Managing toxicities associated with immune checkpoint inhibitors

Immunotherapy-associated symptoms, distress, financial toxicity and unmet supportive care needs of patients with cancer

PURPOSE

To examine the unmet care needs (i.e., overall needs and need subdomains [physical and daily living needs, psychological and emotional needs, care and support needs, and health-system and informational needs]) of patients with cancer undergoing immunotherapy alone or in combination with other anticancer therapies, as well as related influencing factors.

METHODS

A cross-sectional design was adopted. Cancer patients who received immunotherapy completed consent and questionnaires. Unmet care needs were evaluated with the Chinese version of the Supportive Care Needs Survey Screening Tool, symptom severity with the Symptom Severity Scale, distress severity with the Distress Thermometer Scale, and financial toxicity using the Financial Toxicity - Functional Assessment of Chronic Illness Therapy Questionnaire.

RESULTS

In total, 105 patients were surveyed. The most frequently reported unmet needs were psychological and emotional needs (56.2%) followed by health-system and informational needs (36.2%). The major factors associated with unmet care needs and their subdomains were years of education, symptoms, distress, and financial toxicity. Years of education predicted overall unmet care needs, psychological and emotional needs, and care and support needs; symptoms predicted overall unmet care needs and all four subdomains; distress predicted psychological and emotional needs and health-system and informational needs; and financial toxicity predicted overall needs and psychological and emotional needs.

CONCLUSIONS

Patients with higher education, severe symptoms, distress, and financial toxicity reported more unmet care needs. The findings of this study could be incorporated into immunotherapy-related clinical practice guidelines and future interventions to improve the quality of cancer care.

Decisional conflict and its determinants among patients with cancer undergoing immunotherapy combined with chemotherapy or targeted therapy: a cross-sectional study

Decisional conflict might occur during shared decision-making (SDM) because immunotherapy is a rather novel treatment option for patients with cancer. To explore the prevalence and severity of physical and psychological symptoms and the effort invested in SDM in relation to decisional conflict among patients with cancer undergoing immunotherapy combined with chemotherapy or targeted therapy. This was a cross-sectional survey study. The SURE version of the Decisional Conflict Scale was used to screen cancer patients' decisional conflict status. Demographic or clinical characteristics, physical symptoms and psychological distress; efforts invested in the SDM process were also assessed as potential factors related to decisional conflict. One hundred seventeen patients surveyed, the prevalence of fatigue (79.5%), sleep disturbance (78.6%), poor appetite (67.5%), and pain (58.1%) symptoms were high and the severity was at moderate levels. The prevalence of pruritus (40.2%), rash (34.2%), dry skin (41.9%), and diarrhea (17.1%) symptoms were low and the severity was at mild levels. 65.8% of patients reported uncertainty, with mild to moderate levels. Furthermore, 97.4% of the patients made some effort in SDM, and the effort level was moderate (mean: 5.56 ± 2.02). 64.1% of patients were certain that immunotherapy was the best option. Age, uncertainty, and effort in the SDM process were major factors related to decisional conflict. We observed that older patients (age: ≥ 65) and those with higher uncertainty levels and less effort in SDM reported higher levels of decisional conflict. Future studies should explore older patients' decisional related needs of immunotherapy. Interventions should be designed to reduce the uncertainty experienced by patients with cancer and enhance their understanding of immunotherapy to enable them to take more effort in the SDM process.

Review of the Immune Checkpoint Inhibitors in the Context of Cancer Treatment

Checkpoint proteins are an integral part of the immune system and are used by the tumor cells to evade immune response, which helps them grow uncontrollably. By blocking these proteins, immune checkpoint inhibitors can restore the capability of the immune system to attack cancer cells and stop their growth. These findings are backed by adequate clinical trial data and presently, several FDA-approved immune checkpoint inhibitors exist in the market for treating various types of cancers, including melanoma, hepatocellular, endometrial, lung, kidney and others. Their mode of action is inhibition by targeting the checkpoint proteins CTLA-4, PD-1, PD-L1, etc. They can be used alone as well as in amalgamation with other cancer treatments, like surgery, radiation or chemotherapy. Since these drugs target only specific immune system proteins, their side effects are reduced in comparison with the traditional chemotherapy drugs, but may still cause a few affects like fatigue, skin rashes, and fever. In rare cases, these inhibitors are known to have caused more serious side effects, such as cardiotoxicity, and inflammation in the intestines or lungs. Herein, we provide an overview of these inhibitors and their role as biomarkers, immune-related adverse outcomes and clinical studies in the treatment of various cancers, as well as present some future perspectives.

Identification and validation of immunotherapy for four novel clusters of colorectal cancer based on the tumor microenvironment

The incidence and mortality of colorectal cancer (CRC) are increasing year by year. The accurate classification of CRC can realize the purpose of personalized and precise treatment for patients. The tumor microenvironment (TME) plays an important role in the malignant progression and immunotherapy of CRC. An in-depth understanding of the clusters based on the TME is of great significance for the discovery of new therapeutic targets for CRC. We extracted data on CRC, including gene expression profile, DNA methylation array, somatic mutations, clinicopathological information, and copy number variation (CNV), from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) (four datasets—GSE14333, GSE17538, GSE38832, and GSE39582), cBioPortal, and FireBrowse. The MCPcounter was utilized to quantify the abundance of 10 TME cells for CRC samples. Cluster repetitive analysis was based on the Hcluster function of the Pheatmap package in R. The ESTIMATE package was applied to compute immune and stromal scores for CRC patients. PCA analysis was used to remove batch effects among different datasets and transform genome-wide DNA methylation profiling into methylation of tumor-infiltrating lymphocyte (MeTIL). We evaluated the mutation differences of the clusters using MOVICS, DeconstructSigs, and GISTIC packages. As for therapy, TIDE and SubMap analyses were carried out to forecast the immunotherapy response of the clusters, and chemotherapeutic sensibility was estimated based on the pRRophetic package. All results were verified in the TCGA and GEO data. Four immune clusters (ImmClust-CS1, ImmClust-CS2, ImmClust-CS3, and ImmClust-CS4) were identified for CRC. The four ImmClusts exhibited distinct TME compositions, cancer-associated fibroblasts (CAFs), functional orientation, and immune checkpoints. The highest immune, stromal, and MeTIL scores were observed in CS2, in contrast to the lowest scores in CS4. CS1 may respond to immunotherapy, while CS2 may respond to immunotherapy after anti-CAFs. Among the four ImmClusts, the top 15 markers with the highest mutation frequency were acquired, and CS1 had significantly lower CNA on the focal level than other subtypes. In addition, CS1 and CS2 patients had more stable chromosomes than CS3 and CS4. The most sensitive chemotherapeutic agents in these four ImmClusts were also found. IHC results revealed that CD29 stained significantly darker in the cancer samples, indicating that their CD29 was highly expressed in colon cancer. This work revealed the novel clusters based on TME for CRC, which would guide in predicting the prognosis, biological features, and appropriate treatment for patients with CRC.

PD-1/L1 inhibitors may increase the risk of pericardial disease in non-small-cell lung cancer patients: a meta-analysis and systematic review

Background: The advent of PD-1/L1 inhibitors has changed the landscape for patients with non-small-cell lung cancer (NSCLC). Meanwhile, the adverse events of PD-1/L1 inhibitors have been focused. Methods: The Cochrane Central Register of Controlled Trials, PubMed and Embase databases and ClinicalTrials.gov were searched from inception to February 2021. Results: 18 studies involving 11,394 patients with NSCLC were included. PD-1/L1 inhibitor monotherapy was associated (relative risk, 95% confidence interval) with an increased risk of pericardial effusion (2.72 [1.45-5.12]; p = 0.002) and cardiac tamponade (2.76 [1.15-6.62]; p = 0.023), whereas PD-1/L1 inhibitors combined with chemotherapy did not increase the risk of pericardial effusion and cardiac tamponade (3.08 [0.93-10.21]; p = 0.066 and 3.27 [0.37-28.94]; p = 0.288, respectively). Conclusion: For patients with NSCLC, treatment with PD-1/L1 inhibitor monotherapy increases the risk of pericardial effusion and cardiac tamponade, but PD-1/L1 inhibitors combined with chemotherapy do not.