Investigator

Lara Paracchini

Post-doc · Humanitas University, Cancer Pharmacology

LPLara Paracchini
Papers(2)
Genomic instability a…<scp>TP53</scp> mutat…
Collaborators(10)
Maurizio D’IncalciLuca BeltrameLuca BoccioloneMaria E. LaudaniMaria L. DalessandroPaolo ZolaRiccardo ZadroRobert FruscioSergio MarchiniSilvia Franceschi
Institutions(6)
Humanitas UniversityIRCCS Humanitas Resea…Istituto Di Ricovero …University Of TurinUniversity of Milan B…Centro di Riferimento…

Papers

Genomic instability analysis in DNA from Papanicolaou test provides proof-of-principle early diagnosis of high-grade serous ovarian cancer

Late diagnosis and the lack of screening methods for early detection define high-grade serous ovarian cancer (HGSOC) as the gynecological malignancy with the highest mortality rate. In the work presented here, we investigated a retrospective and multicentric cohort of 250 archival Papanicolaou (Pap) test smears collected during routine gynecological screening. Samples were taken at different time points (from 1 month to 13.5 years before diagnosis) from 113 presymptomatic women who were subsequently diagnosed with HGSOC (pre-HGSOC) and from 77 healthy women. Genome instability was detected through low-pass whole-genome sequencing of DNA derived from Pap test samples in terms of copy number profile abnormality (CPA). CPA values of DNA extracted from Pap test samples from pre-HGSOC women were substantially higher than those in samples from healthy women. Consistently with the longitudinal analysis of clonal pathogenic TP53 mutations, this assay could detect HGSOC presence up to 9 years before diagnosis. This finding confirms the continual shedding of tumor cells from fimbriae toward the endocervical canal, suggesting a new path for the early diagnosis of HGSOC. We integrated the CPA score into the EVA (early ovarian cancer) test, the sensitivity of which was 75% (95% CI, 64.97 to 85.79), the specificity 96% (95% CI, 88.35 to 100.00), and the accuracy 81%. This proof-of-principle study indicates that the early diagnosis of HGSOC is feasible through the analysis of genomic alterations in DNA from endocervical smears.

TP53 mutations and survival in ovarian carcinoma patients receiving first‐line chemotherapy plus bevacizumab: Results of the MITO16A/MaNGO OV‐2 study

AbstractTo date, there are no biomarkers that define a patient subpopulation responsive to bevacizumab (BEV), an effective treatment option for advanced ovarian carcinoma (OC). In the context of the MITO16A/MaNGO OV‐2 trial, a Phase IV study of chemotherapy combined with BEV in first‐line treatment of advanced OC, we evaluated TP53 mutations by next‐generation sequencing and p53 expression by immunohistochemistry (IHC) on 202 and 311 cases, respectively. We further correlated TP53 mutations in terms of type, function, and site, and IHC data with patients' clinicopathological characteristics and survival. TP53 missense mutations of unknown function (named unclassified) represented the majority of variants in our population (44.4%) and were associated with a significantly improved overall survival (OS) both in univariable (hazard ratio [HR] = 0.43, 95% confidence interval [CI] = 0.20–0.92, p = .03) and multivariable analysis (HR = 0.39, 95% CI = 0.18–0.86, p = .02). Concordance between TP53 mutational analysis and IHC was 91%. We observed an HR of 0.70 for OS in patients with p53 IHC overexpression compared to p53 wild‐type, which however did not reach statistical significance (p = .31, 95% CI = 0.36–1.38). Our results indicate that the presence of unclassified TP53 mutations has favorable prognostic significance in patients with OC receiving upfront BEV plus chemotherapy. In particular, unclassified missense TP53 mutations characterize a subpopulation of patients with a significant survival advantage, independently of clinicopathological characteristics. Our findings warrant future investigations to confirm the prognostic impact of TP53 mutations in BEV‐treated OC patients and deserve to be assessed for their potential predictive role in future randomized clinical studies.

40Works
2Papers
20Collaborators

Positions

Post-doc

Humanitas University · Cancer Pharmacology

Post-doc

IRCCS Humanitas Research Hospital · Cancer Pharmacology

Country

IT

Links & IDs
0000-0003-1832-5471

Scopus: 55816202700

Researcher Id: HKE-5636-2023