Transcriptomes of the tumor-adjacent normal tissues are more informative than tumors in predicting recurrence in colorectal cancer patients.

BACKGROUND: Previous investigations of transcriptomic signatures of cancer patient survival and post-therapy relapse have focused on tumor tissue. In contrast, here we show that in colorectal cancer (CRC) transcriptomes derived from normal tissues adjacent to tumors (NATs) are better predictors of relapse. RESULTS: Using the transcriptomes of paired tumor and NAT specimens from 80 Korean CRC patients retrospectively determined to be in recurrence or nonrecurrence states, we found that, when comparing recurrent with nonrecurrent samples, NATs exhibit a greater number of differentially expressed genes (DEGs) than tumors. Training two prognostic elastic net-based machine learning models-NAT-based and tumor-based in our Samsung Medical Center (SMC) cohort, we found that NAT-based model performed better in predicting the survival when the model was applied to the tumor-derived transcriptomes of an independent cohort of 450 COAD patients in TCGA. Furthermore, compositions of tumor-infiltrating immune cells in NATs were found to have better prognostic capability than in tumors. We also confirmed through Cox regression analysis that in both SMC-CRC as well as in TCGA-COAD cohorts, a greater proportion of genes exhibited significant hazard ratio when NAT-derived transcriptome was used compared to when tumor-derived transcriptome was used. CONCLUSIONS: Taken together, our results strongly suggest that NAT-derived transcriptomes and immune cell composition of CRC are better predictors of patient survival and tumor recurrence than the primary tumor.

The role of PDGFRA as a therapeutic target in young colorectal cancer patients.

BACKGROUND: Young patients with colorectal cancer (CRC) exhibit poor prognoses compared to older patients due to the difficulty in early diagnosis and treatment. However, the underlying molecular characteristics are still unclear. METHODS: We conducted a comprehensive analysis of 49 CRC patients without hereditary CRC using the whole-exome and RNA sequencing with tumor and matched normal samples. A total of 594 TCGA samples and 4 patient-derived cells were utilized for validation. RESULTS: Consensus molecular subtype 4 (CMS4) (53.85%) and CMS2 (38.46%) were enriched in the young (≤ 40 years) and old (> 60 years) age groups, respectively. A CMS4-associated gene, platelet-derived growth factor receptor α (PDGFRA), was significantly upregulated in young patients with CRC (FC = 3.21, p = 0.0001) and was negatively correlated with age (p = 0.0001, R = - 0.526). Moreover, PDGFRA showed a positive co-expression with metastasis-related genes in young CRC patients. In vitro validation confirmed that young patient-derived cells (PDCs) showed an enriched expression of PDGFRA compared to old PDCs and a reduced proliferation rate by knockdown of PDGFRA. Furthermore, young CRC patients were more sensitive to regorafenib, a PDGFRA-targeting drug, than old CRC patients. CONCLUSIONS: Our study suggests that CRC in young patients is associated with CMS4 and PDGFRA. In addition, PDGFRA may serve potential of novel therapeutic strategies and represent a predictive biomarker of response to regorafenib for young CRC patients.

Correction: MicroRNA-17-5p regulates EMT by targeting vimentin in colorectal cancer.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

MicroRNA-17-5p regulates EMT by targeting vimentin in colorectal cancer.

BACKGROUND: Epithelial-mesenchymal transition (EMT) is the most common cause of death in colorectal cancer (CRC). In this study, we investigated the functional roles of miRNA-17-5p in EMT of CRC cells. METHODS: In order to determine if miRNA-17-5p regulated EMT, the precursors and inhibitors of miR-17-5p were transduced into four CRC cells. To evaluate the regulatory mechanism, we performed argonaute 2 (Ago2) immunoprecipitation (IP) and luciferase assay. In addition, we used an intra-splenic injection mouse model of BALB/c nude mice to investigate the metastatic potential of miRNA-17-5p in vivo. RESULTS: The miRNA-17-5p expression was lower in primary CRC tissues with metastasis than in primary CRC tissues without metastasis in our RNA sequencing data of patient tissue. Real-time quantitative PCR revealed that miRNA-17-5p was inversely correlated with that of vimentin in five CRC cell lines. Over-expression of miRNA-17-5p decreased vimentin expression and inhibited cell migration and invasion in both LoVo and HT29 cells. However, inhibition of miRNA-17-5p showed the opposite effect. Ago2 IP and luciferase assay revealed that miRNA-17-5p directly bound to the 3'UTR of VIM mRNA. Furthermore, miRNA-17-5p inhibited the metastasis of CRC into liver in vivo. CONCLUSIONS: Our results demonstrated that miRNA-17-5p regulates vimentin expression, thereby regulating metastasis of CRC.

Patterns of somatic alterations between matched primary and metastatic colorectal tumors characterized by whole-genome sequencing.

Colorectal cancer (CRC) patients have poor prognosis after formation of distant metastasis. Understanding the molecular mechanisms by which genetic changes facilitate metastasis is critical for the development of targeted therapeutic strategies aimed at controlling disease progression while minimizing toxic side effects. A comprehensive portrait of somatic alterations in CRC and the changes between primary and metastatic tumors has yet to be developed. We performed whole genome sequencing of two primary CRC tumors and their matched liver metastases. By comparing to matched germline DNA, we catalogued somatic alterations at multiple scales, including single nucleotide variations, small insertions and deletions, copy number aberrations and structural variations in both the primary and matched metastasis. We found that the majority of these somatic alterations are present in both sites. Despite the overall similarity, several de novo alterations in the metastases were predicted to be deleterious, in genes including FBXW7, DCLK1 and FAT2, which might contribute to the initiation and progression of distant metastasis. Through careful examination of the mutation prevalence among tumor cells at each site, we also proposed distinct clonal evolution patterns between primary and metastatic tumors in the two cases. These results suggest that somatic alterations may play an important role in driving the development of colorectal cancer metastasis and present challenges and opportunities when considering the choice of treatment.

Loss of E-Cadherin expression is associated with a poor prognosis in stage III colorectal cancer.

PURPOSE: The epithelial-mesenchymal transition (EMT) is known to be associated with tumor progression, invasion and metastasis in colorectal cancer (CRC). MATERIALS AND METHODS: Tissue samples obtained from 409 patients with stage III CRC treated from 2006 to 2007 were examined by immunohistochemistry to reveal the expression levels of E-cadherin, fibronectin, vimentin and α-smooth muscle actin (SMA). RESULTS: Among the 409 patients, 402 cases (98.3%) showed positive E-cadherin expression. Positive E-cadherin expression was associated with well or moderately differentiated cell types and a stable microsatellite status. In multivariate analysis, a preoperative carcinoembryonic antigen level >5 ng/ml (p = 0.021), advanced N stage (p = 0.017), positive vascular invasion (p = 0.048), positive perineural invasion (p = 0.002) and negative E-cadherin expression (p = 0.002, relative risk = 5.098, 95% CI = 1.801-14.430) were poor prognostic factors affecting disease-free survival. The declining E-cadherin expression was associated with a poor outcome in terms of overall survival in univariate (p = 0.016) but not in multivariate analyses (p = 0.303, relative risk = 1.984, 95% CI = 0.539-7.296). Fibronectin, vimentin and α-SMA were of no prognostic value in this study. CONCLUSION: The expression pattern of EMT markers in stage III CRC suggests that declining E-cadherin expression is a possible immunohistochemical predictor of patient prognosis.

Low expression of transforming growth factor beta-1 in cancer tissue predicts a poor prognosis for patients with stage III rectal cancers.

OBJECTIVE: Transforming growth factor beta (TGF-ß) plays an important role in tumorigenesis and metastasis. It works as a tumor suppressor in the normal colon, but acts as a cancer promoter during the late stages of colorectal carcinogenesis. High expression of TGF-ß is known to be associated with advanced stages, tumor recurrence and decreased survival of patients. We investigated the expression of TGF-ß and its signaling axis molecules and evaluated their prognostic significance in patients with stage III rectal cancers. METHODS: Tissues from 201 cases of stage III rectal cancer were subjected to immunohistochemistry for TGF-ß1, type II TGF-ß receptor, Smad3, Smad4 and Smad7 proteins. The immunoactivities of these molecules were evaluated and the results were compared with clinicopathological variables including patient survival. RESULTS: Low expression of TGF-ß1 protein was correlated with a decreased disease-free survival in univariate Kaplan-Meier (p = 0.003) and multivariate Cox regression (HR 9.188 and 95% CI 1.256-67.198, p = 0.029) analyses. The loss of Smad4 protein expression was associated with a reduction in disease-free survival in the univariate analysis, but this finding was not significant after the multivariate analysis. CONCLUSION: Low expression of TGF-ß1 protein is associated with a poor prognosis for patients with stage III rectal cancers.

Colorectal cancer patient-derived xenografted tumors maintain characteristic features of the original tumors.

BACKGROUND: Despite significant improvements in colon cancer outcomes over the past few decades, preclinical development of more effective therapeutic strategies is still limited by the availability of clinically relevant animal models. To meet those clinical unmet needs, we generated a well-characterized in vivo preclinical platform for colorectal cancer using fresh surgical samples. METHODS: Primary and metastatic colorectal tumor tissues (1-2 mm(3)) that originate from surgery were implanted into the subcutaneous space of nude mice and serially passaged in vivo. Mutation status, hematoxylin and eosin staining, short tandem repeat profiling, and array comparative genomic hybridization were used to validate the similarity of molecular characteristics between the patient tumors and tumors obtained from xenografts. RESULTS: From surgical specimens of 143 patients, 97 xenograft models were obtained in immunodeficient mice (establish rate = 67%). Thirty-nine xenograft models were serially expanded further in mice with a mean time to reach a size of 1000-1500 mm(3) of 90 ± 20 d. Histologic and immunohistochemical analyses revealed a high degree of pathologic similarity including histologic architecture and expression of CEA, CK7, and CD20 between the patient and xenograft tumors. Molecular analysis showed that genetic mutations, genomic alterations, and gene expression patterns of each patient tumor were also well conserved in the corresponding xenograft tumor. CONCLUSIONS: Xenograft animal models derived from fresh surgical sample maintained the key characteristic features of the original tumors, suggesting that this in vivo platform can be useful for preclinical development of novel therapeutic approaches to colorectal cancers.

Improved Drug-Response Prediction Model of APC Mutant Colon Cancer Patient-Derived Organoids for Precision Medicine.

Colorectal cancer is the third most common cancer in the world, with an annual incidence of 2 million cases. The success of first-line chemotherapy plays a crucial role in determining the disease outcome. Therefore, there is an increasing demand for precision medicine to predict drug responses and optimize chemotherapy in order to increase patient survival and reduce the related side effects. Patient-derived organoids have become a popular in vitro screening model for drug-response prediction for precision medicine. However, there is no established correlation between oxaliplatin and drug-response prediction. Here, we suggest that organoid culture conditions can increase resistance to oxaliplatin during drug screening, and we developed a modified medium condition to address this issue. Notably, while previous studies have shown that survivin is a mechanism for drug resistance, our study observed consistent survivin expression irrespective of the culture conditions and oxaliplatin treatment. However, clusterin induced apoptosis inhibition and cell survival, demonstrating a significant correlation with drug resistance. This study's findings are expected to contribute to increasing the accuracy of drug-response prediction in patient-derived APC mutant colorectal cancer organoids, thereby providing reliable precision medicine and improving patient survival rates.

Multi-Inlet Spheroid Generator for High-Throughput Combinatorial Drug Screening Based on the Tumor Microenvironment.

Tumor spheroids are powerful tools for drug screening and understanding tumor physiology. Among spheroid formation methods, the hanging drop method is considered most suitable for high-throughput screening (HTS) of anticancer drugs because it does not require surface treatment. However, it still needs to increase the liquid-holding capacity because hanging drops often fall due to the increased pressure caused by the addition of drugs, cells, etc. Here, we report a multi-inlet spheroid generator (MSG) enabling the stable addition of liquid-containing drugs or cells into a spheroid through its side inlet. The MSG was able to load additional solutions through the side inlet without increasing the force applied to the hanging drop. The volume of the additional liquid was easily controlled by varying the diameter of the side inlet. Furthermore, the sequences of the solution injections were manipulated using multiple side inlets. The feasibility of the MSG in clinical application was demonstrated by testing the efficacy of drugs in patient-derived cancer (PDC) cells and controlling the stromal cell ratio in the tumor microenvironment (TME) containing spheroids. Our results suggest that the MSG is a versatile platform for HTS of anticancer drugs and recapitulating the TME.

Information about immune cell proportions and tumor stage improves the prediction of recurrence in patients with colorectal cancer.

Predicting cancer recurrence is essential to improving the clinical outcomes of patients with colorectal cancer (CRC). Although tumor stage information has been used as a guideline to predict CRC recurrence, patients with the same stage show different clinical outcomes. Therefore, there is a need to develop a method to identify additional features for CRC recurrence prediction. Here, we developed a network-integrated multiomics (NIMO) approach to select appropriate transcriptome signatures for better CRC recurrence prediction by comparing the methylation signatures of immune cells. We validated the performance of the CRC recurrence prediction based on two independent retrospective cohorts of 114 and 110 patients. Moreover, to confirm that the prediction was improved, we used both NIMO-based immune cell proportions and TNM (tumor, node, metastasis) stage data. This work demonstrates the importance of (1) using both immune cell composition and TNM stage data and (2) identifying robust immune cell marker genes to improve CRC recurrence prediction.

Deconvolution of bulk tumors into distinct immune cell states predicts colorectal cancer recurrence.

Predicting colorectal cancer recurrence after tumor resection is crucial because it promotes the administration of proper subsequent treatment or management to improve the clinical outcomes of patients. Several clinical or molecular factors, including tumor stage, metastasis, and microsatellite instability status, have been used to assess the risk of recurrence, although their predictive ability is limited. Here, we predicted colorectal cancer recurrence based on cellular deconvolution of bulk tumors into two distinct immune cell states: cancer-associated (tumor-infiltrating immune cell-like) and noncancer-associated (peripheral blood mononuclear cell-like). Prediction model performed significantly better when immune cells were deconvoluted into two states rather than a single state, suggesting that the difference in cancer recurrence was better explained by distinct states of immune cells. It indicates the importance of distinguishing immune cell states using cellular deconvolution to improve the prediction of colorectal cancer recurrence.

Expression of SLC22A18 regulates oxaliplatin resistance by modulating the ERK pathway in colorectal cancer.

Although oxaliplatin-based chemotherapy is the current standard adjuvant therapy for colorectal cancer (CRC), the molecular mechanisms underlying oxaliplatin resistance remain unclear. Here, we examined the molecular mechanisms underlying SLC22A18-associated oxaliplatin resistance and strategies for overcoming oxaliplatin resistance. We evaluated the association between SLC22A18 and prognosis in 337 patients with CRC and its functional significance and studied the mechanisms through which SLC22A18 affects oxaliplatin resistance development in CRC cells, using CRC cell lines and patient-derived cells (PDCs). SLC22A18 downregulation was positively correlated with worse survival in patients with CRC. Low SLC22A18-expressing cells showed relatively lower sensitivity to oxaliplatin than high SLC22A18-expressing cells. In addition, ERK activation was found to be involved in the mechanisms underlying SLC22A18-related oxaliplatin resistance. To confirm ERK pathway dependence, we used an ERK inhibitor and found that combined treatment with oxaliplatin and the ERK inhibitor overcame oxaliplatin resistance in the low SLC22A18-expressing cells. Ex vivo approaches using PDC confirmed the correlation between SLC22A18 expression and oxaliplatin resistance. Results of the in vivo study showed that SLC22A18 expression regulated oxaliplatin efficacy, and that combined treatment with an ERK inhibitor could be a useful therapeutic strategy when SLC22A18 is downregulated. Together, our findings indicate that SLC22A18 could serve as a biomarker for the prediction of oxaliplatin resistance. In cases of oxaliplatin resistance due to low SLC22A18 expression, resistance can be overcome by combined treatment with an ERK inhibitor.

Establishment of patient-derived organotypic tumor spheroid models for tumor microenvironment modeling.

Patient-derived cancer models that reconstitute the characteristics of the tumor microenvironment may facilitate efforts in precision immune-oncology and the discovery of effective anticancer therapies. Organoids that have recently emerged as robust preclinical models typically contain tumor epithelial cells and lack the native tumor immune microenvironment. A patient-derived organotypic tumor spheroid (PDOTS) is a novel and innovative ex vivo system that retains key features of the native tumor immune microenvironment. Here, we established and characterized a series of colorectal cancer PDOTS models for use as a preclinical platform for testing effective immunotherapy and its combinations with other drugs. Partially dissociated (> 100 µm in diameter) tumor tissues were embedded in Matrigel-containing organoid media and subsequently formed into organoid structures within 3 to 7 days of culture. The success rate of growing PDOTS from fresh tissues was ~86%. Morphological analysis showed that the PDOTSs varied in size and structure. Immunofluorescence and flow cytometry analysis revealed that the PDOTSs retained autologous tumor-infiltrating lymphoid cells and tumor-infiltrating lymphoid cells were continually decreased through serial passages. Notably, PDOTSs from tumors from a high-level microsatellite instability-harboring patient were sensitive to anti-PD-1 or anti-PD-L1 antibodies. Our results demonstrate that the PDOTS model in which the tumor immune microenvironment is preserved may represent an advantageous ex vivo system to develop effective immune therapeutics.

High Integrity and Fidelity of Long-Term Cryopreserved Umbilical Cord Blood for Transplantation.

Umbilical cord blood (UCB) is used as a source of donor cells for hematopoietic stem cell (HSC) transplantation. The success of transplantation is dependent on the quality of cord blood (CB) units for maximizing the chance of engraftment. Improved outcomes following transplantation are associated with certain factors of cryopreserved CB units: total volume and total nucleated cell (TNC) count, mononuclear cell (MNC) count, and CD34+ cell count. The role of the storage period of CB units in determining the viability and counts of cells is less clear and is related to the quality of cryopreserved CB units. Herein, we demonstrate the recovery of viable TNCs and CD34+ cells, as well as the MNC viability in 20-year-old cryopreserved CB units in a CB bank (MEDIPOST Co., Ltd., Seongnam-si, Gyeonggi-do, Korea). In addition, cell populations in CB units were evaluated for future clinical applications. The stable recovery rate of the viability of cryopreserved CB that had been stored for up to 20 years suggested the possibility of uses of the long-term cryopreservation of CB units. Similar relationships were observed in the recovery of TNCs and CD34+ cells in units of cryopreserved and fresh CB. The high-viability recovery of long-term cryopreserved CB suggests that successful hematopoietic stem cell (HSC) transplantation and other clinical applications, which are suitable for treating incurable diseases, may be performed regardless of long-term storage.

Cdc7 kinase is a predictor of survival and a novel therapeutic target in epithelial ovarian carcinoma.

PURPOSE: There is a lack of prognostic and predictive biomarkers in epithelial ovarian carcinoma, and the targeting of oncogenic signaling pathways has had limited impact on patient survival in this highly heterogeneous disease. The origin licensing machinery, which renders chromosomes competent for DNA replication, acts as a convergence point for upstream signaling pathways. We tested the hypothesis that Cdc7 kinase, a core component of the licensing machinery, is predictive of clinical outcome and may constitute a novel therapeutic target in epithelial ovarian carcinoma. EXPERIMENTAL DESIGN: A total of 143 cases of ovarian cancer and 5 cases of normal ovary were analyzed for Cdc7 protein expression dynamics and clinicopathologic features. To assess the therapeutic potential of Cdc7, expression was down-regulated by RNA interference in SKOV-3 and Caov-3 ovarian cancer cells. RESULTS: Increased Cdc7 protein levels were significantly associated with arrested tumor differentiation (P = 0.004), advanced clinical stage (P = 0.01), genomic instability (P < 0.001), and accelerated cell cycle progression. Multivariate analysis shows that Cdc7 predicts disease-free survival independent of patient age, tumor grade and stage (hazard ratio, 2.03; confidence interval, 1.53-2.68; P < 0.001), with the hazard ratio for relapse increasing to 10.90 (confidence interval, 4.07-29.17) for the stages 3 to 4/upper Cdc7 tertile group relative to stages 1 to 2/lower Cdc7 tertile tumors. In SKOV-3 and Caov-3 cells, Cdc7 siRNA knockdown triggered high levels of apoptosis, whereas untransformed cells arrest in G(1) phase and remain viable. CONCLUSIONS: Our findings show that Cdc7 kinase predicts survival and is a potent anticancer target in epithelial ovarian carcinoma, highlighting its potential as a predictor of susceptibility to small molecule kinase inhibitors currently in development.

Patient-derived cancer modeling for precision medicine in colorectal cancer: beyond the cancer cell line.

Since effective immunotherapeutic agents such as immune checkpoint blockade to treat cancer have emerged, the need for reliable preclinical cancer models that can evaluate and discover such drugs became stronger than ever before. The traditional preclinical cancer model using a cancer cell line has several limitations to recapitulate intra-tumor heterogeneity and in-vivo tumor activity including interactions between tumor-microenvironment. In this review, we will go over various preclinical cancer models recently discovered including patient-derived xenografts, humanized mice, organoids, organotypic-tumor spheroids, and organ-on-a-chip models. Moreover, we will discuss the future directions of preclinical cancer research.

Ubiquitin-Specific Protease 21 Promotes Colorectal Cancer Metastasis by Acting as a Fra-1 Deubiquitinase.

Fos-related-antigen-1 (Fra-1), a member of the activator protein-1 (AP-1) transcription factor superfamily, has an essential role in cancer progress and metastasis and Fra-1 is considered a therapeutic target in metastatic cancer including metastatic colorectal cancer (mCRC). However, its regulation at protein level has not yet been clearly elucidated. We found that ubiquitin-specific protease 21 (USP21) increases Fra-1 stability by deubiquitinating Fra-1 and enhances the expression of Fra-1 target genes in colon cancer cells. We also showed that USP21 controlled Fra-1-dependent migration and invasion activities. The oncogenic property of USP21 was confirmed by a significant reduction in liver metastasis when USP21-knockdown cancer cells were injected intrasplenically into mice. Consistently, clinicopathological analysis of colorectal cancer patients revealed a correlation of USP21 expression with high-grade carcinoma and life span. These results demonstrate that USP21 enhances Fra-1 stability and AP-1 target gene expression by deubiquitinating Fra-1. Therefore, USP21 is considered an attractive therapeutic target in mCRC with high Fra-1 expression.

The FBW7-MCL-1 axis is key in M1 and M2 macrophage-related colon cancer cell progression: validating the immunotherapeutic value of targeting PI3Kγ.

Colorectal cancer is a devastating disease with a low 5-year survival rate. Recently, many researchers have studied the mechanisms of tumor progression related to the tumor microenvironment. Here, we addressed the prognostic value of tumor-associated macrophages (TAMs) using a total of 232 CRC patient tissue samples and investigated the mechanisms underlying TAM-related colon cancer progression with respect to PI3Kγ regulation using in vitro, in vivo, and ex vivo approaches. Patients with M2/M1 < 3 had significantly improved progression-free survival and overall survival compared with patients with M2/M1 > 3. M1 and M2 macrophages elicited opposite effects on colon cancer progression via the FBW7-MCL-1 axis. Blocking macrophage PI3Kγ had cytotoxic effects on colon cancer cells and inhibited epithelial-mesenchymal transition features by regulating the FBW7-MCL-1 axis. The results of this study suggest that macrophage PI3Kγ may be a promising target for immunotherapy in colon cancer.