LB778 Intravenous administration of allogeneic Mesenchymal Stromal Cells as a treatment for patients with severe generalized Recessive Dystrophic Epidermolysis Bullosa
Bibliographic record
Abstract
LB774 Male gender is a significant risk factor for the development of multiple basal cell cancers P Batra, K Kuo, HS Chahal, K Rieger, AE Oro, AS Chang, S Li, J Tang and K SarinDermatology, Stanford University, Redwood City, CA Basal cell carcinoma (BCC) is the most common cancer in the United States. Known risk factors for BCC include age, male sex, fair skin, ultraviolet exposure, and family history. However, little is known about the risk factors for patients with multiple BCCs. We sought to investigate the relationship between the incidence of single and multiple BCCs in males and females. We performed a retrospective cohort study of BCCs biopsied between 2005 and 2015 at Stanford Hospital and Clinics. Clinical reports of BCC biopsies were obtained from electronic medical records and were parsed to obtain information on histologic subtypes, age, gender, and anatomical location. Consistent with previous studies, 60.8% of the BCCs were nodular, 21.2% were superficial, and 15.4% were infiltrative. Of 2407 individuals biopsied, 65.6% (1578 individuals) had a single BCC during this time frame, 29.6% (712 individuals) had 2-5 BCCs, 3.6% (86 individuals) had 6-10 BCCs, 0.83% (20 individuals) had 11-15 BCCs, and 0.46% (11 individuals) had 16 or more BCCs. The male to female ratio was 1.4 for single BCCs, consistent with previous studies. Interestingly, the male to female ratio significantly increased with multiple BCCs: 1.8 in individuals with 2-5 BCCs, 3.8 in individuals with 6-10 BCCs, 5.7 in individuals with 11-15 BCCs and 10.0 in those with 16 or more BCCs. Male gender was associated with a 1.36-fold increase in number of BCCs and a 1.57-fold higher likelihood of multiple BCCs based on a generalized linear model with Poisson and multinomial distributions (p < 0.0001 in both cases). Our results indicate that males are more prone to developing multiple BCCs. LB775 Fertility risk of FDA-approved systemic therapies for melanoma: Call for action for dermatologists S Xu, J Walter, AS Paller, J Choi and T Woodruff 1 Dermatology, Northwestern University, Chicago, IL and 2 Obstetrics and Gynecology, Northwestern University, Chicago, IL Melanoma disproportionately affects the young and represents the most common cancer diagnosed in patients ages 25-29 years, the age group with the highest birth rates in the United States. Oncofertility is a new interdisciplinary field addressing the reproductive needs of cancer patients facing potentially fertility-threatening treatment. Currently, there is limited available evidence for assessing fertility risk of FDA-approved melanoma therapies. We conducted a retrospective review of the FDA package insert, the European Union’s public assessment reports, the product monograph of the Health Products and Food Branch of Health Canada, and previously published reports to grade the fertility risk of FDA-approved systemic treatments for melanoma. The proposed fertility risk category system is analogous to the FDA’s A/B/C/D/X/N pregnancy risk system. For female fertility risk, 58% of the systemic treatments represent a fertility risk (Category C and D), 33% have unknown risk (Category N), and only one therapy, vemurafenib, did not show ovarian toxicity in animal studies (Category B). For males, 50% of the FDA-approved therapies had unknown fertility risk (Category N), 33% represented a fertility risk (Category C and D), and two therapies (17%) did not show testicular toxicity in animal studies (Category B). Among the eight new therapies approved after 2009, preclinical animal studies remain the only source of data on fertility risk. The additive fertility risk for combination therapies (e.g. nivoliumab/ipilimumab, vemurafenib/cobimetinib) is unknown. As cancer survivorship continues to increase, comprehensive care addressing fertility preservation, and long-term endocrine health, has become paramount. Dermatologists have an opportunity to facilitate fertility preservation discussions and referrals, and steward prospective registries with reproductive outcomes following melanoma treatments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".