CSDE1 Intracellular Distribution as a Biomarker of Melanoma Prognosis

RNA-binding proteins are emerging as critical modulators of oncogenic cell transformation, malignancy and therapy resistance. We have previously found that the RNA-binding protein Cold Shock Domain containing protein E1 (CSDE1) promotes invasion and metastasis of melanoma, the deadliest form of skin cancer and also a highly heterogeneous disease in need of predictive biomarkers and druggable targets. Here, we design a monoclonal antibody useful for IHC in the clinical setting and use it to evaluate the prognosis potential of CSDE1 in an exploratory cohort of 149 whole tissue sections including benign nevi and primary tumors and metastasis from melanoma patients. Contrary to expectations for an oncoprotein, we observed a global decrease in CSDE1 levels with increasing malignancy. However, the CSDE1 cytoplasmic/nuclear ratio exhibited a positive correlation with adverse clinical features of primary tumors and emerged as a robust indicator of progression free survival in cutaneous melanoma, highlighting the potential of CSDE1 as a biomarker of prognosis. Our findings provide a novel feature for prognosis assessment and highlight the intricacies of RNA-binding protein dynamics in cancer progression.

Unexpected Durable Complete Response With Anti-PD-L1 Blockade in Metastatic Undifferentiated Pleomorphic Sarcoma: A Case Report With Host and Tumor Biomarker Analysis

We extensively characterized a metastatic UPS with a 71-month lasting complete response to immunotherapy.

Data mining identifies novel RNA-binding proteins involved in colon and rectal carcinomas

Colorectal adenocarcinoma (COREAD) is the second most deadly cancer and third most frequently encountered malignancy worldwide. Despite efforts in molecular subtyping and subsequent personalized COREAD treatments, multidisciplinary evidence suggests separating COREAD into colon cancer (COAD) and rectal cancer (READ). This new perspective could improve diagnosis and treatment of both carcinomas. RNA-binding proteins (RBPs), as critical regulators of every hallmark of cancer, could fulfill the need to identify sensitive biomarkers for COAD and READ separately. To detect new RBPs involved in COAD and READ progression, here we used a multidata integration strategy to prioritize tumorigenic RBPs. We analyzed and integrated 1) RBPs genomic and transcriptomic alterations from 488 COAD and 155 READ patients, 2) ∼ 10,000 raw associations between RBPs and cancer genes, 3) ∼ 15,000 immunostainings, and 4) loss-of-function screens performed in 102 COREAD cell lines. Thus, we unraveled new putative roles of NOP56, RBM12, NAT10, FKBP1A, EMG1, and CSE1L in COAD and READ progression. Interestingly, FKBP1A and EMG1 have never been related with any of these carcinomas but presented tumorigenic features in other cancer types. Subsequent survival analyses highlighted the clinical relevance of FKBP1A, NOP56, and NAT10 mRNA expression to predict poor prognosis in COREAD and COAD patients. Further research should be performed to validate their clinical potential and to elucidate their molecular mechanisms underlying these malignancies.

Melanoma RBPome identification reveals PDIA6 as an unconventional RNA-binding protein involved in metastasis

RNA-binding proteins (RBPs) have been relatively overlooked in cancer research despite their contribution to virtually every cancer hallmark. Here, we use RNA interactome capture (RIC) to characterize the melanoma RBPome and uncover novel RBPs involved in melanoma progression. Comparison of RIC profiles of a non-tumoral versus a metastatic cell line revealed prevalent changes in RNA-binding capacities that were not associated with changes in RBP levels. Extensive functional validation of a selected group of 24 RBPs using five different in vitro assays unveiled unanticipated roles of RBPs in melanoma malignancy. As proof-of-principle we focused on PDIA6, an ER-lumen chaperone that displayed a novel RNA-binding activity. We show that PDIA6 is involved in metastatic progression, map its RNA-binding domain, and find that RNA binding is required for PDIA6 tumorigenic properties. These results exemplify how RIC technologies can be harnessed to uncover novel vulnerabilities of cancer cells.

Circulating tumor DNA profile in pancreatic ductal adenocarcinoma (PDAC) and potential targeted therapy

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Background: Despite huge efforts patients (pts) with advanced PDAC, still have a dismal long-term prognosis. The lack of available good-quality tissue samples for next generation sequencing (NGS) prevents from finding actionable alterations that could guide personalized treatments. Circulating tumor DNA (ctDNA) provides a non-invasive method for obtaining molecular information with therapeutic potential. Here, we present prospective data of ctDNA sequencing in pts with PDAC. Methods: We collected a single blood sample from advanced PDAC pts at any line of treatment (Tx) and at least 10 days apart from their last therapy. The samples were analyzed by Guardant360 plasma-based NGS, a standardized assay which covers microsatellite instability [MSI] evaluation and analysis of all four types of somatic alterations in 74 genes. Alterations were reported either as pathogenic or non-pathogenic. We classified each gene alteration according to the different OncoKB therapeutic levels of evidence [LE]. Additionally, we gathered the dates of both blood collection and molecular report. In case the molecular report showed no tumor-related alterations, it was interpreted as either absence of detectable mutations or low ctDNA levels, which would translate low disease burden or pts responding to therapy. Demographic and clinical data have been accessed from the medical records. Results: From 08/2019 to 09/2021 we collected blood samples from 94 PDAC pts. 56% of them were male and 53% were >65 years old. At the time of sample collection, nearly all pts were metastatic (98%). Regarding previous lines of Tx, 57% pts were Tx naïve; 10% were receiving active systemic Tx and 33% had experienced disease progression. Molecular reports were available in an average of 9.1 days. A total of 243 gene alterations were detected, having 94% of pts at least 1 genomic alteration, which was pathogenic in 69% of the cases (see Table). There were no pathogenic alterations ranked as OncoKB LE 1-2 ( MSI or NTRK). Seventy alterations (30%) were ranked as OncoKB LE 3A and 4 ( ARID1A, BRAC2, CDKN2A, KRAS). Three of these pts were treated with PARP inhibitors due to the presence of BRCA2 mutations. No ctDNA was detected in 15 pts (16%), despite being the sample collected >10 days from receiving their last Tx. Of these, 11 had low tumor burden (only peritoneal or lung metastases) and 4 had documented response to the Tx by the time the samples were collected. Conclusions: Real-time and prospective genomic profiling of pts with advanced PDAC using ctDNA is feasible and conveniently fast, which would allow its role in identifying and developing therapeutic targets for approved Tx or clinical trial treatments. [Table: see text]

Integrated In Silico Analyses Identify PUF60 and SF3A3 as New Spliceosome-Related Breast Cancer RNA-Binding Proteins

More women are diagnosed with breast cancer (BC) than any other type of cancer. Although large-scale efforts have completely redefined cancer, a cure remains unattainable. In that respect, new molecular functions of the cell should be investigated, such as post-transcriptional regulation. RNA-binding proteins (RBPs) are emerging as critical post-transcriptional modulators of tumorigenesis, but only a few have clear roles in BC. To recognize new putative breast cancer RNA-binding proteins, we performed integrated in silico analyses of all human RBPs (n = 1392) in three major cancer databases and identified five putative BC RBPs (PUF60, TFRC, KPNB1, NSF, and SF3A3), which showed robust oncogenic features related to their genomic alterations, immunohistochemical changes, high interconnectivity with cancer driver genes (CDGs), and tumor vulnerabilities. Interestingly, some of these RBPs have never been studied in BC, but their oncogenic functions have been described in other cancer types. Subsequent analyses revealed PUF60 and SF3A3 as central elements of a spliceosome-related cluster involving RBPs and CDGs. Further research should focus on the mechanisms by which these proteins could promote breast tumorigenesis, with the potential to reveal new therapeutic pathways along with novel drug-development strategies.

Genetic profiling across multiple cancer types using molecular prescreening comprehensive gene panels offered by clinical trials (CT)

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Background: Genetic profiling (GP) is essential not only for understanding tumor biology but also helps to identify potential genes for targeted therapies. At the same time, selected CT provide an individual genomic profile panel during the pre-screening phase. Here, we demonstrate our experience using these panels. Methods: We selected 14 CT from our Early Drug Development Clinical Trial Unit at Hospital Clinic of Barcelona that included analysis of gene panels in tumor (Foundation One, ArcherDX, Therascreen and Sophia Genetics) or plasma (Resolution Bioscience ctDx). These panels analyzed mutations, fusions, amplifications, microsatellite instability (MSI) and tumor mutational burden (TMB), among others. We collected information about types of cancers, molecular alterations and therapies chosen according to the results of GP. The platform OncoKB (Chakravarty JCO PO, 2017) was used to define genes with potential target therapies and levels of evidence (LE) for those targets (from LE 1 –FDA-recognized biomarker predictive of response to an FDA-approved drug- to LE 4 –Compelling biological evidence supports the biomarker as being predictive of response to a drug). Descriptive statistics were used. Results: From March 2017 to January 2021 we analyzed samples from 410 patients (pts) with CNS (19.3%), urothelial (18.3%), prostate (17.6%), breast (15.4%), ovarian (9.3%), esophageal and gastric (5.4%), colorectal (4.4%), pancreas (2.7%), endometrial (2.4%), cholangiocarcinoma (1.2%), cervix (1%), HNSCC (1%), renal (1%), lung (0.5%), liver (0.2%) fallopian tube (0.2%) and paraganglioma (0.2%). 352 pts (85.8%) had at least 1 genetic alteration. The most frequently altered genes were TP53 (153 pts, 46.2%), INSR (19 pts, 22.8%), TERT (76 pts, 22%), CDKN2A (65 pts, 19.9%), FAM175A (11 pts, 19.3%), CDKN2B (54 pts, 18.1%), MLL2 (53 pts, 17.7%), PTEN (52 pts, 16%), MTAP (45 pts, 15.7%), PIK3CA (52 pts, 15%) and ATM (55 pts, 14.4%). TMB ranged from 0 to 76.9 mut/Mb (median 2.5 mut/Mb). MSI was found in 3 pts (1.5%). 196 pts (47.1%) had an OncoKB LE 1 alteration, 105 pts (25.6%) if we restrict the options to their specific cancer type. 16 pts (3.9%) received a matched therapy: 6 pts received an off-label drug, 6 pts were included in the same CT for which the pre-screening was performed and 4 pts were included in a different CT. Additionally, 13 pts (3.2%) received a matched therapy either with OncoKB LE 4 (5 pts received an off-label drug and 3 were included in a different CT) or not included in OncoKB (8 pts included in the same CT of the pre-screening). As a whole, 29 pts (7.1%) received a matched drug according to their genomic results. Conclusions: Comprehensive gene panel testing offered through CT allows the identification of targets to enroll pts, although the recruitment was 1.5%. However, 7.1% of the pts received a matched therapy due to the molecular information of these gene panels.

Cold-inducible RNA binding protein promotes breast cancer cell malignancy by regulating Cystatin C levels

Cold-inducible RNA binding protein (CIRBP) is a stress-responsive protein that promotes cancer development and inflammation. Critical to most CIRBP functions is its capacity to bind and posttranscriptionally modulate mRNA. However, a transcriptome-wide analysis of CIRBP mRNA targets in cancer has not yet been performed. Here, we use an ex vivo breast cancer model to identify CIRBP targets and mechanisms. We find that CIRBP transcript levels correlate with breast cancer subtype and are an indicator of luminal A/B prognosis. Accordingly, overexpression of CIRBP in nontumoral MCF-10A cells promotes cell growth and clonogenicity, while depletion of CIRBP from luminal A MCF-7 cells has opposite effects. We use RNA immunoprecipitation followed by high-throughput sequencing (RIP-seq) to identify a set of 204 high confident CIRBP targets in MCF-7 cells. About 10% of these showed complementary changes after CIRBP manipulation in MCF-10A and MCF-7 cells, and were highly interconnected with known breast cancer genes. To test the potential of CIRBP-mediated regulation of these targets in breast cancer development, we focused on Cystatin C (CST3), one of the most highly interconnected genes, encoding a protein that displays tumor suppressive capacities. CST3 depletion restored the effects of CIRBP depletion in MCF-7 cells, indicating that CIRBP functions, at least in part, by down-regulating CST3 levels. Our data provide a resource of CIRBP targets in breast cancer, and identify CST3 as a novel downstream mediator of CIRBP function.

Taxane-induced Attenuation of the CXCR2/BCL-2 Axis Sensitizes Prostate Cancer to Platinum-based Treatment

BACKGROUND

Taxanes are the most active chemotherapy agents in metastatic castration-resistant prostate cancer (mCRPC) patients; yet, resistance occurs almost invariably, representing an important clinical challenge. Taxane-platinum combinations have shown clinical benefit in a subset of patients, but the mechanistic basis and biomarkers remain elusive.

OBJECTIVE

To identify mechanisms and response indicators for the antitumor efficacy of taxane-platinum combinations in mCRPC.

DESIGN, SETTING, AND PARTICIPANTS

Transcriptomic data from a publicly available mCRPC dataset of taxane-exposed and taxane-naïve patients were analyzed to identify response indicators and emerging vulnerabilities. Functional and preclinical validation was performed in taxane-resistant mCRPC cell lines and genetically engineered mouse models (GEMMs).

INTERVENTION

Metastatic CRPC cells were treated with docetaxel, cisplatin, carboplatin, the CXCR2 antagonist SB265610, and the BCL-2 inhibitor venetoclax. Gain and loss of function in culture of CXCR2 and BCL-2 were achieved by overexpression or siRNA silencing. Preclinical assays in GEMM mice tested the antitumor efficacy of taxane-platinum combinations.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

Proliferation, apoptosis, and colony assays measured drug activity in vitro. Preclinical endpoints in mice included growth, survival, and histopathology. Changes in CXCR2, BCL-2, and chemokines were analyzed by reverse transcriptase quantitative polymerase chain reaction and Western blot. Human expression data were analyzed using Gene Set Enrichment Analysis, hierarchical clustering, and correlation studies. GraphPad Prism software and R-studio were used for statistical and data analyses.

RESULTS AND LIMITATIONS

Transcriptomic data from taxane-exposed human mCRPC tumors correlate with a marked negative enrichment of apoptosis and inflammatory response pathways accompanied by a marked downregulation of CXCR2 and BCL-2. Mechanistically, we show that docetaxel inhibits CXCR2 and that BCL-2 downregulation occurs as a downstream effect. Further, we demonstrated in experimental models that the sensitivity to cisplatin is dependent on CXCR2 and BCL-2, and that targeting them sensitizes prostate cancer (PC) cells to cisplatin. In vivo taxane-platinum combinations are highly synergistic, and previous exposure to taxanes sensitizes mCRPC tumors to second-line cisplatin treatment.

CONCLUSIONS

The hitherto unappreciated attenuation of the CXCR2/BCL-2 axis in taxane-treated mCRPC patients is an acquired vulnerability with potential predictive activity for platinum-based treatments.

PATIENT SUMMARY

A subset of patients with aggressive and therapy-resistant prostate cancer benefits from taxane-platinum combination chemotherapy; however, we lack the mechanistic understanding of how that synergistic effect occurs. Here, using patient data and preclinical models, we found that taxanes reduce cancer cell escape mechanisms to chemotherapy-induced cell death, hence making these cells more vulnerable to additional platinum treatment.

A quick guide for using Microsoft OneNote as an electronic laboratory notebook

Scientific data recording and reporting systems are of a great interest for endorsing reproducibility and transparency practices among the scientific community. Current research generates large datasets that can no longer be documented using paper lab notebooks (PLNs). In this regard, electronic laboratory notebooks (ELNs) could be a promising solution to replace PLNs and promote scientific reproducibility and transparency. We previously analyzed five ELNs and performed two survey-based studies to implement an ELN in a biomedical research institute. Among the ELNs tested, we found that Microsoft OneNote presents numerous features related to ELN best functionalities. In addition, both surveyed groups preferred OneNote over a scientifically designed ELN (PerkinElmer Elements). However, OneNote remains a general note-taking application and has not been designed for scientific purposes. We therefore provide a quick guide to adapt OneNote to an ELN workflow that can also be adjusted to other nonscientific ELNs.

Analysis of Racial/Ethnic Representation in Select Basic and Applied Cancer Research Studies

Over the past decades, consistent studies have shown that race/ethnicity have a great impact on cancer incidence, survival, drug response, molecular pathways and epigenetics. Despite the influence of race/ethnicity in cancer outcomes and its impact in health care quality, a comprehensive understanding of racial/ethnic inclusion in oncological research has never been addressed. We therefore explored the racial/ethnic composition of samples/individuals included in fundamental (patient-derived oncological models, biobanks and genomics) and applied cancer research studies (clinical trials). Regarding patient-derived oncological models (n = 794), 48.3% have no records on their donor's race/ethnicity, the rest were isolated from White (37.5%), Asian (10%), African American (3.8%) and Hispanic (0.4%) donors. Biobanks (n = 8,293) hold specimens from unknown (24.56%), White (59.03%), African American (11.05%), Asian (4.12%) and other individuals (1.24%). Genomic projects (n = 6,765,447) include samples from unknown (0.6%), White (91.1%), Asian (5.6%), African American (1.7%), Hispanic (0.5%) and other populations (0.5%). Concerning clinical trials (n = 89,212), no racial/ethnic registries were found in 66.95% of participants, and records were mainly obtained from Whites (25.94%), Asians (4.97%), African Americans (1.08%), Hispanics (0.16%) and other minorities (0.9%). Thus, two tendencies were observed across oncological studies: lack of racial/ethnic information and overrepresentation of Caucasian/White samples/individuals. These results clearly indicate a need to diversify oncological studies to other populations along with novel strategies to enhanced race/ethnicity data recording and reporting.

UNR/CDSE1 expression as prognosis biomarker in resectable pancreatic ductal adenocarcinoma patients: A proof-of-concept

Pancreatic ductal adenocarcinoma is an aggressive form of pancreatic cancer and the fourth leading cause of cancer-related death. When possible, curative approaches are based on surgical resection, though not every patient is a candidate for surgery. There are clinical guidelines for the management of these patients that offer different treatment options depending on the clinical and pathologic characteristics. However, the survival rates seen in this kind of patients are still low. The CDSE1 gene is located upstream of NRAS and encodes an RNA-binding protein termed UNR. The aim of this study was to analyze UNR expression and its correlation with outcome in patients with resectable pancreatic ductal adenocarcinoma (PDAC). For this, samples from resectable PDAC patients who underwent duodenopancreatectomy were used to evaluate UNR protein expression by immunohistochemistry using a tissue microarray. Here, we observed that low UNR expression was significantly associated with shorter progression-free survival after surgery (P = 0.010). Moreover, this prognostic marker remained significant after Cox proportional hazards model (P = 0.036). We further studied the role of CDSE1 expression in patient's prognosis using data from public repositories (GEO and TGCA), confirming our results. Interestingly, CDSE1 expression correlated with that of genes characteristic of an immunogenic molecular subtype of pancreatic cancer. Based on these findings, UNR may be considered a potential prognostic biomarker for resectable PDAC and may serve to guide subsequent adjuvant treatment decisions.

Outcome prognostic factors in inoperable malignant bowel obstruction

PURPOSE

Inoperable malignant bowel obstruction (MBO), a severe complication of peritoneal carcinomatosis, has a low desobstruction rate (30-40 %) and end-of-life decision-making is hampered by the lack of known prognostic factors. This study aimed to explore prognostic factors for desobstruction in MBO.

METHODS

All patients with inoperable MBO admitted in our large oncology hospital between 2010 and 2013 were treated following a clinical protocol based on antiemetics, steroids and two antisecretories, octreotide, and hyoscine butylbromide. Two prognostic factor analyses using logistic regressions were performed, one based on data from day 1 of admission and the other on data from day 8.

RESULTS

Forty-five patients were included. Frequency of desobstruction was 48.9 %. In the analysis of prognostic factors on day 1, MBO episodes derived from functional physiopathologic mechanisms (vs. mechanic or mixed) were more prone to resolve (p < 0.001 corrected for multiple comparisons). Considering patients alive with persistent obstruction on day 8, a better clinical condition was the variable more associated with desobstruction, but without statistical significance after correction for multiple comparisons.

CONCLUSIONS

A functional physiopathologic mechanism of MBO development may be an early prognostic factor for desobstruction. A high proportion of desobstruction was observed, suggesting that the combination of antisecretories with different mechanism of action warrants further investigation.