Search

The use of anti-cancer chemotherapy often leads to the rise of multidrug-resistant (MDR) tumors. We have previously reported the overexpression of a 40 kDa protein (P-40) in several MDR tumor cell lines. In this report we describe the cloning of a 1.4 kb cDNA with an open reading frame of 344 amino acids that encodes the P-40 protein. Analysis of the P-40 amino acid sequence showed it is identical to the human annexin I (Anx-I) protein. The identity of the isolated P-40 cDNA as Anx-I was confirmed by the specific binding of IPM96 mAb to a 40 kDa protein following the in vitro expression of P-40 full-length cDNA. Northern blot analysis of total RNA from drug-sensitive and -resistant cells revealed an increase in P-40 (or Anx-I) mRNA in drug-resistant cells relative to drug-sensitive cells. Transfection of Anx-I cDNA into drug-sensitive MCF-7 cells was carried out without further drug selection and showed 2- to 5-fold increase in resistance of transfected cells to adriamycin, melphalan, and etoposide. Conversely, transfection of reverse Anx-I cDNA into SKOV-3 cells decreased the expression of Anx-I without affecting the expression of other members of the annexin family and showed a 3- to 8-fold increase in sensitivity to these drugs. Of interest was the correlation between the presence of Anx-I and MDR in MDA-MB-231 cells when compared to MCF-7 cells. MDA-MB-231 cells show 3- to 20-fold increase in resistance to adriamycin, melphalan, and etoposide in the absence of detectable levels of P-glycoprotein (P-gp1), the multidrug resistance protein (MRP1) or the breast cancer resistance protein (BCRP). Taken together, these results provide the first direct evidence for the role of Anx-I in MDR of tumor cells. [Copyright &y& Elsevier]

Objective: To describe the use of artificial intelligence (AI) in medical literature and trial data extraction, and its applications in uro‐oncology. This bridging review, which consolidates information from the diverse applications of AI, highlights how AI users can investigate more sophisticated queries than with traditional methods, leading to synthesis of raw data and complex outputs into more actionable and personalised results, particularly in the field of uro‐oncology. Methods: Literature and clinical trial searches were performed in PubMed, Dimensions, Embase and Google (1999–2020). The searches focussed on the use of AI and its various forms to facilitate literature searches, clinical guidelines development, and clinical trial data extraction in uro‐oncology. To illustrate how AI can be applied to address questions about optimising therapeutic decision making and individualising treatment regimens, the Dimensions‐linked information platform was searched for 'prostate cancer' keywords (76 publications were identified; 48 were included). Results: AI offers the promise of transforming raw data and complex outputs into actionable insights. Literature and clinical trial searches can be automated, enabling clinicians to develop and analyse publications expeditiously on complex issues such as therapeutic sequencing and to obtain updates on documents that evolve at the pace and scope of the landscape. An AI‐based platform inclusive of 12 trial databases and >100 scientific literature sources enabled the creation of an interactive visualisation. Conclusion: As the literature and clinical trial landscape continues to grow in complexity and with increasing speed, the ability to pull the right information at the right time from different search engines and resources, while excluding social media bias, becomes more challenging. This review demonstrates that by applying natural language processing and machine learning algorithms, validated and optimised AI leads to a speedier, more personalised, efficient, and focussed search compared with traditional methods. [ABSTRACT FROM AUTHOR]

Background: Limited real‐world data exist on treatment patterns and outcomes in patients with metastatic castration‐sensitive prostate cancer (mCSPC). Methods: A retrospective cohort study was conducted, using the Veterans Health Administration claims database (April 2013–March 2018). Among 369,734 prostate cancer patients, we selected all men who developed metastases within 90 days before or after medical/surgical castration and who received androgen deprivation therapy (ADT). Patients were categorized into four cohorts: ADT‐only (± <90‐day nonsteroidal anti‐androgen [NSAA] use), ADT + NSAA, ADT + docetaxel, and ADT + abiraterone. Main outcomes were treatment patterns, time‐to‐progression to metastatic castration‐resistant disease, and overall survival. Multivariable analysis and sensitivity analysis were conducted. Results: Of 1395 patients, 874 (63%) received ADT‐only, 338 (24%) received ADT + NSAA, 108 (8%) received ADT + docetaxel, and 75 (5%) received ADT + abiraterone. Proportions on ADT‐only and ADT + NSAA declined (from 66% to 60% and from 31% to 17%, respectively) over the study period, while proportions prescribed ADT + docetaxel or abiraterone increased from 3% to 9% and from 1% to 15%, respectively. Patients treated with ADT + NSAA had similar risks of castration‐resistant disease (hazard ratio [HR] 1.05; 95% confidence interval [CI]: 0.87, 1.26) and overall mortality (HR 1.22; 95% CI: 0.97, 1.54) as ADT‐only. Conclusions: Most patients with mCSPC initiating ADT received ADT‐only or ADT + NSAA, despite the emergence of docetaxel and novel hormonal therapies. Even in the most recent period (2017 to early 2018), only 24% of men received intensified therapy with agents known to prolong survival versus ADT‐only. These data in real‐world clinical practice suggest substantial room for improved outcomes in patients with mCSPC. [ABSTRACT FROM AUTHOR]

Background Adjuvant sunitinib significantly improved disease-free survival (DFS) versus placebo in patients with locoregional renal cell carcinoma (RCC) at high risk of recurrence after nephrectomy (hazard ratio [HR] 0.76, 95% confidence interval [CI] 0.59–0.98; p = 0.03). Objective To report the relationship between baseline factors and DFS, pattern of recurrence, and updated overall survival (OS). Design, setting, and participants Data for 615 patients randomized to sunitinib ( n = 309) or placebo ( n = 306) in the S-TRAC trial. Outcome measurements and statistical analysis Subgroup DFS analyses by baseline risk factors were conducted using a Cox proportional hazards model. Baseline risk factors included: modified University of California Los Angeles integrated staging system criteria, age, gender, Eastern Cooperative Oncology Group performance status (ECOG PS), weight, neutrophil-to-lymphocyte ratio (NLR), and Fuhrman grade. Results and limitations Of 615 patients, 97 and 122 in the sunitinib and placebo arms developed metastatic disease, with the most common sites of distant recurrence being lung (40 and 49), lymph node (21 and 26), and liver (11 and 14), respectively. A benefit of adjuvant sunitinib over placebo was observed across subgroups, including: higher risk (T3, no or undetermined nodal involvement, Fuhrman grade ≥2, ECOG PS ≥1, T4 and/or nodal involvement; hazard ratio [HR] 0.74, 95% confidence interval [CI] 0.55–0.99; p = 0.04), NLR ≤3 (HR 0.72, 95% CI 0.54–0.95; p = 0.02), and Fuhrman grade 3/4 (HR 0.73, 95% CI 0.55–0.98; p = 0.04). All subgroup analyses were exploratory, and no adjustments for multiplicity were made. Median OS was not reached in either arm (HR 0.92, 95% CI 0.66–1.28; p = 0.6); 67 and 74 patients died in the sunitinib and placebo arms, respectively. Conclusions A benefit of adjuvant sunitinib over placebo was observed across subgroups. The results are consistent with the primary analysis, which showed a benefit for adjuvant sunitinib in patients at high risk of recurrent RCC after nephrectomy. Patient summary Most subgroups of patients at high risk of recurrent renal cell carcinoma after nephrectomy experienced a clinical benefit with adjuvant sunitinib. Trial registration ClinicalTrials.gov NCT00375674 . [ABSTRACT FROM AUTHOR]

Elevated expression of members of the BCL-2 pro-survival family of proteins can confer resistance to apoptosis in cancer cells. Small molecule obatoclax (GX15-070), which is predicted to occupy a hydrophobic pocket within the BH3 binding groove of BCL-2, antagonizes these members and induces apoptosis, dependent on BAX and BAK. Reconstitution in yeast confirmed that obatoclax acts on the pathway and overcomes BCL-2-, BCL-XL-, BCL-w-, and MCL-1-mediated resistance to BAX or BAK. The compound potently interfered with the direct interaction between MCL-1 and BAK in intact mitochondrial outer membrane and inhibited the association between MCL-1 and BAK in intact cells. MCI-1 has been shown to confer resistance to the BCL-2/BCL-XL/BCL-w-selective antagonist ABT-737 and to the proteasome inhibitor bortezomib. In both cases, this resistance was overcome by obatoclax. These findings support a rational clinical development opportunity for the compound in cancer indications or treatments where MCL-1 contributes to resistance to cell killing. [ABSTRACT FROM AUTHOR]