Chemotherapy of drug-resistant ovarian cancer: a Southwest Oncology Group Study.

1986 ◽  
Vol 4 (9) ◽  
pp. 1374-1379 ◽  
Author(s):  
L R Laufman ◽  
J B Green ◽  
D S Alberts ◽  
R O'Toole ◽  
R D Hilgers ◽  
...  

We present a final analysis, including pathology review, of a cooperative group study of drug-resistant ovarian cancer. Of 200 patients registered, 112 were eligible and evaluable, with a response rate of 26% and median survival of 7 months. Because these results are poorer than those reported in the preliminary and interim analyses of this study, we scrutinized the 88 excluded patients, most of whom failed to meet our strict pathologic criteria for a diagnosis of ovarian cancer of epithelial type, and who, as a heterogeneous group, fared better than patients who did meet the eligibility criteria. We believe this analysis provides insight into the spectrum of diseases that are frequently called ovarian cancer, but might be more properly labeled abdominal carcinomatosis.

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 15070-15070
Author(s):  
M. Mokhlesuddin ◽  
P. S. Akhter ◽  
D. U. Ahmed ◽  
M. A. Khan ◽  
M. A. Rahman ◽  
...  

15070 Background: Docetaxel is an active agent in the treatment of recurrent advanced ovarian cancer. We conducted a multi-center phase II study to evaluate the response rate, toxicity and survival of docetaxel-cisplatin regimen as first-line treatment of advanced ovarian cancer in Bangladeshi population. Methods: Forty chemotherapy-naïve patients of advanced epithelial ovarian cancer were recruited between October 1999 to March 2002. Eligibility criteria included stage Ic-IV patients, age 18–75 years, an ECOG performance status of 0–3 with adequate hepatic, renal and bone marrow function. Docetaxel 60 mg/m2 as 1 hour IV infusion and cisplatin 75 mg/m2 were given on day 1 every 3 weeks for a maximum of 6 cycles (average 5 cycles). Tumor responses and toxicities were evaluated by relevant investigations and survival was documented. Results: A total of 40 patients were enrolled. Median age was 44 years (age range 18–75 years). All the patients were evaluable for response. Overall response was observed in 32 patients (80%) with complete response rate 38% (12 patients), partial response rate 62% (20 patients). Stable disease was seen in 5 patients (12.5%) and progressive disease was in 3 patients (7.5%).Two years survival was documented in 62% patients. Toxicities were limited with grade 3 neutropenia in 10 patients (25%) and some non-hematological toxicities (including nausea, vomiting and fluid retention) in twenty-six patients (65%). No severe febrile neutropenia and no events of death were observed. Conclusions: The combination of docetaxel and cisplatin appears to be effective with manageable toxicities in patients with advanced epithelial ovarian cancer in Bangladeshi population. No significant financial relationships to disclose.


2010 ◽  
Vol 28 (18_suppl) ◽  
pp. LBA5033-LBA5033 ◽  
Author(s):  
S. Pignata ◽  
G. Scambia ◽  
A. Savarese ◽  
R. Sorio ◽  
E. Breda ◽  
...  

LBA5033 Background: CP is standard first-line chemotherapy for AOC. MITO-2 (Multicentre Italian Trials in Ovarian Cancer) is an academic multicenter randomized phase III study, testing whether C-PLD is more effective than CP. Methods: AOC chemo-naïve patients (pts), stage IC-IV, aged≤75, ECOG PS≤2, were randomized to CP (C AUC5 + P 175 mg/m2,d1q3w) or to C-PLD (C AUC5 + PLD 30 mg/m2,d1q3w), both for 6 cycles. Primary endpoint was progression-free survival (PFS). Secondary endpoints were overall survival (OS), response rate, toxicity and quality of life (QoL). To have 80% power in detecting a 0.80 HR in PFS, with 2-sided α error 0.05, 632 events were needed and 820 pts were planned. Response rate and toxicity have been reported at ASCO 2009 (abs #LBA5508). All analyses are based on intention to treat. Results: From Jan ’03 to Nov ’07, 820 pts were randomized, 410 to each arm. Median age was 57 yrs (range 21-77). Stage III (60%) and IV (21%) were prevalent. A plateau in PFS events was reached before obtaining the planned number. Thus, following an IDMC recommendation, the final analysis was done with 556 events occurred as of December 31, 2009. This size is consistent with HR to be detected equal to 0.79, with 80% power. With a median follow-up of 40.2 months, median PFS was 19.0 and 16.8 months with C-PLD and CP, respectively (HR 0.95, 95%CI 0.81-1.13, log-rank p value=0.58). Lack of significant difference was confirmed (HR 0.96, 95%CI 0.81-1.14) at multivariable analysis adjusted by stage, PS, residual disease, age and size of the institution. There was no heterogeneity of treatment effect among major subgroups. With 313 deaths recorded, median OS was 61.6 and 53.2 months with C-PLD and CP, respectively (HR 0.89, 95%CI 0.72-1.12, log-rank p value=0.32). QoL data will be presented at the meeting. Conclusions: In the MITO-2 trial, C-PLD was not found to be superior to CP, which remains the standard first-line chemotherapy for AOC.However, given the observed confidence interval and the different toxicity profile, C-PLD could be considered an alternative to standard therapy. Study was partially supported by Schering-Plough. [Table: see text]


2011 ◽  
Vol 9 (1) ◽  
pp. 115-120 ◽  
Author(s):  
Julian C. Schink ◽  
Larry J. Copeland

In this era of personalized medicine, patients with recurrent ovarian cancer deserve better than the 25% response rate that is associated with drugs selected based on clinical information alone. In the past decade, marked laboratory improvements have enabled chemosensitivity assay testing to yield a 0.70 correlation with response, and to accurately predict progression-free and overall survival. Compelling retrospective data supporting the use of this technology cannot be ignored while waiting for a cooperative group to test whether chemosensitivity assay should be used to direct salvage therapy.


2020 ◽  
Vol 21 ◽  
Author(s):  
Yin-xue Wang ◽  
Yi-xiang Wang ◽  
Yi-ke Li ◽  
Shi-yan Tu ◽  
Yi-qing Wang

: Ovarian cancer (OC) is one of the deadliest gynecological malignancy. Epithelial ovarian cancer (EOC) is its most common form. OC has both a poor prognosis and a high mortality rate due to the difficulties of early diagnosis, the limitation of current treatment and resistance to chemotherapy. Extracellular vesicles is a heterogeneous group of cellderived submicron vesicles which can be detected in body fluids, and it can be classified into three main types including exosomes, micro-vesicles, and apoptotic bodies. Cancer cells can produce more EVs than healthy cells. Moreover, the contents of these EVs have been found distinct from each other. It has been considered that EVs shedding from tumor cells may be implicated in clinical applications. Such as a tool for tumor diagnosis, prognosis and potential treatment of certain cancers. In this review, we provide a brief description of EVs in diagnosis, prognosis, treatment, drug-resistant of OC. Cancer-related EVs show powerful influences on tumors by various biological mechanisms. However, the contents mentioned above remain in the laboratory stage and there is a lack of large-scale clinical trials, and the maturity of the purification and detection methods is a constraint. In addition, amplification of oncogenes on ecDNA is remarkably prevalent in cancer, it may be possible that ecDNA can be encapsulated in EVs and thus detected by us. In summary, much more research on EVs needs to be perform to reveal breakthroughs in OC and to accelerate the process of its application on clinic.


2017 ◽  
Vol 35 (34) ◽  
pp. 3800-3806 ◽  
Author(s):  
Christopher P. Childers ◽  
Kimberly K. Childers ◽  
Melinda Maggard-Gibbons ◽  
James Macinko

Purpose In the United States, 3.8 million women have a history of breast (BC) or ovarian cancer (OC). Up to 15% of cases are attributable to heritable mutations, which, if identified, provide critical knowledge for treatment and preventive care. It is unknown how many patients who are at high risk for these mutations have not been tested and how rates vary by risk criteria. Methods We used pooled cross-sectional data from three Cancer Control Modules (2005, 2010, 2015) of the National Health Interview Survey, a national in-person household interview survey. Eligible patients were adult females with a history of BC and/or OC meeting select 2017 National Comprehensive Cancer Network eligibility criteria on the basis of age of diagnosis and family history. Outcomes included the proportion of individuals reporting a history of discussing genetic testing with a health professional, being advised to undergo genetic testing, or undergoing genetic testing for BC or OC. Results Of 47,218 women, 2.7% had a BC history and 0.4% had an OC history. For BC, 35.6% met one or more select eligibility criteria; of those, 29.0% discussed, 20.2% were advised to undergo, and 15.3% underwent genetic testing. Testing rates for individual eligibility criteria ranged from 6.2% (relative with OC) to 18.2% (diagnosis ≤ 45 years of age). For OC, 15.1% discussed, 13.1% were advised to undergo, and 10.5% underwent testing. Using only four BC eligibility criteria and all patients with OC, an estimated 1.2 to 1.3 million individuals failed to receive testing. Conclusion Fewer than one in five individuals with a history of BC or OC meeting select National Cancer Comprehensive Network criteria have undergone genetic testing. Most have never discussed testing with a health care provider. Large national efforts are warranted to address this unmet need.


Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 726
Author(s):  
Fulvia Ceccarelli ◽  
Venusia Covelli ◽  
Giulio Olivieri ◽  
Francesco Natalucci ◽  
Fabrizio Conti

Background: The COVID-19 pandemic contributes to the burden of living with different diseases, including Systemic Lupus Erythematosus (SLE). We described, from a narrative point of view, the experiences and perspectives of Italian SLE adults during the COVID-19 emergency, by distinguishing the illness experience before and after the lockdown. Methods: Fifteen patients were invited to participate. Illness narratives were collected between 22 and 29 March 2020 using a written modality to capture patients’ perspectives before and after the COVID-19 lockdown. We performed a two-fold analysis of collected data by distinguishing three narrative types and a qualitative analysis of content to identify the relevant themes and sub-themes reported. Results: Eight narratives included in the final analysis (mean length 436.9 words) have been written by eight females (mean age 43.3 ± 9.9 years, mean disease duration 13.1 ± 7.4 years). Six patients provided a quest narrative, one a chaos and the remaining one a restitution narrative. By text content analysis, we identified specific themes, temporally distinct before and after the lockdown. Before COVID-19, all the patients referred to a good control of disease, however the unexpected arrival of the COVID-19 emergency broke a balance, and patients perceived the loss of health status control, with anxiety and stress. Conclusions: We provided unique insight into the experiences of people with SLE at the time of COVID-19, underlining the perspective of patients in relation to the pandemic.


Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4127
Author(s):  
Will Farlessyost ◽  
Kelsey-Ryan Grant ◽  
Sara R. Davis ◽  
David Feil-Seifer ◽  
Emily M. Hand

First impressions make up an integral part of our interactions with other humans by providing an instantaneous judgment of the trustworthiness, dominance and attractiveness of an individual prior to engaging in any other form of interaction. Unfortunately, this can lead to unintentional bias in situations that have serious consequences, whether it be in judicial proceedings, career advancement, or politics. The ability to automatically recognize social traits presents a number of highly useful applications: from minimizing bias in social interactions to providing insight into how our own facial attributes are interpreted by others. However, while first impressions are well-studied in the field of psychology, automated methods for predicting social traits are largely non-existent. In this work, we demonstrate the feasibility of two automated approaches—multi-label classification (MLC) and multi-output regression (MOR)—for first impression recognition from faces. We demonstrate that both approaches are able to predict social traits with better than chance accuracy, but there is still significant room for improvement. We evaluate ethical concerns and detail application areas for future work in this direction.


2020 ◽  
Vol 8 ◽  
pp. 199-214
Author(s):  
Xi (Leslie) Chen ◽  
Sarah Ita Levitan ◽  
Michelle Levine ◽  
Marko Mandic ◽  
Julia Hirschberg

Humans rarely perform better than chance at lie detection. To better understand human perception of deception, we created a game framework, LieCatcher, to collect ratings of perceived deception using a large corpus of deceptive and truthful interviews. We analyzed the acoustic-prosodic and linguistic characteristics of language trusted and mistrusted by raters and compared these to characteristics of actual truthful and deceptive language to understand how perception aligns with reality. With this data we built classifiers to automatically distinguish trusted from mistrusted speech, achieving an F1 of 66.1%. We next evaluated whether the strategies raters said they used to discriminate between truthful and deceptive responses were in fact useful. Our results show that, although several prosodic and lexical features were consistently perceived as trustworthy, they were not reliable cues. Also, the strategies that judges reported using in deception detection were not helpful for the task. Our work sheds light on the nature of trusted language and provides insight into the challenging problem of human deception detection.


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