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This study explored the relationship between existing community resources and community leaders’ perceptions of resilience and rural health during COVID-19. Observational data of material capitals (e.g., grocery stores and physical activity resources) present in five rural communities involved in a health promotion project were collected and compared with key informant interviews of perceived community health and resilience during the COVID-19 pandemic. The analysis compares the differences in community leaders’ perceptions of resilience during the pandemic to the actual material capitals of the community. While these rural counties were average in terms of available physical activity and nutritional resources, the onset of the pandemic led to varying degrees of disruption in access due to structural closures of mainstay resources, as well as residents perceiving that they cannot or should not access available resources. In addition, county coalition progress was stalled as individuals and groups could not gather together to complete projects, such as building playground equipment. This study demonstrates that existing quantitative instruments, such as NEMS and PARA, fail to take into account perceived access and utility of resources. Therefore, practitioners should consider multiple ways to evaluate resources, capacity, and progress on a health intervention or program and consider community voice to ensure feasibility, relevance, and sustainability—especially when faced with a public health emergency like COVID-19.

The success of targeted or immune therapies is often hampered by the emergence of resistance and/or clinical benefit in only a subset of patients. We hypothesized that combining targeted therapy with immune modulation would show enhanced antitumor responses. Here, we explored the combination potential of erdafitinib, a fibroblast growth factor receptor (FGFR) inhibitor under clinical development, with PD-1 blockade in an autochthonous FGFR2K660N/p53mut lung cancer mouse model. Erdafitinib monotherapy treatment resulted in substantial tumor control but no significant survival benefit. Although anti–PD-1 alone was ineffective, the erdafitinib and anti–PD-1 combination induced significant tumor regression and improved survival. For both erdafitinib monotherapy and combination treatments, tumor control was accompanied by tumor-intrinsic, FGFR pathway inhibition, increased T-cell infiltration, decreased regulatory T cells, and downregulation of PD-L1 expression on tumor cells. These effects were not observed in a KRASG12C-mutant genetically engineered mouse model, which is insensitive to FGFR inhibition, indicating that the immune changes mediated by erdafitinib may be initiated as a consequence of tumor cell killing. A decreased fraction of tumor-associated macrophages also occurred but only in combination-treated tumors. Treatment with erdafitinib decreased T-cell receptor (TCR) clonality, reflecting a broadening of the TCR repertoire induced by tumor cell death, whereas combination with anti–PD-1 led to increased TCR clonality, suggesting a more focused antitumor T-cell response. Our results showed that the combination of erdafitinib and anti–PD-1 drives expansion of T-cell clones and immunologic changes in the tumor microenvironment to support enhanced antitumor immunity and survival.

The anti-spike T-cell and antibody responses to SARS-CoV-2 mRNA vaccines in patients with B-cell malignancies were examined in a real-world setting. A next-generation sequencing (NGS)–based molecular assay was used to assess SARS-CoV-2–specific T-cell responses. After the second dose, 58% (166/284) of seropositive and 45% (99/221) of seronegative patients display anti-spike T cells. The percentage of patients who displayed T-cell response was higher among patients receiving mRNA-1273 vaccines compared with those receiving BNT162b2 vaccines. After the third vaccination, 40% (137/342) of patients seroconverted, although only 22% displayed sufficient antibody levels associated with the production of neutralizing antibodies. 97% (717/738) of patients who were seropositive before the third dose had markedly elevated anti-spike antibody levels. Anti-spike antibody levels, but not T-cell responses, were depressed by B cell–directed therapies. Vaccinated patients with B-cell malignancies with a poor response to SARS-CoV-2 vaccines may remain vulnerable to COVID-19 infections.Significance:This study represents the first investigation of SARS-CoV-2–specific immune responses to vaccination in a patient registry using an NGS-based method for T-cell receptor repertoire–based analysis combined with anti-spike antibody assessments. Vaccinated patients with B cell–derived hematologic malignancies are likely at higher risk of infection or severe COVID-19.This article is highlighted in the In This Issue feature, p. 476

Supplemental figure legends 1-8, Supplementary tables 1-5, and Supplementary methods

Supplementary Figure from Anti-spike T-cell and Antibody Responses to SARS-CoV-2 mRNA Vaccines in Patients with Hematologic Malignancies

Supplemental Figures 1-8

Evaluation of expression of OX40, PD-1, and PD-L1 and proliferation and apoptosis in CD8+ T-cells in vitro.

Supplementary Figure 3 has the top 25 TCR clones from tumor biopsies at pre-treatment and the frequency of these clones in the blood.

Therapeutic antibodies blocking programmed death-1 and its ligand (PD-1/PD-L1) induce durable responses in a substantial fraction of melanoma patients. We sought to determine whether the number and/or type of mutations identified using a next-generation sequencing (NGS) panel available in the clinic was correlated with response to anti–PD-1 in melanoma. Using archival melanoma samples from anti–PD-1/PD-L1-treated patients, we performed hybrid capture–based NGS on 236–315 genes and T-cell receptor (TCR) sequencing on initial and validation cohorts from two centers. Patients who responded to anti–PD-1/PD-L1 had higher mutational loads in an initial cohort (median, 45.6 vs. 3.9 mutations/MB; P = 0.003) and a validation cohort (37.1 vs. 12.8 mutations/MB; P = 0.002) compared with nonresponders. Response rate, progression-free survival, and overall survival were superior in the high, compared with intermediate and low, mutation load groups. Melanomas with NF1 mutations harbored high mutational loads (median, 62.7 mutations/MB) and high response rates (74%), whereas BRAF/NRAS/NF1 wild-type melanomas had a lower mutational load. In these archival samples, TCR clonality did not predict response. Mutation numbers in the 315 genes in the NGS platform strongly correlated with those detected by whole-exome sequencing in The Cancer Genome Atlas samples, but was not associated with survival. In conclusion, mutational load, as determined by an NGS platform available in the clinic, effectively stratified patients by likelihood of response. This approach may provide a clinically feasible predictor of response to anti–PD-1/PD-L1. Cancer Immunol Res; 4(11); 959–67. ©2016 AACR.

TCR Sequencing data of each patient

Although immunotherapeutic strategies are emerging as adjunctive treatments for cancer, sensitive methods of monitoring the immune response after treatment remain to be established. We used a novel next-generation sequencing approach to determine whether quantitative assessments of tumor-infiltrating lymphocyte (TIL) content and the degree of overlap of T-cell receptor (TCR) sequences in brain tumors and peripheral blood were predictors of immune response and overall survival in glioblastoma patients treated with autologous tumor lysate–pulsed dendritic cell immunotherapy. A statistically significant correlation was found between a higher estimated TIL content and increased time to progression and overall survival. In addition, we were able to assess the proportion of shared TCR sequences between tumor and peripheral blood at time points before and after therapy, and found the level of TCR overlap to correlate with survival outcomes. Higher degrees of overlap, or the development of an increased overlap following immunotherapy, was correlated with improved clinical outcome, and may provide insights into the successful, antigen-specific immune response. Cancer Immunol Res; 4(5); 412–8. ©2016 AACR.

Supplementary Table 1: Results for samples obtained (less than or equal to) 12 months prior to therapy (optimal) vs. those obtained >12 months from treatment or shortly after starting therapy (non-optimal). Supplementary Table 2: Cox proportional hazards model of OS adjusting for baseline variables. Supplementary Table 3: Cox proportional hazards model of PFS adjusting for baseline variables. Figure S1: (A) Performance of mutational load across a range of potential thresholds. (B) Receiver Operating Curve (ROC) for mutational loads cutoffs of 3.3 mutations/MB (low mutational load group) and 23.1 mutations/MB (high mutational load group). Figure S2: (A) Mutational load in tumors with cutaneous/unknown primaries in responders vs. non-responders. (B) Mutational load in tumors with non-cutaneous primaries (acral, mucosal, uveal) in responders vs. non-responders. (C) Gene amplifications and deletions in responders vs. non-responders. Figure S3: (A) LRP1B mutations/variants of unknown significance in responders vs. non-responders. (B) Total number of mutations among melanomas with and without LRP1B mutations. (C) Association between number of LRP1B mutations and total mutations in the melanoma TCGA. Figure S4: (A) T cell receptor (TCR) clonality in responders vs. non-responders. (B) T cell fraction in responders vs. non-responders. (C) TCR clonality in responders vs. non-responders in ideal samples, defined as those obtained within 4 months of anti-PD-1/PD-L1 treatment without other prior therapies. (D) T cell fraction in these ideal samples. Figure S5: Mutation load correlated with (A) T cell receptor (TCR) clonality and (B) T cell fraction.

Combination therapies that depend on checkpoint inhibitor antibodies (Abs) such as for PD-1 or its ligand (PD-L1) together with immune stimulatory agonist Abs like anti-OX40 are being tested in the clinic to achieve improved antitumor effects. Here, we studied the potential therapeutic and immune effects of one such combination: Ab to PD-1 with agonist Ab to OX40/vaccine. We tested the antitumor effects of different treatment sequencing of this combination. We report that simultaneous addition of anti–PD-1 to anti-OX40 negated the antitumor effects of OX40 Ab. Antigen-specific CD8+ T-cell infiltration into the tumor was diminished, the resultant antitumor response weakened, and survival reduced. Although we observed an increase in IFNγ-producing E7-specifc CD8+ T cells in the spleens of mice treated with the combination of PD-1 blockade with anti-OX40/vaccine, these cells underwent apoptosis both in the periphery and the tumor. These results indicate that anti–PD-1 added at the initiation of therapy exhibits a detrimental effect on the positive outcome of anti-OX40 agonist Ab. These findings have important implications on the design of combination immunotherapy for cancer, demonstrating the need to test treatment combination and sequencing before moving to the clinic. Cancer Immunol Res; 5(9); 755–66. ©2017 AACR.

Clinical patient characteristics

Cox Proportional Hazard table of the Estimated TIL content and patient survival

Supplementary Figure 1 shows representative IHC staining of TIL to confirm that these T cells are found in the parenchyma of the tumor and not tumor blood vessels.

Supplementary Figure Legends

Uganda has high incidence rates of cervical cancer (47.5/100,000/year) due to limited screening access. In settings where men hold most of the decision-making power, they play an important role in women's uptake of cervical cancer screening. We aimed to capture men's knowledge, beliefs and perspectives about cervical cancer, community-based screening and health system barriers. Focus group discussions were conducted with men in rural Uganda. Data were verbatim translated and transcribed into English. Transcripts were analysed in ATLAS.ti using a deductive approach of thematic content analysis and applied to an implementation research framework. Twenty-three men participated in focus groups. Men held poor knowledge of cervical cancer, its causes and treatment. Men felt screening would be acceptable by women if men and women were educated. Men highlighted health system barriers to accessing screening including: 1) poor-quality health services, 2) large distances to facilities/lack of affordable transportation and 3) lack of health workers/mistreatment by health workers. Men described supporting women through assisting with transportation, psychosocial support and sharing information. They requested services for men to be decentralized alongside community outreaches for cervical cancer screening. Engaging men in the implementation, education and planning of community-based cervical cancer screening programs is critical. Not engaging men is a missed opportunity to provide them with services and education. Concerted efforts must be made in educating men and reducing health system barriers to ensure rural women receive cervical cancer screening and follow-up care in low-income settings. Clinicaltrials.gov, NCT04000503; Registered 27 June 2019.

Supplementary Table S2