Young-onset Rectal Cancer: Unique Tumoral Microbiome and Correlation With Response to Neoadjuvant Therapy

OBJECTIVE

External exposures, the host, and the microbiome interact in oncology. We aimed to investigate tumoral microbiomes in young-onset rectal cancers (YORCs) for profiles potentially correlative with disease etiology and biology.

BACKGROUND

YORC is rapidly increasing, with 1 in 4 new rectal cancer cases occurring under the age of 50 years. Its etiology is unknown.

METHODS

YORC (<50 y old) or later-onset rectal cancer (LORC, ≥50 y old) patients underwent pretreatment biopsied of tumor and tumor-adjacent normal (TAN) tissue. After whole genome sequencing, metagenomic analysis quantified microbial communities comparing tumors versus TANs and YORCs versus LORCs, controlling for multiple testing. Response to neoadjuvant therapy (NT) was categorized as major pathological response (MPR, ≤10% residual viable tumor) versus non-MPR.

RESULTS

Our 107 tumors, 75 TANs from 37 (35%) YORCs, and 70 (65%) LORCs recapitulated bacterial species were previously associated with colorectal cancers (all P <0.0001). YORC and LORC tumoral microbiome signatures were distinct. After NT, 13 patients (12.4%) achieved complete pathologic response, whereas MPR occurred in 47 patients (44%). Among YORCs, MPR was associated with Fusobacterium nucleaum , Bacteroides dorei, and Ruminococcus bromii (all P <0.001), but MPR in LORC was associated with R. bromii ( P <0.001). Network analysis of non-MPR tumors demonstrated a preponderance of oral bacteria not observed in MPR tumors.

CONCLUSIONS

Microbial signatures were distinct between YORC and LORC. Failure to achieve an MPR was associated with oral bacteria in tumors. These findings urge further studies to decipher correlative versus mechanistic associations but suggest a potential for microbial modulation to augment current treatments.

Internet-based assessment tools for predicting colorectal cancer risk: How do they communicate individualized risk to the young adult?

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Background: Online prediction tools for cancer risk can inform individuals about their risk and potentially encourage adoption of risk-modifying health behavior. The Colorectal Cancer Risk Assessment Tool (CCRAT) is an interactive tool developed by the National Cancer Institute for estimating colorectal cancer (CRC) risk for individuals between the ages of 45 and 85 without high risk predisposing conditions. Given the rising incidence of CRC among young adults under age 50, we aimed to investigate the performance of CCRAT in estimating their CRC risk. Methods: An institutional protocol prospectively enrolled 563 patients newly diagnosed with non-hereditary CRC and administered a health behavior questionnaire at baseline. Self-reported demographics, diet and physical activity, medication use, and family history were extracted and entered into the CCRAT ( https://ccrisktool.cancer.gov/calculator.html ) to calculate their predicted 5-year and lifetime CRC risks. Health behaviors and the predicted CRC risks in reference to the population average were compared among three groups: youngest- (aged 18-44, N = 276, 49%), young- (aged 45-50, N = 178, 32%), and older-onset (aged > 50, N = 109; 19%). Results: The patient groups did not significantly differ in gender or in family history of CRC, but the youngest group had significantly more non-White patients (27, 22, vs. 19%; p = 0.008) and distal tumors (80, 76 and 65%; p = 0.05). The youngest and young groups had a higher prevalence of morbid obesity (18 and 15% vs. 12%; p = 0.002) and active smokers (6 and 8% vs. 3%; p = 0.005). There were no significant differences in vegetable intake, moderate exercise, NSAID use, or female hormone use. The 5-year CRC risk was correctly predicted as “higher than average population” for a significantly smaller proportion of the youngest (42%) and young (45%) patients, when compared to their older counterpart (71%; p < 0.001). Similarly, the tool communicated “higher than average” lifetime risk for CRC in only 56 and 60% of the youngest and young patients, but 72% of the older ones (p = 0.021). Conclusions: The existing risk prediction tool inadequately communicated CRC risk for adults younger than 50 years of age. Risk factors underlying young-onset CRC likely differ from and extend beyond those as currently assessed. New tools capturing age-specific risk factors are needed to accurately communicate individualized risk and potentially motivate risk-modifying lifestyles.

Resistance Mechanisms to Anti-Epidermal Growth Factor Receptor Therapy in RAS/RAF Wild-Type Colorectal Cancer Vary by Regimen and Line of Therapy

PURPOSE

Acquired resistance to anti-epidermal growth factor receptor (EGFR) inhibitor (EGFRi) therapy in colorectal cancer (CRC) has previously been explained by the model of acquiring new mutations in KRAS/NRAS/EGFR, among other MAPK-pathway members. However, this was primarily on the basis of single-agent EGFRi trials and little is known about the resistance mechanisms of EGFRi combined with effective cytotoxic chemotherapy in previously untreated patients.

METHODS

We analyzed paired plasma samples from patients with RAS/BRAF/EGFR wild-type metastatic CRC enrolled in three large randomized trials evaluating EGFRi in the first line in combination with chemotherapy and as a single agent in third line. The mutational signature of the alterations acquired with therapy was evaluated. CRC cell lines with resistance to cetuximab, infusional fluorouracil, leucovorin, and oxaliplatin, and SN38 were developed, and transcriptional changes profiled.

RESULTS

Patients whose tumors were treated with and responded to EGFRi alone were more likely to develop acquired mutations (46%) compared with those treated in combination with cytotoxic chemotherapy (9%). Furthermore, contrary to the generally accepted hypothesis of the clonal evolution of acquired resistance, we demonstrate that baseline resistant subclonal mutations rarely expanded to become clonal at progression, and most remained subclonal or disappeared. Consistent with this clinical finding, preclinical models with acquired resistance to either cetuximab or chemotherapy were cross-resistant to the alternate agents, with transcriptomic profiles consistent with epithelial-to-mesenchymal transition. By contrast, commonly acquired resistance alterations in the MAPK pathway do not affect sensitivity to cytotoxic chemotherapy.

CONCLUSION

These findings support a model of resistance whereby transcriptomic mechanisms of resistance predominate in the presence of active cytotoxic chemotherapy combined with EGFRi, with a greater predominance of acquired MAPK mutations after single-agent EGFRi. The proposed model has implications for prospective studies evaluating EGFRi rechallenge strategies guided by acquired MAPK mutations, and highlights the need to address transcriptional mechanisms of resistance.

Resistance mechanisms to anti-EGFR therapy in RAS/RAF wildtype colorectal cancer varies by regimen and line of therapy

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Background: The conventional theory for the development of treatment resistance to anti-EGFR for metastatic colorectal cancer (mCRC) is the selective growth advantage of pre-existing therapy-resistant subclones with genomic mechanisms such as RAS mutations, leading to treatment resistance and disease progression. However, the impact of cytotoxic chemotherapy in combination with anti-EGFR on the mechanisms of resistance has not been assessed. Methods: We analyzed paired plasma samples from RAS/BRAF/EGFR wild-type mCRC patients enrolled in three large randomized phase 3 trials of anti-EGFR rechallenge in whom paired baseline and time of progression plasma samples had been collected for sequencing of ctDNA on a platform optimized for very low allele frequencies. 569 patients had paired baseline and progression ctDNA samples analyzed, including 147 in the first line study of FOLFOX +/- panitumumab, 91 patients in third line with panitumumab vs best supportive care, and 331 patients in the third line study of cetuximab vs. panitumumab. The mutational signature of the alterations acquired with therapy was evaluated. We also established colon cancer cell lines with resistance to cetuximab, FOLFOX, and SN38, and profiled transcriptional changes. Results: Using serial plasma samples, we demonstrate that patients whose tumors were treated with and responded to anti-EGFR alone were approximately 5-times more likely to develop acquired mutations at progression compared to those treated with an EGFR inhibitor in combination with cytotoxic chemotherapy (46% vs. 9%, respectively; p < 0.001). Consistent with this clinical finding, cell lines with non-genomic acquired resistance to cetuximab were cross-resistant to cytotoxic chemotherapy and vice-versa, with transcriptomic profiles consistent with epithelial to mesenchymal transition. In contrast, common acquired genomic alterations in the MAPK pathway that drive resistance to EGFR monoclonal antibodies do not impact sensitivity to cytotoxic chemotherapy. Further, contrary to the generally accepted hypothesis of clonal expansion of acquired resistance, in our work we demonstrate that baseline resistant subclonal mutations rarely expanded to become clonal at the time of progression (8%), and most remained subclonal (44%) or disappeared (49%). Conclusions: Collectively, this work outlines a model of resistance where non-genomic mechanisms of resistance common to both EGFR inhibitors and cytotoxic chemotherapy predominate in patients treated with EGFR and chemotherapy combinations. With EGFR inhibitor monotherapy, genomic acquired resistance mechanisms predominate, although only rarely through expansion of pre-existing subclones. These findings have important implications for strategies of EGFR-inhibitor rechallenge studies.

ARID1A Mutation May Define an Immunologically Active Subgroup in Patients with Microsatellite Stable Colorectal Cancer

PURPOSE

AT-rich interactive domain 1A (ARID1A) is commonly mutated in colorectal cancer, frequently resulting in truncation and loss of protein expression. ARID1A recruits MSH2 for mismatch repair during DNA replication. ARID1A deficiency promotes hypermutability and immune activation in preclinical models, but its role in patients with colorectal cancer is being explored.

EXPERIMENTAL DESIGN

The DNA sequencing and gene expression profiling of patients with colorectal cancer were extracted from The Cancer Genome Atlas and MD Anderson Cancer Center databases, with validation utilizing external databases, and correlation between ARID1A and immunologic features. IHC for T-cell markers was performed on a separate cohort of patients.

RESULTS

Twenty-eight of 417 patients with microsatellite stable (MSS) colorectal cancer (6.7%) had ARID1A mutation. Among 58 genes most commonly mutated in colorectal cancer, ARID1A mutation had the highest increase with frameshift mutation rates in MSS cases (8-fold, P < 0.001). In MSS, ARID1A mutation was enriched in immune subtype (CMS1) and had a strong correlation with IFNγ expression (Δz score +1.91, P < 0.001). Compared with ARID1A wild-type, statistically significant higher expression for key checkpoint genes (e.g., PD-L1, CTLA4, and PDCD1) and gene sets (e.g., antigen presentation, cytotoxic T-cell function, and immune checkpoints) was observed in mutant cases. This was validated by unsupervised differential expression of genes related to immune response and further confirmed by higher infiltration of T cells in IHC of tumors with ARID1A mutation (P = 0.01).

CONCLUSIONS

The immunogenicity of ARID1A-mutant cases is likely due to an increased level of neoantigens resulting from increased tumor mutational burden and frameshift mutations. Tumors with ARID1A mutation may be more susceptible to immune therapy-based treatment strategies and should be recognized as a unique molecular subgroup in future immune therapy trials.

The many faces of peroxisomal disorders: Lessons from a large Arab cohort

Defects in the peroxisomes biogenesis and/or function result in peroxisomal disorders. In this study, we describe the largest Arab cohort to date (72 families) of clinically, biochemically and molecularly characterized patients with peroxisomal disorders. At the molecular level, we identified 43 disease-causing variants, half of which are novel. The founder nature of many of the variants allowed us to calculate the minimum disease burden for these disorders in our population ~1:30 000, which is much higher than previous estimates in other populations. Clinically, we found an interesting trend toward genotype/phenotype correlation in terms of long-term survival. Nearly half (40/75) of our peroxisomal disorders patients had documented survival beyond 1 year of age. Most unusual among the long-term survivors was a multiplex family in which the affected members presented as adults with non-specific intellectual disability and epilepsy. Other unusual presentations included the very recently described peroxisomal fatty acyl-CoA reductase 1 disorder as well as CRD, spastic paraparesis, white matter (CRSPW) syndrome. We conclude that peroxisomal disorders are highly heterogeneous in their clinical presentation. Our data also confirm the demonstration that milder forms of Zellweger spectrum disorders cannot be ruled out by the "gold standard" very long chain fatty acids assay, which highlights the value of a genomics-first approach in these cases.

Neoadjuvant chemotherapy does not impair liver regeneration following hepatectomy or portal vein embolization for colorectal cancer liver metastases

BACKGROUND AND OBJECTIVES

Treatment strategies for colorectal cancer liver metastasis (CRCLM) such as major hepatectomy and portal vein embolization (PVE) rely on liver regeneration. We aim to investigate the effect of neoadjuvant chemotherapy on liver regeneration occurring after PVE and after major hepatectomy.

METHODS

CRCLM patients undergoing PVE or major resection were identified retrospectively from our database. Liver regeneration data (expressed as future liver remnant [FLR] and percentage of liver regeneration [%LR]), total liver volume (TLV) and clinical characteristics were collected.

RESULTS

Between 2003 and 2013, 226 patients were included (85 major resection, 141 PVE). The median chemotherapy cycles was six in both groups. The median time interval between the last chemotherapy and the intervention was 51 days in the PVE group and 79 days in the hepatectomy group. In the PVE group, chemotherapy was not associated with altered liver regeneration (number of cycles [P = 0.435], timing [P = 0.563], or chemotherapy agent [P = 0.116]). Similarly in the major hepatectomy group, preoperative chemotherapy (number of cycles [P = 0.114]; agent [P = 0.061], timing [P = 0.126]) were not significantly associated with differences in liver regeneration (P = 0.592). In both groups, the predicted FLR% was inversely correlated with the %LR (P < 0.001).

CONCLUSION

Chemotherapy does not affect liver regeneration following PVE or major resection. J. Surg. Oncol. 2016;113:449-455. © 2016 Wiley Periodicals, Inc.