named ‘Immunoscore’ has been defined to quantify the in situ immune infiltrate. In colorectal cancer, the Immunoscore may add to the significance of the current AJCC/UICC TNM classification, since it has been demonstrated to be a prognostic factor superior to the AJCC/UICC TNM classification. An international consortium has been initiated to validate and promote the Immunoscore in routine clinical settings. The results of this international consortium may result in the implementation of the Immunoscore as a new component for the classification of cancer, designated TNM‐I (TNM‐Immune). © 2013 The Authors. Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.

3 October 2012 in Journal of Translational Medicine
Verified
Journal Article
Open access
PDF file
JGJerome Galon
Jerome Galon
FPFranck Pagès
Franck Pagès
FMFrancesco Marincola
Francesco Marincola
HAHelen K Angell
Helen K Angell
MTMagdalena Thurin
Magdalena Thurin
BFBernard A Fox
Bernard A Fox
Prediction of clinical outcome in cancer is usually achieved by histopathological evaluation of tissue samples obtained during surgical resection of the primary tumor. Traditional tumor staging (AJCC/UICC-TNM classification) summarizes data on tumor burden (T), presence of cancer cells in draining and regional lymph nodes (N) and evidence for metastases (M). However, it is now recognized that clinical outcome can significantly vary among patients within the same stage. The current classification provides limited prognostic information, and does not predict response to therapy. Recent literature has alluded to the importance of the host immune system in controlling tumor progression. Thus, evidence supports the notion to include immunological biomarkers, implemented as a tool for the prediction of prognosis and response to therapy. Accumulating data, collected from large cohorts of human cancers, has demonstrated the impact of immune-classification, which has a prognostic value that may add to the significance of the AJCC/UICC TNM-classification. It is therefore imperative to begin to incorporate the ‘Immunoscore’ into traditional classification, thus providing an essential prognostic and potentially predictive tool. Introduction of this parameter as a biomarker to classify cancers, as part of routine diagnostic and prognostic assessment of tumors, will facilitate clinical decision-making including rational stratification of patient treatment. Equally, the inherent complexity of quantitative immunohistochemistry, in conjunction with protocol variation across laboratories, analysis of different immune cell types, inconsistent region selection criteria, and variable ways to quantify immune infiltration, all underline the urgent requirement to reach assay harmonization. In an effort to promote the Immunoscore in routine clinical settings, an international task force was initiated. This review represents a follow-up of the announcement of this initiative, and of the J Transl Med. editorial from January 2012. Immunophenotyping of tumors may provide crucial novel prognostic information. The results of this international validation may result in the implementation of the Immunoscore as a new component for the classification of cancer, designated TNM-I (TNM-Immune).

10 July 2012 in Journal of Clinical Oncology
Verified
Journal Article
Closed access
MCMaria Colombino
Maria Colombino
MCMariaelena Capone
Mariaelena Capone
ALAmelia Lissia
Amelia Lissia
ACAntonio Cossu
Antonio Cossu
CRCorrado Rubino
Corrado Rubino
Giuseppe PalmieriGiuseppe Palmieri
Giuseppe Palmieri
Purpose: The prevalence of BRAF, NRAS, and p16CDKN2A mutations during melanoma progression remains inconclusive. We investigated the prevalence and distribution of mutations in these genes in different melanoma tissues. Patients and Methods: In all, 291 tumor tissues from 132 patients with melanoma were screened. Paired samples of primary melanomas (n = 102) and synchronous or asynchronous metastases from the same patients (n = 165) were included. Tissue samples underwent mutation analysis (automated DNA sequencing). Secondary lesions included lymph nodes (n = 84), and skin (n = 36), visceral (n = 25), and brain (n = 44) sites. Results: BRAF/NRAS mutations were identified in 58% of primary melanomas (43% BRAF; 15% NRAS); 62% in lymph nodes, 61% subcutaneous, 56% visceral, and 70% in brain sites. Mutations were observed in 63% of metastases (48% BRAF; 15% NRAS), a nonsignificant increase in mutation frequency after progression from primary melanoma. Of the paired samples, lymph nodes (93% consistency) and visceral metastases (96% consistency) presented a highly similar distribution of BRAF/NRAS mutations versus primary melanomas, with a significantly less consistent pattern in brain (80%) and skin metastases (75%). This suggests that independent subclones are generated in some patients. p16CDKN2A mutations were identified in 7% and 14% of primary melanomas and metastases, with a low consistency (31%) between secondary and primary tumor samples. Conclusion: In the era of targeted therapies, assessment of the spectrum and distribution of alterations in molecular targets among patients with melanoma is needed. Our findings about the prevalence of BRAF/NRAS/p16CDKN2A mutations in paired tumor lesions from patients with melanoma may be useful in the management of this disease.

1 June 2008 in The Lancet Oncology
Verified
Journal Article
Closed access
ABArmando Bartolazzi
Armando Bartolazzi
FOFabio Orlandi
Fabio Orlandi
ESEnrico Saggiorato
Enrico Saggiorato
MVMarco Volante
Marco Volante
FAFederico Arecco
Federico Arecco
RBRino Bellocco
Rino Bellocco

3 April 2014 in Cancer Immunology, Immunotherapy
Verified
Journal Article
Closed access
PDF file
ESEster Simeone
Ester Simeone
GGGiusy Gentilcore
Giusy Gentilcore
DGDiana Giannarelli
Diana Giannarelli
AGAntonio M. Grimaldi
Antonio M. Grimaldi
CCCorrado Caraco
Corrado Caraco
PAPaolo A. Ascierto
Paolo A. Ascierto