scholarly journals MicroRNAs as Predictive Biomarkers of Resistance to Targeted Therapies in Gastrointestinal Tumors

Biomedicines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 318
Author(s):  
Valentina Angerilli ◽  
Francesca Galuppini ◽  
Gianluca Businello ◽  
Luca Dal Santo ◽  
Edoardo Savarino ◽  
...  

The advent of precision therapies against specific gene alterations characterizing different neoplasms is revolutionizing the oncology field, opening novel treatment scenarios. However, the onset of resistance mechanisms put in place by the tumor is increasingly emerging, making the use of these drugs ineffective over time. Therefore, the search for indicators that can monitor the development of resistance mechanisms and above all ways to overcome it, is increasingly important. In this scenario, microRNAs are ideal candidate biomarkers, being crucial post-transcriptional regulators of gene expression with a well-known role in mediating mechanisms of drug resistance. Moreover, as microRNAs are stable molecules, easily detectable in tissues and biofluids, they are the ideal candidate biomarker to identify patients with primary resistance to a specific targeted therapy and those who have developed acquired resistance. The aim of this review is to summarize the major studies that have investigated the role of microRNAs as mediators of resistance to targeted therapies currently in use in gastro-intestinal neoplasms, namely anti-EGFR, anti-HER2 and anti-VEGF antibodies, small-molecule tyrosine kinase inhibitors and immune checkpoint inhibitors. For every microRNA and microRNA signature analyzed, the putative mechanisms underlying drug resistance were outlined and the potential to be translated in clinical practice was evaluated.

Author(s):  
Antonio Passaro ◽  
Julie Brahmer ◽  
Scott Antonia ◽  
Tony Mok ◽  
Solange Peters

A proportion of patients with lung cancer experience long-term clinical benefit with immune checkpoint inhibitors (ICIs). However, most patients develop disease progression during treatment or after treatment discontinuation. Definitions of immune resistance are heterogeneous according to different clinical and biologic features. Primary resistance and acquired resistance, related to tumor-intrinsic and tumor-extrinsic mechanisms, are identified according to previous response patterns and timing of occurrence. The clinical resistance patterns determine differential clinical approaches. To date, several combination therapies are under development to delay or prevent the occurrence of resistance to ICIs, including the blockade of immune coinhibitory signals, the activation of those with costimulatory functions, the modulation of the tumor microenvironment, and the targeting T-cell priming. Tailoring the specific treatments with distinctive biologic resistance mechanisms would be ideal to improve the design and results of clinical trial. In this review, we reviewed the available evidence on immune resistance mechanisms, clinical definitions, and management of resistance to ICIs in lung cancer. We also reviewed data on novel strategies under investigation in this setting.


2021 ◽  
pp. 109158182199894
Author(s):  
Brian T. Welsh ◽  
Ryan Faucette ◽  
Sanela Bilic ◽  
Constance J. Martin ◽  
Thomas Schürpf ◽  
...  

Checkpoint inhibitors offer a promising immunotherapy strategy for cancer treatment; however, due to primary or acquired resistance, many patients do not achieve lasting clinical responses. Recently, the transforming growth factor-β (TGFβ) signaling pathway has been identified as a potential target to overcome primary resistance, although the nonselective inhibition of multiple TGFβ isoforms has led to dose-limiting cardiotoxicities. SRK-181 is a high-affinity, fully human antibody that selectively binds to latent TGFβ1 and inhibits its activation. To support SRK-181 clinical development, we present here a comprehensive preclinical assessment of its pharmacology, pharmacokinetics, and safety across multiple species. In vitro studies showed that SRK-181 has no effect on human platelet function and does not induce cytokine release in human peripheral blood. Four-week toxicology studies with SRK-181 showed that weekly intravenous administration achieved sustained serum exposure and was well tolerated in rats and monkeys, with no treatment-related adverse findings. The no-observed-adverse-effect levels levels were 200 mg/kg in rats and 300 mg/kg in monkeys, the highest doses tested, and provide a nonclinical safety factor of up to 813-fold (based on Cmax) above the phase 1 starting dose of 80 mg every 3 weeks. In summary, the nonclinical pharmacology, pharmacokinetic, and toxicology data demonstrate that SRK-181 is a selective inhibitor of latent TGFβ1 that does not produce the nonclinical toxicities associated with nonselective TGFβ inhibition. These data support the initiation and safe conduct of a phase 1 trial with SRK-181 in patients with advanced cancer.


2021 ◽  
Vol 9 (2) ◽  
pp. e001945 ◽  
Author(s):  
Jeffrey Sum Lung Wong ◽  
Gerry Gin Wai Kwok ◽  
Vikki Tang ◽  
Bryan Cho Wing Li ◽  
Roland Leung ◽  
...  

BackgroundProgrammed cell death protein 1 (PD-1) pathway blockade with immune checkpoint inhibitors (ICIs) is a standard therapy in advanced hepatocellular carcinoma (HCC) nowadays. No strategies to overcome ICI resistance have been described. We aimed to evaluate the use of ipilimumab and anti-PD-1 ICIs (nivolumab or pembrolizumab) combinations in patients with advanced HCC with progression on prior ICIs.MethodsPatients with advanced HCC with documented tumor progression on prior ICIs and subsequently received ipilimumab with nivolumab/pembrolizumab were analyzed. Objective response rate (ORR), median duration of response (DOR), time-to-progression (TTP), overall survival (OS), and treatment-related adverse events (TRAEs) were assessed.ResultsTwenty-five patients were included. The median age was 62 (range: 51–83). About 68% were of Child-Pugh (CP) Grade A and 48% had primary resistance to prior ICI. At median follow-up of 37.7 months, the ORR was 16% with a median DOR of 11.5 months (range: 2.76–30.3). Three patients achieved complete response. The median TTP was 2.96 months (95% CI: 1.61 to 4.31). Median OS was 10.9 months (95% CI: 3.99 to 17.8) and the 1 year, 2 year and 3 year survival rates were 42.4%, 32.3% and 21.6%, respectively. The ORR was 16.7% in primary resistance group and 15.4% in acquired resistance group (p=1.00). All responders were of CP A and Albumin-Bilirubin (ALBI) Grade 1 or 2. CP and ALBI Grades were significantly associated with OS (p=0.006 and p<0.001, respectively). Overall, 52% of patients experienced TRAEs and 12% experienced Grade 3 or above TRAEs.ConclusionsIpilimumab and nivolumab/pembrolizumab can achieve durable antitumor activity and encouraging survival outcomes with acceptable toxicity in patients with advanced HCC who had prior treatment with ICIs.


2021 ◽  
Vol 22 (12) ◽  
pp. 6290
Author(s):  
Hye-Won Lee

Advanced imaging techniques for diagnosis have increased awareness on the benefits of brain screening, facilitated effective control of extracranial disease, and prolonged life expectancy of metastatic renal cell carcinoma (mRCC) patients. Brain metastasis (BM) in patients with mRCC (RCC-BM) is associated with grave prognoses, a high degree of morbidity, dedicated assessment, and unresponsiveness to conventional systemic therapeutics. The therapeutic landscape of RCC-BM is rapidly changing; however, survival outcomes remain poor despite standard surgery and radiation, highlighting the unmet medical needs and the requisite for advancement in systemic therapies. Immune checkpoint inhibitors (ICIs) are one of the most promising strategies to treat RCC-BM. Understanding the role of brain-specific tumor immune microenvironment (TIME) is important for developing rationale-driven ICI-based combination strategies that circumvent tumor intrinsic and extrinsic factors and complex positive feedback loops associated with resistance to ICIs in RCC-BM via combination with ICIs involving other immunological pathways, anti-antiangiogenic multiple tyrosine kinase inhibitors, and radiotherapy; therefore, novel combination approaches are being developed for synergistic potential against RCC-BM; however, further prospective investigations with longer follow-up periods are required to improve the efficacy and safety of combination treatments and to elucidate dynamic predictive biomarkers depending on the interactions in the brain TIME.


Author(s):  
Revati Sharma ◽  
Elif Kadife ◽  
Mark Myers ◽  
George Kannourakis ◽  
Prashanth Prithviraj ◽  
...  

AbstractVascular endothelial growth factor tyrosine kinase inhibitors (VEGF-TKIs) have been the mainstay of treatment for patients with advanced renal cell carcinoma (RCC). Despite its early promising results in decreasing or delaying the progression of RCC in patients, VEGF-TKIs have provided modest benefits in terms of disease-free progression, as 70% of the patients who initially respond to the treatment later develop drug resistance, with 30% of the patients innately resistant to VEGF-TKIs. In the past decade, several molecular and genetic mechanisms of VEGF-TKI resistance have been reported. One of the mechanisms of VEGF-TKIs is inhibition of the classical angiogenesis pathway. However, recent studies have shown the restoration of an alternative angiogenesis pathway in modulating resistance. Further, in the last 5 years, immune checkpoint inhibitors (ICIs) have revolutionized RCC treatment. Although some patients exhibit potent responses, a non-negligible number of patients are innately resistant or develop resistance within a few months to ICI therapy. Hence, an understanding of the mechanisms of VEGF-TKI and ICI resistance will help in formulating useful knowledge about developing effective treatment strategies for patients with advanced RCC. In this article, we review recent findings on the emerging understanding of RCC pathology, VEGF-TKI and ICI resistance mechanisms, and potential avenues to overcome these resistance mechanisms through rationally designed combination therapies.


Cells ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 260
Author(s):  
Ronay Cetin ◽  
Eva Quandt ◽  
Manuel Kaulich

Drug resistance is a commonly unavoidable consequence of cancer treatment that results in therapy failure and disease relapse. Intrinsic (pre-existing) or acquired resistance mechanisms can be drug-specific or be applicable to multiple drugs, resulting in multidrug resistance. The presence of drug resistance is, however, tightly coupled to changes in cellular homeostasis, which can lead to resistance-coupled vulnerabilities. Unbiased gene perturbations through RNAi and CRISPR technologies are invaluable tools to establish genotype-to-phenotype relationships at the genome scale. Moreover, their application to cancer cell lines can uncover new vulnerabilities that are associated with resistance mechanisms. Here, we discuss targeted and unbiased RNAi and CRISPR efforts in the discovery of drug resistance mechanisms by focusing on first-in-line chemotherapy and their enforced vulnerabilities, and we present a view forward on which measures should be taken to accelerate their clinical translation.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18056-e18056
Author(s):  
Julie Elaine McGrath ◽  
Punita Grover ◽  
Joanne Xiu ◽  
Chadi Nabhan ◽  
Jennifer Hsing Choe ◽  
...  

e18056 Background: Adenoid cystic carcinoma (ACC) is a rare malignancy of glandular tissue with a high rate of local recurrence and metastatic disease. Despite being regarded as an indolent disease, the clinical course of recurrent and metastatic ACC (R/M ACC) is highly variable. Responses to chemotherapy (chemo) are uniformly poor. Several multi-targeted tyrosine-kinase inhibitors (mTKIs), EGFR inhibitors (EGFRi) and other targeted agents have been studied in single-arm early phase trials with response rates ranging from 0-16% and progression free survival ranging from 2.5-17 months. However, there have been no comparative clinical trials and it is not known if one treatment strategy is superior. We undertook this retrospective study to assess the real-world clinical outcomes in patients with adenoid cystic carcinoma using the Caris Life Sciences database. Methods: Real world overall survival (rwOS) for cases of ACC was obtained from insurance claims data and Kaplan-Meier estimates were calculated from the date of collection to the date of last contact. Cases were divided into subgroups based on treatment received – chemo (including platinum agents, taxanes, 5FU, topoisomerase inhibitors, anthracyclines), EGFRi (cetuximab, erlotinib, lapatinib), mTKIs (pazopanib, axitinib, sunitinib, cabozantinib, lenvatinib, sorafenib) and immune checkpoint inhibitors (ICIs) (atezolizumab, ipilimumab, pembrolizumab, nivolumab). Results: 368 patients (pts) were identified with ACC, 16 were locally recurrent and 216 tumors were taken from metastatic sites. 50 pts received chemo, 6 were treated with EGFRi and 15 with mTKIs. Pts who received combination EGFRi and chemo or mTKI and chemo were excluded. The median overall survival (mOS) all patients with metastatic ACC was 2.8 years (yrs). The mOS of pts with R/M ACC was 3 yrs for chemo, 2.9 yrs for EGFRi and 1.5 yrs for mTKIs. There was no significance in mOS between chemo vs mTKIs (HR 0.85, 95% CI 0.3 - 2, p = 0.72) and chemo vs EGFRi (HR = 0.88, 95% CI 0.3 - 2.5, p = 0.78). We further compared the outcomes of those treated with EGFRi (n = 8) with mTKIs (n = 19) in the entire cohort. For most pts, these agents were given as front line therapy. 25% (2/8) of patients had received treatment prior to EGFRi and 20% (4/9) prior to mTKIs (p = 1). There was no significant difference in mOS with HR 0.6 (95% CI 0.16 - 2.6), p = 0.6. We also compared the mOS of patients who received ICIs (n = 22) with those who did not (n = 346) but there was no significant difference (mOS 3.19 vs 3.17 yrs respectively, HR 0.87, 95% CI 0.47- 1.61, p = 0.65). Conclusions: There was no significant difference in the mOS between pts with R/M ACC who were treated with chemo, EGFRi or TKIs and in those who received ICIs compared to those who did not in our limited patient population. This highlights the need for predictive biomarkers for better patient selection with the goal of personalizing treatment strategies for this disease.


2018 ◽  
Vol 11 ◽  
pp. 175628481880807 ◽  
Author(s):  
Aaron C. Tan ◽  
David L. Chan ◽  
Wasek Faisal ◽  
Nick Pavlakis

Metastatic gastric cancer is associated with a poor prognosis and novel treatment options are desperately needed. The development of targeted therapies heralded a new era for the management of metastatic gastric cancer, however results from clinical trials of numerous targeted agents have been mixed. The advent of immune checkpoint inhibitors has yielded similar promise and results from early trials are encouraging. This review provides an overview of the systemic treatment options evaluated in metastatic gastric cancer, with a focus on recent evidence from clinical trials for targeted therapies and immune checkpoint inhibitors. The failure to identify appropriate predictive biomarkers has hampered the success of many targeted therapies in gastric cancer, and a deeper understanding of specific molecular subtypes and genomic alterations may allow for more precision in the application of novel therapies. Identifying appropriate biomarkers for patient selection is essential for future clinical trials, for the most effective use of novel agents and in combination approaches to account for growing complexity of treatment options.


2018 ◽  
Vol 62 (4) ◽  
pp. 583-593 ◽  
Author(s):  
Peter T. Harrison ◽  
Paul H. Huang

Drug resistance remains one of the greatest challenges facing precision oncology today. Despite the vast array of resistance mechanisms that cancer cells employ to subvert the effects of targeted therapy, a deep understanding of cancer signalling networks has led to the development of novel strategies to tackle resistance both in the first-line and salvage therapy settings. In this review, we provide a brief overview of the major classes of resistance mechanisms to targeted therapy, including signalling reprogramming and tumour evolution; our discussion also focuses on the use of different forms of polytherapies (such as inhibitor combinations, multi-target kinase inhibitors and HSP90 inhibitors) as a means of combating resistance. The promise and challenges facing each of these polytherapies are elaborated with a perspective on how to effectively deploy such therapies in patients. We highlight efforts to harness computational approaches to predict effective polytherapies and the emerging view that exceptional responders may hold the key to better understanding drug resistance. This review underscores the importance of polytherapies as an effective means of targeting resistance signalling networks and achieving durable clinical responses in the era of personalised cancer medicine.


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