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Oncotype DX® Colon Recurrence Score test

This study establishes the first lncRNA AC002331.1-centered ceRNA-ferroptosis prognostic model for colon cancer, revealing microbiota-metabolite interactions in disease progression. It provides novel mechanistic insights for therapeutic targeting.

Tumor Immune Dysfunction and Exclusion (TIDE) analysis revealed an association between high Rho GTPase risk scores and immune dysfunction, suggesting potential resistance to immune checkpoint inhibitors in high-risk patients. Additionally, differential sensitivity to 59 chemotherapeutics was observed: high-risk patients showed greater sensitivity to CCT007093, CGP.082996, and AS601245, while low-risk patients were more sensitive to BMS.708163, NSC.87877, and Cisplatin, informing potential treatment choices. The Rho GTPase-related 12-gene signature offers a valuable tool for predicting prognosis and therapeutic response in colon cancer, supporting personalized treatment strategies and improved patient outcomes.

The optimal treatment of synchronous bilateral breast cancers with differing histological subtypes remains uncertain.This case illustrates the importance of leveraging existing evidence, multidisciplinary collaboration and patient-centred decision-making when addressing knowledge gaps.There is a call for further research to establish guidelines for managing simultaneous, histologically distinct breast cancers.

Using transcriptomic data of patients with stage III CC from two large-scale adjuvant trials, a prognostic model on the basis of signatures of the TME and the cell cycle provides important information in addition to known prognostic factors for patient stratification on risk of recurrence.

The CRG prognostic signature can effectively predict overall survival, immune microenvironment and chemotherapy response in CC. KIF7, as a potential prognostic marker, has significant potential for the prediction and treatment of CC.

Finally, based on the cMAP database, we identified several potential drugs that could target high-risk groups, such as Dasatinib, GNF-2, Saracatinib, and WZ-1-84. This model can be used as a predictor of prognosis and immunotherapy response in colon cancer patients. At the same time, model-based prediction of drugs can also be a potential option for colon cancer treatment in the future.

RS results are prognostic in stage II CC. Among RS 41-100 patients, outcomes were better in CT-treated versus observation-only patients despite worse clinicopathologic characteristics, suggesting that CT confers clinical benefit in high-risk patients.

"The primary analysis will be conducted when ≥30 histologic and/or radiographic confirmed cases of clinical recurrence have been observed. As of April 2, 2024, 158 pts of 400 have been enrolled."

Support: NSABP Foundation, ExactSciences. Clinical trial information: NCT05210283.

Using transcriptomic data of patients with stage III CC from 2 large-scale adjuvant trials, two predictive models based on signatures of the TME and the cell cycle, provide important information in addition to known prognostic factors for patient stratification on risk of recurrence. Beyond T and N stage, for the decision of adjuvant chemotherapy in stage III CC, the combination of these different variables could be exploited in the future for personalized care (de-escalation, intensification). >

This real-world analysis showed that the RS results provide independent prognostic information in stage II CC. Further studies are needed to investigate the potential role of the RS result as a predictor of CT benefit, but the data suggest that this benefit may be limited to pts with high RS results. >

The use of the 12-gene signature refutes the decision of tumour board in 25% of cases, with 75% of discordant decisions resulting in omission of adjuvant chemotherapy. Therefore, it is possible that a proportion of such patients are being overtreated when relying on tumour board decisions alone.