Opportunities for Achieving the Cancer Moonshot Goal of a 50% Reduction in Cancer Mortality by 2047

Vitamins and fatty acids against chemotherapy-induced intestinal mucositis

Chemotherapy has allowed an increase in cancer survivorship, but it causes important adverse effects. Mucositis affecting the gastrointestinal tract is one of the main problems acutely caused by many antineoplastic drugs, such as 5-fluorouracil or methotrexate. Mucositis may cause pain, diarrhea, anorexia, weight loss, systemic infections and even death. This narrative review focuses on intestinal mucositis and the role that some nutraceuticals, namely vitamins (both lipid- and water-soluble) as well as fatty acids (FAs) and lipid-based products, can have in it. In preclinical (cell cultures, animal models) and/or human studies, vitamins A, D, E, B2, B9 and C, omega-3 long-chain FAs (eicosapentaenoic, docosahexaenoic, conjugated linoleic acid), short-chain FAs (mainly butyrate), medium-chain FAs (capric acid), and different lipid-based products (emu oil, extra-virgin olive oil, lipid replacement therapy), enriched in beneficial FAs and natural antioxidants, were shown to exert beneficial effects (both preventative and palliative) against chemotherapy-induced intestinal mucositis. Although the exact mechanisms of action involved in these effects are not yet well known, our review highlights the interest of investigating on diet and nutrition to implement scientifically robust strategies to improve protection of cancer patients against chemotherapy-induced adverse effects.

The Annual Cost of Cancer Screening in the United States

BACKGROUND

Cancer has substantial health, quality-of-life, and economic impacts. Screening may decrease cancer mortality and treatment costs, but the cost of screening in the United States is unknown.

OBJECTIVE

To estimate the annual cost of initial cancer screening (that is, screening without follow-up costs) in the United States in 2021.

DESIGN

Model using national health care survey and cost resources data.

SETTING

U.S. health care systems and institutions.

PARTICIPANTS

People eligible for breast, cervical, colorectal, lung, and prostate cancer screening with available data.

MEASUREMENTS

The number of people screened and associated health care system costs by insurance status in 2021 dollars.

RESULTS

Total health care system costs for initial cancer screenings in the United States in 2021 were estimated at $43 billion. Approximately 88.3% of costs were attributable to private insurance; 8.5% to Medicare; and 3.2% to Medicaid, other government programs, and uninsured persons. Screening for colorectal cancer represented approximately 64% of the total cost; screening colonoscopy represented about 55% of the total. Facility costs (amounts paid to facilities where testing occurred) were major drivers of the total estimated costs of screening.

LIMITATIONS

All data on receipt of cancer screening are based on self-report from national health care surveys. Estimates do not include costs of follow-up for positive or abnormal screening results. Variations in costs based on geography and provider or health care organization are not fully captured.

CONCLUSION

The $43 billion estimated annual cost for initial cancer screening in the United States in 2021 is less than the reported annual cost of cancer treatment in the United States in the first 12 months after diagnosis. Identification of cancer screening costs and their drivers is critical to help inform policy and develop programmatic priorities, particularly for enhancing access to recommended cancer screening services.

PRIMARY FUNDING SOURCE

None.

Age-Specific Cancer Mortality in the US During the COVID-19 Pandemic, March to December 2020

BACKGROUND

It is important to understand the impact of the COVID-19 pandemic on cancer death rates in 2020 in the US. We estimated whether there were larger-than-expected changes in cancer mortality rates from March to December 2020 after accounting for temporal and seasonal patterns using data from January 2011 to February 2020 by cancer type and age.

METHODS

We obtained death counts and underlying causes of death by cancer type, month/year (2011-2020), and age group from the National Center for Health Statistics and population estimates from the US Census Bureau. Poisson regression was used to test for significant changes in cancer death rates from March to December 2020 compared with prior years.

RESULTS

After accounting for temporal trends and seasonal patterns, total cancer death rates were significantly lower than expected during March to December 2020 among 55- to 64-year-olds and ≥75-year-olds, but not in other age groups. Cancer death rates were 2% lower than expected from March to June among 55- to 64-year-olds and 2% to 3% lower from March to July and December among ≥75-year-olds. Among ≥75-year-olds, colorectal cancer death rates were lower from March to June [rate ratios (RR) = 0.94-0.96; P < 0.05]; however, lung cancer death rates were 5% lower across each month (all RRs = 0.95; P < 0.05).

CONCLUSIONS

In the US, cancer death rates based on the underlying cause of death were broadly similar to expected rates from March to December 2020. However, cancer death rates were lower than expected among 55- to 64-year-olds and ≥75-year-olds, likely due to COVID-19 as a competing cause of death.

IMPACT

Cancer mortality rates from 2020 should be interpreted with caution.

Projecting the Impact of Multi-Cancer Early Detection on Late-Stage Incidence Using Multi-State Disease Modeling

BACKGROUND

Downstaging-reduction in late-stage incidence-has been proposed as an endpoint in randomized trials of multi-cancer early detection (MCED) tests. How downstaging depends on test performance and follow-up has been studied for some cancers but is understudied for cancers without existing screening and for MCED tests that include these cancer types.

METHODS

We develop a model for cancer natural history that can be fit to registry incidence patterns under minimal inputs and can be estimated for solid cancers without existing screening. Fitted models are combined to project downstaging in MCED trials given sensitivity for early- and late-stage cancers. We fit models for 12 cancers using incidence data from the Surveillance, Epidemiology, and End Results program and project downstaging in a simulated trial under variable preclinical latencies and test sensitivities.

RESULTS

A proof-of-principle lung cancer model approximated downstaging in the National Lung Screening Trial. Given published stage-specific sensitivities for 12 cancers, we projected downstaging ranging from 21% to 43% across plausible preclinical latencies in a hypothetical 3-screen MCED trial. Late-stage incidence reductions manifest soon after screening begins. Downstaging increases with longer early-stage latency or higher early-stage test sensitivity.

CONCLUSIONS

Even short-term MCED trials could produce substantial downstaging given adequate early-stage test sensitivity.

IMPACT

Modeling the natural histories of cancers without existing screening facilitates analysis of novel MCED products and trial designs. The framework informs expectations of MCED impact on disease stage at diagnosis and could serve as a building block for designing trials with late-stage incidence as the primary endpoint.

Trends in smoking-attributable and smoking-unrelated lung cancer death rates in the United States, 1991-2018

BACKGROUND

In the United States, lung cancer death rates have been declining for decades, primarily as a result of pronounced decreases in cigarette smoking. It is unclear, however, whether there have been similar declines in mortality rates of lung cancer unrelated to smoking. We estimated trends in US lung cancer death rates attributable and not attributable to smoking from 1991 to 2018.

METHODS

The study included 30- to 79-year-olds in the National Health Interview Survey who were linked to the National Death Index, 1991-2014. Adjusted hazard ratios for smoking status and lung cancer death were estimated, and age-specific population attributable fractions were calculated. Annual population attributable fractions were multiplied by annual US national lung cancer mortality, partitioning rates into smoking-attributable and smoking-unrelated lung cancer deaths. All statistical tests were 2-sided.

RESULTS

During 1991-2018, the proportion of never smokers increased among both men (35.1%-54.6%) and women (54.0%-65.4%). Compared with those who had ever smoked, those who had never smoked had 86% lower risk (hazard ratio = 0.14; 95% confidence interval [CI] = 0.12 to 0.16) of lung cancer death. The fraction of lung cancer deaths attributable to smoking decreased from 81.4% (95% CI = 78.9 to 81.4) to 74.7% (95% CI = 78.1 to 71.4). Smoking-attributable lung cancer death rates declined 2.7% per year (95% CI = ‒2.9% to ‒2.5%) and smoking-unrelated lung cancer death rates declined 1.8% per year (95% CI = ‒2.0% to ‒1.5%); these declines have accelerated in recent years.

CONCLUSIONS

An increasing proportion of lung cancer deaths are unrelated to smoking based on declines in smoking prevalence. Smoking-unrelated lung cancer death rates have declined, however, perhaps because of decreases in secondhand smoke and air pollution exposure as well as treatment improvements.

Using the National Cancer Plan to Drive Innovation in Cancer Research

SUMMARY

The NCI director presents her vision of the National Cancer Plan as an integrated framework that can help drive innovation in cancer research to speed progress toward ending cancer as we know it.

The Long Behavioral Tail of the COVID-19 Pandemic-A Cancer Control Perspective

This Viewpoint discusses the impact of the COVID-19 public health emergency on the trajectory of cancer deaths.

Stem cell modeling of nervous system tumors

Nervous system tumors, particularly brain tumors, represent the most common tumors in children and one of the most lethal tumors in adults. Despite decades of research, there are few effective therapies for these cancers. Although human nervous system tumor cells and genetically engineered mouse models have served as excellent platforms for drug discovery and preclinical testing, they have limitations with respect to accurately recapitulating important aspects of the pathobiology of spontaneously arising human tumors. For this reason, attention has turned to the deployment of human stem cell engineering involving human embryonic or induced pluripotent stem cells, in which genetic alterations associated with nervous system cancers can be introduced. These stem cells can be used to create self-assembling three-dimensional cerebral organoids that preserve key features of the developing human brain. Moreover, stem cell-engineered lines are amenable to xenotransplantation into mice as a platform to investigate the tumor cell of origin, discover cancer evolutionary trajectories and identify therapeutic vulnerabilities. In this article, we review the current state of human stem cell models of nervous system tumors, discuss their advantages and disadvantages, and provide consensus recommendations for future research.

Cancer in 2023

SUMMARY

Excerpts from the 13th edition of the annual AACR Cancer Progress Report (https://cancerprogressreport.aacr.org/progress/) to U.S. Congress and the public highlight current challenges in achieving the goal of the Cancer Moonshot to reduce the cancer death rate in the United States by 50% by 2047 and a call to action for robust, sustained support of medical research funding is issued.

The Cancer Moonshot Immuno-Oncology Translational Network at 5: accelerating cancer immunotherapies

The Immuno-Oncology Translational Network (IOTN) was established in 2018 as part of the Cancer Moonshot. In 2022, President Joe Biden set new goals to reduce the cancer death rate by half within 25 years and improve the lives of people with cancer and cancer survivors. The IOTN is focused on accelerating translation of cancer immunology research, from bench to bedside, and improving immunotherapy outcomes across a wide array of cancers in the adult population. The unique structure and team science approach of the IOTN is designed to accelerate discovery and evaluation of novel immune-based therapeutic and prevention strategies. In this article, we describe IOTN progress to date, including new initiatives and the development of a robust set of resources to advance cancer immunology research. We summarize new insights by IOTN researchers, some of which are ripe for translation for several types of cancers. Looking to the future, we identify barriers to the translation of immuno-oncology concepts into clinical trials and key areas for action and improvements that are suitable for high-yield investments. Based on these experiences, we recommend novel National Institutes of Health funding mechanisms and development of new resources to address these barriers.