Primary squamous cell carcinoma of the scrotum: Outcomes from a specialist center.

BACKGROUND: Squamous cell carcinoma (SCC) of the scrotum is a rare and aggressive cancer. There are no established guidelines on the management of scrotal SCC. OBJECTIVE: To analyze the clinical management and outcomes of scrotal SCC. PATIENTS AND METHODS: A retrospective analysis of patients diagnosed with primary scrotal SCC over a 10-year period was performed. The type of surgery, tumor stage and histological subtypes, recurrence rate and metastases, cancer-specific mortality (CSM), and other-cause mortality (OCM) were analyzed. RESULTS: Between 2012 and 2022, a total of 10 men were identified with primary scrotal SCC. The median (interquartile, IQR) age was 65.5 (55-77) years. Wide local excision was performed in 9 patients and 1 patient underwent a total scrotectomy. The pathological T-stage was: pT1, n = 3; pT2, n = 1; pT3, n = 5 (50%); pT4, n = 1. Four patients had pathologically positive inguinal lymph nodes and 2 had distant metastatic disease at presentation. At a median (IQR) follow-up of 10.5 (4-31) months 5 patients died, of which 3 died from scrotal SCC. CONCLUSION: Scrotal SCC is extremely rare in the UK with only 10 primary cases identified in our center over the past 10 years. Surgical resection of the tumor and appropriate inguinal node staging are required due to a high proportion of cases which metastasize to the inguinal lymph nodes. PATIENT SUMMARY: Scrotal cancer is rare. 10 cases were diagnosed over 10 years at a single center. Around half had disease spread to the groin nodes or distant organs at presentation. Surgical resection was required in all patients. At the time of analysis, half of the patients are alive. Due to the rarity and aggressiveness of the cancer, management should be carried out within a specialist center.

Molecular profiling of advanced breast cancer tumors is beneficial in assisting clinical treatment plans.

We used data obtained by Caris Life Sciences, to evaluate the benefits of tailoring treatments for a breast carcinoma cohort by using tumor molecular profiles to inform decisions. Data for 92 breast cancer patients from the commercial Caris Molecular Intelligence database was retrospectively divided into two groups, so that the first always followed treatment recommendations, whereas in the second group all patients received at least one drug after profiling that was predicted to lack benefit. The biomarker and drug associations were based on tests including fluorescent in situ hybridization and DNA sequencing, although immunohistochemistry was the main test used. Patients whose drugs matched those recommended according to their tumor profile had an average overall survival of 667 days, compared to 510 days for patients that did not (P=0.0316). In the matched treatment group, 26% of patients were deceased by the last time of monitoring, whereas this was 41% in the unmatched group (P=0.1257). We therefore confirm the ability of tumor molecular profiling to improve survival of breast cancer patients. Immunohistochemistry biomarkers for the androgen, estrogen and progesterone receptors were found to be prognostic for survival.

Investigating the benefits of molecular profiling of advanced non-small cell lung cancer tumors to guide treatments.

In this study we utilized data on patient responses to guided treatments, and we evaluated their benefit for a non-small cell lung cancer cohort. The recommended therapies used were predicted using tumor molecular profiles that involved a range of biomarkers but primarily used immunohistochemistry markers. A dataset describing 91 lung non-small cell lung cancer patients was retrospectively split into two. The first group's drugs were consistent with a treatment plan whereby all drugs received agreed with their tumor's molecular profile. The second group each received one or more drug that was expected to lack benefit. We found that there was no significant difference in overall survival or mortality between the two groups. Patients whose treatments were predicted to be of benefit survived for an average of 402 days, compared to 382 days for those that did not (P = 0.7934). In the matched treatment group, 48% of patients were deceased by the time monitoring had finished compared to 53% in the unmatched group (P = 0.6094). The immunohistochemistry biomarker for the ERCC1 receptor was found to be a marker that could be used to predict future survival; ERCC1 loss was found to be predictive of poor survival.

The benefit of tumor molecular profiling on predicting treatments for colorectal adenocarcinomas.

We evaluated the benefit of tailoring treatments for a colorectal adenocarcinoma cancer cohort according to tumor molecular profiles, by analyzing data collected on patient responses to treatments that were guided by a tumor profiling technology from Caris Life Sciences. DNA sequencing and immunohistochemistry were the main tests that predictions were based upon, but also fragment analysis, and in situ hybridization. The status of the IHC biomarker for the thymidylate synthase receptor was a good indicator for future survival. Data collected for the clinical treatments of 95 colorectal adenocarcinoma patients was retrospectively divided into two groups: the first group was given drugs that always matched recommended treatments as suggested by the tumor molecular profiling service; the second group received at least one drug after profiling that was predicted to lack benefit. In the matched treatment group, 19% of patients were deceased at the end of monitoring compared to 49% in the unmatched group, indicating a benefit in mortality by tumor molecular profiling colorectal adenocarcinoma patients.

Does molecular profiling of tumors using the Caris molecular intelligence platform improve outcomes for cancer patients?

We evaluated the effect of tailoring treatments based on predictions informed by tumor molecular profiles across a range of cancers, using data from Caris Life Sciences. These included breast carcinoma, colorectal adenocarcinoma, female genital tract malignancy, lung non-small cell lung cancer, neuroendocrine tumors, ovarian surface epithelial carcinomas, and urinary tract cancers. Molecular profiles using mostly immunohistochemistry (IHC) and DNA sequencing for tumors from 841 patients had been previously used to recommend treatments; some physicians followed the suggestions completely while some did not. This information was assessed to find out if the outcome was better for the patients where their received drugs matched recommendations. The IHC biomarker for the progesterone receptor and for the androgen receptor were found to be most prognostic for survival overall. The IHC biomarkers for P-glycoprotein (PGP), tyrosine-protein kinase Met (cMET) and the DNA excision repair protein ERCC1 were also shown to be significant predictors of outcome. Patients whose treatments matched those predicted to be of benefit survived for an average of 512 days, compared to 468 days for those that did not (P = 0.0684). In the matched treatment group, 34% of patients were deceased at the completion of monitoring, whereas this was 47% in the unmatched group (P = 0.0001).

Correction: Assessing tumor molecular profiling to guide treatments for patients with advanced female genital tract malignancy.

[This corrects the article DOI: 10.18632/oncotarget.23675.].

Correction: The benefit of tumor molecular profiling on predicting treatments for colorectal adenocarcinomas.

[This corrects the article DOI: 10.18632/oncotarget.24257.].

Correction: Does molecular profiling of tumors using the Caris molecular intelligence platform improve outcomes for cancer patients?

[This corrects the article DOI: 10.18632/oncotarget.24258.].

Assessing tumor molecular profiling to guide treatments for patients with advanced female genital tract malignancy.

Tumor molecular profiling has enabled selection of targeted therapies in a host of solid tumors. Here we used a retrospective clinical cohort, to evaluate the benefit of tailoring treatments for female genital tract malignancy, using tumor molecular profiles. Clinical outcome data for 112 patients was retrospectively separated into two groups. These either followed a matched treatment plan that incorporated at least one drug recommended according to their tumor profile and none that were expected to have no benefit (64 patients), or was unmatched with suggested treatments and received at least one drug that was anticipated to lack benefit for that tumor (48 patients). In the group of patients whose drugs matched those recommended by molecular profiling of their tumor, their overall survival was 593 days on average, compared to 449 days for patients that did not; removing drugs predicted to have no benefit from treatment regimens received after profiling increased survival by 144 days on average (P = 0.0265). In the matched treatment group, 30% of patients had died by the last time of monitoring, whereas this was 40% in the unmatched group (P = 0.2778). The IHC biomarker for the progesterone receptor was demonstrated to be prognostic for survival.

Management and survival of patients with FIGO high-risk gestational trophoblastic neoplasia: the U.K. experience, 1995-2010.

OBJECTIVE: To present survival rates of high-risk gestational trophoblastic neoplasia (GTN) (FIGO score > 7) patients treated between 1995 and 2010 in the U.K. Death due to GTN is largely confined to patients with high-risk disease. In the U.K. a national system ensures that all patients are treated at only 2 specialist centers: Charing Cross Hospital (CXH) in London and Weston Park Hospital (WPH) in Sheffield. STUDY DESIGN: A total of 196 high-risk patients were identified using the CXH and WPH GTN databases, based on the risk score at the time of presentation. RESULTS: In all, 140 CXH and 56 WPH high-risk patients were treated with EMA/CO (etoposide, methotrexate, actinomycin D alternating with cyclophosphamide and vincristine) and MEA (methotrexate, etoposide, actinomycin D), respectively. The FIGO score at presentation ranged from 6-23. Eight patients (7from WPH and 1 from CXH) who were treated prior to 2002 as high-risk based on their pre-2002 scoring scored a 6 using FIGO 2002. Two (1%) patients died within 4 weeks of starting treatment (early death), 12 (6%) relapsed, and 9 patients subsequently died due to drug resistance. The overall survival was 94%, with a median follow-up of 4.69 years. CONCLUSION: In the context of a national trophoblastic disease service, patients with high-risk GTN have an excellent prognosis with EMA/CO or MEA.

The clinico-pathologic role of microRNAs miR-9 and miR-151-5p in breast cancer metastasis.

BACKGROUND: MicroRNAs (miRNAs) may function as suppressors or promoters of tumor metastasis according to their messenger RNA targets. Previous studies have suggested that miR-9 and miR-151-5p are associated with metastasis in breast cancer and hepatocellular carcinoma, respectively. We aimed to further establish the potential roles of miR-9 and miR-151-5p in tumor invasion and metastasis and investigate their use as biomarkers. METHODS: We used quantitative real-time PCR (qRT-PCR) to measure differences in miR-9 and miR-151-5p expression between primary breast tumors and their lymph-node metastases in 194 paired tumor samples from 97 patients. We also correlated expression levels with histologic data to investigate their utility as biomarkers. RESULTS: There were no significant differences in miR-9 expression between the primary tumors and lymph nodes; however, miR-151-5p expression was significantly lower in the lymph-node metastases than in their corresponding tumors (p < 0.05). miR-9 levels were elevated in primary breast tumors from patients diagnosed with higher-grade tumors (p < 0.05); however, no differences were observed in miR-151-5p levels between different grades of tumor. Interestingly, miR-9 levels were elevated in invasive lobular carcinomas (ILC) compared with invasive ductal carcinomas (IDC; p < 0.01). CONCLUSIONS: In aggregate, these data suggest that miR-151-5p upregulation may suppress metastasis in primary breast tumors. Both miRNAs may serve as useful biomarkers in future clinical trials in breast cancer.