Cell-stiffness and morphological architectural patterns in clinical samples of high grade serous ovarian cancers

Azzalini, Eros; Abdurakhmanova, Nodira; Parisse, Pietro; Bartoletti, Michele; Canzonieri, Vincenzo; Stanta, Giorgio; Casalis, Loredana; Bonin, Serena

doi:10.1016/j.nano.2021.102452

Cited by 10 publications

(9 citation statements)

References 34 publications

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“…Similar results by other authors indicated that ovarian carcinomas containing predominant transitional-like pattern have an excellent response to different chemotherapy regimens, surgical complete response and longer survival [26][27][28]. Architectural pattern have been also recently characterized by means of biomechanical tools showing a higher softness, therefore higher deformability and aggressiveness, for micropapillary and partially for papillary patterns [29].…”

Section: Discussionsupporting

confidence: 69%

Histological patterns and intra-tumor heterogeneity as prognostication tools in high grade serous ovarian cancers

Azzalini

Barbazza

Stanta

et al. 2021

Gynecologic Oncology

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Section: Discussionsupporting

confidence: 69%

Histological patterns and intra-tumor heterogeneity as prognostication tools in high grade serous ovarian cancers

Azzalini

Barbazza

Stanta

et al. 2021

Gynecologic Oncology

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“…Pascale” of Naples. Samples from CRO have already been characterized in two previous studies [ 16 , 17 ].…”

Section: Methodsmentioning

confidence: 99%

“…The hematoxylin and eosin-stained slides of 100 samples together with the respective paraffin blocks were retrieved from the archives of the National Cancer Institute of Aviano (CRO), while 21 samples from the National Cancer Institute "G. Pascale" of Naples. Samples from CRO have already been characterized in two previous studies [16,17].…”

Section: Cases Selectionmentioning

confidence: 99%

AKT Isoforms Interplay in High-Grade Serous Ovarian Cancer Prognosis and Characterization

Azzalini

Tierno

Bartoletti

et al. 2022

Cancers

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High-grade serous ovarian cancer (HGSOC) is among the deadliest gynecological malignancies. The acquired resistance to platinum-based therapies and the intrinsic heterogeneity of the disease contribute to the low survival rate. To improve patients’ outcomes, new combinatorial approaches able to target different tumor vulnerabilities and enhance the efficacy of the current therapies are required. AKT inhibitors are promising antineoplastic agents able to act in synergy with PARP inhibitors, but the spectrum of patients who can benefit from this combination is unclear, since the role of the three different isoforms of AKT is still unknown. Here, we study the expression of AKT isoforms on a retrospective cohort of archive tissue by RT-droplet digital PCR (ddPCR) analyzing their association with the clinicopathological features of patients. Based on AKT1/AKT2 and AKT1/AKT3 ratios, we define four AKT classes which were related to patients’ survival, tumor morphology and BRCA1 expression. Moreover, our results show that high AKT3 expression levels were frequently associated with tumors having classic features, a low number of mitoses and the presence of psammoma bodies. Overall, our study obtains new insights on AKT isoforms and their associations with the clinicopathological features of HGSOC patients. These evidences could help to better define the subsets of patients who can benefit from AKT and PARP inhibitors therapy in future clinical trials.

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“…Up to now, few studies have focused on the analysis of formalin-fixed paraffin-embedded (FFPE) cancer tissues using AFM [ 45 ], and in particular, to use the extracted information to improve diagnosis and prognosis reports [ 46 ]. In the present work, M and NM histological cross-sections of CRC tissues were prepared, and their assessment (FFPE sections) was performed by optical microscope.…”

Section: Introductionmentioning

confidence: 99%

Universal Markers Unveil Metastatic Cancerous Cross-Sections at Nanoscale

Bakalis

Ferraro

Gavriil

et al. 2022

Cancers

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The characterization of cancer histological sections as metastatic, M, or not-metastatic, NM, at the cellular size level is important for early diagnosis and treatment. We present timely warning markers of metastasis, not identified by existing protocols and used methods. Digitized atomic force microscopy images of human histological cross-sections of M and NM colorectal cancer cells were analyzed by multifractal detrended fluctuation analysis and the generalized moments method analysis. Findings emphasize the multifractal character of all samples and accentuate room for the differentiation of M from NM cross-sections. Two universal markers emphatically achieve this goal performing very well: (a) the ratio of the singularity parameters (left/right), which are defined relative to weak/strong fluctuations in the multifractal spectrum, is always greater than 0.8 for NM tissues; and (b) the index of multifractality, used to classify universal multifractals, points to log-normal distribution for NM and to log-Cauchy for M tissues. An immediate large-scale screening of cancerous sections is doable based on these findings.

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Cell-stiffness and morphological architectural patterns in clinical samples of high grade serous ovarian cancers

Cited by 10 publications

References 34 publications

Histological patterns and intra-tumor heterogeneity as prognostication tools in high grade serous ovarian cancers

Histological patterns and intra-tumor heterogeneity as prognostication tools in high grade serous ovarian cancers

AKT Isoforms Interplay in High-Grade Serous Ovarian Cancer Prognosis and Characterization

Universal Markers Unveil Metastatic Cancerous Cross-Sections at Nanoscale

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