ArticleInternational journal of cancer2013
Insights into the field carcinogenesis of ovarian cancer based on the nanocytology of endocervical and endometrial epithelial cells.
Article in International journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 31 citations in OpenAlex.
- Early detection of lung cancer using artificial intelligence-enhanced optical nanosensing of chromatin alterations in field carcinogenesis.Scientific reports · 2023Article
- Deep learning classification of cervical dysplasia using depth-resolved angular light scattering profiles.Biomedical optics express · 2021Article
- Article
- Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy.Science advances · 2021Article
- Prospective detection of cervical dysplasia with scanning angle-resolved low coherence interferometry.Biomedical optics express · 2020Article
- Studying nanoscale structural alterations in cancer cells to evaluate ovarian cancer drug treatment, using transmission electron microscopy imaging.Physical biology · 2020Article
- Multimodal interference-based imaging of nanoscale structure and macromolecular motion uncovers UV induced cellular paroxysm.Nature communications · 2019Article
- Methylomic Analysis of Ovarian Cancers Identifies Tumor-Specific Alterations Readily Detectable in Early Precursor Lesions.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018Article
- Correlating colorectal cancer risk with field carcinogenesis progression using partial wave spectroscopic microscopy.Cancer medicine · 2018Article
- Measuring Nanoscale Chromatin Heterogeneity with Partial Wave Spectroscopic Microscopy.Methods in molecular biology (Clifton, N.J.) · 2018Article
- The transformation of the nuclear nanoarchitecture in human field carcinogenesis.Future science OA · 2017Review
- Colocalization of cellular nanostructure using confocal fluorescence and partial wave spectroscopy.Journal of biophotonics · 2017Article
- Review of interferometric spectroscopy of scattered light for the quantification of subdiffractional structure of biomaterials.Journal of biomedical optics · 2017Review
- The Global Relationship between Chromatin Physical Topology, Fractal Structure, and Gene Expression.Scientific reports · 2017Article
- Procedures for risk-stratification of lung cancer using buccal nanocytology.Biomedical optics express · 2016Article
- Automated Cell Selection Using Support Vector Machine for Application to Spectral Nanocytology.BioMed research international · 2016Article
- Nanocytological field carcinogenesis detection to mitigate overdiagnosis of prostate cancer: a proof of concept study.PloS one · 2015Article
- Harnessing novel modalities: field carcinogenesis detection for personalizing prostate cancer management.Future oncology (London, England) · 2015Article
- Buccal microRNA dysregulation in lung field carcinogenesis: gender-specific implications.International journal of oncology · 2014Article
- Network signatures of nuclear and cytoplasmic density alterations in a model of pre and postmetastatic colorectal cancer.Journal of biomedical optics · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Ovarian cancer ranks fifth in cancer fatalities among American women. Although curable at early stages with surgery, most women are diagnosed with symptoms of late-stage metastatic disease. Moreover, none of the current diagnostic techniques are clinically recommended for at-risk women as they preferentially target low-grade tumors (which do not affect longevity) and fail to capture early signatures of more lethal serous tumors which originate in the fimbrae region of the fallopian tubes. Hence, the early detection of ovarian cancer is challenging given the current strategy. Recently, our group has developed a novel optical imaging technique, partial wave spectroscopic (PWS) microscopy, that can quantify the nanoscale macromolecular density fluctuations within biological cells via a biomarker, disorder strength (Ld ). Using the concept of field carcinogenesis, we propose a method of detecting ovarian cancer by PWS assessment of endometrial and endocervical columnar cells. The study includes 26 patients (controls = 15, cancer = 11) for endometrium and 23 (controls = 13, cancer = 10) for endocervix. Our results highlight a significant increase in Ld (% fold-increase > 50%, p-value < 0.05) for columnar epithelial cells obtained from cancer patients compared to controls for both endocervix and endometrium. Overall, the quantification of field carcinogenic events in the endometrium and the novel observation of its extension to the cervix are unique findings in the understanding of ovarian field carcinogenesis. We further show independent validation of the presence of cervical field carcinogenesis with micro-RNA expression data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.