Adding a Wider Range and "Hope for the Best, and Prepare for the Worst" Statement: Preferences of Patients with Cancer for Prognostic Communication

Perspectives on Death and Dying by the Bereaved Designated Personal Representatives of Women Diagnosed With Metastatic Breast Cancer

Metastatic breast cancer (MBC) is a complex disease with variability in disease subtype, length of survival, treatment selection, symptom burden, and, ultimately, end-of-life (EOL) care. Influencing factors that contribute to the complexity of this disease are socioeconomic factors, provider differences, and patient and family preferences. Because of this variability, it is challenging for health care providers to know when treatments are no longer helpful but contribute to a poor quality of end-of-life care and a poor death experience for both patients and their families. Determining the unique point, based on their own values and goals, at which patients and their family members feel that MBC treatment becomes unhelpful and unwanted, is difficult to ascertain. Of the 25 individuals who participated in the Quality of Death and Dying survey, 16 individuals participated in an interview to provide a reflection of the patient's EOL experience and its congruence with their wishes. Four major categories emerged as primary priorities essential to high quality end-of-life care, that is, resilience, communication, support, and knowledge. Without tailored and precise care, patients with MBC will continue to receive prolonged, inappropriate, and costly treatment, resulting in a potentially unacceptable poor-quality EOL and death experience.

The trajectory of prognostic cognition in patients with advanced cancer: is the traditional advance care planning approach desirable for patients?

Most patients with advanced cancer initially express a desire to be informed of their prognosis, and prognostic discussions between patients and their oncologists can trigger the subsequent trajectory of prognostic cognitions. On the continuum of prognostic cognition, including inaccurate/accurate prognostic awareness (awareness of incurability of cancer, terminal nature of illness or life expectancy) and prognostic acceptance (accepting one's prognosis), patients' perceptions of being informed of their prognosis by oncologists and patients' coping strategy for serious medical conditions regulate prognostic cognitions. However, nearly half of the patients with advanced cancer have poor prognostic awareness, and few patients achieve prognostic acceptance. These phenomena partly act as barriers to participation in advance care planning. When oncologists engage in advance care planning conversations, they must assess the patient's prognostic cognition and readiness for advance care planning. Considering the inaccurate prognostic awareness in a non-negligible proportion of patients and that astatic patients' preferences for future treatment and care are influenced by prognostic cognition, more research on decision-making support processes for high-quality and goal-concordant end-of-life care is needed along with research of advance care planning. In addition to making decisions regarding future medical treatment and care, oncologists must engage in continuous and dynamic goal-of-care conversations with empathic communication skills and compassion from diagnosis to end-of-life care.

Qualitative analysis of expressions used in the end-of-life discussions and their associated factors

OBJECTIVES

Discussing end-of-life (EOL) issues with patients remains challenging for health professionals. Physicians may use various expressions, including euphemistic ones, when disclosing the prognosis to their patients to reduce their psychological impact. However, the actual expressions of EOL disclosure in clinical practice are unclear. This study aims to investigate the expressions used in EOL disclosures and explore their associated factors.

METHODS

A retrospective chart review was conducted enrolling all the patients who died in a university-affiliated hospital. Expressions used in the EOL disclosure were qualitatively analyzed. The patients' participation rate and length from the discussion to death were investigated.

RESULTS

EOL disclosures were observed in 341 of 358 patients. The expressions used by the physicians were categorized into 4 groups; Group 1: Clear presentation of life expectancy (n = 106; 31.1%), Group 2: Euphemistic presentation of life expectancy (n = 24; 7.0%), Group 3: Presentation of risk of sudden death (n = 147; 43.1%), Group 4: No mention on life expectancy (n = 64; 18.8%). The proportion of male patients was higher in Group 2 (79%) and lower in Group 4 (56%). Patients with cancer accounted for approximately 70% of Groups 1 and 4, but only approximately 30% of Group 3. The patient participation rate was highest in Group4 (84.4%), followed by Group 2 (50.0%). The median time from EOL disclosure to death was longer in Groups 1 and 4 (26 and 29.5 days, respectively), compared to Groups 2 and 3 (18.5 and 16 days, respectively).

SIGNIFICANCE OF RESULTS

A variety of expressions are used in EOL disclosure. Patterns of communication are influenced by patients' gender and type of illness (cancer or noncancer). Euphemisms do not seem to facilitate timely disclosure of life expectancy or patient participation. For health professionals, not only devising the expressions to alleviate their patients' distress when breaking bad news but also considering the communication process and patient background are essential.

Psychological factors and prognostic communication preferences in advanced cancer: multicentre study

OBJECTIVES

Communication regarding prognosis to patients with advanced cancer is fundamental for informed medical decision making. Our objective was to analyse (1) the proportion of subjects with advanced cancer who prefer to know their prognosis, (2) the characteristics associated with patients' preference for prognostic information, (3) the psychological factors that impact the preference to know prognosis and 4) the concordance between preference for prognostic information perceived among physicians and patients.

METHODS

A prospective, cross-sectional design was adopted. Data were collected from 748 participants with advanced cancer at 15 tertiary hospitals in Spain. Participants completed the following questionnaires: Mental Adjustment to Cancer; Trust in the Physician; Uncertainty in Illness Scale Patient's Prognostic Preferences.

RESULTS

Fifty-two per cent of advanced cancer sufferers preferred to know the prognosis of their disease. Compared with participants who preferred not to know, those who did reported more uncertainty, greater satisfaction with their physician and higher scores on positive attitude (all p=0.001). Thirty-seven per cent of the physicians believed that patients want to know their prognosis, indicating that they underestimate the number of such patients. No significant differences were found regarding preference to know prognosis as a function of sociodemographic and clinical variables.

CONCLUSIONS

A substantial proportion of individuals with advanced cancer prefer to know the prognosis of their disease. It appears that knowing their prognosis was mainly motivated by a need to maintain a positive attitude, lessen uncertainty and by satisfaction with the physician. It is important to explore patients' preferences for information to offer more personalised communication.

How should uncertainty about upcoming painful procedures be communicated? An experimental study into highly uncertain pain predictions

OBJECTIVE

Uncertainty is unavoidable in the context of painful medical procedures. It is important to investigate the impact of different ways of communicating uncertainty on upcoming pain.

METHODS

In our exploratory study, healthy participants (n = 30) were repeatedly presented with three highly uncertain pain predictions communicated by a hypothetical doctor. A direct statement of high uncertainty ("I don't know") was compared to more indirect predictions (social prediction: "It varies widely among people"; range prediction: "… not painful at all to very highly painful"), followed by individually calibrated electrical stimuli of non-, moderately, or very highly painful intensity.

RESULTS

The direct expression of uncertainty led to the most intense pain sensation (for moderately painful stimuli only), lowest and most certain pain expectations, lowest trust in the hypothetical doctor, and lowest feeling of being well-informed, especially as compared to the social prediction. No differential effects on anxiety were observed.

CONCLUSIONS

Expressing high uncertainty indirectly, with reference to the common experiences of others, may be beneficial for optimizing pain experiences and enhancing patients' trust in a medical professional.

PRACTICE IMPLICATIONS

Our findings inform on how high uncertainty about upcoming pain may impact patient and health outcomes, pointing to some advantages of indirect communication.

Breaking bad news: during the holiday season

Breaking bad news can be a difficult process. This can further be complicated when such news needs to be delivered around the holiday season. Here, we discuss such a case, and provide recommendations on breaking bad news around the holiday season.

A qualitative study on the healthcare experiences of adolescents and young adults (AYA) with an uncertain or poor cancer prognosis

PURPOSE

Treatment advancements have improved life expectancy for adolescents and young adults (AYAs) with an uncertain and/or poor cancer prognosis (UPCP) and change clinical practice. This improved survival requires a different approach and specific expertise to meet the needs of this group. The aim of this study is to explore the health care experiences of AYAs with a UPCP.

METHODS

We conducted a multicenter qualitative study using semi-structured interviews and elements of the grounded theory by Corbin and Strauss.

RESULTS

Interviews were conducted with 46 AYAs with a UPCP. They were on average 33.4 years old (age range 23-44), and most of them were woman (63%). Additionally, five AYAs with a UPCP participated as AYA research partners in two focus groups. They were on average 31.8 years old and four of them were woman. AYAs with a UPCP reported four pillars for a satisfied healthcare experience: (1) trust, (2) tailored communication, (3) holistic empathic open attitude, and (4) care being offered (pro-)actively. They reported both optimal and suboptimal experiences about distrust based on a delay in diagnostic trajectory, lack of tailored communication and discussion of sensitive topics, preference for a holistic approach, and struggles with finding the way to get additional healthcare support.

CONCLUSION

For AYAs with a UPCP, it is important that both age-specific issues and issues related to the UPCP are understood and addressed; however, this seems not yet optimally implemented in clinical practice. This emphasizes the importance of providing this patient group with tailored care incorporating both aspects. Healthcare professionals need to be supported with training and tools to understand the healthcare needs of AYAs with a UPCP. AYAs can be empowered to take more control over their own healthcare needs.

Practical considerations for prognostic communication in pediatric cancer

High-quality communication is essential for the optimal care of children with cancer and their families. There are opportunities for pediatric oncologists to engage in clear and compassionate prognostic communication across the disease trajectory including at the time of diagnosis, disease recurrence or progression, and end of life. Contrary to previously held beliefs, prognostic disclosure supports parental hope and meets the needs and expectations of families who prefer honest conversations about prognosis. These communication encounters can be challenging with many oncologists having little training in this important skill. In this summary, we aim to provide practical guidance for prognostic communication in pediatric cancer across the illness trajectory giving phrases we have found helpful including a brief overview of some published communication frameworks utilized in the care of pediatric oncology patients and families.

Feasibility and acceptability of an online intervention to enhance hopefulness among oncology professionals

BACKGROUND

Patients prefer medical communication including both hopefulness and realism, though health-care professional (HCPs) struggle to balance these. Providers could thus benefit from a detailed personal understanding of hope, allowing them to model and convey it to patients. Additionally, given that hope is associated with lower levels of burnout, HCPs may benefit from tools designed to enhance their own personal hopefulness. Several investigators have proposed offering HCPs interventions to augment hope. We developed an online workshop for this purpose.

METHODS

Feasibility and acceptability of the workshop were assessed in members of the SWOG Cancer Research Network. Three measures were used: the Was-It-Worth-It scale, a survey based on the Kirkpatrick Training Evaluation Model, and a single item prompting participants to rate the degree to which they believe concepts from the workshop should be integrated into SWOG studies.

RESULTS

Twenty-nine individuals signed up for the intervention, which consisted of a single 2-hour session, and 23 completed measures. Results from Was-It-Worth-It items indicate that nearly all participants found the intervention relevant, engaging, and helpful. Mean ratings for Kirkpatrick Training Evaluation Model items were high, ranging from 6.91 to 7.70 on 8-point scales. Finally, participants provided a mean rating of 4.44 on a 5-point scale to the item "To what degree do you believe it may be useful to integrate concepts from this workshop into SWOG trials/studies?"

CONCLUSIONS

An online workshop to enhance hopefulness is feasible and acceptable to oncology HCPs. The tool will be integrated into SWOG studies evaluating provider and patient well-being.

Prediction of Survival in Patients with Advanced Cancer: A Narrative Review and Future Research Priorities

This paper aimed to summarize the current situation of prognostication for patients with an expected survival of weeks or months, and to clarify future research priorities. Prognostic information is essential for patients, their families, and medical professionals to make end-of-life decisions. The clinician's prediction of survival is often used, but this may be inaccurate and optimistic. Many prognostic tools, such as the Palliative Performance Scale, Palliative Prognostic Index, Palliative Prognostic Score, and Prognosis in Palliative Care Study, have been developed and validated to reduce the inaccuracy of the clinician's prediction of survival. To date, there is no consensus on the most appropriate method of comparing tools that use different formats to predict survival. Therefore, the feasibility of using prognostic scales in clinical practice and the information wanted by the end users can determine the appropriate prognostic tool to use. We propose four major themes for further prognostication research: (1) functional prognosis, (2) outcomes of prognostic communication, (3) artificial intelligence, and (4) education for clinicians.

Hope and cancer

Two models of hope have predominated in the literature pertaining to cancer-Snyder's "Hope Theory" and Herth's hope model-both of which have produced brief self-report measures. Growing evidence demonstrates that hope, as operationalized in these models, is associated with a number of psychological variables in individuals with cancer, including depression, distress, coping, symptom burden, and posttraumatic growth. Emerging evidence also suggests that hope may predict probability of survival in advanced cancer. Surveys show that patients and families generally prefer healthcare communication that authentically conveys prognosis; such communication is not associated with decreased hope, but may actually foster hope. Finally, several interventions have been developed to enhance hope in people with cancer, which generally demonstrate medium effects.

Characteristics of patients with advanced cancer preferring not to know prognosis: a multicenter survey study

Background

For some patients with advanced cancer not knowing prognosis is essential. Yet, in an era of informed decision-making, the potential protective function of unawareness is easily overlooked. We aimed to investigate 1) the proportion of advanced cancer patients preferring not to know prognosis; 2) the reasons underlying patients’ prognostic information preference; 3) the characteristics associated with patients’ prognostic information preference; and 4) the concordance between physicians’ perceived and patients’ actual prognostic information preference.

Methods

This is a cross-sectional study with structured surveys (PROSPECT). Medical and thoracic oncologists included patients (n = 524), from seven Dutch hospitals, with metastatic/inoperable cancer and an expected median overall survival of ≤ 12 months. For analysis, descriptive statistics and logistic regression models were used.

Results

Twenty-five to 31% of patients preferred not to know a general life expectancy estimate or the 5/2/1-year mortality risk. Compared to patients preferring to know prognosis, patients preferring unawareness more often reported optimism, avoidance and inability to comprehend information as reasons for wanting limited information; and less often reported expectations of others, anxiety, autonomy and a sense of control as reasons for wanting complete information. Females (p < .05), patients receiving a further line of systemic treatment (p < .01) and patients with strong fighting spirit (p < .001) were more likely to prefer not to know prognosis. Concordance between physicians’ perceived and patients’ actual prognostic information preference was poor (kappa = 0.07).

Conclusions

We encourage physicians to explore patients’ prognostic information preferences and the underlying reasons explicitly, enabling individually tailored communication. Future studies may investigate changes in patients’ prognostic information preferences over time and examine the impact of prognostic disclosure on patients who prefer unawareness.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-09911-8.

'I Don't Have a Crystal Ball' - Why Do Doctors Tend to Avoid Prognostication?

Uncertainty, fear to harm the patient, discomfort handling the discussion and lack of time are the most cited barriers to prognostic disclosure. Physicians can be reassured that patients desire the truth about prognosis and can manage the discussion without harm, including the uncertainty of the information, if approached in a sensitive manner. Conversational guides could provide support in preparing such difficult conversations. Communicating 'with realism and hope' is possible, and anxiety is normal for both patients and clinicians during prognostic disclosure. As a clinician pointed out: 'I had asked a mentor once if it ever got easier. - No. But you get better at it.'

Factors associated with surrogate families’ life-sustaining treatment preferences for patients at home or in a geriatric health service facility: A cross-sectional study

Objective

Recently, end-of-life preference in palliative care has been gaining attention in Japan. The Ministry of Health, Labor, and Welfare established the Japanese basic policy in November 2018. Patients’ decision-making is recommended; however, patients with dementia or other disorders cannot make such decisions by themselves. Thus, healthcare providers may contact surrogates and consider their backgrounds for better decision-making. Hence, the preferences of home caregivers’ and geriatric health service facility (GHSF) residents’ families on patient life-sustaining treatment (LST) were investigated.

Method

This cross-sectional study involved home caregivers’ and GHSF residents’ families in Japan. We distributed 925 self-reported questionnaires comprising items, such as the number of people living together, care duration, comprehension of doctor's explanations, the Patient Health Questionnaire (PHQ)-9 and Short Form (SF)-8, and families’ LST preference for patients.

Results

In all, 619 valid responses were obtained [242 men and 377 women (309 in the HOME Caregivers Group, response rate = 61.1%; 310 in the GHSF Group, response rate = 74.0%)]. LST preference was significantly associated with sex, the number of people living together, care duration, and comprehension of doctors’ explanations in the HOME Caregivers Group but was not significantly associated with the GHSF Group. Furthermore, PHQ-9/SF-8 scores were not significantly associated with LST preference.

Significance of results

There were many differences in opinions about LST preference between home caregivers’ and GHSF residents’ families. The results suggested that the burden of nursing care was greater and harder in home caregiver families, and these factors may be related to the LST preference for a patient.

Roles of the Immune/Methylation/Autophagy Landscape on Single-Cell Genotypes and Stroke Risk in Breast Cancer Microenvironment

This study sought to perform integrative analysis of the immune/methylation/autophagy landscape on breast cancer prognosis and single-cell genotypes. Breast Cancer Recurrence Risk Score (BCRRS) and Breast Cancer Prognostic Risk Score (BCPRS) were determined based on 6 prognostic IMAAGs obtained from the TCGA-BRCA cohort. BCRRS and BCPRS, respectively, were used to construct a risk prediction model of overall survival and progression-free survival. Predictive capacity of the model was evaluated using clinical data. Analysis showed that BCRRS is associated with a high risk of stroke. In addition, PPI and drug-ceRNA networks based on differences in BCPRS were constructed. Single cells were genotyped through integrated scRNA-seq of the TNBC samples based on clustering results of BCPRS-related genes. The findings of this study show the potential regulatory effects of IMAAGs on breast cancer tumor microenvironment. High AUCs of 0.856 and 0.842 were obtained for the OS and PFS prognostic models, respectively. scRNA-seq analysis showed high expression levels of adipocytes and adipose tissue macrophages (ATMs) in high BCPRS clusters. Moreover, analysis of ligand-receptor interactions and potential regulatory mechanisms were performed. The LINC00276&MALAT1/miR-206/FZD4-Wnt7b pathway was also identified which may be useful in future research on targets against breast cancer metastasis and recurrence. Neural network-based deep learning models using BCPRS-related genes showed that these genes can be used to map the tumor microenvironment. In summary, analysis of IMAAGs, BCPRS, and BCRRS provides information on the breast cancer microenvironment at both the macro- and microlevels and provides a basis for development of personalized treatment therapy.

A scoping review of practice recommendations for clinicians' communication of uncertainty

BACKGROUND

Health-care providers increasingly have to discuss uncertainty with patients. Awareness of uncertainty can affect patients variably, depending on how it is communicated. To date, no overview existed for health-care professionals on how to discuss uncertainty.

OBJECTIVE

To generate an overview of available recommendations on how to communicate uncertainty with patients during clinical encounters.

SEARCH STRATEGY

A scoping review was conducted. Four databases were searched following the PRISMA-ScR statement. Independent screening by two researchers was performed of titles and abstracts, and subsequently full texts.

INCLUSION CRITERIA

Any (non-)empirical papers were included describing recommendations for any health-care provider on how to orally communicate uncertainty to patients.

DATA EXTRACTION

Data on provided recommendations and their characteristics (eg, target group and strength of evidence base) were extracted. Recommendations were narratively synthesized into a comprehensible overview for clinical practice.

RESULTS

Forty-seven publications were included. Recommendations were based on empirical findings in 23 publications. After narrative synthesis, 13 recommendations emerged pertaining to three overarching goals: (a) preparing for the discussion of uncertainty, (b) informing patients about uncertainty and (c) helping patients deal with uncertainty.

DISCUSSION AND CONCLUSIONS

A variety of recommendations on how to orally communicate uncertainty are available, but most lack an evidence base. More substantial research is needed to assess the effects of the suggested communicative approaches. Until then, health-care providers may use our overview of communication strategies as a toolbox to optimize communication about uncertainty with patients.

PATIENT OR PUBLIC CONTRIBUTION

Results were presented to stakeholders (physicians) to check and improve their practical applicability.

Validity and reliability of the Japanese version of the Peace, Equanimity, and Acceptance in the Cancer Experience (PEACE) questionnaire

OBJECTIVE

The purpose of this study was to investigate the validity and reliability of the Japanese version of the Peace, Equanimity, and Acceptance in the Cancer Experience questionnaire (PEACE-J) and to evaluate the association between the PEACE subscales and Japanese patient characteristics.

METHODS

A cross-sectional web-based survey was conducted among 412 patients with cancer. This survey assessed medical and demographic factors, such as the PEACE, the Coping Inventory for Stressful Situations (CISS), and the Functional Assessment of Chronic Illness Therapy - Spiritual well-being (FACIT-Sp). The forward-backward translation method was used to develop the PEACE-J. The validity of PEACE-J was evaluated by exploratory and confirmatory factor analysis, and correlation analysis between each subscale of PEACE and FACIT-Sp and CISS. The Cronbach's α and the item-total correlation of each subscale of the PEACE questionnaire were calculated to assess internal consistency reliability.

RESULTS

The factor analysis yielded two subscales corresponding to the original version: Cronbach's α coefficients were 0.84 and 0.86 for the Peaceful Acceptance of Illness subscale and the Struggle with Illness subscale, respectively. The PEACE subscales and the FACIT-Sp subscales and the CISS subscales were moderately associated with each other, including the Peaceful Acceptance to each subscale of FACIT (r = 0.22-0.55, p < 0.01); and the Peaceful Acceptance and the Struggle with Illness to CISS emotion-oriented coping (r = -0.36 and r = 0.45, p < 0.01, respectively). Married patients showed higher levels of peaceful acceptance than unmarried patients (p < 0.001). Poorer performance status, chemotherapy use, and recurrence or metastasis were significantly associated with higher levels of struggle with illness (p < 0.001).

SIGNIFICANCE OF RESULTS

This study indicated that the PEACE-J is a valid and reliable measure of the patient's sense of acceptance, calmness or equanimity, and peace, as well as their sense of struggle or desperation concerning their illness.

Oncologists' Communication About Uncertain Information in Second Opinion Consultations: A Focused Qualitative Analysis

Introduction: Uncertainty is omnipresent in cancer care, including the ambiguity of diagnostic tests, efficacy and side effects of treatments, and/or patients' long-term prognosis. During second opinion consultations, uncertainty may be particularly tangible: doubts and uncertainty may drive patients to seek more information and request a second opinion, whereas the second opinion in turn may also affect patients' level of uncertainty. Providers are tasked to clearly discuss all of these uncertainties with patients who may feel overwhelmed by it. The aim of this study was to explore how oncologists communicate about uncertainty during second opinion consultations in medical oncology. Methods: We performed a secondary qualitative analysis of audio-recorded consultations collected in a prospective study among cancer patients (N = 69) who sought a second opinion in medical oncology. We purposively selected 12 audio-recorded second opinion consultations. Any communication about uncertainty by the oncologist was double coded by two researchers and an inductive analytic approach was chosen to allow for novel insights to arise. Results: Seven approaches in which oncologists conveyed or addressed uncertainty were identified: (1) specifying the degree of uncertainty, (2) explaining reasons of uncertainty, (3) providing personalized estimates of uncertainty to patients, (4) downplaying or magnifying uncertainty, (5) reducing or counterbalancing uncertainty, and (6) providing support to facilitate patients in coping with uncertainty. Moreover, oncologists varied in their (7) choice of words/language to convey uncertainty (i.e., "I" vs. "we"; level of explicitness). Discussion: This study identified various approaches of how oncologists communicated uncertain issues during second opinion consultations. These different approaches could affect patients' perception of uncertainty, emotions provoked by it, and possibly even patients' behavior. For example, by minimizing uncertainty, oncologists may (un)consciously steer patients toward specific medical decisions). Future research is needed to examine how these different ways of communicating about uncertainty affect patients. This could also facilitate a discussion about the desirability of certain communication strategies. Eventually, practical and evidence-based guidance needs to be developed for clinicians to optimally inform patients about uncertain issues and support patients in dealing with these.

Communication about Prognosis during Patient-Initiated Second Opinion Consultations in Advanced Cancer Care: An Observational Qualitative Analysis

Prognostic communication is essential for patients with advanced cancer to enable informed medical decision-making and end-of-life planning. Discussing prognosis is challenging, and might be especially complex for oncologists conducting a second opinion (SO). Survival data are often lacking, and consulting oncologists need to consider previously conveyed information and patients’ relationship with the referring oncologist. We qualitatively investigated how advanced cancer patients and consulting oncologists discuss prognosis during audio-recorded SO consultations (N = 60), including prognostic information received from the referring oncologist. Our results show that patients regularly expressed implicit cues to discuss prognosis or posed explicit questions tentatively. Consulting oncologists were mostly unresponsive to patients’ cues and cautious to prognosticate. They also seemed cautious when patients brought up the referring oncologist. Consulting oncologists checked which prognostic information patients had received from the referring oncologist, before estimating prognosis. They agreed with the first opinion or rectified discrepancies carefully. Altogether, this study exposes missed opportunities for open prognostic discussions in SOs. Consulting oncologists could explicitly explore patients’ information preferences and perceptions of prognosis. If desired, they can provide tailored, independent information to optimise patients’ prognostic awareness and informed medical decision-making. They may additionally support patients in dealing with prognosis and the uncertainties associated with it.

An integrative microenvironment approach for laryngeal carcinoma: the role of immune/methylation/autophagy signatures on disease clinical prognosis and single-cell genotypes

The effects of methylation/autophagy-related genes (MARGs) and immune infiltration in the tumor microenvironment on the prognosis of laryngeal cancer were comprehensively explored in this study. Survival analysis screened out 126 MARGs and 10 immune cells potentially associated with the prognosis of laryngeal carcinoma. Cox and lasso regression analyses were then used to select 8 MARGs (CAPN10, DAPK2, MBTPS2, ST13, CFLAR, FADD, PEX14 and TSC2) and 2 immune cells (Eosinophil and Mast cell) to obtain the prognostic risk scoring system (pRS). The pRS was used to establish a risk prediction model for the prognosis of laryngeal cancer. The predictive ability of the prediction model was evaluated by GEO datasets and our clinical samples. Further analysis revealed that pRS is highly associated with single nucleotide polymorphism (SNP), copy number variation (CNV), immune checkpoint blockade (ICB) therapy and tumor microenvironment. Moreover, the screened pRS-related ceRNA network and circ_0002951/miR-548k/HAS2 pathway provide potential therapeutic targets and biomarkers of laryngocarcinoma. Based on the clustering results of pRS-related genes, single cells were then genotyped and revealed by integrated scRNA-seq in laryngeal cancer samples. Fibroblasts were found enriched in high risk cell clusters at the scRNA-seq level. Fibroblast-related ligand-receptor interactions were then exposed and a neural network-based deep learning model based on these pRS-related hub gene signatures was also established with a high accuracy in cell type prediction. In conclusion, the combination of single-cell and transcriptome laryngeal carcinoma landscape analyses can investigate the link between the tumor microenvironmental and prognostic characteristics.

Construction of a prognostic immune signature for lower grade glioma that can be recognized by MRI radiomics features to predict survival in LGG patients

BACKGROUND

This study aimed to identify a series of prognostically relevant immune features by immunophenoscore. Immune features were explored using MRI radiomics features to prediction the overall survival (OS) of lower-grade glioma (LGG) patients and their response to immune checkpoints.

METHOD

LGG data were retrieved from TCGA and categorized into training and internal validation datasets. Patients attending the First Affiliated Hospital of Harbin Medical University were included in an external validation cohort. An immunophenoscore-based signature was built to predict malignant potential and response to immune checkpoint inhibitors in LGG patients. In addition, a deep learning neural network prediction model was built for validation of the immunophenoscore-based signature.

RESULTS

Immunophenotype-associated mRNA signatures (IMriskScore) for outcome prediction and ICB therapeutic effects in LGG patients were constructed. Deep learning of neural networks based on radiomics showed that MRI radiomic features determined IMriskScore. Enrichment analysis and ssGSEA correlation analysis were performed. Mutations in CIC significantly improved the prognosis of patients in the high IMriskScore group. Therefore, CIC is a potential therapeutic target for patients in the high IMriskScore group. Moreover, IMriskScore is an independent risk factor that can be used clinically to predict LGG patient outcomes.

CONCLUSIONS

The IMriskScore model consisting of a sets of biomarkers, can independently predict the prognosis of LGG patients and provides a basis for the development of personalized immunotherapy strategies. In addition, IMriskScore features were predicted by MRI radiomics using a deep learning approach using neural networks. Therefore, they can be used for the prognosis of LGG patients.

Discussing Prognosis with Empathy to Cancer Patients

PURPOSE OF REVIEW

Our goal was to provide healthcare professionals (HCPs) with evidence-based data about what can be done to handle prognostic discussions with empathy.

RECENT FINDINGS

First, disclosing prognosis involves a good reason to do so and making sure that the patient will be able to process the discussion. Second, communication tips are given for the three dimensions of empathy: "establishing rapport with the patient," which should not be overlooked; the emotional dimension, which involves an accurate understanding of the patient and communication skills; and the "active/positive" dimension which is about giving hope, explaining things clearly and helping patients take control with shared decision-making and a planned future. Although communication tips are helpful, empathy training should be based more on the development of HCPs' emotional skills, in order to help them regulate their emotions and thus be more comfortable with those of patients and families. Furthermore, research into empathy toward minorities and relatives is needed.

Advance care planning in Asian culture

Ageing has been recognized as one of the most critically important health-care issues worldwide. It is relevant to Asia, where the increasing number of older populations has drawn attention to the paramount need for health-care investment, particularly in end-of-life care. The advocacy of advance care planning is a mean to honor patient autonomy. Since most East Asian countries are influenced by Confucianism and the concept of 'filial piety,' patient autonomy is consequently subordinate to family values and physician authority. The dominance from family members and physicians during a patient's end-of-life decision-making is recognized as a cultural feature in Asia. Physicians often disclose the patient's poor prognosis and corresponding treatment options to the male, family member rather to the patient him/herself. In order to address this ethical and practical dilemma, the concept of 'relational autonomy' and the collectivism paradigm might be ideally used to assist Asian people, especially older adults, to share their preferences on future care and decision-making on certain clinical situations with their families and important others. In this review article, we invited experts in end-of-life care from Hong Kong, Indonesia, Japan, South Korea, Singapore and Taiwan to briefly report the current status of advance care planning in each country from policy, legal and clinical perspectives. According to the Asian experiences, we have seen different models of advance care planning implementation. The Asian Delphi Taskforce for advance care planning is currently undertaken by six Asian countries and a more detailed, culturally sensitive whitepaper will be published in the near future.

Conditional Survival After Resection for Pancreatic Cancer: A Population-Based Study and Prediction Model

Background

Conditional survival is the survival probability after already surviving a predefined time period. This may be informative during follow-up, especially when adjusted for tumor characteristics. Such prediction models for patients with resected pancreatic cancer are lacking and therefore conditional survival was assessed and a nomogram predicting 5-year survival at a predefined period after resection of pancreatic cancer was developed.

Methods

This population-based study included patients with resected pancreatic ductal adenocarcinoma from the Netherlands Cancer Registry (2005–2016). Conditional survival was calculated as the median, and the probability of surviving up to 8 years in patients who already survived 0–5 years after resection was calculated using the Kaplan–Meier method. A prediction model was constructed.

Results

Overall, 3082 patients were included, with a median age of 67 years. Median overall survival was 18 months (95% confidence interval 17–18 months), with a 5-year survival of 15%. The 1-year conditional survival (i.e. probability of surviving the next year) increased from 55 to 74 to 86% at 1, 3, and 5 years after surgery, respectively, while the median overall survival increased from 15 to 40 to 64 months at 1, 3, and 5 years after surgery, respectively. The prediction model demonstrated that the probability of achieving 5-year survival at 1 year after surgery varied from 1 to 58% depending on patient and tumor characteristics.

Conclusions

This population-based study showed that 1-year conditional survival was 55% 1 year after resection and 74% 3 years after resection in patients with pancreatic cancer. The prediction model is available via www.pancreascalculator.com to inform patients and caregivers.

Electronic supplementary material

The online version of this article (10.1245/s10434-020-08235-w) contains supplementary material, which is available to authorized users.

The Effects of Adding Reassurance Statements: Cancer Patients' Preferences for Phrases in End-of-Life Discussions

CONTEXT

When discussing end-of-life issues with cancer patients, the addition of reassurance statements is considered helpful. However, patients' preferences for such statements have not been systematically demonstrated.

OBJECTIVES

The objectives of this study were to clarify if phrases with additional reassurance statements would be more preferable to phrases without them and explore variables associated with patients' preferences.

METHODS

In a cross-sectional survey, 412 cancer patients assessed their own preferences for phrases with/without additional statements using a six-point scale (1 = not at all preferable; 6 = very preferable). These included the statements of "hope for the best and prepare for the worst" ("hope/prepare") when discussing prognosis; symptom palliation when discussing code status; and specific goals, continuity of care, and nonabandonment when discussing hospice referral. We evaluated demographic data and the coping style and conducted multivariate regression analysis.

RESULTS

Compared with the phrase of life expectancy (i.e., median + typical range) alone [mean (SD), 3.5 (1.2); 95% CI, 3.4-3.6], the phrase with the additional "hope/prepare" statement was more preferable [3.8 (1.4); 3.7-3.9]. Compared with the phrase of do-not-resuscitate alone (3.1(1.3); 3.0-3.3), the phrase with the additional statement of symptom palliation was more preferable [3.9 (1.3); 3.7-4.0]. Compared with the phrase of hospice referral alone [3.4 (1.2); 3.3-3.5], phrases with the addition of a specific goal [3.9 (1.0); 3.8-4.0], specific goal and continuity (4.4(1.0); 4.3-4.5), and specific goal, continuity, and nonabandonment [4.8 (1.2); 4.7-4.9] were more preferable. In multivariate analyses, task-oriented coping was significantly correlated with preferences for phrases including additional reassurance statements.

CONCLUSION

Cancer patients systematically preferred reassurance statements. In end-of-life discussions, especially with patients with task-oriented coping, clinicians may provide additional reassurance statements.